Evidence map›Paper›PMID 39971824›Full record

ArticleDiscover oncology2025

Sample size required for prognostic genes analysis in colorectal cancer.

Chuanhua Zhao, Xiao Lou, Weilu Jia, Zhiyi Wan, Xin Lu, Yuxuan Qiu, Qianru Xu, Kaiyu Jian, Hongyan Zhang, Feng Liang

Abstract read
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Article in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

10 authors.

Chuanhua Zhao *Department of Oncology, the Fifth Medical Center, Chinese PLA General Hospital, Beijing, 100071, China.
Xiao Lou *Department of Hematology, the Fifth Medical Center, Chinese PLA General Hospital, Beijing, 100071, China.
Weilu Jia *Medical School, Southeast University, Nanjing, 210009, China.
Zhiyi WanGenecast Biotechnology Co., Ltd, Wuxi, 214104, China.
Xin LuDepartment of General Surgery, the First Medical Center, Chinese PLA General Hospital, Beijing, 100853, China.
Yuxuan QiuDepartment of General Surgery, the First Medical Center, Chinese PLA General Hospital, Beijing, 100853, China.
Qianru XuDepartment of General Surgery, the First Medical Center, Chinese PLA General Hospital, Beijing, 100853, China.
Kaiyu JianDepartment of General Surgery, the First Medical Center, Chinese PLA General Hospital, Beijing, 100853, China.
Hongyan ZhangDepartment of Oncology, the Fifth Medical Center, Chinese PLA General Hospital, Beijing, 100071, China. 2423126439@qq.com.
Feng LiangDepartment of General Surgery, the First Medical Center, Chinese PLA General Hospital, Beijing, 100853, China. lfpeakcool@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDifferent colorectal cancer (CRC) studies rarely report overlapping prognostic genes. This study aimed to investigate the effects of sample size on prognostic genes analysis in CRC.

methodsWe included 418 CRC cases detected by whole-exome sequencing (WES) in the TCGA PanCancer cohort and 931 CRC cases detected by targeted sequencing in the MSK cohort. Prognostic genes analysis was repeated 200 times at each sample size level using a random resampling method.

resultsFor WES data, the number of prognostic genes increased in a power-law with increasing sample size in CRC cases with stage III and IV. This pattern also applied to CRC patients with stage II after the removal of patients with MSI-H or POLE mutations. However, for targeted sequencing data, the number of prognostic genes increased linearly with increasing sample size in CRC cases with stage III and IV. About 550 cases were required for stage IV CRC to reach the plateau of prognostic genes. In both cohorts, the proportion of true prognostic genes relative to sample size was consistent with a binomial distribution, indicating a significant effect of sample size on the reliability of prognostic genes. At the same sample size level, the number of prognostic genes from the WES data was higher than that from the targeted sequencing data, while the reliability of prognostic genes from the WES data was lower.

conclusionThis study shows the relationship between the number of prognostic genes and sample size in CRC and how mutation data affects this relationship. This will contribute to the trial design for prognostic genetic analysis in CRC.

Indexed as

Colorectal cancerPrognostic genes analysisSample sizeTargeted sequencingWhole-exome sequencing

Identifiers

PMID39971824
PMCPMC11839551

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