{"title":"结直肠癌临床病理特异性驱动基因的鉴定及遗传分型。","authors":"Jianjiong Li, Chunnian Wang, Changshun Yang, Hua Bao, Ningyou Li, Xianqiang Huang, Wei Gong, Xinyue Hong, Jiani C Yin, Jiaohui Pang, Meifu Gan, Danping Yuan","doi":"10.1111/cas.16432","DOIUrl":null,"url":null,"abstract":"<p><p>This study analyzed targeted sequencing data from 6530 tissue samples from patients with metastatic Chinese colorectal cancer (CRC) to identify low mutation frequency and subgroup-specific driver genes, using three algorithms for overall CRC as well as across different clinicopathological subgroups. We analyzed 425 cancer-related genes, identifying 101 potential driver genes, including 36 novel to CRC. Notably, some genes demonstrated subgroup specificity; for instance, ERBB4 was found as a male-specific driver gene and mutations of ERBB4 only influenced the prognosis of male patients with CRC. This sex disparity of ERBB4 was validated in an independent large-scale Memorial Sloan Kettering Cancer Center CRC cohort with 2444 samples. Furthermore, using network-based stratification based on protein-protein interaction, we classified the microsatellite stable (MSS) and unstable (MSI) CRCs into six and three major subtypes, respectively, each showing unique phenotypes and prognoses. In MSS CRC, cluster 5 (APCAMER1-KRAS) and cluster 2 (RNF43-BRAF-PIK3CA) were predominant, and cluster 5 showed a superior overall survival compared with cluster 2. This extensive heterogeneity in driver gene mutations underscores the complexity of CRC and suggests significant implications for treatment and prognostic assessments.</p>","PeriodicalId":48943,"journal":{"name":"Cancer Science","volume":" ","pages":""},"PeriodicalIF":5.7000,"publicationDate":"2025-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Identification of clinicopathological-specific driver gene and genetic subtyping of colorectal cancer.\",\"authors\":\"Jianjiong Li, Chunnian Wang, Changshun Yang, Hua Bao, Ningyou Li, Xianqiang Huang, Wei Gong, Xinyue Hong, Jiani C Yin, Jiaohui Pang, Meifu Gan, Danping Yuan\",\"doi\":\"10.1111/cas.16432\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>This study analyzed targeted sequencing data from 6530 tissue samples from patients with metastatic Chinese colorectal cancer (CRC) to identify low mutation frequency and subgroup-specific driver genes, using three algorithms for overall CRC as well as across different clinicopathological subgroups. We analyzed 425 cancer-related genes, identifying 101 potential driver genes, including 36 novel to CRC. Notably, some genes demonstrated subgroup specificity; for instance, ERBB4 was found as a male-specific driver gene and mutations of ERBB4 only influenced the prognosis of male patients with CRC. This sex disparity of ERBB4 was validated in an independent large-scale Memorial Sloan Kettering Cancer Center CRC cohort with 2444 samples. Furthermore, using network-based stratification based on protein-protein interaction, we classified the microsatellite stable (MSS) and unstable (MSI) CRCs into six and three major subtypes, respectively, each showing unique phenotypes and prognoses. In MSS CRC, cluster 5 (APCAMER1-KRAS) and cluster 2 (RNF43-BRAF-PIK3CA) were predominant, and cluster 5 showed a superior overall survival compared with cluster 2. This extensive heterogeneity in driver gene mutations underscores the complexity of CRC and suggests significant implications for treatment and prognostic assessments.</p>\",\"PeriodicalId\":48943,\"journal\":{\"name\":\"Cancer Science\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":5.7000,\"publicationDate\":\"2025-01-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cancer Science\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1111/cas.16432\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cancer Science","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1111/cas.16432","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Medicine","Score":null,"Total":0}
Identification of clinicopathological-specific driver gene and genetic subtyping of colorectal cancer.
This study analyzed targeted sequencing data from 6530 tissue samples from patients with metastatic Chinese colorectal cancer (CRC) to identify low mutation frequency and subgroup-specific driver genes, using three algorithms for overall CRC as well as across different clinicopathological subgroups. We analyzed 425 cancer-related genes, identifying 101 potential driver genes, including 36 novel to CRC. Notably, some genes demonstrated subgroup specificity; for instance, ERBB4 was found as a male-specific driver gene and mutations of ERBB4 only influenced the prognosis of male patients with CRC. This sex disparity of ERBB4 was validated in an independent large-scale Memorial Sloan Kettering Cancer Center CRC cohort with 2444 samples. Furthermore, using network-based stratification based on protein-protein interaction, we classified the microsatellite stable (MSS) and unstable (MSI) CRCs into six and three major subtypes, respectively, each showing unique phenotypes and prognoses. In MSS CRC, cluster 5 (APCAMER1-KRAS) and cluster 2 (RNF43-BRAF-PIK3CA) were predominant, and cluster 5 showed a superior overall survival compared with cluster 2. This extensive heterogeneity in driver gene mutations underscores the complexity of CRC and suggests significant implications for treatment and prognostic assessments.
期刊介绍：
Cancer Science (formerly Japanese Journal of Cancer Research) is a monthly publication of the Japanese Cancer Association. First published in 1907, the Journal continues to publish original articles, editorials, and letters to the editor, describing original research in the fields of basic, translational and clinical cancer research. The Journal also accepts reports and case reports.
Cancer Science aims to present highly significant and timely findings that have a significant clinical impact on oncologists or that may alter the disease concept of a tumor. The Journal will not publish case reports that describe a rare tumor or condition without new findings to be added to previous reports; combination of different tumors without new suggestive findings for oncological research; remarkable effect of already known treatments without suggestive data to explain the exceptional result. Review articles may also be published.
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