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Annals of Surgical Oncology

, Volume 10, Issue 3, pp 213–218 | Cite as

Accuracy of Determining Nodal Negativity in Colorectal Cancer on the Basis of the Number of Nodes Retrieved on Resection

  • Natalie E. Joseph
  • Elin R. SigurdsonEmail author
  • Alexandra L. Hanlon
  • Hao Wang
  • Robert J. Mayer
  • John S. MacDonald
  • Paul J. Catalano
  • Daniel G. Haller
Original Articles

Abstract

Background: Correct determination of nodal status is pivotal to accurate staging and predicting survival.

Methods: This is a secondary analysis of INT0089, an intergroup trial of adjuvant chemotherapy for high-risk stage II and III colon cancer. A subset of patients was studied who underwent right or left hemicolectomy and from whom at least 10 lymph nodes were examined. A mathematical model was created to estimate the probability of a true negative result on the basis of the number of nodes examined. The number of nodes needed to predict nodal negativity with 85%, 50%, and 25% probability on the basis of tumor stage was calculated.

Results: In this analysis, 1585 patients were studied. The average number of nodes removed at surgery was comparable between treatment groups at 18.5 (median of 16 in all groups). With this model, when 18 nodes are removed at resection, there is a <25% probability of true node negativity in T1/T2 tumors, whereas <10 nodes need to be examined in T3 and T4 tumors to achieve the same probability.

Conclusions: Tumor stage and the number of nodes retrieved at resection influence the accuracy of determining nodal status in colon cancer. Most patients are understaged. Underestimating nodal stage may influence decisions regarding adjuvant therapy, as well as overall prognosis.

Key Words

Lymph node status Colon cancer Survival 5-fluorouracil chemotherapy Prognostic factors 

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Copyright information

© The Society of Surgical Oncology, Inc. 2003

Authors and Affiliations

  • Natalie E. Joseph
    • 1
  • Elin R. Sigurdson
    • 1
    • 7
    Email author
  • Alexandra L. Hanlon
    • 2
  • Hao Wang
    • 2
  • Robert J. Mayer
    • 3
  • John S. MacDonald
    • 4
  • Paul J. Catalano
    • 5
  • Daniel G. Haller
    • 6
  1. 1.Department of Surgical OncologyFox Chase Cancer CenterPhiladelphia
  2. 2.Division of Population Science and the Department of BiostatisticsFox Chase Cancer CenterPhiladelphia
  3. 3.Cancer and Leukemia Group BBoston
  4. 4.Southwest Oncology GroupPhiladelphia
  5. 5.Dana-Farber Cancer InstituteBoston
  6. 6.Eastern Cooperative Oncology GroupPhiladelphia
  7. 7.Department of Surgical OncologyFox Chase Cancer CenterPhiladelphia

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