Background: Conflicting data exist on the benefit of chemotherapy in the management of high-risk soft tissue sarcoma (STS). Use of chemotherapy may be dependent on patient, tumor, and facility characteristics. This study sought to identify these factors and compare survival between treatment groups. Patients and Methods: Patients with stage III STS were identified from the National Cancer Data Base (NCDB) from 1998 to 2012. Multiple logistic regression analysis was used to determine factors that influenced the probability of receiving chemotherapy. In a subset of patients, we determined the relationship between chemotherapy use and overall survival, using Kaplan-Meier curves and Cox regression analysis with propensity score adjustment. We also examined the effect of chemotherapy by histologic subgroup using interaction models. Results: A total of 16,370 patients were included (N=5,377 for survival analysis). Patients who were younger than 40 years; male; privately insured; earned a higher income; had no comorbidities; had synovial sarcoma, angiosarcoma or “other” histology; and whose tumors were high-grade, greater than 10 cm, or from the lower extremity were significantly more likely to receive chemotherapy. Median unadjusted overall survival (OS) in the nonchemotherapy and chemotherapy groups was 51.3 and 82.7 months, respectively (P<.001). On adjusted analysis, the survival benefit remained significant (hazard ratio [HR], 0.85; P=.004). The benefit was particularly strong in the undifferentiated pleomorphic sarcoma (UPS) group on adjustment, with a median OS of 49.1 and 77.8 months for nonchemotherapy versus chemotherapy, respectively (HR, 0.77; P=.02). Conclusions: In addition to expected tumor and patient factors, histology, location of primary tumor, and socioeconomic status are associated with receipt/nonreceipt of chemotherapy in stage III STS. Chemotherapy use was associated with improved OS in the overall population, and specifically in the UPS subgroup.
Sujana Movva, Margaret von Mehren, Eric A. Ross and Elizabeth Handorf
Alexandra Hunt, Elizabeth Handorf, Vipin Khare, Matthew Blau, Yana Chertock, Carolyn Fang, Michael J. Hall and Rishi Jain
Efrat Dotan, Elizabeth Handorf, Caitlin R. Meeker, Bianca Lewis, Kelly Filchner, Jennifer S. Winn and Lori J. Goldstein
Introduction: Geriatric assessment (GA) is recommended for evaluating an older cancer patient’s fitness for treatment; however, it is underutilized in the community. We sought to define the gaps that exist in community oncology practices in the assessment and management of older MBC patients through implementation and training on the use of GA for the care of older MBC patients. Methods: The first phase evaluated community oncology providers using questionnaires regarding their assessment and management of older MBC patients. The second phase included training through implementation of a patient self-administered GA among patients ≥65-years-old with MBC. The providers were blinded to the results of the GA and provided their assessment. Comparison of the 2 evaluations was conducted. The GA was ultimately shared with the providers, who were questioned about the effect of the results on care recommendations. Results: 43 providers from 10 practices were enrolled. Phase I revealed the majority (77%) of providers recognized the utility of GA, yet only 42% routinely conducted a GA pretreatment. Most providers (77%) reported evaluating various GA domains through patient interview rather than validated assessments. Validated scales were used in low rates to evaluate cognition (23%), psychosocial status (12%), and toxicity risk (9%). The limited use of validated assessment tools was not influenced by the provider’s demographics or their views of GA utility. Eighty patients took part in the training phase of the study to date, with average age 74 (range, 65–90) and 84% Caucasian. The majority of patients had subtype ER/PR+, HER2- (75%) and 46% were on first-line therapy. 277 recommended interventions were identified: 174 immediate interventions and 103 suggested interventions. Following review of these results, providers reported being surprised in 40% of the cases, mainly with lower than expected cognitive or social support scores. The providers reported plans for change in management in 44% of the patients as a result of the GA findings. Conclusion: Despite acknowledgement of the value associated with pretreatment GA, it is rarely used in the community. Furthermore, interview rather than validated assessment tools are used to identify age-related concerns. In our preliminary results, the GA identified a large number of deficient areas that had not been identified through the provider’s assessment, and resulted in management change. Additional updated results will be presented at the conference.