Publications de Rachel Marcone

Tumor-educated Gr1+CD11b+cells drive breast cancer metastasis via OSM/IL-6/JAK-induced cancer cell plasticity

Nadine Fournier, Manon Bulliard, Annamaria Kauzlaric, Yu-Ting Huang, Rachel Marcone

Cancer cell plasticity contributes to therapy resistance and metastasis, which represent the main causes of cancer-related death, including in breast cancer. The tumor microenvironment drives cancer cell plasticity and metastasis, and unraveling the underl ...

Amer Soc Clinical Investigation Inc2024

RNA sequencing-based single sample predictors of molecular subtype and risk of recurrence for clinical assessment of early-stage breast cancer

Cathrin Brisken, Ayyakkannu Ayyanan, Rachel Marcone

Multigene assays for molecular subtypes and biomarkers can aid management of early invasive breast cancer. Using RNA-sequencing we aimed to develop single-sample predictor (SSP) models for clinical markers, subtypes, and risk of recurrence (ROR). A cohort ...

NATURE PORTFOLIO2022

The secreted protease Adamts18 links hormone action to activation of the mammary stem cell niche

Cathrin Brisken, Giovanna Ambrosini, Marian Caikovski, Dalya Ataca, Philipp Bucher, Renuga Devi Rajaram, Patrik Aouad, Marie Shamseddin, Céline Berthe Constantin, Csaba Ferenc László

Estrogens and progesterone control breast development and carcinogenesis via their cognate receptors expressed in a subset of luminal cells in the mammary epithelium. How they control the extracellular matrix, important to breast physiology and tumorigenes ...

Nature Research2020

Two-Tier Mapper, an unbiased topology-based clustering method for enhanced global gene expression analysis

Cathrin Brisken, Kathryn Hess Bellwald, Jacques Rougemont, Rachel Marcone

Motivation: Unbiased clustering methods are needed to analyze growing numbers of complex data sets. Currently available clustering methods often depend on parameters that are set by the user, they lack stability, and are not applicable to small data sets. ...

2019

Development of topological tools for the analysis of biological data

Rachel Marcone

There is a growing need for unbiased clustering algorithms, ideally automated to analyze complex data sets. Topological data analysis (TDA) has been used to approach this problem. This recent field of mathematics discerns characteristic features of a space ...

EPFL2018

A Preclinical Model for ERα-Positive Breast Cancer Points to the Epithelial Microenvironment as Determinant of Luminal Phenotype and Hormone Response

Cathrin Brisken, Georgios Sflomos, Valentina Scabia, Ayyakkannu Ayyanan, Rachel Marcone, Laura Battista, Maryse Fiche, Valérian Charles Robert Dormoy

Seventy-five percent of breast cancers are estrogen receptor α positive (ER(+)). Research on these tumors is hampered by lack of adequate in vivo models; cell line xenografts require non-physiological hormone supplements, and patient-derived xenografts (PD ...

Elsevier2016

Progesterone and Overlooked Endocrine Pathways in Breast Cancer Pathogenesis

Cathrin Brisken, Kathryn Hess Bellwald, Rachel Marcone

Worldwide, breast cancer incidence has been increasing for decades. Exposure to reproductive hormones, as occurs with recurrent menstrual cycles, affects breast cancer risk, and can promote disease progression. Exogenous hormones and endocrine disruptors h ...

2015