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Prognostic value of C-reactive protein/albumin ratio in predicting overall survival of Chinese cervical cancer patients overall survival: comparison among various inflammation based factors.

ABSTRACT: Background: Many studies have shown the prognostic value of inflammation based factors in different cancers. This work aimed to explore the prognostic value of pretreatment C-reactive protein/albumin (CRP/Alb) ratio in patients with cervical cancer, and compared to other inflammatory prognostic factors, such as neutrophil/lymphocyte ratio(NLR), Glasgow prognostic score (mGPS), prognostic index (PI), platelet/lymphocyte ratio (PLR), prognostic nutritional index (PNI), clinicopathological parameter and squamous cell carcinoma antigen (SCC-Ag). Methods: This study was a retrospective analysis of the data related to 229 patients with newly diagnosed cervical cancer. The potential prognostic factors were evaluated by univariate and multivariate survival analysis. The correlation between CRP/Alb ratio and other prognostic factors were analyzed by Chi-Square or Fisher's exact test. Results: Multivariate analyses showed that CRP/Alb ratio was an independent predictor of overall survival (OS) in cervical squamous cell carcinoma (SCC) (HR, hazard ratio = 2.529; p = 0.045), but not in all cases of cervical cancer. However, NLR was a prognostic factor in the whole cervical cancer (HR = 2.47; p = 0.020) as well as in SCC subgroup (HR = 2.28; p = 0.038). Spearman's rank correlation analysis revealed that NLR showed a positive correlation with CRP/Alb ratio (p < 0.001). The combined index of NLR and CRP/Alb ratio could enhance the prognostic value compared to NLR or CRP/Alb ratio alone. Moreover, a high CRP/Alb ratio > 0.022 was associated with older patients (p < 0.001) and more advanced International Federation of Gynecology and Obstetrics (FIGO) stages (p < 0.001). In addition, NLR and CRP/Alb ratio were associated with SCC-Ag concentration in SCC. Furthermore, CRP/Alb ratio was a superior prognosis factor than mGPS, PI, PLR and PNI in SCC. Moreover, positive correlation was present among SCC-Ag, NLR and CRP/Alb ratio. Conclusions: CRP/Alb ratio might be considered as a novel prognosis factor and combined with NLR could improve the accuracy of OS prediction in patients with cervical cancer as well as its most common histological SCC subtypes.

SUBMITTER: He X

PROVIDER: S-EPMC5968777 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

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Prognostic value of C-reactive protein/albumin ratio in predicting overall survival of Chinese cervical cancer patients overall survival: comparison among various inflammation based factors.

He Xia X Li Jian-Pei JP Liu Xiao-Hua XH Zhang Jing-Ping JP Zeng Qiu-Yao QY Chen Hao H Chen Shu-Lin SL

Journal of Cancer 20180427 10

<b>Background:</b> Many studies have shown the prognostic value of inflammation based factors in different cancers. This work aimed to explore the prognostic value of pretreatment C-reactive protein/albumin (CRP/Alb) ratio in patients with cervical cancer, and compared to other inflammatory prognostic factors, such as neutrophil/lymphocyte ratio(NLR), Glasgow prognostic score (mGPS), prognostic index (PI), platelet/lymphocyte ratio (PLR), prognostic nutritional index (PNI), clinicopathological p ...[more]

PMID: 29805715

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Project description: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.

Project description:With COVID-19 still hovering around and threatening the lives of many at-risk patients, an effective, quick, and inexpensive prognostic method is required. Few studies have shown fibrinogen to albumin ratio (FAR) and C-reactive protein to albumin ratio (CAR) to be promising as prognostic markers for COVID-19 disease. However, their implications remain unclear. This meta-analysis aimed to elucidate the prognostic role of FAR and CAR in COVID-19 disease. A systematic literature search was undertaken using PubMed and Embase till April 2022. Inverse variance standardised mean difference (SMD) was calculated to report the overall effect size using random effect models. The generic inverse variance random-effects method was used to pool the area under the curve (AUC) values. All statistical analyses were performed on Revman and MedCalc Software. A total of 23 studies were included. COVID-19 non-survivors had a higher CAR on admission compared with survivors (SMD = 1.79 [1.04, 2.55]; p < 0.00001; I2 = 97%) and patients with a severe COVID-19 infection had a higher CAR on admission than non-severe patients (SMD = 1.21 [0.54, 1.89]; p = 0.0004; I2 = 97%). Similarly, higher mean FAR values on admission were significantly associated with COVID-19 mortality (SMD = 0.55 [0.32, 0.78]; p < 0.00001; I2 = 82%). However, no significant association was found between mean FAR on admission and COVID-19 severity (SMD = 0.54 [-0.09, 1.18]; p = 0.09; I2 = 91%). The pooled AUC values found that CAR had a good discriminatory-power to predict COVID-19 severity (AUC = 0.81 [0.75, 0.86]; p < 0.00001; I2 = 80%) and mortality (AUC = 0.81 [0.74, 0.87]; p < 0.00001; I2 = 86%). FAR had a fair discriminatory-power to predict COVID-19 severity (AUC = 0.73 [0.64, 0.82]; p < 0.00001; I2 = 89%). Overall, CAR was a good predictor of both severity and mortality associated with COVID-19 infection. Similarly, FAR was a satisfactory predictor of COVID-19 mortality but not severity.

Project description:The preoperative C-reactive protein/Albumin ratio (CAR) is valuable for predicting the prognosis of patients with various types of cancers. The aim of the present study is to investigate the prognostic value of the preoperative CAR and compare it with other systemic inflammatory response markers in patients with soft tissue sarcoma (STS).This retrospective study included 206 patients with STS. The optimal cutoff value of the CAR was determined by receiver operating characteristic (ROC) analysis. The impact of the CAR and other clinicopathological features on overall survival (OS) and disease-free survival (DFS) was evaluated using univariate and multivariate Cox regression analyses. Kaplan-Meier survival analyses were used to compare groups classified by the CAR. Additionally, the area under the receiver operating characteristic curve (AUC) was used to compare the predictive ability of the CAR, high-sensitivity modified Glasgow prognostic score (Hs-mGPS), neutrophil-lymphocyte ratio (NLR) and platelet-lymphocyte ratio (PLR).The optimal cut-off value of the CAR was 0.1035 according to the ROC analysis. An increased CAR (?0.1035) was significantly associated with older age, larger tumor size, deep tumor location, higher tumor grade and more advanced American Joint Committee on Cancer (AJCC) stage (all P<0.05). Patients with an elevated CAR (?0.1035) exhibited a shorter median survival time and lower 5-year OS rate than those with a CAR<0.1035 (68.2 vs 115.8 months, P = 0.000; 44.6% vs 80.9%, P = 0.000, respectively). The results of a multivariate analysis indicated that the CAR (Hazard ratio (HR) 2.47, 95% confidence interval (CI) 1.47-4.14, P = 0.001) was an independent prognostic factor for OS along with tumor grade (P<0.05). Additionally, the CAR exhibited a greater AUC value (0.662) than the NLR and PLR, but the value was equal to the Hs-mGPS.The preoperative CAR is an independent prognostic factor predicting prognosis in STS and exhibits superior prognostic ability compared to the established inflammation-based prognostic indices.

Dataset Information

Prognostic value of C-reactive protein/albumin ratio in predicting overall survival of Chinese cervical cancer patients overall survival: comparison among various inflammation based factors.

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Prognostic value of C-reactive protein/albumin ratio in predicting overall survival of Chinese cervical cancer patients overall survival: comparison among various inflammation based factors.

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