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Study 6 of 6Octreotide literaturebiorxiv-preprint · Observational2026

Ex Vivo Drug Sensitivity in Patient-derived 3D Cultures in Acromegaly and its Association with Clinical Predictors

This study found that octreotide, cabergoline, and pasireotide modestly reduced cell viability in patient-derived cultures, with responder rates of 33-40%. The results suggest potential correlations with established clinical predictors.

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Observational · this one
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Summary and findings

This study assessed the viability changes in patient-derived 3D cultures of GH-secreting pituitary adenomas from 27 patients with acromegaly after exposure to octreotide, cabergoline, and pasireotide. All agents modestly reduced median cell viability to 84-86%, with responder rates between 33-40%. The study aimed to correlate these findings with established clinical predictors.

How much of this paper we could read: full text read (0.80). We had a clear abstract, so the summary below closely tracks the paper. What this means →
Median cell viability reduction of 84-86%, p < 0.05.2026

Abstract

The authors’ words, as biorxiv-preprint supplied them

<title>Abstract</title> <p> Purpose: Personalized therapy in acromegaly is limited by interindividual variability in drug responses and the lack of robust markers predicting tumor shrinkage, rather than biochemical control alone. To test whether <italic>ex vivo</italic> drug-induced viability changes in patient-derived 3D cultures (Pd3D) of GH–secreting pituitary adenomas reflect tumor cell-intrinsic pharmacological sensitivity and align with established clinical predictors. <h4>Methods:</h4> Spheroid-based Pd3D cultures were established from 27 patients with acromegaly. Cultures were exposed to octreotide, cabergoline, pasireotide, or vehicle control. We assessed cell viability changes; sample-level responder status (viability reduction <italic>vs</italic> vehicle, <italic>p</italic>  < 0.05); and associations between responder status and known predictive markers, including clinical characteristics, MRI findings, dynamic drug tests, and pathological features. In 6 cases, AI-based digital image analysis quantified pre- and post-treatment SSTR2 expression in liquid-based cytology (LBC). <h4>Results:</h4> All agents modestly reduced median cell viability (84–86%, <italic>p</italic>  < 0.05), with responder rates of 33–40%. Concordance with established predictors was observed: octreotide responders correlated with T2 hypointensity (88% <italic>vs</italic> 44%, <italic>p</italic>  = 0.04); cabergoline with positive bromocriptine tests (100% <italic>vs</italic> 45%, <italic>p</italic>  = 0.03); and pasireotide with sparsely granulated patterns (64% <italic>vs</italic> 19%, <italic>p</italic>  = 0.04). AI-based dynamic analysis demonstrated that <italic>ex vivo</italic> responders showed relatively stable SSTR2 expression after treatment, whereas nonresponders exhibited marked depletion. <h4>Conclusion:</h4> Spheroid-based Pd3D <italic>ex vivo</italic> viability assays revealed modest but significant cohort-level effects and sample-level concordance with clinical predictors, supporting the platform's validity. Additionally, AI-based quantification of SSTR2 dynamics captured functional receptor shifts. </p>

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