CGE_2024v12n1

Cancer Genetics and Epigenetics 2024, Vol.12, No.1, 55-65 http://medscipublisher.com/index.php/cge 64 At the same time, ethics and privacy issues also require interdisciplinary teams to jointly discuss and formulate reasonable laws, regulations and ethical guidelines to ensure that while science and technology progress, basic human rights are protected.Artificial intelligence and single-cell RNA sequencing technology bring unlimited possibilities for drug design and tumor heterogeneity research. It is expected that these technologies will play a greater role in the medical field and make greater contributions to human health and well-being in the future. References Alizadeh A., Aranda V., Bardelli A., Blanpain C., Bock C., Borowski C., Caldas C., Califano A., Doherty M., Elsner M., Esteller M., Fitzgerald R., Korbel J., Development, 10: 189-196. Bai R.L., and Cui J.W., 2020, Tumor heterogeneity: the great challenge in precision clinical diagnosis and treatment, Chinese Journal of Clinical Oncology Lichter P., Mason C., Navin N., Pe'er D., Polyak K., Roberts C., Siu L., Snyder A., Stower H., Swanton C., Verhaak R., Zenklusen J., Zuber J., and Zucman-Rossi J., 2015, Toward understanding and exploiting tumor heterogeneity, Nature Medicine, 21: 846-853. https://doi.org/10.1038/nm.3915 PMid:26248267 PMCid:PMC4785013 AlJanahi A., Danielsen M., and Dunbar C., 2018, An introduction to the analysis of Single-cell RNA-sequencing data, Molecular Therapy, Methods & Clinical , 47(21): 1081-1087. Cassidy J., Caldas C., and Bruna A., 2015, Maintaining tumor heterogeneity in patient-derived tumor xenografts, Cancer Research, 75(15): 2963-2969. https://doi.org/10.1158/0008-5472.CAN-15-0727 PMid:26180079 PMCid:PMC4539570 Dagogo-Jack I., and Shaw A., 2018, Tumour heterogeneity and resistance to cancer therapies, Nature Reviews Clinical Oncology, 15: 81-94. https://doi.org/10.1038/nrclinonc.2017.166 PMid:29115304 Ferrall-Fairbanks M.C., Ball M., Padron E., and Altrock P.M., 2019, Leveraging Single-Cell RNA sequencing experiments to model intratumor heterogeneity, https://doi.org/10.1038/nrg.2015.16 JCOClin. Cancer Inform, 3: 1-10. https://doi.org/10.1200/CCI.18.00074 PMid:30995123 PMCid:PMC6873939 Gawad C., Koh W., and Quake S.R., 2016, Single-cell genome sequencing: current state of the science, Nat. Rev. Genet., 17(3): 175-188. PMid:26806412 Heinrich S., Craig A.J., Ma L., Heinrich B., Greten T.F., and Wang X.W., 2021, Understanding tumor cell heterogeneity and its implication for immunotherapy in liver cancer using single-cell analysis, Journal of Hepatology, 74(3): 700-715. https://doi.org/10.1016/j.jhep.2020.11.036 PMid:33271159 Huang M., Long C., and Ma J., 2023, AAFL: automatic association feature learning for gene signature identification of cancer subtypes in single-cell RNA-seq data, Brief Funct. Genomics, 22(5): 420-427. https://doi.org/10.1093/bfgp/elac047 PMid:37122141 He D., Wang D., Lu P., Yang N., Xue Z., Zhu X., Zhang P., and Fan G., 2020, Single-cell RNA sequencing reveals heterogeneous tumor and immune cell populations in early-stage lung adenocarcinomas harboring EGFR mutations, Oncogene, 40: 355-368. https://doi.org/10.1038/s41388-020-01528-0 PMid:33144684 PMCid:PMC7808940 Isoda T., Moore A.J., and He Z., 2017, Non-coding transcription instructs chromatin folding and compartmentalization to dictate enhancer-promoter https://doi.org/10.1038/s41388-019-1127-5 communication and T cell fate, Cell, 171(1): 103-119. https://doi.org/10.1016/j.cell.2017.09.001 PMid:28938112 PMCid:PMC5621651 Janiszewska M., 2020, The microcosmos of intratumor heterogeneity: the space-time of cancer evolution, Oncogene, 39(10): 2031-2039. PMid:31784650 PMCid:PMC7374939 Jacquemin V., Antoine M., Dom G., Detours V., Maenhaut C., and Dumont J.E., 2022, Dynamic cancer cell heterogeneity: diagnostic and therapeutic implications, Cancers, 14(2): 280. https://doi.org/10.3390/cancers14020280 PMid:35053446 PMCid:PMC8773841 Jamal-Hanjani M., Quezada S., Larkin J., and Swanton C., 2015, Translational implications of tumor heterogeneity, Clinical Cancer Research, 21: 1258-1266. Kiselev V., Andrews T., and Hemberg M., 2019, Challenges in unsupervised clustering of single-cell RNA-seq data, Nature Reviews Genetics, 20: 273-282. Luecken M.D., and Theis F.J., 2019, Current best practices in single-cell RNA-seq analysis: a tutorial, Molecular Systems Biology, 15(6): e8746.

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