PNI as a Potential Add-On Biomarker to Improve the IMDC Intermediate Prognostic Score

Introduction: This study aimed to assess the role of the adjusted PNI-IMDC risk scoring system in stratifying the intermediate group of metastatic RCC patients who received TKIS in the first-line setting. Methods: A total of 185 patients were included. The adjusted PNI and IMDC model was used to div...

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Main Authors: İbrahim Vedat Bayoğlu, Javid Hüseynov, Alper Topal, Nadiye Sever, Nargiz Majidova, Abdussamet Çelebi, Alper Yaşar, Rukiye Arıkan, Selver Işık, Muhammet Bekir Hacıoğlu, Özlem Ercelep, Murat Sarı, Bülent Erdoğan, İlhan Hacıbekiroğlu, Sernaz Topaloğlu, Osman Köstek, İrfan Çiçin
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Journal of Clinical Medicine
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Online Access:https://www.mdpi.com/2077-0383/12/19/6420
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Summary:Introduction: This study aimed to assess the role of the adjusted PNI-IMDC risk scoring system in stratifying the intermediate group of metastatic RCC patients who received TKIS in the first-line setting. Methods: A total of 185 patients were included. The adjusted PNI and IMDC model was used to divide the intermediate group into two groups: intermediate PNI-high and intermediate PNI-low groups. The statistical data were analyzed using Kaplan–Meier and Cox regression analysis. Results: The results showed that the adjusted PNI-IMDC risk score, classic IMDC, and PNI had similar prognostic values. Adjusted PNI-IMDC risk score might be used for a more homogeneous differentiation of the classic intermediate group. On the other hand, multivariate analysis revealed that the presence of nephrectomy, adjusted favorable/intermediate (PNI-high) group, ECOG performance score, and presence of bone metastasis were independent predictors of OS. Conclusions: Pre-treatment PNI, as a valuable and potential add-on biomarker to the adjusted PNI-IMDC classification model, can be helpful for establishing an improved prognostic model for intermediate group mRCC patients treated with first-line TKISs. Further validation studies are needed to clarify these findings.
ISSN:2077-0383