In:
Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 39, No. 15_suppl ( 2021-05-20), p. 521-521
Abstract:
521 Background: Recent clinical trials and meta-analysis have suggested the benefit of adding capecitabine to standard chemotherapy in early-stage triple negative breast cancer (TNBC). We aimed to develop an individualized prediction model to quantify the clinical benefit of metronomic capecitabine maintenance in TNBC. Methods: Patients from the SYSUCC-001 trial, randomized to standard treatment with or without metronomic capecitabine maintenance, were pooled. Candidate covariates included age, tumor size, lymph node, histological grade, Ki-67 percentage, lymphovascular invasion, chemotherapy regimen and capecitabine medication. The primary endpoint was disease-free survival (DFS). The nonlinear effect of continuous covariate was modelled by restricted cubic spline. We developed a survival prediction model using the Cox proportional hazards model. Results: A total of 434 patients were recruited (306 in development cohort and 128 in validation cohort). The estimated 5-year DFS in the development cohort and validation cohort were 77.8% (95% CI, 72.9-82.7%) and 78.2% (95% CI, 70.9-85.5%), respectively. Age and lymph node had significant nonlinear effects on DFS. Four covariates significantly associated with DFS in the final prediction model were age, lymph node, lymphovascular invasion and capecitabine medication. The model demonstrated suitable calibration and fair discrimination ability with a C-index of 0.722 (95% CI, 0.662-0.781) and 0.764 (95% CI, 0.668-0.859) in the development cohort and validation cohort, respectively. We design an easy-to-use online calculator based on the model, capable of predicting capecitabine maintenance benefit. Conclusions: The evidence-based prediction model could identify those patients who most warrant metronomic capecitabine maintenance and thus help treatment decision making in daily clinical practice. Clinical trial information: NCT01112826.
Type of Medium:
Online Resource
ISSN:
0732-183X
,
1527-7755
DOI:
10.1200/JCO.2021.39.15_suppl.521
Language:
English
Publisher:
American Society of Clinical Oncology (ASCO)
Publication Date:
2021
detail.hit.zdb_id:
2005181-5
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