An integrative multi-omics analysis based on disulfidptosis-related prognostic signature and distinct subtypes of clear cell renal cell carcinoma.
An integrative multi-omics analysis based on disulfidptosis-related prognostic signature and distinct subtypes of clear cell renal cell carcinoma.
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DOI:
10.3389/fonc.2023.1207068
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发表时间:
2023
影响因子:
4.7
通讯作者:
Qin, Chao
中科院分区:
文献类型:
--
作者:
Zhang, Dong;Zhang, Xi;Liu, Zhanpeng;Han, Tian;Zhao, Kai;Xu, Xinchi;Zhang, Xu;Ren, Xiaohan;Qin, Chao
The association between clear cell renal cell carcinoma (ccRCC) and disulfidoptosis remains to be thoroughly investigated. We conducted multiple bioinformatics analyses, including prognostic analysis and cluster analysis, using R software. Additionally, we utilized Quantitative Real-time PCR to measure RNA levels of specific genes. The proliferation of ccRCC was assessed through CCK8 and colony formation assays, while the invasion and migration of ccRCC cells were evaluated using the transwell assay. In this study, utilizing data from multiple ccRCC cohorts, we identified molecules that contribute to disulfidoptosis. We conducted a comprehensive investigation into the prognostic and immunological roles of these molecules. Among the disulfidoptosis-related metabolism genes (DMGs), LRPPRC, OXSM, GYS1, and SLC7A11 exhibited significant correlations with ccRCC patient prognosis. Based on our signature, patients in different groups displayed varying levels of immune infiltration and different mutation profiles. Furthermore, we classified patients into two clusters and identified multiple functional pathways that play important roles in the occurrence and development of ccRCC. Given its critical role in disulfidoptosis, we conducted further analysis on SLC7A11. Our results demonstrated that ccRCC cells with high expression of SLC7A11 exhibited a malignant phenotype. These findings enhanced our understanding of the underlying function of DMGs in ccRCC.
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影响因子:
12.4
作者:
Chen, Shi-lu;Huang, Qun-sheng;Yun, Jing-ping
通讯作者:
Yun, Jing-ping
影响因子:
1.3
作者:
Eryilmaz, Mehmet Ali;Kozanhan, Betul;Erel, Ozcan
通讯作者:
Erel, Ozcan
影响因子:
28.1
作者:
Wang Y;Jiang Y;Wei D;Singh P;Yu Y;Lee T;Zhang L;Mandl HK;Piotrowski-Daspit AS;Chen X;Li F;Li X;Cheng Y;Josowitz A;Yang F;Zhao Y;Wang F;Zhao Z;Huttner A;Bindra RS;Xiao H;Mark Saltzman W
通讯作者:
Mark Saltzman W
影响因子:
10.9
作者:
Starzer AM;Heller G;Tomasich E;Melchardt T;Feldmann K;Hatziioannou T;Traint S;Minichsdorfer C;Schwarz-Nemec U;Nackenhorst M;Müllauer L;Preusser M;Berghoff AS;Fuereder T
通讯作者:
Fuereder T
影响因子:
12.3
作者:
Şenbabaoğlu Y;Gejman RS;Winer AG;Liu M;Van Allen EM;de Velasco G;Miao D;Ostrovnaya I;Drill E;Luna A;Weinhold N;Lee W;Manley BJ;Khalil DN;Kaffenberger SD;Chen Y;Danilova L;Voss MH;Coleman JA;Russo P;Reuter VE;Chan TA;Cheng EH;Scheinberg DA;Li MO;Choueiri TK;Hsieh JJ;Sander C;Hakimi AA
通讯作者:
Hakimi AA