{"title":"解码肾细胞癌中SAA2的促侵袭作用:一项探索性研究和实验验证。","authors":"Yin Chen, Haoqing Shi, Yifan Xu, Zhiyuan Zhuo","doi":"10.62347/TKDL1531","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>Currently, there is an urgent need for prognostic prediction models for renal clear cell carcinoma (ccRCC). This study aims to establish a prognostic prediction model based on differential genes associated with TNM staging and validate it through both in vitro and in vivo experiments.</p><p><strong>Method: </strong>Through the cross-analysis of the differential genes between T1-2 and T3-4 stages, N1 and N2 stages, as well as M0 and M1 stages in ccRCC, a nomogram prognostic model was constructed using multivariate COX regression analysis. Finally, the function of human serum amyloid A2 (SAA2) was verified through in vivo and in vitro experiments.</p><p><strong>Result: </strong>Through cross-analysis of the differential genes between T1-2 and T3-4 stages, N1 and N2 stages, as well as M0 and M1 stages, 67 genes were identified. Through multivariate COX regression analysis, examination of expression differences between cancerous and normal tissues, and assessment of their impact on prognosis, we have derived a nomogram prognostic prediction model composed of ITPKA, PDIA2, SAA2, SHOX2, TREML3P, and ZIC2. Furthermore, through Transwell migration and invasion assays, EdU proliferation assays, and in vivo experiments, we validated that SAA2 promotes the proliferation, migration, and invasion of ccRCC.</p><p><strong>Conclusion: </strong>The nomogram prognostic prediction model, consisting of ITPKA, PDIA2, SAA2, SHOX2, TREML3P, and ZIC2, is capable of predicting the prognosis of ccRCC patients. Among them, SAA2 promotes the proliferation, migration, and invasion of ccRCC cells.</p>","PeriodicalId":7438,"journal":{"name":"American journal of clinical and experimental urology","volume":"13 2","pages":"132-144"},"PeriodicalIF":1.5000,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12089227/pdf/","citationCount":"0","resultStr":"{\"title\":\"Decoding the pro-invasive role of SAA2 in renal cell carcinoma: an exploratory study and experimental validation.\",\"authors\":\"Yin Chen, Haoqing Shi, Yifan Xu, Zhiyuan Zhuo\",\"doi\":\"10.62347/TKDL1531\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>Currently, there is an urgent need for prognostic prediction models for renal clear cell carcinoma (ccRCC). This study aims to establish a prognostic prediction model based on differential genes associated with TNM staging and validate it through both in vitro and in vivo experiments.</p><p><strong>Method: </strong>Through the cross-analysis of the differential genes between T1-2 and T3-4 stages, N1 and N2 stages, as well as M0 and M1 stages in ccRCC, a nomogram prognostic model was constructed using multivariate COX regression analysis. Finally, the function of human serum amyloid A2 (SAA2) was verified through in vivo and in vitro experiments.</p><p><strong>Result: </strong>Through cross-analysis of the differential genes between T1-2 and T3-4 stages, N1 and N2 stages, as well as M0 and M1 stages, 67 genes were identified. Through multivariate COX regression analysis, examination of expression differences between cancerous and normal tissues, and assessment of their impact on prognosis, we have derived a nomogram prognostic prediction model composed of ITPKA, PDIA2, SAA2, SHOX2, TREML3P, and ZIC2. Furthermore, through Transwell migration and invasion assays, EdU proliferation assays, and in vivo experiments, we validated that SAA2 promotes the proliferation, migration, and invasion of ccRCC.</p><p><strong>Conclusion: </strong>The nomogram prognostic prediction model, consisting of ITPKA, PDIA2, SAA2, SHOX2, TREML3P, and ZIC2, is capable of predicting the prognosis of ccRCC patients. Among them, SAA2 promotes the proliferation, migration, and invasion of ccRCC cells.</p>\",\"PeriodicalId\":7438,\"journal\":{\"name\":\"American journal of clinical and experimental urology\",\"volume\":\"13 2\",\"pages\":\"132-144\"},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2025-04-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12089227/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"American journal of clinical and experimental urology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.62347/TKDL1531\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q3\",\"JCRName\":\"UROLOGY & NEPHROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"American journal of clinical and experimental urology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.62347/TKDL1531","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"UROLOGY & NEPHROLOGY","Score":null,"Total":0}
Decoding the pro-invasive role of SAA2 in renal cell carcinoma: an exploratory study and experimental validation.
Purpose: Currently, there is an urgent need for prognostic prediction models for renal clear cell carcinoma (ccRCC). This study aims to establish a prognostic prediction model based on differential genes associated with TNM staging and validate it through both in vitro and in vivo experiments.
Method: Through the cross-analysis of the differential genes between T1-2 and T3-4 stages, N1 and N2 stages, as well as M0 and M1 stages in ccRCC, a nomogram prognostic model was constructed using multivariate COX regression analysis. Finally, the function of human serum amyloid A2 (SAA2) was verified through in vivo and in vitro experiments.
Result: Through cross-analysis of the differential genes between T1-2 and T3-4 stages, N1 and N2 stages, as well as M0 and M1 stages, 67 genes were identified. Through multivariate COX regression analysis, examination of expression differences between cancerous and normal tissues, and assessment of their impact on prognosis, we have derived a nomogram prognostic prediction model composed of ITPKA, PDIA2, SAA2, SHOX2, TREML3P, and ZIC2. Furthermore, through Transwell migration and invasion assays, EdU proliferation assays, and in vivo experiments, we validated that SAA2 promotes the proliferation, migration, and invasion of ccRCC.
Conclusion: The nomogram prognostic prediction model, consisting of ITPKA, PDIA2, SAA2, SHOX2, TREML3P, and ZIC2, is capable of predicting the prognosis of ccRCC patients. Among them, SAA2 promotes the proliferation, migration, and invasion of ccRCC cells.