scholarly journals Nomograms-based prediction of overall and cancer-specific survivals for patients with chromophobe renal cell carcinoma

2020 ◽  
pp. 153537022097710
Author(s):  
Chunyang Chen ◽  
Xinyu Geng ◽  
Rui Liang ◽  
Dongze Zhang ◽  
Meiyun Sun ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Overall Survival ◽  
Prognostic Factors ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Operating Characteristic ◽  
Tumor Grade ◽  
Curve Analysis ◽  
Cancer Specific Survival ◽  
Decision Curve Analysis

This study built and tested two effective nomograms for the purpose of predicting cancer-specific survival and overall survival of chromophobe renal cell carcinoma (chRCC) patients. Multivariate Cox regression analysis was employed to filter independent prognostic factors predictive of cancer-specific survival and overall survival, and the nomograms were built based on a training set incorporating 2901 chRCC patients in a retrospective study (from 2004 to 2015) downloaded from the surveillance, epidemiology, and end results (SEER) database. The nomograms were verified on a validation cohort of 1934 patients, subsequently the performances of the nomograms were examined according to the receiver operating characteristic curve, calibration curves, the concordance (C-index), and decision curve analysis. The results showed that tumor grade, AJCC and N stages, race, marital status, age, histories of chemotherapy, radiotherapy and surgery were the individual prognostic factors for overall survival, and that AJCC, N and SEER stages, histories of surgery, radiotherapy and chemotherapy, age, tumor grade were individual prognostic factors for cancer-specific survival. According to C-indexes, receiver operating characteristic curves, and decision curve analysis outcomes, the nomograms showed a higher accuracy in predicting overall survival and OSS when compared with TNM stage and SEER stage. All the calibration curves were significantly consistent between predictive and validation sets. In this study, the nomograms, which were validated to be highly accurate and applicable, were built to facilitate individualized predictions of the cancer-specific survival and overall survival to patients diagnosed with chRCC between 2004 and 2015.

scholarly journals Prognostic significance of preoperative neutrophil-to-lymphocyte ratio in papillary renal cell carcinoma patients after receiving curative surgery based on a retrospective cohort

BMC Urology ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Zhilei Zhang ◽  
Yongbo Yu ◽  
Jilu Zheng ◽  
Mingxin Zhang ◽  
Haitao Niu
Keyword(s):  
Renal Cell Carcinoma ◽  
Overall Survival ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Papillary Renal Cell Carcinoma ◽  
Curve Analysis ◽  
Tnm Stage ◽  
Roc Curve Analysis ◽  
Decision Curve Analysis ◽  
Tnm System

Abstract Background Inflammatory response biomarkers have been studied as promising prognostic factors in renal cell carcinoma, but few studies have focused on papillary renal cell carcinoma (PRCC). This study was performed to evaluate the prognostic value of the preoperative neutrophil-to-lymphocyte ratio (NLR) in PRCC patients. Methods In total, 122 postoperative PRCC patients selected from 366 non-clear cell renal cell carcinoma patients were enrolled from our institution between 2012 and 2020. The optimal cutoff value of the NLR was assessed by receiver operating characteristic (ROC) curve analysis, and the Kaplan–Meier method and Cox's proportional hazards regression models were performed to analyze the association of the NLR with overall survival (OS). In addition, the potential of tumor-node-metastasis (TNM) stage, the NLR and an NLR-TNM system to predict survival were compared with ROC curves, and clinical usefulness of the predicting models were assessed by decision curve analysis. Results A threshold value of 2.39 for the NLR for OS analysis was determined by ROC curve analysis. An NLR ≥ 2.39 was associated with a more advanced TNM stage (P < 0.01) and larger tumors (P < 0.05) than a low NLR, as well as pathological subtype II (P < 0.05), and the patients with a high NLR also exhibited significantly worse overall survival outcomes (P < 0.05). The NLR was determined to be a significant independent prognostic indicator by univariable and multivariable analyses (HR = 5.56, P < 0.05). Furthermore, TNM stage and the NLR were integrated, and the area under the curve (AUC) of for the NLR-TNM system was larger than that of for the TNM system when predicting overall survival (0.84 vs 0.73, P = 0.04). Decision curve analysis also demonstrated a better clinical value for the NLR-TNM model to predict the prognosis. Conclusion A high preoperative NLR was associated with poor clinical and pathologic parameters in patients with PRCC; moreover, the NLR was also an independent prognostic factor for the OS of patients with PRCC. The NLR-TNM system, which was a model that integrated the NLR with TNM staging, could improve the ability to predict overall survival.

scholarly journals Prognostic significance of preoperative neutrophil-to-lymphocyte ratio in papillary renal cell carcinoma patients after receiving curative surgery based on a retrospective cohort

2021 ◽  
Author(s):  
Zhilei Zhang ◽  
Yongbo Yu ◽  
Jilu Zheng ◽  
Mingxin Zhang ◽  
Haitao Niu
Keyword(s):  
Renal Cell Carcinoma ◽  
Overall Survival ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Papillary Renal Cell Carcinoma ◽  
Curve Analysis ◽  
Tnm Stage ◽  
Roc Curve Analysis ◽  
Decision Curve Analysis ◽  
Tnm System

Abstract Background: Inflammatory response biomarkers have been studied as promising prognostic factors in renal cell carcinoma (RCC), but few studies have focused on papillary renal cell carcinoma (PRCC). This study was performed to evaluate the prognostic value of the preoperative neutrophil-to-lymphocyte ratio (NLR) in PRCC patients. Methods: In total, 122 postoperative PRCC patients selected from 366 non-clear cell renal cell carcinoma (nccRCC) patients were enrolled from our institution between 2012 and 2020. The optimal cutoff value of the NLR was assessed by receiver operating characteristic (ROC) curve analysis, and the Kaplan–Meier method and Cox's proportional hazards regression models were performed to analyze the association of the NLR with overall survival (OS). In addition, the potential of tumor-node-metastasis (TNM) stage, the NLR and an NLR-TNM system to predict survival were compared with ROC curves, and clinical usefulness of the predicting models were assessed by decision curve analysis. Results: A threshold value of 2.39 for the NLR for OS analysis was determined by ROC curve analysis. An NLR≥2.39 was associated with a more advanced TNM stage (P<0.01) and larger tumors (P<0.05) than a low NLR, as well as pathological subtype Ⅱ (P<0.05), and the patients with a high NLR also exhibited significantly worse overall survival outcomes (P<0.05). The NLR was determined to be a significant independent prognostic indicator by univariable and multivariable analyses (HR = 5.56, P<0.05). Furthermore, TNM stage and the NLR were integrated, and the area under the curve (AUC) of for the NLR-TNM system was larger than that of for the TNM system when predicting overall survival (0.84 VS 0.73, P=0.04). Decision curve analysis also demonstrated a better clinical value for the NLR-TNM model to predict the prognosis. Conclusion: A high preoperative NLR was associated with poor clinical and pathologic parameters in patients with PRCC; moreover, the NLR was also an independent prognostic factor for the OS of patients with PRCC. The NLR-TNM system, which was a model that integrated the NLR with TNM staging, could improve the ability to predict overall survival.

scholarly journals Overall Survival Prediction in Renal Cell Carcinoma Patients Using Computed Tomography Radiomic and Clinical Information

2021 ◽  
Author(s):  
Zahra Khodabakhshi ◽  
Mehdi Amini ◽  
Shayan Mostafaei ◽  
Atlas Haddadi Avval ◽  
Mostafa Nazari ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Overall Survival ◽  
Cell Carcinoma ◽  
Clinical Features ◽  
Renal Cell ◽  
Radical Nephrectomy ◽  
Clinical Information ◽  
Tumor Grade ◽  
Imaging Biomarkers ◽  
Area Density

AbstractThe aim of this work is to investigate the applicability of radiomic features alone and in combination with clinical information for the prediction of renal cell carcinoma (RCC) patients’ overall survival after partial or radical nephrectomy. Clinical studies of 210 RCC patients from The Cancer Imaging Archive (TCIA) who underwent either partial or radical nephrectomy were included in this study. Regions of interest (ROIs) were manually defined on CT images. A total of 225 radiomic features were extracted and analyzed along with the 59 clinical features. An elastic net penalized Cox regression was used for feature selection. Accelerated failure time (AFT) with the shared frailty model was used to determine the effects of the selected features on the overall survival time. Eleven radiomic and twelve clinical features were selected based on their non-zero coefficients. Tumor grade, tumor malignancy, and pathology t-stage were the most significant predictors of overall survival (OS) among the clinical features (p < 0.002, < 0.02, and < 0.018, respectively). The most significant predictors of OS among the selected radiomic features were flatness, area density, and median (p < 0.02, < 0.02, and < 0.05, respectively). Along with important clinical features, such as tumor heterogeneity and tumor grade, imaging biomarkers such as tumor flatness, area density, and median are significantly correlated with OS of RCC patients.

Outcomes and prognostic factors in metastatic renal cell carcinoma patients with brain metastases.

2021 ◽  
Vol 39 (6_suppl) ◽  
pp. 289-289
Author(s):  
İzzet Dogan ◽  
Ayca Iribas ◽  
Nail Paksoy ◽  
Meltem Ekenel ◽  
Sezai Vatansever ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Overall Survival ◽  
Prognostic Factors ◽  
Brain Metastasis ◽  
Brain Metastases ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
De Novo ◽  
Brain Radiotherapy ◽  
Metastatic Sites

289 Background: The study aimed to evaluate the outcomes and prognostic factors in patients with brain metastatic renal cell carcinoma (bmRCC). Methods: The data of 322 patients with renal cell carcinoma, between 2012 and 2020, were retrospectively reviewed. The clinicopathological features and treatments of the patients with bmRCC were recorded. Overall survival (OS) and prognostic factors were evaluated with Kaplan-Meier analysis and Cox-regression analysis. Results: Forty (12.4%) of the patients had bmRCC. The median follow-up period was 7.3 months (range, 0.2-55.5). The male/female ratio was 2.3, and the median age at diagnosis was 62 years (range, 25-84). Seventeen (42.5%) of the patients were de-novo metastatic, and nine (22.5%) of the patients had brain metastases at presentation. The most common extracranial metastatic sites of the disease were lung (72.5%), bone (47.5%), lymph node (27.5%), and liver (12.5%). Twenty-four (60%) patients previously had received various therapies (tyrosine kinase inhibitor, checkpoint inhibitors, or palliative radiotherapy). After brain metastases developed, 92% of the patients received brain radiotherapy (whole-brain radiotherapy or stereotactic radiosurgery), and twenty-five (62.5%) patients received different therapies. Nine patient received sunitinib, nine patient pazopanib, five patient nivolumab, and two patient axitinib. A total of 32 (80%) patients died during the study period. The median OS was 8.8 months (range, 2.9-14.6) for all patients with bmRCC. Six months- and one-years overall survival ratios were 60% and 40%, respectively. In univariate analysis, the number of brain metastasis (p = 0.352), the localization of brain metastasis (p = 0.790), the longest size of brain metastasis (p = 0.454), the number of extracranial metastatic sites (p = 0.812), de-novo metastatic disease (p = 0.177), primary tumor localization (left or right) (p = 0.903), and tumor grade (p = 0.093) were not statistically significant factors on OS. However, age (p = 0.02), a history of nephrectomy (p < 0.001), receiving brain radiotherapy (p = 0.005), and type of treatment (p = 0.044) was statistically significant. Only, the effect of brain radiotherapy on OS (p = 0.011) was confirmed in multivariate analysis. Conclusions: The prognostic data of patients with bmRCC is limited. In this study, we observed that the prognosis of patients with bmRCC was poor. Despite a small number of patients, we detected that the effect of tyrosine kinase inhibitors and nivolumab was comparable, and receiving brain radiotherapy was a prognostic factor for OS.

scholarly journals Prognostic factors for overall survival with targeted therapy in Chinese patients with metastatic renal cell carcinoma

2014 ◽  
Vol 8 (11-12) ◽  
pp. 821 ◽  
Author(s):  
Juping Zhao ◽  
Xin Huang ◽  
Fukang Sun ◽  
Renyi Ma ◽  
Haofei Wang ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Overall Survival ◽  
Prognostic Factors ◽  
Targeted Therapy ◽  
Cell Carcinoma ◽  
Metastatic Renal Cell Carcinoma ◽  
Renal Cell ◽  
Chinese Patients ◽  
Patient Specific ◽  
The Mean

Introduction: We wanted to identify the prognostic factors for overall survival (OS) in Chinese patients with metastatic renal cell carcinoma (mRCC) treated with first-line targeted therapy (sorafenib or sunitinib).Methods: We retrospectively reviewed clinical data from 119 mRCC patients administered sorafenib or sunitinib at the Ruijin Hospital since 2007. OS rates were calculated by the Kaplan-Meier method. Each variable was investigated univariately and then multivariately using a stepwise algorithm. A multivariate Cox regression model analyzed baseline variables for prognostic significance.Results: The mean patient age was 57 ± 12 years; 37 patients (31%) received sorafenib and 82 (69%) received sunitinib. The mean OS was 22.7 ± 15.6 months (range: 2.8–68.7). OS rates at year 1, 3 and 5 were 74%, 57%, and 36%, respectively. Univariate analysis identified significant negative prognostic factors (p < 0.05) as Eastern Cooperative Oncology Group (ECOG) performance status ≥2, symptoms, no prior nephrectomy, microscopic necrosis, ≥2 metastatic sites, presence of liver, bone, or pancreas metastasis, hemoglobin less than the lower limit of normal (female <115 g/L, male <130 g/L), and serum alkaline phosphatase greater than the upper limit of normal (126 IU/L) at baseline, as well as a relative dose intensity of targeting agents in the first month (1M-RDI) of <50%. Multivariate analysis of OS identified 4 independent predictors: no symptoms, no bone or pancreas metastasis, and 1M-RDI of targeting agents (≥50%).Conclusions: With targeted therapy, there is some change in the prognostic factors for mRCC and target drug therapies (1M-RDI ≥50%) play an important role in the prognosis of mRCC. Continued progress in the identification of patient-specific prognostic factors for mRCC will require further advances in the understanding of tumour biology.

scholarly journals Prognostic factors for overall survival in patients with clear cell metastatic renal cell carcinoma

Medicine ◽  
2021 ◽  
Vol 100 (31) ◽  
pp. e26826
Author(s):  
Dongrul Shin ◽  
Chang Wook Jeong ◽  
Cheryn Song ◽  
Minyong Kang ◽  
Seong Il Seo ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Overall Survival ◽  
Prognostic Factors ◽  
Cell Carcinoma ◽  
Metastatic Renal Cell Carcinoma ◽  
Renal Cell ◽  
Clear Cell

Validation and Extension of the Memorial Sloan-Kettering Prognostic Factors Model for Survival in Patients With Previously Untreated Metastatic Renal Cell Carcinoma

2005 ◽  
Vol 23 (4) ◽  
pp. 832-841 ◽  
Author(s):  
Tarek M. Mekhail ◽  
Rony M. Abou-Jawde ◽  
Gabriel BouMerhi ◽  
Sareena Malhi ◽  
Laura Wood ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Overall Survival ◽  
Prognostic Factors ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Median Overall Survival ◽  
Intermediate Risk ◽  
Survival Times ◽  
Poor Risk ◽  
Expanded Criteria

Purpose To validate the Motzer et al prognostic factors model for survival in patients with previously untreated metastatic renal cell carcinoma (RCC) and to identify additional independent prognostic factors. Patients and Methods Data were collected on 353 previously untreated metastatic RCC patients enrolled onto clinical trials between 1987 and 2002. Results Four of the five prognostic factors identified by Motzer were independent predictors of survival. In addition, prior radiotherapy and presence of hepatic, lung, and retroperitoneal nodal metastases were found to be independent prognostic factors. Using the number of metastatic sites as surrogate for individual sites (none or one v two or three sites), Motzer’s definitions of risk groups were expanded to accommodate these two additional prognostic factors. Using this expanded criteria, favorable risk is defined as zero or one poor prognostic factor, intermediate risk is two poor prognostic factors, and poor risk is more than two poor prognostic factors. According to Motzer’s definitions, 19% of patients were favorable risk, 70% were intermediate risk, and 11% were poor risk; median overall survival times for these groups were 28.6, 14.6, and 4.5 months, respectively (P < .0001). Using the expanded criteria, 37% of patients were favorable risk, 35% were intermediate risk, and 28% were poor risk; median overall survival times of these groups were 26.0, 14.4, and 7.3 months, respectively (P < .0001). Conclusion These data validate the model described by Motzer et al. Additional independent prognostic factors identified were prior radiotherapy and sites of metastasis. Incorporation of these additional prognostic factors into the Motzer et al model can help better define favorable risk, intermediate risk, and poor risk patients.

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