p53 and Ki-67 as Biomarkers of Tumor Behavior in Squamous Cell Carcinoma: A PRISMA-Based Systematic Review and Meta-Analysis

Background: Oral squamous cell carcinoma (OSCC) is observed to account for most of the malignancies in the oral cavity. This systematic review and meta-analysis aimed to assess whether p53 and Ki-67 expression form a prognostic marker in oral squamous cell carcinoma (OSCC), and its relationships to the lymph node metastasis (LNM) and tumor aggressiveness. Methodology: PubMed, Scopus, Web of Science, and Google Scholar were searched up to the month November 2025. The studies that were included were observational cohort and cross-sectional studies that assessed p53 or Ki-67 expression in immunohistochemistry (IHC) and provided extractable counts of high/low expression and LNM. Titles, abstracts, and full texts were screened by two reviewers, and disagreements were settled by a third reviewer. The risk of bias was also determined based on the Newcastle–Ottawa Scale (NOS) and the certainty of evidence was determined based on a GRADE methodology. Results: There was no statistically significant correlation between the p53 expression and LNM (OR = 6.56; 95% CI: 0.28-155.9; I2 = 89%), indicating that the heterogeneity was high. On the contrary, Ki-67 overexpression was much related to LNM (OR = 5.67; 95% CI: 2.22-14.51; I2 = 35%), and this effect was reported in all studies. The stability of the Ki-67 pooled estimate was validated by the sensitivity analysis, but the results of p53 were sensitive to the elimination of specific studies. Conclusion: Ki-67 overexpression can serve as a predictable prognostic biomarker of metastasis to the lymph node, and p53 outcomes are inconclusive due to the heterogeneity of the methodology.

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Publication Details

Journal
Pakistan Journal of Medicine and Dentistry
Published
2026-04-13
DOI
https://doi.org/10.36283/ziun-pjmd15-2/029
Primary Topic
Head and Neck Cancer Studies
Type
article
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article

p53 and Ki-67 as Biomarkers of Tumor Behavior in Squamous Cell Carcinoma: A PRISMA-Based Systematic Review and Meta-Analysis

Ejaz Ahmed
Pakistan Journal of Medicine and Dentistry
Head and Neck Cancer Studies
article

p53 and Ki-67 as Biomarkers of Tumor Behavior in Squamous Cell Carcinoma: A PRISMA-Based Systematic Review and Meta-Analysis

Ejaz Ahmed
article en

Abstract

Background: Oral squamous cell carcinoma (OSCC) is observed to account for most of the malignancies in the oral cavity. This systematic review and meta-analysis aimed to assess whether p53 and Ki-67 expression form a prognostic marker in oral squamous cell carcinoma (OSCC), and its relationships to the lymph node metastasis (LNM) and tumor aggressiveness. Methodology: PubMed, Scopus, Web of Science, and Google Scholar were searched up to the month November 2025. The studies that were included were observational cohort and cross-sectional studies that assessed p53 or Ki-67 expression in immunohistochemistry (IHC) and provided extractable counts of high/low expression and LNM. Titles, abstracts, and full texts were screened by two reviewers, and disagreements were settled by a third reviewer. The risk of bias was also determined based on the Newcastle–Ottawa Scale (NOS) and the certainty of evidence was determined based on a GRADE methodology. Results: There was no statistically significant correlation between the p53 expression and LNM (OR = 6.56; 95% CI: 0.28-155.9; I2 = 89%), indicating that the heterogeneity was high. On the contrary, Ki-67 overexpression was much related to LNM (OR = 5.67; 95% CI: 2.22-14.51; I2 = 35%), and this effect was reported in all studies. The stability of the Ki-67 pooled estimate was validated by the sensitivity analysis, but the results of p53 were sensitive to the elimination of specific studies. Conclusion: Ki-67 overexpression can serve as a predictable prognostic biomarker of metastasis to the lymph node, and p53 outcomes are inconclusive due to the heterogeneity of the methodology.

Pakistan Journal of Medicine and DentistryVol. 15(2)
International Max Planck Research School for Advanced Methods in Process and Systems Engineering (DE)
Good health and well-being
Openalex Percentile: Top 12%
Head and Neck Cancer Studies
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