Evidence map›Paper›PMID 42399473›Full record

ArticleNPJ precision oncology2026

Proliferation- and cytotoxic immune signatures identify chemotherapy-responsive bladder tumors in a molecular subtype dependent manner.

Aymeric Zadoroznyj, Pontus Eriksson, Carina Bernardo, Lena Tran, Carl-Adam Mattsson, Thomas W Flaig, Roland Seiler, Catherine M Tangen, Peter C Black, Seth P Lerner and 4 more

Abstract read
In one paragraph

Article in NPJ precision 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.

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

14 authors.

Aymeric ZadoroznyjDepartment of Translational Medicine, Lund University, Malmö, Sweden. aymeric.zadoroznyj@med.lu.se.
Pontus ErikssonDivision of Oncology, Department of clinical sciences, Lund University, Lund, Sweden.
Carina BernardoDivision of Oncology, Department of clinical sciences, Lund University, Lund, Sweden.
Lena TranDivision of Oncology, Department of clinical sciences, Lund University, Lund, Sweden.
Carl-Adam MattssonDepartment of Translational Medicine, Lund University, Malmö, Sweden.
Thomas W FlaigDivision of Medical Oncology, University of Colorado School of Medicine, Aurora, CO, USA.
Roland SeilerDepartment for BioMedical Research, Urology Research Laboratory, University of Bern, Bern, Switzerland; Department of Urology, Hospital Center Biel, Spitalzentrum Biel, Biel, Switzerland.
Catherine M TangenSWOG Statistical Center, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Peter C BlackUniversity of British Columbia, Vancouver, BC, Canada.
Seth P LernerScott Department of Urology, Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, TX, USA.
David J McConkeyDepartment of Urology, University of Rochester Medical Center, Rochester, NY, USA.
Mattias HöglundDivision of Oncology, Department of clinical sciences, Lund University, Lund, Sweden.
Fredrik LiedbergDepartment of Translational Medicine, Lund University, Malmö, Sweden.
Gottfrid SjödahlDepartment of Translational Medicine, Lund University, Malmö, Sweden.

Funding

SWOG Statistics & Data Management Center complex - extension supplement for GY06U10CA180819 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI MEGAN OTHUS · 2014 to 2026
$115.2M
European Union's Horizon 2020 research and innovation programme 847583NCI NIH HHS U10 CA180819Swedish Cancer Society CAN 2022/1971
6 · The paper itself

Abstract

Neoadjuvant chemotherapy (NAC) followed by radical cystectomy (RC) has been the standard care for muscle-invasive bladder cancer (MIBC) for two decades. One third of NAC-treated patients achieve pathologic complete response (pT0N0), a proxy for improved survival after RC. Predicting response already at transurethral resection of bladder tumor (TUR-BT) would enable selective use of NAC, minimizing exposure to ineffective therapy. We aimed to identify tumor mRNAs associated with response across multiple transcriptomic studies, prioritizing subsequent biomarkers for validation. Three NAC-treated cohort with tumor transcriptomic profiles were included. Differential mRNA-expression analysis and subtype classification according to the Lund Taxonomy were performed. Within each cohort and subtype, genes were ranked by differential expression, and integrated into a meta rank-score. Survival associations of top genes in the NAC-cohorts were used to select candidate biomarkers for protein validation. Proliferation/late cell-cycle gene predicted response in Urothelial-like subtype and cytotoxic T- and NK-cell-related genes predicted response in Basal/Squamous tumors. These findings were validated by immunostainings for CCNB1 and NKG7, respectively. This integrative framework suggests a complex picture in which two NAC-predictive signals identify responders in a subtype dependent manner. The framework can be updated as new datasets become available, providing dynamic exploration of NAC-predictive biomarkers in MIBC.

Identifiers

PMID42399473
PMCPMC13332042

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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.