The Glasgow Prognostic Score. An useful tool to predict survival in patients with advanced esophageal squamous cell carcinoma

Abstract Background To explore the postoperative prognosis of esophageal squamous cell carcinoma (ESCC) patients with stage IB/IIA, using a prognostic score (PS). Methods Stage IB/IIA ESCC patients who underwent esophagectomy from 1999 to 2010 were included. We retrospectively recruited 153 patients and extracted their medical records. Moreover, we analyzed the programmed death ligand-1 (PD-L1) expression of their paraffin tissue. The cohort were randomly divided into a training group (N = 123) and a validation group (N = 30). We selected overall survival (OS) as observed endpoint. Prognostic factors with a multivariable two-sided P < 0.05 met standard of covariate inclusion. Results Univariable and multivariable analyses identified pTNM stage, the number of lymph nodes (NLNs) and PD-L1 expression as independent OS predictors. Primary prognostic score which comprised above three covariates adversely related with OS in two cohorts. PS discrimination of OS was comparable between the training and internal validation cohorts (C-index = 0.774 and 0.801, respectively). In addition, the PS system had an advantage over pTNM stage in the identification of high-risk patients (C-index = 0.774 vs. C-index = 0.570, P < 0.001). Based on PS cutoff, training and validation datasets generated low-risk and high-risk groups with different OS. Our three-factor PS predicted OS (low-risk subgroup vs. high-risk subgroup 60-month OS, 74% vs. 23% for training cohort and 83% vs. 45% for validation cohort). Conclusion Our study suggested a PS for significant clinical stratification of IB/IIA ESCC to screen out subgroups with poor prognosis.

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The preoperative HALP score (hemoglobin, albumin, lymphocyte and platelet) is a useful predictor in patients with resectable esophageal squamous cell carcinoma

Bosnian Journal of Basic Medical Sciences ◽

10.17305/bjbms.2021.5666 ◽

2021 ◽

Author(s):

Ji-Feng Feng ◽

Liang Wang ◽

Xun Yang

Keyword(s):

Squamous Cell Carcinoma ◽

Prognostic Factor ◽

Esophageal Squamous Cell Carcinoma ◽

Cell Carcinoma ◽

Squamous Cell ◽

Roc Curve ◽

Curative Resection ◽

Cox Regression ◽

Prognostic Score ◽

Cancer Specific Survival

The hemoglobin, albumin, lymphocyte, and platelet (HALP) score has been confirmed as a prognostic factor in several types of cancers. The current study aimed to assess the prognostic value of preoperative HALP score, an inflammatory and nutritional based score, in predicting cancer-specific survival (CSS) in resectable patients undergoing curative resection for esophageal squamous cell carcinoma (ESCC). The clinical data of 355 consecutive patients with ESCC who underwent curative resection were retrospectively conducted and analyzed. The receiver operating characteristic (ROC) curve was used to determine the optimal cut-off value for preoperative HALP. The areas under the curve (AUC) for preoperative HALP and other variables were calculated and compared. Cox regression analyses and Kaplan-Meier methods were used to identify the factors associated with CSS. According to the ROC curve, the optimal cut-off value for preoperative HALP was 31.8. The 5-year CSS for preoperative HALP low (≤31.8) and high (>31.8) was 15.1% and 47.5%, respectively (p<0.001). Preoperative HALP had reliable abilities to predict CSS in resectable ESCC patients in any stage or gender, according to the subgroup analysis based on the patients' cancer stage and gender. Multivariate analyses confirmed that preoperative HALP was an independent prognostic score regarding CSS in patients with resectable ESCC (p<0.001). This study confirmed that the preoperative HALP score could be regarded as a potential independent prognostic factor for CSS in patients with resectable ESCC.

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Real-world effectiveness of Glasgow prognostic score and tumor biomarkers in predicting post-relapse survival in patients with recurrent cervical cancer after minimally invasive surgery

10.21203/rs.3.rs-15854/v1 ◽

2020 ◽

Author(s):

Junhui Guo ◽

Yuanyuan Wang ◽

Xinxin Wang ◽

Shengli Zhou ◽

Peimin Liu

Keyword(s):

Cervical Cancer ◽

Squamous Cell Carcinoma ◽

Cell Carcinoma ◽

Clinical Data ◽

Squamous Cell ◽

Real World ◽

Prognostic Score ◽

Glasgow Prognostic Score ◽

Tumor Biomarkers ◽

Recurrent Cervical Cancer

Abstract Background Cervical cancer ranks the third most common malignancy of women worldwide, and recurrence of cervical cancer treatment is the major concern. Carcinoembryonic antigen (CEA), carbohydrate antigen 125 (CA125), squamous cell carcinoma antigen (SCCA) and Glasgow Prognostic Score (GPS) were potential prognostic indicator for cervical cancer. However, none of these markers have been evaluated to predict post-relapse survival in recurrent cervical cancer after treatment based on real-world clinical data. Aim To evaluate biomarkers CEA, CA125, SCCA and Glasgow Prognostic Score (GPS) in predicting post-relapse survival in recurrent cervical cancer after treatment based on real-world clinical data. Results Among the 1607 patients, the majority of patients (75.5%) were non-smokers, and the majority of histologic type (68.3%) was squamous cell carcinoma. Except CEA, there were significant difference between different GPS groups in these markers. Areas under the curves (AUC) for GPS, CEA, CA125 and SCCA were 0.632, 0.617, 0.641 and 0.628, respectively. All clinicopathologic characteristics were significantly correlated with CA125. Higher levels of biomarkers and GPS had lower survival and GPS=2 and SCCA was an independent prognostic factor for survival (P=0.008 and P=0.010, respectively). Conclusions In real-world settings, GPS and tumor biomarkers, especially SCCA to independently predict post-recurrence survival in patients with recurrent cervical cancer.

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