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The Journal of clinical endocrinology and metabolism

October 1, 2026 · via Europe PMC

Heterogeneity of MGMT expression in corticotroph adenomas and mechanism of acquired temozolomide resistance.

Paes T, Feelders RA, Dogan F, Iyer AM, Kros JM, Schwarz Y, van Koetsveld PM, Hofland LJ.

research-articleOpen access

AI summary — for doctors, generated from the abstract only

MGMT expression is highly heterogeneous in corticotroph pituitary tumors, and acquired temozolomide resistance in a cell model was linked to higher MGMT expression, possibly through clonal selection.

What was studied

Immunohistochemistry of MGMT in 25 corticotroph tumors, plus AtT20 corticotroph cell models made resistant by high- or low-dose TMZ exposure (the low dose being clinically achievable).

Key findings

  • MGMT staining was heterogeneous between and within tumors in 80% of tumors
  • High- and low-dose TMZ challenges produced 6.3-fold and 3.4-fold decreased sensitivity to growth inhibition
  • Resistant cells had higher Mgmt mRNA and protein and a 1.8-fold higher number of Mgmt-positive cells
  • No difference was found in Mgmt promoter methylation

Clinical relevance

May help explain why TMZ often fails after recurrence in aggressive pituitary tumors and could inform future strategies.

Who should care

Endocrinology

Limitations

Small tumor sample (25), a single mouse cell line model, and the clonal-selection explanation is a hypothesis rather than demonstrated.

Selection of high-MGMT cells is a plausible mechanism of acquired TMZ resistance in corticotroph tumors.

This is an AI-generated summary of the published abstract, not a clinical recommendation. It may not reflect the full text or subsequent updates — verify against the original source before acting on it.

Abstract

Context

Temozolomide (TMZ) can be an effective medical treatment for aggressive pituitary tumors. In case of disease recurrence following TMZ treatment, however, treatment with the drug generally does not control tumor regrowth.

Objective

This work aimed to better understand the mechanisms of resistance of corticotroph tumors to TMZ in the context of heterogeneity of methylguanine-DNA methyltransferase (MGMT) expression.

Methods

We performed immunohistochemical analysis of the MGMT expression pattern in 25 corticotroph tumors to evaluate intratumoral heterogeneity. In addition, we created in vitro models of AtT20 corticotroph tumor cells with acquired TMZ-resistance after exposure to high- and low-dose TMZ, the latter representing a clinically achievable TMZ level.

Results

MGMT immunostaining in corticotroph tumors showed a considerable heterogeneous intertumoral and intratumoral distribution pattern in 80% of tumors. In the in vitro model, high- and low-dose TMZ challenges induced a 6.3- and 3.4-fold decreased sensitivity to the growth inhibitory effect of TMZ. TMZ-induced changes in cell cycle phases were lower in TMZ-resistant cells than in vehicle-challenged cells. TMZ-resistant cells had higher Mgmt messenger RNA and protein expression and 1.8-fold higher number of Mgmt-positive cells. No difference was observed in the level of Mgmt promoter methylation.

Conclusion

Corticotroph pituitary tumors demonstrate a high intertumoral and intratumoral heterogeneity in MGMT expression. In an acquired TMZ-resistant corticotroph pituitary tumor cell model, TMZ resistance was associated with strong increase in MGMT expression and percentage of MGMT-positive cells. We hypothesize that clonal selection of high MGMT-expressing cells is involved in this acquired TMZ resistance.

DOI

10.1210/clinem/dgag170

PMID

42149504

PMCID

PMC13671774

Research metadata (titles, abstracts, authors, publication dates) is sourced from Europe PMC, which aggregates content from PubMed/MEDLINE, PubMed Central, and other providers under the U.S. National Library of Medicine (NLM/NCBI). NLM does not claim copyright on abstracts; the original journal publishers or authors may hold rights to the full articles. AI-generated summaries are derived only from the abstract, never the full text, and are always labeled as AI-generated.

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