The relationship between prognostic nutritional index and treatment response in patients with metastatic renal cell cancer

2019 ◽  
Vol 26 (5) ◽  
pp. 1110-1116 ◽  
Author(s):  
Hatime Arzu Yasar ◽  
Kadriye Bir Yucel ◽  
Cagatay Arslan ◽  
Gokhan Ucar ◽  
Serdar Karakaya ◽  
...  
Keyword(s):  
Overall Survival ◽  
Regression Analysis ◽  
Treatment Response ◽  
Renal Cell Cancer ◽  
Renal Cell ◽  
Cox Regression ◽  
Cell Cancer ◽  
Prognostic Nutritional Index ◽  
Cox Regression Analysis ◽  
Nutritional Index

Introduction and aim To investigate the effect of the prognostic nutritional index on treatment response and survival in patients with metastatic renal cell cancer. Methods We retrospectively analyzed the treatment modalities; the demographic, clinical and pathological features of 396 patients with RCC and prognostic nutritional index. Based on the median value, patients were grouped as having low and high prognostic nutritional index values. Kaplan-Meier method was used for survival analysis, and Cox-regression analysis was used for multivariate analysis. Results The median overall survival was 39 months (95% CI 26.1–51.8), 28 months (95% CI 17.9–38) and 7 months (95% CI 4.7–9.2) in patients with favorable, intermediate and poor International Metastatic Renal Cell Carcinoma Database Consortium risk group, respectively. The difference between the groups was statistically significant (p < 0001). Overall survival was 11 months (95% CI 7.5–14.5) in the low-prognostic nutritional index (prognostic nutritional index ≤38.5) group, and 41 months (95% CI 30.5–51.4) in the high prognostic nutritional index (prognostic nutritional index >38.5) group (p < 0.001). In Cox regression analysis, Eastern Cooperative Oncology Group performance score (HR: 2.5), time to systemic treatment (HR: 1.7) and prognostic nutritional index (HR: 1.8) were associated with overall survival. Conclusion In patients with renal cell cancer, prognostic nutritional index is closely related to survival and has prognostic significance.

Systemic immune inflammation index and treatment response in patients with metastatic renal cell cancer.

2018 ◽  
Vol 36 (6_suppl) ◽  
pp. 591-591 ◽  
Author(s):  
Kadriye Bir Yücel ◽  
Arzu Yasar ◽  
Gokhan Ucar ◽  
Gungor Utkan ◽  
Nuriye Yildirim ◽  
...  
Keyword(s):  
Overall Survival ◽  
Multivariate Analysis ◽  
Treatment Response ◽  
Renal Cell ◽  
Prognostic Value ◽  
Cox Regression ◽  
Performance Status ◽  
Univariate Analysis ◽  
Cell Cancer ◽  
Immune Inflammation

591 Background: To investigate the prognostic value of the pretreatment inflammatory characteristics on treatment response and survival. Methods: We included 151 patients with metastatic renal cell carcinoma (mRCC) Patients’ charts were retrospectively analyzed for their clinical, pathological and demographic features. Systemic immune inflammation index (SII) cut off is estimated with median value. Overall survival (OS) was estimated by Kaplan-Meier method for univariate analysis and Cox-regression for multivariate analysis. Results: In high SII group (SII > 844) overall survival is 11 months and in low SII group (SII < 844) overall survival is 22 months (p = 0,008). Median OS is lower in the hypercalcemic group (7 months vs.18 months, P = 0,013). In patients with anemia and thrombocytosis, OS is lower (41 months vs. 13 months p = 0,001 and 6 months vs. 18 months p = 0,01). In multivariate analysis, anemia, SII, and ECOG performance status were able to predict OS (HR = 2,69, HR = 2,04, HR = 2,57) Conclusions: In patients with mRCC, SII may have a prognostic value and higher score may related with decreased overall survival.

scholarly journals Association of Preoperative Prognostic Nutritional Index and Postoperative Acute Kidney Injury in Patients Who Underwent Hepatectomy for Hepatocellular Carcinoma

2021 ◽  
Vol 11 (5) ◽  
pp. 428
Author(s):  
Ji Hoon Sim ◽  
In-Gu Jun ◽  
Young-Jin Moon ◽  
A Rom Jeon ◽  
Sung-Hoon Kim ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Regression Analysis ◽  
Cox Regression ◽  
Kidney Injury ◽  
Prognostic Nutritional Index ◽  
Cox Regression Analysis ◽  
Nutritional Index ◽  
Open Hepatectomy ◽  
One Year ◽  
Postoperative Aki

Various biological indicators are reportedly associated with postoperative acute kidney injury (AKI) in the surgical treatment of hepatocellular carcinoma (HCC). However, only a few studies have evaluated the association between the preoperative prognostic nutritional index (PNI) and postoperative AKI. This study evaluated the association of the preoperative PNI and postoperative AKI in HCC patients. We retrospectively analyzed 817 patients who underwent open hepatectomy between December 2007 and December 2015. Multivariate regression analysis was performed to evaluate the association between the PNI and postoperative AKI. Additionally, we evaluated the association between the PNI and outcomes such as postoperative renal replacement therapy (RRT) and mortality. Cox regression analysis was performed to assess the risk factors for one-year and five-year mortality. In the multivariate analysis, high preoperative PNI was significantly associated with a lower incidence of postoperative AKI (odds ratio (OR): 0.92, 95% confidence interval (CI): 0.85 to 0.99, p = 0.021). Additionally, diabetes mellitus and the use of synthetic colloids were significantly associated with postoperative AKI. PNI was associated with postoperative RRT (OR: 0.76, 95% CI: 0.60 to 0.98, p = 0.032) even after adjusting for other potential confounding variables. In the Cox regression analysis, high PNI was significantly associated with low one-year mortality (Hazard ratio (HR): 0.87, 95% CI: 0.81 to 0.94, p < 0.001), and five-year mortality (HR: 0.93, 95% CI: 0.90–0.97, p < 0.001). High preoperative PNI was significantly associated with a lower incidence of postoperative AKI and low mortality. These results suggest that the preoperative PNI might be a predictor of postoperative AKI and surgical prognosis in HCC patients undergoing open hepatectomy.

Toxicities of axitinib, sunitinib and temsirolimus: implications for progression-free and overall survival in metastatic renal cell cancer

2020 ◽  
Author(s):  
Annemarie Uhlig ◽  
Johannes Uhlig ◽  
Lutz Trojan ◽  
Michael Woike ◽  
Marianne Leitsmann ◽  
...  
Keyword(s):  
Overall Survival ◽  
Cancer Patients ◽  
Skin Reaction ◽  
Renal Cell Cancer ◽  
Renal Cell ◽  
Cell Cancer ◽  
Progression Free Survival ◽  
Cox Models ◽  
Metastatic Renal Cell Cancer ◽  
Hand Foot Skin Reaction

The aim of this study was to evaluate the association between axitinib, sunitinib and temsirolimus toxicities and patient survival in metastatic renal cell cancer patients. Overall survival (OS) and progression-free survival (PFS) of metastatic renal cell cancer patients from the prospective multicenter STAR-TOR study were assessed using multivariable Cox models. A total of 1195 patients were included (n = 149 axitinib; n = 546 sunitinib; n = 500 temsirolimus). The following toxicities significantly predicted outcomes: hand–foot skin reaction (hazard ratio [HR] = 0.29) for PFS with axitinib; stomatitis (HR = 0.62) and pneumonitis (HR = 0.23) for PFS with temsirolimus; stomatitis (HR = 0.52) and thrombocytopenia (HR = 0.6) for OS with temsirolimus; fatigue (HR = 0.71) for PFS with sunitinib; hand–foot skin reaction (HR = 0.56) and fatigue (HR = 0.58) for OS with sunitinib. In conclusion, in metastatic renal cell cancer, axitinib, sunitinib and temsirolimus demonstrate specific toxicities that are protective OS/PFS predictors.

scholarly journals Development of an immune-related gene pairs signature for predicting clinical outcome in lung adenocarcinoma

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Chunlei Wu ◽  
Quanteng Hu ◽  
Dehua Ma
Keyword(s):  
Overall Survival ◽  
Regression Analysis ◽  
Lung Adenocarcinoma ◽  
Risk Score ◽  
Cox Regression ◽  
Related Gene ◽  
Cox Regression Analysis ◽  
Gene Pairs ◽  
Immune Related Gene ◽  
Pathological Subtype

AbstractLung adenocarcinoma (LUAD) is the main pathological subtype of Non-small cell lung cancer. We downloaded the gene expression profile and immune-related gene set from the TCGA and ImmPort database, respectively, to establish immune-related gene pairs (IRGPs). Then, IRGPs were subjected to univariate Cox regression analysis, LASSO regression analysis, and multivariable Cox regression analysis to screen and develop an IRGPs signature. The receiver operating characteristic curve (ROC) was applied for evaluating the predicting accuracy of this signature by calculating the area under ROC (AUC) and data from the GEO set was used to validate this signature. The relationship of 22 tumor-infiltrating immune cells (TIICs) to the immune risk score was also investigated. An IRGPs signature with 8 IRGPs was constructed. The AUC for 1- and 3-year overall survival in the TCGA set was 0.867 and 0.870, respectively. Similar results were observed in the AUCs of GEO set 1, 2 and 3 (GEO set 1 [1-year: 0.819; 3-year: 0.803]; GEO set 2 [1-year: 0.834; 3-year: 0.870]; GEO set 3 [1-year: 0.955; 3-year: 0.827]). Survival analysis demonstrated high-risk LUAD patients exhibited poorer prognosis. The multivariable Cox regression indicated that the risk score was an independent prognostic factor. The immune risk score was highly associated with several TIICs (Plasma cells, memory B cells, resting memory CD4 T cells, and activated NK cells). We developed a novel IRGPs signature for predicting 1- and 3- year overall survival in LUAD, which would be helpful for prognosis assessment of LUAD.

scholarly journals Bioinformatics-Based Identification of Tumor Microenvironment-Related Prognostic Genes in Pancreatic Cancer

2021 ◽  
Vol 12 ◽  
Author(s):  
Shaojie Chen ◽  
Feifei Huang ◽  
Shangxiang Chen ◽  
Yinting Chen ◽  
Jiajia Li ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Overall Survival ◽  
Regression Analysis ◽  
Tumor Microenvironment ◽  
Operating Characteristic ◽  
Cox Regression ◽  
Time Dependent ◽  
Concordance Index ◽  
Cox Regression Analysis ◽  
Score Model

ObjectiveGrowing evidence has highlighted that the immune and stromal cells that infiltrate in pancreatic cancer microenvironment significantly influence tumor progression. However, reliable microenvironment-related prognostic gene signatures are yet to be established. The present study aimed to elucidate tumor microenvironment-related prognostic genes in pancreatic cancer.MethodsWe applied the ESTIMATE algorithm to categorize patients with pancreatic cancer from TCGA dataset into high and low immune/stromal score groups and determined their differentially expressed genes. Then, univariate and LASSO Cox regression was performed to identify overall survival-related differentially expressed genes (DEGs). And multivariate Cox regression analysis was used to screen independent prognostic genes and construct a risk score model. Finally, the performance of the risk score model was evaluated by Kaplan-Meier curve, time-dependent receiver operating characteristic and Harrell’s concordance index.ResultsThe overall survival analysis demonstrated that high immune/stromal score groups were closely associated with poor prognosis. The multivariate Cox regression analysis indicated that the signatures of four genes, including TRPC7, CXCL10, CUX2, and COL2A1, were independent prognostic factors. Subsequently, the risk prediction model constructed by those genes was superior to AJCC staging as evaluated by time-dependent receiver operating characteristic and Harrell’s concordance index, and both KRAS and TP53 mutations were closely associated with high risk scores. In addition, CXCL10 was predominantly expressed by tumor associated macrophages and its receptor CXCR3 was highly expressed in T cells at the single-cell level.ConclusionsThis study comprehensively investigated the tumor microenvironment and verified immune/stromal-related biomarkers for pancreatic cancer.

scholarly journals Identification of a Liver Progenitor Cell-Related Genes Signature Predicting Overall Survival for Hepatocellular Carcinoma

2021 ◽  
Vol 20 ◽  
pp. 153303382110414
Author(s):  
Xiaoyong Li ◽  
Jiaqong Lin ◽  
Yuguo pan ◽  
Peng Cui ◽  
Jintang Xia
Keyword(s):  
Hepatocellular Carcinoma ◽  
Overall Survival ◽  
Regression Analysis ◽  
Prognostic Model ◽  
Cox Regression ◽  
Risk Group ◽  
Gene Signature ◽  
Regression Analyses ◽  
Related Gene ◽  
Cox Regression Analysis

Background: Liver progenitor cells (LPCs) play significant roles in the development and progression of hepatocellular carcinoma (HCC). However, no studies on the value of LPC-related genes for evaluating HCC prognosis exist. We developed a gene signature of LPC-related genes for prognostication in HCC. Methods: To identify LPC-related genes, we analyzed mRNA expression arrays from a dataset (GSE57812 & GSE 37071) containing LPCs, mature hepatocytes, and embryonic stem cell samples. HCC RNA-Seq data from The Cancer Genome Atlas (TCGA) were used to explore the differentially expressed genes (DEGs) related to prognosis through DEG analysis and univariate Cox regression analysis. Lasso and multivariate Cox regression analyses were performed to construct the LPC-related gene prognostic model in the TCGA training dataset. This model was validated in the TCGA testing set and an external dataset (International Cancer Genome Consortium [ICGC] dataset). Finally, we investigated the relationship between this prognostic model with tumor-node-metastasis stage, tumor grade, and vascular invasion of HCC. Results: Overall, 1770 genes were identified as LPC-related genes, of which 92 genes were identified as DEGs in HCC tissues compared with normal tissues. Furthermore, we randomly assigned patients from the TCGA dataset to the training and testing cohorts. Twenty-six DEGs correlated with overall survival (OS) in the univariate Cox regression analysis. Lasso and multivariate Cox regression analyses were performed in the TCGA training set, and a 3-gene signature was constructed to stratify patients into 2 risk groups: high-risk and low-risk. Patients in the high-risk group had significantly lower OS than those in the low-risk group. Receiver operating characteristic curve analysis confirmed the signature's predictive capacity. Moreover, the risk score was confirmed to be an independent predictor for patients with HCC. Conclusion: We demonstrated that the LPC-related gene signature can be used for prognostication in HCC. Thus, targeting LPCs may serve as a therapeutic alternative for HCC.

scholarly journals Incidence, Survival, and Associated Factors Estimation in Osteosarcoma Patients with Lung Metastasis: A Single-center Experience of 11 Years in Tianjin, China

2021 ◽  
Author(s):  
Chao Zhang ◽  
Haixiao Wu ◽  
Guijun Xu ◽  
Wenjuan Ma ◽  
Lisha Qi ◽  
...  
Keyword(s):  
Risk Factors ◽  
Overall Survival ◽  
Regression Analysis ◽  
Prognostic Factors ◽  
Lung Metastasis ◽  
Associated Factors ◽  
Cox Regression ◽  
Cancer Center ◽  
Single Center ◽  
Cox Regression Analysis

Abstract Background: Osteosarcoma is the most common primary malignant bone tumor. The current study was conducted to describe the general condition of patients with primary osteosarcoma in a single cancer center in Tianjin, China and to investigate the associated factors in osteosarcoma patients with lung metastasis. Methods: From February 2009 to October 2020, patients from Tianjin Medical University Cancer Institute and Hospital, China were retrospectively analyzed. The Kaplan–Meier method was used to evaluate the overall survival of osteosarcoma patients. Prognostic factors of patients with osteosarcoma were identified by the Cox proportional hazard regression analysis. Risk factor of lung metastasis in osteosarcoma were investigated by the logistic regression model. Results: A total of 203 patients were involved and 150 patients were successfully followed up for survival status. The 5-year survival rate of osteo-sarcoma patients was 70.0%. Surgery, bone and lung metastasis were the significant prognostic factors in multivariable Cox regression analysis. Twenty-one (10.3%) patients showed lung metastasis at the diagnosis of osteosarcoma and 67 (33%) lung metastases during the later course. T3 stage (OR=11.415, 95%CI 1.362-95.677, P=0.025) and synchronous bone metastasis (OR=6.437, 95%CI 1.69-24.51, P=0.006) were risk factors of synchronous lung metastasis occurrence. Good necrosis (≥90%, OR=0.097, 95%CI 0.028-0.332, P=0.000) and elevated Ki-67 (≥50%, OR=4.529, 95%CI 1.241-16.524, P=0.022) were proved to be significantly associated with metachronous lung metastasis occurrence. Conclusion: The overall survival, prognostic factors and risk factors for lung metastasis in this single center provided insight about osteosarcoma management.

Nephrectomy Followed by Interferon Alfa-2b Compared With Interferon Alfa-2b Alone for Metastatic Renal Cell Cancer

2021 ◽  
pp. 113-118
Author(s):  
Christopher Weight
Keyword(s):  
Renal Cell Carcinoma ◽  
Overall Survival ◽  
Cell Carcinoma ◽  
Metastatic Renal Cell Carcinoma ◽  
Renal Cell Cancer ◽  
Renal Cell ◽  
Performance Status ◽  
Cell Cancer ◽  
Interferon Alfa ◽  
Cytoreductive Nephrectomy

This chapter summarizes the findings of a landmark trial of cytoreductive nephrectomy in patients with metastatic renal cell carcinoma performed in the interferon era. All enrolled patients had a good performance status. It found overall survival extended by about 3 months in the cytoreductive-nephrectomy-plus-interferon arm versus the interferon-only arm.

Sign in / Sign up

Export Citation Format

Share Document