Evidence map›Paper›PMID 39376770›Full record

ArticleJournal of maxillofacial and oral surgery2024

Serum Concentration of MMP-9 as a Predictive Biomarker for the Progression of Oral Cancer.

Jyoti Saini, Jaimanti Bakshi, Naresh K Panda, Maryada Sharma, Ashok K Yadav, Kajal Kamboj, Atul Kumar Goyal

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Article in Journal of maxillofacial and oral surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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6citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Jyoti SainiDepartment of Otolaryngology and Head Neck Surgery, Post Graduate Institute of Medical Education and Research, Chandigarh, India.ORCID 0000-0001-6429-5651
Jaimanti BakshiDepartment of Otolaryngology and Head Neck Surgery, Post Graduate Institute of Medical Education and Research, Chandigarh, India.
Naresh K PandaDepartment of Otolaryngology and Head Neck Surgery, Post Graduate Institute of Medical Education and Research, Chandigarh, India.
Maryada SharmaDepartment of Otolaryngology and Head Neck Surgery, Post Graduate Institute of Medical Education and Research, Chandigarh, India.
Ashok K YadavDepartment of Experimental Medicine and Biotechnology, Post Graduate Institute of Medical Education and Research, Chandigarh, India.
Kajal KambojDepartment of Nephrology, Post Graduate Institute of Medical Education and Research, Chandigarh, India.
Atul Kumar GoyalDepartment of Otolaryngology and Head Neck Surgery, Post Graduate Institute of Medical Education and Research, Chandigarh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Oral cancer is the most prominent cancer subtype among all head and neck cancers, the incidence and prevalence of which has been consistently increasing in past years around the globe. At advanced stages, oral cancer imparts significant mortality, morbidity, and mutilation among the patients, and therefore, diagnosis and treatment of the disease at early stages are considered the optimum strategy for the management of the disease. Since molecular changes appear earlier than physical symptoms, several molecular biomarkers are currently being investigated for their role in diagnosing and treating disease. MMP-9 belongs to the family of proteinases that are involved in cytoskeletal degradation, which is a crucial phase of cancer progression. Objective: In the present study, we analyzed the serum concentration of MMP-9 in oral cancer patients and tried to establish MMP-9 as a predictive biomarker for the progression of oral cancer. We also correlated the clinical, sociodemographic and biochemical parameters with the serum concentration of MMP-9 in oral cancer patients. Methods: Serum was extracted from the blood sample of 38 oral cancer patients and was analyzed for the concentration of MMP-9 using sandwiched ELISA. Predesigned proforma was used to capture the clinical, sociodemographic and biochemical parameters. Unpaired t-test was used to compare two means, one way ANOVA was used to compare more than two means and Pearson's correlation was used to correlate the variables. Results: The mean concentration of MMP-9 in patients of oral cancer was 816.9 ± 236.1 ng/mL. The MMP-9 expression level was higher at advanced oral cancer stages than in the early stages. No significant difference in the MMP expression was found in terms of sociodemographic risk factor and tumor site. MMP-9 exhibit significant negative correlation with the HDL and significantly positive correlation with the PTI. Rest of the biochemical parameters does not exhibit significant correlation. Conclusion: The present study suggests that serum concentration of MMP-9 can be a predictive biomarker for the progression of oral cancer, which needs to be validated by performing further longitudinal cross-sectional studies by taking ample sample size.

Indexed as

BiomarkerELISAMatrix metalloproteinasesOral cancerSerum

Identifiers

PMID39376770
PMCPMC11455997

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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.