Evidence map›Paper›PMID 41757266›Full record

ArticleFrontiers in genetics2026

Structural pharmacogenomics of drug-associated SNPs in oral squamous cell carcinoma.

Punya Sunil, K C Ananth Kumar, A I Ananthakrishnan, Sebanti Gupta, Ranajit Das

Abstract read
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Article in Frontiers in genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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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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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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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

5 authors.

Punya Sunil *Division of Data Analytics, Bioinformatics and Structural Biology (DABS), Yenepoya Research Centre, Yenepoya (Deemed to be University), Mangalore, Karnataka, India.
K C Ananth Kumar *Division of Data Analytics, Bioinformatics and Structural Biology (DABS), Yenepoya Research Centre, Yenepoya (Deemed to be University), Mangalore, Karnataka, India.
A I AnanthakrishnanDivision of Data Analytics, Bioinformatics and Structural Biology (DABS), Yenepoya Research Centre, Yenepoya (Deemed to be University), Mangalore, Karnataka, India.
Sebanti GuptaDivision of Data Analytics, Bioinformatics and Structural Biology (DABS), Yenepoya Research Centre, Yenepoya (Deemed to be University), Mangalore, Karnataka, India.
Ranajit DasDivision of Data Analytics, Bioinformatics and Structural Biology (DABS), Yenepoya Research Centre, Yenepoya (Deemed to be University), Mangalore, Karnataka, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Pharmacogenomics enables the interpretation of how genetic variation influences drug response, offering a route toward precision oncology. Oral squamous cell carcinoma (OSCC) is a highly aggressive malignancy characterized by marked inter-individual variability in response to chemotherapy and radiotherapy, particularly in South Asian populations. However, the mechanism through which OSCC-associated genetic variants alter protein structure and drug interactions remains poorly understood. Methods: To address this, we integrated OSCC-specific variants from a Southern Indian patient cohort with pharmacogenomic annotations from ClinPGx. First, OSCC variants were mapped to drug-associated single-nucleotide proteins, yielding 22 protein-altering variants. Second, structural availability and functional relevance were used to prioritize eight variants for detailed analysis. Third, homology modeling and molecular docking were applied to evaluate how these variants influence protein conformation and drug binding. Result: This multistep pipeline identified variants in Conclusion: These findings demonstrate how pharmacogenomics-guided structural analysis can reveal mechanistic links between OSCC-associated variants and therapeutic response. While our results are based on

Indexed as

chemoresistanceDNA repair genesoral squamous cell carcinomapersonalized medicinepharmacogenomicssingle-nucleotide polymorphisms

Identifiers

PMID41757266
PMCPMC12935321

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