Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2015 Jan 1.
Published in final edited form as: Ann Surg Oncol. 2014 Jul 25;22(1):195–202. doi: 10.1245/s10434-014-3939-4

Colon cancer lymph node evaluation among Military Health System beneficiaries: An analysis by race/ethnicity

Abegail A Gill 1, Shelia H Zahm 2, Craig D Shriver 1,3,4, Alexander Stojadinovic 1,3,4, Katherine A McGlynn 2, Kangmin Zhu 1,4
PMCID: PMC4275347  NIHMSID: NIHMS618429  PMID: 25059789

Abstract

Background

The number of lymph nodes examined during colon cancer surgery falls below nationally recommended guidelines in the general population, with blacks and Hispanics less likely to have adequate nodal evaluation in comparison to whites. The Department of Defense’s (DoD’s) Military Health System (MHS) provides equal access to medical care for its beneficiaries, regardless of racial/ethnic background. This study aimed to investigate whether racial/ethnic treatment differences exist in the MHS, an equal access medical care system.

Methods

Linked data from the DoD cancer registry and administrative claims databases were used and included 2,155 colon cancer cases. Multivariate logistic regression assessed the association between race/ethnicity and the number of lymph nodes examined (<12 and ≥ 12) overall and for stratified analyses.

Results

No overall racial/ethnic difference in the number of lymph nodes examined was identified. Further stratified analyses yielded similar results, except potential racial/ethnic differences were found among persons with poorly differentiated tumors, where non-Hispanic blacks (NHBs) tended to be less likely to have ≥12 lymph nodes dissected (OR: 0.34, 95% CI: 0.14-0.80, p-value: 0.01) compared to non-Hispanic whites.

Conclusion

Racial/ethnic disparities in the number of lymph nodes evaluated among patients with colon cancer were not apparent in an equal-access healthcare system. However, among poorly differentiated tumors, there might be racial/ethnic differences in nodal yield, suggesting the possible effects of factors other than access to healthcare.

Introduction

Colorectal cancer (CRC) is the third leading cause of cancer death in the United States (US).1 The American Cancer Society estimated that 136,830 incident cases and 50,310 deaths will occur in 2014 due to CRC, with almost three-fourths (71%) of incident cases occurring in the colon.2 Lymph node metastasis is an important predictor of survival among colon cancer patients.3, 4 The dissection of a sufficient number of lymph nodes is emphasized in order to predict nodal status (positive versus negative), thus assuring accurate staging of disease and the evaluation of lymph node metastasis.5, 6 The number of lymph nodes evaluated has also been positively correlated with survival,7-9 which is likely explained by the increasing use of adjuvant therapy upon detection of positive lymph nodes, which in turn depends on lymph node yield.10 Therefore, the number of lymph nodes evaluated is an important clinical and prognostic factor for colon cancer.

National guidelines recommend that at least 12 lymph nodes be resected surgically and examined pathologically in patients with colon cancer.11-13 Despite these promulgated guidelines, studies have indicated that compliance remains sub-optimal7, 14, 15 and can vary according to patient factors (e.g., age or obesity),16-18 tumor factors (e.g., tumor stage and site),14, 18, 19 and physician factors (e.g., patient volume and years of experience).15 Recent studies, although inconsistent,20, 21 have suggested that the number of lymph nodes dissected may vary by race/ethnicity.22-26 Among colon cancer cases diagnosed in Louisiana, blacks were less likely to have adequate number of lymph nodes dissected compared to whites.22 Among Medicare beneficiaries, Hispanics were also found to have less adequate nodal yield in comparison to whites.25, 26

Previous studies might be influenced by unequal access to medical care, a health disparity in which medical care is not equivalent amongst different individuals due to factors such as race or ethnicity. Unequal access to healthcare due to insufficient health insurance affects not only the receipt of needed care but also the quality of care.27 Individuals with less access to care are less likely to receive needed services and recommended care.27 Minorities are more likely to have insufficient health insurance28-30 and thus receive poorer quality health care.30 For example, blacks are less likely to have access to high-volume hospitals or surgeons31-33 and to receive surgeries34-36 than whites. Therefore, it is possible that racial/ethnic differences in the extent of lymph node evaluation may at least partially be accounted for by unequal access to medical care. Such inequity between racial/ethnic groups may be reduced in an equal access system.

To the best of our knowledge, no previous studies have examined racial/ethnic disparities in lymph node retrieval in an equal-access setting; such studies in healthcare disparity help assess the potential influences of unequal access to care on the possible racial/ethnic differences as well as the possible effects of factors other than access to care. The Department of Defense’s (DoD) Military Health System (MHS) provides equal access to medical care for its beneficiaries regardless of their racial/ethnic background, offering an excellent opportunity to investigate racial/ethnic differences in the number of lymph nodes resected and evaluated among colon cancer patients.

The objective of this study was to examine the number of lymph nodes resected surgically and examined pathologically among non-Hispanic white (NHW), non-Hispanic black (NHB), Asian/Pacific Islanders (API), and Hispanic white (HW) colon cancer patients in the MHS. Furthermore, we assessed whether racial/ethnic differences in lymph node yield varied by age at diagnosis, sex, tumor stage, tumor grade, and colon cancer site.

Materials & Method

Data source

This study utilized linked and consolidated data from the DoD‘s Central Cancer Registry (CCR) and the MHS Data Repository (MDR). Information from DoD beneficiaries, including active duty members, retirees, Guards and Reserve members and their dependents, are contained in both data sources. For CCR, certified cancer registrars abstract demographic, health, and tumor characteristic information from the records of cancer patients diagnosed and/or treated at military treatment facilities (MTFs) according to the North American Association of Central Cancer Registries guidelines. MDR contains administrative and medical care claims information, which includes clinical diagnosis, diagnostic procedures, treatment, health conditions, and medical prescriptions, from the DoD heath care program, known as Tricare, for in-patient and out-patient services provided either at MTFs (direct care) or at civilian facilities that are paid for by the DoD (indirect care).

The data linkage project was reviewed and approved by the institutional review boards of the Walter Reed National Military Medical Center, Tricare Management Activity, and the National Institutes of Health Office of Human Subjects Research.

Study subjects

Patients diagnosed with histologically confirmed primary colon adenocarcinoma (International Classification of Diseases for Oncology Third Revision site codes (ICD-O-3) C180-189) that underwent a surgical procedure between 1998 and 2007 were eligible for this study. The initial study population included 2,939 patients aged 20 years or older. Patients with stage IV, who are probably less likely to receive colon cancer surgery, or unknown stage (n=755) and those with an unknown number of lymph nodes examined (n=29) were excluded from this study.

Study variables

Tumor characteristics, including the number of lymph nodes examined, were obtained from CCR. According to national colon cancer guidelines, a minimum of 12 lymph nodes should be dissected.11-13 Therefore, the total number of regional lymph nodes removed and examined, which was obtained from the variable “regional nodes examined”, was classified into two groups: <12 lymph nodes and ≥12 lymph nodes. Tumor stage was categorized as Stage I, Stage II, and Stage III based on the American Joint Committee on Cancer staging recommendations.37 Tumor histologic grade was classified based on level of differentiation as well differentiated, moderately differentiated, poorly differentiated, and unknown. Colon cancer site was categorized into four categories: right (C180, 182, 183: cecum, ascending colon, hepatic flexure, respectively), transverse (C184), left (C185-187: splenic flexure, descending colon, and sigmoid colon, respectively), and overlapping/unknown (C188-189).

Demographic characteristics were obtained from CCR, with missing information supplemented from MDR. Race/ethnicity was categorized into four groups: NHW, NHB, API, and HW. Other demographic information included diagnosis year, age at diagnosis, sex, marital status, active duty status, military service branch, military healthcare benefit type, and military rank. Based on the release of national guidelines,11-13 diagnostic years were divided into three periods: 1998-2000, 2001-2003 and 2004-2007. Age at diagnosis was categorized into four groups: 20-49 years, 50-59 years, 60-69 years, and 70+ years. Marital status included being never married, married, other (separated, divorced, or widowed), and unknown. Beneficiaries were classified as either active duty or non-active duty (i.e. retiree and dependents) at the time of their diagnosis. The service branch of the active duty member or sponsor was categorized as Army, Air Force, Navy/Marines, other (i.e. Coast Guard and Public Health Service), and unknown. Benefit type was classified into three categories TRICARE Prime (HMO-like component), not Prime, and unknown. The military rank of the active duty member or sponsor, which was used as a surrogate for income, included enlisted personnel, officer, other (i.e. civilian pay plan, general schedule, non-appropriated funds), and unknown.

Information on obesity was obtained from MDR. Patients who had an ICD-9 diagnostic code of 278.00 or 278.01 were identified as being obese.

Statistical analysis

As the first step of data analysis, the overall racial and ethnic differences between demographic and tumor characteristics were compared using chi-square tests of significance. We then assessed the association between race/ethnicity and the number of lymph nodes examined (<12 and ≥ 12) using multivariate logistic regression, adjusting for potential confounders that included demographic variables, tumor characteristics, and obesity. Finally, we analyzed whether the relationship between race/ethnicity and the number of lymph nodes examined varied by age at diagnosis, sex, tumor stage, tumor grade, and colon cancer site. Odds ratios (OR) and 95% confidence intervals (CI) were calculated for overall and stratified analyses. Since the number of lymph nodes examined has been found to be associated with obesity,16 all aforementioned analyses were rerun excluding all patients who were identified as being obese.

Tests of significance were two-tailed and conducted at an alpha of 0.05 using Statistical Analysis System (SAS) software, Version 9.3 for Windows (SAS Institute, Inc., Cary, North Carolina).

Results

This study included 2,155 beneficiaries with colon cancer who received care from the MHS (1,530 NHWs; 350NHBs; 169 APIs; and 106 HWs) (Table 1). The overall proportion of patients having at least 12 lymph nodes examined was 59%. The distributions of factors except year of diagnosis, marital status, and tumor grade varied among racial/ethnic groups (p<0.05). The number of lymph nodes examined also did not differ by race/ethnicity, with 57.5% NHWs, 62.3% NHBs, 57.4% APIs, and 65.1% HWs receiving an adequate lymph node evaluation (p=0.20). At the time of colon cancer diagnosis, NHWs tended to be older, an officer/having a sponsor who was an officer, and have earlier stage disease than minority groups. NHW, NHB, and HW patients were more likely to be men, while APIs were more likely to be women. NHBs were more likely to be an active duty member of the military and obese than other races/ethnicities. NHWs were more likely to be affiliated with the Air Force, whereas NHBs and HWs were more likely to be affiliated with the Army. NHBs and APIs were more likely to have Tricare Prime insurance than NHWs and HWs. While NHWs and NHBs tended to have right-sided colon cancers, APIs and HWs tended to be diagnosed with left-sided colon cancers.

Table1.

Demographic and tumor characteristics by race/ethnicity among colon cancer patients in the MHS 1998-2007.

Race/Ethnicity
Non-Hispanic
White
Non-Hispanic
Black
Asian/Pacific
Islander
Hispanic
White
(n=1,530) (n=350) (n=169) (n=106)




Characteristic n % n % n % n % p-valuea
Year of diagnosis 0.05
 1998-2000 577 37.7 119 34.0 55 32.5 26 24.5
 2001-2003 496 32.4 110 31.4 52 30.8 39 36.8
 2004-2007 457 29.9 121 34.6 62 36.7 41 38.7
Age at diagnosis, years <0.01
 20-49 209 13.7 80 22.9 27 16.0 15 14.2
 50-59 335 21.9 90 25.7 59 34.9 33 31.1
 60-69 449 29.3 109 31.1 49 29.0 28 26.4
 70+ 537 35.1 71 20.3 34 20.1 30 28.3
Sex <0.01
 Men 923 60.3 215 61.4 45 26.6 72 67.9
 Women 607 39.7 135 38.6 124 73.4 34 32.1
Marital status 0.51
 Never married 45 2.9 17 4.9 2 1.2 5 4.7
 Married 1163 76.0 264 75.4 134 79.3 77 72.6
 Other 261 17.1 58 16.6 28 16.6 21 19.8
 Unknown 61 4.0 11 3.1 5 3.0 3 2.8
Active duty status <0.01
 No 1413 92.4 306 87.4 163 96.4 98 92.5
 Yes 117 7.6 44 12.6 6 3.6 8 7.5
Service branchb <0.01
 Army 506 33.1 180 51.4 60 35.5 43 40.6
 Air Force 540 35.3 87 24.9 38 22.5 25 23.6
 Navy/Marines 416 27.2 71 20.3 59 34.9 13 12.3
 Other 22 1.4 4 1.1 7 4.1 1 0.9
 Unknown 46 3.0 8 2.3 5 3.0 24 22.6
Benefit type <0.01
 Prime 694 45.4 178 50.9 99 58.6 49 46.2
 Not prime 448 29.3 84 24.0 36 21.3 17 16.0
 Unknown 388 25.4 88 25.1 36 21.3 40 37.7
Rankb <0.01
 Enlisted 696 45.5 228 65.1 102 60.4 56 52.8
 Officer 336 22.0 23 6.6 15 8.9 6 5.7
 Other 6 0.4 1 0.3 3 1.8 2 1.9
 Unknown 492 32.2 98 28.0 49 29.0 42 39.6
Obese <0.01
 No 1163 76.0 230 65.7 142 84.0 85 80.2
 Yes 367 24.0 120 34.3 27 16.0 21 19.8
Tumor stage 0.02
 Stage I 501 32.7 92 26.3 45 26.6 29 27.4
 Stage II 487 31.8 110 31.4 45 26.6 35 33.0
 Stage III 542 35.4 148 42.3 79 46.7 42 39.6
Tumor grade 0.12
 Well differentiated 267 17.5 46 13.1 28 16.6 13 12.3
 Moderately differentiated 997 65.2 249 71.1 114 67.5 69 65.1
 Poorly differentiated 197 12.9 39 11.1 25 14.8 16 15.1
 Unknown 69 4.5 16 4.6 2 1.2 8 7.5
Subsite 0.01
 Right 685 44.8 150 42.9 54 32.0 39 36.8
 Transverse 114 7.5 31 8.9 10 5.9 6 5.7
 Left 639 41.8 149 42.6 99 58.6 56 52.8
 Overlapping/unknown 92 6.0 20 5.7 6 3.6 5 4.7
Number of lymph nodes examined 0.20
 0-11 650 42.5 132 37.7 72 42.6 37 34.9
 12+ 880 57.5 218 62.3 97 57.4 69 65.1
a

2-sided p-value assessing the overall differences between race/ethnicity and demographic and tumor characteristics.

b

Service branch or rank of active duty member or sponsor.

After adjustment for potential confounding factors, NHBs, HWs, and APIs were not significantly different from NHWs in receiving adequate lymph node evaluation (Table 2). Racial/ethnic difference in the number of lymph nodes examined were also not observed when analyses were further stratified by age at diagnosis, sex, tumor stage, and colon cancer site (data for age at diagnosis and sex not shown). Furthermore, the number of lymph nodes examined did not differ by race/ethnicity among patients with well or moderately differentiated tumors. In contrast, among patients with poorly differentiated tumors, significant differences between NHBs and NHWs in nodal yield were observed. NHBs were less likely to have ≥12 lymph nodes examined compared to NHWs (OR: 0.34, 95% CI: 0.14-0.80, p-value: 0.01). Among APIs and HWs, no significant differences in the number of lymph nodes examined was found in comparison to NHWs (OR: 0.82, 95% CI: 0.26-2.54, p-value: 0.72; OR: 1.14, 95% CI: 0.25-5.28, p-value: 0.87; respectively).

Table2.

Multivariate regression analysis assessing the receipt of adequate lymph node evaluation by race/ethnicity with the MHS 1998-2007, overall and by tumor characteristics.

Number of lymph
nodes
Strata <12 12+ ORa 95% CI p-valueb
Overall
 Non-Hispanic White 650 880 1.00 ((reference)
 Non-Hispanic Black 132 218 1.12 0.86 1.47 0.40
 Asian/Pacific Islander 72 97 0.90 0.63 1.29 0.56
 Hispanic White 37 69 1.37 0.87 2.17 0.17
Tumor stage
 Stage I
  Non-Hispanic White 282 219 1.00 (reference)
  Non-Hispanic Black 42 50 1.29 0.78 2.13 0.32
  Asian/Pacific Islander 30 15 0.62 0.30 1.31 0.21
  Hispanic White 13 16 1.52 0.67 3.48 0.32
 Stage II
  Non-Hispanic White 193 294 1.00 (reference)
  Non-Hispanic Black 37 73 1.23 0.76 2.00 0.41
  Asian/Pacific Islander 14 31 1.32 0.63 2.73 0.46
  Hispanic White 10 25 1.31 0.56 3.08 0.54
 Stage III
  Non-Hispanic White 175 367 1.00 (reference)
  Non-Hispanic Black 53 95 0.93 0.60 1.44 0.74
  Asian/Pacific Islander 28 51 0.74 0.42 1.28 0.28
  Hispanic White 14 28 0.95 0.45 1.99 0.89
Tumor grade
 Well differentiated
  Non-Hispanic White 139 128 1.00 (reference)
  Non-Hispanic Black 16 30 1.58 0.74 3.36 0.23
  Asian/Pacific Islander 14 14 0.58 0.22 1.48 0.25
  Hispanic White 6 7 0.75 0.20 2.79 0.67
 Moderately
differentiated
  Non-Hispanic White 413 584 1.00 (reference)
  Non-Hispanic Black 88 161 1.15 0.83 1.58 0.41
  Asian/Pacific Islander 48 66 0.99 0.64 1.54 0.97
  Hispanic White 26 43 1.32 0.76 2.31 0.33
 Poorly differentiated
  Non-Hispanic White 54 143 1.00 (reference)
  Non-Hispanic Black 19 20 0.34 0.14 0.80 0.01
  Asian/Pacific Islander 9 16 0.82 0.26 2.54 0.72
  Hispanic White 4 12 1.14 0.25 5.28 0.87
Subsite
 Right-sided
  Non-Hispanic White 214 471 1.00 (reference)
  Non-Hispanic Black 38 112 1.07 0.68 1.69 0.76
  Asian/Pacific Islander 11 43 1.48 0.71 3.09 0.29
  Hispanic White 10 29 1.20 0.53 2.70 0.67
 Left-sided
  Non-Hispanic White 349 290 1.00 (reference)
  Non-Hispanic Black 72 77 1.33 0.90 1.97 0.16
  Asian/Pacific Islander 54 45 0.80 0.50 1.29 0.36
  Hispanic White 25 31 1.30 0.71 2.41 0.40
a

Odds ratio (OR) and 95% confidence intervals (CI) adjusting for year of diagnosis, age at diagnosis, sex, marital status, active duty status, service branch of active duty member/sponsor, benefit type, rank of active duty member/sponsor, obesity, colon cancer subsite, tumor stage, and tumor grade. The stratified variable was not included in the analysis stratified by the variable.

b

2-sided p-value assessing the relationship between race/ethnicity and the number of lymph nodes examined.

Discussion

This study showed that the overall proportion of patients with ≥12 lymph nodes resected and examined (59%) was higher than in the general population (44% among patients in Louisiana and 38% among patients examined in SEER-Medicare).22, 26 Unlike previous studies that found racial/ethnic differences in the number of lymph nodes examined,22, 23, 25, 26 this study observed no overall differences in the number of lymph nodes examined among NHW, NHB, API, and HW beneficiaries with equal access to healthcare in the MHS. We also did not observe racial/ethnic differences by age at diagnosis, sex, tumor stage, or colon cancer site. However, among patients with poorly differentiated tumors, potential racial/ethnic differences in the number of lymph nodes examined were observed.

Our findings suggest that the racial/ethnic differences in the number of lymph nodes evaluated in the general population might be minimal within the DoD equal-access healthcare system. However, we cannot exclude the possibility of racial/ethnic differences among patients with poorly differentiated cancer. Larger studies within an equal access system are needed to demonstrate whether different racial/ethnic groups differ in the number of lymph nodes evaluated, particularly for certain subgroups such as poorly differentiated tumors and other potential effect modifiers (e.g., microsatellite instability/mismatch repair (MSI/MMR)38, 39) that could not be assessed in this data.

It is not clear why the racial difference was observed only for poorly differentiated tumors. While it might result from chance alone, factors other than access to care might play a role. For example, obesity, which may vary between different racial/ethnic groups, has been found to be associated with lymph node yield.16 Blacks and Hispanics tend to be more obese than NHWs.40 The presence of fatty tissue causes the retrieval of lymph nodes to be more difficult due to technical complexity of lymph node dissection, as shown by increased surgical time,41 among obese patients. However, obesity was adjusted for in our data analysis. Furthermore, when the analyses were confined to patients without obesity, the results remained similar (data not shown). Thus, obesity might not account for the observed racial difference among patients with poorly differentiated tumors.

Lymph node yield may also be influenced by physician factors. Adequate lymph node yield has been associated with surgeon procedure volume, with high-volume surgeons, who tend to have more experience, harvesting more lymph nodes compared to low-volume surgeons.15, 42-44 The skill level of a pathologist may also play a role in the retrieval of more lymph nodes, particularly when lymph node harvest is performed by a staff pathologist compared to a pathology resident/technologist.15 However, studies have found that pathology assistants, who often have more time and fewer distractions, harvest more lymph nodes than more experienced pathologists.45, 46 It is not known if the physician factors varied between NHB and NHW patients in our study population.

This study had several strengths. First, it minimized the potential effects of unequal access to care on racial/ethnic differences. Second, to our knowledge, it is the first study that assessed racial/ethnic differences in lymph node evaluation by demographic or tumor characteristics, although other biological indicators such as MSI/MMR tumor status could not be analyzed. The study also had limitations. The numbers of patients in certain strata were comparatively small, which prevented us from having solid evidence on whether racial/ethnic differences in the number of lymph nodes evaluated existed in certain groups defined by age at diagnosis, sex, tumor stage, tumor grade, and colon cancer site. For example, for stage I cancer, the minimum detectable OR comparing NHBs and NHWs was calculated to be 1.9, given the numbers of NHBs and NHWs, a study power of 80%, and an alpha of 0.05, while our estimate was 1.29. Nevertheless, we found a significant OR for poorly differentiated tumors even with smaller numbers of NHBs and NHWs. Additionally, our data do not contain information on surgeon procedure volume and type of pathologist or person examining the resected specimen (e.g., pathologist versus technician) that may be related to lymph node retrieval and examination. Thus, we were unable to assess whether these physician factors might have affected our results. Lastly, the use of information from medical and administrative claims databases could result in coding errors and incomplete data. However, the combined use of data from the cancer registry minimized the likelihood of this limitation.

In summary, racial/ethnic disparities in the number of lymph nodes examined among NHWs, NHBs, APIs, and HWs were not apparent in an equal-access healthcare system. However, racial/ethnic differences in nodal evaluation could potentially vary by tumor grade, with a lower frequency of sufficient lymph nodes examined among NHBs with poorly differentiated tumor grade. These results suggest the possibility that other factors, in addition to access to healthcare, might play a role in the racial/ethnic disparities seen in the general population.

Synopsis.

Racial/ethnic disparities in the number of lymph nodes evaluated among colon cancer patients were not apparent in an equal-access healthcare system. However, potential racial/ethnic differences in nodal yield were observed among poorly differentiated tumors.

Acknowledgments

The authors thank the following individuals and institutes for their contributions to or support for the original data linkage project: Mr. Guy J. Garnett, Mr. David E. Radune, and Dr. Aliza Fink of ICF Macro; Ms. Wendy Funk, Ms. Julie Anne Mutersbaugh, Ms. Linda Cottrell, and Ms. Laura Hopkins of Kennel and Associates, Inc.; Ms. Kim Frazier, Dr. Elder Granger, and Dr. Thomas V. Williams of TMA; Ms. Annette Anderson, Dr. Patrice Robinson, and Dr. Chris Owner of the Armed Forces Institute of Pathology; Dr. Joseph F. Fraumeni, Jr., Dr. Robert N. Hoover, Dr. Susan S. Devesa and Ms. Gloria Gridley of the National Cancer Institute; Dr. John Potter, Mr. Raul Parra, Ms. Anna Smith, Ms. Fiona Renalds, Mr. William Mahr, Mrs. Hongyu Wu, Dr. Larry Maxwell, Mr. Miguel Buddle, and Ms.Virginia Van Horn of the United States Military Cancer Institute. We would also like to thank Dr. Lindsey Enewold for her comments on this manuscript.

Funding: This project was supported by John P. Murtha Cancer Center, Walter Reed National Military Medical Center via the Uniformed Services University of the Health Sciences under the auspices of the Henry M. Jackson Foundation for the Advancement of Military Medicine and by the intramural research program of the National Cancer Institute. The original data linkage was supported by the United States Military Cancer Institute and Division of Cancer Epidemiology and Genetics, National Cancer Institute.

Footnotes

The authors declare no conflicts of interest or financial disclosures.

Disclaimers: The views expressed in this article are those of the author and do not necessarily reflect the official policy or position of the Department of the Navy, Army, Department of Defense, National Cancer Institute, nor the U.S. Government. Nothing in the presentation implies any Federal/DOD endorsement.

References

  • 1.American Cancer Society . Colorectal Cancer Facts & Figures 2014-2016. American Cancer Society; Atlanta: 2014. [Google Scholar]
  • 2.American Cancer Society . Cancer Facts & Figures 2014. American Cancer Society; Atlanta: 2014. [Google Scholar]
  • 3.Gleisner AL, Mogal H, Dodson R, et al. Nodal status, number of lymph nodes examined, and lymph node ratio: what defines prognosis after resection of colon adenocarcinoma? J Am Coll Surg. 2013 Dec;217(6):1090–100. doi: 10.1016/j.jamcollsurg.2013.07.404. [DOI] [PubMed] [Google Scholar]
  • 4.Suzuki O, Sekishita Y, Shiono T, Ono K, Fujimori M, Kondo S. Number of lymph node metastases is better predictor of prognosis than level of lymph node metastasis in patients with node-positive colon cancer. J Am Coll Surg. 2006 May;202(5):732–6. doi: 10.1016/j.jamcollsurg.2006.02.007. [DOI] [PubMed] [Google Scholar]
  • 5.Wong JH, Severino R, Honnebier MB, Tom P, Namiki TS. Number of nodes examined and staging accuracy in colorectal carcinoma. J Clin Oncol. 1999;17(9):2896–900. doi: 10.1200/JCO.1999.17.9.2896. [DOI] [PubMed] [Google Scholar]
  • 6.Kim J, Huynh R, Abraham I, Kim E, Kumar RR. Number of lymph nodes examined and its impact on colorectal cancer staging. Am Surg. 2006;72(10):902–5. [PubMed] [Google Scholar]
  • 7.Chen SL, Bilchik AJ. More extensive nodal dissection improves survival for stages I to III of colon cancer: a population-based study. Ann Surg. 2006;244(4):602–10. doi: 10.1097/01.sla.0000237655.11717.50. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Kotake K, Honjo S, Sugihara K, et al. Number of lymph nodes retrieved is an important determinant of survival of patients with stage II and stage III colorectal cancer. Jpn J Clin Oncol. 2012;42(1):29–35. doi: 10.1093/jjco/hyr164. [DOI] [PubMed] [Google Scholar]
  • 9.Chang GJ, Rodriguez-Bigas MA, Skibber JM, Moyer VA. Lymph node evaluation and survival after curative resection of colon cancer: systematic review. J Natl Cancer Inst. 2007;99(6):433–41. doi: 10.1093/jnci/djk092. [DOI] [PubMed] [Google Scholar]
  • 10.Lee S, Hofmann LJ, Davis KG, Waddell BE. Lymph node evaluation of colon cancer and its association with improved staging and survival in the Department of Defense Health Care System. Ann Surg Oncol. 2009;16(11):3080–6. doi: 10.1245/s10434-009-0620-4. [DOI] [PubMed] [Google Scholar]
  • 11.Nelson H, Petrelli N, Carlin A, et al. Guidelines 2000 for colon and rectal cancer surgery. J Natl Cancer Inst. 2001;93(8):583–96. doi: 10.1093/jnci/93.8.583. [DOI] [PubMed] [Google Scholar]
  • 12.Fleming ID, Cooper JS, Henson DE, et al., editors. AJCC cancer staging manual. 5th ed Lippincott-Raven Publishers; Philadelphia, PA: 1998. [Google Scholar]
  • 13.American College of Surgeons: Cancer Programs [accessed January 3, 2013];Commission on Cancer Quality of Care Measures. 2011 Available: http://www.facs.org/cancer/qualitymeasures.html.
  • 14.Baxter NN, Virnig DJ, Rothenberger DA, Morris AM, Jessurun J, Virnig BA. Lymph node evaluation in colorectal cancer patients: a population-based study. J Natl Cancer Inst. 2005;97(3):219–25. doi: 10.1093/jnci/dji020. [DOI] [PubMed] [Google Scholar]
  • 15.Johnson PM, Malatjalian D, Porter GA. Adequacy of nodal harvest in colorectal cancer: a consecutive cohort study. J Gastrointest Surg. 2002;6(6):883–88. doi: 10.1016/s1091-255x(02)00131-2. discussion 889-90. [DOI] [PubMed] [Google Scholar]
  • 16.Gorog D, Nagy P, Peter A, Perner F. Influence of obesity on lymph node recovery from rectal resection specimens. Pathol Oncol Res. 2003;9(3):180–3. doi: 10.1007/BF03033734. [DOI] [PubMed] [Google Scholar]
  • 17.Bilimoria KY, Stewart AK, Palis BE, Bentrem DJ, Talamonti MS, Ko CY. Adequacy and importance of lymph node evaluation for colon cancer in the elderly. J Am Coll Surg. 2008;206(2):247–54. doi: 10.1016/j.jamcollsurg.2007.07.044. [DOI] [PubMed] [Google Scholar]
  • 18.Morris EJ, Maughan NJ, Forman D, Quirke P. Identifying stage III colorectal cancer patients: the influence of the patient, surgeon, and pathologist. J Clin Oncol. 2007;25(18):2573–9. doi: 10.1200/JCO.2007.11.0445. [DOI] [PubMed] [Google Scholar]
  • 19.Shen SS, Haupt BX, Ro JY, Zhu J, Bailey HR, Schwartz MR. Number of lymph nodes examined and associated clinicopathologic factors in colorectal carcinoma. Arch Pathol Lab Med. 2009;133(5):781–6. doi: 10.5858/133.5.781. [DOI] [PubMed] [Google Scholar]
  • 20.Hashiguchi Y, Hase K, Ueno H, et al. Impact of race/ethnicity on prognosis in patients who underwent surgery for colon cancer: analysis for white, African, and East Asian Americans. Ann Surg Oncol. 2012;19(5):1517–1528. doi: 10.1245/s10434-011-2113-5. [DOI] [PubMed] [Google Scholar]
  • 21.Yacoub M, Swistak S, Chan S, et al. Factors that influence lymph node retrieval in the surgical treatment of colorectal cancer: a comparison of the laparoscopic versus open approach. [DOI] [PubMed]
  • 22.Hsieh MC, Velasco C, Wu XC, Pareti LA, Andrews PA, Chen VW. Influence of socioeconomic status and hospital type on disparities of lymph node evaluation in colon cancer patients. Cancer. 2012;118(6):1675–83. doi: 10.1002/cncr.26473. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Rhoads KF, Cullen J, Ngo JV, Wren SM. Racial and ethnic differences in lymph node examination after colon cancer resection do not completely explain disparities in mortality. Cancer. 2012;118(2):469–77. doi: 10.1002/cncr.26316. [DOI] [PubMed] [Google Scholar]
  • 24.McBride RB, Lebwohl B, Hershman DL, Neugut AI. Impact of socioeconomic status on extent of lymph node dissection for colon cancer. Cancer Epidemiol Biomarkers Prev. 2010;19(3):738–745. doi: 10.1158/1055-9965.EPI-09-1086. [DOI] [PMC free article] [PubMed] [Google Scholar]; Am J Surg. 2013;205(3):339–342. doi: 10.1016/j.amjsurg.2012.11.003. discussion 342. [DOI] [PubMed] [Google Scholar]
  • 25.Nathan H, Shore AD, Anders RA, Wick EC, Gearhart SL, Pawlik TM. Variation in lymph node assessment after colon cancer resection: patient, surgeon, pathologist, or hospital? J Gastrointest Surg. 2011;15(3):471–9. doi: 10.1007/s11605-010-1410-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Cone MM, Shoop KM, Rea JD, Lu KC, Herzig DO. Ethnicity influences lymph node resection in colon cancer. J Gastrointest Surg. 2010;14(11):1752–7. doi: 10.1007/s11605-010-1296-6. [DOI] [PubMed] [Google Scholar]
  • 27.Agency for Healthcare Research and Quality [accessed April 17, 2014];2012 National Healthcare Disparities Report. 2013 Available: http://www.ahrq.gov/research/findings/nhqrdr/nhdr12/index.html.
  • 28.Ward E, Halpern M, Schrag N, et al. Association of insurance with cancer care utilization and outcomes. CA Cancer J Clin. 2008;58(1):9–31. doi: 10.3322/CA.2007.0011. [DOI] [PubMed] [Google Scholar]
  • 29.Kirby JB, Kaneda T. Unhealthy and uninsured: exploring racial differences in health and health insurance coverage using a life table approach. Demography. 2010;47(4):1035–51. doi: 10.1007/BF03213738. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Bach PB. Racial disparities and site of care. Ethn Dis. Spring. 2005;15(2 Suppl 2):S31–33. [PubMed] [Google Scholar]
  • 31.Noureldine SI, Abbas A, Tufano RP, et al. The Impact of Surgical Volume on Racial Disparity in Thyroid and Parathyroid Surgery. Ann Surg Oncol. 2014 Mar 17; doi: 10.1245/s10434-014-3610-0. [DOI] [PubMed] [Google Scholar]
  • 32.Bristow RE, Chang J, Ziogas A, Randall LM, Anton-Culver H. High-volume ovarian cancer care: survival impact and disparities in access for advanced-stage disease. Gynecol Oncol. 2014;132(2):403–410. doi: 10.1016/j.ygyno.2013.12.017. [DOI] [PubMed] [Google Scholar]
  • 33.Barocas DA, Alvarez J, Koyama T, et al. Racial variation in the quality of surgical care for bladder cancer. Cancer. 2014;120(7):1018–1025. doi: 10.1002/cncr.28520. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Demissie K, Oluwole OO, Balasubramanian BA, Osinubi OO, August D, Rhoads GG. Racial differences in the treatment of colorectal cancer: a comparison of surgical and radiation therapy between Whites and Blacks. Ann Epidemiol. 2004;14(3):215–221. doi: 10.1016/j.annepidem.2003.08.002. [DOI] [PubMed] [Google Scholar]
  • 35.Esnaola NF, Gebregziabher M, Finney C, Ford ME. Underuse of surgical resection in black patients with nonmetastatic colorectal cancer: location, location, location. Ann Surg. 2009;250(4):549–557. doi: 10.1097/SLA.0b013e3181b732a5. [DOI] [PubMed] [Google Scholar]
  • 36.Du XL, Lin CC, Johnson NJ, Altekruse S. Effects of individual-level socioeconomic factors on racial disparities in cancer treatment and survival: findings from the National Longitudinal Mortality Study, 1979-2003. Cancer. 2011;117(14):3242–3251. doi: 10.1002/cncr.25854. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Greene FL, Page DL, Fleming ID, Fritz AG, Balch CM, Haller DG, Morrow M, editors. AJCC Cancer Staging Manual. 6th ed Springer; New York, NY: 2002. [Google Scholar]
  • 38.Soreide K, Nedrebo BS, Soreide JA, Slewa A, Korner H. Lymph node harvest in colon cancer: influence of microsatellite instability and proximal tumor location. World J Surg. 2009;33(12):2695–703. doi: 10.1007/s00268-009-0255-4. [DOI] [PubMed] [Google Scholar]
  • 39.Belt EJ, te Velde EA, Krijgsman O, et al. High lymph node yield is related to microsatellite instability in colon cancer. Ann Surg Oncol. 2012;19(4):1222–30. doi: 10.1245/s10434-011-2091-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Differences in prevalence of obesity among black, white, and Hispanic adults - United States, 2006-2008. MMWR Morb Mortal Wkly Rep. 2009;58(27):740–4. [PubMed] [Google Scholar]
  • 41.Linebarger JH, Mathiason MA, Kallies KJ, Shapiro SB. Does obesity impact lymph node retrieval in colon cancer surgery? Am J Surg. 2010;200(4):478–82. doi: 10.1016/j.amjsurg.2009.12.012. [DOI] [PubMed] [Google Scholar]
  • 42.Richardson DP, Porter GA, Johnson PM. Surgeon knowledge contributes to the relationship between surgeon volume and patient outcomes in rectal cancer. Ann Surg. 2013;257(2):295–301. doi: 10.1097/SLA.0b013e31825ffdca. [DOI] [PubMed] [Google Scholar]
  • 43.Briganti A, Capitanio U, Chun FK, et al. Impact of surgical volume on the rate of lymph node metastases in patients undergoing radical prostatectomy and extended pelvic lymph node dissection for clinically localized prostate cancer. Eur Urol. 2008;54(4):794–802. doi: 10.1016/j.eururo.2008.05.018. [DOI] [PubMed] [Google Scholar]
  • 44.Stocchi L, Fazio VW, Lavery I, Hammel J. Individual surgeon, pathologist, and other factors affecting lymph node harvest in stage II colon carcinoma. is a minimum of 12 examined lymph nodes sufficient? Ann Surg Oncol. 2011;18(2):405–12. doi: 10.1245/s10434-010-1308-5. [DOI] [PubMed] [Google Scholar]
  • 45.Reese JA, Hall C, Bowles K, Moesinger RC. Colorectal surgical specimen lymph node harvest: improvement of lymph node yield with a pathology assistant. J Gastrointest Surg. 2009;13(8):1459–63. doi: 10.1007/s11605-009-0820-z. [DOI] [PubMed] [Google Scholar]
  • 46.Kuijpers CC, van Slooten HJ, Schreurs WH, et al. Better retrieval of lymph nodes in colorectal resection specimens by pathologists’ assistants. J Clin Pathol. 2013;66(1):18–23. doi: 10.1136/jclinpath-2012-201089. [DOI] [PubMed] [Google Scholar]

RESOURCES