Evolving Roles of Histologic Evaluation and Molecular/Genomic Profiling in the Management of Endometrial Cancer

Authors:
Rajmohan Murali From the Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York; Department of Pathology, Duke University School of Medicine, Durham, North Carolina; Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York; and Department of Obstetrics and Gynecology, Weill Cornell Medical College, New York, New York.

Search for other papers by Rajmohan Murali in
Current site
Google Scholar
PubMed
Close
 MBBS, MD
,
Deborah F. Delair From the Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York; Department of Pathology, Duke University School of Medicine, Durham, North Carolina; Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York; and Department of Obstetrics and Gynecology, Weill Cornell Medical College, New York, New York.

Search for other papers by Deborah F. Delair in
Current site
Google Scholar
PubMed
Close
 MD
,
Sarah M. Bean From the Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York; Department of Pathology, Duke University School of Medicine, Durham, North Carolina; Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York; and Department of Obstetrics and Gynecology, Weill Cornell Medical College, New York, New York.

Search for other papers by Sarah M. Bean in
Current site
Google Scholar
PubMed
Close
 MD
,
Nadeem R. Abu-Rustum From the Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York; Department of Pathology, Duke University School of Medicine, Durham, North Carolina; Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York; and Department of Obstetrics and Gynecology, Weill Cornell Medical College, New York, New York.
From the Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York; Department of Pathology, Duke University School of Medicine, Durham, North Carolina; Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York; and Department of Obstetrics and Gynecology, Weill Cornell Medical College, New York, New York.

Search for other papers by Nadeem R. Abu-Rustum in
Current site
Google Scholar
PubMed
Close
 MD
, and
Robert A. Soslow From the Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York; Department of Pathology, Duke University School of Medicine, Durham, North Carolina; Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York; and Department of Obstetrics and Gynecology, Weill Cornell Medical College, New York, New York.

Search for other papers by Robert A. Soslow in
Current site
Google Scholar
PubMed
Close
 MD
Full access

Endometrial cancers are the most common gynecologic malignancies. The staging of endometrial cancer has evolved from a clinical-based system to a comprehensive surgical-pathologic approach that allows for better risk stratification and treatment planning. Over the past few years, use of NCCN's sentinel lymph node (SLN) mapping algorithm for the surgical staging of endometrial cancer has gained significant acceptance and is now commonly applied in many practices. However, pathologic evaluation of prognostic factors is beset by challenges, including the reproducibility of histologic classification and FIGO's grading, as well as the questionable clinical significance of low-volume tumor in SLNs. With the revelation of major genomic classes of endometrial cancer comes the potential for improved, reproducible, and prognostically relevant classification schemes, which integrate traditional pathologic parameters with genomic findings, to aid in treatment decisions. Pathologic identification of new variants of endometrial cancer, such as undifferentiated carcinoma, continues to advance the phenotypic spectrum of these tumors, spurring genomic and functional studies to further characterize their mechanistic underpinnings and potentially reveal new avenues for treatment. In the era of precision medicine, pathologic assessment of biomarkers (eg, mismatch repair proteins) and recognition of phenotypes that are amenable to specific targeted therapies (such as POLE-mutated tumors) have become integral to the management of women with endometrial carcinoma.

Endometrial cancers constitute more than half of all gynecologic cancer diagnoses in the United States.1 Pathologic evaluation is an important element of disease management. As management approaches continue to evolve in response to reported data from clinicopathologic and molecular genetic studies, pathology will continue to play a central role in diagnosis, prognostic assessment, and treatment planning.

Evolution of Surgical-Pathologic Staging

Most patients with endometrial cancer present with abnormal bleeding and undergo initial evaluation with pelvic ultrasonography and endometrial biopsy/curettage. Histopathologic evaluation of the biopsy/curettage specimen is performed to confirm the diagnosis.2,3 Early staging schemes were essentially based on clinical findings, but since 1988, a more accurate surgical-pathologic staging approach has been used (Table 1).4

Comprehensive Surgical Staging

Preoperatively, staging is performed to estimate recurrence risk, and is based on the imaging evaluation of myometrial invasion, cervical involvement, and lymph node metastasis. MRI and transvaginal ultrasonography are effective modalities for assessing myometrial and cervical invasion, but imaging is poor at detecting lymph

Table 1.

Evolution of FIGO Endometrial Cancer Staging Classification

Table 1.
node metastases. Accurate staging, therefore, relies on comprehensive surgical staging to obtain specimens that can be thoroughly examined by pathologists for key prognostic factors, including myometrial invasion; cervical involvement; adnexal, peritoneal, and lymph node metastasis; histologic type and grade; and lymphovascular space involvement. Risk stratification systems incorporating pathologic prognostic factors are crucial in guiding clinical management decisions.57

Traditional and historical surgical staging of endometrial cancer involves removing the uterus, cervix, adnexa, and pelvic and para-aortic lymph nodes, and obtaining pelvic washings, followed by pathologic examination. This allows for an accurate diagnosis, identification of disease extent, prognostic assessment, and selection of patients for adjuvant therapy. The advantage of surgical-pathologic staging over clinical staging was reported in the GOG 33 trial, which showed that 9% of patients with clinical stage I disease had pelvic nodal involvement, 6% had para-aortic lymphadenopathy, 5% had adnexal involvement, and 6% had other extrauterine metastases.8 Comprehensive surgical staging also identifies patients with advanced-stage disease who require radiation therapy and/or chemotherapy; those with low-stage disease with high-risk features (high-grade tumors, deep myometrial invasion, lymphovascular space involvement) who should receive adjuvant treatment; and those without high-risk features who may safely be spared adjuvant chemoradiation and its attendant morbidity.8,9

Despite the benefits of a surgical-pathologic staging system, the 2009 International Federation of Gynecology and Obstetrics (FIGO) staging system has its limitations, particularly in the setting of corpus-confined carcinoma. Because the current staging scheme applies uniformly to all cases, irrespective of staging adequacy or tumor type, clinical outcomes are highly variable. For example, using the Memorial Sloan Kettering Cancer Center Endometrial Cancer Nomogram,10 a 65-year-old woman with FIGO grade 1 endometrioid carcinoma, middle-third myometrial invasion, and a benign lymphadenectomy would have an estimated 5-year overall survival (OS) rate of 92%, whereas a 65-year-old woman with serous carcinoma, middle-third myometrial invasion, and no lymph node evaluation would have an estimated 5-year OS rate of only 64%. This observation prompted a proposal to amend the current FIGO staging scheme.11

Another controversy related to surgical staging in endometrial cancer is the role of para-aortic lymph node dissection. It has been shown that the rate of isolated para-aortic lymph node involvement in the absence of pelvic lymph node involvement is very low (<2%).12 Patients with high-risk disease have a higher frequency of para-aortic lymph node involvement, suggesting that para-aortic lymphadenectomy should be performed as part of surgical staging in these patients.13 However, a classification and regression tree analysis found that OS was predicted by FIGO stage and grade (a binary system of low- vs high-grade) but not by para-aortic lymph node status,14 advocating for an approach with less extensive lymph node dissection.

Sentinel Lymph Node Mapping

Approximately 6% to 23% of women with endometrial cancer who undergo pelvic lymphadenectomy develop long-term morbidity, such as lymphedema.15,16 However, this is likely an underestimation, given that patient surveys have indicated leg lymphedema rates as high as 20% to 40%.16 To reduce this morbidity and improve the detection of lymph node metastases, a sentinel lymph node (SLN) mapping approach to the management of endometrial cancer was introduced and has been incorporated as an option in the NCCN Clinical Practice Guidelines in Oncology (NCCN Guidelines) for Uterine Neoplasms since 2014.17 The goal of SLN mapping is to initially target and assess the lymph nodes most likely to be involved by metastatic cancer (ie, the sentinel, or first, nodes in the path of lymphatic flow away from the tumor), thereby limiting the extent of surgery and morbidity associated with extensive lymphadenectomy. This technique identifies SLNs in approximately 85% of patients, of whom 12% have positive SLNs.18 Detailed pathologic examination of SLNs (ultrastaging), which includes the assessment of multiple sections using routine stains, as well as immunohistochemistry, for epithelial markers,19 allows for the detection of low-volume metastases that can be missed with standard techniques.18,19 SLN assessment also can refine surgical-pathologic stage; for example, in one study, SLN biopsy results upstaged 10% of patients with low-risk and 15% of those with intermediate-risk endometrial cancer,20 with implications for adjuvant treatment planning.

Challenges in the Pathologic Evaluation of Critical Prognostic Factors

Assignment of histotype is straightforward in most endometrial cancers, but can be exceedingly difficult in some high-grade tumors exhibiting morphologic ambiguity.21,22 There are several risk-group stratification systems based on surgical-pathologic staging of endometrial cancer7,9,13,2327; however, the poor reproducibility of histotype and grade classification21,22,2830 presents challenges for accurate prognostic assessment,27 selecting optimal treatment, determining eligibility for clinical trials, and comparison of treatment interventions between studies. Integrating pathologic parameters with findings of molecular genetic analyses (described herein) may provide a more accurate and prognostically relevant classification of these tumors.3134

Tumor grade and histotype designation in preoperative biopsy and curettage specimens may be incorrect.35 For example, in one study, 1% of preoperative grade 1 endometrioid adenocarcinomas were upgraded to grade 2/3 cancers, and a further 1% harbored a high-risk histotype (serous or clear cell carcinoma) in the hysterectomy specimens.36 Similarly, the undifferentiated component of a dedifferentiated carcinoma, which often lies deep to the well-differentiated component, may not be sampled in a biopsy or curettage specimen.37,38 These sampling errors are more likely to occur with small-volume samples. In these cases, there is a potential for surgical under-staging due to the failure to detect high-risk features (high-grade tumor component) in the preoperative specimens.

Although SLN biopsy offers the advantages of accurate staging and reduced morbidity from avoidance of an unnecessary lymphadenectomy, its long-term survival benefits, if any, are unknown.3 Furthermore, the clinical significance of small tumor volumes (eg, isolated tumor cells) in SLNs is unknown, and further studies with long-term follow-up are ongoing.

Evolving Diagnostic Paradigms in Endometrial Cancer and Clinical Implications

Molecular Genetic Findings and Integrated Pathologic-Genetic Classification

The Cancer Genome Atlas (TCGA) study of endometrioid and serous carcinomas found mutations in several genes (eg, TP53, PTEN, PIK3CA, PPP2R1A, FBXW7, CTNNB1, KRAS, and POLE) and, more importantly, identified 4 major genomically defined classes of tumor (POLE-ultramutated, microsatellite instability–hypermutated [MSI-H], copy-number-low, and copy-number-high). These groups were clinically significant, because they correlated with progression-free survival; patients with POLE-mutated tumors had an excellent prognosis and those with copy-number-high tumors had poor outcomes, whereas the MSI-H and copy-number-low groups had intermediate prognoses.34 Recently, DNA ploidy was shown to differ between TCGA groups and was highest in the p53-aberrant group. Abnormal DNA ploidy was associated with higher grade, nonendometrioid histotype, and poorer survival (particularly in mismatch repair [MMR]–deficient tumors).39 A recent study of endometrial clear cell carcinomas identified similar genomic classes, which were also associated with prognosis.40 Uterine carcinosarcomas also frequently harbor mutations in TP53, PTEN, PIK3CA, PPP2R1A, FBXW7, and KRAS, similar to endometrioid and serous carcinomas.41

It is also apparent that genomic classes of endometrial carcinoma are associated with phenotypes. Copy-number-high tumors, which are characterized by TP53 mutations and alterations associated with cell cycle deregulation, constitute some high-grade endometrioid adenocarcinomas and clear cell carcinomas, and all serous cancers.34,40 Copy-number-low tumors are predominantly low-grade endometrioid adenocarcinomas.34 POLE-mutated endometrial carcinomas are typically characterized by high grade; tumor-infiltrating lymphocytes (TILs) and/or peritumoral lymphocytes; morphologic heterogeneity/ambiguity; and bizarre/giant tumor cell nuclei.42,43 Endometrioid histotype is the most frequent, although POLE mutations have also been reported in clear cell carcinomas,40 undifferentiated carcinomas,44 and carcinosarcomas.45 MSI-H endometrial cancers, which may be associated with germline alterations (Lynch syndrome) or sporadic aberrations, are associated with lower uterine segment location, endometrioid histology, mucinous differentiation, TILs, and peritumoral lymphocytes.4649

Molecular classification of endometrial cancer has been shown to be reproducible and associated with clinical outcomes.3134 However, these algorithms do have some limitations. p53 immunohistochemistry does not correlate perfectly with TP53 copy number changes,39,40 and its use in these algorithms may therefore misclassify some copy-number-high tumors. The algorithms do not address how to categorize tumors harboring more than one classifying genomic aberration (POLE mutations, MMR deficiency, or TP53 mutations) when the algorithmic components are performed in parallel rather than sequentially. The algorithms do not allow for the exploration of the significant heterogeneity seen within the copy-number-low group.50,51 Finally, in the ProMisE (Proactive Molecular Risk Classifier for Endometrial Cancer) algorithm, DNA MMR immunohistochemistry is performed before POLE sequencing, which may result in failure to detect MMR-deficient tumors with POLE mutations, as well as incorrectly classify these tumors as MMR-deficient rather than as POLE-mutated tumors; as a result, our approach differs slightly in performing POLE sequencing before DNA MMR immunohistochemistry (Figure 1).

Despite these limitations, an integrated genomic-pathologic classification scheme incorporating genomic-based classifications with traditional clinicopathologic prognostic parameters (Figure 1) represents the best available method for stratifying patients into prognostically distinct groups that may benefit from tailored treatment approaches.52

Molecular Genetic Findings in Synchronous Endometrial and Ovarian Carcinomas

The staging of patients with synchronous endometrial and ovarian carcinomas traditionally has been

Figure 1.
Figure 1.

Diagnostic algorithm for integrated genomic-pathologic classification of endometrial carcinomas (blue represents histotype; red represents TCGA genomic class).

Abbreviations: MMR, mismatch repair; MSI-H, microsatellite instability–hypermutated; TCGA, The Cancer Genome Atlas.

aMay also apply to clear cell carcinomas.

bThis algorithm does not distinguish between histotypes of TP53-mutated copy-number-high tumors (ie, high-grade endometrioid carcinoma, serous carcinoma, and clear cell carcinoma).

Citation: Journal of the National Comprehensive Cancer Network J Natl Compr Canc Netw 16, 2; 10.6004/jnccn.2017.7066

based on pathologic criteria to determine whether the 2 tumors are independent primaries (each being low-stage disease) or whether 1 is a metastasis from the other (high-stage disease).53,54 Two recent studies using massively parallel sequencing analyses showed that most synchronous endometrial and ovarian carcinomas are clonally related, and therefore, the latter scenario applies.55,56 Nevertheless, many of these patients have excellent clinical outcomes belying their apparently high stage,57 and further studies are required to determine the mechanisms underlying their indolent behavior.

Recently Recognized Types and Variants of Endometrial Carcinoma

There are several recently described phenotypic variants of endometrial carcinoma, which may be associated with specific clinical phenotypes and genotype. A few examples are briefly presented.

Undifferentiated and Dedifferentiated Carcinoma: Undifferentiated and dedifferentiated endometrial carcinomas are uncommon, highly aggressive tumors.38,58 Undifferentiated carcinoma is a monomorphic tumor composed of small- to intermediate-sized cells arranged in sheets without any obvious epithelial differentiation, which mimics lymphoma, plasmacytoma, high-grade endometrial stromal sarcoma, or small cell carcinoma.38,58 Approximately 40% of undifferentiated carcinomas are associated with a component of low-grade endometrioid adenocarcinoma; these cases are termed dedifferentiated carcinomas.37

Most undifferentiated carcinomas display immunohistochemical evidence of epithelial differentiation in the form of intense but focal epithelial membrane antigen and cytokeratin 18 expression, along with vimentin and CD138 expression.59,60 Loss of expression of proteins involved in chromatin remodeling through SWI/SNF (SWItch/Sucrose Non-Fermentable) complexes, such as BRG-1 (the protein product of SMARCA4), INI-1 (protein product of SMARCB1), or BAF250a (protein product of ARID1A), may be seen.61,62 DNA MMR deficiency and loss of expression of MLH1 and PMS2, mostly due to hMLH1 promoter methylation, is seen in 50% to 60% of tumors.63 Genomically, these tumors harbor mutations in POLE, SMARCA4, ARID1B, CTNNB1, PPP2R1A, or TP53.64

Corded and Hyalinized Endometrioid Carcinomas: A subset of endometrioid adenocarcinomas (termed corded and hyalinized endometrioid carcinomas [CHECs]) show unusual morphologic features, including cords of epithelioid cells, spindle cells, and a hyalinized stroma that sometimes form osteoid.65 These tumors present mainly at a low stage and have a good prognosis. Identifying these tumors and distinguishing them from endometrial carcinosarcomas, which are usually seen in older patients and are highly aggressive malignancies, is important.41 Awareness of CHEC allows for the ready morphologic distinction from carcinosarcoma, because the spindle cell component of CHEC lacks conspicuous atypia, in contrast to the high-grade appearance of the sarcomatous component of carcinosarcomas.

Mesonephric-Like Carcinomas: Mesonephric carcinomas have long been recognized in the uterine cervix. Recent studies have identified tumors involving the uterine corpus that show morphologic and immunohistochemical similarities to the cervical tumors. These uterine tumors are termed mesonephric-like carcinomas,66,67 and display a uniform appearance, with tubular, solid and papillary architectural patterns, and are composed of cells with atypical, angulated and overlapping, vesicular nuclei. The tubular structures are small and may contain dense luminal eosinophilic material.66,67 Immunohistochemically, the tumors express thyroid transcription factor 1 (TTF-1), as well as CD10, calretinin, and GATA-binding protein 3 (GATA3), whereas estrogen (ER) and progesterone receptors are negative.67 Mutations in KRAS, NRAS, and chromatin remodeling genes (ARID1A, ARID1B, SMARCA4) have been reported in mesonephric carcinomas.68

Biomarkers for Classification and Prognostic Assessment

Identification of Molecular-Prognostic Subgroups: MSI-H endometrial carcinomas can be effectively identified by assessing morphologic features (described earlier) and DNA MMR deficiencies in histologic material using immunohistochemistry with antibodies directed against MLH1, PMS2, MSH2, and MSH6.69,70 There is a high level of concordance between the results of immunohistochemistry and PCR-based MSI analysis.71 Immunohistochemical expression of p53 (classified as aberrant if absent or diffusely overexpressed) is associated with a poor prognosis in endometrial cancer72,73 and correlates with TP53 mutation status.74 Identification of a POLE mutation in patients with endometrial cancer (based on morphologic features of the tumor and POLE sequencing) may help these patients avoid overtreatment given their excellent prognosis.34 POLE-mutated and MSI-H tumors are also amenable to immunotherapy (as discussed later).

Simplified diagnostic algorithms for the molecular classification of endometrial cancers into TCGA classes were recently proposed.50,75 The ProMisE algorithm involves immunohistochemistry for DNA MMR proteins, sequencing of MMR-proficient tumors for POLE mutations, and immunohistochemistry for p53 in POLE wild-type tumors. This algorithm accurately classifies endometrial cancers as MMR-deficient (MSI-H), POLE-mutated, TP53 wild-type (copy-number-low), or TP53-aberrant (copy-number-high),75 and has potential as a prognostic and risk stratification assay for clinical use.

High-Grade Endometrial Cancers: The copy-number-high group of endometrial carcinomas identified in the TCGA study includes high-grade endometrioid adenocarcinomas and serous carcinomas. The histopathologic and immunohistochemical features of these tumors may overlap considerably, leading to poor interobserver reproducibility in the histotyping of high-grade endometrial carcinomas.22,30 This poor reproducibility doubtless contributes to variability in the reported prognosis of patients with high-grade endometrioid adenocarcinoma compared with those with serous carcinoma.7680

However, a recent study of copy-number-high endometrial carcinomas showed significant differences between high-grade endometrioid adenocarcinomas and serous carcinomas with respect to their stage distributions and sites of recurrence.81 If these differences also correlate with other differences in clinical behavior, it is important to attempt to distinguish high-grade endometrioid adenocarcinomas from serous carcinomas using available biomarkers to supplement histopathologic interpretation. No single marker is absolutely diagnostic of either histotype, and therefore a panel of markers, including at least p53 and p16 with either ER or PTEN is recommended. Tumors that are p16-negative/PTEN-negative and/or ARID1A-negative/p16-negative/p53 wild-type are most likely endometrioid, whereas serous carcinomas are more likely to be p53-aberrant/p16-positive/ER-negative.82 Tumors with discordant findings may be subjected to an expanded immunohistochemical panel that includes DNA MMR proteins (MLH1, PMS2, MSH2, MSH6), and loss of expression of at least one of these would support the diagnosis of endometrioid adenocarcinoma.

CTNNB1-Mutated Endometrial Carcinomas: Patients with low-stage endometrial cancer without high-risk features, as described earlier, generally have excellent outcomes; however, a small proportion of these patients do poorly. A recent study exploring factors associated with poor outcomes in women with low-grade, early-stage endometrial carcinomas found that in patients with endometrioid adenocarcinomas, CTNNB1 mutations were found to be independent predictors of poorer recurrence-free survival.83 In this study, 84% of tumors with CTNNB1 mutations showed nuclear expression of beta catenin (the protein product of CTNNB1) by immunohistochemistry.83

Pathology and Precision Medicine in Endometrial Cancer

Pathologists play an important role in the development and implementation of novel therapies targeting molecular/genomic alterations in endometrial cancer. Roles of pathology in the present era of precision oncology include identification of homogenous subsets of tumors, which are critical to obtain meaningful results from exploratory molecular/genomic studies seeking to identify novel targets; evaluation of molecular biomarker expression and their localization at the tissue level, which can assist in treatment decisions; phenotype-genotype correlations that help identify tumors likely to harbor specific molecular targets or likely to be amenable to specific therapy; and selection of suitable patients, based on their phenotypes and biomarker profiles, for entry into clinical trials of novel therapies.

Identification of Candidates for Immunotherapy: POLE-mutated and MMR-deficient tumors exhibit TILs, high levels of neoantigens, and expression of immune checkpoint regulators, such as programmed death receptor-1 (PD-1)84,85 or its ligand, PD-L1,86 which are thought to promote escape from immune surveillance. Immune checkpoint blockade with the anti-PD1 antibody pembrolizumab has shown responses in patients with POLE-mutated85 and MMR-deficient endometrial cancer,87 and pembrolizumab has been FDA-approved for metastatic cancers exhibiting MMR deficiency. PD-L1 expression can be directly examined in tissues using immunohistochemistry, but the optimal methods and antibodies have yet to be standardized.88

Identification of Candidates for MAPK Pathway Inhibition: KRAS mutations are common in endometrial cancer34 and are associated with mucinous differentiation.89 ERBB2 amplifications are also identified in endometrial serous carcinomas.90 KRAS is not a direct molecular therapeutic target, but the identification of tumors with MAPK pathway activation might be susceptible to therapy directed against other components of the MAPK/ERK pathway, such as members of the epidermal growth factor receptor family.

Conclusions

During the past 2 decades, numerous ex vivo, genomic, translational, pathologic, and clinical studies have significantly expanded the understanding of endometrial cancer. This improved understanding has led to refinements in the approach to the diagnosis and treatment of women with these tumors. As an integral part of any multidisciplinary team, pathology continues to play an important role in diagnosis and prognostic assessment, risk stratification and therapeutic decision-making, and the development and implementation of novel therapeutic agents and strategies for women with these cancers.

The authors have disclosed that they have no financial interests, arrangements, affiliations, or commercial interests with the manufacturers of any products discussed in this article or their competitors.

This work was funded in part through the NIH/NCI Cancer Center Support Grant P30 CA008748.

References

  • 1.

    Siegel RL, Miller KD, Jemal A. Cancer Statistics, 2017. CA Cancer J Clin 2017;67:730.

  • 2.

    Dijkhuizen FP, Mol BW, Brolmann HA, Heintz AP. The accuracy of endometrial sampling in the diagnosis of patients with endometrial carcinoma and hyperplasia: a meta-analysis. Cancer 2000;89:17651772.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 3.

    SGO Clinical Practice Endometrial Cancer Working Group Burke WM, Orr J et al.. Endometrial cancer: a review and current management strategies: part I. Gynecol Oncol 2014;134:385392.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 4.

    Boronow RC. Surgical staging of endometrial cancer: evolution, evaluation, and responsible challenge—a personal perspective. Gynecol Oncol 1997;66:179189.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 5.

    Abu-Rustum NR, Zhou Q, Gomez JD et al.. A nomogram for predicting overall survival of women with endometrial cancer following primary therapy: toward improving individualized cancer care. Gynecol Oncol 2010;116:399403.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 6.

    Bendifallah S, Canlorbe G, Raimond E et al.. A clue towards improving the European Society of Medical Oncology risk group classification in apparent early stage endometrial cancer? Impact of lymphovascular space invasion. Br J Cancer 2014;110:26402646.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 7.

    Kong TW, Chang SJ, Paek J et al.. Risk group criteria for tailoring adjuvant treatment in patients with endometrial cancer: a validation study of the Gynecologic Oncology Group criteria. J Gynecol Oncol 2015;26:3239.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 8.

    Creasman WT, Morrow CP, Bundy BN et al.. Surgical pathologic spread patterns of endometrial cancer. A Gynecologic Oncology Group study. Cancer 1987;60(8 Suppl):20352041.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 9.

    Keys HM, Roberts JA, Brunetto VL et al.. A phase III trial of surgery with or without adjunctive external pelvic radiation therapy in intermediate risk endometrial adenocarcinoma: a Gynecologic Oncology Group study. Gynecol Oncol 2004;92:744751.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 10.

    Endometrial Cancer Nomogram. Memorial Sloan Kettering Cancer Center Web site. Available at: https://www.mskcc.org/nomograms/endometrial. Accessed October 1, 2017.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 11.

    Barlin JN, Soslow RA, Lutz M et al.. Redefining stage I endometrial cancer: incorporating histology, a binary grading system, myometrial invasion, and lymph node assessment. Int J Gynecol Cancer 2013;23:16201628.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 12.

    Abu-Rustum NR, Gomez JD, Alektiar KM et al.. The incidence of isolated paraaortic nodal metastasis in surgically staged endometrial cancer patients with negative pelvic lymph nodes. Gynecol Oncol 2009;115:236238.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 13.

    Mariani A, Dowdy SC, Cliby WA et al.. Prospective assessment of lymphatic dissemination in endometrial cancer: a paradigm shift in surgical staging. Gynecol Oncol 2008;109:1118.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 14.

    Barlin JN, Zhou Q, St Clair CM et al.. Classification and regression tree (CART) analysis of endometrial carcinoma: seeing the forest for the trees. Gynecol Oncol 2013;130:452456.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 15.

    Abu-Rustum NR, Alektiar K, Iasonos A et al.. The incidence of symptomatic lower-extremity lymphedema following treatment of uterine corpus malignancies: a 12-year experience at Memorial Sloan-Kettering Cancer Center. Gynecol Oncol 2006;103:714718.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 16.

    Yost KJ, Cheville AL, Al-Hilli MM et al.. Lymphedema after surgery for endometrial cancer: prevalence, risk factors, and quality of life. Obstet Gynecol 2014;124(2 Pt 1):307315.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 17.

    Koh WJ, Abu-Rustum NR, Bean S et al.. NCCN Clinical Practice Guidelines in Oncology: Uterine Neoplasms. Version 1.2018. Accessed January 2, 2018. To view the most recent version of these guidelines, visit NCCN.org.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 18.

    Khoury-Collado F, St Clair C, Abu-Rustum NR. Sentinel lymph node mapping in endometrial cancer: an update. Oncologist 2016;21:461466.

  • 19.

    Kim CH, Soslow RA, Park KJ et al.. Pathologic ultrastaging improves micrometastasis detection in sentinel lymph nodes during endometrial cancer staging. Int J Gynecol Cancer 2013;23:964970.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 20.

    Ballester M, Dubernard G, Lecuru F et al.. Detection rate and diagnostic accuracy of sentinel-node biopsy in early stage endometrial cancer: a prospective multicentre study (SENTI-ENDO). Lancet Oncol 2011;12:469476.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 21.

    Soslow RA. Endometrial carcinomas with ambiguous features. Semin Diagn Pathol 2010;27:261273.

  • 22.

    Gilks CB, Oliva E, Soslow RA. Poor interobserver reproducibility in the diagnosis of high-grade endometrial carcinoma. Am J Surg Pathol 2013;37:874881.

  • 23.

    Creutzberg CL, van Putten WL, Koper PC et al.. Surgery and postoperative radiotherapy versus surgery alone for patients with stage-1 endometrial carcinoma: multicentre randomised trial. PORTEC Study Group. Post Operative Radiation Therapy in Endometrial Carcinoma. Lancet 2000;355:14041411.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 24.

    Kwon JS, Qiu F, Saskin R, Carey MS. Are uterine risk factors more important than nodal status in predicting survival in endometrial cancer? Obstet Gynecol 2009;114:736743.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 25.

    Colombo N, Preti E, Landoni F et al.. Endometrial cancer: ESMO clinical practice guidelines for diagnosis, treatment and follow-up. Ann Oncol 2013;24(Suppl 6):vi3338.

  • 26.

    AlHilli MM, Mariani A, Bakkum-Gamez JN et al.. Risk-scoring models for individualized prediction of overall survival in low-grade and high-grade endometrial cancer. Gynecol Oncol 2014;133:485493.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 27.

    Bendifallah S, Canlorbe G, Collinet P et al.. Just how accurate are the major risk stratification systems for early-stage endometrial cancer? Br J Cancer 2015;112:793801.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 28.

    Guan H, Semaan A, Bandyopadhyay S et al.. Prognosis and reproducibility of new and existing binary grading systems for endometrial carcinoma compared to FIGO grading in hysterectomy specimens. Int J Gynecol Cancer 2011;21:654660.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 29.

    Han G, Sidhu D, Duggan MA et al.. Reproducibility of histological cell type in high-grade endometrial carcinoma. Mod Pathol 2013;26:15941604.

  • 30.

    Hoang LN, McConechy MK, Kobel M et al.. Histotype-genotype correlation in 36 high-grade endometrial carcinomas. Am J Surg Pathol 2013;37:14211432.

  • 31.

    Salvesen HB, Carter SL, Mannelqvist M et al.. Integrated genomic profiling of endometrial carcinoma associates aggressive tumors with indicators of PI3 kinase activation. Proc Natl Acad Sci U S A 2009;106:48344839.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 32.

    Le Gallo M, O'Hara AJ, Rudd ML et al.. Exome sequencing of serous endometrial tumors identifies recurrent somatic mutations in chromatin-remodeling and ubiquitin ligase complex genes. Nat Genet 2012;44:13101315.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 33.

    McConechy MK, Ding J, Cheang MC et al.. Use of mutation profiles to refine the classification of endometrial carcinomas. J Pathol 2012;228:2030.

  • 34.

    Kandoth C, Schultz N, Cherniack AD et al.. Integrated genomic characterization of endometrial carcinoma. Nature 2013;497:6773.

  • 35.

    Mitchard J, Hirschowitz L. Concordance of FIGO grade of endometrial adenocarcinomas in biopsy and hysterectomy specimens. Histopathology 2003;42:372378.

  • 36.

    Leitao MM Jr, Kehoe S, Barakat RR et al.. Comparison of D&C and office endometrial biopsy accuracy in patients with FIGO grade 1 endometrial adenocarcinoma. Gynecol Oncol 2009;113:105108.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 37.

    Giordano G, D'Adda T, Bottarelli L et al.. Two cases of low-grade endometriod carcinoma associated with undifferentiated carcinoma of the uterus (dedifferentiated carcinoma): a molecular study. Pathol Oncol Res 2012;18:523528.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 38.

    Tafe LJ, Garg K, Chew I et al.. Endometrial and ovarian carcinomas with undifferentiated components: clinically aggressive and frequently underrecognized neoplasms. Mod Pathol 2010;23:781789.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 39.

    Proctor L, Pradhan M, Leung S et al.. Assessment of DNA ploidy in the ProMisE molecular subgroups of endometrial cancer. Gynecol Oncol 2017;146:596602.

  • 40.

    DeLair DF, Burke KA, Selenica P et al.. The genetic landscape of endometrial clear cell carcinomas. J Pathol 2017;243:230241.

  • 41.

    Cherniack AD, Shen H, Walter V et al.. Integrated molecular characterization of uterine carcinosarcoma. Cancer Cell 2017;31:411423.

  • 42.

    Hussein YR, Weigelt B, Levine DA et al.. Clinicopathological analysis of endometrial carcinomas harboring somatic POLE exonuclease domain mutations. Mod Pathol 2015;28:505514.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 43.

    Bakhsh S, Kinloch M, Hoang LN et al.. Histopathological features of endometrial carcinomas associated with POLE mutations: implications for decisions about adjuvant therapy. Histopathology 2016;68:916924.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 44.

    Kobel M, Hoang LN, Tessier-Cloutier B et al.. Undifferentiated endometrial carcinomas show frequent loss of core switch/sucrose nonfermentable complex proteins. Am J Surg Pathol 2017;42:7683.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 45.

    Hoang LN, Kinloch MA, Leo JM et al.. Interobserver agreement in endometrial carcinoma histotype diagnosis varies depending on The Cancer Genome Atlas (TCGA)-based molecular subgroup. Am J Surg Pathol 2017;41:245252.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 46.

    Broaddus RR, Lynch HT, Chen LM et al.. Pathologic features of endometrial carcinoma associated with HNPCC: a comparison with sporadic endometrial carcinoma. Cancer 2006;106:8794.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 47.

    Shia J, Black D, Hummer AJ et al.. Routinely assessed morphological features correlate with microsatellite instability status in endometrial cancer. Hum Pathol 2008;39:116125.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 48.

    Rabban JT, Calkins SM, Karnezis AN et al.. Association of tumor morphology with mismatch-repair protein status in older endometrial cancer patients: implications for universal versus selective screening strategies for Lynch syndrome. Am J Surg Pathol 2014;38:793800.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 49.

    Sloan EA, Moskaluk CA, Mills AM. Mucinous differentiation with tumor infiltrating lymphocytes is a feature of sporadically methylated endometrial carcinomas. Int J Gynecol Pathol 2017;36:205216.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 50.

    Stelloo E, Nout RA, Osse EM et al.. Improved risk assessment by integrating molecular and clinicopathological factors in early-stage endometrial cancer-combined analysis of the PORTEC cohorts. Clin Cancer Res 2016;22:42154224.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 51.

    Cancer Genome Atlas Research Network Kandoth C, Schultz N et al.. Integrated genomic characterization of endometrial carcinoma. Nature 2013;497:6773.

  • 52.

    Murali R, Soslow RA, Weigelt B. Classification of endometrial carcinoma: more than two types. Lancet Oncol 2014;15:e268278.

  • 53.

    Ulbright TM, Roth LM. Metastatic and independent cancers of the endometrium and ovary: a clinicopathologic study of 34 cases. Hum Pathol 1985;16:2834.

  • 54.

    Nishimura N, Hachisuga T, Yokoyama M et al.. Clinicopathologic analysis of the prognostic factors in women with coexistence of endometrioid adenocarcinoma in the endometrium and ovary. J Obstet Gynaecol Res 2005;31:120126.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 55.

    Schultheis AM, Ng CK, De Filippo MR et al.. Massively parallel sequencing-based clonality analysis of synchronous endometrioid endometrial and ovarian carcinomas. J Natl Cancer Inst 2016;108:djv427.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 56.

    Anglesio MS, Wang YK, Maassen M et al.. Synchronous endometrial and ovarian carcinomas: evidence of clonality. J Natl Cancer Inst 2016;108:djv428.

  • 57.

    Williams MG, Bandera EV, Demissie K, Rodriguez-Rodriguez L. Synchronous primary ovarian and endometrial cancers: a population-based assessment of survival. Obstet Gynecol 2009;113:783789.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 58.

    Altrabulsi B, Malpica A, Deavers MT et al.. Undifferentiated carcinoma of the endometrium. Am J Surg Pathol 2005;29:13161321.

  • 59.

    Li Z, Zhao C. Clinicopathologic and immunohistochemical characterization of dedifferentiated endometrioid adenocarcinoma. Appl Immunohistochem Mol Morphol 2016;24:562568.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 60.

    Ramalingam P, Masand RP, Euscher ED, Malpica A. Undifferentiated carcinoma of the endometrium: an expanded immunohistochemical analysis including PAX-8 and basal-like carcinoma surrogate markers. Int J Gynecol Pathol 2016;35:410418.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 61.

    Stewart CJ, Crook ML. SWI/SNF complex deficiency and mismatch repair protein expression in undifferentiated and dedifferentiated endometrial carcinoma. Pathology 2015;47:439445.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 62.

    Strehl JD, Wachter DL, Fiedler J et al.. Pattern of SMARCB1 (INI1) and SMARCA4 (BRG1) in poorly differentiated endometrioid adenocarcinoma of the uterus: analysis of a series with emphasis on a novel SMARCA4-deficient dedifferentiated rhabdoid variant. Ann Diagn Pathol 2015;19:198202.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 63.

    Garg K, Leitao MM Jr, Kauff ND et al.. Selection of endometrial carcinomas for DNA mismatch repair protein immunohistochemistry using patient age and tumor morphology enhances detection of mismatch repair abnormalities. Am J Surg Pathol 2009;33:925933.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 64.

    Kuhn E, Ayhan A, Bahadirli-Talbott A et al.. Molecular characterization of undifferentiated carcinoma associated with endometrioid carcinoma. Am J Surg Pathol 2014;38:660665.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 65.

    Murray SK, Clement PB, Young RH. Endometrioid carcinomas of the uterine corpus with sex cord-like formations, hyalinization, and other unusual morphologic features: a report of 31 cases of a neoplasm that may be confused with carcinosarcoma and other uterine neoplasms. Am J Surg Pathol 2005;29:157166.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 66.

    Kenny SL, McBride HA, Jamison J, McCluggage WG. Mesonephric adenocarcinomas of the uterine cervix and corpus: HPV-negative neoplasms that are commonly PAX8, CA125, and HMGA2 positive and that may be immunoreactive with TTF1 and hepatocyte nuclear factor 1-beta. Am J Surg Pathol 2012;36:799807.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 67.

    McFarland M, Quick CM, McCluggage WG. Hormone receptor-negative, thyroid transcription factor 1-positive uterine and ovarian adenocarcinomas: report of a series of mesonephric-like adenocarcinomas. Histopathology 2016;68:10131020.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 68.

    Mirkovic J, Sholl LM, Garcia E et al.. Targeted genomic profiling reveals recurrent KRAS mutations and gain of chromosome 1q in mesonephric carcinomas of the female genital tract. Mod Pathol 2015;28:15041514.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 69.

    de Leeuw WJ, Dierssen J, Vasen HF et al.. Prediction of a mismatch repair gene defect by microsatellite instability and immunohistochemical analysis in endometrial tumours from HNPCC patients. J Pathol 2000;192:328335.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 70.

    Peterson LM, Kipp BR, Halling KC et al.. Molecular characterization of endometrial cancer: a correlative study assessing microsatellite instability, MLH1 hypermethylation, DNA mismatch repair protein expression, and PTEN, PIK3CA, KRAS, and BRAF mutation analysis. Int J Gynecol Pathol 2012;31:195205.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 71.

    McConechy MK, Talhouk A, Li-Chang HH et al.. Detection of DNA mismatch repair (MMR) deficiencies by immunohistochemistry can effectively diagnose the microsatellite instability (MSI) phenotype in endometrial carcinomas. Gynecol Oncol 2015;137:306310.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 72.

    Alkushi A, Lim P, Coldman A et al.. Interpretation of p53 immunoreactivity in endometrial carcinoma: establishing a clinically relevant cut-off level. Int J Gynecol Pathol 2004;23:129137.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 73.

    Talhouk A, McConechy MK, Leung S et al.. A clinically applicable molecular-based classification for endometrial cancers. Br J Cancer 2015;113:299310.

  • 74.

    Lax SF, Kendall B, Tashiro H et al.. The frequency of p53, K-ras mutations, and microsatellite instability differs in uterine endometrioid and serous carcinoma: evidence of distinct molecular genetic pathways. Cancer 2000;88:814824.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 75.

    Talhouk A, Hoang LN, McConechy MK et al.. Molecular classification of endometrial carcinoma on diagnostic specimens is highly concordant with final hysterectomy: earlier prognostic information to guide treatment. Gynecol Oncol 2016;143:4653.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 76.

    Altman AD, Ferguson SE, Atenafu EG et al.. Canadian High Risk Endometrial Cancer (CHREC) consortium: analyzing the clinical behavior of high risk endometrial cancers. Gynecol Oncol 2015;139:268274.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 77.

    Alkushi A, Kobel M, Kalloger SE, Gilks CB. High-grade endometrial carcinoma: serous and grade 3 endometrioid carcinomas have different immunophenotypes and outcomes. Int J Gynecol Pathol 2010;29:343350.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 78.

    Voss MA, Ganesan R, Ludeman L et al.. Should grade 3 endometrioid endometrial carcinoma be considered a type 2 cancer—a clinical and pathological evaluation. Gynecol Oncol 2012;124:1520.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 79.

    Soslow RA, Bissonnette JP, Wilton A et al.. Clinicopathologic analysis of 187 high-grade endometrial carcinomas of different histologic subtypes: similar outcomes belie distinctive biologic differences. Am J Surg Pathol 2007;31:979987.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 80.

    Ayeni TA, Bakkum-Gamez JN, Mariani A et al.. Comparative outcomes assessment of uterine grade 3 endometrioid, serous, and clear cell carcinomas. Gynecol Oncol 2013;129:478485.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 81.

    Bosse T, Nout RA, McAlpine JN et al.. Molecular classification of grade 3 endometrioid endometrial cancers identifies distinct prognostic subgroups. Am J Surg Pathol, in press.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 82.

    Chen W, Husain A, Nelson GS et al.. Immunohistochemical profiling of endometrial serous carcinoma. Int J Gynecol Pathol 2017;36:128139.

  • 83.

    Kurnit KC, Kim GN, Fellman BM et al.. CTNNB1 (beta-catenin) mutation identifies low grade, early stage endometrial cancer patients at increased risk of recurrence. Mod Pathol 2017;30:10321041.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 84.

    Howitt BE, Shukla SA, Sholl LM et al.. Association of polymerase e-mutated and microsatellite-instable endometrial cancers with neoantigen load, number of tumor-infiltrating lymphocytes, and expression of PD-1 and PD-L1. JAMA Oncol 2015;1:13191323.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 85.

    Mehnert JM, Panda A, Zhong H et al.. Immune activation and response to pembrolizumab in POLE-mutant endometrial cancer. J Clin Invest 2016;126:23342340.

  • 86.

    Gatalica Z, Snyder C, Maney T et al.. Programmed cell death 1 (PD-1) and its ligand (PD-L1) in common cancers and their correlation with molecular cancer type. Cancer Epidemiol Biomarkers Prev 2014;23:29652970.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 87.

    Le DT, Durham JN, Smith KN et al.. Mismatch repair deficiency predicts response of solid tumors to PD-1 blockade. Science 2017;357:409413.

  • 88.

    Sholl LM, Aisner DL, Allen TC et al.. Programmed death ligand-1 immunohistochemistry—a new challenge for pathologists: a perspective from members of the Pulmonary Pathology Society. Arch Pathol Lab Med 2016;140:341344.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 89.

    Xiong J, He M, Jackson C et al.. Endometrial carcinomas with significant mucinous differentiation associated with higher frequency of k-ras mutations: a morphologic and molecular correlation study. Int J Gynecol Cancer 2013;23:12311236.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 90.

    Buza N, Hui P. Marked heterogeneity of HER2/NEU gene amplification in endometrial serous carcinoma. Genes Chromosomes Cancer 2013;52:11781186.

Correspondence: Nadeem R. Abu-Rustum, MD, Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065. E-mail: abu-rusn@mskcc.org
  • Collapse
  • Expand
  • Diagnostic algorithm for integrated genomic-pathologic classification of endometrial carcinomas (blue represents histotype; red represents TCGA genomic class).

    Abbreviations: MMR, mismatch repair; MSI-H, microsatellite instability–hypermutated; TCGA, The Cancer Genome Atlas.

    aMay also apply to clear cell carcinomas.

    bThis algorithm does not distinguish between histotypes of TP53-mutated copy-number-high tumors (ie, high-grade endometrioid carcinoma, serous carcinoma, and clear cell carcinoma).

  • 1.

    Siegel RL, Miller KD, Jemal A. Cancer Statistics, 2017. CA Cancer J Clin 2017;67:730.

  • 2.

    Dijkhuizen FP, Mol BW, Brolmann HA, Heintz AP. The accuracy of endometrial sampling in the diagnosis of patients with endometrial carcinoma and hyperplasia: a meta-analysis. Cancer 2000;89:17651772.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 3.

    SGO Clinical Practice Endometrial Cancer Working Group Burke WM, Orr J et al.. Endometrial cancer: a review and current management strategies: part I. Gynecol Oncol 2014;134:385392.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 4.

    Boronow RC. Surgical staging of endometrial cancer: evolution, evaluation, and responsible challenge—a personal perspective. Gynecol Oncol 1997;66:179189.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 5.

    Abu-Rustum NR, Zhou Q, Gomez JD et al.. A nomogram for predicting overall survival of women with endometrial cancer following primary therapy: toward improving individualized cancer care. Gynecol Oncol 2010;116:399403.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 6.

    Bendifallah S, Canlorbe G, Raimond E et al.. A clue towards improving the European Society of Medical Oncology risk group classification in apparent early stage endometrial cancer? Impact of lymphovascular space invasion. Br J Cancer 2014;110:26402646.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 7.

    Kong TW, Chang SJ, Paek J et al.. Risk group criteria for tailoring adjuvant treatment in patients with endometrial cancer: a validation study of the Gynecologic Oncology Group criteria. J Gynecol Oncol 2015;26:3239.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 8.

    Creasman WT, Morrow CP, Bundy BN et al.. Surgical pathologic spread patterns of endometrial cancer. A Gynecologic Oncology Group study. Cancer 1987;60(8 Suppl):20352041.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 9.

    Keys HM, Roberts JA, Brunetto VL et al.. A phase III trial of surgery with or without adjunctive external pelvic radiation therapy in intermediate risk endometrial adenocarcinoma: a Gynecologic Oncology Group study. Gynecol Oncol 2004;92:744751.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 10.

    Endometrial Cancer Nomogram. Memorial Sloan Kettering Cancer Center Web site. Available at: https://www.mskcc.org/nomograms/endometrial. Accessed October 1, 2017.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 11.

    Barlin JN, Soslow RA, Lutz M et al.. Redefining stage I endometrial cancer: incorporating histology, a binary grading system, myometrial invasion, and lymph node assessment. Int J Gynecol Cancer 2013;23:16201628.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 12.

    Abu-Rustum NR, Gomez JD, Alektiar KM et al.. The incidence of isolated paraaortic nodal metastasis in surgically staged endometrial cancer patients with negative pelvic lymph nodes. Gynecol Oncol 2009;115:236238.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 13.

    Mariani A, Dowdy SC, Cliby WA et al.. Prospective assessment of lymphatic dissemination in endometrial cancer: a paradigm shift in surgical staging. Gynecol Oncol 2008;109:1118.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 14.

    Barlin JN, Zhou Q, St Clair CM et al.. Classification and regression tree (CART) analysis of endometrial carcinoma: seeing the forest for the trees. Gynecol Oncol 2013;130:452456.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 15.

    Abu-Rustum NR, Alektiar K, Iasonos A et al.. The incidence of symptomatic lower-extremity lymphedema following treatment of uterine corpus malignancies: a 12-year experience at Memorial Sloan-Kettering Cancer Center. Gynecol Oncol 2006;103:714718.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 16.

    Yost KJ, Cheville AL, Al-Hilli MM et al.. Lymphedema after surgery for endometrial cancer: prevalence, risk factors, and quality of life. Obstet Gynecol 2014;124(2 Pt 1):307315.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 17.

    Koh WJ, Abu-Rustum NR, Bean S et al.. NCCN Clinical Practice Guidelines in Oncology: Uterine Neoplasms. Version 1.2018. Accessed January 2, 2018. To view the most recent version of these guidelines, visit NCCN.org.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 18.

    Khoury-Collado F, St Clair C, Abu-Rustum NR. Sentinel lymph node mapping in endometrial cancer: an update. Oncologist 2016;21:461466.

  • 19.

    Kim CH, Soslow RA, Park KJ et al.. Pathologic ultrastaging improves micrometastasis detection in sentinel lymph nodes during endometrial cancer staging. Int J Gynecol Cancer 2013;23:964970.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 20.

    Ballester M, Dubernard G, Lecuru F et al.. Detection rate and diagnostic accuracy of sentinel-node biopsy in early stage endometrial cancer: a prospective multicentre study (SENTI-ENDO). Lancet Oncol 2011;12:469476.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 21.

    Soslow RA. Endometrial carcinomas with ambiguous features. Semin Diagn Pathol 2010;27:261273.

  • 22.

    Gilks CB, Oliva E, Soslow RA. Poor interobserver reproducibility in the diagnosis of high-grade endometrial carcinoma. Am J Surg Pathol 2013;37:874881.

  • 23.

    Creutzberg CL, van Putten WL, Koper PC et al.. Surgery and postoperative radiotherapy versus surgery alone for patients with stage-1 endometrial carcinoma: multicentre randomised trial. PORTEC Study Group. Post Operative Radiation Therapy in Endometrial Carcinoma. Lancet 2000;355:14041411.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 24.

    Kwon JS, Qiu F, Saskin R, Carey MS. Are uterine risk factors more important than nodal status in predicting survival in endometrial cancer? Obstet Gynecol 2009;114:736743.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 25.

    Colombo N, Preti E, Landoni F et al.. Endometrial cancer: ESMO clinical practice guidelines for diagnosis, treatment and follow-up. Ann Oncol 2013;24(Suppl 6):vi3338.

  • 26.

    AlHilli MM, Mariani A, Bakkum-Gamez JN et al.. Risk-scoring models for individualized prediction of overall survival in low-grade and high-grade endometrial cancer. Gynecol Oncol 2014;133:485493.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 27.

    Bendifallah S, Canlorbe G, Collinet P et al.. Just how accurate are the major risk stratification systems for early-stage endometrial cancer? Br J Cancer 2015;112:793801.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 28.

    Guan H, Semaan A, Bandyopadhyay S et al.. Prognosis and reproducibility of new and existing binary grading systems for endometrial carcinoma compared to FIGO grading in hysterectomy specimens. Int J Gynecol Cancer 2011;21:654660.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 29.

    Han G, Sidhu D, Duggan MA et al.. Reproducibility of histological cell type in high-grade endometrial carcinoma. Mod Pathol 2013;26:15941604.

  • 30.

    Hoang LN, McConechy MK, Kobel M et al.. Histotype-genotype correlation in 36 high-grade endometrial carcinomas. Am J Surg Pathol 2013;37:14211432.

  • 31.

    Salvesen HB, Carter SL, Mannelqvist M et al.. Integrated genomic profiling of endometrial carcinoma associates aggressive tumors with indicators of PI3 kinase activation. Proc Natl Acad Sci U S A 2009;106:48344839.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 32.

    Le Gallo M, O'Hara AJ, Rudd ML et al.. Exome sequencing of serous endometrial tumors identifies recurrent somatic mutations in chromatin-remodeling and ubiquitin ligase complex genes. Nat Genet 2012;44:13101315.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 33.

    McConechy MK, Ding J, Cheang MC et al.. Use of mutation profiles to refine the classification of endometrial carcinomas. J Pathol 2012;228:2030.

  • 34.

    Kandoth C, Schultz N, Cherniack AD et al.. Integrated genomic characterization of endometrial carcinoma. Nature 2013;497:6773.

  • 35.

    Mitchard J, Hirschowitz L. Concordance of FIGO grade of endometrial adenocarcinomas in biopsy and hysterectomy specimens. Histopathology 2003;42:372378.

  • 36.

    Leitao MM Jr, Kehoe S, Barakat RR et al.. Comparison of D&C and office endometrial biopsy accuracy in patients with FIGO grade 1 endometrial adenocarcinoma. Gynecol Oncol 2009;113:105108.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 37.

    Giordano G, D'Adda T, Bottarelli L et al.. Two cases of low-grade endometriod carcinoma associated with undifferentiated carcinoma of the uterus (dedifferentiated carcinoma): a molecular study. Pathol Oncol Res 2012;18:523528.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 38.

    Tafe LJ, Garg K, Chew I et al.. Endometrial and ovarian carcinomas with undifferentiated components: clinically aggressive and frequently underrecognized neoplasms. Mod Pathol 2010;23:781789.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 39.

    Proctor L, Pradhan M, Leung S et al.. Assessment of DNA ploidy in the ProMisE molecular subgroups of endometrial cancer. Gynecol Oncol 2017;146:596602.

  • 40.

    DeLair DF, Burke KA, Selenica P et al.. The genetic landscape of endometrial clear cell carcinomas. J Pathol 2017;243:230241.

  • 41.

    Cherniack AD, Shen H, Walter V et al.. Integrated molecular characterization of uterine carcinosarcoma. Cancer Cell 2017;31:411423.

  • 42.

    Hussein YR, Weigelt B, Levine DA et al.. Clinicopathological analysis of endometrial carcinomas harboring somatic POLE exonuclease domain mutations. Mod Pathol 2015;28:505514.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 43.

    Bakhsh S, Kinloch M, Hoang LN et al.. Histopathological features of endometrial carcinomas associated with POLE mutations: implications for decisions about adjuvant therapy. Histopathology 2016;68:916924.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 44.

    Kobel M, Hoang LN, Tessier-Cloutier B et al.. Undifferentiated endometrial carcinomas show frequent loss of core switch/sucrose nonfermentable complex proteins. Am J Surg Pathol 2017;42:7683.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 45.

    Hoang LN, Kinloch MA, Leo JM et al.. Interobserver agreement in endometrial carcinoma histotype diagnosis varies depending on The Cancer Genome Atlas (TCGA)-based molecular subgroup. Am J Surg Pathol 2017;41:245252.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 46.

    Broaddus RR, Lynch HT, Chen LM et al.. Pathologic features of endometrial carcinoma associated with HNPCC: a comparison with sporadic endometrial carcinoma. Cancer 2006;106:8794.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 47.

    Shia J, Black D, Hummer AJ et al.. Routinely assessed morphological features correlate with microsatellite instability status in endometrial cancer. Hum Pathol 2008;39:116125.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 48.

    Rabban JT, Calkins SM, Karnezis AN et al.. Association of tumor morphology with mismatch-repair protein status in older endometrial cancer patients: implications for universal versus selective screening strategies for Lynch syndrome. Am J Surg Pathol 2014;38:793800.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 49.

    Sloan EA, Moskaluk CA, Mills AM. Mucinous differentiation with tumor infiltrating lymphocytes is a feature of sporadically methylated endometrial carcinomas. Int J Gynecol Pathol 2017;36:205216.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 50.

    Stelloo E, Nout RA, Osse EM et al.. Improved risk assessment by integrating molecular and clinicopathological factors in early-stage endometrial cancer-combined analysis of the PORTEC cohorts. Clin Cancer Res 2016;22:42154224.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 51.

    Cancer Genome Atlas Research Network Kandoth C, Schultz N et al.. Integrated genomic characterization of endometrial carcinoma. Nature 2013;497:6773.

  • 52.

    Murali R, Soslow RA, Weigelt B. Classification of endometrial carcinoma: more than two types. Lancet Oncol 2014;15:e268278.

  • 53.

    Ulbright TM, Roth LM. Metastatic and independent cancers of the endometrium and ovary: a clinicopathologic study of 34 cases. Hum Pathol 1985;16:2834.

  • 54.

    Nishimura N, Hachisuga T, Yokoyama M et al.. Clinicopathologic analysis of the prognostic factors in women with coexistence of endometrioid adenocarcinoma in the endometrium and ovary. J Obstet Gynaecol Res 2005;31:120126.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 55.

    Schultheis AM, Ng CK, De Filippo MR et al.. Massively parallel sequencing-based clonality analysis of synchronous endometrioid endometrial and ovarian carcinomas. J Natl Cancer Inst 2016;108:djv427.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 56.

    Anglesio MS, Wang YK, Maassen M et al.. Synchronous endometrial and ovarian carcinomas: evidence of clonality. J Natl Cancer Inst 2016;108:djv428.

  • 57.

    Williams MG, Bandera EV, Demissie K, Rodriguez-Rodriguez L. Synchronous primary ovarian and endometrial cancers: a population-based assessment of survival. Obstet Gynecol 2009;113:783789.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 58.

    Altrabulsi B, Malpica A, Deavers MT et al.. Undifferentiated carcinoma of the endometrium. Am J Surg Pathol 2005;29:13161321.

  • 59.

    Li Z, Zhao C. Clinicopathologic and immunohistochemical characterization of dedifferentiated endometrioid adenocarcinoma. Appl Immunohistochem Mol Morphol 2016;24:562568.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 60.

    Ramalingam P, Masand RP, Euscher ED, Malpica A. Undifferentiated carcinoma of the endometrium: an expanded immunohistochemical analysis including PAX-8 and basal-like carcinoma surrogate markers. Int J Gynecol Pathol 2016;35:410418.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 61.

    Stewart CJ, Crook ML. SWI/SNF complex deficiency and mismatch repair protein expression in undifferentiated and dedifferentiated endometrial carcinoma. Pathology 2015;47:439445.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 62.

    Strehl JD, Wachter DL, Fiedler J et al.. Pattern of SMARCB1 (INI1) and SMARCA4 (BRG1) in poorly differentiated endometrioid adenocarcinoma of the uterus: analysis of a series with emphasis on a novel SMARCA4-deficient dedifferentiated rhabdoid variant. Ann Diagn Pathol 2015;19:198202.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 63.

    Garg K, Leitao MM Jr, Kauff ND et al.. Selection of endometrial carcinomas for DNA mismatch repair protein immunohistochemistry using patient age and tumor morphology enhances detection of mismatch repair abnormalities. Am J Surg Pathol 2009;33:925933.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 64.

    Kuhn E, Ayhan A, Bahadirli-Talbott A et al.. Molecular characterization of undifferentiated carcinoma associated with endometrioid carcinoma. Am J Surg Pathol 2014;38:660665.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 65.

    Murray SK, Clement PB, Young RH. Endometrioid carcinomas of the uterine corpus with sex cord-like formations, hyalinization, and other unusual morphologic features: a report of 31 cases of a neoplasm that may be confused with carcinosarcoma and other uterine neoplasms. Am J Surg Pathol 2005;29:157166.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 66.

    Kenny SL, McBride HA, Jamison J, McCluggage WG. Mesonephric adenocarcinomas of the uterine cervix and corpus: HPV-negative neoplasms that are commonly PAX8, CA125, and HMGA2 positive and that may be immunoreactive with TTF1 and hepatocyte nuclear factor 1-beta. Am J Surg Pathol 2012;36:799807.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 67.

    McFarland M, Quick CM, McCluggage WG. Hormone receptor-negative, thyroid transcription factor 1-positive uterine and ovarian adenocarcinomas: report of a series of mesonephric-like adenocarcinomas. Histopathology 2016;68:10131020.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 68.

    Mirkovic J, Sholl LM, Garcia E et al.. Targeted genomic profiling reveals recurrent KRAS mutations and gain of chromosome 1q in mesonephric carcinomas of the female genital tract. Mod Pathol 2015;28:15041514.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 69.

    de Leeuw WJ, Dierssen J, Vasen HF et al.. Prediction of a mismatch repair gene defect by microsatellite instability and immunohistochemical analysis in endometrial tumours from HNPCC patients. J Pathol 2000;192:328335.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 70.

    Peterson LM, Kipp BR, Halling KC et al.. Molecular characterization of endometrial cancer: a correlative study assessing microsatellite instability, MLH1 hypermethylation, DNA mismatch repair protein expression, and PTEN, PIK3CA, KRAS, and BRAF mutation analysis. Int J Gynecol Pathol 2012;31:195205.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 71.

    McConechy MK, Talhouk A, Li-Chang HH et al.. Detection of DNA mismatch repair (MMR) deficiencies by immunohistochemistry can effectively diagnose the microsatellite instability (MSI) phenotype in endometrial carcinomas. Gynecol Oncol 2015;137:306310.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 72.

    Alkushi A, Lim P, Coldman A et al.. Interpretation of p53 immunoreactivity in endometrial carcinoma: establishing a clinically relevant cut-off level. Int J Gynecol Pathol 2004;23:129137.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 73.

    Talhouk A, McConechy MK, Leung S et al.. A clinically applicable molecular-based classification for endometrial cancers. Br J Cancer 2015;113:299310.

  • 74.

    Lax SF, Kendall B, Tashiro H et al.. The frequency of p53, K-ras mutations, and microsatellite instability differs in uterine endometrioid and serous carcinoma: evidence of distinct molecular genetic pathways. Cancer 2000;88:814824.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 75.

    Talhouk A, Hoang LN, McConechy MK et al.. Molecular classification of endometrial carcinoma on diagnostic specimens is highly concordant with final hysterectomy: earlier prognostic information to guide treatment. Gynecol Oncol 2016;143:4653.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 76.

    Altman AD, Ferguson SE, Atenafu EG et al.. Canadian High Risk Endometrial Cancer (CHREC) consortium: analyzing the clinical behavior of high risk endometrial cancers. Gynecol Oncol 2015;139:268274.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 77.

    Alkushi A, Kobel M, Kalloger SE, Gilks CB. High-grade endometrial carcinoma: serous and grade 3 endometrioid carcinomas have different immunophenotypes and outcomes. Int J Gynecol Pathol 2010;29:343350.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 78.

    Voss MA, Ganesan R, Ludeman L et al.. Should grade 3 endometrioid endometrial carcinoma be considered a type 2 cancer—a clinical and pathological evaluation. Gynecol Oncol 2012;124:1520.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 79.

    Soslow RA, Bissonnette JP, Wilton A et al.. Clinicopathologic analysis of 187 high-grade endometrial carcinomas of different histologic subtypes: similar outcomes belie distinctive biologic differences. Am J Surg Pathol 2007;31:979987.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 80.

    Ayeni TA, Bakkum-Gamez JN, Mariani A et al.. Comparative outcomes assessment of uterine grade 3 endometrioid, serous, and clear cell carcinomas. Gynecol Oncol 2013;129:478485.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 81.

    Bosse T, Nout RA, McAlpine JN et al.. Molecular classification of grade 3 endometrioid endometrial cancers identifies distinct prognostic subgroups. Am J Surg Pathol, in press.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 82.

    Chen W, Husain A, Nelson GS et al.. Immunohistochemical profiling of endometrial serous carcinoma. Int J Gynecol Pathol 2017;36:128139.

  • 83.

    Kurnit KC, Kim GN, Fellman BM et al.. CTNNB1 (beta-catenin) mutation identifies low grade, early stage endometrial cancer patients at increased risk of recurrence. Mod Pathol 2017;30:10321041.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 84.

    Howitt BE, Shukla SA, Sholl LM et al.. Association of polymerase e-mutated and microsatellite-instable endometrial cancers with neoantigen load, number of tumor-infiltrating lymphocytes, and expression of PD-1 and PD-L1. JAMA Oncol 2015;1:13191323.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 85.

    Mehnert JM, Panda A, Zhong H et al.. Immune activation and response to pembrolizumab in POLE-mutant endometrial cancer. J Clin Invest 2016;126:23342340.

  • 86.

    Gatalica Z, Snyder C, Maney T et al.. Programmed cell death 1 (PD-1) and its ligand (PD-L1) in common cancers and their correlation with molecular cancer type. Cancer Epidemiol Biomarkers Prev 2014;23:29652970.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 87.

    Le DT, Durham JN, Smith KN et al.. Mismatch repair deficiency predicts response of solid tumors to PD-1 blockade. Science 2017;357:409413.

  • 88.

    Sholl LM, Aisner DL, Allen TC et al.. Programmed death ligand-1 immunohistochemistry—a new challenge for pathologists: a perspective from members of the Pulmonary Pathology Society. Arch Pathol Lab Med 2016;140:341344.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 89.

    Xiong J, He M, Jackson C et al.. Endometrial carcinomas with significant mucinous differentiation associated with higher frequency of k-ras mutations: a morphologic and molecular correlation study. Int J Gynecol Cancer 2013;23:12311236.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 90.

    Buza N, Hui P. Marked heterogeneity of HER2/NEU gene amplification in endometrial serous carcinoma. Genes Chromosomes Cancer 2013;52:11781186.

Metrics

All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 7090 1264 126
PDF Downloads 6647 1288 109
EPUB Downloads 0 0 0