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Epitranscriptomics & Cancer Adaptation : A.David

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Our research work focuses on the contribution of post-transcriptional mechanisms on cancer cell adaptation, in particular RNA epigenetic & translational control.

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Added by standudu
Group name EquipeCTCS
Item Type Journal Article
Title Association between FGFR1 copy numbers, MAP3K1 mutations, and survival in axillary node-positive, hormone receptor-positive, and HER2-negative early breast cancer in the PACS04 and METABRIC studies
Creator Carene et al.
Author Dimitri Carene
Author Alicia Tran-Dien
Author Jérôme Lemonnier
Author Florence Dalenc
Author Christelle Levy
Author Jean-Yves Pierga
Author William Jacot
Author Jean-Luc Canon
Author Catherine Richon
Author Ludovic Lacroix
Author Christophe Caux
Author Fabrice André
Author Stefan Michiels
Abstract PURPOSE: Hormone receptor-positive (HR+) and human epidermal growth factor receptor 2 negative (HER2-) early breast cancer (BC) is the most prevalent BC subtype with substantial biological heterogeneity. Although clinicopathological (CP) characteristics have a clear prognostic value, additional biomarkers could refine survival prediction and guide treatment decision. METHODS: Copy number aberrations and somatic driver mutations were obtained with OncoScan CGH array and sequencing of 36 genes on HR+/HER2- node-positive early BC patients treated with chemotherapy from the PACS04 trial. We built a two-gene genomic score (GS) associated with distant disease-free survival (DDFS), whose prognostic value was assessed on the external METABRIC data (n?=?1413) using overall survival (OS) and breast cancer-specific survival (BCSS). RESULTS: In the PACS04 trial (n?=?327), the median follow-up for DDFS (65 events) was 9.6 years. FGFR1 amplifications ([Formula: see text]?=?2.44, 95% CI [1.25; 4.76], p?=?0.009) and MAP3K1 mutations ([Formula: see text]?=?0.10, [0.01; 0.78], p?=?0.03) were associated with DDFS beyond CP characteristics. A prognostic GS combining FGFR1 amplifications and MAP3K1 mutations added more information to CP model ([Formula: see text]?=?12.97, [Formula: see text]?
Publication Breast Cancer Research and Treatment
Date Oct 16, 2019
Journal Abbr Breast Cancer Res. Treat.
Language eng
DOI 10.1007/s10549-019-05462-y
ISSN 1573-7217
Library Catalog PubMed
Extra 00000 PMID: 31620934
Tags Biomarkers, Breast cancer (BC), clinic, Copy number aberrations (CNA), Cox regression
Date Added 2020/01/21 - 10:51:54
Date Modified 2020/01/21 - 11:01:58
Notes and Attachments PubMed entry (Attachment)


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