Evidence map›Paper›PMID 42170678›Full record

ArticleMolecular therapy. Oncology2026

Distinct bile mycobiome signature identifies fungal peptide panel predictive for gallbladder carcinoma.

Sanju Yadav, Nupur Sharma, Manisha Yadav, Neha Sharma, Gaurav Tripathi, Sadam H Bhat, Sushmita Pandey, Babu Mathew, Vasundhra Bindal, Rimsha Saifi and 4 more

Abstract read
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In one paragraph

Article in Molecular therapy. 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.

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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

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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.

Sanju YadavDepartment of Molecular and Cellular Medicine, Institute of Liver and Biliary Sciences, New Delhi, India.
Nupur SharmaDepartment of Molecular and Cellular Medicine, Institute of Liver and Biliary Sciences, New Delhi, India.
Manisha YadavDepartment of Molecular and Cellular Medicine, Institute of Liver and Biliary Sciences, New Delhi, India.
Neha SharmaDepartment of Molecular and Cellular Medicine, Institute of Liver and Biliary Sciences, New Delhi, India.
Gaurav TripathiDepartment of Molecular and Cellular Medicine, Institute of Liver and Biliary Sciences, New Delhi, India.
Sadam H BhatDepartment of Molecular and Cellular Medicine, Institute of Liver and Biliary Sciences, New Delhi, India.
Sushmita PandeyDepartment of Molecular and Cellular Medicine, Institute of Liver and Biliary Sciences, New Delhi, India.
Babu MathewDepartment of Molecular and Cellular Medicine, Institute of Liver and Biliary Sciences, New Delhi, India.
Vasundhra BindalDepartment of Molecular and Cellular Medicine, Institute of Liver and Biliary Sciences, New Delhi, India.
Rimsha SaifiDepartment of Molecular and Cellular Medicine, Institute of Liver and Biliary Sciences, New Delhi, India.
Vipul SharmaDepartment of Molecular and Cellular Medicine, Institute of Liver and Biliary Sciences, New Delhi, India.
Sanyam FalariDepartment of Liver Transplant and Hepato-Pancreato Biliary Surgery, Institute of Liver and Biliary Sciences, New Delhi, India.
Viniyendra PamechaDepartment of Liver Transplant and Hepato-Pancreato Biliary Surgery, Institute of Liver and Biliary Sciences, New Delhi, India.
Jaswinder Singh MarasDepartment of Molecular and Cellular Medicine, Institute of Liver and Biliary Sciences, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Carcinoma of the gallbladder (CAGB) carries a poor prognosis. While alterations in the bile microbiome and lipidome have been linked to CAGB development, the contribution of the fungal microbiome remains unexplored. We investigated fungal microbiome alterations and identified key fungal peptides capable of segregating CAGB patients. Bile samples from gallstone (GS) patients (

Indexed as

carcinomagallbladdergallstoneintegrationmetabolomic profileMT: Regular Issueproteomics

Identifiers

PMID42170678
PMCPMC13188112

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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.