Evidence map›Paper›PMID 41404236›Full record

ReviewCureus2025

Evaluating Molecular and Immune Biomarkers in Predicting Bladder Cancer Recurrence and Survival: A Systematic Review.

Saad Masood, Abdullah Shaikh, Yasin Brar

Abstract readReview
In one paragraph

Review in Cureus, 2025. 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

3 authors.

Saad MasoodUrology, York and Scarborough Teaching Hospitals NHS Foundation Trust, York, GBR.
Abdullah ShaikhUrology, Indus Medical College and Hospital, Tando Muhammad Khan, PAK.
Yasin BrarGeneral Surgery, Allama Iqbal Medical College, Lahore, PAK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This systematic review comprehensively evaluates current evidence on molecular and biochemical biomarkers for predicting recurrence and prognosis in bladder cancer. A literature search was conducted across PubMed, Scopus, and Web of Science databases up to September 2025, identifying 347 records. After rigorous screening and eligibility assessment, five studies met the inclusion criteria. The included research encompassed a range of biomarker types, including circulating tumor DNA (ctDNA), immune infiltration markers, methylation signatures, systemic inflammatory indices, and gene expression-based predictive models such as COXEN. Despite heterogeneity in study designs, methodologies, and endpoints, consistent findings indicated that integrated molecular profiling substantially improves the prediction of recurrence and disease progression beyond conventional clinicopathologic parameters. Immune and genomic biomarkers showed strong potential for early detection of relapse, while methylation and enzymatic markers provided additional prognostic stratification. Although most studies demonstrated a moderate risk of bias due to exploratory or non-randomized designs, the overall methodological quality was acceptable. The findings underscore the clinical utility of biomarker-guided surveillance and personalized management strategies in bladder cancer, while highlighting the need for large-scale validation and standardization of biomarker assays in future research.

Indexed as

biomarkersbladder cancercoxenctdnaimmune markersmethylationmolecular profilingpredictive modelsprognosisrecurrence

Identifiers

PMID41404236
PMCPMC12703646

What OpenQuestion 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 OpenQuestion graph.