Evidence map›Paper›PMID 41392282›Full record

ArticleJournal of experimental & clinical cancer research : CR2025

Targeting E2F8 sensitizes gemcitabine-resistant gallbladder cancer to PARP inhibitors by disrupting RRM2-driven DNA repair.

Xiaojian Ni, Min Li, Wenqing Qiu, Jichang Han, Meng Yu, Shulong Zhang, Bohao Zheng, Jiaqi He, Houbao Liu

Abstract read
In one paragraph

Article in Journal of experimental & clinical cancer research : CR, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Xiaojian Ni *Department of Biliary Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200030, China.
Min Li *Department of Biliary Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200030, China.
Wenqing Qiu *Department of General Surgery, Shanghai Xuhui Central Hospital, Shanghai, 200031, China.
Jichang Han *School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, 310024, China.
Meng YuSchool of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, 310024, China.
Shulong ZhangDepartment of General Surgery, Shanghai Xuhui Central Hospital, Shanghai, 200031, China.
Bohao ZhengDepartment of Biliary Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200030, China.
Jiaqi HeGeneral Surgery, Department of Huadong Hospital, Fudan University, Shanghai, 200040, China. hd_hejiaqi@163.com.
Houbao LiuDepartment of Biliary Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200030, China. zsliuhb@sina.cn.

Funding

Key Medical Discipline Project of Xuhui District SHXHZDXK202304National Natural Science Foundation of China 82072682National Natural Science Foundation of China 82303441Science and Technology Commission of Shanghai Municipality 20DZ2254500Shanghai Natural Science Foundation of China 22ZR1457900the Fujian Natural Science Foundation 2022J05328
6 · The paper itself

Abstract

backgroundGallbladder cancer (GBC) is an aggressive malignancy with limited therapeutic options, primarily due to the frequent emergence of resistance to gemcitabine-based chemotherapy. Uncovering molecular mechanisms underlying this resistance is essential for developing more effective treatments.

methodsGemcitabine-resistant GBC cell lines were generated and subjected to transcriptomic sequencing to identify resistance-associated genes. A genome-wide CRISPR-Cas9 knockout screen was used to pinpoint key genetic regulators. Functional validation was performed through gene knockdown and overexpression, cell viability and apoptosis assays, colony formation, and DNA damage analysis. A high-throughput virtual screening (HTVS) approach was applied to identify small-molecule inhibitors targeting the E2F8-DNA interaction. The efficacy of selected compounds was tested in vitro and in xenograft mouse models, and further validated using patient-derived organoids (PDOs) established from primary and recurrent gallbladder cancers.

resultsThe transcription factor E2F8 was identified as a driver of gemcitabine resistance via upregulation of RRM2, a gene involved in DNA repair. Knockdown of E2F8 enhanced sensitivity to poly (ADP-ribose) polymerase (PARP) inhibitors in resistant GBC cells by impairing DNA repair. HTVS yielded HIT-4, a small-molecule inhibitor that binds to E2F8 and disrupts its interaction with DNA, leading to reduced RRM2 expression. HIT-4 significantly increased apoptosis and DNA damage when combined with PARP inhibitors. In vivo and in PDO models, HIT-4 and PARP inhibitor co-treatment markedly suppressed tumor growth, extended survival, and showed minimal toxicity.

conclusionsThis study identifies the E2F8-RRM2 axis as a key regulator of gemcitabine resistance in GBC and establishes E2F8 as a druggable target. The novel compound HIT-4, in combination with PARP inhibitors, represents a promising therapeutic strategy to overcome chemoresistance and warrants further clinical investigation.

Indexed as

DeoxycytidineDNA RepairDrug Resistance, NeoplasmGallbladder NeoplasmsPoly(ADP-ribose) Polymerase InhibitorsRibonucleoside Diphosphate ReductaseAnimalsCell Line, TumorFemaleGemcitabineHumansMiceXenograft Model Antitumor AssaysDeoxycytidineGemcitabinePoly(ADP-ribose) Polymerase InhibitorsRibonucleoside Diphosphate Reductaseribonucleotide reductase M2DNA damage repairE2F8Gallbladder cancerGemcitabine resistancePARP inhibitorPatient-derived organoidsRRM2

Identifiers

PMID41392282
PMCPMC12822184

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.