Predictors of lymph node count in colorectal cancer resections: data from US nationwide prospective cohort studies

Arch Surg. 2012 Aug;147(8):715-23. doi: 10.1001/archsurg.2012.353.

Abstract

Objective: To identify factors that influence the total and negative lymph node counts in colorectal cancer resection specimens independent of pathologists and surgeons.

Design: We used multivariate negative binomial regression. Covariates included age, sex, body mass index, family history of colorectal carcinoma, year of diagnosis, hospital setting, tumor location, resected colorectal length (specimen length), tumor size, circumferential growth, TNM stage, lymphocytic reactions and other pathological features, and tumor molecular features (microsatellite instability, CpG island methylator phenotype, long interspersed nucleotide element 1 [LINE-1] methylation, and BRAF, KRAS, and PIK3CA mutations).

Setting: Two US nationwide prospective cohort studies.

Patients: Patients with rectal and colon cancer (N=918).

Main outcome measures: The negative and total node counts (continuous).

Results: Specimen length, tumor size, ascending colon location, T3N0M0 stage, and year of diagnosis were positively associated with the negative node count (all P.002). Mutation of KRAS might also be positively associated with the negative node count (P=.03; borderline significance considering multiple hypothesis testing). Among node-negative (stages I and II) cases, specimen length, tumor size, and ascending colon location remained significantly associated with the node count (all P.002), and PIK3CA and KRAS mutations might also be positively associated (P=.03 and P=.049, respectively, with borderline significance).

Conclusions: This molecular pathological epidemiology study shows that specimen length, tumor size, tumor location, TNM stage, and year of diagnosis are operator-independent predictors of the lymph node count. These crucial variables should be examined in any future evaluation of the adequacy of lymph node harvest and nodal staging when devising individualized treatment plans for patients with colorectal cancer.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Colonic Neoplasms / genetics
  • Colonic Neoplasms / pathology*
  • Colonic Neoplasms / surgery
  • DNA Methylation / genetics
  • DNA, Neoplasm / genetics
  • Female
  • Humans
  • Lymphatic Metastasis
  • Male
  • Middle Aged
  • Molecular Epidemiology
  • Multivariate Analysis
  • Mutation
  • Neoplasm Staging
  • Proto-Oncogene Proteins / genetics
  • Proto-Oncogene Proteins B-raf / genetics
  • Proto-Oncogene Proteins p21(ras)
  • Rectal Neoplasms / genetics
  • Rectal Neoplasms / pathology*
  • Rectal Neoplasms / surgery
  • Regression Analysis
  • United States
  • ras Proteins / genetics

Substances

  • DNA, Neoplasm
  • KRAS protein, human
  • Proto-Oncogene Proteins
  • BRAF protein, human
  • Proto-Oncogene Proteins B-raf
  • Proto-Oncogene Proteins p21(ras)
  • ras Proteins