0
Original Article | ONLINE FIRST

Predictors of Lymph Node Count in Colorectal Cancer Resections:  Data From US Nationwide Prospective Cohort Studies

Teppei Morikawa, MD, PhD; Noriko Tanaka, PhD; Aya Kuchiba, PhD; Katsuhiko Nosho, MD, PhD; Mai Yamauchi, PhD; Jason L. Hornick, MD, PhD; Richard S. Swanson, MD; Andrew T. Chan, MD, MPH; Jeffrey A. Meyerhardt, MD, MPH; Curtis Huttenhower, PhD; Deborah Schrag, MD, MPH; Charles S. Fuchs, MD, MPH; Shuji Ogino, MD, PhD, MS(Epidemiology)
Arch Surg. 2012;147(8):715-723. doi:10.1001/archsurg.2012.353.
Text Size: A A A
Published online

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.

Figures in this Article

Sign In to Access Full Content

Don't have Access?

Register and get free email Table of Contents alerts, saved searches, PowerPoint downloads, CME quizzes, and more

Subscribe for full-text access to content from 1998 forward and a host of useful features

Activate your current subscription (AMA members and current subscribers)

Purchase Online Access to this article for 24 hours

Figures

Place holder to copy figure label and caption
Grahic Jump Location

Figure 1. Number of cases analyzed in this study by state. Our patients were distributed throughout the United States, and our results would not have been influenced by any particular surgeon or pathologist, thus increasing the generalizability of our findings.

Place holder to copy figure label and caption
Grahic Jump Location

Figure 2. Lymph node counts in 918 colorectal cancers in our 2 US nationwide prospective cohort studies. A, Distribution of the negative node count. B, Distribution of the total node count. Both negative and total node counts approximately follow a gamma-Poisson–like distribution. In the boxplot above each graph, the vertical line in the middle of each box indicates the median, the diamond indicates the mean, and the left and right borders of the box mark the 25th and 75th percentiles, respectively. The whiskers extending from the left and right ends of the box mark the 5th and 95th percentiles, respectively. The points beyond the whiskers are outliers beyond the 5th or 95th percentile. C, Correlation between the negative node count and specimen length. D, Correlation between the negative node count and tumor size.

Tables

Interactive Graphics

Video

Country-Specific Mortality and Growth Failure in Infancy and Yound Children and Association With Material Stature

Use interactive graphics and maps to view and sort country-specific infant and early dhildhood mortality and growth failure data and their association with maternal

References

Correspondence

CME


You need to register in order to view this quiz.
NOTE:
Citing articles are presented as examples only. In non-demo SCM6 implementation, integration with CrossRef’s “Cited By” API will populate this tab (http://www.crossref.org/citedby.html).
Submit a Comment

Some tools below are only available to our subscribers or users with an online account.

Sign In to Access Full Content

Related Content

Customize your page view by dragging & repositioning the boxes below.

Articles Related By Topic
Related Topics
PubMed Articles
Jobs
JAMAevidence.com

Users' Guides to the Medical Literature
Clinical Resolution

Users' Guides to the Medical Literature
Clinical Scenario