{"title":"转移性肾细胞癌一线VEGFR-TKI单药治疗的临床耐药预测因素:回顾性多中心真实病例系列","authors":"Pezzicoli Gaetano, Quaglini Silvana, Tibollo Valentina, Bersanelli Melissa, Porta Camillo, Rizzo Mimma","doi":"10.20517/2394-4722.2023.41","DOIUrl":null,"url":null,"abstract":"Aim: For many years, systemic treatment of metastatic Renal Cell Carcinoma (mRCC) was based on sequential targeted agent monotherapies. In this real-life case series, we evaluated easily accessible clinical factors useful for disease course prediction. Methods: We exploited patients' clinical pathological characteristics and systemic treatment outcomes in a real-world population of 365 mRCC patients who received sequential monotherapies in the targeted therapy era, and we identified an early progressors subpopulation, resistant to first-line VEGFR-TKI monotherapy in less than 6 months. Results: Early progressors (n = 124) show a far worse OS compared with patients progressing beyond the sixthmonth of therapy (13.5 vs. 44.8 months, P-value < 0.0001, HR = 0.41, 95%CI: 0.29-0.53). However, these patients did not show far worse performance in second and third-line settings compared to first-line responders. In the univariate analysis, IMDC risk class, sarcomatoid features, and Systemic Inflammation Index (SII) were correlated with first-line therapy Progression-Free Survival (PFS1). In multivariate analysis, variables correlated with first-line outcome were IMDC risk class, histotype, and number of metastatic sites at the diagnosis. Conclusion: Real-world data can contribute to developing easy-to-use prognostic factors associated with refractory disease that could support clinicians in identifying the most appropriate treatment strategy for each patient.","PeriodicalId":15167,"journal":{"name":"Journal of Cancer Metastasis and Treatment","volume":null,"pages":null},"PeriodicalIF":1.4000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Clinical resistance predictors to first-line VEGFR-TKI monotherapy for metastatic renal cell carcinoma: a retrospective multicenter real-life case series\",\"authors\":\"Pezzicoli Gaetano, Quaglini Silvana, Tibollo Valentina, Bersanelli Melissa, Porta Camillo, Rizzo Mimma\",\"doi\":\"10.20517/2394-4722.2023.41\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Aim: For many years, systemic treatment of metastatic Renal Cell Carcinoma (mRCC) was based on sequential targeted agent monotherapies. In this real-life case series, we evaluated easily accessible clinical factors useful for disease course prediction. Methods: We exploited patients' clinical pathological characteristics and systemic treatment outcomes in a real-world population of 365 mRCC patients who received sequential monotherapies in the targeted therapy era, and we identified an early progressors subpopulation, resistant to first-line VEGFR-TKI monotherapy in less than 6 months. Results: Early progressors (n = 124) show a far worse OS compared with patients progressing beyond the sixthmonth of therapy (13.5 vs. 44.8 months, P-value < 0.0001, HR = 0.41, 95%CI: 0.29-0.53). However, these patients did not show far worse performance in second and third-line settings compared to first-line responders. In the univariate analysis, IMDC risk class, sarcomatoid features, and Systemic Inflammation Index (SII) were correlated with first-line therapy Progression-Free Survival (PFS1). In multivariate analysis, variables correlated with first-line outcome were IMDC risk class, histotype, and number of metastatic sites at the diagnosis. Conclusion: Real-world data can contribute to developing easy-to-use prognostic factors associated with refractory disease that could support clinicians in identifying the most appropriate treatment strategy for each patient.\",\"PeriodicalId\":15167,\"journal\":{\"name\":\"Journal of Cancer Metastasis and Treatment\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.4000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Cancer Metastasis and Treatment\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.20517/2394-4722.2023.41\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ONCOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Cancer Metastasis and Treatment","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.20517/2394-4722.2023.41","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ONCOLOGY","Score":null,"Total":0}
Clinical resistance predictors to first-line VEGFR-TKI monotherapy for metastatic renal cell carcinoma: a retrospective multicenter real-life case series
Aim: For many years, systemic treatment of metastatic Renal Cell Carcinoma (mRCC) was based on sequential targeted agent monotherapies. In this real-life case series, we evaluated easily accessible clinical factors useful for disease course prediction. Methods: We exploited patients' clinical pathological characteristics and systemic treatment outcomes in a real-world population of 365 mRCC patients who received sequential monotherapies in the targeted therapy era, and we identified an early progressors subpopulation, resistant to first-line VEGFR-TKI monotherapy in less than 6 months. Results: Early progressors (n = 124) show a far worse OS compared with patients progressing beyond the sixthmonth of therapy (13.5 vs. 44.8 months, P-value < 0.0001, HR = 0.41, 95%CI: 0.29-0.53). However, these patients did not show far worse performance in second and third-line settings compared to first-line responders. In the univariate analysis, IMDC risk class, sarcomatoid features, and Systemic Inflammation Index (SII) were correlated with first-line therapy Progression-Free Survival (PFS1). In multivariate analysis, variables correlated with first-line outcome were IMDC risk class, histotype, and number of metastatic sites at the diagnosis. Conclusion: Real-world data can contribute to developing easy-to-use prognostic factors associated with refractory disease that could support clinicians in identifying the most appropriate treatment strategy for each patient.