Open Access

Patterns of HIV viremia and viral suppression before diagnosis of non-AIDS-defining cancers in HIV-infected individuals

  • David J. Riedel1, 3Email author,
  • Anne F. Rositch2 and
  • Robert R. Redfield1
Contributed equally
Infectious Agents and Cancer201510:38

https://doi.org/10.1186/s13027-015-0033-x

Received: 2 June 2015

Accepted: 11 September 2015

Published: 3 November 2015

Abstract

Background

The association between HIV viremia and non-AIDS-defining cancers (NADCs) is not well characterized. Viremia may contribute directly or indirectly to cancer development and may have a differential impact on various cancer types. Our objective was to characterize patterns of HIV viremia in a retrospective, urban, clinical cohort (N = 320) of patients diagnosed with NADCs.

Findings

The most common NADC’s were lung (n = 60), prostate (n = 47), oropharyngeal (n = 32), liver (n = 29), and anal cancer (n = 20) and Hodgkin lymphoma (n = 18). In the year before cancer diagnosis, 66 % of all patients were virally suppressed. Patients with oropharyngeal (70 %) and prostate cancer (78 %) had a higher proportion of visits with suppressed viral loads. Patients diagnosed with anal cancer and Hodgkin lymphoma were infrequently virally suppressed and more frequently had viral loads ≥5 log10 copies/ml in the ten years prior to cancer diagnosis.

Conclusions

In this cohort of HIV-infected patients diagnosed with NADCs, there were important differences in the patterns and levels of viremia between the different NADCs in the ten years prior to cancer diagnosis. Patients with anal cancer and Hodgkin lymphoma had the highest proportion of high level viremia in the ten years before cancer and the lowest frequency of viral load suppression at cancer diagnosis.

Keywords

HIV AIDS Viremia Non-AIDS-defining cancer Anal cancer Hodgkin lymphoma

Introduction

Cancer risk is markedly increased in HIV-infected individuals compared to the general population, and it has become a frequent cause of morbidity and mortality in this population. Multiple factors contribute to the increased risk of both AIDS-defining cancers (ADCs) and non-AIDS-defining cancers (NADCs), including viremia, immune deficiency, oncogenic virus co-infection (e.g. hepatitis B/C), behavioral carcinogen exposures (e.g. alcohol and tobacco), aging, and possibly antiretroviral therapy (ART) [18].

HIV viremia may contribute directly to development of ADCs, but for NADCs, the impact is not as well characterized and may be indirect [2, 7, 9]. Viremia as a risk factor for malignancies has been measured in various ways, including as duration of high-level circulating virus (i.e., viral load (VL) ≥5 log10) [10], peak VL [11], current or time-lagged nonsuppressed VL [2], and cumulative viremia (i.e. approximate area under the curve) [3, 9], and appears to play a fundamental role in the development of non-Hodgkin lymphoma (NHL) [2, 3, 10]. However, the actual mechanism by which circulating virus contributes to lymphomagenesis is not yet known, and the association and oncogenic mechanisms between HIV viremia and NADCs is understudied.

The purpose of this retrospective cohort study was to characterize patterns of HIV viremia and viral suppression in the ten years preceding NADC diagnosis and to compare these factors among the six most common NADCs (Hodgkin lymphoma and oropharyngeal, anal, liver, lung, and prostate cancer) and to ADCs in a diverse, urban clinic population.

Methods

Medical records of all HIV-infected individuals diagnosed with cancer in the University of Maryland Medical System and Baltimore Veterans Affairs Medical Center from January 2000 to December 2011 were reviewed. Data abstraction methods have been previously described [12]. Cancer diagnoses were confirmed by pathology and clinician reports and were categorized as ADCs (Kaposi sarcoma, invasive cervical cancer, and NHL) or NADCs (all other cancers except the three ADCs). The most common NADCs were further divided into infection-related (anal and liver cancer and Hodgkin lymphoma), infection-unrelated (lung and prostate cancer), and mixed (oropharyngeal cancer) [13]. Although oropharyngeal cancers include a mixture of human papillomavirus (HPV)-related and HPV-unrelated subtypes [14], data on HPV DNA tissue testing or specific anatomical subsites were not available. Institutional Review Boards at each site approved the protocol.

All patients with ≥1 HIV VL measurement in the ten years prior to cancer diagnosis were included in this analysis. Measurements below the level of detection were assumed to be 1 log10. HIV suppression was defined as an HIV RNA VL ≤400 copies/ml (assays over time had varying detection limits). HIV duration was time from HIV diagnosis to cancer diagnosis.

Characteristics of patients are described for NADCs and ADCs overall and for the six most common NADCs, along with the proportion of clinical visits before cancer diagnosis with viral suppression. Categorical variables were compared using chi square, and continuous variables were compared using Wilcoxon rank sum or student’s t test. Levels of viremia (log10) in the 10 years preceding diagnosis are plotted with a fitted linear trend line to examine differences across time. Data analysis was performed using SAS version 9.3 (SAS Institute Inc., Cary, NC, USA).

Results

There were 320 patients diagnosed with NADCs and 105 with ADCs. Characteristics of the patients are shown in Table 1. The median age at NADC diagnosis was 54 (IQR: 48-59) years, and 68 % of NADCs were in patients older than 50 years compared to 76 % of ADCs in patients 50 years or younger. The median number of VL measurements per NADC patient was 12 (IQR: 3-23). The most common NADC’s in this population were lung (n = 60), prostate (n = 47), oropharyngeal (n = 32), liver (n = 29), and anal cancer (n = 20) and Hodgkin lymphoma (n = 18) (Appendix).
Table 1

Demographic and clinical characteristics of patients diagnosed with ADCs and NADCs

 

All ADCs

All NADCs

P value*

Infection-related NADC

Infection-unrelated NADC

Mixeda

(n = 105)

(n = 320)

    

Hodgkin

Anal

Liver

Lung

Prostate

Oral

(n = 18)

(n = 20)

(n = 29)

(n = 60)

(n = 47)

(n = 32)

Characteristics

N (%) or Median (IQR)

  

N (%) or Median (IQR)

Year of diagnosis

         

 2000-2005

39 (37 %)

90 (28 %)

 

7 (39 %)

4 (20 %)

5 (17 %)

19 (32 %)

8 (17 %)

9 (28 %)

 2006-2011

66 (63 %)

230 (72 %)

0.08

11 (61 %)

16 (80 %)

24 (83 %)

41 (68 %)

39 (83 %)

23 (72 %)

Age (years)

         

 ≤50 years

80 (76 %)

101 (32 %)

 

13 (72 %)

15 (75 %)

5 (17 %)

17 (28 %)

1 (2 %)

10 (31 %)

 >50 years

25 (24 %

219 (68 %)

<0.01

5 (28 %)

5 (25 %)

24 (83 %)

43 (72 %)

46 (98 %)

22 (69 %)

Male

81 (77 %)

255 (80 %)

0.58

14 (78 %)

19 (95 %)

29 (100 %)

52 (87 %)

47 (100 %)

23 (72 %)

Black race

89 (85 %)

280 (88 %)

0.04

17 (94 %)

18 (90 %)

24 (83 %)

55 (92 %)

44 (94 %)

31 (97 %)

Smoking

         

 Current/Former

75 (71 %)

284 (89 %)

 

15 (83 %)

18 (90 %)

27 (93 %)

59 (98 %)

43 (91 %)

30 (94 %)

 Never

30 (29 %)

36 (11 %)

<0.01

3 (17 %)

2 (10 %)

2 (7 %)

1 (2 %)

4 (9 %)

2 (6 %)

Alcohol

         

 Current/Former

37 (35 %)

188 (59 %)

 

9 (50 %)

6 (30 %)

26 (90 %)

40 (67 %)

33 (70 %)

26 (81 %)

 Never

68 (65 %)

132 (41 %)

<0.01

9 (50 %)

14 (70 %)

3 (10 %)

20 (33 %)

14 (30 %)

6 (19 %)

Injection drug use

         

 Current/Former

43 (41 %)

165 (52 %)

 

7 (39 %)

8 (40 %)

20 (69 %)

32 (53 %)

19 (40 %)

21 (66 %)

 Never

62 (59 %)

155 (48 %)

0.06

11 (61 %)

12 (60 %)

9 (31 %)

28 (47 %)

28 (60 %)

11 (34 %)

HIV Transmission

         

 IDU

38 (36 %)

145 (45 %)

 

4 22 %)

6 (30 %)

18 (62 %)

28 (47 %)

19 (40 %)

22 (69 %)

 Heterosexual

33 (31 %)

104 (33 %)

 

7 (39 %)

1 (5 %)

5 (17 %)

24 (40 %)

19 (40 %)

9 (28 %)

 MSM

29 (28 %)

50 (16 %)

 

6 (33 %)

11 (55 %)

5 (17 %)

6 (10 %)

5 (11 %)

0 (0 %)

 Transfusion

0 (0 %)

3 (1 %)

 

0 (0 %)

0 (0 %)

0 (0 %)

1 (2 %)

0 (0 %)

0 (0 %)

 Unknown

5 (5 %)

18 (6 %)

0.07

1 (6 %)

2 (10 %)

1 (3 %)

1 (2 %)

4 (9 %)

1 (3 %)

Hepatitis C

42 (40 %)

166 (52 %)

0.03

5 (28 %)

9 (45 %)

22 (76 %)

28 (47 %)

27 (57 %)

22 (69 %)

HIV duration (years)b

6.4 (1.9-12.2)

11.0 (5.6, 15.3)

<0.01

6.3 (4.1, 14.2)

14.0 (8.4, 16.4)

13.6 (7.0, 15.0)

11.4 (5.6, 15.7)

10.8 (5.3, 14.7)

14.2 (7.8, 19.0)

CD4 cell countc

         

 ≤200

37 (38 %)

197 (68 %)

 

6 (33 %)

9 (53 %)

17 (68 %)

32 (60 %)

36 (80 %)

15 (56 %)

 >200

48 (50 %)

65 (22 %)

 

10 (56 %)

6 (35 %)

5 (20 %)

15 (28 %)

4 (9 %)

8 (30 %)

 Unknown

12 (12 %)

28 (10 %)

<0.01

2 (11 %)

2 (12 %)

3 (12 %)

6 (11 %)

5 (11 %)

4 (15 %)

Average no. of HIV RNA VL per patient

6

15

<0.01

10

15

14

13

21

15

Log10 VL (copies/ml)c

4.5 (2.9-5.1)

1.7 (1.0, 3.9)

<0.01

3.0 (1.0, 4.4)

1.0 (1.0, 2.0)

1.9 (1.0, 4.4)

2.9 (1.0, 4.4)

1.0 (1.0, 2.2)

1.0 (1.0, 3.7)

HIV RNA VL suppression ≤400c

23 (34 %)

182 (63 %)

<0.01

9 (50 %)

13 (76 %)

13 (52 %)

25 (47 %)

34 (76 %)

17 (63 %)

ART at diagnosis

34 (32 %)

187 (58 %)

<0.01

6 (33 %)

15 (75 %)

13 (45 %)

31 (52 %)

39 (83 %)

17 (53 %)

*P value is for comparison of ADCs vs. NADCs

aOropharyngeal cancers typically include both human papillomavirus-related and -unrelated cancers

bMissing HIV duration data: NADC's (2), Lung (1)

cN = 290 NADC's with measurements taken within one year before cancer diagnosis. Missing data by cancer individual cancers: Hodgkin (0), Anal (3), Liver (4), Lung (7), Prostate (2), Oral (5)

ADCs AIDS-defining cancers, ART antiretroviral therapy, IDU injection drug use, NADCs non-AIDS-defining cancers, VL viral load

In the year preceding cancer diagnosis, 66 % of all patients with NADCs were virally suppressed compared to only 24 % of patients with ADCs (Table 2). Patients with oropharyngeal (70 %) and prostate cancer (78 %) had higher proportions of visits with suppressed VL in the same time frame, while patients with Hodgkin lymphoma (56 %) and anal cancer (59 %) had lower frequencies of suppression prior to cancer diagnosis. There was significant variability in the proportion of VL suppression at 5-6, 7-8, and 9-10 years before cancer diagnosis (Table 2). Patients with Hodgkin lymphoma had a low proportion of visits with viral suppression before cancer onset (20 % at 3-4 years, 0 % at 5-6 years, 8 % at 7-8 years, and 0 % at 9-10 years). Overall 60 % of all visits in NADC patients in the 10 years before cancer diagnosis had suppressed VL.
Table 2

All NADCs and the six most common individual NADCs: percent (N) of visits with viral suppression (HIV RNA viral load ≤400 copies/ml) before cancer onset

Cancer

Within 1 year of onset

Within 2 years of onset

3-4 years prior to onset

5-6 years prior to onset

7-8 years prior to onset

9-10 years prior to onset

All ADCs

24 % (45)

18 % (12)

30 % (45)

41 % (41)

43 % (18)

38 % (11)

All NADCs

66 % (577)

61 % (429)

61 % (681)

56 % (468)

55 % (317)

65 % (220)

 Infection related

      

  Hodgkin

64 % (30)

48 % (23)

20 % (10)

0 % (0)a

8 % (1)

0 % (0)b

  Anal

65 % (42)

53 % (28)

41 % (39)

20 % (11)

53 % (10)

40 % (2)

  Liver

66 % (42)

64 % (28)

64 % (47)

68 % (49)

74 % (49)

65 % (26)

 Infection unrelated

      

  Lung

51 % (80)

50 % (66)

60 % (107)

62 % (78)

46 % (33)

44 % (27)

  Prostate

79 % (118)

76 % (91)

71 % (154)

56 % (106)

49 % (74)

66 % (52)

 Mixed

      

  Oral

71 % (52)

69 % (43)

74 % (105)

71 % (61)

55 % (35)

50 % (17)

aThere were 0 visits with viral suppression out of 22

bThere were 0 visits with viral suppression out of 3

The linear pattern of the individual log10 VL measurements across time before cancer diagnosis for the six NADCs is shown in Fig. 1a. The slope of viremia curves for both Hodgkin lymphoma and anal cancer were negative, while curves for the other four NADCs were comparatively flat. Figure 1b shows the pattern of VL across time for NADCs compared to ADCs. When further examining the level of VL among all patients with NADCs, only 6.6 % of visits in the ten years before diagnosis had very high VL (e.g. log10 VL ≥5). Patients with anal cancer (19.4 %) and Hodgkin lymphoma (17.5 %) had the highest frequency of ≥5 log10 VL measurements, while those with prostate (2.7 %), liver (3.6 %), lung (5.1 %), and oropharyngeal (6.9 %) cancers had the fewest.
Fig. 1

Patterns of log10 HIV RNA viral load prior to cancer diagnosis for the six most common NADCs (a) and for NADCs versus ADCs (b)

Discussion

In this urban cohort of HIV-infected patients diagnosed with cancer, there were important differences in the patterns of viral suppression and levels of viremia between those with ADCs and NADCs and among the different NADCs in the ten years prior to cancer diagnosis. In general, patients with NADCs had a high frequency of VL suppression and rarely had high level viremia prior to cancer diagnosis. Comparing the six most common NADCs, patients with anal cancer and Hodgkin lymphoma had the highest proportion of high level viremia in the ten years before cancer and the lowest frequency of VL suppression at cancer diagnosis. Conversely, patients with prostate cancer had the highest frequency of VL suppression at cancer diagnosis and the lowest frequency of high level viremia prior to cancer diagnosis. These differing patterns of viremia suggest that certain infection-related NADCs (anal cancer and Hodgkin lymphoma) may be more appropriately categorized with ADCs.

Consistent with earlier studies [2, 7], the majority of NADCs in this cohort occurred in patients who were virally suppressed, raising the possibility that other mechanisms associated with HIV pathogenesis may account for the increased incidence of some NADCs. HIV-related immune activation, chronic inflammation, and immunodeficiency likely also play a role in the development of many non-viral NADCs [15]. The high prevalence of certain chronic viral infections (e.g. hepatitis B/C) [4] and behavioral carcinogens (such as smoking) [5] in the HIV-infected population also contribute to the increased NADC risk. Determining the etiologic role and attributable risk fraction of these different factors remains a critical area of future research.

Compared to the four other NADCs studied, both anal cancer and Hodgkin lymphoma had a high frequency of visits with ≥5 log10 VL in the ten years preceding cancer diagnosis and were also less frequently virologically suppressed at the time of cancer diagnosis. This finding is consistent with prior work showing that cumulative HIV viremia was associated with development of Hodgkin lymphoma and anal cancer but not hepatocellular cancer [9]. Both anal cancer and Hodgkin lymphoma are etiologically associated with co-infecting oncogenic viruses (HPV and Epstein Barr virus, respectively), and the co-existence of persistent, high level circulating HIV viremia with associated immunosuppression impairs the ability to control and clear these viral co-infections [16]. HIV-infected patients are also more likely to have anal HPV infections, to have multiple, concurrent HPV infections, and to carry high-risk, oncogenic HPV subtypes [17]. These factors likely combine to increase the risk for these particular cancers in the HIV-infected population [13]. The results from this study support previous work suggesting that virally associated NADCs like anal cancer and Hodgkin lymphoma may behave differently than typical non-virally associated NADCs and more like an ADC, with HIV itself as a contributory risk factor. Continuing to categorize cancers in HIV-infected patients into the dichotomy of ADCs and NADCs may no longer be supported by emerging biological and epidemiological data.

A strength of this study is the diverse clinical cohort of urban, HIV-infected patients with a high prevalence of African-Americans, injection drug use and hepatitis C virus co-infection, and smoking, which is underrepresented in the literature. Most prior work is from geographic areas or populations with a high proportion of white race and male-to-male sexual contact as the predominant HIV risk factor [13, 18]. As the study population consists largely of inner city African-Americans of low socioeconomic status, the results may not be generalizable to all HIV-infected patients in other settings. Additionally, the study inferences are limited by the retrospective and clinical nature of the data – VL measures were not taken at standard intervals, although reflecting the true nature of clinically observed patterns of HIV viremia. Patients with certain NADCs had more frequent VL measures than others, possibly implying that viremia could be a surrogate for poor engagement in HIV care and higher rates of high-risk behaviors. We also did not have access to a non-cancer comparison group or comprehensive data on traditional cancer risk factors, limiting the ability to make more direct conclusions about the association of viremia with cancer development and diagnosis. Lastly, differences in ART utilization and efficacy may also have contributed to differences in viremia among the various groups.

In conclusion, we found that patients with NADCs largely had suppressed VL at cancer diagnosis. Similar to ADCs, those with anal cancer and Hodgkin lymphoma were less frequently virally suppressed in the years preceding their cancer diagnosis than patients with prostate, lung, liver, or oropharyngeal cancers. As NADCs continue to increase as a cause of non-AIDS-related morbidity and mortality despite viral suppression, further research should investigate the role of circulating viremia in the pathogenesis of these cancers.

Notes

Abbreviations

ADC: 

AIDS-defining cancer

ART: 

Antiretroviral therapy

HIV: 

Human immunodeficiency virus

HPV: 

Human papillomavirus

IQR: 

Interquartile range

NADC: 

Non-AIDS-defining cancer

NHL: 

Non-Hodgkin lymphoma

VL: 

Viral load.

Declarations

Acknowledgements

At the time of the study, DJR was supported by a Paul Calabresi Clinical Oncology Training Program award (K12 CA126849), and AFR was supported, in part, through a 2015 developmental grant from the Johns Hopkins University Center for AIDS Research, an NIH funded program (P30AI094189).

The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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.

Authors’ Affiliations

(1)
Institute of Human Virology and Division of Infectious Diseases, University of Maryland School of Medicine
(2)
Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health
(3)
Institute of Human Virology and Division of Infectious Diseases, University of Maryland School of Medicine, Program in Oncology, University of Maryland Marlene and Stewart Greenebaum Cancer Center

References

  1. 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(12):1152–9. doi:https://doi.org/10.1016/S1470-2045(09)70282-7.View ArticlePubMedGoogle Scholar
  2. Bruyand M, Thiebaut R, Lawson-Ayayi S, Joly P, Sasco AJ, Mercie P, et al. Role of uncontrolled HIV RNA level and immunodeficiency in the occurrence of malignancy in HIV-infected patients during the combination antiretroviral therapy era: Agence Nationale de Recherche sur le Sida (ANRS) CO3 Aquitaine Cohort. Clin Infect Dis. 2009;49(7):1109–16. doi:https://doi.org/10.1086/605594.PubMed CentralView ArticlePubMedGoogle Scholar
  3. Zoufaly A, Stellbrink HJ, Heiden MA, Kollan C, Hoffmann C, van Lunzen J, et al. Cumulative HIV viremia during highly active antiretroviral therapy is a strong predictor of AIDS-related lymphoma. J Infect Dis. 2009;200(1):79–87. doi:https://doi.org/10.1086/599313.View ArticlePubMedGoogle Scholar
  4. Vallet-Pichard A, Pol S. Hepatitis viruses and human immunodeficiency virus co-infection: pathogenesis and treatment. J Hepatol. 2004;41(1):156–66. doi:https://doi.org/10.1016/j.jhep.2004.05.001.View ArticlePubMedGoogle Scholar
  5. 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(6):425–32. doi:https://doi.org/10.1093/jnci/dji072.View ArticlePubMedGoogle Scholar
  6. Burgi A, Brodine S, Wegner S, Milazzo M, Wallace MR, Spooner K, et al. Incidence and risk factors for the occurrence of non-AIDS-defining cancers among human immunodeficiency virus-infected individuals. Cancer. 2005;104(7):1505–11. doi:https://doi.org/10.1002/cncr.21334.View ArticlePubMedGoogle Scholar
  7. Crum-Cianflone N, Hullsiek KH, Marconi V, Weintrob A, Ganesan A, Barthel RV, et al. Trends in the incidence of cancers among HIV-infected persons and the impact of antiretroviral therapy: a 20-year cohort study. AIDS. 2009;23(1):41–50. doi:https://doi.org/10.1097/QAD.0b013e328317cc2d.PubMed CentralView ArticlePubMedGoogle Scholar
  8. Powles T, Robinson D, Stebbing J, Shamash J, Nelson M, Gazzard B, et al. Highly active antiretroviral therapy and the incidence of non-AIDS-defining cancers in people with HIV infection. J Clin Oncol. 2009;27(6):884–90. doi:https://doi.org/10.1200/JCO.2008.19.6626.View ArticlePubMedGoogle Scholar
  9. Kowalkowski MA, Day RS, Du XL, Chan W, Chiao EY. Cumulative HIV viremia and non-AIDS-defining malignancies among a sample of HIV-infected male veterans. J Acquir Immune Defic Syndr. 2014;67(2):204–11. doi:https://doi.org/10.1097/QAI.0000000000000289.View ArticlePubMedGoogle Scholar
  10. Engels EA, Pfeiffer RM, Landgren O, Moore RD. Immunologic and virologic predictors of AIDS-related non-hodgkin lymphoma in the highly active antiretroviral therapy era. J Acquir Immune Defic Syndr. 2010;54(1):78–84. doi:https://doi.org/10.1097/01.qai.0000371677.48743.8d.PubMed CentralView ArticlePubMedGoogle Scholar
  11. Achenbach CJ, Buchanan AL, Cole SR, Hou L, Mugavero MJ, Crane HM, et al. HIV viremia and incidence of non-Hodgkin lymphoma in patients successfully treated with antiretroviral therapy. Clin Infect Dis. 2014;58(11):1599–606. doi:https://doi.org/10.1093/cid/ciu076.PubMed CentralView ArticlePubMedGoogle Scholar
  12. Riedel DJ, Mwangi EI, Fantry LE, Alexander C, Hossain MB, Pauza CD, et al. High cancer-related mortality in an urban, predominantly African-American, HIV-infected population. AIDS. 2013;27(7):1109–17. doi:https://doi.org/10.1097/QAD.0b013e32835dc068.View ArticlePubMedGoogle Scholar
  13. Silverberg MJ, Chao C, Leyden WA, Xu L, Tang B, Horberg MA, et al. HIV infection and the risk of cancers with and without a known infectious cause. AIDS. 2009;23(17):2337–45. doi:https://doi.org/10.1097/QAD.0b013e3283319184.PubMed CentralView ArticlePubMedGoogle Scholar
  14. Chaturvedi AK, Engels EA, Anderson WF, Gillison ML. Incidence trends for human papillomavirus-related and -unrelated oral squamous cell carcinomas in the United States. J Clin Oncol. 2008;26(4):612–9. doi:https://doi.org/10.1200/JCO.2007.14.1713.View ArticlePubMedGoogle Scholar
  15. Borges AH, Dubrow R, Silverberg MJ. Factors contributing to risk for cancer among HIV-infected individuals, and evidence that earlier combination antiretroviral therapy will alter this risk. Curr Opin HIV AIDS. 2013. doi:https://doi.org/10.1097/COH.0000000000000025.
  16. Engels EA. Non-AIDS-defining malignancies in HIV-infected persons: etiologic puzzles, epidemiologic perils, prevention opportunities. AIDS. 2009;23(8):875–85. doi:https://doi.org/10.1097/QAD.0b013e328329216a.PubMed CentralView ArticlePubMedGoogle Scholar
  17. Tong WW, Hillman RJ, Kelleher AD, Grulich AE, Carr A. Anal intraepithelial neoplasia and squamous cell carcinoma in HIV-infected adults. HIV Med. 2014;15(2):65–76. doi:https://doi.org/10.1111/hiv.12080.View ArticlePubMedGoogle Scholar
  18. Achenbach CJ, Cole SR, Kitahata MM, Casper C, Willig JH, Mugavero MJ, et al. Mortality after cancer diagnosis in HIV-infected individuals treated with antiretroviral therapy. AIDS. 2011;25(5):691–700. doi:https://doi.org/10.1097/QAD.0b013e3283437f77.PubMed CentralView ArticlePubMedGoogle Scholar

Copyright

© Riedel et al. 2015

Advertisement