Metadata record for the article: Whole-exome sequencing identifies somatic mutations and intratumor heterogeneity in inflammatory breast cancer

  • Rui Luo (Creator)
  • Weelic Chong (Contributor)
  • Q. Wei (Creator)
  • Zhenchao Zhang (Contributor)
  • Chun Wang (Creator)
  • Zhong Ye (Creator)
  • Maysa Abu-Khalaf (Creator)
  • Daniel P. Silver (Creator)
  • Robert T. Stapp (Creator)
  • Wei Jiang (Creator)
  • Ronald E. Myers (Creator)
  • Bingshan Li (Contributor)
  • Massimo Cristofanilli (Creator)
  • Hushan Yang (Contributor)
  • Zhang Zhenchao (Contributor)

Dataset

Description

Summary This metadata record provides details of the data supporting the claims of the related article: “Whole-exome sequencing identifies somatic mutations and intratumor heterogeneity in inflammatory breast cancer”. The related study aimed to obtain a better understanding of the genomic landscape and intratumour heterogeneity (ITH) in inflammatory breast cancer (IBC) by conducting whole-exome sequencing of 16 tissue samples (12 tumour and four normal) from six hormone-receptor positive IBC patients, analysing somatic mutations and copy number aberrations, and inferring subclonal structures to demonstrate ITH. Type of data: whole exome sequencing Subject of data: Homo sapiens Sample size: 6 Population characteristics: The participants' demographic and clinical characteristics including age, gender, hormone receptors status, HER2 status, tumour grade were collected. Recruitment: Patients in the discovery cohort were recruited from Thomas Jefferson University Hospital from 1993 to 2012. All the patients were IBC patients. Data access Release of full genetic sequencing data was not included in the IRB protocol. Thus, only sequencing data related to the related article have been released, and these data have been deposited in NCBI Sequence Read Archive (SRA) with the accession code https://identifiers.org/ncbi/bioproject:PRJNA713359. Additional files underlying the figures and supplementary figures of the related article are available as part of this figshare data record, and a list of which file underlies which figure/supplementary figure is included in the file ‘Luo_et_al_2021_underlying_data_files_list.xlsx’. Corresponding author(s) for this study Hushan Yang, PhD, Department of Medical Oncology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA 19107, USA. Tel: 215-503-6521; Fax: 215-503-9506; Email: hushan.yang@jefferson.edu. Study approval This study was approved by the Institutional Review Board of Thomas Jefferson University.
Date made available2021
Publisherfigshare

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