Trends in Cancer Incidence in Different Antiretroviral Treatment-Eras amongst People with HIV.
Lauren GreenbergLene RyomElzbieta BakowskaFerdinand WitHeiner C BucherDominique L BraunAndrew PhillipsCaroline SabinAntonella d'Arminio MonforteRobert ZangerleColette SmithStéphane De WitFabrice BonnetChristian PradierCristina MussiniCamilla MucciniJörg J VehreschildJennifer F HoyVeronica SvedhemJose Maria MiroJan-Christian WasmuthPeter ReissJosep Maria LlibreNikoloz ChkhartishviliChristoph StephanCamilla I HatlebergBastian NeesgaardLars PetersNadine JaschinskiNikos DedesElena KuzovatovaMarc Van Der ValkMarianna MenozziClara LehmannKathy PetoumenosHarmony GargesJim RooneyLital YoungJens D LundgrenLoveleen Bansi-MatharuAmanda Mocroftnull On Behalf Of The Respond And D A D Study GroupsPublished in: Cancers (2023)
Despite cancer being a leading comorbidity amongst individuals with HIV, there are limited data assessing cancer trends across different antiretroviral therapy (ART)-eras. We calculated age-standardised cancer incidence rates (IRs) from 2006-2021 in two international cohort collaborations (D:A:D and RESPOND). Poisson regression was used to assess temporal trends, adjusted for potential confounders. Amongst 64,937 individuals (31% ART-naïve at baseline) and 490,376 total person-years of follow-up (PYFU), there were 3763 incident cancers (IR 7.7/1000 PYFU [95% CI 7.4, 7.9]): 950 AIDS-defining cancers (ADCs), 2813 non-ADCs, 1677 infection-related cancers, 1372 smoking-related cancers, and 719 BMI-related cancers (groups were not mutually exclusive). Age-standardised IRs for overall cancer remained fairly constant over time (8.22/1000 PYFU [7.52, 8.97] in 2006-2007, 7.54 [6.59, 8.59] in 2020-2021). The incidence of ADCs (3.23 [2.79, 3.72], 0.99 [0.67, 1.42]) and infection-related cancers (4.83 [4.2, 5.41], 2.43 [1.90, 3.05]) decreased over time, whilst the incidence of non-ADCs (4.99 [4.44, 5.58], 6.55 [5.67, 7.53]), smoking-related cancers (2.38 [2.01, 2.79], 3.25 [2.63-3.96]), and BMI-related cancers (1.07 [0.83, 1.37], 1.88 [1.42, 2.44]) increased. Trends were similar after adjusting for demographics, comorbidities, HIV-related factors, and ART use. These results highlight the need for better prevention strategies to reduce the incidence of NADCs, smoking-, and BMI-related cancers.
Keyphrases
- antiretroviral therapy
- hiv infected
- hiv positive
- human immunodeficiency virus
- papillary thyroid
- risk factors
- hiv infected patients
- childhood cancer
- cardiovascular disease
- type diabetes
- squamous cell carcinoma
- hiv testing
- machine learning
- men who have sex with men
- risk assessment
- south africa
- climate change
- artificial intelligence
- data analysis