Literature DB >> 26118875

[Molecular taxonomy of luminal breast cancer in 2015].

Camille Franchet1, Raphaëlle Duprez-Paumier1, Magali Lacroix-Triki2.   

Abstract

Luminal breast cancers (i.e. displaying œstrogen receptor expression) account for 70 to 80% of all breast cancers. It encompasses a heterogeneous population of tumors, differing by their clinical course, histopathological characteristics, phenotypes and molecular features. As a continuum of lesions, luminal breast tumors are critically challenged by the recent evolution in treatment decision making. Indeed, whilst about half of luminal breast cancers are associated with a very good prognosis (so-called luminal A tumors with regard to the intrinsic molecular classification), 20% of luminal tumors display a poor clinical outcome (i.e. luminal B tumors), the remaining tumors corresponding to intermediate lesions that are very difficult to accurately classify. Clearly, therapeutic issues are critical, since according to the vast majority of international consensus guidelines luminal A tumors are best treated by endocrine therapy, whilst an additional adjuvant chemotherapy will be proposed to patients harbouring luminal B breast cancer. By providing precise histopathological, phenotypic and molecular characterization of luminal breast tumors, the pathologist is actually the cornerstone of this therapeutic decision. Herein we aim to review the state-of-the-art knowledge on luminal breast carcinomas, with a perspective of routine clinical practice in 2015.
Copyright © 2015 Société Françise du Cancer. Publié par Elsevier Masson SAS. Tous droits réservés. Published by Elsevier Masson SAS. All rights reserved.

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Keywords:  Biomarkers; Biomarqueurs; Breast cancer; Cancer du sein; Classification moléculaire; Histopathologie; Histopathology; Molecular classification; Proliferation; Prolifération; Récepteur des œstrogènes; Œstrogen receptor

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Year:  2015        PMID: 26118875     DOI: 10.1016/S0007-4551(15)31216-9

Source DB:  PubMed          Journal:  Bull Cancer        ISSN: 0007-4551            Impact factor:   1.276


  3 in total

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Journal:  Medicine (Baltimore)       Date:  2017-08       Impact factor: 1.889

2.  Delving into the Heterogeneity of Different Breast Cancer Subtypes and the Prognostic Models Utilizing scRNA-Seq and Bulk RNA-Seq.

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Journal:  Int J Mol Sci       Date:  2022-09-01       Impact factor: 6.208

3.  Glyoxalase 1 and protein kinase Cλ as potential therapeutic targets for late-stage breast cancer.

Authors:  Hitomi Motomura; Ayaka Ozaki; Shoma Tamori; Chotaro Onaga; Yuka Nozaki; Yuko Waki; Ryoko Takasawa; Kazumi Yoshizawa; Yasunari Mano; Tsugumichi Sato; Kazunori Sasaki; Hitoshi Ishiguro; Yohei Miyagi; Yoji Nagashima; Kouji Yamamoto; Keiko Sato; Takehisa Hanawa; Sei-Ichi Tanuma; Shigeo Ohno; Kazunori Akimoto
Journal:  Oncol Lett       Date:  2021-05-24       Impact factor: 2.967

  3 in total

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