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Predictive value of neutrophil-to-lymphocyte ratio for distant metastasis in gastric cancer patients

As a systemic inflammatory marker, the significance of NLR in predicting tumor prognosis and early lymph node metastasis is well known, including gastric cancer (GC). However, whether NLR can reflect GC metastasis status remains to be explored. We retrospectively enrolled 1667 GC patients treated in...

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Autores principales: Zhang, Xin, Wang, Xuan, Li, Wenxing, Sun, Tuanhe, Diao, Dongmei, Dang, Chengxue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9205918/
https://www.ncbi.nlm.nih.gov/pubmed/35715490
http://dx.doi.org/10.1038/s41598-022-14379-4
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author Zhang, Xin
Wang, Xuan
Li, Wenxing
Sun, Tuanhe
Diao, Dongmei
Dang, Chengxue
author_facet Zhang, Xin
Wang, Xuan
Li, Wenxing
Sun, Tuanhe
Diao, Dongmei
Dang, Chengxue
author_sort Zhang, Xin
collection PubMed
description As a systemic inflammatory marker, the significance of NLR in predicting tumor prognosis and early lymph node metastasis is well known, including gastric cancer (GC). However, whether NLR can reflect GC metastasis status remains to be explored. We retrospectively enrolled 1667 GC patients treated in our hospital from December 2010 to December 2018. Patients were grouped according to the presence or absence of metastases. Receiver operating characteristics (ROC) curve analysis was used to evaluate the diagnostic efficacy of markers in assessing GC metastasis. Then we conducted a joint ROC curve analysis. The effects of clinicopathological parameters on GC metastasis were assessed using multiple logistic regression analysis. 743 (44.6%) patients were diagnosed with metastatic GC. Patients with GC metastases have younger age, higher CEA, CA19-9, CA72-4 and NLR. Based on the comparison of AUC, NLR has diagnostic efficacy comparable to that of GC markers. The AUC of NLR combined with GC markers had significantly higher predicting efficacy than that without combination for assessing peritoneal metastasis (P = 0.013), osseous metastasis (P = 0.017) and hepatic metastasis (P < 0.001). In multiple logistic regression analysis, age, NLR, CEA, CA19-9 and CA72-4 were found to be independently associated with GC metastasis (all P < 0.05). NLR was a risk factor of GC metastasis. Combining CEA, CA19-9, CA72-4 and NLR could better predict metastases in GC.
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spelling pubmed-92059182022-06-19 Predictive value of neutrophil-to-lymphocyte ratio for distant metastasis in gastric cancer patients Zhang, Xin Wang, Xuan Li, Wenxing Sun, Tuanhe Diao, Dongmei Dang, Chengxue Sci Rep Article As a systemic inflammatory marker, the significance of NLR in predicting tumor prognosis and early lymph node metastasis is well known, including gastric cancer (GC). However, whether NLR can reflect GC metastasis status remains to be explored. We retrospectively enrolled 1667 GC patients treated in our hospital from December 2010 to December 2018. Patients were grouped according to the presence or absence of metastases. Receiver operating characteristics (ROC) curve analysis was used to evaluate the diagnostic efficacy of markers in assessing GC metastasis. Then we conducted a joint ROC curve analysis. The effects of clinicopathological parameters on GC metastasis were assessed using multiple logistic regression analysis. 743 (44.6%) patients were diagnosed with metastatic GC. Patients with GC metastases have younger age, higher CEA, CA19-9, CA72-4 and NLR. Based on the comparison of AUC, NLR has diagnostic efficacy comparable to that of GC markers. The AUC of NLR combined with GC markers had significantly higher predicting efficacy than that without combination for assessing peritoneal metastasis (P = 0.013), osseous metastasis (P = 0.017) and hepatic metastasis (P < 0.001). In multiple logistic regression analysis, age, NLR, CEA, CA19-9 and CA72-4 were found to be independently associated with GC metastasis (all P < 0.05). NLR was a risk factor of GC metastasis. Combining CEA, CA19-9, CA72-4 and NLR could better predict metastases in GC. Nature Publishing Group UK 2022-06-17 /pmc/articles/PMC9205918/ /pubmed/35715490 http://dx.doi.org/10.1038/s41598-022-14379-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Zhang, Xin
Wang, Xuan
Li, Wenxing
Sun, Tuanhe
Diao, Dongmei
Dang, Chengxue
Predictive value of neutrophil-to-lymphocyte ratio for distant metastasis in gastric cancer patients
title Predictive value of neutrophil-to-lymphocyte ratio for distant metastasis in gastric cancer patients
title_full Predictive value of neutrophil-to-lymphocyte ratio for distant metastasis in gastric cancer patients
title_fullStr Predictive value of neutrophil-to-lymphocyte ratio for distant metastasis in gastric cancer patients
title_full_unstemmed Predictive value of neutrophil-to-lymphocyte ratio for distant metastasis in gastric cancer patients
title_short Predictive value of neutrophil-to-lymphocyte ratio for distant metastasis in gastric cancer patients
title_sort predictive value of neutrophil-to-lymphocyte ratio for distant metastasis in gastric cancer patients
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9205918/
https://www.ncbi.nlm.nih.gov/pubmed/35715490
http://dx.doi.org/10.1038/s41598-022-14379-4
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