Cargando…

A Predictive Scoring System Based on Inflammatory and Tumor Markers for Gastric Cancer Patients Undergoing Curative Resection

PURPOSE: Inflammation is closely associated with prognosis in gastric cancer (GC). We aimed to assess the predictive value of existing inflammatory and tumor markers in GC, to establish a systemic score based on valuable predictors for early risk stratification of patients, and to create a nomogram...

Descripción completa

Detalles Bibliográficos
Autores principales: Feng, Li-Wen, Li, Jing, Liang, Li-Feng, Guo, Qian-Qian, Li, Jiang, Wu, Jian, Zhang, Pei-Hua, Qin, Yan-Ru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7263882/
https://www.ncbi.nlm.nih.gov/pubmed/32547229
http://dx.doi.org/10.2147/CMAR.S250408
_version_ 1783540868591910912
author Feng, Li-Wen
Li, Jing
Liang, Li-Feng
Guo, Qian-Qian
Li, Jiang
Wu, Jian
Zhang, Pei-Hua
Qin, Yan-Ru
author_facet Feng, Li-Wen
Li, Jing
Liang, Li-Feng
Guo, Qian-Qian
Li, Jiang
Wu, Jian
Zhang, Pei-Hua
Qin, Yan-Ru
author_sort Feng, Li-Wen
collection PubMed
description PURPOSE: Inflammation is closely associated with prognosis in gastric cancer (GC). We aimed to assess the predictive value of existing inflammatory and tumor markers in GC, to establish a systemic score based on valuable predictors for early risk stratification of patients, and to create a nomogram for individual risk prediction. PATIENTS AND METHODS: We retrospectively analyzed 401 GC patients who underwent curative gastrectomy from 2007 to 2016. RESULTS: Through univariate and multivariate survival analysis, age (>60 years), depth of invasion (pT3–4), lymph node invasion (pN1–3), histologic classification (poor), adjuvant chemotherapy (no), albumin fibrinogen ratio (AFR) (<13.33), and carbohydrate antigen 19-9 (CA19-9) (>27 U/mL) independently indicated inferior disease-free survival (DFS). In addition, depth of invasion, lymph node invasion, histologic classification, adjuvant chemotherapy, AFR, and CA19-9 were incorporated in the prediction of cancer-specific survival (CSS). A combined AFR and CA19-9 prognostic score (CACPS) was established. Lower AFR (<13.33) and higher CA19-9 (>27 U/mL) were allocated 1 point each in the CACPS (range, 0–2). CACPS can be used as an independent predictor for DFS and CSS in multivariate analysis (for DFS: CACPS 1: HR=2.039, 95% CI: 1.357–3.065, P=0.001; CACPS 2: HR=2.419, 95% CI: 1.397–4.186, P=0.002; for CSS: CACPS 1: HR=2.035, 95% CI: 1.292–3.205, P=0.002; CACPS 2: HR=2.255, 95% CI: 1.252–4.059, P=0.007), with a higher CACPS indicating poor survival according to Kaplan–Meier curves (both P<0.001). Moreover, a nomogram for DFS and CSS was generated using the significant characteristics in the multivariate analysis, which exhibited high accuracy (for DFS: C-index=0.743, 95% CI: 0.698–0.788; for CSS: C-index=0.766, 95% CI: 0.718–0.814) versus tumor–node–metastasis staging (for DFS: C-index=0.692, 95% CI: 0.650–0.734; for CSS: C-index=0.720, 95% CI: 0.675–0.764). CONCLUSION: Preoperative CACPS exhibited high accuracy in predicting prognosis for GC patients who underwent curative resection.
format Online
Article
Text
id pubmed-7263882
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Dove
record_format MEDLINE/PubMed
spelling pubmed-72638822020-06-15 A Predictive Scoring System Based on Inflammatory and Tumor Markers for Gastric Cancer Patients Undergoing Curative Resection Feng, Li-Wen Li, Jing Liang, Li-Feng Guo, Qian-Qian Li, Jiang Wu, Jian Zhang, Pei-Hua Qin, Yan-Ru Cancer Manag Res Original Research PURPOSE: Inflammation is closely associated with prognosis in gastric cancer (GC). We aimed to assess the predictive value of existing inflammatory and tumor markers in GC, to establish a systemic score based on valuable predictors for early risk stratification of patients, and to create a nomogram for individual risk prediction. PATIENTS AND METHODS: We retrospectively analyzed 401 GC patients who underwent curative gastrectomy from 2007 to 2016. RESULTS: Through univariate and multivariate survival analysis, age (>60 years), depth of invasion (pT3–4), lymph node invasion (pN1–3), histologic classification (poor), adjuvant chemotherapy (no), albumin fibrinogen ratio (AFR) (<13.33), and carbohydrate antigen 19-9 (CA19-9) (>27 U/mL) independently indicated inferior disease-free survival (DFS). In addition, depth of invasion, lymph node invasion, histologic classification, adjuvant chemotherapy, AFR, and CA19-9 were incorporated in the prediction of cancer-specific survival (CSS). A combined AFR and CA19-9 prognostic score (CACPS) was established. Lower AFR (<13.33) and higher CA19-9 (>27 U/mL) were allocated 1 point each in the CACPS (range, 0–2). CACPS can be used as an independent predictor for DFS and CSS in multivariate analysis (for DFS: CACPS 1: HR=2.039, 95% CI: 1.357–3.065, P=0.001; CACPS 2: HR=2.419, 95% CI: 1.397–4.186, P=0.002; for CSS: CACPS 1: HR=2.035, 95% CI: 1.292–3.205, P=0.002; CACPS 2: HR=2.255, 95% CI: 1.252–4.059, P=0.007), with a higher CACPS indicating poor survival according to Kaplan–Meier curves (both P<0.001). Moreover, a nomogram for DFS and CSS was generated using the significant characteristics in the multivariate analysis, which exhibited high accuracy (for DFS: C-index=0.743, 95% CI: 0.698–0.788; for CSS: C-index=0.766, 95% CI: 0.718–0.814) versus tumor–node–metastasis staging (for DFS: C-index=0.692, 95% CI: 0.650–0.734; for CSS: C-index=0.720, 95% CI: 0.675–0.764). CONCLUSION: Preoperative CACPS exhibited high accuracy in predicting prognosis for GC patients who underwent curative resection. Dove 2020-05-26 /pmc/articles/PMC7263882/ /pubmed/32547229 http://dx.doi.org/10.2147/CMAR.S250408 Text en © 2020 Feng et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Feng, Li-Wen
Li, Jing
Liang, Li-Feng
Guo, Qian-Qian
Li, Jiang
Wu, Jian
Zhang, Pei-Hua
Qin, Yan-Ru
A Predictive Scoring System Based on Inflammatory and Tumor Markers for Gastric Cancer Patients Undergoing Curative Resection
title A Predictive Scoring System Based on Inflammatory and Tumor Markers for Gastric Cancer Patients Undergoing Curative Resection
title_full A Predictive Scoring System Based on Inflammatory and Tumor Markers for Gastric Cancer Patients Undergoing Curative Resection
title_fullStr A Predictive Scoring System Based on Inflammatory and Tumor Markers for Gastric Cancer Patients Undergoing Curative Resection
title_full_unstemmed A Predictive Scoring System Based on Inflammatory and Tumor Markers for Gastric Cancer Patients Undergoing Curative Resection
title_short A Predictive Scoring System Based on Inflammatory and Tumor Markers for Gastric Cancer Patients Undergoing Curative Resection
title_sort predictive scoring system based on inflammatory and tumor markers for gastric cancer patients undergoing curative resection
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7263882/
https://www.ncbi.nlm.nih.gov/pubmed/32547229
http://dx.doi.org/10.2147/CMAR.S250408
work_keys_str_mv AT fengliwen apredictivescoringsystembasedoninflammatoryandtumormarkersforgastriccancerpatientsundergoingcurativeresection
AT lijing apredictivescoringsystembasedoninflammatoryandtumormarkersforgastriccancerpatientsundergoingcurativeresection
AT lianglifeng apredictivescoringsystembasedoninflammatoryandtumormarkersforgastriccancerpatientsundergoingcurativeresection
AT guoqianqian apredictivescoringsystembasedoninflammatoryandtumormarkersforgastriccancerpatientsundergoingcurativeresection
AT lijiang apredictivescoringsystembasedoninflammatoryandtumormarkersforgastriccancerpatientsundergoingcurativeresection
AT wujian apredictivescoringsystembasedoninflammatoryandtumormarkersforgastriccancerpatientsundergoingcurativeresection
AT zhangpeihua apredictivescoringsystembasedoninflammatoryandtumormarkersforgastriccancerpatientsundergoingcurativeresection
AT qinyanru apredictivescoringsystembasedoninflammatoryandtumormarkersforgastriccancerpatientsundergoingcurativeresection
AT fengliwen predictivescoringsystembasedoninflammatoryandtumormarkersforgastriccancerpatientsundergoingcurativeresection
AT lijing predictivescoringsystembasedoninflammatoryandtumormarkersforgastriccancerpatientsundergoingcurativeresection
AT lianglifeng predictivescoringsystembasedoninflammatoryandtumormarkersforgastriccancerpatientsundergoingcurativeresection
AT guoqianqian predictivescoringsystembasedoninflammatoryandtumormarkersforgastriccancerpatientsundergoingcurativeresection
AT lijiang predictivescoringsystembasedoninflammatoryandtumormarkersforgastriccancerpatientsundergoingcurativeresection
AT wujian predictivescoringsystembasedoninflammatoryandtumormarkersforgastriccancerpatientsundergoingcurativeresection
AT zhangpeihua predictivescoringsystembasedoninflammatoryandtumormarkersforgastriccancerpatientsundergoingcurativeresection
AT qinyanru predictivescoringsystembasedoninflammatoryandtumormarkersforgastriccancerpatientsundergoingcurativeresection