application of m6A modification related combined genome in predicting curative effect of immunotherapy for patients with renal clear cell carcinoma
A technology for renal clear cell carcinoma and immunotherapy, which is applied in the field of medical biological detection, can solve the problems of decreased expression and the ability to stimulate T cell activation, etc., and achieve the effect of improving the survival rate
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Embodiment 1
[0040] Example 1: Construction of Immunotherapy Predictive Score
[0041] One, m 6 Identification of a transcriptional regulatory subtype
[0042] The RNA-seq data of 602 clear cell renal cell carcinoma tumors and adjacent normal tissues (72 adjacent normal tissues and 530 tumor tissues) were downloaded from The Cancer Genome Atlas (TCGA). Applicants then extracted 21 m from RNA-seq 6 A expression data of regulatory factors, including 8 writers (METTL3, RBM15, METTL14, RBM15B, KIAA1429, WTAP, CBLL1, ZC3H13), 2 erasers (FTO, ALKBH5) and 11 readers (YTHDF1, YTHDF2, YTHDF3, YTHDC1, YTHDC2, HNRNPC, IGF2BP1, HNRNPA2B1, LRPPRC, FMR1, ELAVL1).
[0043] m 6 Differences in the expression of A regulators, 21 m in tumor tissues and adjacent normal tissues 6 There are differences in the expression of A regulators, the vast majority of m 6 There is a significant difference in the distribution of A regulatory factors in tumor tissues and adjacent normal tissues ( figure 1 A); while e...
Embodiment 2
[0053] Example 2 External Verification
[0054] From June 20018 to September 2020, 98 surgical specimens of ccRCC patients who had received immune checkpoint inhibitor therapy were selected from the Urology Department of Shanghai Cancer Center, Fudan University. Tissue samples including ccRCC and normal tissues were collected during surgery and are available from the FUSCC tissue bank.
[0055] 1. Real-time quantitative PCR (RT-qPCR) analysis
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