Evidence mapPaperPMID 41945867Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

NQO1-Mediated Anoikis Resistance and Immune Evasion Define a High-Risk Multi-Omic Subtype for Precision Management of T1 High-Grade Bladder Cancer.

Bin Guo, Chunru Xu, Shufan Fu, Qiang Cheng, Juan Li, Linkuo Shang, Gaojie Li, Yang Yang, Ying Wang, Yanqing Gong and 11 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

21 authors.

Bin GuoChina National Center for Bioinformation, Beijing, China.
Chunru XuDepartment of Urology, Peking University First Hospital, Beijing, China.
Shufan FuDepartment of Urology, Peking University First Hospital, Beijing, China.
Qiang ChengSenior Department of Urology, Chinese PLA General Hospital, Beijing, China.
Juan LiChinese Institutes for Medical Research, Beijing, China.
Linkuo ShangBioscience and Biomedical Engineering Thrust, Systems Hub, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, Guangdong, China.
Gaojie LiChina National Center for Bioinformation, Beijing, China.
Yang YangChina National Center for Bioinformation, Beijing, China.
Ying WangChina National Center for Bioinformation, Beijing, China.
Yanqing GongDepartment of Urology, Peking University First Hospital, Beijing, China.
Shengwei XiongDepartment of Urology, Peking University First Hospital, Beijing, China.
Jian FanDepartment of Urology, Peking University First Hospital, Beijing, China.
Changwei YuanDepartment of Urology, Peking University First Hospital, Beijing, China.
Mei ZhangChina National Center for Bioinformation, Beijing, China.
Yifan ZuoChina National Center for Bioinformation, Beijing, China.
Elena PapaleoTechnical University of Denmark, Department of Health and Technology, Section for Bioinformatics, Cancer Systems Biology, Lyngby, Denmark.
Yue ShiChina National Center for Bioinformation, Beijing, China.
Yuan LiangInstitute for Regenerative Biology and Medicine, Chinese Institutes for Medical Research, Beijing, China.
Xuesong LiDepartment of Urology, Peking University First Hospital, Beijing, China.
Hongzhao LiSenior Department of Urology, Chinese PLA General Hospital, Beijing, China.
Weimin CiChina National Center for Bioinformation, Beijing, China.ORCID https://orcid.org/0000-0002-4111-5360

Funding

National High Level Hospital Clinical Research Funding (High Quality Clinical Research Project of Peking University First Hospital) 2022CR72National Key R&D Program of China 2023YFC2507002National Key R&D Program of China 2023YFC3402704National Natural Science Foundation of China 82103426National Natural Science Foundation of China 82173061National Natural Science Foundation of China 82273350National Natural Science Foundation of China 82341030National Natural Science Foundation of China U23A20460
6 · The paper itself

Abstract

T1 high-grade (T1HG) bladder cancer represents an aggressive subset of non-muscle-invasive bladder cancer (NMIBC) with frequent Bacillus Calmette-Guérin (BCG) failure and a high risk of progression, yet current models inadequately guide treatment selection between early cystectomy and bladder preservation. Integrative multi-omics profiling of 147 tumors identifies two clinically distinct subtypes. A high-risk subtype (T1HG1) is defined by coupled anoikis resistance and immune evasion, exhibiting markedly increased progression rates (>80% vs. <20%), poor BCG responsiveness, and a higher likelihood of cystectomy. NAD(P)H:quinone oxidoreductase 1 (NQO1) is identified as a central regulator linking tumor-intrinsic survival to suppression of macrophage-T cell crosstalk. Elevated NQO1 promotes anoikis resistance and reprograms macrophages toward an immunosuppressive phenotype, limiting CXCL9-mediated T cell recruitment and facilitating immune escape. Pharmacologic inhibition of NQO1 using skullcapflavone II restores apoptotic sensitivity and enhances cisplatin efficacy, resulting in significant tumor suppression with favorable tolerability in preclinical models. A multi-omic machine learning framework for T1HG UCB, termed T1HG-UCBguider, integrating clinical, transcriptomic, and methylation features, enables individualized risk stratification and treatment guidance. Validation across seven independent cohorts, demonstrates robust performance in identifying patients at risk of progression and BCG failure. These findings establish a biologically grounded framework for precision management of T1HG bladder cancer.

Indexed as

AnoikisImmune EvasionNAD(P)H Dehydrogenase (Quinone)Urinary Bladder NeoplasmsAnimalsHumansMiceMultiomicsNon-Muscle Invasive Bladder NeoplasmsPrecision MedicineNAD(P)H Dehydrogenase (Quinone)anoikis resistancebladder‐preserving therapyimmune evasionmulti‐omicsNQO1risk stratificationT1 high‐grade bladder cancer

Identifiers

PMID41945867
PMCPMC13317658

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

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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 Socratic graph.