Skip to main content
Top
Published in: Cancer Causes & Control 8/2015

01-08-2015 | Original paper

US trends in survival disparities among adolescents and young adults with non-Hodgkin lymphoma

Authors: Erin E. Kent, Nancy Breen, Denise R. Lewis, Janet S. de Moor, Ashley Wilder Smith, Nita L. Seibel

Published in: Cancer Causes & Control | Issue 8/2015

Login to get access

Abstract

Purpose

Improvement in US survival rates among adolescents and young adults (AYAs, ages 15 through 39 years inclusive) diagnosed with non-Hodgkin lymphoma (NHL) has been documented over the last two decades. We examined national trends in survival disparities for AYAs with NHL by race/ethnicity and socioeconomic status (SES, county-level poverty) to further understand NHL and to begin monitoring health outcome disparities for this disease.

Methods

Surveillance Epidemiology and End Results data were used to calculate 5-year relative survival rates of AYAs diagnosed with NHL from 1992 to 2007 and followed through 2011. Absolute and relative disparities were computed using HD*Calc. Whether a significant linear trend was present was evaluated using Joinpoint. Analyses were replicated after excluding individuals with known HIV infection.

Results

The study sample included 9,573 total and 7,121 non-HIV cases of NHL. Five-year survival rates improved for all groups over time. Significant decreases were found in absolute disparities for race/ethnicity (non-HIV), in relative disparities for SES (total) and race/ethnicity (total and non-HIV) (all p < 0.05). Survival rates of non-Hispanic Blacks and Hispanics remained below than those of non-Hispanic Whites throughout the time period.

Conclusion

Absolute and relative disparities in 5-year survival narrowed for AYAs with NHL over the time period. To continue to promote this trend, future research should investigate factors, particularly diagnostic delays and barriers to care, which continue to contribute to SES and racial/ethnic differences in survival. These factors may be particularly relevant to identify given the recent Affordable Care Act, which is designed to increase access to medical services, particularly for young adults.
Appendix
Available only for authorised users
Literature
1.
go back to reference Adolescent and Young Adult Oncology Progress Review Group (2006) Closing the gap: research and care imperatives for adolescents and young adults with cancer (NIH Publication No. 06-6067). Bethesda, MD Adolescent and Young Adult Oncology Progress Review Group (2006) Closing the gap: research and care imperatives for adolescents and young adults with cancer (NIH Publication No. 06-6067). Bethesda, MD
2.
go back to reference Pulte D, Gondos A, Brenner H (2009) Trends in survival after diagnosis with hematologic malignancy in adolescence or young adulthood in the United States, 1981–2005. Cancer 115:4973–4979PubMedCrossRef Pulte D, Gondos A, Brenner H (2009) Trends in survival after diagnosis with hematologic malignancy in adolescence or young adulthood in the United States, 1981–2005. Cancer 115:4973–4979PubMedCrossRef
3.
go back to reference Pulte D, Redaniel MT, Brenner H, Jeffreys M (2012) Changes in survival by ethnicity of patients with cancer between 1992–1996 and 2002–2006: is the discrepancy decreasing? Ann Oncol 23:2428–2434PubMedCrossRef Pulte D, Redaniel MT, Brenner H, Jeffreys M (2012) Changes in survival by ethnicity of patients with cancer between 1992–1996 and 2002–2006: is the discrepancy decreasing? Ann Oncol 23:2428–2434PubMedCrossRef
4.
go back to reference Li Y, Wang Y, Wang Z, Yi D, Ma S (2015) Racial differences in three major NHL subtypes: descriptive epidemiology. Cancer Epidemiol 39:8–13PubMedCrossRef Li Y, Wang Y, Wang Z, Yi D, Ma S (2015) Racial differences in three major NHL subtypes: descriptive epidemiology. Cancer Epidemiol 39:8–13PubMedCrossRef
5.
go back to reference Kato I, Booza J, Quarshie WO, Schwartz K (2012) Persistent socioeconomic inequalities in cancer survival in the United States: 1973–2007 Surveillance, Epidemiology and End Results (SEER) data for breast cancer and non-Hodgkin’s lymphoma. J Regist Manag 39:158–166 Kato I, Booza J, Quarshie WO, Schwartz K (2012) Persistent socioeconomic inequalities in cancer survival in the United States: 1973–2007 Surveillance, Epidemiology and End Results (SEER) data for breast cancer and non-Hodgkin’s lymphoma. J Regist Manag 39:158–166
6.
go back to reference Kent EE, Morris RA, Largent JA, Ziogas A, Sender LS, Anton-Culver H (2010) Socioeconomic impacts on survival differ by race/ethnicity among adolescents and young adults with non-Hodgkin’s lymphoma. J Cancer Epidemiol Kent EE, Morris RA, Largent JA, Ziogas A, Sender LS, Anton-Culver H (2010) Socioeconomic impacts on survival differ by race/ethnicity among adolescents and young adults with non-Hodgkin’s lymphoma. J Cancer Epidemiol
7.
go back to reference Howlader N, Ries LA, Mariotto AB, Reichman ME, Ruhl J, Cronin KA (2010) Improved estimates of cancer-specific survival rates from population-based data. J Natl Cancer Inst 102:1584–1598PubMedCentralPubMedCrossRef Howlader N, Ries LA, Mariotto AB, Reichman ME, Ruhl J, Cronin KA (2010) Improved estimates of cancer-specific survival rates from population-based data. J Natl Cancer Inst 102:1584–1598PubMedCentralPubMedCrossRef
8.
go back to reference Shiels MS, Engels EA, Linet MS et al (2013) The epidemic of non-Hodgkin lymphoma in the United States: disentangling the effect of HIV, 1992–2009. Cancer Epidemiol Biomark Prev 22:1069–1078CrossRef Shiels MS, Engels EA, Linet MS et al (2013) The epidemic of non-Hodgkin lymphoma in the United States: disentangling the effect of HIV, 1992–2009. Cancer Epidemiol Biomark Prev 22:1069–1078CrossRef
9.
go back to reference Breen N, Scott S, Percy-Laurry A, Lewis D, Glasgow R (2014) Health disparities calculator: a methodologically rigorous tool for analyzing inequalities in population health. Am J Public Health 104:1589–1591PubMedCrossRef Breen N, Scott S, Percy-Laurry A, Lewis D, Glasgow R (2014) Health disparities calculator: a methodologically rigorous tool for analyzing inequalities in population health. Am J Public Health 104:1589–1591PubMedCrossRef
10.
go back to reference Harper S, Lynch J, Meersman SC, Breen N, Davis WW, Reichman MC (2009) Trends in area-socioeconomic and race–ethnic disparities in breast cancer incidence, stage at diagnosis, screening, mortality, and survival among women ages 50 years and over (1987–2005). Cancer Epidemiol Biomark Prev 18:121–131CrossRef Harper S, Lynch J, Meersman SC, Breen N, Davis WW, Reichman MC (2009) Trends in area-socioeconomic and race–ethnic disparities in breast cancer incidence, stage at diagnosis, screening, mortality, and survival among women ages 50 years and over (1987–2005). Cancer Epidemiol Biomark Prev 18:121–131CrossRef
11.
go back to reference An Q, Prejean J, Hall HI (2012) Racial disparity in U.S. diagnoses of acquired immune deficiency syndrome, 2000–2009. Am J Prev Med 43:461–466PubMedCrossRef An Q, Prejean J, Hall HI (2012) Racial disparity in U.S. diagnoses of acquired immune deficiency syndrome, 2000–2009. Am J Prev Med 43:461–466PubMedCrossRef
12.
go back to reference Barr RD, Holowaty EJ, Birch JM (2006) Classification schemes for tumors diagnosed in adolescents and young adults. Cancer 106:1425–1430PubMedCrossRef Barr RD, Holowaty EJ, Birch JM (2006) Classification schemes for tumors diagnosed in adolescents and young adults. Cancer 106:1425–1430PubMedCrossRef
13.
go back to reference Fritz A, Percy C, Jack A et al (2000) International classification of diseases for oncology (ICD-O), 3rd edn. World Health Organization, Geneva Fritz A, Percy C, Jack A et al (2000) International classification of diseases for oncology (ICD-O), 3rd edn. World Health Organization, Geneva
14.
go back to reference NAACCR Race and Ethnicity Work Group (2011) NAACCR guideline for enhancing Hispanic/Latino identification: revised NAACCR Hispanic/Latino identification algorithm [NHIA v2.2.1]. North American Association of Central Cancer Registries, Springfield, IL NAACCR Race and Ethnicity Work Group (2011) NAACCR guideline for enhancing Hispanic/Latino identification: revised NAACCR Hispanic/Latino identification algorithm [NHIA v2.2.1]. North American Association of Central Cancer Registries, Springfield, IL
15.
go back to reference Cho H, Howlader N, Mariotto AB, Cronin KA (2011) Estimating relative survival for cancer patients from the SEER Program using expected rates based on Ederer I versus Ederer II method. Surveillance Research Program, National Cancer Institute, Bethesda, MD Cho H, Howlader N, Mariotto AB, Cronin KA (2011) Estimating relative survival for cancer patients from the SEER Program using expected rates based on Ederer I versus Ederer II method. Surveillance Research Program, National Cancer Institute, Bethesda, MD
16.
go back to reference Health Disparities Calculator Version 1.2.4—October 29 2013. Division of Cancer Control and Population Sciences, Surveillance Research Program and Applied Research Program, National Cancer Institute Health Disparities Calculator Version 1.2.4—October 29 2013. Division of Cancer Control and Population Sciences, Surveillance Research Program and Applied Research Program, National Cancer Institute
17.
go back to reference Harper S, Lynch J (2005) Methods for measuring cancer disparities: using data relevant to Healthy People 2010 cancer-related objectives. NCI Cancer Surveillance Monograph Series. National Cancer Institute, Bethesda, MD Harper S, Lynch J (2005) Methods for measuring cancer disparities: using data relevant to Healthy People 2010 cancer-related objectives. NCI Cancer Surveillance Monograph Series. National Cancer Institute, Bethesda, MD
18.
go back to reference Harper S, Lynch J (2005) Selected comparisons of measures of health disparities: a review using databases relevant to Healthy People 2010 cancer-related objectives. National Cancer Institute, Bethesda, MD Harper S, Lynch J (2005) Selected comparisons of measures of health disparities: a review using databases relevant to Healthy People 2010 cancer-related objectives. National Cancer Institute, Bethesda, MD
19.
go back to reference Surveillance E, and End Results (SEER) Program (www.seer.cancer.gov). SEER*Stat Database: Incidence—SEER 18 Regs Research Data, Nov 2011 Sub (1973–2010) <Katrina/Rita Population Adjustment>—Linked To County Attributes—Total U.S., 1969–2010 Counties, National Cancer Institute, DCCPS, Surveillance Research Program, Surveillance Systems Branch, released April 2013, based on the November 2012 submission Surveillance E, and End Results (SEER) Program (www.​seer.​cancer.​gov). SEER*Stat Database: Incidence—SEER 18 Regs Research Data, Nov 2011 Sub (1973–2010) <Katrina/Rita Population Adjustment>—Linked To County Attributes—Total U.S., 1969–2010 Counties, National Cancer Institute, DCCPS, Surveillance Research Program, Surveillance Systems Branch, released April 2013, based on the November 2012 submission
20.
go back to reference Statistical Methodology and Applications Branch SRP, National Cancer Institute. Joinpoint Regression Program, Version 4.0.4—May 2013 Statistical Methodology and Applications Branch SRP, National Cancer Institute. Joinpoint Regression Program, Version 4.0.4—May 2013
21.
go back to reference Bleyer A, Choi M, Fuller CD, Thomas CR Jr, Wang SJ (2009) Relative lack of conditional survival improvement in young adults with cancer. Semin Oncol 36:460–467PubMedCrossRef Bleyer A, Choi M, Fuller CD, Thomas CR Jr, Wang SJ (2009) Relative lack of conditional survival improvement in young adults with cancer. Semin Oncol 36:460–467PubMedCrossRef
22.
go back to reference Frederiksen BL, Dalton SO, Osler M, Steding-Jessen M, de Nully Brown P (2012) Socioeconomic position, treatment, and survival of non-Hodgkin lymphoma in Denmark—a nationwide study. Br J Cancer 106:988–995PubMedCentralPubMedCrossRef Frederiksen BL, Dalton SO, Osler M, Steding-Jessen M, de Nully Brown P (2012) Socioeconomic position, treatment, and survival of non-Hodgkin lymphoma in Denmark—a nationwide study. Br J Cancer 106:988–995PubMedCentralPubMedCrossRef
23.
go back to reference Woods LM, Rachet B, Coleman MP (2006) Origins of socio-economic inequalities in cancer survival: a review. Ann Oncol 17:5–19PubMedCrossRef Woods LM, Rachet B, Coleman MP (2006) Origins of socio-economic inequalities in cancer survival: a review. Ann Oncol 17:5–19PubMedCrossRef
25.
go back to reference Sandlund JT (2007) Should adolescents with NHL be treated as old children or young adults? Hematology/the Education Program of the American Society of Hematology. American Society of Hematology. Education Program, pp 297–303 Sandlund JT (2007) Should adolescents with NHL be treated as old children or young adults? Hematology/the Education Program of the American Society of Hematology. American Society of Hematology. Education Program, pp 297–303
26.
go back to reference Keegan TH, Moy LM, Foran JM et al (2013) Rituximab use and survival after diffuse large B-cell or follicular lymphoma: a population-based study. Leuk Lymphoma 54:743–751PubMedCrossRef Keegan TH, Moy LM, Foran JM et al (2013) Rituximab use and survival after diffuse large B-cell or follicular lymphoma: a population-based study. Leuk Lymphoma 54:743–751PubMedCrossRef
27.
go back to reference Flowers CR, Fedewa SA, Chen AY et al (2012) Disparities in the early adoption of chemoimmunotherapy for diffuse large B-cell lymphoma in the United States. Cancer Epidemiol Biomark Prev 21:1520–1530CrossRef Flowers CR, Fedewa SA, Chen AY et al (2012) Disparities in the early adoption of chemoimmunotherapy for diffuse large B-cell lymphoma in the United States. Cancer Epidemiol Biomark Prev 21:1520–1530CrossRef
28.
go back to reference Bruce CJ (2007) Rituxan® anniversary: 10 years of progress. Oncol Bus Rev (November):18–19 Bruce CJ (2007) Rituxan® anniversary: 10 years of progress. Oncol Bus Rev (November):18–19
29.
go back to reference Cronin DP, Harlan LC, Clegg LX, Stevens JL, Yuan G, Davis TA (2005) Patterns of care in a population-based random sample of patients diagnosed with non-Hodgkin’s lymphoma. Hematol Oncol 23:73–81PubMedCrossRef Cronin DP, Harlan LC, Clegg LX, Stevens JL, Yuan G, Davis TA (2005) Patterns of care in a population-based random sample of patients diagnosed with non-Hodgkin’s lymphoma. Hematol Oncol 23:73–81PubMedCrossRef
30.
go back to reference Komrokji RS, Al Ali NH, Beg MS et al (2011) Outcome of diffuse large B-Cell lymphoma in the United States has improved over time but racial disparities remain: review of SEER data. Clin Lymphoma Myeloma Leuk 11:257–260PubMedCrossRef Komrokji RS, Al Ali NH, Beg MS et al (2011) Outcome of diffuse large B-Cell lymphoma in the United States has improved over time but racial disparities remain: review of SEER data. Clin Lymphoma Myeloma Leuk 11:257–260PubMedCrossRef
31.
go back to reference Frey CM, McMillen MM, Cowan CD, Horm JW, Kessler LG (1992) Representativeness of the surveillance, epidemiology, and end results program data: recent trends in cancer mortality rates. J Natl Cancer Inst 84:872–877PubMedCrossRef Frey CM, McMillen MM, Cowan CD, Horm JW, Kessler LG (1992) Representativeness of the surveillance, epidemiology, and end results program data: recent trends in cancer mortality rates. J Natl Cancer Inst 84:872–877PubMedCrossRef
32.
go back to reference Yu M, Tatalovich Z, Gibson JT, Cronin KA (2014) Using a composite index of socioeconomic status to investigate health disparities while protecting the confidentiality of cancer registry data. Cancer Causes Control 25:81–92PubMedCrossRef Yu M, Tatalovich Z, Gibson JT, Cronin KA (2014) Using a composite index of socioeconomic status to investigate health disparities while protecting the confidentiality of cancer registry data. Cancer Causes Control 25:81–92PubMedCrossRef
33.
go back to reference Levit L, Balogh E, Nass S, Ganz PA (2013) Delivering high-quality cancer care: charting a new course for a system in crisis. The National Academies Press, Washington, DC Levit L, Balogh E, Nass S, Ganz PA (2013) Delivering high-quality cancer care: charting a new course for a system in crisis. The National Academies Press, Washington, DC
34.
go back to reference Zebrack B, Isaacson S (2012) Psychosocial care of adolescent and young adult patients with cancer and survivors. J Clin Oncol 30:1221–1226PubMedCrossRef Zebrack B, Isaacson S (2012) Psychosocial care of adolescent and young adult patients with cancer and survivors. J Clin Oncol 30:1221–1226PubMedCrossRef
35.
go back to reference Guy GP Jr, Yabroff KR, Ekwueme DU et al (2014) Estimating the health and economic burden of cancer among those diagnosed as adolescents and young adults. Health Aff (Millwood) 33:1024–1031CrossRef Guy GP Jr, Yabroff KR, Ekwueme DU et al (2014) Estimating the health and economic burden of cancer among those diagnosed as adolescents and young adults. Health Aff (Millwood) 33:1024–1031CrossRef
36.
go back to reference Keegan TH, Tao L, Derouen MC et al (2014) Medical care in adolescents and young adult cancer survivors: what are the biggest access-related barriers? J Cancer Surviv 8:282–292PubMedCentralPubMedCrossRef Keegan TH, Tao L, Derouen MC et al (2014) Medical care in adolescents and young adult cancer survivors: what are the biggest access-related barriers? J Cancer Surviv 8:282–292PubMedCentralPubMedCrossRef
37.
go back to reference Aizer AA, Falit B, Mendu ML et al (2014) Cancer-specific outcomes among young adults without health insurance. J Clin Oncol 32:2025–2030 Aizer AA, Falit B, Mendu ML et al (2014) Cancer-specific outcomes among young adults without health insurance. J Clin Oncol 32:2025–2030
38.
go back to reference Pew Hispanic Center (2011) Census 2010: 50 million Latinos: Hispanics account for more than half of the nation’s growth in past decade. Pew Research Center Pew Hispanic Center (2011) Census 2010: 50 million Latinos: Hispanics account for more than half of the nation’s growth in past decade. Pew Research Center
Metadata
Title
US trends in survival disparities among adolescents and young adults with non-Hodgkin lymphoma
Authors
Erin E. Kent
Nancy Breen
Denise R. Lewis
Janet S. de Moor
Ashley Wilder Smith
Nita L. Seibel
Publication date
01-08-2015
Publisher
Springer International Publishing
Published in
Cancer Causes & Control / Issue 8/2015
Print ISSN: 0957-5243
Electronic ISSN: 1573-7225
DOI
https://doi.org/10.1007/s10552-015-0609-1

Other articles of this Issue 8/2015

Cancer Causes & Control 8/2015 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