دورية أكاديمية
A Novel KIF4A-Related Model for Predicting Immunotherapy Response and Prognosis in Kidney Renal Clear Cell Carcinoma.
| العنوان: | A Novel KIF4A-Related Model for Predicting Immunotherapy Response and Prognosis in Kidney Renal Clear Cell Carcinoma. |
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| المؤلفون: | Yang GH; Department of Urology, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, People's Republic of China.; Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China., Ma XD; Department of Urology, Baotou Central Hospital, Inner Mongolia Medical University, Baotou, China., Wei XF; Department of Urology, People's Hospital of Ningxia Hui Autonomous Region, Yinchuan, China., Liu RL; Department of Urology, Tianjin Institute of Urology, The Second Hospital of Tianjin Medical University, Tianjin, China., Wang C; Department of Urology, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, People's Republic of China.; Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China. |
| المصدر: | Combinatorial chemistry & high throughput screening [Comb Chem High Throughput Screen] 2024 Feb 14. Date of Electronic Publication: 2024 Feb 14. |
| Publication Model: | Ahead of Print |
| نوع المنشور: | Journal Article |
| اللغة: | English |
| بيانات الدورية: | Publisher: Bentham Science Publishers Country of Publication: United Arab Emirates NLM ID: 9810948 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1875-5402 (Electronic) Linking ISSN: 13862073 NLM ISO Abbreviation: Comb Chem High Throughput Screen Subsets: MEDLINE |
| أسماء مطبوعة: | Publication: Saif Zone, Sharjah, U.A.E. : Bentham Science Publishers Original Publication: Hilversum, Netherlands ; Miami, FL : Bentham Science Publishers, c1998- |
| مستخلص: | Background: The efficacy of chemotherapy in treating Kidney Renal Clear Cell Carcinoma (KIRC) is limited, whereas immunotherapy has shown some promising clinical outcomes. In this context, KIF4A is considered a potential therapeutic target for various cancers. Therefore, identifying the mechanism of KIF4A that can predict the prognosis and immunotherapy response of KIRC would be of significant importance. Methods: Based on the TCGA Pan-Cancer dataset, the prognostic significance of the KIF4A expression across 33 cancer types was analyzed by univariate Cox algorithm. Furthermore, overlapping differentially expressed genes (DEGs1) between the KIF4A high- and lowexpression groups and DEGs2 between the KIRC and normal groups were also analyzed. Machine learning and Cox regression algorithms were performed to obtain biomarkers and construct a prognostic model. Finally, the role of KIF4A in KIRC was analyzed using quantitative real-time PCR, transwell assay, and EdU experiment. Results: Our analysis revealed that KIF4A was significant for the prognosis of 13 cancer types. The highest correlation with KIF4A was found for KICH among the tumour mutation burden (TMB) indicators. Subsequently, a prognostic model developed with UBE2C, OTX1, PPP2R2C, and RFLNA was obtained and verified with the Renal Cell Cancer-EU/FR dataset. There was a positive correlation between risk score and immunotherapy. Furthermore, the experiment results indicated that KIF4A expression was considerably increased in the KIRC group. Besides, the proliferation, migration, and invasion abilities of KIRC tumor cells were significantly weakened after KIF4A was knocked out. Conclusion: We identified four KIF4A-related biomarkers that hold potential for prognostic assessment in KIRC. Specifically, early implementation of immunotherapy targeting these biomarkers may yield improved outcomes for patients with KIRC. (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.) |
| فهرسة مساهمة: | Keywords: KIF4A; Kidney renal clear cell carcinoma; Pan-cancer; Prognosis; Risk score; Tumour mutation burden |
| تواريخ الأحداث: | Date Created: 20240215 Latest Revision: 20240215 |
| رمز التحديث: | 20240215 |
| DOI: | 10.2174/0113862073296897240212114403 |
| PMID: | 38357945 |
| قاعدة البيانات: | MEDLINE |
| تدمد: | 1875-5402 |
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| DOI: | 10.2174/0113862073296897240212114403 |