Evidence map›Paper›PMID 42444804›Full record

ArticleFrontiers in oncology2026

An integrative coding and non-coding SNPs analysis of the

Pooja Singh, Pallavi Somvanshi

Abstract read
In one paragraph

Article in Frontiers in 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.

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

2 authors.

Pooja SinghSchool of Computational & Integrative Sciences (SCIS), Jawaharlal Nehru University, New Delhi, India.
Pallavi SomvanshiSchool of Computational & Integrative Sciences (SCIS), Jawaharlal Nehru University, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: By creating intramembrane tight-junction barriers, claudin-3 ( Methods: In this study, Results and discussion: Using SIFT, PolyPhen-2, and SNPs&GO, we first assessed 140 non-synonymous SNPs (nsSNPs). Out of these, 29 were consistently predicted as high-priority pathogenic by all three tools. Stability analysis based on ΔΔG using I-Mutant 2.0 and MUpro identified six corensSNPs that were stabilized after mutation and were predicted to impair protein function by MutPred2. Among them, N140I and Y147C lie near the Conclusion: These comprehensively identified

Indexed as

CLDN-3coding and non-coding SNPsgynaecological cancershigh-priority variantin-silicotight junction protein

Identifiers

PMID42444804
PMCPMC13357936

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.