Pituitary & hypothalamus

Cancer risk in a large acromegaly cohort: a standardized incidence ratio analysis

PituitaryPublished Retrospective cohort study

Authors' conclusion

In this large single-center Turkish acromegaly cohort, the overall SIR (5.48) exceeded the pooled population-based estimate of 1.45. The non-thyroid SIR remained significant across all sensitivity analyses (range 2.22-3.45), indicating multi-site predisposition beyond surveillance bias. Cumulative IGF-1 exposure independently predicted cancer, supporting sustained hormonal excess as a driver of oncogenesis. These findings support systematic thyroid screening and heightened vigilance for non-thyroid malignancies in tertiary-managed acromegaly.

Study context

Population
Acromegaly patients followed at a single tertiary center in Turkey (1980–2023)
Participants
393 patients
Exposure
Acromegaly cohort vs Turkish national cancer rates
Outcome
Overall and site-specific cancer risk (SIR vs Turkish national cancer rates)
Follow-up
Median 9 years
Methodological detailssingle-centre, standardized incidence ratio analysis
  • Single-centre
  • Standardized incidence ratio analysis

Main finding

As reported in the abstract

Cancer incidence and overall cancer SIR
Developed cancer
64 (16.3%)
Overall cancer SIR
5.48 (95% CI 4.15-7.10)
Thyroid cancer SIR (p < 0.001)
46.25
Renal/urinary cancer SIR (p < 0.001)
7.38
Breast cancer SIR (p = 0.006)
3.75

Observational data: associations, not effects.

Further findings

Non-thyroid cancer SIR

Non-thyroid SIR (1.86-3.94, p < 0.001)
2.76
Non-thyroid SIR across graded landmarks (all p < 0.001)
range 2.42-2.53
  • Stable across graded landmarks and other sensitivity analyses

Cumulative IGF-1 exposure (TWAvg × ULN), cancer vs no cancer

TWAvg IGF-1 higher in cancer group (×ULN; p = 0.002)
1.26 vs. 0.97
TWAvg IGF-1 independently predicted cancer, OR
1.80 (95% CI 1.21-2.69; p = 0.004)
  • Multivariable logistic regression

Original publication

Cancer risk in a large acromegaly cohort: a standardized incidence ratio analysis. Pituitary. Published 16 June 2026. doi:10.1007/s11102-026-01700-x

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