Abstract
Objective
Utilizing the Veterans Aging Cohort Study, the largest HIV cohort in North America, we conducted one of the few comprehensive comparisons of cancer incidence time trends in HIV-infected (HIV+) versus uninfected persons during the antiretroviral therapy (ART) era.
Design
Prospective cohort study.
Methods
We followed 44,787 HIV+ and 96,852 demographically-matched uninfected persons during 1997–2012. We calculated age-, sex-, and race/ethnicity-standardized incidence rates (IR) and incidence rate ratios (IRR, HIV+ versus uninfected) over four calendar periods with IR and IRR period trend p-values for cancer groupings and specific cancer types.
Results
We observed 3,714 incident cancer diagnoses in HIV+ and 5,760 in uninfected persons. The HIV+ all cancer crude IR increased between 1997–2000 and 2009–2012 (p-trend=0.0019). However, after standardization, we observed highly significant HIV+ IR declines for all cancer (25% decline; p-trend<0.0001), AIDS-defining cancers (ADC; 55% decline; p-trend<0.0001), non-AIDS-defining cancers (NADC; 15% decline; p-trend=0.0003), and non-virus-related NADC (20% decline; p-trend<0.0001); significant IRR declines for all cancer (from 2.0 to 1.6; p-trend<0.0001), ADC (from 19 to 5.5; p-trend<0.0001), and non-virus-related NADC (from 1.4 to 1.2; p-trend=0.049); and borderline significant IRR declines for NADC (from 1.6 to 1.4; p-trend=0.078) and virus-related NADC (from 4.9 to 3.5; p-trend=0.071).
Conclusion
Improved HIV care resulting in improved immune function most likely contributed to the HIV+ IR and the IRR declines. Further promotion of early and sustained ART, improved ART regimens, reduction of traditional cancer risk factor (e.g., smoking) prevalence, and evidence-based screening could contribute to future cancer incidence declines among HIV+ persons.
Keywords: acquired immunodeficiency syndrome, HIV infections, neoplasms, cancer, Veterans
INTRODUCTION
Cancer is a leading cause of death among persons living with HIV/AIDS [1–4]. Before the advent of combination antiretroviral therapy (ART) in 1996, AIDS-defining cancers (ADC; Kaposi sarcoma [KS], non-Hodgkin lymphoma [NHL], and invasive cervical cancer) represented most cancer cases among HIV-infected (HIV+) persons [5]. The introduction of ART was followed by a substantial ADC incidence rate (IR) decline [5–13]. Simultaneously, the increasing lifespan and consequent aging of the HIV+ population [14] resulted in an increased crude non-AIDS-defining cancer (NADC) IR [5, 6, 8, 12, 15] and a shift in cancer burden from ADC to NADC [5]. Although the crude NADC IR increased between the pre-ART and ART eras, once age and other demographic factors were taken into account, the NADC IR declined [5], remained steady [11], or increased [12, 13].
Cancer time trend studies restricted to the ART era have for the most part focused on a limited number of cancer types and have varied in range and recency of calendar years studied [11, 16–26]. Studies of adjusted IR time trends that classified NADC into broad groupings have produced inconsistent results [20, 23–25]. Evidence supports decreasing trends for lung cancer and Hodgkin lymphoma and an increasing trend for liver cancer, but results for anal cancer have been inconsistent; many nonsignificant trends for specific NADC have been observed, perhaps due to insufficient statistical power [11, 16–19, 21–23, 26]. The ADC adjusted IR has continued to decline during the ART era [9, 11, 17, 18, 20, 23, 24].
Despite the continued decline of the ADC IR, the relative risk (HIV+ versus uninfected) remains elevated, even in the more recent ART era [9, 11, 23]. The relative risk for NADC (grouped) [11, 12, 20, 23] and for specific NADC, including oral cavity and pharynx, anal, lung, and liver cancers and Hodgkin lymphoma, is elevated as well [27–29]. However, few studies have examined time trends in cancer relative risk during the ART era [9, 16, 18, 19, 23]. Several of these studies compared HIV+ persons with the general population using standardized incidence ratios [18, 19], but we are aware of only one study (from Kaiser Permanente in California during 1996–2007) that examined cancer incidence rate ratio (IRR) time trends in HIV+ versus demographically-similar uninfected persons across a range of cancer groupings and specific types [23].
Our objective was to conduct a comprehensive assessment of cancer incidence time trends during the ART era (1997–2012) in the Veterans Aging Cohort Study (VACS), a large, national HIV cohort that includes a demographically-similar uninfected comparison group.
METHODS
The VACS is an open cohort assembled from national Veterans Health Administration (VA) databases (e.g., demographic, vital status, inpatient and outpatient encounters, laboratory results) with no direct researcher-patient contact [30]. VACS enrolls HIV+ Veterans when they begin HIV care in the VA and matches two uninfected Veterans by age, sex, race/ethnicity, and clinical site. VA Connecticut Healthcare System and Yale University Institutional Review Boards have approved this study.
We linked VACS to the Veterans Affairs Central Cancer Registry (VACCR), a national registry of cancer cases diagnosed or treated at the VA [31] and mapped International Classification of Diseases for Oncology, Third Edition (ICD-O-3) [32] topography and morphology codes from VACCR records to specific cancer types, consistent with Surveillance, Epidemiology, and End Results (SEER) recoding algorithms [33]. We then further classified select NADC anatomic sites (oral cavity and pharynx, anal, liver, vagina, vulva, penis) into virus-related NADC (virus-NADC; Appendix Table 1) and non-virus-related NADC (non-virus-NADC). We used the following cancer group classification: all cancer; ADC; all NADC; virus-NADC; non-virus-NADC; non-lung, non-virus-NADC; and poorly specified cancers (Appendix Table 1). For cancer group IR analyses, the endpoint for a given subject was the first diagnosis of a cancer type classified in the group. To calculate the proportion of cancer cases by cancer type or group, we included all incident cancer cases, not just the first diagnosis per subject. For example, a subject diagnosed with both prostate and colorectal cancer contributed two non-virus-NADC cases.
For each cancer group or type and calendar period (1997–2000, 2001–2004, 2005–2008, or 2009–2012), we used the direct method to calculate age-, sex-, and race/ethnicity-standardized IRs [34] stratified by HIV status; a standardized IRR (HIV+ versus uninfected); and 95% confidence intervals (95% CI). Henceforth, “IR” and “IRR” signify standardized calculations, whereas “crude IR” signifies a non-standardized crude incidence rate. IRs provide information about HIV-status-specific absolute risk (after controlling for demographic factors) whereas IRRs provide information about risk in HIV+ relative to uninfected.
For direct standardization, we used the age (5-year groups), sex, and race/ethnicity (non-Hispanic white, non-Hispanic black, Hispanic, other/unknown) person-year distribution of the entire VACS as the standard weights, with age and calendar period classified at each day of observation [35]. We calculated observation time for each subject from 180 days after VACS entry date to the earliest of: diagnosis date for the specific cancer group or type being analyzed, death date, loss to follow-up date (last VA visit plus 180 days), or September 30, 2012. We excluded the first 180 days of observation time to remove prevalent cancer cases.
To calculate the IR p-trend across calendar periods, we used the Cochran-Armitage test of trend in counts to calculate the one degree-of freedom total chi-square statistic and p-value [36], taking the standardization into account. For the IRR p-trend across calendar periods, we calculated the one degree-of freedom Mantel-Haenszel chi-square statistic and p-value [37, 38].
We performed statistical analyses using SAS version 9.4 [39]. We defined statistical significance as p<0.05 (two-sided).
RESULTS
Between 1997 and 2012, among the 44,787 HIV+ persons who contributed 329,084 person-years of observation time to this analysis, 3,519 persons developed 3,714 incident primary cancers. Among 96,852 uninfected persons who contributed 820,676 person-years, 5,434 persons developed 5,760 incident primary cancers. HIV+ and uninfected persons had similar distributions of age, sex, race/ethnicity, alcohol abuse/dependence, and smoking status (Table 1). The mean age at cohort entry was 48 years. Both groups were mostly male and approximately half non-Hispanic black. Hepatitis C virus (HCV) and hepatitis B virus (HBV) infections were more prevalent among HIV+ persons (21% HCV chronic, 3% HBV+) than uninfected persons (10% HCV chronic, 0.3% HBV+). Of total observation time, 16% was in 1997–2000, 25% in 2001–2004, and 30% each in 2005–2008 and 2009–2012.
Table 1.
HIV+ | Uninfected | |||
---|---|---|---|---|
(N=44,787) | (N=96,852) | |||
N | % | N | % | |
Age at enrollment years | ||||
20–29 | 1,973 | 4 | 4,077 | 4 |
30–39 | 8,210 | 18 | 17,138 | 18 |
40–49 | 17,574 | 39 | 37,157 | 38 |
50–59 | 11,632 | 26 | 25,929 | 27 |
60–69 | 4,174 | 9 | 9,580 | 10 |
≥70 | 1,224 | 3 | 2,971 | 3 |
Sex | ||||
Female | 1,119 | 2 | 2,583 | 3 |
Male | 43,668 | 98 | 94,269 | 97 |
Race/ethnicity | ||||
Non-Hispanic white | 17,311 | 39 | 38,138 | 39 |
Non-Hispanic black | 21,888 | 49 | 45,676 | 47 |
Hispanic | 3,191 | 7 | 7,418 | 8 |
Other/unknown | 2,397 | 5 | 5,620 | 6 |
Alcohol abuse/dependence | ||||
No | 29,487 | 66 | 65,117 | 67 |
Yes | 15,300 | 34 | 31,735 | 33 |
Smoking status | ||||
Never | 9,856 | 22 | 24,919 | 26 |
Ever | 27,395 | 61 | 59,647 | 62 |
Unknown | 7,536 | 17 | 12,286 | 13 |
Hepatitis C virus statusa | ||||
HCV negative | 24,166 | 54 | 51,628 | 53 |
Chronic HCV | 9,423 | 21 | 9,694 | 10 |
HCV exposure | 3,453 | 8 | 3,967 | 4 |
Never tested/unknown | 7,745 | 17 | 31,563 | 33 |
Hepatitis B virus statusb | ||||
HBV negative | 31,317 | 70 | 41,279 | 43 |
HBV positive | 1,181 | 3 | 282 | 0.3 |
HBV acute resolved | 428 | 1 | 153 | 0.2 |
Unconfirmed HBV | 570 | 1 | 177 | 0.2 |
Never tested/unknown | 11,291 | 25 | 54,961 | 57 |
Definitions: HCV negative, negative HCV antibody test result(s) only; Chronic HCV, positive HCV RNA test; HCV exposure, positive HCV antibody test, but negative or unknown HCV RNA test; Never tested/unknown, no HCV laboratory test results available.
Definitions: HBV negative, negative HBV surface antigen test result(s) only; HBV positive, at least two positive HBV surface antigen tests over 6 months apart; HBV acute resolved, positive HBV surface antigen test followed by only negative test results; Unconfirmed HBV, one positive HBV surface antigen test not confirmed with additional testing; Never tested/unknown, no HBV laboratory test results available.
All cancer
Although the all cancer crude IR increased over the four periods in the HIV+ (p-trend=0.0019, Figure 1), once age-, sex-, and race/ethnicity-standardized, the IR declined significantly (p-trend<0.0001). In the uninfected, the increase in the crude all cancer IR (p-trend<0.0001) was more pronounced than in HIV+, but there was no significant trend in the standardized IR (p-trend=0.074). With decreasing HIV+ IRs and stable uninfected IRs, the IRR declined (p-trend<0.0001, Figure 2), but remained elevated during the most recent calendar period (IRR=1.6; 95% CI: 1.5–1.7; Table 2).
Table 2.
Cancer group/ type |
HIV | 1997–2000 | 2001–2004 | 2005–2008 | 2009–2012 | IR p-trend |
IRR p-trend |
||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
# ca | IR | IRR | 95% CI | # ca | IR | IRR | 95% CI | # ca | IR | IRR | 95% CI | # ca | IR | IRR | 95% CI | ||||
All cancer | |||||||||||||||||||
Groupeda | + | 561 | 1,354 | 2.0 | 1.7–2.4 | 855 | 1,274 | 1.8 | 1.7–2.0 | 1,061 | 1,177 | 1.7 | 1.5–1.8 | 1,042 | 1,013 | 1.6 | 1.5–1.7 | <0.0001 | <0.0001 |
− | 516 | 664 | 1,137 | 692 | 1,827 | 712 | 1,954 | 636 | 0.074 | ||||||||||
ADC | |||||||||||||||||||
Groupeda | + | 174 | 288 | 19 | 11–35 | 183 | 210 | 16 | 10–25 | 177 | 188 | 8.8 | 6.1–13 | 117 | 129 | 5.5 | 3.7–8.4 | <0.0001 | <0.0001 |
− | 14 | 15 | 24 | 13 | 56 | 21 | 71 | 23 | 0.014 | ||||||||||
Non-Hodgkin lymphoma |
+ | 94 | 173 | 12 | 5.8–24 | 113 | 134 | 10 | 6.1–17 | 105 | 110 | 5.1 | 3.4–7.7 | 77 | 82 | 3.6 | 2.3–5.5 | <0.0001 | <0.0001 |
− | 14 | 15 | 24 | 13 | 56 | 21 | 70 | 23 | 0.021 | ||||||||||
Kaposi sarcoma |
+ | 82 | 117 | - | 72 | 78 | - | 74 | 79 | - | 40 | 47 | - | <0.0001 | ‡c | ||||
− | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ‡ | ||||||||||
NADC | |||||||||||||||||||
Groupeda | + | 380 | 1,039 | 1.6 | 1.4–1.9 | 671 | 1,050 | 1.6 | 1.4–1.7 | 885 | 979 | 1.4 | 1.3–1.6 | 929 | 878 | 1.4 | 1.3–1.6 | 0.0003 | 0.078 |
− | 494 | 639 | 1,107 | 675 | 1,755 | 684 | 1,867 | 607 | 0.028 | ||||||||||
Virus-NADC | |||||||||||||||||||
Groupeda | + | 92 | 212 | 4.9 | 2.9–8.4 | 142 | 193 | 4.1 | 2.9–5.7 | 211 | 222 | 3.7 | 2.9–4.8 | 227 | 219 | 3.5 | 2.7–4.5 | 0.43 | 0.071 |
− | 36 | 43 | 89 | 48 | 162 | 60 | 202 | 62 | 0.0082 | ||||||||||
HPV-related oral cavity and pharynx SCC |
+ | 7 | 18 | 0.61 | 0.24–1.5 | 17 | 26 | 1.3 | 0.67–2.4 | 21 | 21 | 1.2 | 0.69–2.0 | 29 | 27 | 1.7 | 1.0–2.9 | 0.43 | 0.048 |
− | 22 | 29 | 37 | 20 | 49 | 18 | 49 | 16 | 0.023 | ||||||||||
Anal SCC | + | 29 | 67 | 94 | 12–717 | 60 | 73 | 26 | 10–66 | 69 | 72 | 33 | 14–77 | 76 | 76 | 77 | 28–218 | 0.61 | 0.16 |
− | 1 | 1 | 5 | 3 | 6 | 2 | 4 | 1 | 0.61 | ||||||||||
Liver HCC | + | 26 | 63 | 9.8 | 2.9–33 | 43 | 64 | 3.3 | 1.8–5.9 | 91 | 95 | 2.7 | 1.9–3.9 | 101 | 87 | 2.1 | 1.5–2.8 | 0.043 | 0.0002 |
− | 8 | 6 | 36 | 19 | 96 | 35 | 142 | 42 | <0.0001 | ||||||||||
Penis SCCb | + | 3 | 7 | 3.3 | 0.20–54 | 3 | 5 | 4.9 | 0.42–57 | 5 | 5 | 4.1 | 0.73–23 | 3 | 3 | 5.8 | 0.46–73 | 0.22 | ‡ |
− | 1 | 2 | 2 | 1 | 3 | 1 | 1 | 0 | ‡ | ||||||||||
Hodgkin lymphoma |
+ | 27 | 55 | 12 | 2.9–51 | 22 | 28 | 6.5 | 2.4–18 | 27 | 29 | 8.7 | 3.4–23 | 23 | 29 | 9.3 | 3.1–28 | 0.047 | 0.79 |
− | 4 | 5 | 9 | 4 | 8 | 3 | 6 | 3 | 0.46 | ||||||||||
Non-virus-NADC | |||||||||||||||||||
Groupeda | + | 290 | 825 | 1.4 | 1.1–1.6 | 538 | 862 | 1.4 | 1.2–1.5 | 692 | 767 | 1.2 | 1.1–1.4 | 721 | 661 | 1.2 | 1.1–1.3 | <0.0001 | 0.049 |
− | 465 | 605 | 1,031 | 633 | 1,603 | 625 | 1,688 | 548 | 0.0011 | ||||||||||
Non-lung, non-virus NADC, groupeda |
+ | 199 | 586 | 1.2 | 0.99–1.5 | 387 | 617 | 1.2 | 1.0–1.4 | 515 | 570 | 1.1 | 1.0–1.2 | 535 | 488 | 1.1 | 0.97–1.2 | 0.0011 | 0.12 |
− | 368 | 479 | 843 | 515 | 1,315 | 511 | 1,384 | 452 | 0.022 | ||||||||||
Non-HPV- related oral cavity and pharynx SCC |
+ | 15 | 40 | 1.4 | 0.65–3.2 | 27 | 34 | 1.3 | 0.75–2.1 | 32 | 33 | 1.8 | 1.1–2.9 | 26 | 24 | 1.4 | 0.80–2.3 | 0.10 | 0.86 |
− | 26 | 28 | 49 | 27 | 50 | 19 | 53 | 18 | 0.013 | ||||||||||
Oral cavity and pharynx non- SCC |
+ | 1 | 1 | 0.58 | .069–4.9 | 1 | 1 | 0.18 | .035–0.97 | 3 | 3 | 0.90 | 0.25–3.2 | 2 | 2 | 0.74 | 0.17–3.2 | ‡ | ‡ |
− | 3 | 2 | 8 | 5 | 9 | 3 | 8 | 3 | 0.67 | ||||||||||
Esophagus | + | 3 | 13 | 0.75 | 0.20–2.7 | 10 | 14 | 0.86 | 0.40–1.8 | 14 | 15 | 0.92 | 0.51–1.7 | 15 | 12 | 0.81 | 0.46–1.4 | 0.71 | 1.00 |
− | 11 | 17 | 29 | 17 | 46 | 17 | 47 | 15 | 0.52 | ||||||||||
Stomach | + | 4 | 17 | 3.0 | 0.36–24 | 7 | 10 | 0.96 | 0.38–2.4 | 9 | 10 | 0.79 | 0.39–1.6 | 14 | 11 | 1.1 | 0.58–2.3 | 0.73 | 0.51 |
− | 7 | 6 | 18 | 11 | 33 | 13 | 30 | 10 | 0.36 | ||||||||||
Small Intestine | + | 1 | 8 | 4.8 | .095–239 | 0 | 0 | 0 | – | 0 | 0 | 0 | – | 4 | 4 | 2.3 | 0.42–13 | ‡ | ‡ |
− | 2 | 2 | 7 | 4 | 8 | 3 | 6 | 2 | 0.58 | ||||||||||
Colorectal | + | 17 | 44 | 0.95 | 0.47–1.9 | 41 | 63 | 1.2 | 0.81–1.8 | 57 | 62 | 1.1 | 0.79–1.5 | 39 | 36 | 0.94 | 0.65–1.4 | 0.15 | 0.63 |
− | 36 | 46 | 91 | 52 | 154 | 57 | 122 | 38 | 0.079 | ||||||||||
Liver non-HCC | + | 4 | 12 | 4.0 | 0.48–34 | 1 | 2 | 0.67 | .098–4.6 | 5 | 6 | 3.9 | 0.73–21 | 4 | 4 | 3.4 | 0.56–21 | 0.24 | 0.81 |
− | 2 | 3 | 5 | 3 | 4 | 1 | 3 | 1 | 0.14 | ||||||||||
Biliary tract | + | 0 | 0 | 0 | – | 2 | 2 | 1.5 | 0.22–11 | 5 | 5 | 3.5 | 0.69–18 | 4 | 4 | 0.93 | 0.31–2.8 | ‡ | ‡ |
− | 1 | 1 | 3 | 1 | 4 | 2 | 14 | 4 | 0.0068 | ||||||||||
Pancreas | + | 4 | 10 | 1.5 | 0.32–7.3 | 6 | 8 | 0.77 | 0.31–1.9 | 18 | 19 | 1.3 | 0.70–2.3 | 24 | 21 | 1.3 | 0.75–2.2 | 0.031 | 0.71 |
- | 8 | 7 | 19 | 11 | 42 | 15 | 54 | 16 | 0.0069 | ||||||||||
Nasal cavity, middle ear, and sinus |
+ | 5 | 7 | - | – | 1 | 1 | 0.56 | .080–4.0 | 2 | 2 | 2.0 | 0.25–16 | 4 | 3 | 9.8 | 0.76–127 | 0.29 | ‡ |
− | 0 | 0 | 4 | 2 | 3 | 1 | 1 | 0 | ‡ | ||||||||||
Larynx | + | 15 | 35 | 1.4 | 0.61–3.0 | 24 | 39 | 1.7 | 0.95–3.2 | 23 | 25 | 1.3 | 0.74–2.1 | 18 | 14 | 1.3 | 0.71–2.5 | 0.0013 | 0.68 |
− | 20 | 26 | 43 | 22 | 53 | 20 | 37 | 11 | 0.0002 | ||||||||||
Lung and bronchus |
+ | 92 | 240 | 1.9 | 1.3–2.7 | 155 | 246 | 2.0 | 1.5–2.5 | 190 | 202 | 1.7 | 1.4–2.0 | 200 | 175 | 1.8 | 1.5–2.2 | 0.0008 | 0.52 |
− | 100 | 129 | 205 | 125 | 324 | 122 | 333 | 98 | 0.0017 | ||||||||||
Soft tissue | + | 2 | 7 | 2.6 | 0.21–31 | 6 | 7 | 7.9 | 1.1–55 | 5 | 5 | 2.2 | 0.57–8.8 | 5 | 5 | 1.3 | 0.38–4.3 | 0.66 | 0.15 |
− | 4 | 3 | 2 | 1 | 7 | 2 | 11 | 4 | 0.12 | ||||||||||
Melanoma skin |
+ | 9 | 15 | 1.3 | 0.43–3.7 | 16 | 20 | 2.9 | 1.2–7.0 | 22 | 23 | 2.1 | 1.1–3.9 | 12 | 11 | 0.97 | 0.49–1.9 | 0.41 | 0.28 |
− | 10 | 12 | 13 | 7 | 30 | 11 | 35 | 11 | 0.54 | ||||||||||
Male breastb | + | 2 | 9 | 3.5 | 0.23–54 | 1 | 1 | 0.50 | .071–3.5 | 0 | 0 | 0 | – | 1 | 1 | 0.45 | .072–2.8 | ‡ | ‡ |
− | 1 | 2 | 4 | 2 | 3 | 1 | 5 | 1 | 0.42 | ||||||||||
Female breastb | + | 0 | 0 | 0 | – | 3 | 326 | 2.6 | 0.30–23 | 3 | 105 | 0.86 | 0.24–3.2 | 2 | 78 | 0.86 | 0.19–3.8 | ‡ | ‡ |
− | 2 | 264 | 4 | 125 | 8 | 121 | 8 | 91 | 0.24 | ||||||||||
Prostateb | + | 55 | 206 | 0.91 | 0.65–1.3 | 142 | 265 | 1.1 | 0.87–1.3 | 204 | 233 | 0.93 | 0.80–1.1 | 263 | 232 | 1.0 | 0.89–1.2 | 0.89 | 0.77 |
− | 146 | 227 | 374 | 247 | 635 | 250 | 715 | 226 | 0.37 | ||||||||||
Testisb | + | 0 | 0 | 0 | – | 3 | 3 | 1.3 | 0.29–5.9 | 3 | 4 | 1.2 | 0.28–5.0 | 2 | 2 | 1.8 | 0.21–16 | ‡ | ‡ |
− | 3 | 1 | 5 | 2 | 6 | 3 | 2 | 1 | 0.71 | ||||||||||
Bladder | + | 7 | 17 | 0.49 | 0.21–1.1 | 17 | 27 | 1.4 | 0.70–2.6 | 13 | 13 | 1.0 | 0.53–1.9 | 25 | 22 | 1.6 | 0.90–2.8 | 0.92 | 0.040 |
− | 28 | 34 | 30 | 20 | 36 | 13 | 49 | 14 | 0.0003 | ||||||||||
Kidney | + | 12 | 32 | 2.3 | 0.79–6.5 | 22 | 31 | 1.2 | 0.67–2.0 | 31 | 31 | 0.89 | 0.60–1.3 | 31 | 30 | 0.94 | 0.62–1.4 | 0.84 | 0.075 |
− | 18 | 14 | 48 | 27 | 94 | 35 | 92 | 32 | 0.0028 | ||||||||||
Brain and nervous system |
+ | 4 | 6 | 2.0 | 0.38–11 | 0 | 0 | 0 | – | 4 | 4 | 1.0 | 0.31–3.2 | 1 | 1 | 0.39 | .077–2.0 | ‡ | ‡ |
− | 3 | 3 | 8 | 5 | 10 | 4 | 8 | 2 | 0.36 | ||||||||||
Thyroid | + | 1 | 1 | 0.31 | .029–3.4 | 3 | 4 | 0.68 | 0.20–2.3 | 5 | 5 | 0.56 | 0.24–1.3 | 7 | 8 | 0.71 | 0.32–1.6 | 0.013 | 0.65 |
− | 3 | 3 | 12 | 6 | 22 | 9 | 27 | 12 | 0.0032 | ||||||||||
Other lymphatic and hematopoietic tissue |
+ | 4 | 8 | 2.2 | 0.28–17 | 9 | 15 | 2.3 | 0.73–7.3 | 14 | 15 | 1.9 | 0.87–4.3 | 7 | 8 | 1.2 | 0.47–3.1 | 0.73 | 0.28 |
− | 4 | 4 | 11 | 6 | 18 | 8 | 23 | 7 | 0.46 | ||||||||||
Myeloma | + | 8 | 20 | 2.5 | 0.67–9.6 | 5 | 8 | 0.71 | 0.26–1.9 | 11 | 12 | 1.0 | 0.52–2.1 | 8 | 7 | 0.73 | 0.34–1.6 | 0.074 | 0.12 |
− | 8 | 8 | 18 | 12 | 30 | 11 | 27 | 10 | 0.96 | ||||||||||
Leukemia | + | 9 | 28 | 2.1 | 0.65–6.9 | 10 | 16 | 1.0 | 0.48–2.3 | 17 | 18 | 1.5 | 0.79–2.9 | 14 | 14 | 1.8 | 0.80–4.0 | 0.18 | 0.85 |
− | 11 | 13 | 25 | 15 | 31 | 12 | 21 | 8 | 0.037 | ||||||||||
Other | + | 15 | 39 | 1.7 | 0.76–4.0 | 24 | 32 | 2.4 | 1.2–4.7 | 26 | 27 | 2.6 | 1.4–4.9 | 15 | 13 | 1.2 | 0.59–2.3 | 0.0010 | 0.40 |
− | 17 | 23 | 27 | 13 | 29 | 11 | 32 | 11 | 0.032 | ||||||||||
Poorly specified | |||||||||||||||||||
Groupeda | + | 11 | 31 | 3.0 | 0.83–11 | 15 | 20 | 3.2 | 1.3–8.4 | 13 | 14 | 1.7 | 0.78–3.6 | 9 | 8 | 1.0 | 0.48–2.3 | 0.0009 | 0.020 |
− | 8 | 10 | 11 | 6 | 22 | 8 | 28 | 8 | 0.82 |
ADC, AIDS-defining cancer; ca, cancer; HCC, hepatocellular carcinoma; IR, standardized incidence rate; IRR, standardized incidence rate ratio; KS, Kaposi sarcoma; NADC, non-AIDS-defining cancer; NHL, non-Hodgkin lymphoma; Non-virus-NADC, non-virus-related non-AIDS defining cancer; SCC, squamous cell carcinoma; Virus-NADC, virus-related non-AIDS defining cancer; 95% CI, 95% confidence interval.
For cancer group analyses, the endpoint for a given subject was the first diagnosis of a cancer type classified in the group.
We used sex-specific weights to calculate penis SCC and male breast, female breast, prostate, and testicular cancer IRs.
denotes cancer types with less than 12 cases in HIV+ or uninfected over the entire study period (p-trend not calculated).The following cancer types had less than 12 HIV+ cases and less than 12 uninfected cases over the entire study period and were not included in the table: invasive cervical (1 HIV+, 1 uninfected); vulva SCC (1 HIV+); anal non-SCC (4 HIV+, 3 uninfected); retroperitoneum and peritoneum, non-mesothelioma (1 HIV+, 3 uninfected); other digestive organ (3 HIV+, 1 uninfected); pleura, non-mesothelioma (1 HIV+, 0 uninfected); trachea, mediastinum, and other respiratory organ (0 HIV+, 1 uninfected); bone and joint (1 HIV+, 1 uninfected); non-epithelial skin (11 HIV+, 7 uninfected); uterus or corpus (0 HIV+, 3 uninfected); ovary (0 HIV+, 2 uninfected); other male genital organ (3 HIV+, 1 uninfected); other urinary organ (5 HIV+, 9 uninfected); eye and orbit (3 HIV+, 4 uninfected); other endocrine organ including thymus (1 HIV+, 7 uninfected); and mesothelioma (4 HIV+, 7 uninfected). The following cancer types had no HIV+ cases and no uninfected cases: vagina SCC; vagina non-SCC; vulva non-SCC; other female genital organ; and penis non-SCC.
AIDS-defining cancers
Among HIV+, the proportion of cancer cases that were ADC decreased from 31% in 1997–2000 to 11% in 2009–2012 (Figure 3). The ADC IR decreased in the HIV+ across the four periods (p-trend<0.0001; Table 2). In the uninfected, the IR increased modestly (p-trend=0.014), driven by the increase in the NHL IR (Table 2). Resultant IRRs decreased significantly across periods (p-trend<0.0001; Figure 2), but remained elevated in the most recent period (IRR=5.5; 95% CI: 3.7–8.4). In the HIV+, both the NHL and KS IR declined by more than one-half between 1997–2000 and 2009–2012 (both p-trends<0.0001). In the uninfected, the NHL IR increased across periods (p-trend=0.021), and there were no KS cases. The NHL IRR dropped from 12 (95% CI: 5.8–24) in 1997–2000 to 3.6 (95% CI: 2.3–5.5) in 2009–2012 (p-trend<0.0001). Due to the small proportion of females (3%), invasive cervical cancer did not meaningfully contribute to the ADC time trends.
Virus-related non-AIDS-defining cancers
Among HIV+, the proportion of cancer cases that were virus-NADC increased from 16% in 1997–2000 to 21% in 2009–2012 (Figure 3). In the latter period, 44% of virus-NADC were hepatocellular carcinoma (HCC) and 33% were anal squamous cell carcinoma (SCC). The virus-NADC IR was stable for HIV+ (p-trend=0.43, Table 2) but increased significantly for uninfected (p-trend=0.0082), driven by an increasing HCC IR trend. Consequently, the virus-NADC IRR decreased across the four periods with a borderline significant trend (p-trend=0.071; Figure 2), but remained elevated during the most recent period (IRR=3.5; 95% CI: 2.7–4.5; Table 2). The HCC IR increased in HIV+ (p-trend=0.043), but moreso in uninfected (p-trend<0.0001), resulting in an IRR decrease from 9.8 (95% CI: 2.9–33) in 1997–2000 to 2.1 (95% CI: 1.5–2.8) in 2009–2012 (p-trend=0.0002). The human papillomavirus (HPV)-related oral cavity and pharynx SCC IR did not change significantly for HIV+ (p-trend=0.43), but decreased in the uninfected (p-trend=0.023), resulting in an increasing IRR trend (p-trend=0.048). We observed no trend in the anal SCC IR or IRR. In HIV+ between 1997–2000 and 2001–2004, the Hodgkin lymphoma IR fell from 55 to 28 cases per 100,000 person-years and then stabilized (p-trend=0.047), with no IRR trend (p-trend=0.79). For each mentioned virus-NADC, we found a significantly elevated IRR in the most recent calendar period.
Non-virus-related non-AIDS-defining cancers
Among HIV+, the proportion of cancer cases that were non-virus-NADC increased from 51% in 1997–2000 to 68% in 2009–2012 (Figure 3). Thus, the majority of incident cancer cases were non-virus-NADC, which includes common cancer types such as colorectal, lung, and prostate. During 2009–2012, 27% of non-virus-NADC were lung cancers and 35% were prostate cancers. We observed a decreasing trend for the HIV+ IR (p-trend<0.0001; Table 2), uninfected IR (p-trend=0.0011), and IRR (p=0.049; Figure 2), but the IRR remained slightly elevated during the most recent period (IRR=1.2; 95% CI: 1.1–1.3). The lung cancer IR decreased significantly in both HIV+ (p-trend=0.0008) and uninfected (p-trend=0.0017), with the IRR significantly elevated between 1.7 and 2.0 over the four periods (p-trend=0.52). Lung cancer was the only non-virus-NADC type with consistently elevated IRRs across periods. After removing lung cancer from the non-virus-NADC group, the IRR trend was no longer significant (p-trend=0.12) and the IRR moved toward the null and was only marginally or borderline significant in each calendar period.
DISCUSSION
We utilized the largest HIV cohort in North America to conduct one of the few comprehensive assessments of cancer incidence time trends among HIV+ versus uninfected patients during the ART era. We observed a growing cancer burden among HIV+, evidenced by an increasing crude IR trend. However, after taking age, sex, and race/ethnicity into account, we observed highly significant HIV+ IR declines for all cancer (25% decline between 1997–2000 and 2009–2012), ADC (55% decline), NADC (15% decline), and non-virus-NADC (20% decline); highly significant IRR declines for all cancer (from 2.0 to 1.6) and ADC (from 19 to 5.5); and marginally or borderline significant IRR declines for NADC (from 1.6 to 1.4), virus-NADC (from 4.9 to 3.5), and non-virus-NADC (from 1.4 to 1.2). While these declines were encouraging, it is important to note that the all cancer IR was still 60% higher in HIV+ compared with uninfected in 2009–2012, driven mainly by ADC, virus-NADC, and within the non-virus-NADC group, lung cancer (IRR=1.8).
We found that the continuing decline in the HIV+ ADC IR and the ADC IRR during the ART era that also has been observed by others [9, 11, 17, 18, 20, 23, 24] has extended through 2012 both for ADC overall and for KS and NHL, the main ADC components in our predominantly male cohort. The significant HIV+ NADC IR decline that we observed during the ART era was not observed by others [11, 22], perhaps due to shorter calendar times of observation or fewer cancer diagnoses resulting in less statistical power. However, the NADC IRR decline that we observed, which took into account the decline in the uninfected NADC IR that also occurred during the observation period, was only borderline significant, similar to the Kaiser Permanente California result [23].
We found no evidence for a trend in the HIV+ virus-NADC IR, consistent with findings from the HIV Outpatient Study [24], but inconsistent with a study from northern Italy, which observed an increasing trend (but with no reported p-trend) [20] and with the Kaiser study, which observed a significant decreasing trend [23]. However, the borderline significant decreasing trend that we observed in the virus-NADC IRR, which took into account the increasing uninfected virus-NADC IR trend (driven by the increasing HCC IR trend), was consistent with the significant decreasing IRR trend observed in the Kaiser study [23]. In the VACS cohort, HCC accounted for almost 40% of virus-NADC among HIV+ and almost 60% of virus-NADC among uninfected persons. HCC may be less common in other populations, accounting for differences in virus-NADC trends.
The significant decreasing trend we observed in the HIV+ non-virus-NADC IR was consistent with findings from the HIV Outpatient Study [24], but inconsistent with results from northern Italy, where a borderline significant increasing trend was observed [25] and from Kaiser, where no trend was observed, either in the HIV+ IR or in the IRR [23]. The decreasing non-virus-NADC IRR trend that we observed, which took the decreasing uninfected non-virus-NADC IR trend into account, was only marginally significant. Furthermore, removal of lung cancer, the only non-virus-NADC with an elevated IRR in each of the four periods, resulted in a nonsignificant IRR trend with marginally or borderline significant period-specific IRRs of only 1.1 to 1.2. This reflected the fact that most of the common epithelial cancer types, including colorectal and prostate, did not exhibit elevated incidence in HIV+ patients, consistent with the literature [27, 28]. We observed no trend in the prostate cancer IR in either HIV+ or uninfected persons, with the IRR consistently null across the four periods. These results suggested stable prostate specific antigen screening rates during 1996–2012, with similar screening rates in HIV+ and uninfected persons.
With respect to specific NADC types, the decreasing HIV+ IR trends for lung cancer and Hodgkin lymphoma and the increasing trend for HCC were consistent with previous reports [17–19]. However, we observed no trend in the lung cancer IRR, which took into account the decreasing uninfected lung cancer IR trend. This result was inconsistent with studies that observed a decreasing lung cancer IRR (or SIR) trend [18, 19, 23]. Furthermore, we observed a decreasing HCC IRR trend, which was driven by the steeply increasing uninfected HCC IR trend. Other studies have observed no HCC IRR (or SIR) trend [18, 19, 23]. We observed no trend in the HIV+ anal cancer IR or in the IRR; trends observed in other studies have been inconsistent [16–19, 22, 23, 26].
In general, time trends in cancer incidence are determined by secular trends in the prevalence of cancer risk factors. The decreasing lung cancer and increasing HCC IR trends in both HIV+ and uninfected were consistent with secular trends in the United States general population [40], driven by decreasing smoking prevalence [41] and increasing duration of chronic HCV infection [42], respectively.
Among HIV+ persons, the prevalence of traditional cancer risk factors, particularly smoking and oncogenic virus infections, is elevated [43], although prevalence time trends have not been well-characterized. Furthermore, impaired immune function and inflammation resulting from HIV infection itself are associated with appreciable cancer risk [27, 44]. The strong inverse association between CD4 count and ADC risk is well-established, and evidence has accumulated in favor of a weaker, more subtle inverse association between CD4 count and risk for virus-NADC and possibly some non-virus-NADC [27, 44]. Thus, the decreasing ADC trends were probably driven by improvements in HIV care since the introduction of ART, including higher CD4 count at diagnosis [45], earlier post-diagnosis initiation of ART [46], improved ART regimens [47, 48], increased ART adherence [49], and increased virological suppression [49, 50]. These HIV care trends likely contributed to the decreasing NADC trends as well.
We found that among HIV+ persons the shift in cancer burden from ADC to NADC (especially non-virus-NADC) has continued (Figure 3). By 2009–2012, only 11% of HIV+ cancer cases were ADC, and four of the five most commonly diagnosed cancer types (prostate, lung, HCC, NHL, and anal SCC) were NADC, although prostate cancer did not exhibit elevated incidence among HIV+ persons.
Our results have implications for cancer prevention among HIV+ persons. First, given the continued elevated ADC and NADC IRRs and the association between impaired immune function and increased ADC and, to a lesser extent, NADC risk, it is likely that even further improvements in HIV care would result in further declines in cancer incidence, especially for NHL, now the most common ADC.
Second, lung, liver, anal, and prostate cancers represent targets for prevention due to their high incidence. Prevention research efforts in the setting of HIV infection should include smoking cessation [51, 52]; validation and optimization of computed tomography screening for lung cancer [53, 54], ultrasonography screening for HCC [55], and anal dysplasia screening for anal cancer [56]; optimization of HBV vaccination for HCC [57, 58] and HPV vaccination for HPV-related cancers [59–63]; and optimization of HCV [64, 65], HBV [57, 66], and alcohol abuse/dependence treatment [67, 68] for HCC. Prostate specific antigen screening for prostate cancer is controversial [69].
Our study had limitations. First, due to the paucity of females in VACS, we were unable to assess female cancer type time trends or to generalize our results to females. Second, VACCR does not capture 10–20% of cancer cases, in part due to utilization of healthcare outside the VA system [29, 31], resulting in underestimation of IRs. However, in a validation study we determined that IRRs are either unbiased or possibly biased downward [29], meaning that the “true” IRRs would be at least as high as the IRRs we observed. The elevated IRRs we observed were generally consistent with the literature [27, 28].
Our study also had strengths. First, VACS is the largest HIV cohort in North America and one of the few to include a demographically-similar uninfected comparison group, which is superior to a general population comparison group for identifying HIV-specific effects. Second, although cancer case ascertainment was incomplete, the positive predictive value of VACCR diagnoses is high [29]. Finally, our study extended from the start of the ART era through 2012, the most extensive cancer time trends study performed to date.
In summary, after adjusting for demographic factors, we observed a generalized decline in both absolute and relative cancer incidence among HIV+ persons during the ART era. HIV+ IRs declined for all cancer groups except virus-NADC, and IRRs declined for all cancer groups, although IRR trends for NADC, virus-NADC and non-virus-NADC were only marginally or borderline significant. In spite of these declines, the all cancer IR remained 60% higher in HIV+ compared with uninfected in 2009–2012, driven mainly by elevated IRRs for ADC, virus-NADC, and lung cancer. Improved HIV care most likely contributed to the declines, and we could anticipate that further adoption of early and sustained ART combined with ongoing ART regimen enhancements will produce additional declines in cancer incidence. Research and clinical practice efforts to reduce cancer risk factor prevalence and to promote evidence-based screening could also contribute to future cancer incidence declines among HIV+ persons.
Supplementary Material
Acknowledgments
We are grateful to the Veterans Affairs Central Cancer Registry (VACCR) for linking the VACS with the VACCR database and providing us with a dataset containing the linked records. This study would not have been possible without the VACCR’s generous assistance.
Sources of funding: This research was supported by the US Veterans Health Administration and by grants from the National Institute on Alcohol Abuse and Alcoholism (U01-AA020790, U24-AA020794, U10-AA013566), National Institute of Mental Health (T32-MH020031, P30-MH062294), National Institute of Allergy and Infectious Diseases (U01-A1069918), National Cancer Institute (F31-CA180775, R01-CA165937, R01-CA173754), and National Institute of Diabetes and Digestive and Kidney Diseases (3T32-DK007217) of the National Institutes of Health.
Footnotes
Disclaimers: None to report
Author contributions: LSP, JPT, ACJ, and RD designed the study. LSP and RD wrote the initial drafts of the manuscript. LSP performed the analyses with supervision from JPT, ACJ, and RD. All authors contributed to the overall intellectual content of the manuscript, read and edited subsequent drafts, and approved the final version.
Disclaimers: The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health or the Department of Veterans Affairs.
List of Supplemental Digital Content
Supplemental Table S1.docx
References
- 1.Morlat P, Roussillon C, Henard S, Salmon D, Bonnet F, Cacoub P, et al. Causes of death among HIV-infected patients in France in 2010 (national survey): trends since 2000. AIDS. 2014;28:1181–1191. doi: 10.1097/QAD.0000000000000222. [DOI] [PubMed] [Google Scholar]
- 2.Smith CJ, Ryom L, Weber R, Morlat P, Pradier C, Reiss P, et al. Trends in underlying causes of death in people with HIV from 1999 to 2011 (D:A:D): a multicohort collaboration. Lancet. 2014;384:241–248. doi: 10.1016/S0140-6736(14)60604-8. [DOI] [PubMed] [Google Scholar]
- 3.Weber R, Ruppik M, Rickenbach M, Spoerri A, Furrer H, Battegay M, et al. Decreasing mortality and changing patterns of causes of death in the Swiss HIV Cohort Study. HIV Med. 2013;14:195–207. doi: 10.1111/j.1468-1293.2012.01051.x. [DOI] [PubMed] [Google Scholar]
- 4.Antiretroviral Therapy Cohort Collaboration. Causes of death in HIV-1-infected patients treated with antiretroviral therapy, 1996–2006: collaborative analysis of 13 HIV cohort studies. Clin Infect Dis. 2010;50:1387–1396. doi: 10.1086/652283. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.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;103:753–762. doi: 10.1093/jnci/djr076. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.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;23:41–50. doi: 10.1097/QAD.0b013e328317cc2d. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Seaberg EC, Wiley D, Martinez-Maza O, Chmiel JS, Kingsley L, Tang Y, et al. Cancer incidence in the Multicenter AIDS Cohort Study before and during the HAART era: 1984 to 2007. Cancer. 2010;116:5507–5516. doi: 10.1002/cncr.25530. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Bedimo R, Chen RY, Accortt NA, Raper JL, Linn C, Allison JJ, et al. Trends in AIDS-defining and non-AIDS-defining malignancies among HIV-infected patients: 1989–2002. Clin Infect Dis. 2004;39:1380–1384. doi: 10.1086/424883. [DOI] [PubMed] [Google Scholar]
- 9.Hleyhel M, Belot A, Bouvier AM, Tattevin P, Pacanowski J, Genet P, et al. Risk of AIDS-defining cancers among HIV-1-infected patients in France between 1992 and 2009: results from the FHDH-ANRS CO4 cohort. Clin Infect Dis. 2013;57:1638–1647. doi: 10.1093/cid/cit497. [DOI] [PubMed] [Google Scholar]
- 10.Buchacz K, Baker RK, Palella FJ, Jr, Chmiel JS, Lichtenstein KA, Novak RM, et al. AIDS-defining opportunistic illnesses in US patients, 1994–2007: a cohort study. AIDS. 2010;24:1549–1559. doi: 10.1097/QAD.0b013e32833a3967. [DOI] [PubMed] [Google Scholar]
- 11.Franceschi S, Lise M, Clifford GM, Rickenbach M, Levi F, Maspoli M, et al. Changing patterns of cancer incidence in the early- and late-HAART periods: the Swiss HIV Cohort Study. Br J Cancer. 2010;103:416–422. doi: 10.1038/sj.bjc.6605756. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Simard EP, Pfeiffer RM, Engels EA. Spectrum of cancer risk late after AIDS onset in the United States. Arch Intern Med. 2010;170:1337–1345. doi: 10.1001/archinternmed.2010.253. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Raffetti E, Albini L, Gotti D, Segala D, Maggiolo F, di Filippo E, et al. Cancer incidence and mortality for all causes in HIV-infected patients over a quarter century: a multicentre cohort study. BMC Public Health. 2015;15:235. doi: 10.1186/s12889-015-1565-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Wada N, Jacobson LP, Cohen M, French A, Phair J, Munoz A. Cause-specific life expectancies after 35 years of age for human immunodeficiency syndrome-infected and human immunodeficiency syndrome-negative individuals followed simultaneously in long-term cohort studies, 1984–2008. Am J Epidemiol. 2013;177:116–125. doi: 10.1093/aje/kws321. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Franzetti M, Adorni F, Parravicini C, Vergani B, Antinori S, Milazzo L, et al. Trends and predictors of non-AIDS-defining cancers in men and women with HIV infection: a single-institution retrospective study before and after the introduction of HAART. J Acquir Immune Defic Syndr. 2013;62:414–420. doi: 10.1097/QAI.0b013e318282a189. [DOI] [PubMed] [Google Scholar]
- 16.Silverberg MJ, Lau B, Justice AC, Engels E, Gill MJ, Goedert JJ, et al. Risk of anal cancer in HIV-infected and HIV-uninfected individuals in North America. Clin Infect Dis. 2012;54:1026–1034. doi: 10.1093/cid/cir1012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Silverberg MJ, Lau B, Achenbach CJ, Jing Y, Althoff KN, D'Souza G, et al. Cumulative incidence of cancer among persons with HIV in North America: a cohort study. Ann Intern Med. 2015;163:507–518. doi: 10.7326/M14-2768. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Robbins HA, Shiels MS, Pfeiffer RM, Engels EA. Epidemiologic contributions to recent cancer trends among HIV-infected people in the United States. AIDS. 2014;28:881–890. doi: 10.1097/QAD.0000000000000163. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Hleyhel M. Writing Committee of the Cancer Risk Group of the French Hospital Database on HIV (FHDH-ANRS CO4). Risk of non-AIDS-defining cancers among HIV-1-infected individuals in France between 1997 and 2009: results from a French cohort. AIDS. 2014;28:2109–2118. doi: 10.1097/QAD.0000000000000382. [DOI] [PubMed] [Google Scholar]
- 20.Calabresi A, Ferraresi A, Festa A, Scarcella C, Donato F, Vassallo F, et al. Incidence of AIDS-defining cancers and virus-related and non-virus-related non-AIDS-defining cancers among HIV-infected patients compared with the general population in a large health district of Northern Italy, 1999–2009. HIV Med. 2013;14:481–490. doi: 10.1111/hiv.12034. [DOI] [PubMed] [Google Scholar]
- 21.Yanik EL, Tamburro K, Eron JJ, Damania B, Napravnik S, Dittmer DP. Recent cancer incidence trends in an observational clinical cohort of HIV-infected patients in the US, 2000 to 2011. Infect Agent Cancer. 2013;8:18. doi: 10.1186/1750-9378-8-18. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Worm SW, Bower M, Reiss P, Bonnet F, Law M, Fatkenheuer G, et al. Non-AIDS defining cancers in the D:A:D Study--time trends and predictors of survival: a cohort study. BMC Infect Dis. 2013;13:471. doi: 10.1186/1471-2334-13-471. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.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;23:2337–2345. doi: 10.1097/QAD.0b013e3283319184. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Patel P, Armon C, Chmiel JS, Brooks JT, Buchacz K, Wood K, et al. Factors associated with cancer incidence and with all-cause mortality after cancer diagnosis among human immunodeficiency virus-infected persons during the combination antiretroviral therapy era. Open Forum Infect Dis. 2014;1:ofu012. doi: 10.1093/ofid/ofu012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Albini L, Calabresi A, Gotti D, Ferraresi A, Festa A, Donato F, et al. Burden of non-AIDS-defining and non-virus-related cancers among HIV-infected patients in the combined antiretroviral therapy era. AIDS Res Hum Retroviruses. 2013;29:1097–1104. doi: 10.1089/aid.2012.0321. [DOI] [PubMed] [Google Scholar]
- 26.Piketty C, Selinger-Leneman H, Bouvier AM, Belot A, Mary-Krause M, Duvivier C, et al. Incidence of HIV-related anal cancer remains increased despite long-term combined antiretroviral treatment: results from the French Hospital Database on HIV. J Clin Oncol. 2012;30:4360–4366. doi: 10.1200/JCO.2012.44.5486. [DOI] [PubMed] [Google Scholar]
- 27.Dubrow R, Silverberg MJ, Park LS, Crothers K, Justice AC. HIV infection, aging, and immune function: implications for cancer risk and prevention. Curr Opin Oncol. 2012;24:506–516. doi: 10.1097/CCO.0b013e328355e131. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Shiels MS, Cole SR, Kirk GD, Poole C. A meta-analysis of the incidence of non-AIDS cancers in HIV-infected individuals. J Acquir Immune Defic Syndr. 2009;52:611–622. doi: 10.1097/QAI.0b013e3181b327ca. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Park LS, Tate JP, Rodriguez-Barradas MC, Rimland D, Goetz MB, Gibert C, et al. Cancer incidence in HIV-infected versus uninfected veterans: comparison of cancer registry and ICD-9 code diagnoses. J AIDS Clin Res. 2014;5:318. doi: 10.4172/2155-6113.1000318. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Fultz SL, Skanderson M, Mole LA, Gandhi N, Bryant K, Crystal S, et al. Development and verification of a "virtual" cohort using the National VA Health Information System. Med Care. 2006;44:S25–S30. doi: 10.1097/01.mlr.0000223670.00890.74. [DOI] [PubMed] [Google Scholar]
- 31.Zullig LL, Jackson GL, Dorn RA, Provenzale DT, McNeil R, Thomas CM, et al. Cancer incidence among patients of the U.S. Veterans Affairs Health Care System. Mil Med. 2012;177:693–701. doi: 10.7205/milmed-d-11-00434. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Fritz A, Percy C, Jack A, editors. International Classification of Diseases for Oncology (ICD-O) 3. Geneva, Switzerland: World Health Organization; 2000. [Google Scholar]
- 33.Surveillance, Epidemiology, and End Results Program. Site Recode ICD-O-3/WHO 2008 Definition. [Accessed 8 March 2015];Surveillance Research Program, National Cancer Institute. http://seer.cancer.gov/siterecode/icdo3_dwhoheme/index.html.
- 34.Boyle P, Parkin DM. Statistical methods of registries. In: Jensen OM, Parkin DM, MacLennan R, Muir CS, Skeet RG, editors. Cancer registration: principles and methods. Statistical methods for registries. Lyon, France: International Agency for Research on Cancer; 1991. pp. 126–158. [PubMed] [Google Scholar]
- 35.Wood J, Richardson D, Wing S. A simple program to create exact person-time data in cohort analyses. Int J Epidemiol. 1997;26:395–399. doi: 10.1093/ije/26.2.395. [DOI] [PubMed] [Google Scholar]
- 36.Armitage P, Berry G, Matthews JNS. Statistical methods in medical research. 4. Malden, MA: Blackwell Science; 2001. [Google Scholar]
- 37.Breslow NE. Elementary methods of cohort analysis. Int J Epidemiol. 1984;13:112–115. doi: 10.1093/ije/13.1.112. [DOI] [PubMed] [Google Scholar]
- 38.Breslow NE, Day NE. Statistical methods in cancer research. Volume II--The design and analysis of cohort studies. Lyon, France: International Agency for Research on Cancer; 1987. [PubMed] [Google Scholar]
- 39.SAS Institute Inc. SAS software version 9.4. Cary, NC: [Google Scholar]
- 40.Edwards BK, Noone AM, Mariotto AB, Simard EP, Boscoe FP, Henley SJ, et al. Annual report to the nation on the status of cancer, 1975–2010, featuring prevalence of comorbidity and impact on survival among persons with lung, colorectal, breast, or prostate cancer. Cancer. 2014;120:1290–1314. doi: 10.1002/cncr.28509. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Jemal A, Thun MJ, Ries LA, Howe HL, Weir HK, Center MM, et al. Annual report to the nation on the status of cancer, 1975–2005, featuring trends in lung cancer, tobacco use, and tobacco control. J Natl Cancer Inst. 2008;100:1672–1694. doi: 10.1093/jnci/djn389. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.El-Serag HB. Epidemiology of viral hepatitis and hepatocellular carcinoma. Gastroenterology. 2012;142:1264–1273. e1261. doi: 10.1053/j.gastro.2011.12.061. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Park LS, Hernandez-Ramirez RU, Silverberg MJ, Crothers K, Dubrow R. Prevalence of non-HIV cancer risk factors in persons living with HIV/AIDS: a meta-analysis. AIDS. 2016;30:273–291. doi: 10.1097/QAD.0000000000000922. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.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. 2014;9:34–40. doi: 10.1097/COH.0000000000000025. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Althoff KN, Gange SJ, Klein MB, Brooks JT, Hogg RS, Bosch RJ, et al. Late presentation for human immunodeficiency virus care in the United States and Canada. Clin Infect Dis. 2010;50:1512–1520. doi: 10.1086/652650. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Hanna DB, Buchacz K, Gebo KA, Hessol NA, Horberg MA, Jacobson LP, et al. Trends and disparities in antiretroviral therapy initiation and virologic suppression among newly treatment-eligible HIV-infected individuals in North America, 2001–2009. Clin Infect Dis. 2013;56:1174–1182. doi: 10.1093/cid/cit003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Willig JH, Abroms S, Westfall AO, Routman J, Adusumilli S, Varshney M, et al. Increased regimen durability in the era of once-daily fixed-dose combination antiretroviral therapy. AIDS. 2008;22:1951–1960. doi: 10.1097/QAD.0b013e32830efd79. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Nachega JB, Mugavero MJ, Zeier M, Vitoria M, Gallant JE. Treatment simplification in HIV-infected adults as a strategy to prevent toxicity, improve adherence, quality of life and decrease healthcare costs. Patient Prefer Adherence. 2011;5:357–367. doi: 10.2147/PPA.S22771. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Viswanathan S, Justice AC, Alexander GC, Brown TT, Gandhi NR, McNicholl IR, et al. Adherence and HIV RNA suppression in the current era of highly active antiretroviral therapy. J Acquir Immune Defic Syndr. 2015;69:493–498. doi: 10.1097/QAI.0000000000000643. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Althoff KN, Buchacz K, Hall HI, Zhang J, Hanna DB, Rebeiro P, et al. U.S. trends in antiretroviral therapy use, HIV RNA plasma viral loads, and CD4 T-lymphocyte cell counts among HIV-infected persons, 2000 to 2008. Ann Intern Med. 2012;157:325–335. doi: 10.7326/0003-4819-157-5-201209040-00005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Drach L, Holbert T, Maher J, Fox V, Schubert S, Saddler LC. Integrating smoking cessation into HIV care. AIDS Patient Care STDS. 2010;24:139–140. doi: 10.1089/apc.2009.0274. [DOI] [PubMed] [Google Scholar]
- 52.Lifson AR, Lando HA. Smoking and HIV: prevalence, health risks, and cessation strategies. Curr HIV/AIDS Rep. 2012;9:223–230. doi: 10.1007/s11904-012-0121-0. [DOI] [PubMed] [Google Scholar]
- 53.Moyer VA US. Preventive Services Task Force. Screening for lung cancer: U.S. Preventive Services Task Force recommendation statement. Ann Intern Med. 2014;160:330–338. doi: 10.7326/M13-2771. [DOI] [PubMed] [Google Scholar]
- 54.Sigel K, Wisnivesky J, Shahrir S, Brown ST, Justice A, Kim J, et al. Findings in asymptomatic HIV-infected patients undergoing chest computed tomography testing: implications for lung cancer screening. AIDS. 2014;28:1007–1014. doi: 10.1097/QAD.0000000000000189. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Bruix J, Sherman M Practice Guidelines Committee American Association for the Study of Liver Diseases. Management of hepatocellular carcinoma. Hepatology. 2005;42:1208–1236. doi: 10.1002/hep.20933. [DOI] [PubMed] [Google Scholar]
- 56.Wells JS, Holstad MM, Thomas T, Bruner DW. An integrative review of guidelines for anal cancer screening in HIV-infected persons. AIDS Patient Care STDS. 2014;28:350–357. doi: 10.1089/apc.2013.0358. [DOI] [PubMed] [Google Scholar]
- 57.Kaplan JE, Benson C, Holmes KK, Brooks JT, Pau A, Masur H, et al. Guidelines for prevention and treatment of opportunistic infections in HIV-infected adults and adolescents: recommendations from CDC, the National Institutes of Health, and the HIV Medicine Association of the Infectious Diseases Society of America. MMWR Recomm Rep. 2009;58:1–207. [PubMed] [Google Scholar]
- 58.Whitaker JA, Rouphael NG, Edupuganti S, Lai L, Mulligan MJ. Strategies to increase responsiveness to hepatitis B vaccination in adults with HIV-1. Lancet Infect Dis. 2012;12:966–976. doi: 10.1016/S1473-3099(12)70243-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.US Food and Drug Administration news release: Gardasil approved to prevent anal cancer. [Accessed 20 April 2015];2010 http://www.fda.gov/NewsEvents/Newsroom/PressAnnouncements/ucm237941.htm.
- 60.Wilkin T, Lee JY, Lensing SY, Stier EA, Goldstone SE, Berry JM, et al. Safety and immunogenicity of the quadrivalent human papillomavirus vaccine in HIV-1-infected men. J Infect Dis. 2010;202:1246–1253. doi: 10.1086/656320. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Kojic EM, Kang M, Cespedes MS, Umbleja T, Godfrey C, Allen RT, et al. Immunogenicity and safety of the quadrivalent human papillomavirus vaccine in HIV-1-infected women. Clin Infect Dis. 2014;59:127–135. doi: 10.1093/cid/ciu238. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Toft L, Storgaard M, Müller M, Sehr P, Bonde J, Tolstrup M, et al. Comparison of the immunogenicity and reactogenicity of Cervarix and Gardasil human papillomavirus vaccines in HIV-infected adults: a randomized, double-blind clinical trial. J Infect Dis. 2014;209:1165–1173. doi: 10.1093/infdis/jit657. [DOI] [PubMed] [Google Scholar]
- 63.Kahn JA, Xu J, Kapogiannis BG, Rudy B, Gonin R, Liu N, et al. Immunogenicity and safety of the human papillomavirus 6, 11, 16, 18 vaccine in HIV-infected young women. Clin Infect Dis. 2013;57:735–744. doi: 10.1093/cid/cit319. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Osinusi A, Townsend K, Kohli A, Nelson A, Seamon C, Meissner EG, et al. Virologic response following combined ledipasvir and sofosbuvir administration in patients with HCV genotype 1 and HIV co-infection. JAMA. 2015;313:1232–1239. doi: 10.1001/jama.2015.1373. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Sulkowski MS, Eron JJ, Wyles D, Trinh R, Lalezari J, Wang C, et al. Ombitasvir, paritaprevir co-dosed with ritonavir, dasabuvir, and ribavirin for hepatitis C in patients co-infected with HIV-1: a randomized trial. JAMA. 2015;313:1223–1231. doi: 10.1001/jama.2015.1328. [DOI] [PubMed] [Google Scholar]
- 66.Panel on Antiretroviral Guidelines for Adults and Adolescents. Guidelines for the use of antiretroviral agents in HIV-1-infected adults and adolescents. [Accessed 8 March 2015];Department of Health and Human Services. http://www.aidsinfo.nih.gov/ContentFiles/AdultandAdolescentGL.pdf.
- 67.Samet JH, Walley AY. Interventions targeting HIV-infected risky drinkers. Alcohol Res Health. 2010;33:267–279. [PMC free article] [PubMed] [Google Scholar]
- 68.Brown JL, DeMartini KS, Sales JM, Swartzendruber AL, DiClemente RJ. Interventions to reduce alcohol use among HIV-infected individuals: a review and critique of the literature. Curr HIV/AIDS Rep. 2013;10:356–370. doi: 10.1007/s11904-013-0174-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Moyer VA. U.S. Preventive Services Task Force. Screening for prostate cancer: U.S. Preventive Services Task Force recommendation statement. Ann Intern Med. 2012;157:120–134. doi: 10.7326/0003-4819-157-2-201207170-00459. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.