Cancer recurrence and survival among patients who underwent neoadjuvant treatment and surgery for esophageal cancer: A single-institution 10-year experience
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View abstract on PubMed
Summary
This summary is machine-generated.Older age and poor cellular differentiation are key factors impacting survival in locally advanced esophageal cancer. Advanced N stage and cellular differentiation also increase recurrence risk, guiding personalized treatment strategies.
Area Of Science
- Oncology
- Surgical Oncology
- Gastroenterology
Background
- Standard treatment for locally advanced esophageal cancer involves neoadjuvant therapy followed by surgical resection.
- Minimally invasive esophagectomy is increasingly utilized for esophageal cancer treatment.
Purpose Of The Study
- To identify perioperative factors associated with recurrence and survival in patients with locally advanced esophageal cancer.
- To explore risk and protective factors influencing recurrence-free and overall survival after neoadjuvant therapy and minimally invasive esophagectomy.
Main Methods
- Retrospective analysis of prospectively collected data from minimally invasive Ivor Lewis esophagectomy cases (September 2013 - September 2023).
- Application of univariable and multivariable Cox proportional hazard regression models.
- Inclusion of 222 patients who received neoadjuvant chemoradiation followed by surgery.
Main Results
- On multivariable analysis, advanced N stage and worsening cellular differentiation were significant risk factors for recurrence.
- Older age and poorer cellular differentiation were independently associated with reduced overall survival.
- N stage and age emerged as strong independent risk factors for both recurrence and survival.
Conclusions
- Older age and cellular differentiation are significant independent risk factors for overall survival in locally advanced esophageal cancer.
- N stage and age are critical independent risk factors affecting both recurrence and survival.
- Findings can inform treatment decisions and shared decision-making to optimize patient outcomes.
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