Evidence mapPaperPMID 41729911Full record

ArticlePloS one2026

Analysis of EGFR signaling pathway; miRNAs and inflammatory biomarkers in a high-risk oral cancer population in Pakistan - An exploratory study.

Namrah Anwar, Shahid Pervez, Tariq Moatter, Mitchell Stark, Qurratulain Chundriger, Tazeen Saeed Ali, Sohail Awan, Annika Antonsson

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Article in PloS one, 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Namrah AnwarDepartment of Pathology and Laboratory Medicine, Aga Khan University Hospital, Karachi, Pakistan.ORCID https://orcid.org/0000-0002-9409-7928
Shahid PervezDepartment of Pathology and Laboratory Medicine, Aga Khan University Hospital, Karachi, Pakistan.
Tariq MoatterDepartment of Pathology and Laboratory Medicine, Aga Khan University Hospital, Karachi, Pakistan.
Mitchell StarkFrazer Institute, The University of Queensland, Dermatology Research Centre, Brisbane, Queensland, Australia.ORCID https://orcid.org/0000-0002-4510-2161
Qurratulain ChundrigerRoyal Blackburn Teaching Hospital East Lancashire Hospitals NHS Trust, Blackburn, UK.ORCID https://orcid.org/0000-0001-5059-911X
Tazeen Saeed AliSchool of Nursing and Midwifery, Aga Khan University Hospital, Karachi, Pakistan.ORCID https://orcid.org/0000-0002-8896-8766
Sohail AwanDepartment of Otolaryngology, Head and Neck Surgery, Aga Khan University Hospital, Karachi, Pakistan.
Annika AntonssonDepartment of Population Health, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.ORCID https://orcid.org/0000-0002-7383-8416

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oral cancer has high morbidity rates in the Asian region, specifically Pakistan. However, little insight is available regarding the molecular pathogenesis and inflammatory biomarkers of this preventable cancer. This study determined the association of EGFR, NFκB, COX-2, and miRNAs expression with the chewing habits and high-risk human papillomavirus (HR-HPV) infection in oral cancer patients. Formalin-fixed paraffin-embedded blocks (FFPE) (n = 50) were analyzed for transcriptional expression of EGFR, NFκB, and COX-2 by qPCR and COX-2 protein expression was checked by immunohistochemistry (IHC). Array profiling of ~2500 miRNAs was performed on nine samples, and five miRNAs were selected for validation from this profiling data. Appropriate statistical tests were applied to check the association of EGFR., NFκB, COX-2, and miRNAs with chewing and HR-HPV status, (p < 0.05 and 95% CI). Of the 50 samples, transcriptional expression of EGFR was observed in 13 (26%), NFκB in 11 (22%), and COX-2 in 17 (34%) samples, and the majority were chewers. EGFR and COX-2 expression was significantly associated with chewing gutka (the most carcinogenic form of chewing substance). A total of 281 miRNAs were dysregulated in miRNA profiling, and in validation, miR-222-3p was significantly downregulated in chewers expressing EGFR, NFκB, and COX-2 compared to non-chewers (p < 0.05). HR-HPV positivity was not correlated with miRNAs. This study suggests a significant association of chewing habits with EGFR and COX-2 expression. In addition, the molecular pathogenesis of OSCC suggests the substantial interplay of NFκB, COX-2, EGFR and miRNAs in chronic chewers, irrespective of HR-HPV involvement.

Indexed as

Biomarkers, TumorErbB ReceptorsMicroRNAsMouth NeoplasmsSignal TransductionAdultCyclooxygenase 2FemaleGene Expression Regulation, NeoplasticHumansMaleMiddle AgedNF-kappa BPakistanPapillomavirus InfectionsBiomarkers, TumorCyclooxygenase 2EGFR protein, humanErbB ReceptorsMicroRNAsNF-kappa B

Identifiers

PMID41729911
PMCPMC12928398

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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 Socratic graph.