Loss of heterozygosity for chromosomes 16q in Wilms tumors predicts outcomes: A meta-analysis

doi:10.4251/wjgo.v16.i5.2159

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World Journal of Gastrointestinal Oncology

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Meta-Analysis

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.

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

Abstract

BACKGROUND

The research findings suggest that the prognosis of children with Wilms tumor (WT) is affected by various factors. Some scholars have indicated that loss of heterozygosity (LOH) on chromosome 16q is associated with a poor prognosis in patients with WT.

AIM

To further elucidate this relationship, we conducted a meta-analysis.

METHODS

This meta-analysis was registered in INPLASY (INPLASY2023100060). We systematically searched databases including Embase, PubMed, Web of Science, Cochrane, and Google Scholar up to May 31, 2020, for randomized trials reporting any intrapartum fetal surveillance approach. The meta-analysis was performed within a frequentist framework, and the quality and network inconsistency of trials were assessed. Odds ratios and 95%CIs were calculated to report the relationship between event-free survival and 16q LOH in patients with WT.

RESULTS

Eleven cohort studies were included in this meta-analysis to estimate the relationship between event-free survival and 16q LOH in patients with WT (I² = 25%, P < 0.001). As expected, 16q LOH can serve as an effective predictor of event-free survival in patients with WT (risk ratio = 1.95, 95%CI: 1.52–2.49, P < 0.001).

CONCLUSION

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

Keywords: Loss of heterozygosity; Wilms tumor; Survival time; Chromosomes 16q

Core Tip: This study explores the prognostic significance of 16q loss of heterozygosity (LOH) in the treatment of patients with Wilms tumor (WT) in recent years. Utilizing a meta-analysis, the overall predictive value of 16q LOH in patients with WT is assessed. The findings indicate that 16q LOH is associated with a poor prognosis in patients with WT. Following clinical treatment, it is crucial to pay increased attention to patients’ prognostic value while adjusting their survival expectations.