Evidence map›Paper›PMID 41168177›Full record

ArticleNPJ systems biology and applications2025

Alternative Promoters Drive Transcriptomic Reprogramming and Prognostic Stratification in TNBC.

Simran Jit, Kirti Jain, Leepakshi Dhingra, Rahul Kumar, Sherry Bhalla

Abstract read
In one paragraph

Article in NPJ systems biology and applications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Simran Jit *CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), New Delhi, 110025, India.
Kirti Jain *CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), New Delhi, 110025, India.
Leepakshi DhingraCSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), New Delhi, 110025, India.
Rahul KumarDepartment of Biotechnology, Indian Institute of Technology Hyderabad, Sangareddy, Kandi, Hyderabad, 502285, Telangana, India.
Sherry BhallaCSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), New Delhi, 110025, India. sherry.igib@csir.res.in.

Funding

Wellcome Trust DBT India Alliance IA/I/22/1/506773
6 · The paper itself

Abstract

Pre-transcriptional regulation through alternative promoter usage is a critical yet underexplored mechanism influencing gene expression in Triple-Negative Breast Cancer (TNBC), a highly aggressive and heterogeneous breast cancer subtype. While short-read RNA sequencing data are widely available, they offer limited resolution in accurately capturing transcript-level diversity. To overcome this, we focused on promoter-level quantification to infer active promoter usage and investigate transcriptional regulation dynamics in TNBC. Using RNA-seq data from 360 TNBC tumors and 88 adjacent normal tissues, we identified TNBC-specific and subtype-enriched Active Alternative Promoters (AAPs). Integration with H3K4me3 and H3K27ac ChIP-seq data confirmed a key promoter switching event in the HDAC9 gene: the promoter pr1077 was downregulated while another promoter pr1079 was specifically activated in TNBCs. This switch was epigenetically supported by differential enrichment of histone marks, implicating HDAC9 promoter switching as a tumor-specific regulatory mechanism. Further, we identified subtype-specific alternative promoters in TNBC, including basal subtype-enriched activity of SEC31A and reduced promoter usage of AKAP9, which were not reflected at the gene expression level but were evident through promoter-level analysis. Next, we identified alternative promoters of HUWE1 and FTX as independent predictors of relapse-free survival (RFS) in TNBC. Their prognostic value remained significant after adjusting for copy number alterations and transcriptomic subtypes. A 4-feature model integrating these two promoter activities with two clinical variables (Tumor size, Ki67 index) achieved an AUROC of 0.73 and improved patient risk stratification, with a Net Reclassification Improvement (NRI) of 0.40-0.48 over the clinical-only model, underscoring the potential of promoter activity as a biomarker in TNBC.

Indexed as

Promoter Regions, GeneticTranscriptomeTriple Negative Breast NeoplasmsEpigenesis, GeneticFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHistone DeacetylasesHumansPrognosisRepressor ProteinsHDAC9 protein, humanHistone DeacetylasesRepressor Proteins

Identifiers

PMID41168177
PMCPMC12575860

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.