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Individualized Chemotherapy Benefit Prediction by EndoPredict in Patients With Early Breast Cancer in an Indian Cohort.

ABSTRACT: PURPOSE:There are new advancements in the modulation of the treatment of patients with early-stage breast cancer, including the use of several molecular profiling tests to identify or select those patients who require additional adjuvant chemotherapy together with hormonal therapy on the basis of a recurrence score. One such tool is EndoPredict (Myriad Genetics; Salt Lake City, UT), which provides support in clinical decision making. The objective of this analysis was to study the landscape of absolute chemotherapy benefit and the likelihood of recurrence within 5 to 15 years in Indian patients with breast cancer who are undergoing EndoPredict testing. PATIENTS AND METHODS:This study included 308 patients with hormone-positive, human epidermal growth factor receptor 2-negative early breast cancer. Their postsurgical blocks were analyzed using the EndoPredict test. The MEDCALC statistical tool (Panum Education; Seoul, Republic of Korea) was used to estimate the correlation coefficient and to conduct multiple regression analysis. RESULTS:On the basis of the EndoPredict EPclin Risk Score, 52.12% of patients were classified as being in the low-risk category and could safely forgo adjuvant chemotherapy. For every unit increase in the EPclin Risk Score, the percentage increase in absolute chemotherapy benefit was 6.82%. Similarly, the correlation between the likelihood of recurrence within 5 to 15 years and the EPclin Risk Score suggested that there is a 10.34% increase in recurrence for each unit of EPclin Risk Score. CONCLUSION:The EPclin Risk Score has good prognostic and predictive power; it also provides the range of chemotherapy benefit for Indian patients.

SUBMITTER: Somashekhar SP

PROVIDER: S-EPMC7529538 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature

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Individualized Chemotherapy Benefit Prediction by EndoPredict in Patients With Early Breast Cancer in an Indian Cohort.

Somashekhar S P SP Zaveri Shabber S Vijay Devanhalli Govinda DG Dattatreya Palanki Satya PS Kumar Rajeev R Islahi Fatma F Bahl Charu C

JCO global oncology 20200901

<h4>Purpose</h4>There are new advancements in the modulation of the treatment of patients with early-stage breast cancer, including the use of several molecular profiling tests to identify or select those patients who require additional adjuvant chemotherapy together with hormonal therapy on the basis of a recurrence score. One such tool is EndoPredict (Myriad Genetics; Salt Lake City, UT), which provides support in clinical decision making. The objective of this analysis was to study the landsc ...[more]

PMID: 32897733

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Project description:Objective: Recently, performing locoregional surgical treatment still remains debatable in patients with metastatic breast cancer (MBC). Current study aimed to develop prognostic nomograms for predicting the long-term survival in MBC patients with or without surgical intervention, thereby assisting clinicians in making individualized choice. Methods: The training set included 5173 patients who were diagnosed with MBC in 2010-2013 from the Surveillance, Epidemiology, and End Results Program, while the validation set comprised 2924 patients diagnosed in 2014-2015. Multivariant Cox hazard model was applied to determine the independent risk factors for overall survival (OS) and breast cancer specific survival (BCSS). Then, individualized pre- and postoperative nomograms for predicting 1- or 3-year survival probabilities were constructed accordingly. Internal and external validations were conducted to determine the accuracy of these nomograms by calculating concordance index (C-index) and plotting calibration curves. Results: The survival analysis indicated that surgical management conferred improved OS and BCSS in patients with metastatic breast cancer. Age, T stage, grade, distant metastatic site, ER, PR and HER2 status, radiation, and chemotherapy were independent risk factors for OS and BCSS both in surgery and non-surgery group. All these factors were subsequently incorporated into the nomogram which showed acceptable predictive capabilities with C-index range of 0.65-0.80 both in training set and external validation set. In addition, a preoperative nomogram incorporating variables capable of being determined before surgery was also built with C-index above 0.70 both in training and validation set. Conclusion: Surgical management in patients with metastatic breast cancer suggests a potential survival advantage. In addition, these well-validated pre- and postoperative nomograms may provide a useful tool to assist clinicians in treatment decision-making and in evaluating patients' long term prognosis.

Project description:ObjectivesThe role of postoperative radiotherapy (PORT) in malignant pleural mesothelioma (MPM) remains controversial and the eighth edition TNM staging scheme for MPM has not been fully verified. We aimed to develop an individualized prediction model for identifying optimal candidates for PORT among MPM patients who received surgery plus chemotherapy and externally validate the performance of the new TNM staging scheme.Materials and methodsDetailed characteristics of MPM patients during 2004-2015 were retrieved from SEER registries. Propensity score matching (PSM) was conducted to reduce disparities of baseline characteristics (age, sex, histologic type, stage, and type of surgery) between the PORT group and no-PORT group. A novel nomogram was constructed based on independent prognosticators identified by multivariate Cox regression model. The discriminatory performance and degree of calibration were evaluated. We stratified patients into different risk groups according to nomogram total scores and estimated the survival benefit of PORT in different subgroups in order to identify the optimal candidates.ResultsWe identified 596 MPM patients, among which 190 patients (31.9%) received PORT. PORT conferred significant survival benefit in the unmatched population, while there was no significant survival difference favoring PORT in the matched population. The C-index of the new TNM staging scheme was closed to 0.5, which represented a poor discriminatory ability. A novel nomogram was constructed based on clinicopathological factors, including age, sex, histology, and N stage. We stratified patients into three risk groups. Subgroup analyses indicated that PORT was beneficial for high-risk group (p = 0.003) rather than low-risk group (p = 0.965) and intermediate-risk group (p = 0.661).ConclusionWe established a novel predictive model, which could make individualized prediction of survival benefit of PORT for MPM and could compensate for weakness in TNM staging system.

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Dataset Information

Individualized Chemotherapy Benefit Prediction by EndoPredict in Patients With Early Breast Cancer in an Indian Cohort.

Publications

Individualized Chemotherapy Benefit Prediction by EndoPredict in Patients With Early Breast Cancer in an Indian Cohort.

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