Evidence map›Paper›PMID 40854667›Full record

ArticleJournal, genetic engineering & biotechnology2025

In-silico investigation reveals microbial metabolic biomarkers and their regulatory roles in hormone sensitive cancers.

Suvitha Anbarasu, Srujal Kacha, Sudha Ramaiah, Anand Anbarasu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal, genetic engineering & biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Suvitha AnbarasuDepartment of Biotechnology, School of Bioscience and Technology (SBST), Vellore Institute of Technology (VIT), Vellore 632014 Tamil Nadu State, India; Medical and Biological Computing Laboratory, School of Bioscience and Technology (SBST), Vellore Institute of Technology (VIT), Vellore 632014 Tamil Nadu State, India. Electronic address: suvitha.a2022@vitstudent.ac.in.
Srujal KachaDepartment of Biotechnology, School of Bioscience and Technology (SBST), Vellore Institute of Technology (VIT), Vellore 632014 Tamil Nadu State, India; Medical and Biological Computing Laboratory, School of Bioscience and Technology (SBST), Vellore Institute of Technology (VIT), Vellore 632014 Tamil Nadu State, India. Electronic address: srujal.kacha2023@vitstudent.ac.in.
Sudha RamaiahMedical and Biological Computing Laboratory, School of Bioscience and Technology (SBST), Vellore Institute of Technology (VIT), Vellore 632014 Tamil Nadu State, India; Department of Biosciences, School of Bioscience and Technology (SBST), Vellore Institute of Technology (VIT), Vellore 632014 Tamil Nadu State, India. Electronic address: sudhaanand@vit.ac.in.
Anand AnbarasuDepartment of Biotechnology, School of Bioscience and Technology (SBST), Vellore Institute of Technology (VIT), Vellore 632014 Tamil Nadu State, India; Medical and Biological Computing Laboratory, School of Bioscience and Technology (SBST), Vellore Institute of Technology (VIT), Vellore 632014 Tamil Nadu State, India. Electronic address: aanand@vit.ac.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer burden has become a global concern, specifically with hormone-sensitive cancers (HSC). Among the various factors influencing the progress and treatment of cancers, the human microbiota plays a vital role. The current analysis explores the role of microbial metabolites in various regulatory pathways associated with cancer biomarkers and finds the common microbial metabolites associated with HSCs. AR, ESR1, and TP53 in breast cancer; ERBB2, MAPK21, and TP53 in ovarian cancer; AKT1, EGFR, and ERBB2 in endometrial cancer and AR, MYC, and RB1 in prostate cancer were identified as important genes in HSC development. The associated metabolites of these genes were contributing to various regulatory pathways. The metabolites hydrogen peroxide, adenosine triphosphate, adenosine diphosphate, guanosine diphosphate, and guanosine triphosphate produced by microbes within the humans were found to be involved in nucleotide and amino acid metabolism pathways. The purine and pyrimidine metabolism pathways, glyoxylate, and dicarboxylate metabolism pathway, arginine and proline pathway, and glycine, serine, and threonine pathways were found common and significantly enriched between human and microbial metabolites showing close association between the microbial metabolites and the HSCs. The microbes belonging to Bacteroidetes, Proteobacteria, and Firmicutes phylum were found to be significantly associated with HSCs. The expression analysis and the similar pathways enriched between the correlated genes and hub genes validated the significance of the metabolites which can be used as potential biomarkers. Thus, the metabolic biomarkers can help in early diagnosis, targeted therapy based on the microbiome, and in prevention of cancer.

Indexed as

Enrichment analysisMetabolic biomarkerMetabolic pathwaysMicrobiomeNucleotide metabolism

Identifiers

PMID40854667
PMCPMC12354970

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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.