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1000
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Abstract/Summary
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Background!#!Predictive markers can help tailor treatment to the individual in metastatic renal cell carcinoma (mRCC). De Ritis ratio (DRR) is associated with oncologic outcomes in various solid tumors.!##!Objective!#!To assess the value of DRR in prognosticating survival in mRCC patients treated with tyrosine-kinase inhibitors (TKI).!##!Methods!#!Overall, 220 mRCC patients treated with TKI first-line therapy were analyzed. An optimal cut-off point for DRR was determined with Youden's J. We used multiple strata for DRR, performed descriptive, Kaplan-Meier and multivariable Cox-regression analyses to assess associations of DRR with progression-free (PFS) and overall survival (OS).!##!Results!#!Patients above the optimal cut-off point for DRR of ≥ 1.58 had fewer liver metastases (p = 0.01). There was no difference in PFS (p > 0.05) between DRR groups. DRR above the median of 1.08 (HR 1.42; p = 0.03), DRR ≥ 1.1(HR 1.44; p = 0.02), ≥ 1.8 (HR 1.56; p = 0.03), ≥ 1.9 (HR 1.59; p = 0.02) and ≥ 2.0 (HR 1.63; p = 0.047) were associated with worse OS. These associations did not remain after multivariable adjustment. In the intermediate MSKCC group, DRR was associated with inferior OS at cut-offs ≥ 1.0 (HR 1.78; p = 0.02), ≥ 1.1 (HR 1.81; p = 0.01) and above median (HR 1.88; p = 0.007) in multivariable analyses. In patients with clear-cell histology, DRR above median (HR 1.54; p = 0.029) and DRR ≥ 1.1 (HR 1.53; p = 0.029) were associated with OS in multivariable analyses.!##!Conclusion!#!There was no independent association between DRR and survival of mRCC patients treated with TKI in the entire cohort. However, OS of patients with intermediate risk and clear-cell histology were affected by DRR. DRR could be used for tailored decision-making in these subgroups.
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1000
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Hinweis
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DeepGreen-ID: 993d5639ced744029b22d6e8374b46d2 ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
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