scholarly journals Prognostic Value of C-Reactive Protein, Glasgow Prognostic Score, and C-Reactive Protein-to-Albumin Ratio in Colorectal Cancer

2021 ◽  
Vol 9 ◽  
Author(s):  
Jiahui Zhou ◽  
Wene Wei ◽  
Hu Hou ◽  
Shufang Ning ◽  
Jilin Li ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Multivariate Analysis ◽  
Prognostic Factors ◽  
Roc Curve ◽  
Prognostic Score ◽  
Glasgow Prognostic Score ◽  
Stage I ◽  
C Reactive Protein ◽  
Albumin Ratio ◽  
Reactive Protein

Background: Emerging evidence suggests that inflammatory response biomarkers are predictive factors that can improve the accuracy of colorectal cancer (CRC) prognoses. We aimed to evaluate the prognostic significance of C-reactive protein (CRP), the Glasgow Prognostic Score (GPS), and the CRP-to-albumin ratio (CAR) in CRC.Methods: Overall, 307 stage I–III CRC patients and 72 colorectal liver metastases (CRLM) patients were enrolled between October 2013 and September 2019. We investigated the correlation between the pretreatment CRP, GPS, and CAR and the clinicopathological characteristics. The Cox proportional hazards model was used for univariate or multivariate analysis to assess potential prognostic factors. A receiver operating characteristic (ROC) curve was constructed to evaluate the predictive value of each prognostic score. We established CRC survival nomograms based on the prognostic scores of inflammation.Results: The optimal cutoff levels for the CAR for overall survival (OS) in all CRC patients, stage I–III CRC patients, and CRLM patients were 0.16, 0.14, and 0.25, respectively. Kaplan–Meier analysis and log-rank tests demonstrated that patients with high CRP, CAR, and GPS had poorer OS in CRC, both in the cohorts of stage I–III patients and CRLM patients. In the different cohorts of CRC patients, the area under the ROC curve (AUC) of these three markers were all high. Multivariate analysis indicated that the location of the primary tumor, pathological differentiation, and pretreatment carcinoembryonic antigen (CEA), CRP, GPS, and CAR were independent prognostic factors for OS in stage I–III patients and that CRP, GPS, and CAR were independent prognostic factors for OS in CRLM patients. The predictors in the prediction nomograms included the pretreatment CRP, GPS, and CAR.Conclusions: CRP, GPS, and CAR have independent prognostic values in patients with CRC. Furthermore, the survival nomograms based on CRP, GPS, and CAR can provide more valuable clinical significance.

scholarly journals Prognostic Nutritional Index After Chemoradiotherapy Was the Strongest Prognostic Predictor Among Biological and Conditional Factors in Localized Pancreatic Ductal Adenocarcinoma Patients

Cancers ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 514 ◽  
Author(s):  
Ichikawa ◽  
Mizuno ◽  
Hayasaki ◽  
Kishiwada ◽  
Fujii ◽  
...  
Keyword(s):  
Prognostic Factors ◽  
Pancreatic Ductal Adenocarcinoma ◽  
Prognostic Score ◽  
Glasgow Prognostic Score ◽  
Prognostic Nutritional Index ◽  
Ductal Adenocarcinoma ◽  
C Reactive Protein ◽  
Albumin Ratio ◽  
Reactive Protein ◽  
Nutritional Index

Background: In many malignancies, including pancreatic ductal adenocarcinoma (PDAC), host-related inflammatory/immunonutritional markers, such as the prognostic nutritional index (PNI), modified Glasgow prognostic score (mGPS), and C-reactive protein (CRP)/albumin ratio are reported to be prognostic factors. However, the prognostic influence of these factors before and after chemoradiotherapy (CRT) has not been studied in PDAC patients. Methods: Of 261 consecutive PDAC patients who were scheduled for CRT with gemcitabine or S1 plus gemcitabine between February 2005 and December 2015, participants in this study were 176 who completed CRT and had full data available on inflammatory/immunonutritional markers as well as on anatomical and biological factors for the investigation of prognostic/predictive factors. Results: In multivariate analysis, the significant prognostic factors were RECIST classification, cT category, performance status, post-CRT carcinoembryonic antigen, post-CRT C-reactive protein/albumin ratio, post-CRT mGPS, and post-CRT PNI. Post-CRT PNI (cut-off value, 39) was the strongest host-related prognostic factor according to the p-value. In the patients who underwent resection after CRT, median survival time (MST) was significantly shorter in the 12 patients with low PNI (<39) than in the 97 with high PNI (≥39), at 15.5 months versus 27.2 months, respectively (p = 0.0016). In the patients who did not undergo resection, MST was only 8.9 months in those with low PNI and 12.3 months in those with high PNI (p < 0.0001), and thus was similar to that of the resected patients with low PNI. Conclusions: Post-CRT PNI was the strongest prognostic/predictive indicator among the independent biological and conditional prognostic factors in PDAC patients who underwent CRT.

scholarly journals Clinical Impact of Combined Modified Glasgow Prognostic Score and C-Reactive Protein/Albumin Ratio in Patients with Colorectal Cancer

Diagnostics ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. 859
Author(s):  
Woosung Son ◽  
Su-Jin Shin ◽  
Su Hyeong Park ◽  
Soo Kyung Lee ◽  
Eun Jung Park ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Prognostic Score ◽  
Area Under The Curve ◽  
Glasgow Prognostic Score ◽  
Mean Difference ◽  
Prognostic Impact ◽  
C Reactive Protein ◽  
Albumin Ratio ◽  
Reactive Protein ◽  
Modified Glasgow Prognostic Score

The prognostic impact of the combination of the modified Glasgow prognostic score (mGPS) and C-reactive protein/albumin ratio (CAR) in colorectal cancer (CRC) is unclear. We aimed to investigate the clinical usefulness of this combination as a predictor of survival in CRC patients. We retrospectively evaluated 769 CRC patients who had undergone surgery between January 2006 and March 2014. The CAR and mGPS within 1 month postoperation were examined. The integrated area under the curve (iAUC) was compared among mGPS, CAR, and the combined classification (CC). The optimal CAR cut-off for discriminating overall survival was 0.14. Based on this cut-off, the mGPS 0 group was divided into the mGPS 0 with low CAR and the mGPS 0 with high CAR groups, whereas all mGPS 1 and 2 patients were classified into the high CAR group. CC was an independent prognostic factor, and its iAUC value (0.587, 95% CI 0.553–0.624) was superior to those of the mGPS (0.544, 95% CI 0.516–0.576) (bootstrap iAUC mean difference = 0.043; 95% CI = 0.015–0.072) and CAR (0.578, 95% CI 0.545–0.613) (bootstrap iAUC mean difference = 0.009; 95% CI = 0.002–0.017), respectively. In conclusion, the combination of mGPS and CAR has a synergistic effect and has a higher prognostic accuracy than mGPS or CAR alone in patients with CRC.

scholarly journals The Prognostic Role of Glasgow Prognostic Score and C-reactive Protein to Albumin Ratio for Sarcoma: A System Review and Meta-Analysis

2020 ◽  
Vol 2020 ◽  
pp. 1-14 ◽  
Author(s):  
Erhu Fang ◽  
Xiaolin Wang ◽  
Jiexiong Feng ◽  
Xiang Zhao
Keyword(s):  
Fixed Effects ◽  
Meta Analysis ◽  
Prognostic Score ◽  
Glasgow Prognostic Score ◽  
Fixed Effects Model ◽  
C Reactive Protein ◽  
Prognostic Role ◽  
Albumin Ratio ◽  
Reactive Protein

Backgrounds. Both pretreatment serum CRP (C-reactive protein) level and ALB (albumin) level have been found to be predictive of survival for multiple malignancies including sarcoma. Since both of the GPS (Glasgow prognostic score) and CAR (C-reactive protein to albumin ratio) are based on the combination of CRP and ALB, we conducted a meta-analysis to evaluate the prognostic role of these two parameters for sarcoma patients. Methods. A detailed literature search was conducted in MEDLINE, Embase, and Cochrane Library for relevant research publications written in English. Patients’ clinical characteristics, outcomes of overall survival (OS), disease-specific survival (DSS), and disease-free survival (DFS) were extracted. Pooled hazard ratios (HRs) and corresponding 95% confidence intervals (CIs) were combined to evaluate the prognostic role of GPS or CAR. Results. Twelve articles containing 2695 patients were identified as eligible studies. The results showed that an elevated GPS was significantly correlated with poor OS (HR=2.42; 95% CI: 1.98-2.94; p<0.001; fixed-effects model), DSS (HR=2.28; 95% CI: 1.75-2.97; p<0.001; fixed-effects model), and DFS (HR=2.05; 95% CI: 1.62-2.60; p<0.001; fixed-effects model). A higher CAR also was shown to be significantly correlated with poor OS (HR=2.23; 95% CI: 1.70-2.92; p<0.001; fixed-effects model) and DFS (HR=1.81; 95% CI: 1.7-2.58; p=0.001; fixed-effects model). Conclusion. An elevated GPS is predictive of poor survival in patients with sarcomas and is promising to be used as a factor for risk stratification. A higher CAR value is also predictive of poor survival; however, the optimal CAR cut-off value is still to be determined.

scholarly journals C-Reactive Protein to Albumin Ratio: A Reliable Marker in Colorectal Cancer

2021 ◽  
Vol 31 (1) ◽  
pp. 35-42
Author(s):  
Özlem Zeliha Sert ◽  
Hilmi Bozkurt ◽  
Tolga Ölmez ◽  
Emre Aray ◽  
Orhan Uzun ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
C Reactive Protein ◽  
Albumin Ratio ◽  
Reactive Protein ◽  
Reliable Marker

Fish Oil Decreases C-Reactive Protein/Albumin Ratio Improving Nutritional Prognosis and Plasma Fatty Acid Profile in Colorectal Cancer Patients

Lipids ◽  
2013 ◽  
Vol 48 (9) ◽  
pp. 879-888 ◽  
Author(s):  
Michel Carlos Mocellin ◽  
Juliana de Aguiar Pastore e Silva ◽  
Carolina de Quadros Camargo ◽  
Maria Emília de Souza Fabre ◽  
Scheila Gevaerd ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Fatty Acid ◽  
Fish Oil ◽  
Cancer Patients ◽  
Fatty Acid Profile ◽  
Plasma Fatty Acid ◽  
C Reactive Protein ◽  
Albumin Ratio ◽  
Reactive Protein ◽  
Colorectal Cancer Patients

scholarly journals Prognostic value of preoperative high-sensitivity modified Glasgow prognostic score in advanced colon cancer: a retrospective observational study

BMC Cancer ◽  
2022 ◽  
Vol 22 (1) ◽  
Author(s):  
Kenta Kasahara ◽  
Masanobu Enomoto ◽  
Ryutaro Udo ◽  
Tomoya Tago ◽  
Junichi Mazaki ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Colon Cancer ◽  
Multivariate Analysis ◽  
Prognostic Value ◽  
Prognostic Score ◽  
Glasgow Prognostic Score ◽  
High Sensitivity ◽  
Prognostic Predictors ◽  
Advanced Colon Cancer ◽  
Significant Difference

Abstract Background Several studies have demonstrated that the preoperative Glasgow prognostic score (GPS) and modified GPS (mGPS) reflected the prognosis in patients undergoing curative surgery for colorectal cancer. However, there are no reports on long-term prognosis prediction using high-sensitivity mGPS (HS-GPS) in colorectal cancer. Therefore, this study aimed to calculate the prognostic value of preoperative HS-GPS in patients with colon cancer. Methods A cohort of 595 patients with advanced resectable colon cancer managed at our institution was analysed retrospectively. HS-GPS, GPS, and mGPS were evaluated for their ability to predict prognosis based on overall survival (OS) and recurrence-free survival (RFS). Results In the univariate analysis, HS-GPS was able to predict the prognosis with significant differences in OS but was not superior in assessing RFS. In the multivariate analysis of the HS-GPS model, age, pT, pN, and HS-GPS of 2 compared to HS-GPS of 0 (2 vs 0; hazard ratio [HR], 2.638; 95% confidence interval [CI], 1.046–6.650; P = 0.04) were identified as independent prognostic predictors of OS. In the multivariate analysis of the GPS model, GPS 2 vs 0 (HR, 1.444; 95% CI, 1.018–2.048; P = 0.04) and GPS 2 vs 1 (HR, 2.933; 95% CI, 1.209–7.144; P = 0.017), and in that of the mGPS model, mGPS 2 vs 0 (HR, 1.51; 95% CI, 1.066–2.140; P = 0.02) were independent prognostic predictors of OS. In each classification, GPS outperformed HS-GPS in predicting OS with a significant difference in the area under the receiver operating characteristic curve. In the multivariate analysis of the GPS model, GPS 2 vs 0 (HR, 1.537; 95% CI, 1.190–1.987; P = 0.002), and in that of the mGPS model, pN, CEA were independent prognostic predictors of RFS. Conclusion HS-GPS is useful for predicting the prognosis of resectable advanced colon cancer. However, GPS may be more useful than HS-GPS as a prognostic model for advanced colon cancer.

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