Kumar Sean S, Khandekar Ninad, Dani Komal, Bhatt Saina R, Duddalwar Vinay, D'Souza Anishka
Macon and Joan Brock Virginia Health Sciences Eastern Virginia Medical School at Old Dominion University, Norfolk, Virginia, USA.
Children's Hospital Los Angeles, Los Angeles, California, USA.
Oncology. 2025;103(4):341-350. doi: 10.1159/000541370. Epub 2024 Sep 9.
Previous literature has shown that clear cell renal cell carcinoma (ccRCC) is becoming a more prevalent diagnosis and that the incidence and mortality differ both regionally and racially. While the molecular profiles for ccRCC are studied regionally through biopsy and sequencing techniques, the genomic landscape and ccRCC diversity data are not well studied. We conducted a review of the known genomic data on 6 of the most clinically relevant DNA biomarkers in ccRCC: von Hippel-Lindau (vHL), Polybromo-1 (PBRM1), Breast Cancer Gene 1-Associated Protein 1 (BAP1), Histone-Lysine N-Methyltransferase Domain-Containing 2 (SETD2), Mammalian Target of Rapamycin (mTOR), and Lysine-Specific Demethylase 5C (KDM5C). The review compiled genomic diversity data, incidence, and risk factor differences by geographical and racial cohorts.
The review methodology was created using Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) principles from articles on PubMed and Embase through July 31, 2023, written and published in English, with diagnoses of primary or metastatic ccRCC via cytology or pathology, recorded the incidence of one or more of the 6 biomarkers, explored gene aberration via sequencing, were epidemiological in nature, and/or discussed basic science research, cohort studies, or retrospective studies.
Aberrations in vHL, PBRM1, and SETD2 driving ccRCC are studied frequently, but the data are heterogeneous, whereas there is a paucity in the data regarding KDM5C, PBRM1, and mTOR mutations.
Studying the genetic aberrations that frequently occur in different regions gives insight into what current research lacks. When more genomic landscape research arises, precision therapy, risk calculators, and artificial intelligence may help better prognosticate and individualize treatment for those at risk for ccRCC. Provided the scarcity of existing data, and the rising prevalence of ccRCC, more studies must be conducted at the clinical level.
Previous literature has shown that clear cell renal cell carcinoma (ccRCC) is becoming a more prevalent diagnosis and that the incidence and mortality differ both regionally and racially. While the molecular profiles for ccRCC are studied regionally through biopsy and sequencing techniques, the genomic landscape and ccRCC diversity data are not well studied. We conducted a review of the known genomic data on 6 of the most clinically relevant DNA biomarkers in ccRCC: von Hippel-Lindau (vHL), Polybromo-1 (PBRM1), Breast Cancer Gene 1-Associated Protein 1 (BAP1), Histone-Lysine N-Methyltransferase Domain-Containing 2 (SETD2), Mammalian Target of Rapamycin (mTOR), and Lysine-Specific Demethylase 5C (KDM5C). The review compiled genomic diversity data, incidence, and risk factor differences by geographical and racial cohorts.
The review methodology was created using Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) principles from articles on PubMed and Embase through July 31, 2023, written and published in English, with diagnoses of primary or metastatic ccRCC via cytology or pathology, recorded the incidence of one or more of the 6 biomarkers, explored gene aberration via sequencing, were epidemiological in nature, and/or discussed basic science research, cohort studies, or retrospective studies.
Aberrations in vHL, PBRM1, and SETD2 driving ccRCC are studied frequently, but the data are heterogeneous, whereas there is a paucity in the data regarding KDM5C, PBRM1, and mTOR mutations.
Studying the genetic aberrations that frequently occur in different regions gives insight into what current research lacks. When more genomic landscape research arises, precision therapy, risk calculators, and artificial intelligence may help better prognosticate and individualize treatment for those at risk for ccRCC. Provided the scarcity of existing data, and the rising prevalence of ccRCC, more studies must be conducted at the clinical level.
以往文献表明,透明细胞肾细胞癌(ccRCC)的诊断越来越普遍,其发病率和死亡率在地区和种族上存在差异。虽然通过活检和测序技术在区域层面研究了ccRCC的分子特征,但基因组格局和ccRCC多样性数据尚未得到充分研究。我们对ccRCC中6种最具临床相关性的DNA生物标志物的已知基因组数据进行了综述:冯希佩尔-林道(vHL)、多溴-1(PBRM1)、乳腺癌1号基因相关蛋白1(BAP1)、含组蛋白赖氨酸N-甲基转移酶结构域2(SETD2)、雷帕霉素靶蛋白(mTOR)和赖氨酸特异性去甲基化酶5C(KDM5C)。该综述汇总了按地理和种族队列划分的基因组多样性数据、发病率及风险因素差异。
综述方法依据系统评价与Meta分析的首选报告项目(PRISMA)原则制定,检索了截至2023年7月31日发表在PubMed和Embase上的英文文章,这些文章通过细胞学或病理学诊断为原发性或转移性ccRCC,记录了6种生物标志物中一种或多种的发病率,通过测序探索基因畸变,具有流行病学性质,和/或讨论了基础科学研究、队列研究或回顾性研究。
驱动ccRCC的vHL、PBRM1和SETD2的畸变被频繁研究,但数据存在异质性,而关于KDM5C、PBRM1和mTOR突变的数据较少。
研究不同地区频繁出现的基因畸变有助于了解当前研究的不足。当有更多的基因组格局研究出现时,精准治疗、风险计算器和人工智能可能有助于更好地预测和个体化治疗ccRCC高危人群。鉴于现有数据的稀缺性以及ccRCC患病率的上升,必须在临床层面开展更多研究。
以往文献表明,透明细胞肾细胞癌(ccRCC)的诊断越来越普遍,其发病率和死亡率在地区和种族上存在差异。虽然通过活检和测序技术在区域层面研究了ccRCC的分子特征,但基因组格局和ccRCC多样性数据尚未得到充分研究。我们对ccRCC中6种最具临床相关性的DNA生物标志物的已知基因组数据进行了综述:冯希佩尔-林道(vHL)、多溴-1(PBRM1)、乳腺癌1号基因相关蛋白1(BAP1)、含组蛋白赖氨酸N-甲基转移酶结构域2(SETD2)、雷帕霉素靶蛋白(mTOR)和赖氨酸特异性去甲基化酶5C(KDM5C)。该综述汇总了按地理和种族队列划分的基因组多样性数据、发病率及风险因素差异。
综述方法依据系统评价与Meta分析的首选报告项目(PRISMA)原则制定,检索了截至2023年7月31日发表在PubMed和Embase上的英文文章,这些文章通过细胞学或病理学诊断为原发性或转移性ccRCC,记录了6种生物标志物中一种或多种的发病率,通过测序探索基因畸变,具有流行病学性质,和/或讨论了基础科学研究、队列研究或回顾性研究。
驱动ccRCC的vHL、PBRM1和SETD2的畸变被频繁研究,但数据存在异质性,而关于KDM5C、PBRM1和mTOR突变的数据较少。
研究不同地区频繁出现的基因畸变有助于了解当前研究的不足。当有更多的基因组格局研究出现时,精准治疗、风险计算器和人工智能可能有助于更好地预测和个体化治疗ccRCC高危人群。鉴于现有数据的稀缺性以及ccRCC患病率的上升,必须在临床层面开展更多研究。