scholarly journals Nomogram Based on microRNA Signature Contributes to Improve Survival Prediction of Clear Cell Renal Cell Carcinoma

2020 ◽  
Vol 2020 ◽  
pp. 1-9 ◽  
Author(s):  
Enfa Zhao ◽  
Xiaofang Bai
Keyword(s):  
Renal Cell Carcinoma ◽  
Prognostic Factors ◽  
Renal Cell ◽  
Clear Cell ◽  
Staging System ◽  
Survival Prediction ◽  
Mirna Signature ◽  
Cell Renal Cell Carcinoma ◽  
Ajcc Staging System ◽  
Ajcc Staging

Objective. Numerous microRNAs (miRNAs) have been identified in ccRCC and recommended to be used for predicting clear cell renal cell carcinoma (ccRCC) prognosis. However, it is not clear whether a miRNA-based nomogram results in improved survival prediction in patients with ccRCC. Methods. miRNA profiles from tumors and normal tissues were downloaded from The Cancer Genome Atlas (TCGA) database and analyzed using the “limma” package. The association between differentially expressed miRNAs and patient prognosis was identified using univariate, least absolute shrinkage and selection operator (LASSO), and multivariate Cox regression analyses. Next, all patients were randomly divided into development and validation cohorts at a ratio of 1 : 1. A nomogram was established based on independent prognostic factors in the development cohort. The prognostic performance of the nomogram was validated in both cohorts using the concordance index (C-index) and calibration plots. Results. Multivariate Cox analysis identified the 13-miRNA signature, as well as AJCC stage and age, as independent prognostic factors after adjusting for other clinical covariates. The nomogram was built based on the independent variables. In the development cohort, the C-index for the constructed nomogram to predict overall survival (OS) was 0.792, which was higher than the C-index (0.731) of the AJCC staging system and C-index (0.778) of the miRNA signature. The nomogram demonstrated good discriminative ability in the validation cohort in predicting OS, with a C-index of 0.762. The calibration plots indicated an excellent agreement between the nomogram predicted survival probability and the actual observed outcomes. Furthermore, decision curve analysis (DCA) indicated that the nomogram was superior to the AJCC staging system in increasing the net clinical benefit. Conclusions. The novel proposed nomogram based on a miRNA signature is a more reliable and robust tool for predicting the OS of patients with ccRCC compared to AJCC staging system, thus, improving clinical decision-making.

Comparison of the UCLA Integrated Staging System and the Leibovich Score in Survival Prediction for Patients With Nonmetastatic Clear Cell Renal Cell Carcinoma

Urology ◽  
2010 ◽  
Vol 75 (6) ◽  
pp. 1365-1370.e3 ◽  
Author(s):  
Min-Han Tan ◽  
Ravindran Kanesvaran ◽  
Huihua Li ◽  
Hwei Ling Tan ◽  
Puay Hoon Tan ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Clear Cell ◽  
Staging System ◽  
Survival Prediction ◽  
Cell Renal Cell Carcinoma

scholarly journals Cytoplasmic PAR-3 protein expression is associated with adverse prognostic factors in clear cell renal cell carcinoma and independently impacts survival

2014 ◽  
Vol 45 (8) ◽  
pp. 1639-1646 ◽  
Author(s):  
Julien Dagher ◽  
Frédéric Dugay ◽  
Nathalie Rioux-Leclercq ◽  
Gregory Verhoest ◽  
Emmanuel Oger ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Prognostic Factors ◽  
Protein Expression ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Clear Cell ◽  
Cell Renal Cell Carcinoma

scholarly journals A practical nomogram for predicting cancer-specific survival in patients with clear-cell renal cell carcinoma

2020 ◽  
Author(s):  
Qian Wen ◽  
Xinwen Wang ◽  
Xiaoye Wang ◽  
Tiao Bai ◽  
Mei Tao
Keyword(s):  
Prognostic Factors ◽  
Lung Metastases ◽  
Characteristic Curve ◽  
Staging System ◽  
Cox Proportional Hazards ◽  
Cell Renal Cell Carcinoma ◽  
Cancer Specific Survival ◽  
Net Reclassification Improvement ◽  
Ajcc Staging System ◽  
Ajcc Staging

Abstract Background: It has limitations in predicting patient survival to use of the traditional American Joint Committee on Cancer (AJCC) staging system alone.Objectives: We aimed to establish and evaluate a comprehensive prognostic nomogram and compare its prognostic value with the AJCC staging system in adults diagnosed with ccRCC.Patients and Methods: We used the SEER database to identify 24477 cases of ccRCC between 2010 and 2015. The patients were randomly divided into two groups. In the development cohort, we used multivariate Cox proportional-hazards analyses to select significant variables, and used R software to establish a nomogram for predicting the 3-year and 5-year survival rates of ccRCC patients. In the development and validation cohorts, we compared our survival model with the AJCC prognosis model to evaluate the performance of the nomogram by calculating the concordance index (C-index), area under the receiver operating characteristic curve (AUC), net reclassification improvement (NRI), and integrated discrimination improvement (IDI), and performing calibration plotting and decision curve analyses (DCAs). Results: Eleven identified independent prognostic factors were used to establish the nomogram. Age at diagnosis, being unmarried, higher grades, larger tumor size, higher AJCC stage, lymph node metastases, bone metastases, liver metastases, lung metastases, radiotherapy, and no surgery were risk factors for the survival of ccRCC. The C-index, AUC, NRI, IDI, and calibration plots demonstrated the good performance of the nomogram compared to the AJCC staging system. Moreover, the 3-year and 5-year DCA curves showed that the nomogram yielded net benefits that were greater than the traditional AJCC staging system.Conclusion: This study is the first to indicate that married status is an important prognostic parameter in ccRCC. Our results also demonstrate that the developed nomogram can predict survival more accurately than the AJCC staging system alone. The prognostic factors were easily obtained.

scholarly journals Analysis of NF-κ B and Clinical Prognostic Factors in Clear Cell Renal Cell Carcinoma

2016 ◽  
Vol 14 (2) ◽  
pp. 63-68
Author(s):  
Young Lee ◽  
Jeonghyouk Choi ◽  
Dong-Gi Lee ◽  
Koo Han Yoo ◽  
Gyeong Eun Min ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Prognostic Factors ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Clear Cell ◽  
Cell Renal Cell Carcinoma

Relation between clinicopathological findings and PD-1 or PD-L1 status in non-clear cell renal cell carcinoma by a multicenter study.

2019 ◽  
Vol 37 (7_suppl) ◽  
pp. 654-654
Author(s):  
Hiroaki Matsumoto ◽  
Kazuhiro Nagao ◽  
Masahiro Samoto ◽  
Junichi Mori ◽  
Kosuke Shimizu ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Multivariate Analysis ◽  
Prognostic Factors ◽  
Prognostic Factor ◽  
Cell Carcinoma ◽  
Multicenter Study ◽  
Renal Cell ◽  
Clear Cell ◽  
Pathological Findings ◽  
Cell Renal Cell Carcinoma

654 Background: We investigated correlation of their pathological findings and their prognostic factors in non-clear cell renal cell carcinoma (ncRCC) diagnosed by both regional pathology (RP) and central pathology (CP) in multicenter study. Methods: In January 2005 to December 2014, 140 cases of ncRCC diagnosed by radical or partial nephrectomy were assessed. We assessed their pathological diagnosis by one central pathologist using the 2016 WHO classification tumor of the kidney. We assessed the correlation between clinical parameters or pathological findings and their prognosis. Then, we performed immunohistochemical analysis using PD-1 related antibody in ncRCC. Results: Median follow up was 32.7 months (1-134). Median age was 66 years, 99 males and 41 females. Pathological stage was pT1a: 58, pT1b: 30, pT2a: 17, pT2b: 6, pT3a: 21, pT3b: 2, pT4: 3 cases, respectively. In RP, histology was papillary (PAP): 60 (42.9%), chromophobe (CHR): 49 (35.0%), containing with sarcomatoid components (SAR): 14 (10.0%) and other histology: 17 (12.1%) cases, respectively. The tumors evaluable by CP were 127 cases, PAP: 52 (40.9%), CHR: 31 (24.4%), SAR: 20 (15.7%) and other histology: 24 cases (18.8%), respectively. The overall concordance rate was 59.5% between RP and CP. In multivariate analysis, SAR was extremely poor prognosis in ncRCC. The high neutrophil lymphocyte ratio (NLR) and at high CRP value were also poor prognostic factors. So, we stratified three risk groups using three factors, namely NLR, CRP and SAR. In overall survival, there were significant prognostic differences within three groups (p = 0.0014). In immunohistochemistry, PD-1 or PD-L1 expression correlated with poor overall, cancer specific and recurrence free survival in ncRCC. In multivariate analysis, PD-L1 expression was most significant prognostic factor for ncRCC. Conclusions: These results suggest that Risk stratification by three risk factors is useful prognostic model and the expression of PD-1 and PD-L1 may be a useful prognostic factor in ncRCC.

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