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Long-term risk of de novo malignancy with tumor necrosis factor alpha (TNF) inhibitor immunosuppression: a multicenter, retrospective cohort study.

Journal of inflammation (London, England) 2025 Vol.22(1) p. 34

Driscoll CB, Rich JM, Yang C, Nicolas J, Isaacson D, Silberman P, Mi X, Kumar SKSR, Zhang H, Belknap S, Temps WH, Schaeffer EM, Kundu SD

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[BACKGROUND] Tumor necrosis factor-alpha (TNF) is an inflammatory cytokine implicated in the development of many chronic inflammatory diseases and TNF-α inhibitors (TNF-I) are frequently prescribed as

🔬 핵심 임상 통계 (초록에서 자동 추출 — 원문 검증 권장)
  • p-value p = 0.003
  • 95% CI 0.92-1.19
  • HR 0.51
  • 연구 설계 cohort study

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BibTeX ↓ RIS ↓
APA Driscoll CB, Rich JM, et al. (2025). Long-term risk of de novo malignancy with tumor necrosis factor alpha (TNF) inhibitor immunosuppression: a multicenter, retrospective cohort study.. Journal of inflammation (London, England), 22(1), 34. https://doi.org/10.1186/s12950-025-00445-x
MLA Driscoll CB, et al.. "Long-term risk of de novo malignancy with tumor necrosis factor alpha (TNF) inhibitor immunosuppression: a multicenter, retrospective cohort study.." Journal of inflammation (London, England), vol. 22, no. 1, 2025, pp. 34.
PMID 40814047

Abstract

[BACKGROUND] Tumor necrosis factor-alpha (TNF) is an inflammatory cytokine implicated in the development of many chronic inflammatory diseases and TNF-α inhibitors (TNF-I) are frequently prescribed as treatment. Their malignancy risk is debated, with pro-oncogenic effects of decreased immune surveillance and anti-oncogenic effects of decreasing chronic inflammation. As such, the literature is inconclusive in the malignancy risk of these medications. Here we investigate the malignancy risk in patients with chronic TNF-I exposure.

[METHODS] This is a single health system, retrospective non-matched cohort study of patients with chronic inflammatory conditions between 1996 and 2023. Patients exposed to TNF-I were identified using the generic medication names and the chronic inflammatory disease indication. The unmatched control cohort consisted of patients with the same chronic inflammatory conditions but without TNF-I exposure. Malignancies in this population were identified using ICD-9 and ICD-10 codes. TNF-I exposure was analyzed as a time-varying covariate prior to model fitting. Hazard ratios (HR) for TNF-I exposure on overall and individual cancer risk were estimated using two-sided Cox proportional hazards regression.

[RESULTS] There were 12,941 patients exposed to TNF-I and 37,402 patients unexposed to TNF-I. TNF-I exposure was not associated with overall cancer risk (HR 1.05, 95% CI 0.92-1.19). TNF-I exposure was positively associated with melanoma (HR 1.45, 95% CI 1.01-2.08), basal cell carcinoma (BCC) (HR 1.6, 95% CI 1.18-2.15) and squamous cell carcinoma (SCC) (HR 1.8, 95% CI 1.15-2.83), and negatively associated with prostate cancer (PCa) (HR = 0.51, 95% CI 0.29-0.91), leukemia (HR 0.12, 95% CI 0.02-0.83), and non-Hodgkin lymphoma (NHL) (HR 0.36, 95% CI 0.13-0.98). There was an increased risk of overall malignancy in TNF-I exposed patients with Psoriasis (HR 1.53, 95% CI 1.15-2.03, p = 0.003) but not in other inflammatory conditions.

[CONCLUSIONS] Patients with TNF-I exposure had higher risk of melanoma, skin SCC and BCC along with lower risk of leukemia, NHL, and PCa. This is consistent with previous melanoma, skin SCC and BCC data and demonstrates novel findings for leukemia, NHL, and PCa. There may need to be differential cancer screening algorithms for patients with different inflammatory conditions and TNF-I exposure.

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