Whole-exome sequencing identifies somatic mutations and intratumor heterogeneity in inflammatory breast cancer

Abstract Inflammatory breast cancer (IBC) is the most aggressive form of breast cancer. Although it is a rare subtype, IBC is responsible for roughly 10% of breast cancer deaths. In order to obtain a better understanding of the genomic landscape and intratumor heterogeneity (ITH) in IBC, we conducte...

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Autores principales: Rui Luo, Weelic Chong, Qiang Wei, Zhenchao Zhang, Chun Wang, Zhong Ye, Maysa M. Abu-Khalaf, Daniel P. Silver, Robert T. Stapp, Wei Jiang, Ronald E. Myers, Bingshan Li, Massimo Cristofanilli, Hushan Yang
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Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/885ab6ec335d4e03b4834744d638b55f
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spelling oai:doaj.org-article:885ab6ec335d4e03b4834744d638b55f2021-12-02T15:56:53ZWhole-exome sequencing identifies somatic mutations and intratumor heterogeneity in inflammatory breast cancer10.1038/s41523-021-00278-w2374-4677https://doaj.org/article/885ab6ec335d4e03b4834744d638b55f2021-06-01T00:00:00Zhttps://doi.org/10.1038/s41523-021-00278-whttps://doaj.org/toc/2374-4677Abstract Inflammatory breast cancer (IBC) is the most aggressive form of breast cancer. Although it is a rare subtype, IBC is responsible for roughly 10% of breast cancer deaths. In order to obtain a better understanding of the genomic landscape and intratumor heterogeneity (ITH) in IBC, we conducted whole-exome sequencing of 16 tissue samples (12 tumor and four normal samples) from six hormone-receptor-positive IBC patients, analyzed somatic mutations and copy number aberrations, and inferred subclonal structures to demonstrate ITH. Our results showed that KMT2C was the most frequently mutated gene (42%, 5/12 samples), followed by HECTD1, LAMA3, FLG2, UGT2B4, STK33, BRCA2, ACP4, PIK3CA, and DNAH8 (all nine genes tied at 33% frequency, 4/12 samples). Our data indicated that PTEN and FBXW7 mutations may be considered driver gene mutations for IBC. We identified various subclonal structures and different levels of ITH between IBC patients, and mutations in the genes EIF4G3, IL12RB2, and PDE4B may potentially generate ITH in IBC.Rui LuoWeelic ChongQiang WeiZhenchao ZhangChun WangZhong YeMaysa M. Abu-KhalafDaniel P. SilverRobert T. StappWei JiangRonald E. MyersBingshan LiMassimo CristofanilliHushan YangNature PortfolioarticleNeoplasms. Tumors. Oncology. Including cancer and carcinogensRC254-282ENnpj Breast Cancer, Vol 7, Iss 1, Pp 1-8 (2021)
institution DOAJ
collection DOAJ
language EN
topic Neoplasms. Tumors. Oncology. Including cancer and carcinogens
RC254-282
spellingShingle Neoplasms. Tumors. Oncology. Including cancer and carcinogens
RC254-282
Rui Luo
Weelic Chong
Qiang Wei
Zhenchao Zhang
Chun Wang
Zhong Ye
Maysa M. Abu-Khalaf
Daniel P. Silver
Robert T. Stapp
Wei Jiang
Ronald E. Myers
Bingshan Li
Massimo Cristofanilli
Hushan Yang
Whole-exome sequencing identifies somatic mutations and intratumor heterogeneity in inflammatory breast cancer
description Abstract Inflammatory breast cancer (IBC) is the most aggressive form of breast cancer. Although it is a rare subtype, IBC is responsible for roughly 10% of breast cancer deaths. In order to obtain a better understanding of the genomic landscape and intratumor heterogeneity (ITH) in IBC, we conducted whole-exome sequencing of 16 tissue samples (12 tumor and four normal samples) from six hormone-receptor-positive IBC patients, analyzed somatic mutations and copy number aberrations, and inferred subclonal structures to demonstrate ITH. Our results showed that KMT2C was the most frequently mutated gene (42%, 5/12 samples), followed by HECTD1, LAMA3, FLG2, UGT2B4, STK33, BRCA2, ACP4, PIK3CA, and DNAH8 (all nine genes tied at 33% frequency, 4/12 samples). Our data indicated that PTEN and FBXW7 mutations may be considered driver gene mutations for IBC. We identified various subclonal structures and different levels of ITH between IBC patients, and mutations in the genes EIF4G3, IL12RB2, and PDE4B may potentially generate ITH in IBC.
format article
author Rui Luo
Weelic Chong
Qiang Wei
Zhenchao Zhang
Chun Wang
Zhong Ye
Maysa M. Abu-Khalaf
Daniel P. Silver
Robert T. Stapp
Wei Jiang
Ronald E. Myers
Bingshan Li
Massimo Cristofanilli
Hushan Yang
author_facet Rui Luo
Weelic Chong
Qiang Wei
Zhenchao Zhang
Chun Wang
Zhong Ye
Maysa M. Abu-Khalaf
Daniel P. Silver
Robert T. Stapp
Wei Jiang
Ronald E. Myers
Bingshan Li
Massimo Cristofanilli
Hushan Yang
author_sort Rui Luo
title Whole-exome sequencing identifies somatic mutations and intratumor heterogeneity in inflammatory breast cancer
title_short Whole-exome sequencing identifies somatic mutations and intratumor heterogeneity in inflammatory breast cancer
title_full Whole-exome sequencing identifies somatic mutations and intratumor heterogeneity in inflammatory breast cancer
title_fullStr Whole-exome sequencing identifies somatic mutations and intratumor heterogeneity in inflammatory breast cancer
title_full_unstemmed Whole-exome sequencing identifies somatic mutations and intratumor heterogeneity in inflammatory breast cancer
title_sort whole-exome sequencing identifies somatic mutations and intratumor heterogeneity in inflammatory breast cancer
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/885ab6ec335d4e03b4834744d638b55f
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