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Assessment of Elastic Fibers in Tumor Stroma as a New Method to Predict 6-Year Outcomes for Gastric Cancer Patients
Purpose: This study aimed to determine whether detecting elastic fibers in tumor stroma (EFTS) could be used as a new method for predicting the prognosis of gastric cancer (GC) patients. Materials and Methods: EFTS expression was determined by histochemistry in 160 GC patients who underwent gastrect...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7186317/ https://www.ncbi.nlm.nih.gov/pubmed/32373506 http://dx.doi.org/10.3389/fonc.2020.00395 |
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author | Xue, Xiaowei Li, Yuan Zhang, Yuhan Wang, Pengyan Li, Xiaoqing Wei, Hongtao Zhou, Weixun |
author_facet | Xue, Xiaowei Li, Yuan Zhang, Yuhan Wang, Pengyan Li, Xiaoqing Wei, Hongtao Zhou, Weixun |
author_sort | Xue, Xiaowei |
collection | PubMed |
description | Purpose: This study aimed to determine whether detecting elastic fibers in tumor stroma (EFTS) could be used as a new method for predicting the prognosis of gastric cancer (GC) patients. Materials and Methods: EFTS expression was determined by histochemistry in 160 GC patients who underwent gastrectomy. Based on the staining results, the patients were divided into three groups according to their EFTS expression level: low (n = 57), moderate (n = 50), and high (n = 53). The clinicopathological data and 6-year survival data were analyzed among different EFTS groups. Results: The expression of EFTS was closely related to lymphovascular invasion (P = 0.010), blood transfusion in operation (P < 0.001), recurrence rate (P < 0.001), and motility (P < 0.001). High expression of EFTS was also correlated with recurrence-free survival (RFS) and overall survival (OS) in GC patients by Kaplan–Meier curve (P < 0.001 for RFS and P < 0.001 for OS). Conclusions: Multivariate analysis showed that EFTS was an independent prognostic factor for RFS and OS. In conclusion, detecting EFTS to predict the prognosis of GC patients is effective and highly feasible. |
format | Online Article Text |
id | pubmed-7186317 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71863172020-05-05 Assessment of Elastic Fibers in Tumor Stroma as a New Method to Predict 6-Year Outcomes for Gastric Cancer Patients Xue, Xiaowei Li, Yuan Zhang, Yuhan Wang, Pengyan Li, Xiaoqing Wei, Hongtao Zhou, Weixun Front Oncol Oncology Purpose: This study aimed to determine whether detecting elastic fibers in tumor stroma (EFTS) could be used as a new method for predicting the prognosis of gastric cancer (GC) patients. Materials and Methods: EFTS expression was determined by histochemistry in 160 GC patients who underwent gastrectomy. Based on the staining results, the patients were divided into three groups according to their EFTS expression level: low (n = 57), moderate (n = 50), and high (n = 53). The clinicopathological data and 6-year survival data were analyzed among different EFTS groups. Results: The expression of EFTS was closely related to lymphovascular invasion (P = 0.010), blood transfusion in operation (P < 0.001), recurrence rate (P < 0.001), and motility (P < 0.001). High expression of EFTS was also correlated with recurrence-free survival (RFS) and overall survival (OS) in GC patients by Kaplan–Meier curve (P < 0.001 for RFS and P < 0.001 for OS). Conclusions: Multivariate analysis showed that EFTS was an independent prognostic factor for RFS and OS. In conclusion, detecting EFTS to predict the prognosis of GC patients is effective and highly feasible. Frontiers Media S.A. 2020-04-21 /pmc/articles/PMC7186317/ /pubmed/32373506 http://dx.doi.org/10.3389/fonc.2020.00395 Text en Copyright © 2020 Xue, Li, Zhang, Wang, Li, Wei and Zhou. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Xue, Xiaowei Li, Yuan Zhang, Yuhan Wang, Pengyan Li, Xiaoqing Wei, Hongtao Zhou, Weixun Assessment of Elastic Fibers in Tumor Stroma as a New Method to Predict 6-Year Outcomes for Gastric Cancer Patients |
title | Assessment of Elastic Fibers in Tumor Stroma as a New Method to Predict 6-Year Outcomes for Gastric Cancer Patients |
title_full | Assessment of Elastic Fibers in Tumor Stroma as a New Method to Predict 6-Year Outcomes for Gastric Cancer Patients |
title_fullStr | Assessment of Elastic Fibers in Tumor Stroma as a New Method to Predict 6-Year Outcomes for Gastric Cancer Patients |
title_full_unstemmed | Assessment of Elastic Fibers in Tumor Stroma as a New Method to Predict 6-Year Outcomes for Gastric Cancer Patients |
title_short | Assessment of Elastic Fibers in Tumor Stroma as a New Method to Predict 6-Year Outcomes for Gastric Cancer Patients |
title_sort | assessment of elastic fibers in tumor stroma as a new method to predict 6-year outcomes for gastric cancer patients |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7186317/ https://www.ncbi.nlm.nih.gov/pubmed/32373506 http://dx.doi.org/10.3389/fonc.2020.00395 |
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