Evidence map›Paper›PMID 41869651›Full record

ArticleFrontiers in oncology2026

Patient-derived d-MMR/MSI phenotype urachal cancer organoids for personalized drug screening.

Kuangen Zhang, Xinyi Li, Zhenting Zhang, Ning Zhang, Xin Yao, Rong Liu

Abstract read
In one paragraph

Article in Frontiers in oncology, 2026. 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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0citing papers in PubMed
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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

6 authors.

Kuangen Zhang *Translational Cancer Research Center, First Hospital, Peking University, Beijing, China.
Xinyi Li *Department of Immunology, Peking University Health Science Center, Beijing, China.
Zhenting ZhangDepartment of Genitourinary Oncology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
Ning ZhangTranslational Cancer Research Center, First Hospital, Peking University, Beijing, China.
Xin YaoDepartment of Genitourinary Oncology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
Rong LiuTranslational Cancer Research Center, First Hospital, Peking University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Urachal cancer (UrC) is a rare, aggressive malignancy typically diagnosed at advanced stages, where systemic treatment becomes necessary. However, cytotoxic chemotherapy offers limited efficacy, and prospective clinical trials are exceedingly difficult due to the rarity of the disease. Thus, robust Methods: Fresh UrC tumor samples were collected from patients undergoing en bloc resection and cultured to generate PDOs. These organoids were subjected to drug screening using standard chemotherapeutic agents. Whole-exome sequencing (WES) and RNA sequencing (RNA-seq) were conducted to compare the molecular profiles of the PDOs with their corresponding parental tumors. Associations between drug responses and genomic/transcriptomic features were analyzed. Student's Results: The established d-MMR/MSI phenotype UrC PDOs faithfully reproduced the genomic and transcriptomic landscapes of the original tumors, including intratumoral heterogeneity, and demonstrated consistent drug response profiles. Molecular characterization further revealed actionable targets within the RAS/MAPK and PI3K/AKT/mTOR pathways, as well as immune-related targets such as PD-L1. These findings highlight the utility of PDOs in modeling rare cancers and guiding personalized therapeutic strategies. Conclusions: d-MMR/MSI phenotype UrC PDOs recapitulate the phenotypic and molecular features of their parental tumors, capturing critical heterogeneity. As such, they represent a valuable platform for reflecting treatment responses, investigating resistance mechanisms, and developing individualized therapeutic regimens.

Indexed as

d-MMR/MSI phenotypedrug screeningorganoidpersonalized medicineurachal cancer

Identifiers

PMID41869651
PMCPMC12999449

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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.