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Related Experiment Video

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Esophageal Cancer: Associations With (pN+) Lymph Node Metastases.

Thomas W Rice1, Hemant Ishwaran, Wayne L Hofstetter

  • 1*Cleveland Clinic, Cleveland, OH †University of Miami, Miami, FL ‡University of Texas, MD Anderson Cancer Center, Houston, TX §Oregon Health and Science Center, Portland, OR ¶Indiana University, Indianapolis, IN ||Queen Mary Hospital, The University of Hong Kong, People's Republic of China **University Hospital Leuven, Leuven, Belgium ††Medical University of South Carolina, Charleston, SC ‡‡Helsinki University Hospital, Helsinki, Finland §§Fox Chase Cancer Center, Philadelphia, PA ¶¶University of Rochester, Rochester, New York, NY ||||Mayo Clinic, Rochester, MN ***West China Hospital of Sichuan University, Chengdu, Sichuan, People's Republic of China †††Memorial Sloan-Kettering Cancer Center, New York, NY ‡‡‡University of Alabama at Birmingham, Birmingham, AL §§§University of Pittsburgh School of Medicine, Pittsburgh, PA ¶¶¶University of Montreal, Montreal, Canada ||||||Toronto General Hospital, Toronto, Canada ****Hospital Universitario del Mar, Institut Hospital del Mar d'Investigacions Mèdiques, Universitat Autònoma de Barcelona, Barcelona, Spain.

Annals of Surgery
|December 24, 2016
PubMed
Summary

The extent of lymphadenectomy for esophageal cancer depends on tumor characteristics. Fewer lymph nodes are needed for shorter, well-differentiated cancers, while more are required for longer, poorly differentiated ones.

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Area of Science:

  • Oncology
  • Surgical Pathology

Background:

  • Limited data and traditional methods hinder understanding of lymph node metastasis (pN+) associations in esophageal cancer.
  • Accurate staging of esophageal cancer is crucial for treatment planning and prognosis.

Purpose of the Study:

  • To determine associations of lymph node metastases (pN+), positive node count, and pN subclassification with cancer, treatment, patient, geographic, and institutional variables.
  • To recommend the optimal extent of lymphadenectomy for accurate pN+ detection in esophageal cancer.

Main Methods:

  • Analysis of data from 5806 esophagectomy patients from the Worldwide Esophageal Cancer Collaboration.
  • Application of Random Forest machine learning techniques to identify complex associations.

Main Results:

  • pN+, positive node count, and pN subclassification correlate with increased depth of invasion (pT), cancer length, and decreased differentiation (G).
  • Recommended lymphadenectomy extent: 60 nodes for shorter (<2.5 cm), well-differentiated cancers; 20 nodes for longer, poorly differentiated cancers.

Conclusions:

  • Esophageal cancer pN+ status is linked to deeper invasion, longer tumors, and poor differentiation.
  • Lymphadenectomy extent should be tailored: minimal for advanced cancers, extensive for early-stage, well-differentiated cancers to accurately define pN+ status.