A pooled analysis evaluating prognostic significance of Residual Cancer Burden in invasive lobular breast cancer.

IF 6.5 2区 医学 Q1 ONCOLOGY
Rita A Mukhtar, Soumya Gottipati, Christina Yau, Sara López-Tarruella, Helena Earl, Larry Hayward, Louise Hiller, Marie Osdoit, Marieke van der Noordaa, Diane de Croze, Anne-Sophie Hamy, Marick Laé, Fabien Reyal, Gabe S Sonke, Tessa G Steenbruggen, Maartje van Seijen, Jelle Wesseling, Miguel Martín, Maria Del Monte-Millán, Judy C Boughey, Matthew P Goetz, Tanya Hoskin, Vicente Valero, Stephen B Edge, Jean E Abraham, John M S Bartlett, Carlos Caldas, Janet Dunn, Elena Provenzano, Stephen-John Sammut, Jeremy S Thomas, Ashley Graham, Peter Hall, Lorna Mackintosh, Fang Fan, Andrew K Godwin, Kelsey Schwensen, Priyanka Sharma, Angela M DeMichele, Kimberly Cole, Lajos Pusztai, Mi-Ok Kim, Laura J van 't Veer, David Cameron, Laura J Esserman, W Fraser Symmans
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引用次数: 0

Abstract

Residual Cancer Burden (RCB) after neoadjuvant chemotherapy (NAC) is validated to predict event-free survival (EFS) in breast cancer but has not been studied for invasive lobular carcinoma (ILC). We studied patient-level data from a pooled cohort across 12 institutions. Associations between RCB index, class, and EFS were assessed in ILC and non-ILC with mixed effect Cox models and multivariable analyses. Recursive partitioning was used in an exploratory model to stratify prognosis by RCB components. Of 5106 patients, the diagnosis was ILC in 216 and non-ILC in 4890. Increased RCB index was associated with worse EFS in both ILC and non-ILC (p = 0.002 and p < 0.001, respectively) and remained prognostic when stratified by receptor subtype and adjusted for age, grade, T category, and nodal status. Recursive partitioning demonstrated residual invasive cancer cellularity as most prognostic in ILC. These results underscore the utility of RCB for evaluating NAC response in those with ILC.

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来源期刊
NPJ Breast Cancer
NPJ Breast Cancer Medicine-Pharmacology (medical)
CiteScore
10.10
自引率
1.70%
发文量
122
审稿时长
9 weeks
期刊介绍: npj Breast Cancer publishes original research articles, reviews, brief correspondence, meeting reports, editorial summaries and hypothesis generating observations which could be unexplained or preliminary findings from experiments, novel ideas, or the framing of new questions that need to be solved. Featured topics of the journal include imaging, immunotherapy, molecular classification of disease, mechanism-based therapies largely targeting signal transduction pathways, carcinogenesis including hereditary susceptibility and molecular epidemiology, survivorship issues including long-term toxicities of treatment and secondary neoplasm occurrence, the biophysics of cancer, mechanisms of metastasis and their perturbation, and studies of the tumor microenvironment.
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