Constructing individualized follow-up strategies for locally advanced esophageal squamous cell carcinoma patients based on dynamic recurrence risk changes

Abstract The aim of this study was to explore the high-risk factors for recurrence in patients with locally advanced esophageal squamous cell carcinoma (ESCC) undergoing definitive chemoradiotherapy or radiotherapy (dCRT or dRT). Conditional survival (CS) was used to evaluate the dynamic survival an...

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Main Authors: Yibin Cai, Jianming Ding, XiaoJun Cai, Weikun Su, Guibin Weng, Xinlong Zheng, Shijie Chen, Lin Chen, YiJin Lin, Qiwei Yao, Chunkang Yang
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
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Online Access:https://doi.org/10.1038/s41598-024-84099-4
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author Yibin Cai
Jianming Ding
XiaoJun Cai
Weikun Su
Guibin Weng
Xinlong Zheng
Shijie Chen
Lin Chen
YiJin Lin
Qiwei Yao
Chunkang Yang
author_facet Yibin Cai
Jianming Ding
XiaoJun Cai
Weikun Su
Guibin Weng
Xinlong Zheng
Shijie Chen
Lin Chen
YiJin Lin
Qiwei Yao
Chunkang Yang
author_sort Yibin Cai
collection DOAJ
description Abstract The aim of this study was to explore the high-risk factors for recurrence in patients with locally advanced esophageal squamous cell carcinoma (ESCC) undergoing definitive chemoradiotherapy or radiotherapy (dCRT or dRT). Conditional survival (CS) was used to evaluate the dynamic survival and recurrence risk of patients after treatment, and individualized monitoring strategies were developed for patients. Logistic regression analysis was performed to determine independent recurrence risk factors. Calibration curves and receiver operating characteristic (ROC) curve were used to evaluate nomogram models. Kaplan–Meier curves were used to compare survival rates in different groups and to calculate CS rate. A total of 677 patients were included. Multivariate logistic analyses demonstrated that chemotherapy cycles, tumor length, body mass index (BMI), platelet-lymphocyte ratio (PLR), and lymphocyte-monocyte ratio (LMR) were independent recurrence risk factors (p < 0.05). Subsequently, we constructed nomogram models to predict recurrence and risk stratification. Kaplan–Meier curves showed that conditional locoregional recurrence-free survival and distant metastasis-free survival of patients in different risk groups and clinical stages progressively increased with survival time, whereas local recurrence and distant metastasis annual recurrence rates decreased yearly with increasing survival time. Finally, we developed an individualized follow-up strategy based on CS at different frequencies. Individualized follow-up strategies developed on the basis of CS can better monitor the changes in patients’ conditions and contribute to timely salvage treatment and rational allocation of healthcare resources.
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spelling doaj-art-b31694a53e8c4c5caab43e13ed92e3e82025-01-05T12:19:51ZengNature PortfolioScientific Reports2045-23222025-01-0115111310.1038/s41598-024-84099-4Constructing individualized follow-up strategies for locally advanced esophageal squamous cell carcinoma patients based on dynamic recurrence risk changesYibin Cai0Jianming Ding1XiaoJun Cai2Weikun Su3Guibin Weng4Xinlong Zheng5Shijie Chen6Lin Chen7YiJin Lin8Qiwei Yao9Chunkang Yang10Department of Thoracic Surgery, Clinical Oncology School of Fujian Medical University, Fujian Cancer HospitalDepartment of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer HospitalDepartment of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer HospitalDepartment of Thoracic Surgery, Clinical Oncology School of Fujian Medical University, Fujian Cancer HospitalDepartment of Thoracic Surgery, Clinical Oncology School of Fujian Medical University, Fujian Cancer HospitalDepartment of Thoracic Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer HospitalDepartment of Thoracic Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer HospitalDepartment of Thoracic Surgery, Clinical Oncology School of Fujian Medical University, Fujian Cancer HospitalDepartment of Thoracic Surgery, Clinical Oncology School of Fujian Medical University, Fujian Cancer HospitalDepartment of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer HospitalDepartment of Gastrointestinal Surgical Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer HospitalAbstract The aim of this study was to explore the high-risk factors for recurrence in patients with locally advanced esophageal squamous cell carcinoma (ESCC) undergoing definitive chemoradiotherapy or radiotherapy (dCRT or dRT). Conditional survival (CS) was used to evaluate the dynamic survival and recurrence risk of patients after treatment, and individualized monitoring strategies were developed for patients. Logistic regression analysis was performed to determine independent recurrence risk factors. Calibration curves and receiver operating characteristic (ROC) curve were used to evaluate nomogram models. Kaplan–Meier curves were used to compare survival rates in different groups and to calculate CS rate. A total of 677 patients were included. Multivariate logistic analyses demonstrated that chemotherapy cycles, tumor length, body mass index (BMI), platelet-lymphocyte ratio (PLR), and lymphocyte-monocyte ratio (LMR) were independent recurrence risk factors (p < 0.05). Subsequently, we constructed nomogram models to predict recurrence and risk stratification. Kaplan–Meier curves showed that conditional locoregional recurrence-free survival and distant metastasis-free survival of patients in different risk groups and clinical stages progressively increased with survival time, whereas local recurrence and distant metastasis annual recurrence rates decreased yearly with increasing survival time. Finally, we developed an individualized follow-up strategy based on CS at different frequencies. Individualized follow-up strategies developed on the basis of CS can better monitor the changes in patients’ conditions and contribute to timely salvage treatment and rational allocation of healthcare resources.https://doi.org/10.1038/s41598-024-84099-4Locally advanced esophageal squamous cell carcinomaDefinitively chemoradiotherapy or radiotherapyConditional survivalRecurrence risk factorsOptimal surveillance strategy
spellingShingle Yibin Cai
Jianming Ding
XiaoJun Cai
Weikun Su
Guibin Weng
Xinlong Zheng
Shijie Chen
Lin Chen
YiJin Lin
Qiwei Yao
Chunkang Yang
Constructing individualized follow-up strategies for locally advanced esophageal squamous cell carcinoma patients based on dynamic recurrence risk changes
Scientific Reports
Locally advanced esophageal squamous cell carcinoma
Definitively chemoradiotherapy or radiotherapy
Conditional survival
Recurrence risk factors
Optimal surveillance strategy
title Constructing individualized follow-up strategies for locally advanced esophageal squamous cell carcinoma patients based on dynamic recurrence risk changes
title_full Constructing individualized follow-up strategies for locally advanced esophageal squamous cell carcinoma patients based on dynamic recurrence risk changes
title_fullStr Constructing individualized follow-up strategies for locally advanced esophageal squamous cell carcinoma patients based on dynamic recurrence risk changes
title_full_unstemmed Constructing individualized follow-up strategies for locally advanced esophageal squamous cell carcinoma patients based on dynamic recurrence risk changes
title_short Constructing individualized follow-up strategies for locally advanced esophageal squamous cell carcinoma patients based on dynamic recurrence risk changes
title_sort constructing individualized follow up strategies for locally advanced esophageal squamous cell carcinoma patients based on dynamic recurrence risk changes
topic Locally advanced esophageal squamous cell carcinoma
Definitively chemoradiotherapy or radiotherapy
Conditional survival
Recurrence risk factors
Optimal surveillance strategy
url https://doi.org/10.1038/s41598-024-84099-4
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