Genomic Signatures of Poor Prognosis in Merkel Cell Carcinoma: A Single-Institution Prospective Study.

IF 4.7 2区 医学 Q2 CELL BIOLOGY
Joshua D Smith, Apurva D Bhangale, Wenjin Gu, Collin Brummel, Elizabeth Gensterblum-Miller, Scott McLean, Paul W Harms, Kelly L Harms, Christopher K Bichakjian, Matthew E Spector, Ryan E Mills, J Chad Brenner
{"title":"Genomic Signatures of Poor Prognosis in Merkel Cell Carcinoma: A Single-Institution Prospective Study.","authors":"Joshua D Smith, Apurva D Bhangale, Wenjin Gu, Collin Brummel, Elizabeth Gensterblum-Miller, Scott McLean, Paul W Harms, Kelly L Harms, Christopher K Bichakjian, Matthew E Spector, Ryan E Mills, J Chad Brenner","doi":"10.1158/1541-7786.MCR-24-1138","DOIUrl":null,"url":null,"abstract":"<p><p>Merkel cell carcinoma (MCC) is an aggressive disease with poor survival outcomes and increasing incidence. There is a clear and present need for enhanced understanding of cellular mechanisms of tumorigenesis, validation of robust genetic signatures predictive of aggressive disease, and novel informatics tools to simplify analysis of Merkel cell polyomavirus (MCPyV)-host genome interactions. Genomic DNA was harvested from 54 MCC tumors for exome sequencing and in-depth genetic profiling of a 226-gene panel. We further developed a robust informatics package (MCPyViewer) optimized for MCPyV integration site analysis with graphical output to simplify usability for end-users. Finally, we assessed the prognostic impact of specific genetic signatures on MCC-specific survival in our cohort. Our study included 54 patients (n = 44 MCPyV-positive), 11 (20.4 %) of which had died of MCC at last follow-up. Human genes altered at high frequency included LRP1B (n = 10, 18.5 %), FAT1 (n = 9, 16.7 %), KMT2D (n = 9, 16.7 %), and RB1 (n = 7, 13.0 %). In 36 of 44 (81.8 %) MCPyV-positive tumors, we identified viral integration into the human genome with a median of two events per tumor. In six tumors, MCPyV integrated into COSMIC Tier 1 or Tier 2 cancer-related human genes. Implications: A combined genomics score incorporating tumor mutational burden and copy number variation was strongly prognostic of MCC-specific survival controlling for lymph node metastases and tumor MCPyV status, thus, our study adds critical understanding to prognostic markers and tumorigenic mechanisms in MCC.</p>","PeriodicalId":19095,"journal":{"name":"Molecular Cancer Research","volume":" ","pages":""},"PeriodicalIF":4.7000,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12336863/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Molecular Cancer Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1158/1541-7786.MCR-24-1138","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CELL BIOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Merkel cell carcinoma (MCC) is an aggressive disease with poor survival outcomes and increasing incidence. There is a clear and present need for enhanced understanding of cellular mechanisms of tumorigenesis, validation of robust genetic signatures predictive of aggressive disease, and novel informatics tools to simplify analysis of Merkel cell polyomavirus (MCPyV)-host genome interactions. Genomic DNA was harvested from 54 MCC tumors for exome sequencing and in-depth genetic profiling of a 226-gene panel. We further developed a robust informatics package (MCPyViewer) optimized for MCPyV integration site analysis with graphical output to simplify usability for end-users. Finally, we assessed the prognostic impact of specific genetic signatures on MCC-specific survival in our cohort. Our study included 54 patients (n = 44 MCPyV-positive), 11 (20.4 %) of which had died of MCC at last follow-up. Human genes altered at high frequency included LRP1B (n = 10, 18.5 %), FAT1 (n = 9, 16.7 %), KMT2D (n = 9, 16.7 %), and RB1 (n = 7, 13.0 %). In 36 of 44 (81.8 %) MCPyV-positive tumors, we identified viral integration into the human genome with a median of two events per tumor. In six tumors, MCPyV integrated into COSMIC Tier 1 or Tier 2 cancer-related human genes. Implications: A combined genomics score incorporating tumor mutational burden and copy number variation was strongly prognostic of MCC-specific survival controlling for lymph node metastases and tumor MCPyV status, thus, our study adds critical understanding to prognostic markers and tumorigenic mechanisms in MCC.

默克尔细胞癌预后不良的基因组特征:一项单机构前瞻性研究。
默克尔细胞癌(MCC)是一种侵袭性疾病,生存率差,发病率增加。目前显然需要加强对肿瘤发生的细胞机制的理解,验证预测侵袭性疾病的强大遗传特征,以及新的信息学工具来简化默克尔细胞多瘤病毒(MCPyV)-宿主基因组相互作用的分析。从54个MCC肿瘤中收集基因组DNA,用于外显子组测序和226个基因面板的深入遗传分析。我们进一步开发了一个强大的信息包(MCPyViewer),优化了MCPyV集成站点分析和图形输出,以简化最终用户的可用性。最后,我们在我们的队列中评估了特定遗传特征对mcc特异性生存的预后影响。本研究纳入54例mcpyv阳性患者(n = 44),其中11例(20.4%)在最后随访时死于MCC。高频改变的人类基因包括LRP1B (n = 10, 18.5%)、FAT1 (n = 9, 16.7%)、KMT2D (n = 9, 16.7%)和RB1 (n = 7, 13.0%)。在44个mcpyv阳性肿瘤中的36个(81.8%)中,我们发现病毒整合到人类基因组中,每个肿瘤中位数为两个事件。在6种肿瘤中,MCPyV整合到COSMIC 1级或2级癌症相关人类基因中。意义:结合肿瘤突变负担和拷贝数变异的基因组学综合评分对控制淋巴结转移和肿瘤MCPyV状态的MCC特异性生存具有很强的预后作用,因此,我们的研究为MCC的预后标志物和致瘤机制提供了重要的理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Molecular Cancer Research
Molecular Cancer Research 医学-细胞生物学
CiteScore
9.90
自引率
0.00%
发文量
280
审稿时长
4-8 weeks
期刊介绍: Molecular Cancer Research publishes articles describing novel basic cancer research discoveries of broad interest to the field. Studies must be of demonstrated significance, and the journal prioritizes analyses performed at the molecular and cellular level that reveal novel mechanistic insight into pathways and processes linked to cancer risk, development, and/or progression. Areas of emphasis include all cancer-associated pathways (including cell-cycle regulation; cell death; chromatin regulation; DNA damage and repair; gene and RNA regulation; genomics; oncogenes and tumor suppressors; signal transduction; and tumor microenvironment), in addition to studies describing new molecular mechanisms and interactions that support cancer phenotypes. For full consideration, primary research submissions must provide significant novel insight into existing pathway functions or address new hypotheses associated with cancer-relevant biologic questions.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信