z-logo
open-access-imgOpen Access
Deciphering the Transcription Factor Landscape in Prostate Cancer Progression: A Novel Approach to Understand NE Transdifferentiation
Author(s) -
Wang Yu,
Xue Hui,
Zhu Xiaohui,
Lin Dong,
Chen Zheng,
Dong Xin,
Chen Junru,
Shi Mingchen,
Ni Yuchao,
Cao Jonathan,
Wu Rebecca,
Kang Connie,
Pang Xinyao,
Crea Francesco,
Lin YenYi,
Collins Colin C.,
Gleave Martin E.,
Parolia Abhijit,
Chinnaiyan Arul,
Ong Christopher J.,
Wang Yuzhuo
Publication year - 2025
Publication title -
advanced science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.388
H-Index - 100
ISSN - 2198-3844
DOI - 10.1002/advs.202404938
Subject(s) - transdifferentiation , prostate cancer , lineage (genetic) , transcription factor , biology , lncap , cancer research , computational biology , adenocarcinoma , tumor progression , cancer , gene , bioinformatics , cell , genetics
Abstract Prostate cancer (PCa) stands as a leading cause of cancer‐related mortality among men, with treatment‐induced neuroendocrine prostate cancer (NEPC) posing a challenge as an ARPI‐resistant subtype. The role of transcription factors (TFs) in PCa progression and NEPC transdifferentiation remains inadequately understood, underscoring a critical gap in current research. In this study, an internal Z score‐based approach is developed to identify lineage‐specific TF profiles in prostatic adenocarcinoma and NEPC for a nuanced understanding of TF expression dynamics. Distinct TF profiles for adenocarcinoma and NEPC are unveiled, identifying 126 shared TFs, 46 adenocarcinoma‐TFs, and 56 NEPC‐TFs, validated across multiple cohorts. Gene Ontology is employed to validate their biological and functional roles in PCa progression. Implications are revealed in cell development, differentiation, and lineage determination. Knockdown experiments suggest that lineage‐TFs are functionally important in maintaining lineage‐specific cell proliferation. Additionally, a longitudinal study on NE transdifferentiation highlights dynamic TF expression shifts, proposing a three‐phases hypothesis for PCa progression mechanisms. This study introduces a groundbreaking approach for deciphering the TF landscape in PCa, providing a molecular basis for adenocarcinoma to NEPC progression, and paving the way for innovative treatment strategies with potential impact on patient outcomes.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom