Simulation dataset for the T equation: modeling endometriosis progression

Sheryene Tejeda, Sese-Owei Ekaye
2026 · doi:10.5281/zenodo.22046681 · W7203951815
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This simulation dataset provides raw trajectories and summary values for the T equation model, reproducing figures that evaluate endometriosis progression under varying endocrine signaling parameters and elagolix treatment regimens.

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This paper presents a simulation dataset derived from the T equation to model endometriosis pathophysiology, focusing on endocrine signaling and ectopic cell proliferation. The authors utilize specific parameters for sporadic versus high-susceptibility cases and evaluate the impact of elagolix treatment at different dosages over a 30-month period. Key results demonstrate that untreated high-susceptibility cases yield significantly higher lesion progression scores compared to treated groups, with the ratio of untreated to treated outcomes reaching 3.29 under specific conditions. This paper is centrally about endometriosis — specifically mathematical modeling of disease progression and treatment efficacy using the T equation.

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Abstract

This dataset contains the complete simulation data underlying the research article JTB-D-26-01357 (Mathematical Modeling of Endometriosis Pathophysiology: Evaluating Endocrine Signaling, Receptor Dynamics, and Ectopic Cell Proliferation) submitted to Journal of Theoretical Biology. The dataset was generated using the T equation E(tau) = S * exp(0.05 * G * S * tau) where S = sigma_X*J + sigma_alpha*beta. Parameter values: S0=1.0 untreated baseline, residual S=0.813 (elagolix 150 mg QD) and S=0.575 (200 mg BID), G=1.0 sporadic and G=3.52 high-susceptibility, threshold Sth=0.40, mu=0.02. Key results at 30 months: untreated G=1.0 E=4.48, S=0.813 E=2.75, S=0.575 E=1.36, untreated G=3.52 E=196, treated G=3.52 S=0.575 E=12.0. Ratio untreated/treated = 3.29. The file TEquationRawAllData.PDF includes all raw trajectories and summary values that reproduce Figures 1-4 of the related article. Data are normalized dimensionless; absolute lesion volumes recoverable by patient-specific scale factor. Related article: JTB-D-26-01357
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Simulation dataset for the T equation: modeling endometriosis progression Authors/Creators Description This dataset contains the complete simulation data underlying the research article JTB-D-26-01357 (Mathematical Modeling of Endometriosis Pathophysiology: Evaluating Endocrine Signaling, Receptor Dynamics, and Ectopic Cell Proliferation) submitted to Journal of Theoretical Biology. The dataset was generated using the T equation E(tau) = S * exp(0.05 * G * S * tau) where S = sigma_X*J + sigma_alpha*beta. Parameter values: S0=1.0 untreated baseline, residual S=0.813 (elagolix 150 mg QD) and S=0.575 (200 mg BID), G=1.0 sporadic and G=3.52 high-susceptibility, threshold Sth=0.40, mu=0.02. Key results at 30 months: untreated G=1.0 E=4.48, S=0.813 E=2.75, S=0.575 E=1.36, untreated G=3.52 E=196, treated G=3.52 S=0.575 E=12.0. Ratio untreated/treated = 3.29. The file TEquationRawAllData.PDF includes all raw trajectories and summary values that reproduce Figures 1-4 of the related article. Data are normalized dimensionless; absolute lesion volumes recoverable by patient-specific scale factor. Related article: JTB-D-26-01357 Files T_equation_Summary.PDF Files (34.7 kB) | Name | Size | Download all | |---|---|---| | md5:b54e6da12cd58524727f7d2fd90f9b07 | 17.6 kB | Preview Download | | md5:8514566063e9c219285cf1b7804633df | 17.0 kB | Preview Download | Additional details Software - Development Status - Active

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