AI Article Synopsis

  • - The study aimed to develop and validate a prognostic model for invasive lobular breast carcinoma (ILC) while investigating molecular abnormalities, particularly focusing on CDK4/6 alterations, in relation to patient prognosis.
  • - Researchers collected data from 773 early-stage ILC patients and created a model that effectively categorized patients based on their risk of disease recurrence, showing significant outcomes across different risk levels.
  • - Findings indicated that CDK4 gain was only found in the poor prognosis group, suggesting it could be a valuable prognostic biomarker for ILC, warranting further research and potential therapeutic use.

Article Abstract

Introduction: The clinico-pathological and molecular factors that drive the prognosis of invasive lobular breast carcinoma (ILC) are not entirely explored. In this regard, the development and validation of a prognostic model for ILC and the investigation of the distribution of molecular abnormalities (focusing on CDK4/6 alterations) according to prognosis were the aims of this study.

Patients And Methods: Two clinico-pathological multi-center data-sets of early-stage ILC patients (Training/Validation Set, TS/VS) were gathered. A 3-class model was developed according to the multivariate analysis for disease-free-survival (DFS) and externally validated. Mutational, copy number variation and transcriptomic analyses by targeted next generation sequencing (NGS) were performed (and validated with quantitative PCR) in an explorative cohort of patients with poor and good prognosis.

Results: Data from overall 773 patients (TS/VS: 491/282) were gathered. The developed model significantly discriminated low/intermediate/high risk in the TS (10-years DFS: 76.3%/67.6%/39.8%, respectively, p<0.0001) and in the VS (p<0.0001). In the explorative cohort for molecular analysis (34 patients), CDK4 gain was present exclusively in the poor prognosis group (35.0%, p = 0.03; OR 7.98, 95%CI 1.51-42.1, p = 0.014). Moreover, CDK4 and 6 overexpression showed a trend toward an association with poor prognosis (OR 2.7, 95%CI 0.4-18.1, p = 0.3; OR 3.29, 95%CI 0.56-19.25, p = 0.18).

Conclusions: A risk stratification model, able to accurately separate early-stage ILC patients' prognosis into different risk classes according to clinico-pathological variables, allowed to investigate potential biomarkers of prognosis with targeted NGS. CDK4 gain is suggested for future validation as a prognostic biomarker and a potential therapeutic opportunity in ILC patients.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7375560PMC
http://dx.doi.org/10.1016/j.breast.2020.01.034DOI Listing

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