The Efficacy of Different Inflammatory Markers for the Prognosis of Patients with Malignant Tumors

Kaiwen Zheng &ast;, Xiangliang Liu &ast;, Wei Ji &ast;, Jin Lu, Jiuwei Cui, Wei Li Cancer Center, the First Hospital of JiLin University, Changchun, Jilin, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Jiuwei Cui; Wei Li Email cuijw@jlu....

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Zheng K, Liu X, Ji W, Lu J, Cui J, Li W
Formato:	article
Lenguaje:	EN
Publicado:	Dove Medical Press 2021
Materias:	cancer inflammatory markers nutritional status overall survival Pathology RB1-214 Therapeutics. Pharmacology RM1-950
Acceso en línea:	https://doaj.org/article/a9ffa13d67054e4f86f3e22e3fef3735
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:a9ffa13d67054e4f86f3e22e3fef3735
record_format	dspace
spelling	oai:doaj.org-article:a9ffa13d67054e4f86f3e22e3fef37352021-12-02T19:31:58ZThe Efficacy of Different Inflammatory Markers for the Prognosis of Patients with Malignant Tumors1178-7031https://doaj.org/article/a9ffa13d67054e4f86f3e22e3fef37352021-11-01T00:00:00Zhttps://www.dovepress.com/the-efficacy-of-different-inflammatory-markers-for-the-prognosis-of-pa-peer-reviewed-fulltext-article-JIRhttps://doaj.org/toc/1178-7031Kaiwen Zheng &ast;, Xiangliang Liu &ast;, Wei Ji &ast;, Jin Lu, Jiuwei Cui, Wei Li Cancer Center, the First Hospital of JiLin University, Changchun, Jilin, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Jiuwei Cui; Wei Li Email cuijw@jlu.edu.cn; liwei66@jlu.edu.cnBackground: Inflammation is considered essential in cancer progression, as it affects the nutritional status and prognosis of patients. In this study, we aim to analyze the efficacy of various inflammatory markers in predicting prognosis in cancer patients.Methods: Patients with malignant tumor were included as primary and validation cohort. Basic clinical information, anthropometric indicators, body composition analysis, and serological indicators were recorded. After proposing the optimal thresholds by time-dependent receiver operating characteristic (ROC), univariate and multivariate Cox regression analyses were performed to analyze the association between inflammatory markers and overall survival (OS). A nomogram was established to develop a scored-inflammatory marker system. Eight inflammatory models based on combinations of inflammatory markers were assessed. Cox regression analysis was used to analyze the relationship of each inflammatory model and mortality of participants. Then, subanalysis of specific tumor types was conducted by Cox regression. Logistic regression models were used to analyze the relationship between different inflammatory models and malnutrition.Results: Univariate and multivariate Cox regression analyses indicated that pack-years of cigarette smoking, C-reactive protein (CRP), and systemic immune-inflammation index (SII) were related to the OS of cancer patients. A nomogram was constructed to develop a scored-inflammatory marker system. Among the eight inflammatory models, patients in model A had worst prognosis compared with patients in other models. Subanalysis next showed lung cancer, breast cancer and digestive system neoplasms patients in model A suffered the worst prognosis. Logistic regression indicated that model A was also with predictive value for malnutrition.Conclusion: A scored-inflammatory marker system was established to predict the OS of cancer patients. The inflammatory models established in this study can be used to predict prognosis, as well as cancer-related malnutrition. Inflammatory model A suffered the worst OS and was with the predictive efficacy for malnutrition.Keywords: cancer, inflammatory markers, nutritional status, overall survivalZheng KLiu XJi WLu JCui JLi WDove Medical Pressarticlecancerinflammatory markersnutritional statusoverall survivalPathologyRB1-214Therapeutics. PharmacologyRM1-950ENJournal of Inflammation Research, Vol Volume 14, Pp 5769-5785 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	cancer inflammatory markers nutritional status overall survival Pathology RB1-214 Therapeutics. Pharmacology RM1-950
spellingShingle	cancer inflammatory markers nutritional status overall survival Pathology RB1-214 Therapeutics. Pharmacology RM1-950 Zheng K Liu X Ji W Lu J Cui J Li W The Efficacy of Different Inflammatory Markers for the Prognosis of Patients with Malignant Tumors
description	Kaiwen Zheng &ast;, Xiangliang Liu &ast;, Wei Ji &ast;, Jin Lu, Jiuwei Cui, Wei Li Cancer Center, the First Hospital of JiLin University, Changchun, Jilin, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Jiuwei Cui; Wei Li Email cuijw@jlu.edu.cn; liwei66@jlu.edu.cnBackground: Inflammation is considered essential in cancer progression, as it affects the nutritional status and prognosis of patients. In this study, we aim to analyze the efficacy of various inflammatory markers in predicting prognosis in cancer patients.Methods: Patients with malignant tumor were included as primary and validation cohort. Basic clinical information, anthropometric indicators, body composition analysis, and serological indicators were recorded. After proposing the optimal thresholds by time-dependent receiver operating characteristic (ROC), univariate and multivariate Cox regression analyses were performed to analyze the association between inflammatory markers and overall survival (OS). A nomogram was established to develop a scored-inflammatory marker system. Eight inflammatory models based on combinations of inflammatory markers were assessed. Cox regression analysis was used to analyze the relationship of each inflammatory model and mortality of participants. Then, subanalysis of specific tumor types was conducted by Cox regression. Logistic regression models were used to analyze the relationship between different inflammatory models and malnutrition.Results: Univariate and multivariate Cox regression analyses indicated that pack-years of cigarette smoking, C-reactive protein (CRP), and systemic immune-inflammation index (SII) were related to the OS of cancer patients. A nomogram was constructed to develop a scored-inflammatory marker system. Among the eight inflammatory models, patients in model A had worst prognosis compared with patients in other models. Subanalysis next showed lung cancer, breast cancer and digestive system neoplasms patients in model A suffered the worst prognosis. Logistic regression indicated that model A was also with predictive value for malnutrition.Conclusion: A scored-inflammatory marker system was established to predict the OS of cancer patients. The inflammatory models established in this study can be used to predict prognosis, as well as cancer-related malnutrition. Inflammatory model A suffered the worst OS and was with the predictive efficacy for malnutrition.Keywords: cancer, inflammatory markers, nutritional status, overall survival
format	article
author	Zheng K Liu X Ji W Lu J Cui J Li W
author_facet	Zheng K Liu X Ji W Lu J Cui J Li W
author_sort	Zheng K
title	The Efficacy of Different Inflammatory Markers for the Prognosis of Patients with Malignant Tumors
title_short	The Efficacy of Different Inflammatory Markers for the Prognosis of Patients with Malignant Tumors
title_full	The Efficacy of Different Inflammatory Markers for the Prognosis of Patients with Malignant Tumors
title_fullStr	The Efficacy of Different Inflammatory Markers for the Prognosis of Patients with Malignant Tumors
title_full_unstemmed	The Efficacy of Different Inflammatory Markers for the Prognosis of Patients with Malignant Tumors
title_sort	efficacy of different inflammatory markers for the prognosis of patients with malignant tumors
publisher	Dove Medical Press
publishDate	2021
url	https://doaj.org/article/a9ffa13d67054e4f86f3e22e3fef3735
work_keys_str_mv	AT zhengk theefficacyofdifferentinflammatorymarkersfortheprognosisofpatientswithmalignanttumors AT liux theefficacyofdifferentinflammatorymarkersfortheprognosisofpatientswithmalignanttumors AT jiw theefficacyofdifferentinflammatorymarkersfortheprognosisofpatientswithmalignanttumors AT luj theefficacyofdifferentinflammatorymarkersfortheprognosisofpatientswithmalignanttumors AT cuij theefficacyofdifferentinflammatorymarkersfortheprognosisofpatientswithmalignanttumors AT liw theefficacyofdifferentinflammatorymarkersfortheprognosisofpatientswithmalignanttumors AT zhengk efficacyofdifferentinflammatorymarkersfortheprognosisofpatientswithmalignanttumors AT liux efficacyofdifferentinflammatorymarkersfortheprognosisofpatientswithmalignanttumors AT jiw efficacyofdifferentinflammatorymarkersfortheprognosisofpatientswithmalignanttumors AT luj efficacyofdifferentinflammatorymarkersfortheprognosisofpatientswithmalignanttumors AT cuij efficacyofdifferentinflammatorymarkersfortheprognosisofpatientswithmalignanttumors AT liw efficacyofdifferentinflammatorymarkersfortheprognosisofpatientswithmalignanttumors
_version_	1718376399334539264

The Efficacy of Different Inflammatory Markers for the Prognosis of Patients with Malignant Tumors

Ejemplares similares