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Prognostic impact of tumor length in esophageal Cancer: a systematic review and Meta-analysis
BACKGROUND: In clinical studies, it has been observed that esophageal cancer (EC) patient prognosis can be very different even for those patients with tumors of the same TNM stage. Tumor length has been analysed as a possible independent prognostic factor in many studies, but no unanimous conclusion...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8417991/ https://www.ncbi.nlm.nih.gov/pubmed/34479538 http://dx.doi.org/10.1186/s12885-021-08728-1 |
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author | Wang, Zhao Yang Jiang, Yuan Zhu Xiao, Wen Xue, Xian Biao Zhang, Xiang Wei Zhang, Lin |
author_facet | Wang, Zhao Yang Jiang, Yuan Zhu Xiao, Wen Xue, Xian Biao Zhang, Xiang Wei Zhang, Lin |
author_sort | Wang, Zhao Yang |
collection | PubMed |
description | BACKGROUND: In clinical studies, it has been observed that esophageal cancer (EC) patient prognosis can be very different even for those patients with tumors of the same TNM stage. Tumor length has been analysed as a possible independent prognostic factor in many studies, but no unanimous conclusion has been reached. Therefore, this review used a meta-analysis to evaluate the association between tumor length and prognosis in EC patients. METHODS: A systematic search for relevant articles was performed in PubMed, Web of Science, and Embase. Hazard ratios (HRs) and 95% confidence intervals (CIs) were used as effective measures to estimate the correlation between tumor length and prognosis, including overall survival, disease-free survival, progression-free survival, disease-specific survival, and cancer-specific survival. STATA 15.0 software was used to perform the meta-analysis and the data synthesis. RESULTS: Finally, 41 articles with 28,973 patients were included in our study. The comprehensive statistical results showed that long tumors are an independent prognostic parameter associated with poor overall survival (OS) (HR = 1.30; 95% CI: 1.21–1.40, p < .001) and disease-free survival (DFS) (HR = 1.38; 95% CI: 1.18–1.61, p < .001) in EC patients. Subgroup analyses also suggested a significant correlation between long tumors and poor OS. Sensitivity analysis and publication bias evaluation confirmed the reliability and stability of the results. Similar results were obtained in the analyses of progression-free survival (PFS), disease-specific survival (DSS), and cancer-specific survival (CSS). CONCLUSION: The results of this meta-analysis showed that long tumors were related to poor OS, DFS, PFS, DSS and CSS in EC patients. Tumor length might be an important predictor of prognosis in EC patients, and it can be used as an independent staging index. Further well-designed and large-scale prospective clinical studies are needed to confirm these findings. |
format | Online Article Text |
id | pubmed-8417991 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-84179912021-09-09 Prognostic impact of tumor length in esophageal Cancer: a systematic review and Meta-analysis Wang, Zhao Yang Jiang, Yuan Zhu Xiao, Wen Xue, Xian Biao Zhang, Xiang Wei Zhang, Lin BMC Cancer Research Article BACKGROUND: In clinical studies, it has been observed that esophageal cancer (EC) patient prognosis can be very different even for those patients with tumors of the same TNM stage. Tumor length has been analysed as a possible independent prognostic factor in many studies, but no unanimous conclusion has been reached. Therefore, this review used a meta-analysis to evaluate the association between tumor length and prognosis in EC patients. METHODS: A systematic search for relevant articles was performed in PubMed, Web of Science, and Embase. Hazard ratios (HRs) and 95% confidence intervals (CIs) were used as effective measures to estimate the correlation between tumor length and prognosis, including overall survival, disease-free survival, progression-free survival, disease-specific survival, and cancer-specific survival. STATA 15.0 software was used to perform the meta-analysis and the data synthesis. RESULTS: Finally, 41 articles with 28,973 patients were included in our study. The comprehensive statistical results showed that long tumors are an independent prognostic parameter associated with poor overall survival (OS) (HR = 1.30; 95% CI: 1.21–1.40, p < .001) and disease-free survival (DFS) (HR = 1.38; 95% CI: 1.18–1.61, p < .001) in EC patients. Subgroup analyses also suggested a significant correlation between long tumors and poor OS. Sensitivity analysis and publication bias evaluation confirmed the reliability and stability of the results. Similar results were obtained in the analyses of progression-free survival (PFS), disease-specific survival (DSS), and cancer-specific survival (CSS). CONCLUSION: The results of this meta-analysis showed that long tumors were related to poor OS, DFS, PFS, DSS and CSS in EC patients. Tumor length might be an important predictor of prognosis in EC patients, and it can be used as an independent staging index. Further well-designed and large-scale prospective clinical studies are needed to confirm these findings. BioMed Central 2021-09-03 /pmc/articles/PMC8417991/ /pubmed/34479538 http://dx.doi.org/10.1186/s12885-021-08728-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Wang, Zhao Yang Jiang, Yuan Zhu Xiao, Wen Xue, Xian Biao Zhang, Xiang Wei Zhang, Lin Prognostic impact of tumor length in esophageal Cancer: a systematic review and Meta-analysis |
title | Prognostic impact of tumor length in esophageal Cancer: a systematic review and Meta-analysis |
title_full | Prognostic impact of tumor length in esophageal Cancer: a systematic review and Meta-analysis |
title_fullStr | Prognostic impact of tumor length in esophageal Cancer: a systematic review and Meta-analysis |
title_full_unstemmed | Prognostic impact of tumor length in esophageal Cancer: a systematic review and Meta-analysis |
title_short | Prognostic impact of tumor length in esophageal Cancer: a systematic review and Meta-analysis |
title_sort | prognostic impact of tumor length in esophageal cancer: a systematic review and meta-analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8417991/ https://www.ncbi.nlm.nih.gov/pubmed/34479538 http://dx.doi.org/10.1186/s12885-021-08728-1 |
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