Evidence map›Paper›PMID 40287406›Full record

ArticleCell death discovery2025

Heightened IDO1 levels predict Bacillus Calmette-Guèrin failure in high-risk non-muscle-invasive bladder cancer patients.

Alice Turdo, Gabriele Tulone, Sebastiano Di Bella, Gaetana Porcelli, Caterina D'Accardo, Miriam Gaggianesi, Chiara Modica, Simone Di Franco, Francesca Angeloro, Giulia Bozzari and 9 more

Abstract read
In one paragraph

Article in Cell death discovery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
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  6. Review
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

19 authors.

Alice Turdo *Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, University of Palermo, Palermo, Italy.ORCID http://orcid.org/0000-0002-6152-4903
Gabriele Tulone *Department of Precision Medicine in Medical, Surgical, and Critical Areas, University of Palermo, Palermo, Italy.
Sebastiano Di BellaDepartment of Precision Medicine in Medical, Surgical, and Critical Areas, University of Palermo, Palermo, Italy.
Gaetana PorcelliDepartment of Precision Medicine in Medical, Surgical, and Critical Areas, University of Palermo, Palermo, Italy.
Caterina D'AccardoDepartment of Precision Medicine in Medical, Surgical, and Critical Areas, University of Palermo, Palermo, Italy.
Miriam GaggianesiDepartment of Precision Medicine in Medical, Surgical, and Critical Areas, University of Palermo, Palermo, Italy.
Chiara ModicaDepartment of Precision Medicine in Medical, Surgical, and Critical Areas, University of Palermo, Palermo, Italy.
Simone Di FrancoDepartment of Precision Medicine in Medical, Surgical, and Critical Areas, University of Palermo, Palermo, Italy.
Francesca AngeloroDepartment of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, University of Palermo, Palermo, Italy.
Giulia BozzariDepartment of Precision Medicine in Medical, Surgical, and Critical Areas, University of Palermo, Palermo, Italy.
Vincenzo Davide PantinaDepartment of Precision Medicine in Medical, Surgical, and Critical Areas, University of Palermo, Palermo, Italy.
Melania Lo IaconoDepartment of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, University of Palermo, Palermo, Italy.
Cristina MinasolaDepartment of Precision Medicine in Medical, Surgical, and Critical Areas, University of Palermo, Palermo, Italy.
Rosa GiaimoDepartment of Precision Medicine in Medical, Surgical, and Critical Areas, University of Palermo, Palermo, Italy.
Anna MartoranaDepartment of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, University of Palermo, Palermo, Italy.
Nicola PavanDepartment of Precision Medicine in Medical, Surgical, and Critical Areas, University of Palermo, Palermo, Italy.
Matilde TodaroDepartment of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, University of Palermo, Palermo, Italy.
Alchiede SimonatoDepartment of Precision Medicine in Medical, Surgical, and Critical Areas, University of Palermo, Palermo, Italy. Alchiede.simonato@unipa.it.ORCID http://orcid.org/0000-0001-9513-4869
Giorgio StassiDepartment of Precision Medicine in Medical, Surgical, and Critical Areas, University of Palermo, Palermo, Italy. giorgio.stassi@unipa.it.ORCID http://orcid.org/0000-0002-1016-9059

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent studies have indicated a potential link between immune-related gene expression and Bacillus Calmette-Guèrin (BCG) treatment response in non-muscle-invasive bladder cancer (NMIBC) patients, however, prognostic gene signatures have not significantly improved risk stratification beyond clinical characteristics. To identify predictive biomarkers in T1 high-risk (HR) bladder cancer (BC) patients responding to BCG treatment, a gene signature was derived from a discovery cohort of 73 BCG-naïve patients, both responders and non-responders, using the publicly available dataset GSE1542618. Among the identified genes, Indoleamine 2,3-dioxygenase (IDO1), an immunosuppressive enzyme, emerged as a crucial determinant of treatment outcomes. The association between IDO1 expression and worse prognosis was subsequently validated in a cohort of 75 BC patients using formalin-fixed paraffin-embedded (FFPE) BC specimens collected prior BCG treatment. This research revealed significant insights into the mechanisms underlying unsatisfactory responses to BCG treatment in HR patients, posing IDO1 as a promising prognostic biomarker and therapeutic target for NMIBC.

Identifiers

PMID40287406
PMCPMC12033280

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.