Cancer Genetics and Epigenetics 2024, Vol.12, No.3, 125-136 http://medscipublisher.com/index.php/cge 135 Horak, P., Fröhling, S., and Glimm, H., 2016, Integrating next-generation sequencing into clinical oncology: strategies, promises and pitfalls, ESMO Open, 1(5): e000094. https://doi.org/10.1136/esmoopen-2016-000094 Kato S., Kim K., Lim H., Boichard A., Nikanjam M., Weihe E., Kuo D., Eskander R., Goodman A., Galanina N., Fanta P., Schwab R., Shatsky R., Plaxe S., Sharabi A., Stites E., Adashek J., Okamura R., Lee S., Lippman S., Sicklick J., and Kurzrock R., 2020, Real-world data from a molecular tumor board demonstrates improved outcomes with a precision N-of-One strategy, Nature Communications, 11(1): 4965. https://doi.org/10.1038/s41467-020-18613-3 Kensler T., Spira A., Garber J., Szabo E., Lee J., Dong Z., Dannenberg A., Hait W., Blackburn E., Davidson N., Foti M., and Lippman S., 2016, Transforming cancer prevention through precision medicine and immune-oncology, Cancer Prevention Research, 9(1): 2-10. https://doi.org/10.1158/1940-6207.CAPR-15-0406 Kyrochristos I.D., and Roukos D.H., 2019, Comprehensive intra-individual genomic and transcriptional heterogeneity: evidence-based colorectal cancer precision medicine, Cancer Treatment Reviews, 80: 101894. https://doi.org/10.1016/j.ctrv.2019.101894 Lai Q., Spoletini G., Mennini G., Laureiro Z., Tsilimigras D., Pawlik T., and Rossi M., 2020, Prognostic role of artificial intelligence among patients with hepatocellular cancer: a systematic review, World Journal of Gastroenterology, 26(42): 6679. https://doi.org/10.3748/wjg.v26.i42.6679 Malone E., Oliva M., Sabatini P., Stockley T., and Siu L., 2020, Molecular profiling for precision cancer therapies, Genome Medicine, 12: 1-19. https://doi.org/10.1186/s13073-019-0703-1 Marquardt J.U., and Andersen J.B., 2012, Next-generation sequencing: application in liver cancer-past, present and future?, Biology, 1(2): 383-394. https://doi.org/10.3390/biology1020383 Masotti M., Guo B., and Wu B., 2019, Pleiotropy informed adaptive association test of multiple traits using genome-wide association study summary data, Biometrics, 75(4): 1076-1085. https://doi.org/10.1111/biom.13076 Morganti S., Tarantino P., Ferraro E., D Amico P., Viale G., Trapani D., Duso B., and Curigliano G., 2019, Complexity of genome sequencing and reporting: next generation sequencing (NGS) technologies and implementation of precision medicine in real life, Critical Reviews in Oncology/Hematology, 133: 171-182. https://doi.org/10.1016/j.critrevonc.2018.11.008 Moroney J., Trivella J., George B., and White S., 2023, A paradigm shift in primary liver cancer therapy utilizing genomics, molecular biomarkers, and artificial intelligence, Cancers, 15(10): 2791. https://doi.org/10.3390/cancers15102791 Nakagawa H., Fujita M., and Fujimoto A., 2019, Genome sequencing analysis of liver cancer for precision medicine, In Seminars in Cancer Biology, 55: 120-127. https://doi.org/10.1016/j.semcancer.2018.03.004 Qiu Z., Li H., Zhang Z., Zhu Z., He S., Wang X., Wang P., Qin J., Zhuang L., Wang W., Xie F., Gu Y., Zou K., Li C., Wang C., Cen J., Chen X., Shu Y., Zhang Z., Sun L., Min L., Fu Y., Huang X., Lv H., Zhou H., Ji Y., Zhang Z., Meng Z., Shi X., Zhang H., Li Y., and Hui L., 2019, A pharmacogenomic landscape in human liver cancers, Cancer Cell, 36(2): 179-193. https://doi.org/10.1016/j.ccell.2019.07.001 Rodón J., Soria J., Berger R., Miller W., Rubin E., Kugel A., Tsimberidou A., Saintigny P., Ackerstein A., Braña I., Loriot Y., Afshar M., Miller V., Wunder F., Bresson C., Martini J., Raynaud J., Mendelsohn J., Batist G., Onn A., Tabernero J., Schilsky R., Lazar V., Lee J., and Kurzrock R., 2019, Genomic and transcriptomic profiling expands precision cancer medicine: the WINTHER trial, Nature Medicine, 25(5): 751-758. https://doi.org/10.1038/s41591-019-0424-4 Rompianesi G., Pegoraro F., Ceresa C., Montalti R., and Troisi R., 2022, Artificial intelligence in the diagnosis and management of colorectal cancer liver metastases, World Journal of Gastroenterology, 28(1): 108. https://doi.org/10.3748/wjg.v28.i1.108 Saxena S., Jena B., Gupta N., Das S., Sarmah D., Bhattacharya P., Nath T., Paul S., Fouda M., Kalra M., Saba L., Pareek G., and Suri J., 2022, Role of artificial intelligence in radiogenomics for cancers in the era of precision medicine, Cancers, 14(12): 2860. https://doi.org/10.3390/cancers14122860 Shyr D., and Liu Q., 2013, Next generation sequencing in cancer research and clinical application, Biological Procedures Online, 15: 1-11. https://doi.org/10.1186/1480-9222-15-4 Sicklick J., Kato S., Okamura R., Schwaederle M., Hahn M., Williams C., De P., Krie A., Piccioni D., Miller V., Ross J., Ross J., Benson A., Webster J., Stephens P., Lee J., Fanta P., Lippman S., Leyland-Jones B., and Kurzrock R., 2019, Molecular profiling of cancer patients enables personalized combination therapy: the I-PREDICT study, Nature Medicine, 25(5): 744-750. https://doi.org/10.1038/s41591-019-0407-5 Sullivan K.M., Kenerson H.L., Pillarisetty V.G., Riehle K.J., and Yeung R.S., 2018, Precision oncology in liver cancer, Annals of Translational Medicine, 6(14): 285. https://doi.org/10.21037/atm.2018.06.14 Tsimberidou A., Hong D., Fu S., Karp D., Piha-Paul S., Kies M., Ravi V., Subbiah V., Patel S., Tu S., Janku F., Heymach J., Johnson A., Zhang J., Berry D., Vining D., Futreal A., Miller V., Meric-Bernstam F., and Zhao L., 2021, Precision medicine: preliminary results from the initiative for molecular profiling and advanced cancer therapy 2 (IMPACT2) study, NPJ Precision Oncology, 5(1): 21. https://doi.org/10.1038/s41698-021-00159-2
RkJQdWJsaXNoZXIy MjQ4ODYzNQ==