Literature DB >> 25284793

The prognostic ease and difficulty of invasive breast carcinoma.

Ali Tofigh1, Matthew Suderman1, Eric R Paquet1, Julie Livingstone1, Nicholas Bertos2, Sadiq M Saleh3, Hong Zhao2, Margarita Souleimanova2, Sean Cory1, Robert Lesurf3, Solmaz Shahalizadeh4, Norberto Garcia Lopez5, Yasser Riazalhosseini6, Atilla Omeroglu7, Josie Ursini-Siegel8, Morag Park9, Vanessa Dumeaux10, Michael Hallett11.   

Abstract

Breast carcinoma (BC) has been extensively profiled by high-throughput technologies for over a decade, and broadly speaking, these studies can be grouped into those that seek to identify patient subtypes (studies of heterogeneity) or those that seek to identify gene signatures with prognostic or predictive capacity. The sheer number of reported signatures has led to speculation that everything is prognostic in BC. Here, we show that this ubiquity is an apparition caused by a poor understanding of the interrelatedness between subtype and the molecular determinants of prognosis. Our approach constructively shows how to avoid confounding due to a patient's subtype, clinicopathological profile, or treatment profile. The approach identifies patients who are predicted to have good outcome at time of diagnosis by all available clinical and molecular markers but who experience a distant metastasis within 5 years. These inherently difficult patients (~7% of BC) are prioritized for investigations of intratumoral heterogeneity.
Copyright © 2014 The Authors. Published by Elsevier Inc. All rights reserved.

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Year:  2014        PMID: 25284793     DOI: 10.1016/j.celrep.2014.08.073

Source DB:  PubMed          Journal:  Cell Rep            Impact factor:   9.423


  33 in total

1.  Interactions between the tumor and the blood systemic response of breast cancer patients.

Authors:  Vanessa Dumeaux; Bjørn Fjukstad; Hans E Fjosne; Jan-Ole Frantzen; Marit Muri Holmen; Enno Rodegerdts; Ellen Schlichting; Anne-Lise Børresen-Dale; Lars Ailo Bongo; Eiliv Lund; Michael Hallett
Journal:  PLoS Comput Biol       Date:  2017-09-28       Impact factor: 4.475

2.  Infiltration of CD8+ T cells into tumor cell clusters in triple-negative breast cancer.

Authors:  Xuefei Li; Tina Gruosso; Dongmei Zuo; Atilla Omeroglu; Sarkis Meterissian; Marie-Christine Guiot; Adam Salazar; Morag Park; Herbert Levine
Journal:  Proc Natl Acad Sci U S A       Date:  2019-02-07       Impact factor: 11.205

3.  Transcript signatures that predict outcome and identify targetable pathways in MYCN-amplified neuroblastoma.

Authors:  Robin M Hallett; Alex B K Seong; David R Kaplan; Meredith S Irwin
Journal:  Mol Oncol       Date:  2016-08-18       Impact factor: 6.603

Review 4.  Breast cancer immune microenvironment: from pre-clinical models to clinical therapies.

Authors:  Brooke E Wilson; Chiara Gorrini; David W Cescon
Journal:  Breast Cancer Res Treat       Date:  2021-11-03       Impact factor: 4.872

5.  Classification of triple negative breast cancer by epithelial mesenchymal transition and the tumor immune microenvironment.

Authors:  Francesc Font-Clos; Stefano Zapperi; Caterina A M La Porta
Journal:  Sci Rep       Date:  2022-06-10       Impact factor: 4.996

6.  Disparity in Tumor Immune Microenvironment of Breast Cancer and Prognostic Impact: Asian Versus Western Populations.

Authors:  Ching-Hsuan Chen; Yen-Shen Lu; Ann-Lii Cheng; Chiun-Sheng Huang; Wen-Hung Kuo; Ming-Yang Wang; Ming Chao; I-Chun Chen; Chun-Wei Kuo; Tzu-Pin Lu; Ching-Hung Lin
Journal:  Oncologist       Date:  2019-08-01

7.  Differential distribution improves gene selection stability and has competitive classification performance for patient survival.

Authors:  Dario Strbenac; Graham J Mann; Jean Y H Yang; John T Ormerod
Journal:  Nucleic Acids Res       Date:  2016-05-17       Impact factor: 16.971

Review 8.  Predicting prognosis and therapeutic response from interactions between lymphocytes and tumor cells.

Authors:  David A Quigley; Vessela Kristensen
Journal:  Mol Oncol       Date:  2015-10-23       Impact factor: 6.603

9.  Heparanase: a potential marker of worse prognosis in estrogen receptor-positive breast cancer.

Authors:  Tamar Zahavi; Mali Salmon-Divon; Roberto Salgado; Michael Elkin; Esther Hermano; Ariel M Rubinstein; Prudence A Francis; Angelo Di Leo; Giuseppe Viale; Evandro de Azambuja; Lieveke Ameye; Christos Sotiriou; Asher Salmon; Nataly Kravchenko-Balasha; Amir Sonnenblick
Journal:  NPJ Breast Cancer       Date:  2021-05-28

10.  Extensive rewiring of epithelial-stromal co-expression networks in breast cancer.

Authors:  Eun-Yeong Oh; Stephen M Christensen; Sindhu Ghanta; Jong Cheol Jeong; Octavian Bucur; Benjamin Glass; Laleh Montaser-Kouhsari; Nicholas W Knoblauch; Nicholas Bertos; Sadiq Mi Saleh; Benjamin Haibe-Kains; Morag Park; Andrew H Beck
Journal:  Genome Biol       Date:  2015-06-19       Impact factor: 13.583

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