Pre-operative prognostic nutritional index as a predictive factor for prognosis in non-metastatic renal cell carcinoma treated with surgery.
- Author:
Quan ZHANG
1
,
2
,
3
;
Hai Feng SONG
1
,
2
,
3
;
Bing Lei MA
1
,
2
,
3
;
Zhe Nan ZHANG
1
,
2
,
3
;
Chao Hui ZHOU
1
,
2
,
3
;
Ao Lin LI
1
,
2
,
3
;
Jun LIU
1
,
2
,
3
;
Lei LIANG
1
,
2
,
3
;
Shi Yu ZHU
1
,
2
,
3
;
Qian ZHANG
1
,
2
,
3
Author Information
1. Department of Urology, Peking University First Hospital
2. Institute of Urology, Peking University
3. National Urological Cancer Center, Beijing 100034, China.
- Publication Type:Journal Article
- Keywords:
Nephrectomy;
Prognosis;
Prognostic nutrition index;
Renal cell carcinoma
- MeSH:
Humans;
Prognosis;
Nutrition Assessment;
Carcinoma, Renal Cell/surgery*;
Retrospective Studies;
Biomarkers;
Kidney Neoplasms/pathology*
- From:
Journal of Peking University(Health Sciences)
2023;55(1):149-155
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE:To evaluate the implications of the prognostic nutrition index (PNI) in non-metastatic renal cell carcinoma (RCC) patients treated with surgery and to compare it with other hematological biomarkers, including neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), and systemic immune inflammation index (SII).
METHODS:A cohort of 328 non-metastatic RCC patients who received surgical treatment between 2010 and 2012 at Peking University First Hospital was analyzed retrospectively. Receiver operating characteristic (ROC) curve analysis was used to determine the optimal cutoff values of the hematological biomarkers. The Youden index was maximum for PNI was value of 47.3. So we divided the patients into two groups (PNI≤ 47. 3 and >47. 3) for further analysis. Categorical variables [age, gender, body mass index (BMI), surgery type, histological subtype, necrosis, pathological T stage and tumor grade] were compared using the Chi-square test and Student' s t test. The association of the biomarkers with overall survival (OS) and disease-free survival (DFS) was analyzed using Kaplan-Meier methods with log-rank test, followed by multivariate Cox proportional hazards model.
RESULTS:According to the maximum Youden index of ROC curve, the best cut-off value of PNI is 47. 3. Low level of PNI was significantly associated with older age, lower BMI and higher tumor pathological T stage (P < 0.05). Kaplan-Meier univariate analysis showed that lower PNI was significantly correlated with poor OS and DFS (P < 0.05). In addition, older age, lower BMI, tumor necrosis, higher tumor pathological T stage and Fuhrman grade were significantly correlated with poor OS (P < 0.05). Cox multivariate analysis showed that among the four hematological indexes, only PNI was an independent factor significantly associated with OS, whether as a continuous variable (HR=0.9, 95%CI=0.828-0.978, P=0.013) or a classified variable (HR=2.397, 95%CI=1.061-5.418, P=0.036).
CONCLUSION:Low PNI was a significant predictor for advanced pathological T stage, decreased OS, or DFS in non-metastatic RCC patients treated with surgery. In addition, PNI was superior to the other hematological biomar-kers as a useful tool for predicting prognosis of RCC in our study. It should be externally validated in future research before the PNI can be used widely as a predictor of RCC patients undergoing nephrectomy.
