Bayoğlu İbrahim Vedat, Hüseynov Javid, Topal Alper, Sever Nadiye, Majidova Nargiz, Çelebi Abdussamet, Yaşar Alper, Arıkan Rukiye, Işık Selver, Hacıoğlu Muhammet Bekir, Ercelep Özlem, Sarı Murat, Erdoğan Bülent, Hacıbekiroğlu İlhan, Topaloğlu Sernaz, Köstek Osman, Çiçin İrfan
Department of Medical Oncology, School of Medicine, Marmara University, 34899 Istanbul, Turkey.
Department of Medical Oncology, School of Medicine, Trakya University, 22000 Edirne, Turkey.
J Clin Med. 2023 Oct 9;12(19):6420. doi: 10.3390/jcm12196420.
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.
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.
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.
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.
本研究旨在评估调整后的PNI-IMDC风险评分系统在一线接受酪氨酸激酶抑制剂(TKIs)治疗的转移性肾细胞癌(RCC)患者中间组分层中的作用。
共纳入185例患者。采用调整后的PNI和IMDC模型将中间组分为两组:PNI高的中间组和PNI低的中间组。采用Kaplan-Meier法和Cox回归分析对统计数据进行分析。
结果显示,调整后的PNI-IMDC风险评分、经典IMDC和PNI具有相似的预后价值。调整后的PNI-IMDC风险评分可用于对经典中间组进行更均匀的分层。另一方面,多因素分析显示,肾切除术的存在、调整后的有利/中间(PNI高)组、东部肿瘤协作组(ECOG)体能状态评分和骨转移的存在是总生存期(OS)的独立预测因素。
治疗前PNI作为调整后的PNI-IMDC分类模型中一个有价值且潜在的附加生物标志物,有助于为一线接受TKIs治疗的中间组mRCC患者建立改进的预后模型。需要进一步的验证研究来阐明这些发现。