The prognostic value of PCNA expression in patients with osteosarcoma: A meta-analysis of 16 studies.

Medicine (Baltimore)

Department of Orthopedics, Shandong Provincial Hospital Affiliated to Shandong University, Jinan Department of Orthopedic Surgery, Laiwu Hospital Affiliated to Taishan Medical College, Laiwu Department of Orthopedics, Zoucheng People's Hospital, Zoucheng Department of Orthopedics, Yankuang Group General Hospital, Zoucheng, Shandong, China Department of Orthopedic Surgery, Physical Medicine and Rehabilitation, University of Munich (LMU), Munich, Germany.

Published: October 2017

Background: Numerous studies have attempted to determine the prognostic role of proliferating cell nuclear antigen (PCNA) expression in patients with osteosarcoma with no consistent conclusion. We performed this meta-analysis to systematically elucidate the association in a more precise manner.The purpose of this meta-analysis is to determine the prognostic role of PCNA in patients with osteosarcoma.

Methods: A systematic search of relevant studies was performed in 6 electronic databases including PubMed, Embase, Web of Science, Wanfang database, China National Knowledge Internet (CNKI) database, and Chinese Biological Medical (CBM) Database (up to March 1, 2016) with the following keywords: (PCNA OR proliferating cell nuclear antigen) AND (osteosarcoma OR osteogenic tumor). A manual search of references on relevant articles was also conducted by 2 investigators independently. We performed a comprehensive evaluation of the correlation between PCNA expression and overall survival (OS) or disease-free survival (DFS) by calculating relative ratios (RR) and their corresponding 95% confidence intervals (CI) using STATA software. A fixed- or random-effect model was chosen based on the between-study heterogeneity.

Results: In total, 16 studies with 691 osteosarcoma patients were included in this meta-analysis. PCNA overexpression was found in approximately 57.31% of the patients with osteosarcoma. The meta-analysis suggested that PCNA overexpression in osteosarcoma patients is associated with low OS, but not significantly with DFS (RR = 1.82, 95% CI 1.53-2.18, P = .000; RR = 1.15, 95% CI 0.91-1.44, P = 0.234). Sensitivity analysis for OS and DFS showed no significant difference and the pooled RRs were stable when the included studies were removed one by one. Similar results were also obtained for subgroup analysis based on different follow-ups and cutoffs to determine PCNA expression.

Conclusion: The findings from this meta-analysis indicate that PCNA overexpression is an effective biomarker for poor prognosis in patients with osteosarcoma for OS. Hence, more large-scale studies are still needed to further warrant this conclusion.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5662318PMC
http://dx.doi.org/10.1097/MD.0000000000008254DOI Listing

Publication Analysis

Top Keywords

patients osteosarcoma
16
pcna expression
12
pcna overexpression
12
expression patients
8
osteosarcoma meta-analysis
8
determine prognostic
8
prognostic role
8
proliferating cell
8
cell nuclear
8
nuclear antigen
8

Similar Publications

Objective: Patients with osteosarcoma (OS) exhibit metastasis upon diagnosis, and the condition frequently acquires resistance to traditional chemotherapy treatments, failing the therapy. The objective of this research was to examine the impact of curculigoside (Cur), a key phenolic compound discovered in the rhizome of C. orchioides Gaertn, on OS cells and the surrounding tumor environment.

View Article and Find Full Text PDF

Perivascular epithelioid cell tumors (PEComas) belong to a family of rare mesenchymal tumors composed of histologically and immunohistochemically distinctive perivascular epithelioid cells. Li-Fraumeni syndrome (LFS), an autosomal dominant cancer predisposition syndrome, is caused by a germline variant of the tumor suppressor gene TP53. Here, we report the case of a 20-year-old woman with LFS who developed a PEComa of the liver.

View Article and Find Full Text PDF

International benchmarking of stage at diagnosis for six childhood solid tumours (the BENCHISTA project): a population-based, retrospective cohort study.

Lancet Child Adolesc Health

February 2025

Developmental Biology and Cancer Research & Teaching Department, UCL Great Ormond Street Institute of Child Health, University College London, London, UK. Electronic address:

Background: International variation in childhood cancer survival might be explained by differences in stage at diagnosis, among other factors. As part of the BENCHISTA project, we aimed to assess geographical variation in tumour stage at diagnosis through the application, by population-based cancer registries working with clinicians, of the international consensus Toronto Childhood Cancer Stage Guidelines.

Methods: This population-based, retrospective cohort study involved 67 cancer registries from 23 European countries, Australia, Brazil, Japan, and Canada.

View Article and Find Full Text PDF

Objective: To investigate the prognostic value of baseline European Association of Nuclear Medicine Research Ltd. (EARL) standardized [F]fluorodeoxyglucose positron emission tomography-computed tomography ([F]FDG PET-CT) quantitative values for survival and to evaluate cutoff values identified in other studies.

Materials And Methods: Pediatric and adolescent patients with high-grade osteosarcoma were included.

View Article and Find Full Text PDF

Although osteosarcomas are the most frequent primary malignant bone tumors, the primary cranial manifestation of this condition is very rare with only a limited number of cases presented in the literature. We present the case of a 20-year-old male patient who underwent single-session surgical intervention for resection of right frontal osteosarcoma with a tailor-made craniotomy and cranioplasty using virtually designed 3D-printed templates and molds. Subsequently, the patient was treated according to the EURAMOS protocol and received adjuvant systemic chemotherapy.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!