Simulation dataset for the T equation: modeling endometriosis progression

Sheryene Tejeda, Sese-Owei Ekaye
2026 · doi:10.5281/zenodo.22046682 · W7203914063
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This dataset provides simulation data using the T equation to model endometriosis pathophysiology, demonstrating how varying susceptibility and elagolix treatment levels affect ectopic cell proliferation over thirty months.

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This dataset supports a mathematical modeling study of endometriosis pathophysiology by providing simulation data generated from the T equation. The research evaluates how endocrine signaling and receptor dynamics influence ectopic cell proliferation under varying susceptibility levels and treatment regimens, specifically comparing untreated baselines against elagolix therapy. Key results indicate that higher susceptibility significantly increases lesion progression, while pharmacological intervention reduces this growth, with the ratio of untreated to treated outcomes quantified at 30 months. This paper is centrally about endometriosis — specifically, it presents a computational model for evaluating disease progression and treatment efficacy using theoretical biological equations.

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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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