Conditional Colon Cancer Survival in the United States

Similar documents
The Effect of Changing Hysterectomy Prevalence on Trends in Endometrial Cancer, SEER

During the past 2 decades, an increase in the ageadjusted

THE SURVIVORSHIP EXPERIENCE IN PANCREATIC CANCER

The projection of short- and long-term survival for. Conditional Survival Among Patients With Carcinoma of the Lung*

Hysterectomy-Corrected Rates of Endometrial Cancer among Women of Reproductive Age

CCSS Concept Proposal Working Group: Biostatistics and Epidemiology

Cancer incidence and mortality patterns among specific Asian and Pacific Islander populations in the U.S.

Key Words. SEER Cancer Survival Incidence Mortality Prevalence

Unstaged cancer in the United States: a population-based study

Biological Cure. Margaret R. Stedman, Ph.D. MPH Angela B. Mariotto, Ph.D.

ORIGINAL INVESTIGATION. Epidemiology of Hepatocellular Carcinoma in Hispanics in the United States. of hepatocellular carcinoma

Chapter 13 Cancer of the Female Breast

Annual Report to the Nation on the Status of Cancer, , with a Special Feature Regarding Survival

BLACK-WHITE DIFFERENCES IN SURVIVAL FROM LATE-STAGE PROSTATE CANCER

Rare Cancer Prevalence in the SEER Population: Hepatobiliary Cancers,

Trends in Lung Cancer Morbidity and Mortality

Although African American women have a lower incidence of. Histologic Grade, Stage, and Survival in Breast Carcinoma

HEALTH EFFECTS OF PRESERVED WOOD: RELATIONSHIP BETWEEN CCA- TREATED WOOD AND INCIDENCE OF CANCER IN THE UNITED STATES. Daniel C.

Key Words. Cancer statistics Incidence Lifetime risk Multiple primaries Survival SEER

CUTANEOUS MALIGNANT MELANOMA AMONG WHITE HISPANICS AND NON-HISPANICS

Table of Contents. 2 P age. Susan G. Komen

Table of Contents. 2 P age. Susan G. Komen

HD RP. Breast cancer screening practices among American Indians and Alaska Natives in the Midwest

What is the Impact of Cancer on African Americans in Indiana? Average number of cases per year. Rate per 100,000. Rate per 100,000 people*

The American Cancer Society estimates that there will be

Melanoma Surveillance in the United States: Overview of Methods

A post-psa Update on Trends in Prostate Cancer Incidence. Ann Hamilton and Myles Cockburn Keck School of Medicine, USC, Los Angeles

Table of Contents. 2 P a g e. Susan G. Komen

Predictors of Screening Mammography in Patients with Early vs. Advanced Stage Colorectal and Lung Cancer: A Population-Based Study

Fibrolamellar carcinoma (FLC) is a rare primary hepatic

Greater Atlanta Affiliate of Susan G. Komen Quantitative Data Report

The Greater Bay Area Cancer Registry: Annual Incidence and Mortality Review,

7/11/2011. The impact of cancer survival studies on health policy. NCI prevention budget falls. Cases Deaths Survivors

The Relationship between and Geographic Distribution of Breast Cancer Statistics:

The incidence of salivary carcinoma ex pleomorphic adenoma: A SEER database review and review of the literature

Annual Report to the Nation on the Status of Cancer, , With a Special Section on Lung Cancer and Tobacco Smoking

Original Article. Cancer December 1,

Cancer Facts & Figures for African Americans

Errata Corrected 17 January, 2017

Trends in the Use of Implantable Accelerated Partial Breast Irradiation Therapy for Early Stage Breast Cancer in the United States

treated successfully. The predictive value of a positive test varied

Racial differences in six major subtypes of melanoma: descriptive epidemiology

Endoscopic ultrasound and impact on survival in rectal cancer patients : a SEER-Medicare study.

Cancer Prevention Institute of California, Fremont, California. 2. Stanford Cancer Institute, Stanford, California. 3

Table of Contents. 2 P age. Susan G. Komen

Annual Report to the Nation on the Status of Cancer, , Featuring the Increasing Incidence of Liver Cancer

Use of Endocrine Therapy Data Points # 14

Impact of Poor Healthcare Services

Table of Contents. 2 P age. Susan G. Komen

Estimated Minnesota Cancer Prevalence, January 1, MCSS Epidemiology Report 04:2. April 2004

Doctor, How Am I Doing? Conditional Survival Analyses

The Cancer Burden in California. Janet Bates MD MPH California Cancer Registry California Department of Public Health April 25, 2012

Scarlett Gomez, MPH, PhD Cancer Prevention Institute of California NAACCR 2017 conference, Albuquerque NM June 2017

Chapter 5: Epidemiology of MBC Challenges with Population-Based Statistics

Table of Contents. 2 P age. Susan G. Komen

Cancer Statistics, 2011

Adjuvant Chemotherapy for Patients with Stage III Colon Cancer: Results from a CDC-NPCR Patterns of Care Study

Ethnic Disparities in the Treatment of Stage I Non-small Cell Lung Cancer. Juan P. Wisnivesky, MD, MPH, Thomas McGinn, MD, MPH, Claudia Henschke, PhD,

North Carolina Triangle to the Coast Affiliate of Susan G. Komen Quantitative Data Report

CANCER FACTS & FIGURES For African Americans

Chapter Two Incidence & prevalence

Hepatocellular carcinoma (HCC) incidence

Cessation and Cessation Measures

Annual Report to the Nation on the Status of Cancer, , Featuring Survival Questions and Answers

Increased Risk of Unknown Stage Cancer from Residence in a Rural Area: Health Disparities with Poverty and Minority Status

Theresa Keegan, Ph.D., M.S. Associate Professor Department of Internal Medicine Division of Hematology and Oncology

Treatment disparities among elderly colon cancer patients in the United States using SEER-Medicare data

Financial Disclosure. Team. Race-based Socioeconomic and Treatment Disparities in Adolescents and Young Adults with Stage II-III Rectal Cancer

Using Policy, Programs, and Partnerships to Stamp Out Breast and Cervical Cancers

PREVIEW OF REGISTRY-SPECIFIC AND AGGREGATED RELATIVE SURVIVAL ESTIMATES IN CANCER IN NORTH AMERICA

Improving Representation of Diverse Patients in Clinical Trials

Annual Report to the Nation on the Status of Cancer, , Featuring Survival

Cancer in Rural Illinois, Incidence, Mortality, Staging, and Access to Care. April 2014

DATAWATCH 121. Increasing The Odds For Cancer Survival

Research Article Recognition of Depression and Anxiety among Elderly Colorectal Cancer Patients

An Overview of Survival Statistics in SEER*Stat

Research: Biography: Education:

Health Care Reform: Colorectal Cancer Screening Disparities, Before and After the Affordable Care Act (ACA)

Geographic Variation of Advanced Stage Colorectal Cancer in California

Susan G. Komen Tri-Cities Quantitative Data Report

Columbus Affiliate of Susan G. Komen Quantitative Data Report

Lower Use of Hospice by Cancer Patients who Live in Minority Versus White Areas

Wisconsin Cancer Health Disparities Surveillance Reports: Trends in Cancer Disparities Among African Americans and Whites in Wisconsin

Gastrointestinal Cancer

Cancer Statistics, 2008

MISSING IN ACTION : Ethnic Groups in Cancer Screening

Use of Stereotactic Radiosurgery for Brain Metastases From Non-Small Cell Lung Cancer in the United States

Impact of PSA Screening on Prostate Cancer Incidence and Mortality in the US

Epidemiology in Texas 2006 Annual Report. Cancer

WHAT FACTORS INFLUENCE AN ANALYSIS OF HOSPITALIZATIONS AMONG DYING CANCER PATIENTS? AGGRESSIVE END-OF-LIFE CANCER CARE. Deesha Patel May 11, 2011

Table of Contents. 2 P age. Susan G. Komen

Cancer Health Disparities in Tarrant County

THE DECLINE IN CERVICAL CANCER incidence

Advancing Health Equity in Lung Cancer Outcomes

Table of Contents. 2 P age. Susan G. Komen

Percent Surviving 5 Years 89.4%

Nihal Mohamed, Ph.D. Michael A. Diefenbach, Ph.D. Mount Sinai School of Medicine Department of Urology & Oncological Sciences, New York

Cancer Facts & Figures for African Americans

PAPILLARY THYROID CANCER IS A

T he incidence of hepatocellular carcinoma (HCC) has

Transcription:

Research Article imedpub Journals http://www.imedpub.com Colorectal Cancer: Open Access DOI: 10.21767/2471-9943.100020 Abstract Conditional Colon Cancer Survival in the United States Purpose: As long-term colon cancer survivors increase, there is a growing need for subgroup-specific analysis of conditional survival. This paper presents fiveyear conditional relative survival rates of colon cancer, with emphasis placed on subgroup-specific estimates by age, sex, race, ethnicity, marital status, year of diagnosis, and stage at diagnosis. Methods: Analyses are based on 96,022 males and 101,793 females diagnosed with colon cancer during 2000 through 2008, followed through 2012, using data from the National Cancer Institute Surveillance, Epidemiology, and End Results program. Results: Mean five-year conditional relative survival increased for years already survived for local staged disease by 2.3% per year (p<0.05), 5. per year (p<0.05) for regional staged disease, and 10.7% (p<0.05) per year for distant staged disease. Five-year conditional relative survival rates were significantly lower in those less than 65 years of age (p<0.05), more so in unstaged cases; among Blacks (p<0.05), more so in distant and unstaged cases; and other race (p<0.05), more so in local and regional staged cases. The rates were significantly higher in females (p<0.05), more so in regional and distant staged cases; non-hispanics (p<0.05); and married patients (p<0.05), more so for local and regional staged cases. Conclusion: These results provide further useful prognostic information for patients, their families, and physicians tailored to the time already survived since diagnosis. This can be informative in terms of shared decision making and time to "cure." Keywords: Colon cancer; Conditional survival; Relative survival; Population-based; Prognosis; SEER Ray M Merrill, Reshley A Dalisay and Natalie Dayton Department of Health Science, College of Life Sciences, Brigham Young University, Provo, Utah, United States of America Corresponding author: Ray M Merrill Ray_Merrill@byu.edu Department of Health Science, College of Life Sciences, Brigham Young University, Provo, Utah, United States of America. Citation: Merrill RM, Dalisay RA, Dayton N. Conditional Colon Cancer Survival in the United States. Colorec Cancer, 2:2. Received: June 03, ; Accepted: June 09, ; Published: June 15, Introduction Carcinomas of the colon and rectum account for 8% of all cancer cases and 8% of all cancer deaths in the United States, preceded only by prostate, lung and bronchus in males and breast, lung and bronchus in females [1] In the year, it is estimated there will be 134,490 new cases of colorectal cancer (CRC) (70,820 males and 63,670 females) and 49,190 CRC associated deaths (26,020 males and 23,170 females) [1]. The incidence and mortality rates of CRC have steadily declined over the past twenty years, increasing the amount of survivors [2]. Researchers have suggested the increase in the number of long-term colorectal cancer survivors warrants a need for subgroup-specific analysis of conditional survival [3]. As the numbers of CRC survivors increase, conditional survival data becomes increasingly important in order to help determine the changing prognosis for cancer survivors. Conditional survival is the probability that an individual will survive a health related condition after having already survived a certain time. It is a useful prognostic indicator for cancer patients, tailored to the time already survived since diagnosis [4]. This can be informative in regards to determining time to "cure." and influencing treatment decisions. For this reason, conditional survival rates can contribute to a more complete guide for colon cancer patients and their families. Estimating conditional survival rates requires long-term followup in order to accurately update survival likelihoods after initial diagnosis of the disease. The National Cancer Institute Surveillance, Epidemiology, and End Results Program (SEER) Under License of Creative Commons Attribution 3.0 License This article is available in: http://colorectal-cancer.imedpub.com/archive.php 1

has continually collected and maintained cancer data, including time to death, since 1973 [5]. These data are obtained through medical records at hospitals and facilities by population-based cancer registries. The registries routinely collect data on patient demographics, primary tumor site, specific cancer markers, cancer stage at diagnosis, first course of treatment, and patient survival [6]. The SEER Program is the only comprehensive source of population-based cancer information in the United States that includes stage of disease at the time of diagnosis and patient survival [7]. Cancer coding is in accordance with the International Classification of Diseases for Oncology Third Edition (ICD-O-2) [8]. The SEER program was created in response to the National Cancer Act of 1971, which mandated public health surveillance of cancer in the United States for use in the prevention, diagnosis, and treatment of cancer. Precisely 28% of the United States population is covered by these population-based cancer registries [9]. This study presents five-year conditional survival estimates for patients diagnosed with colon cancer and followed for vital status and cause of death. Subgroup-specific conditional survival estimates by age, sex, race, ethnicity, marital status, year of diagnosis, and stage at diagnosis are also addressed. Methods Analyses are based on 96,022 males and 101,793 females diagnosed with colon cancer during 2000 through 2008 and followed through 2012 using data from the National Cancer Institute SEER program. The cancer registries represented in this study include: San Francisco, Connecticut, Detroit (Metropolitan), Hawaii, Iowa, New Mexico, Seattle (Puget Sound), Utah, Atlanta (Metropolitan), San Jose-Monterey, Los Angeles, Alaska Natives, Rural Georgia, California (excluding San Francisco, San Jose- Monterey, Los Angeles), Kentucky, Louisiana, New Jersey, and Greater Georgia. The conditional survival probabilities and their association with selected variables were estimated using the SEER Survival System (SEER*Stat) through multiple regression analyses. Age, sex, race, ethnicity, marital status, and stage at diagnosis can influence conditional survival estimates and were analyzed as potential confounders; additional emphasis is placed on how these variables can influence five-year conditional survival rates. This study uses relative survival [10]. Relative survival is a net survival measure that indicates cancer survival in the absences of other causes of death. It is the ratio of the proportion of observed survivors among a cohort of cancer cases to the proportion of expected survivors in a similar, but cancer free population with similar characteristics. Results The distribution of colon cancer cases is presented by age, sex, race, ethnicity, marital status, stage at diagnosis, and year of diagnosis (Table 1). Five- and ten-year relative survival decreases with age, stage of diagnosis, and is lower among Blacks and those who were single at the time of diagnosis. Five-year conditional 2 relative survival rates for time periods after diagnosis are presented (Figure 1). As the time period after diagnosis (in years) Table 1 Colon Cancer Cases Diagnosed During 2000-2008 and Relative Survival through 2012 According to Selected Variables. Variable No % 5-year survival % 10-year survival % Age <65 years 71,425 36 67 60 65 years 126,390 64 62 56 Sex Male 96,022 49 64 57 Female 101793 51 64 58 Race White 159,191 80 65 59 Black 23,817 12 56 50 Other 14,807 7 66 59 Ethnicity Hispanic 15,787 8 64 57 Non-Hispanic 182,028 92 64 58 Marital Status Married 105,530 53 69 64 Single 92,285 47 58 51 Stage at Diagnosis Local 76,231 39 90 85 Regional 71,044 36 70 62 Distant 41,802 21 12 8 Unknown 8,738 4 31 24 Year of Diagnosis 2000-02 67,806 34 63 57 2003-05 65,413 33 64 58 2006-08 64,596 33 65 Source Surveillance, Epidemiology and End Results Program, 18 registries. 9 7 5 3 1 Figure 1 5-year relative 5-year relative conditional on 1 year after dx 5-year relative conditional on 3 years after dx 5-year relative conditional on 5 years after dx 5-year relative conditional on 10 years after dx 5 year relative survival rates by year, conditioned on already having survived 0, 1, 3, 5 and 10 years. This article is available in: http://colorectal-cancer.imedpub.com/archive.php

increases, the probability of survival increases. The potential for improvement in five-year conditional relative survival is greatest among those less than 65 years of age, females, Whites, non- Hispanics, married at time of diagnosis, and with locally staged disease (Figure 2). As five-year conditional relative survival rates increase towards, the survival of the general population is reached. For example, the relative survival rate at the time of diagnosis is 39% for patients with locally staged disease, but for those who have survived five years, their five-year relative survival rate is 9. Five-year relative survival, conditioned on 0-5 years already survived, are presented by age, sex, race, ethnicity, marital status, and year of diagnosis, stratified by stage at diagnosis (Table 2). In an unadjusted regression model, mean five-year conditional relative survival increased with years already survived for local staged disease by 2.3% per year (p<0.05), 5. per year (p<0.05) for regional staged disease, and 10.7% (p<0.05) per year for distant staged disease; the adjusted model yielded similar results. Five-year conditional relative survival rates were significantly lower in those less than 65 years of age (p<0.05), among Blacks (p<0.05), and other race (p<0.05). The rates were significantly higher in females (p<0.05) and in non-hispanics (p<0.05). Those who were married at the time of diagnosis also had significantly higher five-year conditional survival rates (p<0.05). Significant interaction terms were identified between stage at diagnosis and age (p<0.05), sex (p<0.05), race (p<0.05), and marital status (p<0.05). For example, better conditional relative survival rates in married individuals were more pronounced among local and regional staged cases. Discussion This study presented five-year conditional relative survival rates for colon cancer patients diagnosed during 2000-2008 and followed through 2012, according to age, sex, race, ethnicity, marital status, year of diagnosis, and stage at diagnosis. In general, five-year relative survival, conditioned on already having Age Sex 1 9 7 5 3 1 < 65 65+ Male Female Race Ethnicity 9 7 5 3 1 9 7 5 3 1 White Black Other Non-Hispanic Hispanic Figure 2 9 7 5 3 1 Marital Status Married Single Stage Local Regional Distant Unstaged Relative survival through 10 years (left side of each panel) and five-year relative survival conditioned on having survived 0-5 years (right side of each panel). Under License of Creative Commons Attribution 3.0 License 3

Table 2 5 year Relative Survival Conditioned on (0-5) Years Already Survived (YAS). Tumor Stage Variable Local Regional Distant Unstaged % % % % Unadjusted Model Intercept 90.6 70.6 11.6 31.3 YAS 2.3 5.0 10.7 17.9 YAS YAS -0.4-0.3-0.1-2.1 Adjusted Model Intercept 86.6 63.1 10.9 42.6 YAS 2.5 5.1 10.7 17.4 YAS YAS -0.4-0.4 0.1-2.1 Age <65 years 0.0 0.0 0.0 0.0 65 years -1.7-1.0-1.5-18.6 Sex Male 0.0 0.0 0.0 0.0 Female 2.6 4.9 4.4 1.9 Race White 0.0 0.0 0.0 0.0 Black -4.7-4.4-6.9-10.8 Other -2.4-1.8 0.4 1.6 Hispanic Yes 0.0 0.0 0.0 0.0 No 1.0 1.5-0.7 5.0 Marital Status Single 0.0 0.0 0.0 0.0 Married 5.9 7.1 2.3 9.0 Year 2000-2002 0.0 0.0 0.0 0.0 2003-2005 -0.1 0.8-0.7-4.6 2006-2008 0.4 0.2 0.1-7.4 Source: Surveillance, Epidemiology, and End Results Program, 18 registries research data, 2000-2008 diagnosed cases and followed through 2012. Estimates for each model were simultaneously calculated, adjusted for the other variables in the model. Bolded variables are statistically significant, P<0.05. survived five years, exceeded 90-95%, thus nearing survival rates of the general population [9]. The prognosis for colon cancer survivors improved with each additional year of survival following diagnosis, with the exception of those with locally staged disease, for whom there was no excess mortality during follow-up. Stage of disease at diagnosis had the largest effect on conditional relative survival rates, as consistent with previous research [11]. The five-year relative survival conditioned on 0-5 years already survived presented a change in rate of 2.5% within the locally staged cases, 5.1% within the regionally staged cases, and 10.7% within the distantly staged cases; the greater the severity of the stage of cancer at diagnosis, the higher the change in rate of conditional survival. Although the relative survival rate for later staged cases is initially lower, the longer the patient survives, the better their prognosis for survival. Older age had a slightly negative effect on conditional relative survival among patients for all stages of diagnosis, with locally 4 staged cases having the greatest change in rates. This is also consistent with previous studies [12,13]. Researchers have suggested that this may be due to the elderly being less likely to receive curative treatment than younger patients, and also to the increase in the proportion of younger patients in recent years opting to undergo surgery [12]. Blacks had poorer conditional relative survival rates compared with Whites and other racial groups for all stages of diagnosis, but more so for patients with distant staged or unstaged disease. The comparatively poor survival for Black patients is consistent with previous research [14,15]. The lower conditional survival rates for Blacks could be attributed to later stage at diagnoses, poorer access to care, suboptimal treatment, lower socioeconomic status, and colon cancer biology [16]. Studies have found that Blacks are more likely than Whites to report physician nonrecommendation, lack of knowledge, low perceived risk, and negative attitudes regarding screening [17-19]. In the future, focused screening campaigns and education regarding colon cancer might be beneficial towards the improvement of conditional survival within this subgroup. Females had a greater positive effect on conditional relative survival compared with males, especially for regional and distant staged cases. Although an improvement of survival has been observed in both sexes, females have consistently had a greater survival rate for colon cancer [20,21]. This can be attributed to negative perceptions and fears that men have regarding screening and treatment and the proactive actions women take regarding their health, especially because of social support [22,23]. However, proactive treatment actions of females have varied in the literature depending on geographical region, stage at diagnosis, and age, so more studies need to assess the reasons for colon cancer survival differences among sexes in the United States to further understand this result [22]. Non-Hispanics experienced a slightly greater positive effect on conditional relative survival compared with Hispanics. Although Hispanics are the largest and fastest growing ethnic group in the United States, they often face challenges regarding assimilation, language barriers, reverse migration, and misperceptions regarding colon cancer, especially among older Hispanics, which can contribute to lower survival rates [24,25]. These challenges often contribute to and are associated with lower screening, not having a usual source of care, absence of health insurance, and lower socioeconomic status [24]. These cultural barriers need to be overcome if the overall health outcome of this subgroup is to be improved. Lastly, marital status had an effect on conditional relative survival across each stage category, but more so in local and regional staged cases. This further supports previous hypotheses of marriage having a beneficial effect on health outcomes. The beneficial effect of marriage may be attributed to, at least in part, to social support. Married individuals are often more aggressive in cancer screening, are diagnosed with an earlier stage of cancer, have higher probabilities of surgery and more aggressive treatment options due to their spouse s encouragement, and perhaps have more to live for due to having a committed life partner [26]. This article is available in: http://colorectal-cancer.imedpub.com/archive.php

Conclusion The results provide subgroup-specific prognostic information tailored to the time already survived since diagnosis, which may serve as a resource to colon cancer patients, their families, and physicians. Presenting the age, sex, race, ethnicity, marital status, and year of diagnosis specific information according to stage at diagnosis is a unique contribution of this study. The modifying influence of stage on the effects of these selected variables on conditional relative survival warrants the importance of stratifying such analyses by stage. 5 This article is available in: http://colorectal-cancer.imedpub.com/archive.php

References 1 American Cancer Society () Cancer Facts & Figures. Atlanta, GA: American Cancer Society, Inc. 2 National Cancer Institute () SEER Stat Fact Sheets: Colon and Rectum Cancer. 3 van Erning F, van Steenbergen L, Lemmens V, Rutten H, Martijn H, et al. (2014) Conditional survival for long-term colorectal cancer survivors in the Netherlands: who do best? European Journal of Cancer 50: 1731-1739. 4 Zamboni BA, Yothers G, Choi M, Fuller CD, Dignam JJ, et al. (2010) Conditional survival and the choice of conditioning set for patients with colon cancer: An analysis of NSABP trials C-03 through C-07. Journal of Clinical Oncology 28: 2544 2548. 5 National Cancer Institute () About the SEER Program. 6 National Cancer Institute (2012) SEER: Surveillance, Epidemiology, and End Results. 7 National Cancer Institute () Overview of the SEER Program. 8 Fritz A, Percy C, Jack A, Shanmugaratnam K, Sobin L, et al. (2001) International Classification of Diseases for Oncology. Geneva: World Health Organization. 9 National Cancer Institute () Cancer Incidence Surveillance, Epidemiology, and End Results (SEER) Registries Research Data. Bethesda, MD: National Cancer Institute, Surveillance Systems Branch. 10 National Cancer Institute () Relative Survival. 11 Merrill RM, Hunter BD (2010) Conditional survival among cancer patients in the United States. The Oncologist 15: 873 882. 12 Mitry E, Bouvier A, Esteve J, Faivre J (2005) Improvement in colorectal cancer survival: A population-based study. European Journal of Cancer 41: 2297-2303. 13 O Connel J, Maggard M, Liu J, Etzioni D, Livingston E, et al. (2004) Do young colon cancer patients have worse outcomes? World Journal of Surgery 28: 558-562. 14 Yoon HH, Shi Q, Alberts SR, Goldberg RM, Thibodeau SN, et al. (2015) Alliance for Clinical Trials, in Oncology, (2015). Racial differences in BRAF/KRAS mutation rates and survival in stage III colon cancer patients. JNCI: Journal of the National Cancer Institute 107: 1-10. 15 Lee W, Nelson R, Mailey B, Duldulao M, Garcia-Aguilar, et al. (2012) Socioeconomic factors impact colon cancer outcomes in diverse patient populations. Journal of Gastrointestinal Surgery 16: 692-704. 16 Polite BN, Dignam JJ, Olopade OI (2006) Colorectal Cancer model of health disparities: understanding mortality differences in minority populations. Journal of Clinical Oncology 24: 2179 2187. 17 James AS, Daley CM, Greiner KA (2011) Knowledge and attitudes about colon cancer screening among African Americans. American Journal of Health Behavior 35: 393-401. 18 May FP, Almario CV, Ponce N, Spiegel BR (2015) Racial minorities are more likely than whites to report lack of provider recommendation for colon cancer screening. American Journal of Gastroenterology 110: 1388-1394. 19 Rogers CR, Goodson P, Foster MJ (2015) Factors associated with colorectal cancer screening among younger African American men: A Systematic Review. Journal of Health Disparities Research & Practice 8: 133-157. 20 Kotake K, Asano M, Ozawa H, Kobayashi H, Sugihara K () Gender differences in colorectal cancer survival in Japan. International Journal of Clinical Oncology 21: 194-203. 21 Sjodahl R, Rosell J, Starkhammar H (2013) Causes of death after surgery for colon cancer-impact of other diseases, urgent admittance, and gender. Scandinavian Journal of Gastroenterology 48: 1160-1165. 22 Oliver JS, Martin MY, Richardson L, Kim Y, Pisu M (2013) Gender differences in colon cancer treatment. Journal of Women's Health 22: 344-351. 23 Wong RK, Mee Lian W, Yiong Huak C, Zhu F, Chun Tao W, et al. (2013) Gender differences in predictors of colorectal cancer screening uptake: a national cross sectional study based on the health belief model. BMC Public Health 13: 1-12. 24 Jafri N, Gould M, El-Serag H, Duan Z, Davila J (2013) Incidence and survival of colorectal cancer among Hispanics in the United States: A population-based study. Digestive Diseases & Sciences 58: 2052-2060. 25 Tao L, Ladabaum U, Gomez SL, Cheng I (2014) Colorectal cancer mortality among Hispanics in California: Differences by neighborhood socioeconomic status and nativity. Cancer 120: 3510-3518. 26 Wang L, Wilson SE, Stewart DB, Hollenbeak CS (2011) Marital status and colon cancer outcomes in US Surveillance, Epidemiology and End Results registries: Does marriage affect cancer survival by gender and stage? Cancer Epidemiology 35: 417-422. Under License of Creative Commons Attribution 3.0 License 6