Prognostic impact of tumor length in esophageal Cancer: a systematic review and Meta-analysis.

Autor: Wang ZY; Department of Thoracic Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, 324 Jing wu Road, Jinan, 250021, Shandong, China.; Department of Thoracic Surgery, Tangdu Hospital, The Fourth Military Medical University, 1 Xinsi Road, Xi'an, 710038, China., Jiang YZ; Department of Thoracic Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, 324 Jing wu Road, Jinan, 250021, Shandong, China., Xiao W; Department of Thoracic Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, 324 Jing wu Road, Jinan, 250021, Shandong, China., Xue XB; Department of Thoracic Surgery, Juye County People's Hospital, Ju ye, China., Zhang XW; Department of Thoracic Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, 324 Jing wu Road, Jinan, 250021, Shandong, China. zhangxiangwei2011@126.com., Zhang L; Department of Thoracic Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, 324 Jing wu Road, Jinan, 250021, Shandong, China. doczhanglin@163.com.
Jazyk: angličtina
Zdroj: BMC cancer [BMC Cancer] 2021 Sep 03; Vol. 21 (1), pp. 988. Date of Electronic Publication: 2021 Sep 03.
DOI: 10.1186/s12885-021-08728-1
Abstrakt: 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.
(© 2021. The Author(s).)
Databáze: MEDLINE
Externí odkaz:
Nepřihlášeným uživatelům se plný text nezobrazuje