Abstract
Abstract Invasive Lobular Carcinoma (ILC) is the most common special histological subtype of breast cancer. ILC typically present as Oestrogen and Progesterone Receptor positive cancers, without over-expression of HER2 and are defined by their invasive pattern of growth. Despite clinical and biological differences, including diverse sites of metastasis, ILC are managed in the same way as the more commonly diagnosed, Invasive Carcinomas of no special type. Previously, we derived the LobSig lobular specific gene signature in an attempt to prognosticate within an otherwise homogeneous tumour category. We showed that this set of genes could stratify Grade 2 and Nottingham Prognostic Index moderate tumours into high and low risk groups. Herein, we use a nanoString nCounter custom codeset and immunohistochemistry to validate the LobSig signature. Using a CoxBoost analysis we further refined the geneset to 14 genes of interest which we examined using Immunohistochemistry on a large panel of ILC with clinical follow up data. Four targets showed a significant association with breast cancer specific survival, with high levels correlating with the poorest outcomes. Considering the expression data for these 4 candidates together, we performed a Cox Proportional Hazard Regression resulting in a combined prognostic power of (P=0.00034, HR=8.07 (CI 2.58-25.30)), which has superior prognostic power over variables including tumor size and patient age. ‘LobSig4’ represents a readily implementable and informative biomarker set for prognostication in Invasive Lobular Carcinoma. Citation Format: Lauren Kalinowski, Jamie Kutasovic, Sriganesh Srihari, Yufan Feng, Samir Lal, Kaltin Ferguson, Haarika Chittoory, Anna Sokolova, Malcolm Lim, Priyakshi Kalita De Croft, Sunil Lakhani, Peter Simpson, Amy McCart Reed. LobSig4 is a superior and readily implementable ILC-focussed prognostic biomarker set [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO3-15-09.
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