Evidence map›Paper›PMID 42741350›Full record

ArticleFrontiers in medicine2026

Proteomic identification and histopathological validation of candidate biomarkers CA1, HBB, Torsin A, and

Vidyarani Shyamsundar, Soundarya Ravindran, Arvind Krishnamurthy, Divyambika Catakapatri Venugopal, Yasasve Madhavan, Ananthi Sivagnanam, Anju Mayadevi Nair, Sanjana Vimal, Pallavi Kesavan, N Senthil Subramaniyan and 2 more

Abstract read
In one paragraph

Article in Frontiers in medicine, 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

What it found

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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

12 authors.

Vidyarani ShyamsundarDepartment of Cancer Biology and Molecular Diagnostics, Cancer Institute (WIA), Chennai, India.
Soundarya RavindranDepartment of Cancer Biology and Molecular Diagnostics, Cancer Institute (WIA), Chennai, India.
Arvind KrishnamurthyDepartment of Surgical Oncology,Cancer Institute (WIA), Chennai, India.
Divyambika Catakapatri VenugopalDepartment of Oral Medicine and Radiology, Sri Ramachandra Dental College and Hospital, Sri Ramachandra Institute of Higher Education and Research (DU), Chennai, India.
Yasasve MadhavanDepartment of Cancer Biology and Molecular Diagnostics, Cancer Institute (WIA), Chennai, India.
Ananthi SivagnanamDepartment of Cancer Biology and Molecular Diagnostics, Cancer Institute (WIA), Chennai, India.
Anju Mayadevi NairDepartment of Oral Medicine and Radiology, Sri Ramachandra Dental College and Hospital, Sri Ramachandra Institute of Higher Education and Research (DU), Chennai, India.
Sanjana VimalDepartment of Cancer Biology and Molecular Diagnostics, Cancer Institute (WIA), Chennai, India.
Pallavi KesavanDepartment of Cancer Biology and Molecular Diagnostics, Cancer Institute (WIA), Chennai, India.
N Senthil SubramaniyanDepartment of Cancer Biology and Molecular Diagnostics, Cancer Institute (WIA), Chennai, India.
N Aravindha BabuDepartment of Oral and Maxillofacial Pathology, Sree Balaji Dental College and Hospital, Chennai, India.
Vijayalakshmi RamshankarDepartment of Cancer Biology and Molecular Diagnostics, Cancer Institute (WIA), Chennai, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Gingivo-buccal oral squamous cell carcinoma (GB-OSCC) represents one of the most prevalent tobacco-associated malignancies in India and is frequently diagnosed at advanced stages with poor clinical outcomes. Despite the high disease burden, validated specific biomarkers for gingivo-buccal cancers remain limited. The current study aimed to identify and validate protein biomarkers associated with disease progression and aggressive pathological features in GB-OSCC using an integrated proteomic and immunohistochemical (IHC) approach. Methods: Proteomic discovery analysis was performed on pooled fresh-frozen tumor tissues obtained from 40 histologically confirmed GB-OSCC patients categorized into four groups based on clinical stage and treatment outcome: early-stage no evidence of disease (NED), early-stage failure, advanced-stage NED, and advanced-stage failure ( Results: Proteomic analysis identified 37 differentially upregulated proteins associated with tumor progression, cytoskeletal remodeling, metabolic regulation, and angiogenesis. STRING network analysis demonstrated enrichment of proteins involved in glycolysis, apoptosis signaling, keratinization, and cellular regulatory pathways. IHC validation revealed progressive overexpression of CA1, HBB, Torsin A, and Conclusion: This study identifies and validates a subsite-specific protein biomarker panel for gingivo-buccal OSCC in an Indian cohort. The combined overexpression of CA1, HBB, Torsin A, and

Indexed as

biomarkersCA1gingivo-buccal oral squamous cell carcinomaHBBimmunohistochemistryMALDI-TOFOSCCproteomics

Identifiers

PMID42741350
PMCPMC13572669

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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.