Meta-Analysis
Copyright ©The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastrointest Oncol. May 15, 2024; 16(5): 2159-2167
Published online May 15, 2024. doi: 10.4251/wjgo.v16.i5.2159
Loss of heterozygosity for chromosomes 16q in Wilms tumors predicts outcomes: A meta-analysis
Yuan-Hua Song, Wen-Ling Li, Zhen Yang, Yan Gao, Zhi-Ping Feng
Yuan-Hua Song, Wen-Ling Li, Zhen Yang, Yan Gao, Department of Oncology, Kunming Children's Hospital, Kunming 650103, Yunnan Province, China
Zhi-Ping Feng, Department of Nuclear Medicine, The Third Affiliated Hospital of Kunming Medical University (Yunnan Cancer Hospital), Kunming 650118, Yunnan Province, China
Author contributions: Feng ZP contributed to the conception of the study; Song YH, Li WL, Yang Z and Gao Y performed the experiment; Song YH, Li WL, Yang Z and Gao Y contributed significantly to analysis and manuscript preparation; Song YH performed the data analyses and wrote the manuscript.
Supported by Yunnan Provincial Department of Science and Technology Provincial Basic Research Program (Kunming Medical Joint Special Project, No. 2019FE001 (-276); Kunming Health Science and Technology Talents Training Project and "Ten Hundred Thousands" Project Training Plan, No. 2020-SW (Backup)-121.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
PRISMA 2009 Checklist statement: The authors have read the PRISMA 2009 Checklist, and the manuscript was prepared and revised according to the PRISMA 2009 Checklist.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Zhi-Ping Feng, MS, Doctor, Department of Nuclear Medicine, The Third Affiliated Hospital of Kunming Medical University (Yunnan Cancer Hospital), No. 519 Kunzhou Road, Xishan District, Kunming 650118, Yunnan Province, China. fengzhiping@163.com
Received: November 15, 2023
Peer-review started: November 15, 2023
First decision: January 9, 2024
Revised: February 6, 2024
Accepted: March 12, 2024
Article in press: March 12, 2024
Published online: May 15, 2024
Processing time: 175 Days and 23.9 Hours
ARTICLE HIGHLIGHTS
Research background

Wilms tumor (WT) is a prevalent childhood disease with variable treatment outcomes, primarily attributed to multi-gene mutations. Ongoing research has identified 16q loss of heterozygosity (LOH) as a site deletion linked to a poor prognosis.

Research motivation

The aim is to elucidate the relationship between 16q LOH and WT, providing effective guidance for the clinical treatment of this disease.

Research objectives

The primary objective is to determine whether 16q LOH can serve as a predictive marker for a dismal prognosis in patients with WT, utilizing statistical analysis.

Research methods

The primary objective is to determine whether 16q LOH can serve as a predictive marker for a dismal prognosis in patients with WT, utilizing statistical analysis.

Research results

Eleven cohort studies were evaluated to estimate the relationship between event-free survival and 16q LOH in patients with WT (I2 = 25%, P < 0.001). As expected, 16q LOH emerged as a reliable predictor of event-free survival in patients with WT (risk ratio = 1.95, 95%CI: 1.52–2.49, P < 0.001).

Research conclusions

In pediatric patients with WT, a discernible correlation exists between 16q LOH and an unfavorable treatment prognosis. The clinical detection of chromosome 16q LOH warrants increased attention to the patient’s prognosis.

Research perspectives

Genetic mutations in the 16q LOH locus are indicative of a poor prognosis in patients with WT. However, to establish a clearer relationship between the two factors, conclusive results necessitate a larger sample size, incorporating randomized controlled trial research combined with meta-analysis.