Evidence mapPaperPMID 41948322Full record

ArticleFrontiers in immunology2026

Rapid establishment of KRAS-driven bladder cancer initiation and immune escape models using genetically engineered mice and organoid approaches.

Guoliang Yang, Yishu Wang, Zhangzhengyi Fan, Guojiang Wei, Xuqing Shen, HeJian Zhang, Mengyao Liu, Bin Yu

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Article in Frontiers in immunology, 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

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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

8 authors.

Guoliang Yang *Department of Urology Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yishu Wang *Department of Neurology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Zhangzhengyi Fan *Department of Urology Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Guojiang Wei *Department of Urology Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xuqing ShenDepartment of Radiation Oncology, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China.
HeJian ZhangDepartment of Urology Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Mengyao LiuDepartment of Urology Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Bin YuState Key Laboratory of Systems Medicine for Cancer, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Bladder cancer is the tenth most common cancer worldwide and the sixth most common among men. However, research into representative tumor models for bladder cancer remains underdeveloped, limiting insights into tumor biology and drug development. Methods: We developed an integrated approach combining a novel gene expression mouse model (GEMM) with advanced organoid technology. This system was tracked longitudinally using single-cell sequencing to monitor tumor evolution and cellular dynamics. Results: Our model accurately recapitulates the single-cell molecular features and cellular communication networks observed in human bladder cancer. It provides a scalable and physiologically relevant platform for preclinical drug screening. Discussion: This integrated framework offers a new platform for studying tumor origin and evolution, overcoming key limitations of conventional systems and advancing bladder cancer research.

Indexed as

OrganoidsProto-Oncogene Proteins p21(ras)Tumor EscapeUrinary Bladder NeoplasmsAnimalsDisease Models, AnimalGenetic EngineeringHumansMiceMice, TransgenicHras protein, mouseProto-Oncogene Proteins p21(ras)bladder cancergenetically engineered mouse model (GEMM)KRAS oncogeneorganoid culturetumor immune escape

Identifiers

PMID41948322
PMCPMC13050906

What Socratic holds

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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.