2016
DOI: 10.1038/ncomms12222
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A whole-genome sequence and transcriptome perspective on HER2-positive breast cancers

Abstract: HER2-positive breast cancer has long proven to be a clinically distinct class of breast cancers for which several targeted therapies are now available. However, resistance to the treatment associated with specific gene expressions or mutations has been observed, revealing the underlying diversity of these cancers. Therefore, understanding the full extent of the HER2-positive disease heterogeneity still remains challenging. Here we carry out an in-depth genomic characterization of 64 HER2-positive breast tumour… Show more

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Cited by 125 publications
(124 citation statements)
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“…The distribution of the types of alterations was different from that of IBC ( P = 1.24E‐17, Fisher's exact test) with a lesser percent of mutations (70% vs 78%, corresponding to 62% vs 66% for SNVs, and 8% vs 12% for indels). The gene alterations identified in non‐IBC confirmed the literature data (Banerji et al , ; Ellis et al , ; Ferrari et al , ; Nik‐Zainal et al , ; Nik‐Zainal et al , ; Nik‐Zainal et al , ; Shah et al , ; Stephens et al , ; Cancer Genome Atlas, ), that is, the most frequently altered genes including PIK3CA (39%), TP53 (34%), HER2 (13%), GATA3 (13%), KMT2C (11%), CDH1 (10%), and MAP3K1 (10%). The mean TMB for all variants was higher in IBC (six mutations/Mb; CI95, 4–8) than in non‐IBC (2; CI95, 2–2; Student's t ‐test, P = 6.29E‐05; Fig.…”
Section: Resultssupporting
confidence: 80%
See 1 more Smart Citation
“…The distribution of the types of alterations was different from that of IBC ( P = 1.24E‐17, Fisher's exact test) with a lesser percent of mutations (70% vs 78%, corresponding to 62% vs 66% for SNVs, and 8% vs 12% for indels). The gene alterations identified in non‐IBC confirmed the literature data (Banerji et al , ; Ellis et al , ; Ferrari et al , ; Nik‐Zainal et al , ; Nik‐Zainal et al , ; Nik‐Zainal et al , ; Shah et al , ; Stephens et al , ; Cancer Genome Atlas, ), that is, the most frequently altered genes including PIK3CA (39%), TP53 (34%), HER2 (13%), GATA3 (13%), KMT2C (11%), CDH1 (10%), and MAP3K1 (10%). The mean TMB for all variants was higher in IBC (six mutations/Mb; CI95, 4–8) than in non‐IBC (2; CI95, 2–2; Student's t ‐test, P = 6.29E‐05; Fig.…”
Section: Resultssupporting
confidence: 80%
“…During the last decade, next‐generation sequencing (NGS) led to identification of driver alterations in non‐IBC (Banerji et al , ; Ellis et al , ; Ferrari et al , ; Nik‐Zainal et al , ; Nik‐Zainal et al , ; Nik‐Zainal et al , ; Shah et al , ; Stephens et al , ; The Cancer Genome Atlas, ). Precision medicine trials have shown the potential of DNA‐based genomics screening to identify clinically actionable genetic alterations (AGAs) for guiding treatment (Andre et al , ; Le Tourneau et al , ).…”
Section: Introductionmentioning
confidence: 99%
“…By comparison, a previous study investigating recurrent ESR1‐CCDC170 fusions suggested a degree of enrichment of such fusions in HER‐positive patients (luminal A .9%, luminal B 2.9% and HER2 3.1%) . We also detected an intra‐chromosomal ERBB2‐ORMDL3 frameshift fusion within 230 kbp of 17q12, a distance longer than the reported 106‐kbp ERBB2 amplicon region …”
Section: Discussionsupporting
confidence: 56%
“…Recent massive parallel sequencing studies have revealed that HER2 can drive breast cancer growth not only by amplification in HER2+ breast cancer but also through HER2-activating mutations preferentially in breast cancers lacking HER2 overexpression and/or gene amplification (20, 21). HER2 mutations occur in about ~3% of breast cancer patients, among which the HER2 L755S mutation is the most common (results based on the Cancer Genome Atlas Study (TCGA; cBioPortal) (22, 23).…”
Section: Introductionmentioning
confidence: 99%