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PMID: 41303715 Published · epublish English

Two Cohorts, One Network: Consensus Master Regulators Orchestrating Papillary Thyroid Carcinoma.

International journal of molecular sciences ·Vol. 26 ·No. 22 ·2025-11-20

Tapia-Carrillo D, Zambada-Moreno O, Hernández-Lemus E, Tovar H

Abstract

Papillary thyroid carcinoma (PTC) is the most common endocrine malignancy, yet the transcriptional hierarchies linking endocrine signaling to tumor progression remain poorly defined. Here, we integrated gene-expression profiles from two independent cohorts (TCGA-THCA and GSE33630) to identify consensus transcriptional master regulators (TMRs) driving PTC. After normalization and differential expression analysis, we reconstructed regulon networks with ARACNe-AP, inferred TMR activity using VIPER, and integrated evidence across datasets via Fisher's meta-analysis. This cross-cohort strategy yielded 50 shared TMRs, predominantly from the Zinc Finger, Forkhead, ETS, and nuclear receptor families. Network topology highlighted PBX4, GATAD2A, BHLHE40, HEY2, and TEAD4 as upstream regulators controlling other TMRs. Functional enrichment revealed activation of NOTCH, MAPK, PI3K, and TGF-β signaling and enrichment of early and late estrogen-response programs, uncovering a noncanonical role of SMAD9 in TGF-β signaling. Together, these findings delineate the transcriptional and hormonal circuitry underlying thyroid tumorigenesis, providing a regulatory framework for biomarker-driven therapies based on network activity states.

Keywords
TGF-β signaling estrogen signaling gene regulatory networks meta-analysis molecular endocrinology papillary thyroid carcinoma transcriptional master regulators
MeSH 主题词
Humans Thyroid Cancer, Papillary/genetics,pathology,metabolism Thyroid Neoplasms/genetics,pathology,metabolism Gene Regulatory Networks Gene Expression Regulation, Neoplastic Signal Transduction Gene Expression Profiling Transcription Factors/genetics,metabolism Cohort Studies
Article Info
Journal
International journal of molecular sciences
Abbr.
Int J Mol Sci
ISSN
1422-0067
Published
2025-11-20
Language
English
Country/Region
Switzerland
NLM ID
101092791
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