ArticleJournal of cancer research and clinical oncology2023
Impact of a novel immune and nutritional score on prognosis in patients with upper urinary tract urothelial carcinoma following radical nephroureterectomy.
Article in Journal of cancer research and clinical oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed, 3 citations in OpenAlex.
- The Gustave Roussy Immune score (GRIm score) as a novel prognostic score for early breast cancer patients: A real-world retrospective study.International journal of medical sciences · 2024Article
- Case report: Radical robotic nephroureterectomy after chemotherapy followed by avelumab in a patient with node-positive UTUC.Frontiers in oncology · 2024Article
- Systemic immune-inflammation and prognostic immune nutritional index in oral squamous cell carcinoma patients.Biomarkers in medicine · 2024Article
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Authors and funding
7 authors at 2 institutions in 1 country.
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Abstract
backgroundThis study aimed to evaluate the clinical significance of a novel immune and nutritional score combining prognostic values of the controlling nutritional status (CONUT) score and prognostic immune and nutritional index (PINI) on long-term outcomes in patients with upper tract urothelial carcinoma (UTUC) after radical nephroureterectomy (RNU).
methodsThis study analyzed 437 consecutive patients with UTUC treated by RNU. Restricted cubic splines were used to visualize the relation of PINI with Survival in patients with UTUC. The PINI was stratified into low- (1) and high-PINI (0) categories. The CONUT score was divided into three groups: Normal (1), Light (2), and Moderate/severe (3). Subsequently, patients were grouped according to CONUT-PINI score (CPS) (CPS group 1; CPS group 2; CPS group 3; and CPS group 4). Survival curves were plotted using the Kaplan-Meier method and log-rank test. The Cox proportional hazards regression model was used to determine the risk factors associated with overall Survival (OS) and cancer-specific Survival (CSS). By comprising independent prognostic factors, a predictive nomogram was constructed.
resultsPINI and CONUT score were identified as independent prognostic factors for OS and CSS. Kaplan-Meier survival analysis showed that the high CPS group was associated with worse OS and CSS than the low CPS group. Multivariate Cox regression and competing risk analyses showed that CPS, LVI, T stage, margin, and pN were independent factors associated with OS and CSS. Based on these five significant factors, we constructed a prognostic model for predicting clinical outcomes. The receiver operating characteristic curve indicated that the model had excellent predictive abilities for survival. The C-index of this model for OS and CSS were 0.773, and 0.789, respectively. The nomogram for OS and CSS showed good discrimination and calibration. Decision curve analysis (DCA) showed that this nomogram has a higher net benefit.
conclusionThe CPS combined the prognostic capacity of PINI and CONUT score and was able to predict patient outcomes in our cohort of UTUC patients. We have developed a nomogram to facilitate the clinical use of the CPS and provide accurate estimates of survival for individuals.
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