Although rare in the United States, gallbladder cancer (GC) is associated with relatively poor prognosis, especially for unresected cases. NCCN Clinical Practice Guidelines in Oncology (NCCN Guidelines) treatment recommendations for patients with GC include chemotherapy (CT) alone or chemoradiotherapy (CRT), although it is noted that there are limited data to support the CRT option.1
Although the addition of local therapy for unresected GC is controversial, it is theoretically appealing for multiple reasons. First, neoplasms of the gallbladder and bile ducts display postoperative patterns of recurrence that are largely locoregional prior to distant metastasis. It is estimated that just 10% to 15% of cases develop distant metastasis prior to locoregional recurrence, indicating that primary postoperative failure is locoregional.2 Additionally, locoregional recurrence is the main cause of tumor-related mortality.2 Furthermore, in the operative setting, adjuvant radiotherapy (RT) has been associated with survival benefits, potentially implying some level of cellular response and lack of relative radioresistance.3,4
Although extrapolating these rationales to unresected cases is problematic, foregoing local therapy for unresected disease may risk locoregional tumor progression to the point of symptomatic deterioration, quality-of-life decline, and potentially even a survival detriment. There have been numerous retrospective single-institution reports illustrating numerically high survival rates in patients treated with RT.5–12 However, these reports have generally been of limited patient numbers and have consisted of carefully selected patient cohorts and/or encompassed multiple types of biliary malignancies.
This comparative study of a large, contemporary national database of a general US population aimed to evaluate national practice patterns and outcomes of unresected nonmetastatic GC receiving CT alone versus CRT. Although challenging to assess with single- or multi-institutional analyses owing to the relative rarity of this malignancy, the National Cancer Database (NCDB) provides a unique resource with which to address this novel but clinically important issue.
Methods
The NCDB is a joint project of the Commission on Cancer (CoC) of the American College of Surgeons and the American Cancer Society, which consists of deidentified information regarding tumor characteristics, patient demographics, and patient survival for approximately 70% of the US population.13–31 All pertinent cases are reported regularly from CoC-accredited centers and compiled into a unified data set, which is then validated. The NCDB contains information not captured in the SEER database, including details regarding use of systemic therapy. The data used in the study were derived from a deidentified NCDB file (2004–2013). The American College of Surgeons and the CoC have not verified and are neither responsible for the analytic or statistical methodology used nor the conclusions drawn from these data by the investigators. Because all patient information in the NCDB is deidentified, this study was exempt from Institutional Review Board evaluation.
Inclusion criteria for this study were patients with newly diagnosed primary GC. Other biliary neoplasms were not included in the assigned data set provided by the NCDB. Patients who underwent resection (defined as wedge/segmental resection, lobectomy, hepatectomy, or surgery not otherwise specified) were excluded, as were those with in situ
disease, M1 disease, or unknown M classification. All patients were required to receive CT, because this is a category 1 recommendation with level I evidence; patients without CT status were removed.1,32 Patients were classified into 2 groups based on receipt of additional RT with CT versus lack of RT; patients with a missing RT status were removed. In accordance with the variables in NCDB files, information collected on each patient broadly included demographic, clinical, and treatment data.All statistical tests were performed with SPSS software (IBM, Armonk, NY); tests were 2-sided, with a threshold of P<.05 for statistical significance. Univariable and multivariable logistic regression were used to determine characteristics associated with receipt of CRT. All initially examined variables were considered for inclusion into models for stepwise selection, except clinical T and N classification due to the numerous patients with missing information. Survival analysis (performed using Kaplan-Meier methodology) evaluated overall survival (OS), defined as the interval between date of diagnosis and date of death or censored at last contact.
Patient Characteristics and Factors Associated With Receiving Chemoradiotherapy
Results
A complete flow diagram of patient selection is provided in Figure 1. In total, 1,199 patients met study analysis criteria; 327 patients (27%) underwent CRT, whereas 872 (73%) received CT alone (Table 1). Following univariate analysis, multivariable assessment revealed that no factors were independently associated with CRT delivery; this implied that the CRT and CT populations were substantially well balanced. There were, however, trends toward increasing receipt of CRT in Medicare patients (P=.068) and those living in the Midwest (P=.070). Trends were also noted for decreased CRT in the metropolitan population (P=.051) and those treated during more recent periods (2009–2013 vs 2004–2008; P=.056).
Median follow-up was 9 months for all patients (range, 0–123 months). Kaplan-Meier estimates comparing OS in patients who received CT alone versus CRT are illustrated in Figure 2; median OS in the respective cohorts were 7.8 months (95% CI, 7.1–8.5) and 12.9 months (95% CI, 11.0–14.7; P=.001).
In the overall cohort, there were several predictors of OS on univariate analysis (Table 2). After multivariate adjustment for potential confounding factors, factors independently associated with poorer OS included advancing age and diagnosis in prior years (P=.001 for both). Of note, receipt of CRT relative to CT alone independently predicted for improved OS (hazard ratio [HR], 0.721; 95% CI, 0.532–0.979; P=.001).
Discussion
Our study of a large, contemporary national database for this relatively rare malignancy—the largest such analysis to date—most notably demonstrates that the addition of RT to CT is independently associated with higher survival in unresected GC. This finding suggests that these hypothesis-generating data should ideally be tested in a prospective study.
These retrospective data may carry selection biases similar to several aforementioned studies, including the potential to perform more aggressive therapy in patients with better risk features or who are better able to tolerate multimodality therapy. In contrast, it is possible that the CRT population was a “higher-risk” cohort and yet still experienced a significantly higher OS.33,34 It is intuitive that local therapy may be more often delivered in bulkier cases at higher risk for future/current symptomatology, or potentially owing to doubt that CT alone could sufficiently control the disease. To this extent, a short-coming of this investigation is the NCDB's lack of information regarding tumor size, which may impact the efficacy of additional RT in this setting35; the T and N classifications were also largely missing, likely owing to the nonoperative nature of this cohort. Additionally, overall, patients were well balanced (and therefore there was no statistically valid role for propensity matching), without differences in age or comorbidity index. Because all patients received CT, it cannot be said that one group was more “unhealthy” than the other, as both groups were “fit” enough to receive CT. Furthermore, another salient factor was that CRT was less likely given at later periods (2009–2013; P=.056), but treatment during these periods was independently associated with increased OS on multivariate analysis (P=.001).
The study design further adds credence to the findings regarding CRT versus CT. Although the
Univariate and Multivariate Cox Proportional Hazards Model for Overall Survival
Although this is the only study of its kind, 2 SEER publications previously attempted to address this question specifically for extrahepatic cholangiocarcinoma.36,37 Although both studies found OS improvements with RT versus without, a major advantage of our study is that the SEER database does not contain any information on CT. As such, a proportion of patients in the “no RT” groups in those analyses might not have received any tumor-directed therapy (ie, received supportive care alone). There is reason to believe that many patients in that cohort received supportive care, because not only is it still recommended by the NCCN Guidelines1 but also it may have been the standard of care prior to a randomized trial showing it to be inferior to CT (albeit in a mix of hepatopancreatobiliary neoplasms).32 That trial was published in 1996,33 whereas both aforementioned SEER studies extracted patients from as early as 198836 and 1973.37 This bias clearly leads to difficulties in interpretation, and to this extent the information on receipt of CT provided by the NCDB allowed for the selection of a “pure,” more modern cohort of patients who all received CT at baseline. Although the NCDB does not provide information on number of cycles, specific agents, or tolerance to CT, it still offers a marked benefit over existing SEER reports.
Consequently, although the NCDB provides a unique platform on which to study this important clinical question, this investigation is not without limitations. First, NCDB studies are inherently retrospective, with selection biases and lack of several end points, such as locoregional control or cancer-specific survival. Second, although we excluded patients undergoing palliative care (per the NCDB variable), definitions of this variable are subject to interpretation and bias. Third, as mentioned previously, the NCDB does not keep track of several other factors, including CT details, performance/functional status, and RT field design/volumes/techniques. Furthermore, information on histology, T/N classification, and tumor size is missing, largely owing to the nonoperative nature of these patients, and was thus not able to be thoroughly analyzed. Additionally, the NCDB does not allow for assessment of subsequent lines of treatment (eg, reirradiation, further systemic and/or targeted therapy), which could influence OS.
Conclusions
This is the largest study to date evaluating the utility of CRT compared with CT alone for treating unresectable nonmetastatic GC. Administration of CRT was independently associated with improved survival. Nevertheless, causation is not implied, and prospective evidence is necessary to verify the conclusions presented herein. The accruing NRG-GI001 randomized trial is evaluating a similar question for intrahepatic cholangiocarcinoma (ClinicalTrials.gov identifier: NCT02200042).
References
- 2.↑
Macdonald OK, Crane CH. Palliative and postoperative radiotherapy in biliary tract cancer. Surg Oncol Clin N Am 2002;11:941–954.
- 3.↑
Hoehn RS, Wima K, Ertel AE et al.. Adjuvant therapy for gallbladder cancer: an analysis of the National Cancer Data Base. J Gastrointest Surg 2015;19:1794–1801.
- 4.↑
Mantripragada KC, Hamid F, Shafqat H, Olszewski AJ. Adjuvant therapy for resected gallbladder cancer: analysis of the National Cancer Data Base. J Natl Cancer Inst 2016;109:djw202.
- 5.↑
Grove MK, Hermann RE, Vogt DP, Broughan TA. Role of radiation after operative palliation in cancer of the proximal bile ducts. Am J Surg 1991;161:454–458.
- 6.
Tollenaar RA, van de Velde CJ, Taat CW et al.. External radiotherapy and extrahepatic bile duct cancer. Eur J Surg 1991;157:587–589.
- 7.
Buskirk SJ, Gunderson LL, Schild SE et al.. Analysis of failure after curative irradiation of extrahepatic bile duct carcinoma. Ann Surg 1992;215:125–131.
- 8.
Lu JJ, Bains YS, Abdel-Wahab M et al.. High-dose-rate remote afterloading intracavitary brachytherapy for the treatment of extrahepatic biliary duct carcinoma. Cancer J 2002;8:74–78.
- 9.
Crane CH, Macdonald KO, Vauthey JN et al.. Limitations of conventional doses of chemoradiation for unresectable biliary cancer. Int J Radiat Oncol Biol Phys 2002;53:969–974.
- 10.
Deodato F, Clemente G, Mattiucci GC et al.. Chemoradiation and brachytherapy in biliary tract carcinoma: long-term results. Int J Radiat Oncol Biol Phys 2006;64:483–488.
- 11.
Ghafoori AP, Nelson JW, Willett CG et al.. Radiotherapy in the treatment of patients with unresectable extrahepatic cholangiocarcinoma. Int J Radiat Oncol Biol Phys 2011;81:654–659.
- 12.↑
Habermehl D, Lindel K, Rieken S et al.. Chemoradiation in patients with unresectable extrahepatic and hilar cholangiocarcinoma or at high risk for disease recurrence after resection: analysis of treatment efficacy and failure in patients receiving postoperative or primary chemoradiation. Strahlenther Onkol 2012;188:795–801.
- 13.↑
Bilimoria KY, Stewart AK, Winchester DP, Ko CY. The National Cancer Data Base: a powerful initiative to improve cancer care in the United States. Ann Surg Oncol 2008;15:683–690.
- 14.
Stahl JM, Corso CD, Verma V et al.. Trends in stereotactic body radiation therapy for stage I small cell lung cancer. Lung Cancer 2017;103:11–16.
- 15.
Haque W, Verma V, Butler EB, Teh BS. Patterns of care and outcomes of multi-agent versus single-agent chemotherapy as part of multimodal management of low grade glioma. J Neurooncol 2017;133:369–375.
- 16.
Haque W, Verma V, Butler EB, Teh BS. National practice patterns and outcomes for T4b urothelial cancer of the bladder [published online ahead of print September 6, 2017]. Clin Genitourin Cancer, doi:10.1016/j. clgc.2017.08.013.
- 17.
Moreno AC, Verma V, Hofstetter WL, Lin SH. Patterns of care and treatment outcomes of elderly patients with stage I esophageal cancer: analysis of the National Cancer Data Base. J Thorac Oncol 2017;12:1152–1160.
- 18.
McMillan MT, Ojerholm E, Verma V et al.. Radiation treatment time and overall survival in locally advanced non-small cell lung cancer. Int J Radiat Oncol Biol Phys 2017;98:1142–1152.
- 19.
Verma V, Ryckman JM, Simone CB II, Lin C. Patterns of care and outcomes with the addition of chemotherapy to radiation therapy for stage I nasopharyngeal cancer [published online ahead of print July 19, 2017]. Acta Oncol, doi:10.1080/0284186X.2017.1351039.
- 20.
Verma V, Ahern CA, Berlind CG et al.. National Cancer Data Base report on pneumonectomy versus lung-sparing surgery for malignant pleural mesothelioma. J Thorac Oncol 2017;12:1704–1714.
- 21.
Haque W, Verma V, Butler EB, Teh BS. Definitive chemoradiation at high volume facilities is associated with improved survival in glioblastoma. J Neurooncol 2017;135:173–181.
- 22.
Haque W, Verma V, Butler EB, Teh BS. Radical cystectomy versus chemoradiation for muscle-invasive bladder cancer: impact of treatment facility and sociodemographics. Anticancer Res 2017;37:5603–5608.
- 23.
Bott MJ, Patel AP, Verma V et al.. Patterns of care in hilar node-positive (N1) non-small cell lung cancer: a missed treatment opportunity? J Thorac Cardiovasc Surg 2016;151:1549–1558.
- 24.
Haque W, Verma V, Butler EB, Teh BS. Radiation dose in neoadjuvant chemoradiation therapy for esophageal cancer: patterns of care and outcomes from the National Cancer Data Base [published online ahead of print September 22, 2017]. J Gastrointest Oncol 2017, doi: 10.21037/jgo.2017.09.12.
- 25.
Verma V, Simone CB, Lin C. Human papillomavirus and nasopharyngeal cancer. Head Neck 2017, doi: 10.1002/hed.24978.
- 26.
Haque W, Verma V, Butler EB, Teh BS. Addition of chemotherapy to hypofractionated radiotherapy for glioblastoma: practice patterns, outcomes, and predictors of survival [published online ahead of print October 31, 2017]. J Neurooncol 2017, doi: 10.1007/s11060-017-2654-y.
- 27.
Verma V, Allen PK, Simone CB II et al.. Association of treatment at high-volume facilities with survival in patients receiving chemoradiotherapy for nasopharyngeal cancer [published online ahead of print November 2, 2017]. JAMA Otolaryngol Head Neck Surg 2017, doi:10.1001/jamaoto.2017.1874.
- 28.
Verma V, Allen PK, Simone CB II et al.. Addition of definitive radiotherapy to chemotherapy in patients with newly diagnosed metastatic nasopharyngeal cancer. J Natl Compr Canc Netw 2017;15:1383–1391.
- 29.
Haque W, Verma V, Butler EB, Teh BS. Chemotherapy versus chemoradiation for node-positive bladder cancer: practice patterns and outcomes from the National Cancer Data Base. Bladder Cancer 2017;3:283–291.
- 30.
Haque W, Verma V, Bernicker E et al.. Management of pathologic node-positive disease following initial surgery for clinical T1-2 N0 esophageal cancer: patterns of care and outcomes from the National Cancer Data Base [published online ahead of print November 30, 2017]. Acta Oncol 2017, doi: 10.1080/0284186X.2017.1409435.
- 31.↑
Haque W, Lewis GD, Verma V et al.. The role of adjuvant chemotherapy in locally advanced bladder cancer [published online ahead of print December 11, 2017]. Acta Oncol 2017, doi: 10.1080/0284186X.2017.1415461.
- 32.↑
Glimelius B, Hoffman K, Sjoden PO et al.. Chemotherapy improves survival and quality of life in advanced pancreatic and biliary cancer. Ann Oncol 1996;7:593–600.
- 33.↑
Haque W, Verma V, Fakhreddine M et al.. Addition of chemotherapy to definitive radiotherapy for IB1 and IIA1 cervical cancer: analysis of the National Cancer Data Base. Gynecol Oncol 2017;144:28–33.
- 34.↑
Verma V, McMillan MT, Grover S et al.. Stereotactic body radiation therapy and the influence of chemotherapy on overall survival for large (≥5 centimeter) non-small cell lung cancer. Int J Radiat Oncol Biol Phys 2017;97:146–154.
- 35.↑
Brunner TB, Schwab D, Meyer T, Sauer R. Chemoradiation may prolong survival of patients with non-bulky unresectable extrahepatic biliary carcinoma. A retrospective analysis. Strahlenther Onkol 2004;180:751–757.
- 36.↑
Shinohara ET, Mitra N, Guo M, Metz JM. Radiotherapy is associated with improved survival in adjuvant and palliative treatment of extrahepatic cholangiocarcinomas. Int J Radiat Oncol Biol Phys 2009;74:1191–1198.
- 37.↑
Fuller CD, Wang SJ, Choi M et al.. Multimodality therapy for locoregional extrahepatic cholangiocarcinoma: a population-based analysis. Cancer 2009;115:5175–5183.