4.5 Article

Chromatin accessibility landscape and active transcription factors in primary human invasive lobular and ductal breast carcinomas

期刊

BREAST CANCER RESEARCH
卷 24, 期 1, 页码 -

出版社

BMC
DOI: 10.1186/s13058-022-01550-y

关键词

Invasive lobular breast carcinoma; Invasive ductal breast carcinoma; Differential chromatin accessibility landscape; EGR; SOX; TEAD; FOX family transcription factors; Transcriptional regulation

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资金

  1. NIH [R00CA207871]
  2. University of Pittsburgh Center for Research Computing and the Extreme Science and Engineering Discovery Environment (XSEDE) - National Science Foundation [OCI-1053575]
  3. NSF at the Pittsburgh Supercomputing Center [ACI-1445606]

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This study characterizes the differences in genome-wide chromatin accessibility between invasive lobular breast carcinoma (ILC) and invasive ductal carcinoma (IDC), revealing distinct epigenomic features and the active transcription factors (TFs) driving cancer progression in these two subtypes.
Background Invasive lobular breast carcinoma (ILC), the second most prevalent histological subtype of breast cancer, exhibits unique molecular features compared with the more common invasive ductal carcinoma (IDC). While genomic and transcriptomic features of ILC and IDC have been characterized, genome-wide chromatin accessibility pattern differences between ILC and IDC remain largely unexplored. Methods Here, we characterized tumor-intrinsic chromatin accessibility differences between ILC and IDC using primary tumors from The Cancer Genome Atlas (TCGA) breast cancer assay for transposase-accessible chromatin with sequencing (ATAC-seq) dataset. Results We identified distinct patterns of genome-wide chromatin accessibility in ILC and IDC. Inferred patient-specific transcription factor (TF) motif activities revealed regulatory differences between and within ILC and IDC tumors. EGR1, RUNX3, TP63, STAT6, SOX family, and TEAD family TFs were higher in ILC, while ATF4, PBX3, SPDEF, PITX family, and FOX family TFs were higher in IDC. Conclusions This study reveals the distinct epigenomic features of ILC and IDC and the active TFs driving cancer progression that may provide valuable information on patient prognosis.

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