P16 protein expression as a useful predictive biomarker for neoadjuvant chemotherapy response in patients with high-grade osteosarcoma: A systematic meta-analysis under guideline of PRISMA.

Abstract

BACKGROUND:

Neoadjuvant chemotherapy for patients with high-grade osteosarcoma has highly improved the clinical survival. However, the prognostic and predictive role of P16 expression after neoadjuvant chemotherapy remains unclear. We first determined whether P16 expression can become a potential prognostic and predictive biomarker in high-grade osteosarcoma.

METHODS:

This meta-analysis was conducted based on the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guideline. Eligible studies were pooled and the overall odds ratios (ORs) and hazard ratios (HRs) with the corresponding 95% confidence intervals (95% CIs) were calculated in this analysis.

RESULTS:

Four studies involving a total of 527 patients with high-grade osteosarcoma receiving neoadjuvant chemotherapy were identified. We did not find that P16 expression was correlated with sex status, histologic subtype, and tumor site (P > .1). P16 expression was found to be significantly associated with a "good" response to neoadjuvant chemotherapy (OR = 4.69, P < .001). A significant relationship was observed between p16 expression and pathologic complete response after neoadjuvant chemotherapy using multivariate analysis (OR = 9.63, P = .001). The expression of the P16 was not associated with clinical outcomes in overall survival (OS) and disease-free survival (DFS) by multivariate analysis (OS: P = .448; DFS: P = .263).

CONCLUSIONS:

The use of P16 expression could become a promising predictive biomarker of the response to neoadjuvant chemotherapy in the white population with high-grade osteosarcoma. However, it was not correlated with the prognosis of patients in OS and DFS. More clinical researches are very essential in Asians in the future.

• Authors: Yin Tang, Changchun Yang, Zonghui Guo, Youwei Fu, Xiao Yu, Binggen Liu, Haier Zhou, Junjie Wang, Weilong Li, Qingjiang Pang
• Journal: Medicine (Medicine (Baltimore)) Vol. 96 Issue 19 Pg. e6714 (May 2017) ISSN: 1536-5964 [Electronic] United States
• PMID: 28489748 (Publication Type: Journal Article, Meta-Analysis, Review)

Chemical References

• Biomarkers, Tumor
• CDKN2A protein, human
• Cyclin-Dependent Kinase Inhibitor p16

Topics

• Biomarkers, Tumor (metabolism)
• Bone Neoplasms (drug therapy, metabolism, pathology)
• Chemotherapy, Adjuvant
• Cyclin-Dependent Kinase Inhibitor p16 (metabolism)
• Humans
• Neoadjuvant Therapy
• Neoplasm Grading
• Osteosarcoma (drug therapy, metabolism, pathology)
• Prognosis