International Journal of Molecular Medical Science, 2024, Vol.14, No.5, 293-304 http://medscipublisher.com/index.php/ijmms 304 Price C., Chen J., Pelka K., Chao S., Therrien M., Wiggin T., Fernandez N., He J., Emanuel G., Boland G., and Hacohen N., 2022, A single-cell spatially resolved map of colorectal cancer identifies novel spatial relationships between cancer cells and the microenvironment, Cancer Research, 82(12S): 2030. https://doi.org/10.1158/1538-7445.am2022-2030 Rodrigues J., Heinrich M.A., Teixeira L.M., and Prakash J., 2021, 3D in vitro model (R) evolution: unveiling tumor–stroma interactions, Trends in Cancer, 7(3): 249-264. https://doi.org/10.1016/j.trecan.2020.10.009 Romero-López M., Trinh A., Sobrino A., Hatch M., Keating M., Fimbres C., Lewis D., Gershon P., Botvinick E., Digman M., Lowengrub J., and Hughes C., 2017, Recapitulating the human tumor microenvironment: colon tumor-derived extracellular matrix promotes angiogenesis and tumor cell growth, Biomaterials, 116: 118-129. https://doi.org/10.1016/j.biomaterials.2016.11.034 Thrane K., Eriksson H., Maaskola J., Hansson J., and Lundeberg J., 2018, Spatially resolved transcriptomics enables dissection of genetic heterogeneity in stage III cutaneous malignant melanoma, Cancer Research, 78(20): 5970-5979. https://doi.org/10.1158/0008-5472.CAN-18-0747 Trigos A., Yang T., Feng Y., Ozcoban V., Doyle M., Pasam A., Kocovski N., Pizzolla A., Huang Y., Bass G., Keam S., Speed T., Neeson P., Sandhu S., and Goode D., 2020, 668 a toolkit for the quantitative analysis of the spatial distribution of cells of the tumor immune microenvironment, J Immunother Cancer, 8(S3): A400-A401. https://doi.org/10.1136/jitc-2020-sitc2020.0668 Tsimberidou A.M., Fountzilas E., Bleris L., and Kurzrock R., 2022, Transcriptomics and solid tumors: the next frontier in precision cancer medicine, Seminars in Cancer Biology, 84: 50-59. https://doi.org/10.1016/j.semcancer.2020.09.007 Uttam S., Stern A., Sevinsky C., Furman S., Pullara F., Spagnolo D., Nguyen L., Gough A., Ginty F., Taylor D., and Chennubhotla C., 2020, Spatial domain analysis predicts risk of colorectal cancer recurrence and infers associated tumor microenvironment networks, Nature Communications, 11(1): 3515. https://doi.org/10.1038/s41467-020-17083-x Wang N., Li X., Wang R., and Ding Z, 2021, Spatial transcriptomics and proteomics technologies for deconvoluting the tumor microenvironment, Biotechnology Journal, 16(9): 2100041. https://doi.org/10.1002/biot.202100041 Wang P., He H., Zhang Q., Wang J., Lu D., Duan F., Fan Q., Gu Q., and Ji Q., 2022, Establishment of spatial transcriptomics assay to study the mechanism of immune therapy against tumors, Cancer Research, 82(12S): 6128. https://doi.org/10.1158/1538-7445.am2022-6128 Wei R., Liu S., Zhang S., Min L., and Zhu S., 2020, Cellular and extracellular components in tumor microenvironment and their application in early diagnosis of cancers, Analytical Cellular Pathology, 2020(1): 6283796. https://doi.org/10.1155/2020/6283796 Wu R., Guo W., Qiu X., Wang S., Sui C., Lian Q., Wu J., Shan Y., Yang Z., Yang S., Wu T., Wang K., Zhu Y., Wang S., Liu C., Zhang Y., Zheng B., Li Z., Zhang Y., Shen S., Zhao Y., Wang W., Bao J., Hu J., Wu X., Jiang X., Wang H., Gu J., and Chen L., 2021, Comprehensive analysis of spatial architecture in primary liver cancer, Science Advances, 7(51): eabg3750. https://doi.org/10.1126/sciadv.abg3750 Yu Q., Jiang M., and Wu L., 2022, Spatial transcriptomics technology in cancer research, Frontiers in Oncology, 12: 1019111. https://doi.org/10.3389/fonc.2022.1019111
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