Alternative Promoters Drive Transcriptomic Reprogramming and Prognostic Stratification in TNBC
Jit, S.; Jain, K.; Dhingra, L.; Kumar, R.; Bhalla, S.
Show abstract
Transcriptional regulation frequently involves alternative promoters, yet the distinct regulatory mechanisms governing alternative versus reference promoters remain poorly understood in Triple-Negative Breast Cancer (TNBC), a high-risk breast tumor subtype. It is worth emphasizing that, despite the availability of extensive short-read sequencing data, the impact of alternative promoter usage on TNBC transcriptome dynamics and patient survival remains underexplored. The current study leverages RNA sequencing data from the publicly available TNBC tumor samples (360) and adjacent normal samples (88) to identify TNBC-specific and subtype-specific active alternative promoters (AAPs). To further validate these findings, we integrated H3K4me3 ChIP-seq data, confirming key promoter switching events. We found that HDAC9, RPS14, and EPN1 exhibit tumor-specific AAP expression, while AKAP9 and SEC31A show basal subtype-specific promoter activity in TNBC. Beyond their transcriptional impact, we also explored the prognostic significance of AAPs. The alternative promoters of HUWE1 and FTX were recognized as independent survival predictors in TNBC. Notably, multivariate analysis demonstrated that prognostic AAPs remained significant in predicting relapse-free survival (RFS) even after adjusting for copy number alterations (CNA) and mRNA-based subtypes. Our AAP-based prognostic model achieved C-index of 0.73 in training and 0.72 in validation, with AUROC of 0.72 and integrated Brier score of 0.09 in validation dataset. Our findings indicate that AAP activity serves as a crucial prognostic marker beyond traditional clinical parameters, enhancing patient stratification and risk assessment in TNBC. Understanding promoter switching events may further unveil novel therapeutic targets, paving the way for precision oncology strategies in highly aggressive breast tumors.
Matching journals
The top 16 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Whole-miRNome sequencing (WMS) - a panel for targeted sequencing of all human miRNA genes 95%
- Cis-regulatory mutations associate with transcriptional and post-transcriptional deregulation of the gene regulatory program in cancers 94%
- Transcription factor RFX7 governs a tumor suppressor network in response to p53 and stress 94%
Similar papers in this journal
- Prognostic importance of splicing-triggered aberrations of protein complex interfaces in cancer 94%
- CRUX, a platform for visualising, exploring and analysing cancer genome cohort data 94%
- A computational approach for deciphering the interactions between proximal and distal regulators in B cell differentiation 94%
Similar papers in this journal
- Chromatin accessibility landscape and active transcription factors in primary human invasive lobular and ductal breast carcinomas 96%
- Loss of chromosome cytoband 13q14.2 orchestrates breast cancer pathogenesis and drug response 96%
- Development and prognostic validation of a three-level NHG-like deep learning-based model for histological grading of breast cancer 94%
Similar papers in this journal
- METTL3 regulates breast cancer-associated alternative splicing switches 95%
- Loss of EIF4G2 Mediates Aggressiveness in Distinct Human Endometrial Cancer Subpopulations with Poorer Survival Outcome in Patients 94%
- Isoform-specific functions of Numb in breast cancer progression, metastasis and proteome remodeling. 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.