Evidence map›Paper›PMID 41429980›Full record

ArticleCell death & disease2025

Unveiling the ZNF384-INTS13-hnRNPC axis as a therapeutic vulnerability in cervical cancer.

Juan Wang, Shuang Liu, Ping Li, Yasser Perera Negrin, Fang-Rong Shen, Rong Ma

Abstract read
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Article in Cell death & disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Juan Wang *Department of Obstetrics and Gynecology, the First Affiliated Hospital of Soochow University, Suzhou, China.
Shuang Liu *Department of Gynecology, Harbin Medical University Cancer Hospital, Harbin, China.
Ping Li *Department of Radiotherapy and Oncology, Affiliated Kunshan Hospital of Jiangsu University, Kunshan, China.ORCID http://orcid.org/0000-0001-8946-9945
Yasser Perera NegrinResearch Department, China-Cuba Biotechnology Joint Innovation Center, Yongzhou, China.
Fang-Rong ShenDepartment of Obstetrics and Gynecology, the First Affiliated Hospital of Soochow University, Suzhou, China. shenfr@suda.edu.cn.ORCID http://orcid.org/0000-0003-4054-9623
Rong MaDepartment of Gynecology, Harbin Medical University Cancer Hospital, Harbin, China. 600543@hrbmu.edu.cn.ORCID http://orcid.org/0009-0009-2060-9853

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cervical cancer remains a major global health burden, necessitating the identification of novel therapeutic targets to overcome the limitations of current treatments. Here, we comprehensively investigated the role of integrator complex subunit 13 (INTS13) in cervical cancer progression. Our analysis of publicly available The Cancer Genome Atlas (TCGA) datasets revealed that INTS13 is significantly overexpressed in cervical cancer tissues across various histological subtypes, correlating with advanced tumor T-stage and predicting poorer overall survival. Single-cell RNA sequencing further localized INTS13 expression predominantly to malignant epithelial cells within the tumor microenvironment, where its expression correlated with genes involved in critical cellular processes. Furthermore, elevated expression has been observed in cervical cancer tissues from surgically-treated patients and in various primary human cervical cancer cells. In vitro functional studies demonstrated that genetic silencing or CRISPR/Cas9-mediated knockout of INTS13 significantly inhibited the proliferation, migration, and invasion of primary cervical cancer cells, while selectively inducing apoptosis. Conversely, ectopic INTS13 overexpression markedly enhanced these malignant phenotypes. Mechanistically, we identified heterogeneous nuclear ribonucleoprotein C (hnRNPC) as a critical downstream effector, with INTS13 regulating hnRNPC expression, and the restoration of hnRNPC effectively reversing the anti-cervical cancer effects observed upon INTS13 silencing. Furthermore, the transcription factor ZNF384 (zinc finger protein 384) was identified as an upstream regulator that directly binds to and positively governs INTS13 expression. Finally, in vivo animal models confirmed that targeted silencing of INTS13 significantly impeded cervical cancer xenograft growth in nude mice, reduced cellular proliferation, and augmented apoptosis, consistently accompanied by a reduction in hnRNPC expression. These findings collectively establish INTS13 as a crucial precancerous gene in cervical cancer, promoting malignant phenotypes primarily through the ZNF384-INTS13-hnRNPC signaling axis.

Indexed as

Uterine Cervical NeoplasmsAnimalsApoptosisCell Line, TumorCell MovementCell ProliferationFemaleGene Expression Regulation, NeoplasticHumansMiceMice, NudeTumor Microenvironment

Identifiers

PMID41429980
PMCPMC12749084

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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.