Skip to main content
Top
Published in: Cancer Causes & Control 7/2017

01-07-2017 | Original Paper

Geographic epidemiology of hepatocellular carcinoma, viral hepatitis, and socioeconomic position in New York City

Authors: Mary M. Ford, Elena Ivanina, Payal Desai, Linda Highfield, Baozhen Qiao, Maria J. Schymura, Fabienne Laraque

Published in: Cancer Causes & Control | Issue 7/2017

Login to get access

Abstract

Purpose

Liver cancer (hepatocellular carcinoma (HCC)) incidence and mortality rates are increasing in the United States. New York City (NYC) has a high burden of liver cancer risk factors, including hepatitis C (HCV) and hepatitis B (HBV) infection, which disproportionately affect persons of low socioeconomic position. Identifying neighborhoods with HCC disparities is essential to effectively define targeted cancer control strategies.

Methods

New York State Cancer Registry data from 1 January 2001 through 31 December 2012 were matched with NYC HCV and HBV surveillance data. HCC data were aggregated to NYC Zip Code Tabulation Areas (ZCTAs). Moran’s I cluster analysis, Poisson regression, and geographically weighted Poisson regression were used to identify hotspots in HCC incidence and to examine the spatial associations with viral hepatitis rates, poverty, and uninsured status.

Results

Among NYC residents, 8,827 HCC cases were diagnosed during 2001–2012. Significant clustering was detected in the HCC rates (Moran’s I = 0.25) with the strongest clustering found in HCC patients with comorbid HCV infection (Moran’s I = 0.47). Poverty and uninsured status were associated (p < 0.05) with increased rates of HCC patients with HBV or HCV infection. Neighborhoods with high rates of HCC without viral hepatitis infection had lower rates of poverty and uninsured status.

Conclusions

The geographic variation in HCC highlights the need for neighborhood-targeted interventions to address risk factors and barriers to care. The clusters of HCC by viral hepatitis status may serve as a basis for healthcare policymakers and practitioners to prioritize neighborhoods for cancer screening and control efforts.
Literature
1.
go back to reference Surveillance, Epidemiology, and End Results (SEER) Program (http://www.seer.cancer.gov) Research Data (1973–2011) (2014 based on the Nov 2013 submission). National Cancer Institute DCCPS Surveillance Research Program, Surveillance Systems Branch Surveillance, Epidemiology, and End Results (SEER) Program (http://​www.​seer.​cancer.​gov) Research Data (1973–2011) (2014 based on the Nov 2013 submission). National Cancer Institute DCCPS Surveillance Research Program, Surveillance Systems Branch
2.
go back to reference Cancer incidence and mortality by year, New York City 1976–2013 (2015). New York State Cancer Registry Cancer incidence and mortality by year, New York City 1976–2013 (2015). New York State Cancer Registry
3.
go back to reference Surveillance, Epidemiology, and End Results (SEER) Program (http://www.seer.cancer.gov) SEER*Stat Database. SEER 18 Regs Research Data + Hurricane Katrina impacted Louisiana cases, Nov 2014 Sub (1973–2012 varying)—linked to county attributes—total U.S., 1969–2013 counties, (2015, based on November 2014 submission) Surveillance, Epidemiology, and End Results (SEER) Program (http://​www.​seer.​cancer.​gov) SEER*Stat Database. SEER 18 Regs Research Data + Hurricane Katrina impacted Louisiana cases, Nov 2014 Sub (1973–2012 varying)—linked to county attributes—total U.S., 1969–2013 counties, (2015, based on November 2014 submission)
7.
go back to reference Hepatitis B and C Surveillance Report, 2013 (2013) New York City Department of Health & Mental Hygeine, New York Hepatitis B and C Surveillance Report, 2013 (2013) New York City Department of Health & Mental Hygeine, New York
9.
go back to reference Poverty Data Tool (2012) Poverty research team. NYC Center for Economic Opportunity New York, New York Poverty Data Tool (2012) Poverty research team. NYC Center for Economic Opportunity New York, New York
10.
go back to reference Ward E, Halpern M, Schrag N, Cokkinides V, DeSantis C, Bandi P, Siegel R, Stewart A, Jemal A (2008) Association of insurance with cancer care utilization and outcomes. CA Cancer J Clin 58(1):9–31. doi:10.3322/CA.2007.0011 CrossRefPubMed Ward E, Halpern M, Schrag N, Cokkinides V, DeSantis C, Bandi P, Siegel R, Stewart A, Jemal A (2008) Association of insurance with cancer care utilization and outcomes. CA Cancer J Clin 58(1):9–31. doi:10.​3322/​CA.​2007.​0011 CrossRefPubMed
13.
go back to reference Major JM, Sargent JD, Graubard BI, Carlos HA, Hollenbeck AR, Altekruse SF, Freedman ND, McGlynn KA (2014) Local geographic variation in chronic liver disease and hepatocellular carcinoma: contributions of socioeconomic deprivation, alcohol retail outlets, and lifestyle. Ann Epidemiol 24(2):104–110. doi:10.1016/j.annepidem.2013.11.006 CrossRefPubMed Major JM, Sargent JD, Graubard BI, Carlos HA, Hollenbeck AR, Altekruse SF, Freedman ND, McGlynn KA (2014) Local geographic variation in chronic liver disease and hepatocellular carcinoma: contributions of socioeconomic deprivation, alcohol retail outlets, and lifestyle. Ann Epidemiol 24(2):104–110. doi:10.​1016/​j.​annepidem.​2013.​11.​006 CrossRefPubMed
15.
go back to reference Kaplan GA (1996) People and places: contrasting perspectives on the association between social class and health. Int J Health Serv 26(3):507–519CrossRefPubMed Kaplan GA (1996) People and places: contrasting perspectives on the association between social class and health. Int J Health Serv 26(3):507–519CrossRefPubMed
16.
go back to reference Yen IH, Kaplan GA (1999) Neighborhood social environment and risk of death: multilevel evidence from the Alameda County Study. Am J Epidemiol 149(10):898–907CrossRefPubMed Yen IH, Kaplan GA (1999) Neighborhood social environment and risk of death: multilevel evidence from the Alameda County Study. Am J Epidemiol 149(10):898–907CrossRefPubMed
17.
go back to reference Ten U.S. cities now have 1 million people or more; California and Texas each have three of these places (2015) News releases. United States Census Bureau Ten U.S. cities now have 1 million people or more; California and Texas each have three of these places (2015) News releases. United States Census Bureau
18.
go back to reference Population Facts (2014) Department of City Planning New York, New York Population Facts (2014) Department of City Planning New York, New York
19.
go back to reference The Center for Economic Opportunity (CEO) Poverty Measure, 2005–2012. An Annual Report from the Office of the Mayor (2014). Poverty Research Team, NYC Center for Economic Opportunity New York, New York The Center for Economic Opportunity (CEO) Poverty Measure, 2005–2012. An Annual Report from the Office of the Mayor (2014). Poverty Research Team, NYC Center for Economic Opportunity New York, New York
21.
go back to reference Braveman P, Gottlieb L (2014) The social determinants of health: it’s time to consider the causes of the causes. Public Health Rep 129(Suppl 2):19–31CrossRefPubMedPubMedCentral Braveman P, Gottlieb L (2014) The social determinants of health: it’s time to consider the causes of the causes. Public Health Rep 129(Suppl 2):19–31CrossRefPubMedPubMedCentral
22.
go back to reference Anselin L, Syabri I, Kho Y (2006) GeoDa: an introduction to spatial data analysis. Geogr Anal 38(1):5–22CrossRef Anselin L, Syabri I, Kho Y (2006) GeoDa: an introduction to spatial data analysis. Geogr Anal 38(1):5–22CrossRef
24.
go back to reference Huang X, Jensen C, Šaltenis S (2005) The islands approach to nearest neighbor querying in spatial networks. In: Medeiros CB, Egenhofer M, Bertino E (eds) Advances in spatial and temporal databases, vol 3633., Lecture notes in computer scienceSpringer, Berlin, pp 73–90. doi:10.1007/11535331_5 CrossRef Huang X, Jensen C, Šaltenis S (2005) The islands approach to nearest neighbor querying in spatial networks. In: Medeiros CB, Egenhofer M, Bertino E (eds) Advances in spatial and temporal databases, vol 3633., Lecture notes in computer scienceSpringer, Berlin, pp 73–90. doi:10.​1007/​11535331_​5 CrossRef
25.
go back to reference Nakaya T, Fotheringham A, Brunsdon C, Charlton M (2005) Geographically weighted Poisson regression for disease association mapping. Stat Med 24(17):2695–2717CrossRefPubMed Nakaya T, Fotheringham A, Brunsdon C, Charlton M (2005) Geographically weighted Poisson regression for disease association mapping. Stat Med 24(17):2695–2717CrossRefPubMed
26.
go back to reference Matkan AA, Mohaymany AS, Mirbagheri B, Shahri M (2011) Explorative spatial analysis of traffic accidents using GWPR model for urban safety planning. In: 3rd International Conference on Road Safety and Simulation Matkan AA, Mohaymany AS, Mirbagheri B, Shahri M (2011) Explorative spatial analysis of traffic accidents using GWPR model for urban safety planning. In: 3rd International Conference on Road Safety and Simulation
28.
go back to reference Weisent J, Rohrbach B, Dunn JR (2012) Socioeconomic determinants of geographic disparities in campylobacteriosis risk: a comparison of global and local modeling approaches. Int J Health Geogr 11(1):45CrossRefPubMedPubMedCentral Weisent J, Rohrbach B, Dunn JR (2012) Socioeconomic determinants of geographic disparities in campylobacteriosis risk: a comparison of global and local modeling approaches. Int J Health Geogr 11(1):45CrossRefPubMedPubMedCentral
29.
go back to reference Nakaya T, Charlton M, Lewis P, Brunsdon C, Yao J, Fotheringham AS (2009) GWR4 windows application for geographically weighted regression modelling. GWR 4 Development Team Nakaya T, Charlton M, Lewis P, Brunsdon C, Yao J, Fotheringham AS (2009) GWR4 windows application for geographically weighted regression modelling. GWR 4 Development Team
30.
go back to reference Hogrebe MC, Tate WF (2012) Place, poverty, and algebra: a statewide comparative spatial analysis of variable relationships. J Mathematics Educ Teach Coll 3(2):12–24 Hogrebe MC, Tate WF (2012) Place, poverty, and algebra: a statewide comparative spatial analysis of variable relationships. J Mathematics Educ Teach Coll 3(2):12–24
33.
go back to reference Stepanova M, Kanwal F, El-Serag HB, Younossi ZM (2011) Insurance status and treatment candidacy of hepatitis C patients: analysis of population-based data from the United States. Hepatology 53(3):737–745. doi:10.1002/hep.24131 CrossRefPubMed Stepanova M, Kanwal F, El-Serag HB, Younossi ZM (2011) Insurance status and treatment candidacy of hepatitis C patients: analysis of population-based data from the United States. Hepatology 53(3):737–745. doi:10.​1002/​hep.​24131 CrossRefPubMed
35.
go back to reference Anyiwe K, Qiao Y, De P, Yoshida EM, Earle CC, Thein HH (2015) Effect of socioeconomic status on hepatocellular carcinoma incidence and stage at diagnosis, a population-based cohort study. Liver Int. doi:10.1111/liv.12982 PubMed Anyiwe K, Qiao Y, De P, Yoshida EM, Earle CC, Thein HH (2015) Effect of socioeconomic status on hepatocellular carcinoma incidence and stage at diagnosis, a population-based cohort study. Liver Int. doi:10.​1111/​liv.​12982 PubMed
36.
37.
go back to reference Zaydfudim V, Whiteside MA, Griffin MR, Feurer ID, Wright JK, Pinson CW (2010) Health insurance status affects staging and influences treatment strategies in patients with hepatocellular carcinoma. Ann Surg Oncol 17(12):3104–3111. doi:10.1245/s10434-010-1181-2 CrossRefPubMed Zaydfudim V, Whiteside MA, Griffin MR, Feurer ID, Wright JK, Pinson CW (2010) Health insurance status affects staging and influences treatment strategies in patients with hepatocellular carcinoma. Ann Surg Oncol 17(12):3104–3111. doi:10.​1245/​s10434-010-1181-2 CrossRefPubMed
40.
go back to reference Yang JD, Harmsen WS, Slettedahl SW, Chaiteerakij R, Enders FT, Therneau TM, Orsini L, Kim WR, Roberts LR (2011) Factors that affect risk for hepatocellular carcinoma and effects of surveillance. Clin Gastroenterol Hepatol 9(7):617–623. doi:10.1016/j.cgh.2011.03.027 e611CrossRefPubMed Yang JD, Harmsen WS, Slettedahl SW, Chaiteerakij R, Enders FT, Therneau TM, Orsini L, Kim WR, Roberts LR (2011) Factors that affect risk for hepatocellular carcinoma and effects of surveillance. Clin Gastroenterol Hepatol 9(7):617–623. doi:10.​1016/​j.​cgh.​2011.​03.​027 e611CrossRefPubMed
41.
go back to reference Prevalence of current, heavy, and binge drinking (past 30 days) among adults by demographics, New York City, 2013. New York City Department of Health and Mental Hygeine Prevalence of current, heavy, and binge drinking (past 30 days) among adults by demographics, New York City, 2013. New York City Department of Health and Mental Hygeine
42.
go back to reference Janelle DG, Warf, B., Hansen, K. (ed) (2004) WorldMinds: geographical perspectives on 100 problems. Commemorating the 100th anniversary of the Association of American Geographers 1904–2004 Springer, B.V Janelle DG, Warf, B., Hansen, K. (ed) (2004) WorldMinds: geographical perspectives on 100 problems. Commemorating the 100th anniversary of the Association of American Geographers 1904–2004 Springer, B.V
Metadata
Title
Geographic epidemiology of hepatocellular carcinoma, viral hepatitis, and socioeconomic position in New York City
Authors
Mary M. Ford
Elena Ivanina
Payal Desai
Linda Highfield
Baozhen Qiao
Maria J. Schymura
Fabienne Laraque
Publication date
01-07-2017
Publisher
Springer International Publishing
Published in
Cancer Causes & Control / Issue 7/2017
Print ISSN: 0957-5243
Electronic ISSN: 1573-7225
DOI
https://doi.org/10.1007/s10552-017-0897-8

Other articles of this Issue 7/2017

Cancer Causes & Control 7/2017 Go to the issue
Webinar | 19-02-2024 | 17:30 (CET)

Keynote webinar | Spotlight on antibody–drug conjugates in cancer

Antibody–drug conjugates (ADCs) are novel agents that have shown promise across multiple tumor types. Explore the current landscape of ADCs in breast and lung cancer with our experts, and gain insights into the mechanism of action, key clinical trials data, existing challenges, and future directions.

Dr. Véronique Diéras
Prof. Fabrice Barlesi
Developed by: Springer Medicine