Evidence map›Paper›PMID 40726145›Full record

ArticleTurkish journal of surgery2025

Genetic profiling and pathway analysis in bladder carcinoma: Implications for therapeutic targeting.

Sampara Vasishta, Usha Sachidananda Adiga, Alfred J Augustine

Abstract read
In one paragraph

Article in Turkish journal of surgery, 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
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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

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.

Sampara VasishtaDepartment of Biochemistry, Apollo Institute of Medical Sciences and Research Chittoor, Murukambattu, Andhra Pradesh, India.ORCID 0000-0002-5600-6327
Usha Sachidananda AdigaDepartment of Biochemistry, Apollo Institute of Medical Sciences and Research Chittoor, Murukambattu, Andhra Pradesh, India.ORCID 0000-0002-6996-8592
Alfred J AugustineDepartment of Surgery, Apollo Institute of Medical Sciences and Research Chittoor, Murukambattu, Andhra Pradesh, India.ORCID 0000-0002-8393-9843

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Bladder carcinoma represents a significant challenge in oncology due to its heterogeneous molecular nature. This study aimed to identify key genetic factors and molecular pathways involved in bladder carcinoma pathogenesis to facilitate the development of targeted therapies. Material and Methods: The top 30 genes associated with bladder carcinoma were retrieved from the disease gene network database. Comprehensive bioinformatic analysis was performed using various enrichment tools, including gene ontology biological process, cellular component, molecular function analyses, and pathway mapping through WikiPathways and metabolite associations through human metabolome database. Drug interactions were evaluated using DrugMatrix data. Results: Gene ontology analysis revealed significant enrichment of cancer-related biological processes, cellular components, and molecular functions. Pathway analysis identified strong associations with head and neck squamous cell carcinoma, cancer pathways, pleural mesothelioma, endometrial cancer, and bladder cancer pathways. Key genes including Conclusion: This study provides comprehensive insights into the molecular underpinnings of bladder carcinoma, highlighting interconnected pathways and potential therapeutic targets. The significant overlap with other cancer types suggests common oncogenic mechanisms that could be exploited for therapeutic intervention. Further validation of these findings in clinical samples may facilitate the development of personalized treatment approaches for bladder carcinoma patients.

Indexed as

Bladder carcinomagene expressionmolecular oncologypathway analysistherapeutic targets

Identifiers

PMID40726145
PMCPMC12687403

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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.