Cancer Genetics and Epigenetics 2024, Vol.12, No.2, 79-87 http://medscipublisher.com/index.php/cge 86 Hovelson D., McDaniel A., Cani A., Johnson B., Rhodes K., Williams P., Bandla S., Bien G., Choppa P., Hyland F., Gottimukkala R., Liu G., Manivannan M., Schageman J., Ballesteros-Villagrana E., Grasso C., Quist M., Yadati V., Amin A., Siddiqui J., Betz B., Knudsen K., Cooney K., Feng F., Roh M., Nelson P., Liu C., Beer D., Wyngaard P., Chinnaiyan A., Sadis S., Rhodes D., and Tomlins S., 2015, Development and validation of a scalable next-generation sequencing system for assessing relevant somatic variants in solid tumors12, Neoplasia (New York, N.Y.), 17: 385-399. https://doi.org/10.1016/j.neo.2015.03.004 Imieliński M., and Rubin M., 2017, Prostate cancer: clinical hallmarks in whole cancer genomes, Nature Reviews Clinical Oncology, 14: 265-266. https://doi.org/10.1038/nrclinonc.2017.45 Jaratlerdsiri W., Chan E., Chan E., Gong T., Gong T., Petersen D., Petersen D., Kalsbeek A., Kalsbeek A., Venter P., Stricker P., Bornman M., and Hayes V., 2018, Whole-genome sequencing reveals elevated tumor mutational burden and initiating driver mutations in African men with treatment-naïve, high-risk prostate cancer, Cancer Research, 78(24): 6736-6746. https://doi.org/10.1158/0008-5472.CAN-18-0254 Liang C., Niu L., Xiao Z., Zheng C., Shen Y., Shi Y., and Han X., 2019, Whole-genome sequencing of prostate cancer reveals novel mutation-driven processes and molecular subgroups, Life Sciences, 254: 117218. https://doi.org/10.1016/j.lfs.2019.117218 Liu J., Mao R., Ren G., Liu X., Zhang Y., Wang J., Wang Y., Li M., Qiu Q., Wang L., Liu G., Jin S., Ma L., Ma Y., Zhao N., Yan J., Zhang H., and Lin B., 2019, Whole exome sequencing identifies putative predictors of recurrent prostate cancer with high accuracy, Omics: a Journal of Integrative Biology, 23(8): 380-388. https://doi.org/10.1089/omi.2019.0044 Lohr J., Adalsteinsson V., Cibulskis K., Choudhury A., Rosenberg M., Cruz-Gordillo P., Francis J., Zhang C., Shalek A., Satija R., Trombetta J., Lu D., Tallapragada N., Tahirova N., Kim S., Blumenstiel B., Sougnez C., Lowe A., Wong B., Auclair D., Allen E., Nakabayashi M., Lis R., Lee G., Li T., Chabot M., Ly A., Taplin M., Clancy T., Loda M., Regev A., Meyerson M., Hahn W., Kantoff P., Golub T., Getz G., Boehm J., and Love J., 2014, Whole exome sequencing of circulating tumor cells provides a window into metastatic prostate cancer, Nature Biotechnology, 32: 479-484. https://doi.org/10.1038/nbt.2892 Nakagawa H., 2013, Prostate cancer genomics by high-throughput technologies: genome-wide association study and sequencing analysis, Endocrine-related Cancer, 20(4) R171-181. https://doi.org/10.1530/ERC-13-0113 Nakagawa H., and Fujita M., 2018, Whole genome sequencing analysis for cancer genomics and precision medicine, Cancer Science, 109: 513-522. https://doi.org/10.1111/cas.13505 Nakagawa H., Wardell C., Furuta M., Taniguchi H., and Fujimoto A., 2015, Cancer whole-genome sequencing: present and future, Oncogene, 34: 5943-5950. https://doi.org/10.1038/onc.2015.90 Nauseef J., Elsaeed A., Assaad M., Gundem G., Levine M., Manohar J., Sigouros M., Robinson B., Sboner A., Medina-Martinez J., Molina A., Sternberg C., Elemento O., Tagawa S., Nanus D., and Mosquera J., 2023, Use of a navigable interface for integrated whole genome and transcriptome sequencing as a platform for pursuit of therapeutic targets in advanced prostate cancers, Journal of Clinical Oncology, 225. https://doi.org/10.1200/jco.2023.41.6_suppl.225 Ren S., Wei G., Liu D., Wang L., Hou Y., Zhu S., Peng L., Zhang Q., Cheng Y., Su H., Zhou X., Zhang J., Li F., Zheng H., Zhao Z., Yin C., He Z., Gao X., Zhau H., Chu C., Wu J., Collins C., Volik S., Bell R., Huang J., Wu K., Xu D., Ye D., Yu Y., Zhu L., Qiao M., Lee H., Yang Y., Zhu Y., Shi X., Chen R., Wang Y., Xu W., Cheng Y., Xu C., Gao X., Zhou T., Yang B., Hou J., Liu L., Zhang Z., Zhu Y., Qin C., Shao P., Pang J., Chung L., Xu J., Wu C., Zhong W., Xu X., Li Y., Zhang X., Wang J., Yang H., Wang J., Huang H., and Sun Y., 2017, Whole-genome and transcriptome sequencing of prostate cancer identify new genetic alterations driving disease progression, European urology, 73(3): 322-339. https://doi.org/10.1016/j.eururo.2017.08.027 Robinson D., Allen E., Wu Y., Schultz N., Lonigro R., Mosquera J., Montgomery B., Taplin M., Pritchard C., Attard G., Beltran H., Abida W., Bradley R., Vinson J., Cao X., Vats P., Kunju L., Hussain M., Feng F., Tomlins S., Cooney K., Smith D., Brennan C., Siddiqui J., Mehra R., Chen Y., Rathkopf D., Morris M., Solomon S., Durack J., Reuter V., Gopalan A., Gao J., Loda M., Lis R., Bowden M., Balk S., Gaviola G., Sougnez C., Gupta M., Yu E., Mostaghel E., Cheng H., Mulcahy H., True L., Plymate S., Dvinge H., Ferraldeschi R., Flohr P., Miranda S., Zafeiriou Z., Tunariu N., Mateo J., Perez-Lopez R., Demichelis F., Robinson B., Schiffman M., Nanus D., Tagawa S., Sigaras A., Eng K., Elemento O., Sboner A., Heath E., Scher H., Pienta K., Kantoff P., Bono J., Rubin M., Nelson P., Garraway L., Sawyers C., and Chinnaiyan A., 2015, Integrative clinical genomics of advanced prostate cancer, Cell, 161: 1215-1228. https://doi.org/10.1016/j.cell.2015.05.001 Roychowdhury S., and Chinnaiyan A., 2013, Advancing precision medicine for prostate cancer through genomics, Journal of Clinical Oncology: Official Journal of the American Society of Clinical Oncology, 31(15): 1866-1873. https://doi.org/10.1200/JCO.2012.45.3662 Roychowdhury S., Iyer M., Robinson D., Lonigro R., Wu Y., Cao X., Kalyana-Sundaram S., Kalyana-Sundaram S., Sam L., Balbin O., Quist M., Barrette T., Everett J., Siddiqui J., Kunju L., Navone N., Araujo J., Troncoso P., Logothetis C., Innis J., Smith D., Lao C., Kim S., Roberts J., Gruber S., Pienta K., Talpaz M., and Chinnaiyan A., 2011, Personalized oncology through integrative high-throughput sequencing: a pilot study, Science Translational Medicine, 3: 111ra121-111ra121. https://doi.org/10.1126/scitranslmed.3003161 Rubin M., and Demichelis F., 2018, The genomics of prostate cancer: emerging understanding with technologic advances, Modern Pathology, 31: S1-11. https://doi.org/10.1038/modpathol.2017.166
RkJQdWJsaXNoZXIy MjQ4ODYzNQ==