Table_3_Multidimensional Analyses of Tumor Immune Microenvironment Reveal the Possible Rationality of Immunotherapy and Identify High Immunotherapy Response Subtypes for Renal Papillary Cell Carcinoma.xlsx
Kidney renal papillary cell carcinoma (KIRP), the second most common subtype of renal cell carcinoma, still lacks effective treatment regimens for individualized immunotherapy because of the heterogeneity of its elusive immune microenvironment. Therefore, we aimed to comprehensively evaluate the immune microenvironment of KIRP by using the computational biology strategy to analyze the expression profile data of 289 KIRP patients obtained from The Cancer Genome Atlas database. Based on multidimensional, multi-omics bioinformatics analysis, we found that the tumor of patients with KIRP exhibited “hot” tumor characteristics but the CD8+ T cells in the tumor tissues did not limit tumor progression. Thus, patients with KIRP may realize higher clinical benefits by receiving treatment that can reverse CD8+ T-cell exhaustion. Among them, C1 and C3 immune subtypes could realize the best efficacy of reversing CD8+ T-cell exhaustion. Moreover, CCL5 and FASLG expression may be related to the formation of the immunosuppressive microenvironment in the tumors of patients with KIRP. In conclusion, the immune microenvironment landscape presented in this study provides a novel insight for further experimental and clinical exploration of tailored immunotherapy for patients with KIRP.
History
References
- https://doi.org//10.1016/j.eururo.2015.01.005
- https://doi.org//10.1016/j.critrevonc.2015.05.008
- https://doi.org//10.3322/caac.21411
- https://doi.org//10.3322/canjclin.57.2.112
- https://doi.org//10.1016/j.cell.2010.01.025
- https://doi.org//10.1146/annurev-immunol-031210-101324
- https://doi.org//10.1007/s00262-005-0670-9
- https://doi.org//10.1111/j.1600-065X.2008.00662.x
- https://doi.org//10.1084/jem.20100637
- https://doi.org//10.1056/NEJMoa1411087
- https://doi.org//10.1056/NEJMoa1507643
- https://doi.org//10.1056/NEJMoa1602252
- https://doi.org//10.1056/NEJMoa1003466
- https://doi.org//10.1056/NEJMoa1510665
- https://doi.org//10.1007/s10637-017-0469-5
- https://doi.org//10.1038/nmeth.3337
- https://doi.org//10.1158/0008-5472.CAN-17-0307
- https://doi.org//10.2217/bmm-2015-0035
- https://doi.org//10.1371/journal.pone.0029348
- https://doi.org//10.1186/1471-2105-9-559
- https://doi.org//10.1093/bioinformatics/btm563
- https://doi.org//10.1093/nar/gkw937
- https://doi.org//10.1186/1752-0509-8-S4-S11
- https://doi.org//10.1186/1471-2105-12-35
- https://doi.org//10.1126/science.1260419
- https://doi.org//10.1016/j.neo.2017.05.002
- https://doi.org//10.1038/s41591-018-0136-1
- https://doi.org//10.1056/NEJMoa1505917
- https://doi.org//10.1084/jem.168.3.1145
- https://doi.org//10.1182/blood-2016-08-735365
- https://doi.org//10.1084/jem.169.1.149
- https://doi.org//10.1016/j.immuni.2011.11.016
- https://doi.org//10.1126/science.1090148
- https://doi.org//10.1038/cdd.2009.206
- https://doi.org//10.1016/S0065-2776%2806%2990008-X
- https://doi.org//10.1038/nrc2051
- https://doi.org//10.1016/j.immuni.2007.05.016
- https://doi.org//10.1084/jem.20011624
- https://doi.org//10.1002/cncr.20270
- https://doi.org//10.1172/JCI121491
- https://doi.org//10.1111/cei.13044
- https://doi.org//10.1002/hep.26403
- https://doi.org//10.1083/jcb.201301001
- https://doi.org//10.1155/2014/292376
- https://doi.org//10.1159/000019821
Usage metrics
Read the peer-reviewed publication
Categories
- Transplantation Immunology
- Tumour Immunology
- Immunology not elsewhere classified
- Immunology
- Veterinary Immunology
- Animal Immunology
- Genetic Immunology
- Applied Immunology (incl. Antibody Engineering, Xenotransplantation and T-cell Therapies)
- Autoimmunity
- Cellular Immunology
- Humoural Immunology and Immunochemistry
- Immunogenetics (incl. Genetic Immunology)
- Innate Immunity