Skip to main content
  • Research Article
  • Open access
  • Published:

HIV and cancer: a comparative retrospective study of Brazilian and U.S. clinical cohorts

Abstract

Background

With successful antiretroviral therapy, non-communicable diseases, including malignancies, are increasingly contributing to morbidity and mortality among HIV-infected persons. The epidemiology of AIDS-defining cancers (ADCs) and non-AIDS-defining cancers (NADCs) in HIV-infected populations in Brazil has not been well described. It is not known if cancer trends in HIV-infected populations in Brazil are similar to those of other countries where antiretroviral therapy is also widely available.

Methods

We performed a retrospective analysis of clinical cohorts at Instituto Nacional de Infectologia Evandro Chagas (INI) in Rio de Janeiro and Vanderbilt Comprehensive Care Clinic (VCCC) in Nashville from 1998 to 2010. We used Poisson regression and standardized incidence ratios (SIRs) to examine incidence trends. Clinical and demographic predictors of ADCs and NADCs were examined using Cox proportional hazards models.

Results

This study included 2,925 patients at INI and 3,927 patients at VCCC. There were 57 ADCs at INI (65% Kaposi sarcoma), 47 at VCCC (40% Kaposi sarcoma), 45 NADCs at INI, and 82 at VCCC. From 1998 to 2004, incidence of ADCs remained statistically unchanged at both sites. From 2005 to 2010, ADC incidence decreased in both cohorts (INI incidence rate ratio per year = 0.74, p < 0.01; VCCC = 0.75, p < 0.01). Overall Kaposi sarcoma incidence was greater at INI than VCCC (3.0 vs. 1.2 cases per 1,000 person-years, p < 0.01). Incidence of NADCs remained constant throughout the study period (overall INI incidence 3.6 per 1,000 person-years and VCCC incidence 5.3 per 1,000 person-years). Compared to general populations, overall risk of NADCs was increased at both sites (INI SIR = 1.4 [95% CI 1.1-1.9] and VCCC SIR = 1.3 [1.0-1.7]). After non-melanoma skin cancers, the most frequent NADCs were anal cancer at INI (n = 7) and lung cancer at VCCC (n = 11). In multivariate models, risk of ADC was associated with male sex and immunosuppression. Risk of NADC was associated with increased age.

Conclusions

In both cohorts, ADCs have decreased over time, though incidence of KS was higher at INI than VCCC. Rates of NADCs remained constant over time at both sites.

Background

In the era of highly active antiretroviral therapy (ART), cancer is an important cause of morbidity and mortality of individuals living with HIV. Since 1996, in high-income countries, non-AIDS-defining cancers (NADCs) have increasingly replaced AIDS-defining cancers (ADCs) as causes of cancer morbidity in HIV-infected populations [1]. In particular, Hodgkin lymphoma, liver cancer, lung cancer, anal cancer, and non-melanoma skin cancers occur at rates in HIV-infected populations above expected in general populations [2–8].

Cancers occurring in HIV-infected populations in low- and middle-income countries have not been as well described. Despite increasing availability of ART, ADCs continue to account for substantial morbidity and mortality [9, 10]. In a recent study from Latin America, ADCs were the most common cancers diagnosed in patients following initiation of ART [11]. However, even in resource-limited settings, NADCs and other non-communicable diseases are of growing concern. There is a recognized global need for improved screening, diagnosis, and treatment programs for cancer in HIV-infected populations [12–14].

Brazil represents an important upper-middle-income country to evaluate the epidemiology of cancer occurring in HIV-infected populations. Similar to high-income countries, ART has been available in Brazil since 1996. Brazil also has cancer registries to compare rates of specific cancer types in HIV-infected populations to rates in the general population. Importantly, recent studies from Brazil have indicated that non-AIDS-defining conditions increasingly contribute to morbidity and mortality in HIV-infected individuals [15–19]. The epidemiology of ADCs and NADCs in HIV-infected populations has not been described in Brazil. It is unknown whether cancer trends in HIV-infected populations in Brazil are similar to those in high-income countries like the U.S. This study aimed to compare the epidemiology and predictors of malignancy in clinical cohorts of HIV patients from Rio de Janeiro (Instituto Nacional de Infectologia Evandro Chagas [INI]), Brazil, and Tennessee (Vanderbilt Comprehensive Care Clinic [VCCC]), USA, as an example referent HIV-infected population with a diverse patient profile.

Results

There were 2,925 patients (12,333.8 person-years of follow-up) at INI and 3,927 patients (15,327.2 person-years of follow-up) at VCCC who met inclusion criteria for the study period. Demographic and clinical characteristics of the cohorts are described in Table 1. Overall, patients at INI were more likely to be female, slightly younger, and have lower CD4+ lymphocyte count at clinic entry. INI patients were more likely to report heterosexual risk for HIV and to enroll in care in later calendar years. VCCC patients were more likely to report injection drug use, have hepatitis C virus infection, and report antiretroviral therapy (ART) exposure prior to clinic enrollment. Of those patients surveyed, slightly over half reported a history of tobacco use at each site. Patients at both sites were followed on average for approximately three years. A high proportion of patients at both clinics received ART during follow-up. While more patients at INI had missing laboratory values at clinic enrollment, the frequency of laboratory monitoring during follow-up was similar between the two sites (data not shown).

Table 1 Demographic and clinical characteristics of the study participants by site

During the study period, there were 57 incident ADCs (37 cases of Kaposi sarcoma [KS] and 20 cases of non-Hodgkin lymphoma [NHL]) and 45 incident NADCs diagnosed at INI. There were 47 incident ADCs (19 KS, 27 NHL, and 1 cervical cancer) and 82 incident NADCs diagnosed at VCCC. The incidence of ADCs during the study period was 4.6 per 1,000 person-years (95% confidence interval [CI] 3.5-6.0) at INI and 3.3 per 1,000 person-years (95% CI 2.5-4.4) at VCCC. The incidence of NADCs (including non-melanoma skin cancers) during the study period was 3.6 per 1,000 person-years (95% CI 2.7-4.9) at INI and 5.3 per 1,000 person-years (95% CI 4.3-6.4) at VCCC. The incidence of ADCs and NADCs by year and site are shown in Additional file 1: Table S1 and Additional file 2: Table S2, respectively. At INI, from 1998 to 2010, incidence of ADCs decreased from 38.3 to 1.4 per 1,000 person-years (incidence rate ratio [IRR] per year = 0.92 [95% CI 0.84-1.00]), which was driven by declining incidence of KS (KS IRR per year = 0.89 [95% CI 0.83-0.97]; NHL IRR per year = 0.96 [95% CI 0.82-1.11]). When results were restricted to 2005 to 2010, the trend of decreasing incidence was even stronger (ADC IRR per year = 0.74 [95% CI 0.65-0.85]). Similarly, rates of ADCs at VCCC decreased from 5.7 to 1.3 per 1,000 person-years from 1999 to 2010 (IRR per year = 0.90 [95% CI 0.85-0.96]), also due to changing rates of KS (KS IRR per year 0.84 [95% CI 0.77-0.92]; NHL IRR per year 0.94 [95% CI 0.83-1.06]). Like INI, this trend was strongest in the years 2005 to 2010 (ADC IRR per year = 0.75 [95% CI 0.67-0.84]). At both sites, incidence rates of ADCs were statistically unchanged from 1998 to 2004 (INI IRR per year = 0.82 [95% CI 0.61-1.12] and VCCC IRR per year = 0.91 [95% CI 0.80-1.04]). Incidence of NADCs remained constant at both sites overtime (INI IRR per year = 0.99 [95% CI 0.89-1.12]; VCCC IRR per year = 1.00 [95% CI 0.93-1.07]). The overall incidence of KS was over two-fold higher at INI than at VCCC during the study period (3.0 vs. 1.24 per 1,000 person-years, p < 0.01).

Rates of a number of cancers were higher than expected in respective general populations, with overall ADC and NADC standardized incidence ratios [SIRs] greater than one at both sites (Table 2). For both sites, rates of KS, NHL, and anal cancer were significantly increased compared to respective general populations. Cervical cancer rates at both sites were not increased. At INI, SIRs for lung cancer, squamous and basal cell skin cancers, and laryngeal cancer were increased and nearly met statistical significance. At VCCC, lung cancer and biliary tract cancers occurred at rates significantly above expected. Liver cancer was also associated with increased risk but did not meet statistical significance at VCCC. There was no case of liver cancer in the INI cohort.

Table 2 Standardized incidence ratios (SIRs) of AIDS- and non-AIDS-defining cancers by study site

Cox proportional hazards models for predictors of first ADC, stratified by cohort, are shown in Table 3. In univariable analyses, male sex, increased age at clinic entry, low or missing CD4+ lymphocyte nadir, low time-varying CD4+ lymphocyte count, increased log10 HIV RNA, and cumulative follow-up time with log10 HIV RNA ≥ 5.0 were all associated with increased risk of ADC among patients at INI. Similar predictors were observed at VCCC with the exception that age was not associated with risk while race was. In multivariable models, male sex and low CD4+ lymphocyte count remained statistically associated with increased risk of ADC at both sites. At INI, increased age at clinic entry also remained statistically significant. Cumulative follow-up time with log10 HIV RNA ≥ 5.0 was no longer associated with ADC risk when included in a model adjusting for CD4+ lymphocyte count.

Table 3 Univariable and multivariable Cox proportional hazards models for predictors of first AIDS-defining cancer diagnosis

The Cox models for predictors of first NADC, excluding squamous and basal cell skin cancers, are shown in Table 4. In univariable analyses, at INI, only other HIV transmission risk category and increased age at clinic entry were statistically associated with risk of NADCs. Time-varying CD4+ lymphocyte count was not associated with NADC risk. At VCCC, heterosexual females, compared with men who have sex with men, had a decreased risk of NADCs. Age, low CD4+ lymphocyte nadir, and history of malignancy prior to clinic entry were associated with increased risk of NADC at VCCC in univariable analyses. In multivariable, only increasing age at clinic entry remained statistically associated with risk of incident NADC in either cohort.

Table 4 Univariable and multivariable Cox proportional hazards models for predictors of first non-AIDS-defining cancer diagnosis, excluding squamous and basal cell skin cancers

Lastly, all analyses were repeated using different windows of prevalent diagnoses in the sensitivity analyses presented in Additional file 3: Table S3. The differing prevalence windows had the greatest effect on number of incident ADCs. However, whether cancer diagnoses made after day zero, ten, or 30 following clinic entry were included, results for the analyses were similar.

Discussion

This study is the first to describe the cancer epidemiology in a Brazilian HIV-infected cohort with comparisons to that of the Brazilian general population and a US HIV-infected cohort. Overall rates of ADCs appeared to be decreasing and rates of NADCs remained constant, a trend similar to that seen in the US cohort. Additionally, risk of specific types of cancer and predictors of cancer were similar between the two cohorts.

The decreasing rates of ADCs in both cohorts appeared to be driven by declining rates of KS. In the US, rates of KS were noted to decrease even prior to the availability of highly active ART [2, 20]. In Brazil, some studies have also suggested a decrease in the incidence of KS since 1996 [21]. In our study, incidence of KS was increased in the INI cohort compared to the VCCC cohort. This difference may have been a result of delayed entry into care or decreased access to ART, evidenced by the lower median CD4+ lymphocyte count at clinic entry and lower rate of ART receipt for INI. Studies examining human herpesvirus-8 prevalence in Brazil and elsewhere in Latin America have concluded a background infection risk similar to that of the U.S (0–6.6% of blood bank donors); however prevalence of human herpesvirus-8 in HIV-infected populations in Brazil has not been reported [22]. That the SIR for KS was lower for INI compared to VCCC in this study is likely a reflection of methodological differences in their calculation (the VCCC SIR was calculated using KS rates prior to the HIV epidemic and the INI SIR was calculated using contemporary KS rates, likely influenced by a majority of AIDS-associated cases of KS) [23]. At both sites where active cervical cancer screening programs are present, rates of cervical cancer were low and risk was not above expected for the respective general populations. Unlike KS and NHL, risk of cervical cancer among HIV-infected women has been most consistently reduced – and normalized to that of the general population – with cervical dysplasia screening and treatment programs rather than access to ART [24, 25].

While rates of ADCs appeared to be decreasing at both sites, rates of NADCs were constant. The increasing proportion of non-infectious morbidity and mortality in HIV-infected populations has been observed in both the US and Brazil [1, 15–20, 26]. In high-income countries, a number of malignancies have been observed to occur in HIV-infected populations at high rates, including anal cancer, lung cancer, Hodgkin lymphoma, liver cancer, and non-melanoma skin cancers [2]. Unlike KS and NHL, risks of these cancers have not consistently been associated with degree of immunosuppression [5, 27]. Among the NADCs diagnosed in the INI, risk of anal cancer was more than 60-fold greater than in the general population, likely related to men who have sex with men and high rates of human papillomavirus infection. In 2010, INI began screening for anal dysplasia; however, only two of the seven cases of anal cancer in this study were diagnosed that year. In 2014, anal dysplasia screening was also implemented at VCCC. These screening programs aim to reduce the excess anal cancer observed at both locations. Finally, rates of laryngeal cancer and lung cancer were also increased in the INI cohort, though not quite meeting statistical significance, and were likely related to the high tobacco use reported in the cohort. These cancers have also been observed to occur at increased rates in HIV-infected populations in the US [5, 28, 29]. Smoking cessation programs for harm reduction due to tobacco-related cancers is needed in both countries as the HIV-infected populations continue to age.

Examination of predictors of ADCs and NADCs yielded remarkably similar results for both cohorts. For both cohorts, female sex was associated with decreased risk of ADCs. This effect was likely due to increased risk of human herpesvirus-8 infection and KS among men who have sex with men, a pattern observed in previous studies from the U.S. and Brazil [21, 30]. Among the HIV disease markers that we examined, time-varying CD4+ lymphocyte count remained statistically associated with risk of ADC in multivariable models for both sites. In the multivariable model for INI, increased age at clinic entry was also associated with a small but significant increased risk of ADC. Previous studies have demonstrated an association between human herpesvirus-8 prevalence and age, which could explain this finding [31]. Further study of human herpesvirus-8 epidemiology among HIV-infected individuals in Brazil is needed to explore this relationship.

In examination of NADCs, age was the only significant predictor of risk in multivariable analyses for both cohorts. Unlike the strong association for risk of KS and NHL, CD4+ lymphocyte count has not been consistently associated with risk of NADCs [4, 8, 32–34]. In our study, risk of NADC was not associated with time-varying CD4+ lymphocyte count in univariable analysis at either site. Among patients at VCCC, low CD4+ lymphocyte nadir (<200 cells/μL) was associated with a two-fold increased risk of NADCs in univariable analysis but was not statistically significant in multivariable analyses adjusting for age.

Our study has a number of limitations. We aimed to describe incidence of cancers at both sites and sought to avoid misclassification of prevalent cases by excluding diagnoses occurring the first ten days of clinic follow-up. It is possible that some of the cancers included in this study reflect prevalent rather than incident cases; however, our analyses using a longer window (30 days) yielded similar results. Our study of incidence trends also failed to show a statistically significant decline in ADCs during the early years (1998–2004) of the study period. This may have been due to the smaller amount of person-time contributed during that time or delayed uptake of ART. Another important limitation occurred in the calculation of SIRs for INI. Limited by data available through the regional cancer registries, we could not perform year-adjusted analyses as part of the SIR calculation, having incidence data available only for 2000–2003. However, while these limitations are acknowledged, these analyses reflect the first assessment of cancer risk among a HIV-infected cohort compared to risk in the Brazilian general population. The similarity of the results with those of the US cohort suggests the conclusions drawn from the SIRs are reasonable and likely reflect valid epidemiologic patterns in Brazil. Lastly, due to the small number of events in both cohorts, cancers were assessed in the Cox models as ADCs and NADCs, rather than as individual cancer types. By doing so, cancers without a known association with HIV or other infections (such as breast and prostate cancer) may have limited our ability to detect risk differences conferred by immunodeficiency, HIV-1 RNA, or co-infection by hepatitis viruses. Grouping NADCs into subgroups, including “infectious” and “non-infectious,” may still result in false epidemiologic conclusions and was, therefore, not performed [35]. Even with treating the cancers in groupings of ADCs and NADCs, the small number of events limited our power to detect statistical differences in important predictors (such as immunodeficiency). Our ability to examine predictors of cancers was also limited by the partial availability of tobacco history for both cohorts, an important risk factor for NADCs. Given the stronger association of the effects of ART (immune status and HIV-1 RNA) rather than ART itself, our Cox models did not include time-varying ART as a predictor of cancer. Thus, we cannot assess if differences in ART regimens either within or between cohorts affected risk of ADCs or NADCs.

In this comparative study of Brazilian and U.S. cohorts, we found similar trends in cancer incidence, risk compared to respective general populations, and predictors of malignancy between the two cohorts. As an upper-middle-income country, Brazil is unique in its history of early availability of ART. Recent studies of causes of death among HIV-infected persons in Brazil also have indicated an increasing proportion of non-infectious mortality, similar to that of high-income countries. Further study is needed to examine the ongoing excess risk of KS in Brazil despite available ART. Development of screening and prevention programs for malignancy is needed in both countries.

Conclusions

This study is the first to examine thoroughly epidemiologic trends of AIDS-defining cancers and non-AIDS-defining cancers in an HIV-infected population in Brazil, with a referent US HIV-infected population for comparison. Similar to trends observed in the US setting, the cancer burden in the HIV-infected population in Brazil has shifted from ADCs to increasingly NADCs. A number of NADCs occurred at rates higher than expected in the general Brazilian population. Ongoing cancer screening and prevention, including early availability of ART, is need in both countries.

Methods

This study included adult patients (age ≥ 18 years) of the HIV clinics of the Instituto Nacional de Infectologia Evandro Chagas (INI) of Fundação Oswaldo Cruz in Rio de Janeiro and the Vanderbilt Comprehensive Care Clinic (VCCC) in Nashville. Both single-site cohorts, these clinics provide comprehensive HIV-specialty and primary care to HIV-infected patients. At both clinics, patients are seen routinely every 3 to 6 months for follow-up care. Data for this study were abstracted and validated from medical records at each site. The study was approved by the Comitê de Ética em Pesquisa of INI and by the Vanderbilt University Institutional Review Board.

This retrospective analysis included only new patients who enrolled in care between January 1, 1998, and December 31, 2010. For inclusion, patients must have completed a minimum of 60 days of follow-up (INI) or two clinic visits within the first year of clinic entry (VCCC). Patient follow-up time was censored at death, December 31, 2010, or at the last clinic visit when death occurred more than one year after the last clinic visit or if the last clinic visit was more than one year before the end of the study period (December 31, 2010). Demographic and clinical characteristics of the cohorts were compared using Chi square and Wilcoxon rank sum tests.

The primary outcomes of interest were incident ADCs and NADCs. ADCs included Kaposi sarcoma (KS), non-Hodgkin lymphoma (NHL), and cervical cancer. NADCs included all other cancers. To exclude prevalent cases, cancers diagnosed during the first ten days of clinic follow-up were excluded. Sensitivity analyses with only the exclusion of cancers diagnosed the day of clinic entry and with the exclusion of cancers diagnosed during the first 30 days of follow-up were performed.

Trends in cancer incidence were examined by Poisson regression. Incidence of ADCs and NADCs were calculated as the number of malignancies divided by the total person-time of follow-up of patients enrolled in care each calendar year. Trends were examined by incidence rate ratios (IRR) per year.

To compare rates of individual cancer types with those of the respective general populations, standardized incidence ratios (SIRs) were calculated by dividing the observed by the expected number of cases [36]. For INI, data from Instituto Nacional do Câncer and Instituto Brasileiro de Geografia e Estatística were used to calculate age- and sex-adjusted rates of each cancer type using the 2000–2003 Belo Horizonte registry, as data for Rio de Janeiro are not collected (available at http://www2.inca.gov.br and http://www.ibge.gov.br). Belo Horizonte was selected because, like Rio de Janeiro, it is a capital city of a southeastern state in Brazil. For VCCC, data from Surveillance Epidemiology and End Results (SEER) were used to calculate age-, sex-, race-, and year-adjusted rates of each cancer type using the Atlanta registry, as data for Nashville are not collected (available at http://seer.cancer.gov). Given the strong association of KS with HIV infection, expected KS cases were calculated using the age- and sex-adjusted rates from SEER for 1975–1979 [23]. Atlanta was selected because, like Nashville, it is a capital city of a southeastern state in the US. SEER does not collect data on squamous and basal cell skin cancers so SIRs for these cancers could not be calculated for the VCCC cohort.

Stratified by cohort, Cox proportional hazards models were used to examine predictors of first ADCs and NADCs, excluding squamous and basal cell skin cancers. Patient follow-up time was censored after first cancer event. Baseline demographic and clinical variables were included. Tobacco use data, dichotomized into ever or never users, were from cross-sectional surveys completed previously by a subset of patients at each clinic site. Time-updated CD4+ lymphocyte count (cells/μL), log10 HIV RNA (copies/mL), CD4+ lymphocyte nadir (cells/μL), and cumulative follow-up time with recorded log10 HIV RNA ≥ 5.0 were also included (described below). Multivariable models included a selection of variables based upon physiologic relevance and the number of events to avoid over-fitting.

Time-updated CD4+ lymphocyte count and log10 HIV RNA were created by dividing follow-up time into intervals based upon laboratory events. Laboratory values were carried forward until the next available laboratory results or censoring. When intervals were more than six months, time was divided such that time beyond six months after a laboratory event was associated with missing values until the next laboratory event or censoring occurred. Time-updated CD4+ lymphocyte count nadir was recorded as the lowest absolute CD4+ lymphocyte count available. Time-updated cumulative follow-up time with log10 HIV RNA ≥ 5.0 was recorded as the total amount of follow-up time with HIV RNA level ≥ 100,000 copies/mL. Patients with missing data were labeled as no documented time with log10 HIV RNA ≥ 5.0.

All reported P values are two-sided. All analyses were performed using Stata 12.1 (Stata Corporation, College Station, Texas, USA).

Consent

Data for this study was obtained systematically from medical records of observational, clinic-based research cohorts. Patients at INI provide written informed consent for prior to inclusion in the observational cohort. Observational data from patients at VCCC are gathered retrospectively and, as written informed consent is not feasible for all patients, stored and analyzed removed of all personal identifiers to protect patient privacy. The study was approved by the Comitê de Ética em Pesquisa of INI and by the Vanderbilt University Institutional Review Board.

Abbreviations

ADC:

AIDS-defining cancer

AIDS:

Acquired immunodeficiency syndrome

ART:

Antiretroviral therapy

HIV:

Human immunodeficiency virus

INI:

Instituto Nacional de Infectologia Evandro Chagas, Rio de Janeiro, Brazil

IRR:

Incidence rate ratio

KS:

Kaposi sarcoma

NADC:

Non-AIDS-defining cancer

NHL:

Non-Hodgkin lymphoma

CI:

Confidence interval

SEER:

Surveillance Epidemiology and End Results

SIR:

Standardized incidence ratio

VCCC:

Vanderbilt Comprehensive Care Clinic, Nashville, USA.

References

  1. Shiels MS, Pfeiffer RM, Gail MH, Hall HI, Li J, Chaturvedi AK, et al.: Cancer burden in the HIV-infected population in the United States.J Natl Cancer Inst. 2011, 103:753–62. 10.1093/jnci/djr076

    Article  PubMed  PubMed Central  Google Scholar 

  2. Engels EA, Biggar RJ, Hall HI, Cross H, Crutchfield A, Finch JL, et al.: Cancer risk in people infected with human immunodeficiency virus in the United States.Int J Cancer J Int du Cancer. 2008, 123:187–94. 10.1002/ijc.23487

    Article  CAS  Google Scholar 

  3. Nguyen ML, Farrell KJ, Gunthel CJ: Non-AIDS-defining malignancies in patients with HIV in the HAART Era.Curr Infect Dis Rep. 2010, 12:46–55. 10.1007/s11908-009-0075-6

    Article  PubMed  Google Scholar 

  4. Clifford GM, Polesel J, Rickenbach M, Dal Maso L, Keiser O, Kofler A, et al.: Cancer risk in the Swiss HIV Cohort Study: associations with immunodeficiency, smoking, and highly active antiretroviral therapy.J Natl Cancer Inst. 2005, 97:425–32. 10.1093/jnci/dji072

    Article  PubMed  Google Scholar 

  5. Silverberg MJ, Leyden W, Warton EM, Quesenberry CP Jr, Engels EA, Asgari MM: HIV infection status, immunodeficiency, and the incidence of non-melanoma skin cancer.J Natl Cancer Inst. 2013, 105:350–60. 10.1093/jnci/djs529

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Guiguet M, Boue F, Cadranel J, Lang JM, Rosenthal E, Costagliola D: Effect of immunodeficiency, HIV viral load, and antiretroviral therapy on the risk of individual malignancies (FHDH-ANRS CO4): a prospective cohort study.Lancet Oncol. 2009, 10:1152–9. 10.1016/S1470-2045(09)70282-7

    Article  CAS  PubMed  Google Scholar 

  7. Krishnan S, Schouten JT, Jacobson DL, Benson CA, Collier AC, Koletar SL, et al.: Incidence of non-AIDS-defining cancer in antiretroviral treatment-naive subjects after antiretroviral treatment initiation: an ACTG longitudinal linked randomized trials analysis.Oncology. 2011, 80:42–9. 10.1159/000328032

    Article  PubMed  PubMed Central  Google Scholar 

  8. Kesselring A, Gras L, Smit C, van Twillert G, Verbon A, de Wolf F, et al.: Immunodeficiency as a risk factor for non-AIDS-defining malignancies in HIV-1-infected patients receiving combination antiretroviral therapy.Clin Infect Dis. 2011, 52:1458–65. 10.1093/cid/cir207

    Article  CAS  PubMed  Google Scholar 

  9. Abayomi EA, Somers A, Grewal R, Sissolak G, Bassa F, Maartens D, et al.: Impact of the HIV epidemic and Anti-Retroviral Treatment policy on lymphoma incidence and subtypes seen in the Western Cape of South Africa, 2002–2009: preliminary findings of the Tygerberg Lymphoma Study Group.Transfus Apher Sci. 2011, 44:161–6. 10.1016/j.transci.2011.01.007

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Casper C: The increasing burden of HIV-associated malignancies in resource-limited regions.Annu Rev Med. 2011, 62:157–70. 10.1146/annurev-med-050409-103711

    Article  CAS  PubMed  Google Scholar 

  11. Fink VI, Shepherd BE, Cesar C, Krolewiecki A, Wehbe F, Cortes CP, et al.: Cancer in HIV-infected persons from the Caribbean, Central and South America.J Acquir Immune Defic Syndr. 2011, 56:467–73. 10.1097/QAI.0b013e31820bb1c3

    Article  PubMed  PubMed Central  Google Scholar 

  12. Amuyunzu-Nyamongo M: Need for a multi-factorial, multi-sectorial and multi-disciplinary approach to NCD prevention and control in Africa.Glob Health Promot. 2010, 17:31–2. 10.1177/1757975910363928

    Article  PubMed  Google Scholar 

  13. Beaglehole R, Epping-Jordan J, Patel V, Chopra M, Ebrahim S, Kidd M, et al.: Improving the prevention and management of chronic disease in low-income and middle-income countries: a priority for primary health care.Lancet. 2008, 372:940–9. 10.1016/S0140-6736(08)61404-X

    Article  PubMed  Google Scholar 

  14. Sasco AJ, Jaquet A, Boidin E, Ekouevi DK, Thouillot F, Lemabec T, et al.: The challenge of AIDS-related malignancies in sub-Saharan Africa.PLoS One. 2010, 5:e8621. 10.1371/journal.pone.0008621

    Article  PubMed  PubMed Central  Google Scholar 

  15. Grinsztejn B, Luz PM, Pacheco AG, Santos DV, Velasque L, Moreira RI, et al.: Changing mortality profile among HIV-infected patients in Rio de Janeiro, Brazil: shifting from AIDS to non-AIDS related conditions in the HAART era.PLoS One 2013, 8:e59768. 10.1371/journal.pone.0059768

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Rezende EL, Vasconcelos AM, Pereira MG: Causes of death among people living with HIV/AIDS in Brazil.Braz J Infect Dis. 2010, 14:558–63. 10.1016/S1413-8670(10)70112-4

    PubMed  Google Scholar 

  17. Pacheco AG, Tuboi SH, Faulhaber JC, Harrison LH, Schechter M: Increase in non-AIDS related conditions as causes of death among HIV-infected individuals in the HAART era in Brazil.PLoS One. 2008, 3:e1531. 10.1371/journal.pone.0001531

    Article  PubMed  PubMed Central  Google Scholar 

  18. Ribeiro SR, Luz PM, Campos DP, Moreira RI, Coelho L, Japiassu A, et al.: Incidence and determinants of severe morbidity among HIV-infected patients from Rio de Janeiro, Brazil, 2000–2010.Antiviral Therapy. 2014, 19:387–397. 10.3851/IMP2716

    Article  PubMed  Google Scholar 

  19. Paula AA, Schechter M, Tuboi SH, Faulhaber JC, Luz PM, Veloso VG, et al.: Continuous increase of cardiovascular diseases, diabetes, and Non-HIV related cancers as causes of death in HIV-infected individuals in brazil: an analysis of nationwide data.PLoS One. 2014, 9:e94636. 10.1371/journal.pone.0094636

    Article  PubMed  PubMed Central  Google Scholar 

  20. Selik RM, Byers RH Jr, Dworkin MS: Trends in diseases reported on U.S. death certificates that mentioned HIV infection, 1987–1999.J Acquir Immune Defic Syndr 2002, 29:378–87. 10.1097/00126334-200204010-00009

    Article  PubMed  Google Scholar 

  21. Saraceni V, Talhari CC, Pereira GF, Golub JE, Talhari S, Miranda AE: AIDS-related Kaposi's sarcoma in Brazil: trends and geopolitical distribution.Int J Dermatol. 2013, 52:1525–9. 10.1111/ijd.12116

    Article  PubMed  Google Scholar 

  22. Perez C, Tous M, Gallego S, Zala N, Rabinovich O, Garbiero S, et al.: Seroprevalence of human herpesvirus-8 in blood donors from different geographical regions of Argentina, Brazil, and Chile.J Med Virol. 2004, 72:661–7. 10.1002/jmv.20029

    Article  PubMed  Google Scholar 

  23. Chaturvedi AK, Mbulaiteye SM, Engels EA: Underestimation of relative risks by standardized incidence ratios for AIDS-related cancers.Ann Epidemiol. 2008, 18:230–4. 10.1016/j.annepidem.2007.10.005

    Article  PubMed  Google Scholar 

  24. Massad LS, Seaberg EC, Watts DH, Hessol NA, Melnick S, Bitterman P, et al.: Low incidence of invasive cervical cancer among HIV-infected US women in a prevention program.AIDS. 2004, 18:109–13. 10.1097/00002030-200401020-00013

    Article  PubMed  Google Scholar 

  25. Massad LS, Seaberg EC, Watts DH, Minkoff H, Levine AM, Henry D, et al.: Long-term incidence of cervical cancer in women with human immunodeficiency virus.Cancer. 2009, 115:524–30. 10.1002/cncr.24067

    Article  PubMed  PubMed Central  Google Scholar 

  26. Fazito E, Vasconcelos AM, Pereira MG, de Rezende DF: Trends in non-AIDS-related causes of death among adults with HIV/AIDS, Brazil, 1999 to 2010.Cadernos de saude publica. 2013, 29:1644–53. 10.1590/S0102-311X2013001200016

    Article  PubMed  Google Scholar 

  27. Bedimo RJ, McGinnis KA, Dunlap M, Rodriguez-Barradas MC, Justice AC: Incidence of non-AIDS-defining malignancies in HIV-infected versus noninfected patients in the HAART era: impact of immunosuppression.J Acquir Immune Defic Syndr. 2009, 52:203–8. 10.1097/QAI.0b013e3181b033ab

    Article  PubMed  PubMed Central  Google Scholar 

  28. D'Souza G, Carey TE, William WN Jr, Nguyen ML, Ko EC, Riddell JT, et al.: Epidemiology of head and neck squamous cell cancer among HIV-infected patients.J Acquir Immune Defic Syndr. 2014, 65:603–610. 10.1097/QAI.0000000000000083

    Article  PubMed  PubMed Central  Google Scholar 

  29. Engels EA, Brock MV, Chen J, Hooker CM, Gillison M, Moore RD: Elevated incidence of lung cancer among HIV-infected individuals.J Clin Oncol. 2006, 24:1383–8. 10.1200/JCO.2005.03.4413

    Article  PubMed  Google Scholar 

  30. Mbulaiteye SM, Atkinson JO, Whitby D, Wohl DA, Gallant JE, Royal S, et al.: Risk factors for human herpesvirus 8 seropositivity in the AIDS Cancer Cohort Study.J Clin Virol. 2006, 35:442–9. 10.1016/j.jcv.2005.10.010

    Article  CAS  PubMed  Google Scholar 

  31. Dorrucci M, Serraino D, Rezza G: The effect of aging on the incidence of Kaposi's sarcoma among HIV-positive individuals with known dates of seroconversion.Int J Cancer J Int du Cancer. 2003, 104:251–4. 10.1002/ijc.10938

    Article  CAS  Google Scholar 

  32. Mbulaiteye SM, Biggar RJ, Goedert JJ, Engels EA: Immune deficiency and risk for malignancy among persons with AIDS.J Acquir Immune Defic Syndr. 2003, 32:527–33. 10.1097/00126334-200304150-00010

    Article  PubMed  Google Scholar 

  33. Monforte A, Abrams D, Pradier C, Weber R, Reiss P, Bonnet F, et al.: HIV-induced immunodeficiency and mortality from AIDS-defining and non-AIDS-defining malignancies.AIDS. 2008, 22:2143–53.

    Article  PubMed  Google Scholar 

  34. Bonnet F, Lewden C, May T, Heripret L, Jougla E, Bevilacqua S, et al.: Malignancy-related causes of death in human immunodeficiency virus-infected patients in the era of highly active antiretroviral therapy.Cancer. 2004, 101:317–24. 10.1002/cncr.20354

    Article  PubMed  Google Scholar 

  35. Gopal S, Achenbach CJ, Yanik EL, Dittmer DP, Eron JJ, Engels EA: Moving forward in HIV-associated cancer.J Clin Oncol. 2014, 32:876–80. 10.1200/JCO.2013.53.1376

    Article  PubMed  PubMed Central  Google Scholar 

  36. Ulm K: A simple method to calculate the confidence interval of a standardized mortality ratio (SMR).Am J Epidemiol. 1990, 131:373–5.

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

We are grateful to individuals at INI and VCCC who made this study possible. We thank Dan Rasbach, and Sam Stinnette at Vanderbilt for their work abstracting and validating the cancer diagnoses at VCCC. This study was the result of an INI-Vanderbilt partnership developed through the Caribbean, Central and South American network for HIV epidemiology (CCASAnet) study, a multisite HIV cohort study in which INI participates and Vanderbilt coordinates. We thank CCASAnet data manager Karu Jayathilake for his statistical assistance in this project. This project was funded by grants from the National Institutes of Health (T32 AI007474 [JLC], K24 AI65298 [TRS, SSB, MT], UO1 AI069923 [JLC, PML, BES, CCM, VGV, BG]), the National Council of Technological and Scientific Development (PML, BG), and the Research Agency of the State of Rio de Janeiro (PML, BG). Eric Engels was supported by the Intramural Research Program of the National Cancer Institute.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jessica L Castilho.

Additional information

Competing interests

The authors report no financial conflict of interest related to the subject of this paper. Vanderbilt University has received research grants from Pfizer, Bristol Myers Squibb, and Virco to perform HIV observational studies.

Authors’ contributions

JLC, PML, BG, TRS, CCM, VGV, BES, and EAE contributed to the design of the study. JLC, MT, SRR, JSN, SSB contributed to data validation and preparation of data for analyses. JLC performed biostatistical analyses with guidance from PML, BES, TRS, CCM, VGV, EAE, and BG. JLC, PML, BES, CCM, VGV, EAE, TRS, and BG contributed to interpretation of results. JLC prepared first draft of the manuscript and all authors reviewed and contributed to the preparation of the manuscript for submission. All authors read and approved the final manuscript.

Electronic supplementary material

Additional file 1: Table S1: Incidence of AIDS-defining cancers by year and site. (DOCX 90 KB)

Additional file 2: Table S2: Incidence of non-AIDS-defining cancers by year and site. (DOCX 91 KB)

13027_2014_514_MOESM3_ESM.docx

Additional file 3: Table S3: Sensitivity analyses results of exclusion of cancer diagnoses at the day of clinic entry, within the first ten days of follow-up, and within the first 30 days of follow-up to remove prevalent cases from analyses. (DOCX 34 KB)

Rights and permissions

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Castilho, J.L., Luz, P.M., Shepherd, B.E. et al. HIV and cancer: a comparative retrospective study of Brazilian and U.S. clinical cohorts. Infect Agents Cancer 10, 4 (2015). https://doi.org/10.1186/1750-9378-10-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/1750-9378-10-4

Keywords