Impact of Tumor Grade Distribution on Genetic Alterations in Clear Cell Renal Cell Carcinoma and Prostate Cancer.

IF 2.6 4区 医学 Q2 GENETICS & HEREDITY Cancer Genomics & Proteomics Pub Date : 2024-03-01 DOI:10.21873/cgp.20441
Kosuke Mizutani, Seiji Sugiyama, Koji Kameyama, Shingo Kamei, Shigeaki Yokoi, Akemi Morikawa, Makoto Takeuchi, Kensaku Seike, Toru Yamada, Hidetoshi Ehara, Seiya Sawada, Kouseki Hirade, Hirohito Furuta, Kengo Matsunaga, Tetsuya Yamada, Ippei Sakamoto, Yasutaka Kato, Hiroshi Nishihara, Satoshi Ishihara, Takashi Deguchi
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Abstract

Background/aim: A genomic analysis based on next-generation sequencing is important for deciding cancer treatment strategies. Cancer tissue sometimes displays intratumor heterogeneity and a pathologic specimen may contain more than two tumor grades. Although tumor grades are very important for the cancer prognosis, the impact of higher tumor grade distribution in a specimen used for a genomic analysis is unknown.

Patients and methods: We retrospectively analyzed the data of 61 clear cell carcinoma and 46 prostate cancer patients that were diagnosed between December 2018 and August 2022 using the GeneRead Human Comprehensive Cancer Panel or SureSelect PrePool custom Tier2. Genome annotation and curation were performed using the GenomeJack software.

Results: Tumor mutation burden (TMB) was increased in proportion to the higher tumor grade distribution in grade 2 clear cell renal cell carcinoma (ccRCC). In PC, Grade Group 3/4 specimens that included an increased distribution of Gleason pattern 4 had more frequent gene mutations.

Conclusion: Our results suggest the importance of selecting the maximum distribution of higher tumor grade areas to obtain results on the precise gene alterations for genomics-focused treatments.

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肿瘤分级分布对透明细胞肾细胞癌和前列腺癌遗传变异的影响
背景/目的:基于新一代测序的基因组分析对于决定癌症治疗策略非常重要。癌症组织有时会表现出瘤内异质性,病理标本可能包含两个以上的肿瘤分级。虽然肿瘤分级对癌症预后非常重要,但用于基因组分析的标本中肿瘤分级分布较高的影响尚不清楚:我们使用 GeneRead 人类综合癌症面板或 SureSelect PrePool 定制 Tier2 回顾性分析了 2018 年 12 月至 2022 年 8 月期间确诊的 61 例透明细胞癌和 46 例前列腺癌患者的数据。使用GenomeJack软件进行了基因组注释和整理:在2级透明细胞肾细胞癌(ccRCC)中,肿瘤突变负荷(TMB)随肿瘤分级的增加而增加。在PC中,3/4级组标本中Gleason模式4分布增加,基因突变更频繁:我们的研究结果表明,选择肿瘤分级较高区域的最大分布范围对获得精确的基因改变结果以进行基因组学治疗非常重要。
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来源期刊
Cancer Genomics & Proteomics
Cancer Genomics & Proteomics ONCOLOGY-GENETICS & HEREDITY
CiteScore
5.00
自引率
8.00%
发文量
51
期刊介绍: Cancer Genomics & Proteomics (CGP) is an international peer-reviewed journal designed to publish rapidly high quality articles and reviews on the application of genomic and proteomic technology to basic, experimental and clinical cancer research. In this site you may find information concerning the editorial board, editorial policy, issue contents, subscriptions, submission of manuscripts and advertising. The first issue of CGP circulated in January 2004. Cancer Genomics & Proteomics is a journal of the International Institute of Anticancer Research. From January 2013 CGP is converted to an online-only open access journal. Cancer Genomics & Proteomics supports (a) the aims and the research projects of the INTERNATIONAL INSTITUTE OF ANTICANCER RESEARCH and (b) the organization of the INTERNATIONAL CONFERENCES OF ANTICANCER RESEARCH.
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