Dataset Information

Glasgow prognostic score is a better predictor of the long-term survival in patients with gastric cancer, compared to the modified Glasgow prognostic score or high-sensitivity modified Glasgow prognostic score.

ABSTRACT:

Background

Inflammation influences cancer progression by increasing catabolism and impairing nutrient absorption. We compared the prognostic ability of three inflammation-based prognostic scoring systems-the Glasgow prognostic score (GPS), modified GPS (mGPS), and high-sensitivity mGPS (HS-mGPS)-in gastric cancer patients.

Materials and methods

We retrospectively examined 434 curatively resected gastric cancer patients to evaluate the prognostic ability of scoring systems for overall survival (OS) and cancer-specific survival (CSS).

Results

OS analysis identified the following independent prognostic factors: GPS model: pathological stage (pStage, p < 0.001), carcinoembryonic antigen (CEA, p = 0.004), and GPS 1 (hazard ratio [HR], 1.929; 95% confidence interval [CI], 1.152-3.228; p = 0.013); mGPS model: body mass index (BMI, p = 0.027), pStage (p < 0.001), and CEA (p < 0.001); HS-mGPS model: BMI (p = 0.029), pStage (p < 0.001), and CEA (p = 0.003). mGPS and HS-mGPS were not independent prognostic factors for OS. CSS analysis of the GPS model identified pStage (p < 0.001), CEA (p = 0.015), and GPS 1 (HR; 2.095, 95% CI; 1.025-4.283; p = 0.043) and 2 (HR, 2.812; 95% CI, 1.111-7.116; p = 0.029) as independent prognostic factors; however, mGPS and HS-mGPS were not independent prognostic factors for CSS. Log-rank tests demonstrated significant differences in OS among patients with GPS 0 vs. 1 (p < 0.001) and 0 vs. 2 (p < 0.001) and in CSS among the three GPS (0 vs. 1; p = 0.005, 0 vs. 2; p < 0.001, 1 vs. 2; p = 0.009).

Conclusions

GPS most reliably predicts long-term survival of gastric cancer patients.

SUBMITTER: Hirahara N

PROVIDER: S-EPMC7665228 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Glasgow prognostic score is a better predictor of the long-term survival in patients with gastric cancer, compared to the modified Glasgow prognostic score or high-sensitivity modified Glasgow prognostic score.

Hirahara Noriyuki N Matsubara Takeshi T Kaji Shunsuke S Kawabata Yasunari Y Hyakudomi Ryoji R Yamamoto Tetsu T Uchida Yuki Y Ishitobi Kazunari K Takai Kiyoe K Tajima Yoshitsugu Y

Oncotarget 20201110 45

<h4>Background</h4>Inflammation influences cancer progression by increasing catabolism and impairing nutrient absorption. We compared the prognostic ability of three inflammation-based prognostic scoring systems-the Glasgow prognostic score (GPS), modified GPS (mGPS), and high-sensitivity mGPS (HS-mGPS)-in gastric cancer patients.<h4>Materials and methods</h4>We retrospectively examined 434 curatively resected gastric cancer patients to evaluate the prognostic ability of scoring systems for over ...[more]

PMID: 33227100

Similar Datasets

Project description:ObjectiveHandgrip strength (HGS) and the high-sensitivity modified Glasgow prognostic score (HS-mGPS) are associated with the survival of patients with cancer. However, no studies have investigated the combined effect of HGS and HS-mGPS on the overall survival (OS) of patients with colon cancer.MethodsProspective follow-up data of colon cancer patients undergoing radical resection from April, 2016 to September, 2019 were retrospectively collected. We combined the HGS and HS-mGPS to create a new composite index, HGS-HS-mGPS. The hazard ratio (HR) and 95% confidence interval (CI) were calculated using Cox regression models to assess the association between variables and OS. Risk factors on OS rates were investigated by Cox analyses and the nomogram was constructed using significant predictors and HGS-HS-mGPS. The predictive performance of the nomogram was evaluated by receiver operating characteristic curve and calibration curve.ResultsThis study included a total of 811 patients, of which 446 (55.0%) were male. The HGS optimal cut-off values of male and female patients were 28.8 and 19.72 kg, respectively. Multivariate analysis revealed that low HGS and high HS-mGPS were independent risk factors of colon cancer after adjusting confounders (adjusted HR = 3.20; 95% CI: 2.27-4.50; p < 0.001 and adjusted HR = 1.55; 95% CI: 1.12-2.14; p = 0.008 respectively). Patients with low HGS and high HS-mGPS had a 10.76-fold higher mortality risk than those with neither (adjusted HR = 10.76; 95% CI: 5.38-21.54; p < 0.001). A nomogram predicting 1-, 3-, and 5 year OS was constructed based on three clinicopathologic prognostic factors. Importantly, incorporating HGS-HS-mGPS into the nomogram model meaningfully improved the predictive performance. The decision curve analyses demonstrated the application value of the HGS-HS-mGPS nomogram for predicting OS of patients with colon cancer.ConclusionHGS-HS-mGPS is associated with the survival of patients with colon cancer. These findings indicate the usefulness of HGS and HS-mGPS measurements in clinical practice for improving patient assessment, cancer prognosis, and precise intervention.

Project description:The Glasgow prognostic score, a marker of systemic inflammation, is associated with clinical outcomes in different cancers including prostate cancer. However, there is no evidence for the relationship between the high-sensitivity modified Glasgow prognostic score (Hs-mGPS) in prostate cancer and its prognosis. This study aimed to investigate the prognostic significance of Hs-mGPS in castration-resistant prostate cancer (CRPC) treated with docetaxel. We retrospectively analyzed clinical datasets from 131 CRPC patients who received docetaxel treatment at Chiba University Hospital and a related hospital. Clinical factors including Hs-mGPS before docetaxel treatment were evaluated according to overall survival. The numbers of patients with Hs-mGPS of 0, 1, and 2 were 88, 30, and 13, respectively. The median prostate-specific antigen (PSA) level was 28.9 ng/mL. The median testosterone level was 13.0 ng/dL. The percentages of bone and visceral metastases were 80.8% and 10.2%, respectively. For overall survival, Hs-mGPS ≥ 1 (hazard ratio of 2.41; p = 0.0048), testosterone ≥ 13.0 ng/dL (hazard ratio of 2.23; p = 0.0117), and PSA ≥ 28.9 ng/mL (hazard ratio of 2.36; p = 0.0097) were significant poor prognostic factors in the multivariate analysis. The results of the two-group analysis showed that a higher Hs-mGPS was associated with high PSA, alkaline phosphatase, and testosterone levels. The median testosterone levels for Hs-mGPS of 0, 1, and 2 were 9.0, 16.5, and 23.0, respectively. Based on the multivariate analysis, we created a combined score with three prognostic factors: Hs-mGPS, testosterone, and PSA. The low-risk group (score of 0-1) showed a significantly longer overall survival compared to the intermediate-risk (score of 2-3) and high-risk (score of 4) groups (p < 0.0001). Our results demonstrated that an elevated Hs-mGPS was an independent prognostic factor in CRPC patients treated with docetaxel therapy. Risk classification based on Hs-mGPS, testosterone, and PSA may be useful in predicting the prognosis of CRPC patients.

Project description:BackgroundSerum biomarkers are often used as part of preoperative prediction strategies to help assess a patient's surgical risk and prognosis. The high-sensitivity modified Glasgow prognostic score (HS-mGPS) has been shown to offer better predictive accuracy compared to the traditional Glasgow prognostic score (GPS) and the modified Glasgow prognostic score (mGPS) in various cancers, but its ability to predict outcomes in patients with resected intrahepatic cholangiocarcinoma (ICC) has not been well-studied. The aim of the study was to investigate the prognostic value of HS-mGPS in ICC and its subtypes.MethodsThis study was a single-center retrospective study. All patients who were pathologically diagnosed with ICC after surgery in Nanjing Drum Tower Hospital from 2012 and 2022. Relevant laboratory data such as serum C-reactive protein (CRP), albumin (ALB), neutrophils, lymphocytes, and platelets were included. Overall survival (OS) information was collected, serum CRP and ALB level were used for scoring GPS, mGPS and HS-mGPS. Univariate and multivariate analyses were conducted to identify factors influencing prognosis by using Kaplan-Meier (KM) curve and Cox proportional hazards models. Additionally, through histological analysis, ICC was classified into large duct type (LD-type) and small duct type (SD-type), and the performance of the three scoring systems in these subtypes was examined.ResultsA total of 185 patients were included in this study, 57 cases were of the LD-type, and 128 cases were of the SD-type. Tumor subtypes was a significant factor influencing prognosis for all ICC patients [hazard ratio (HR) =1.76, 95% confidence interval (CI): 1.036-2.994, P=0.04]. HS-mGPS demonstrated a better ability to predict outcomes compared to GPS and mGPS, and was an independent prognostic factor of OS (HR =2.1, 95% CI: 1.001-4.374, P=0.049). HS-mGPS was also more effective in predicting prognosis for SD-type ICC compared to GPS and mGPS (HR =3.13, 95% CI: 1.018-9.604, P=0.046), while it was ineffective for LD-type ICC. Further analysis revealed that SD-type ICC with higher HS-mGPS scores typically had larger tumors and poorer differentiation, while LD-type ICC showed no significant differences.ConclusionsHS-mGPS provides a more accurate prognostic indication for SD-type, but its effectiveness for LD-type requires further investigation with larger sample sizes. Therefore, for preoperatively biopsy-diagnosed SD-type ICC, the HS-mGPS has a certain level of prognostic predictive potential.

Dataset Information

Glasgow prognostic score is a better predictor of the long-term survival in patients with gastric cancer, compared to the modified Glasgow prognostic score or high-sensitivity modified Glasgow prognostic score.

Background

Materials and methods

Results

Conclusions

Publications

Glasgow prognostic score is a better predictor of the long-term survival in patients with gastric cancer, compared to the modified Glasgow prognostic score or high-sensitivity modified Glasgow prognostic score.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets