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Article

Autonomous Normal–Cancer Discrimination by a LATS/pLATS-Explicit Hippo–YAP/TAZ Reaction System

Center for Mathematical Modeling and Data Science (MMDS), Osaka University, Toyonaka 560-8531, Japan
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Author to whom correspondence should be addressed.
Mathematics 2026, 14(1), 99; https://doi.org/10.3390/math14010099 (registering DOI)
Submission received: 18 November 2025 / Revised: 17 December 2025 / Accepted: 18 December 2025 / Published: 26 December 2025

Abstract

In this study, we propose a minimal reaction system for the Hippo–YAP/TAZ pathway that explicitly includes inactive LATS, active pLATS, cytoplasmic and nuclear YAP/TAZ, and phosphorylated YAP/TAZ. Local cell density is incorporated into the LATS activation term, and nuclear YAP/TAZ controls a threshold-type switch between proliferative and quiescent cell states. This five-variable system of ordinary differential equations is coupled to a three-dimensional molecular dynamics model that provides time-dependent cell positions and densities. We define normal-like and cancer-like conditions by varying only the LATS phosphorylation rate while keeping the initial distribution of YAP/TAZ identical. Under normal-like parameters, increasing cell density leads to rapid accumulation of pLATS and suppression of nuclear YAP/TAZ below the proliferative threshold, resulting in a contact-inhibited epithelium dominated by quiescent cells. In contrast, under cancer-like parameters with delayed LATS activation, nuclear YAP/TAZ in a subset of cells remains above the threshold, and proliferative clusters persist even in high-density regions. These simulations show that, even without any bias in initial concentrations, modest changes in the kinetics of LATS phosphorylation alone can induce a clear bifurcation between normal-like and cancer-like growth at the tissue scale. The results provide a mechanistic bridge linking molecular-level dysregulation of the Hippo pathway to macroscopic tumor expansion.
Keywords: hippo signaling pathway; YAP/TAZ dynamics; LATS phosphorylation; mathematical modeling; ordinary differential equations (ODEs); multi-agent 3D simulation; cell density-dependent proliferation; mathematical oncology hippo signaling pathway; YAP/TAZ dynamics; LATS phosphorylation; mathematical modeling; ordinary differential equations (ODEs); multi-agent 3D simulation; cell density-dependent proliferation; mathematical oncology

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MDPI and ACS Style

Umegaki, T.; Suzuki, T. Autonomous Normal–Cancer Discrimination by a LATS/pLATS-Explicit Hippo–YAP/TAZ Reaction System. Mathematics 2026, 14, 99. https://doi.org/10.3390/math14010099

AMA Style

Umegaki T, Suzuki T. Autonomous Normal–Cancer Discrimination by a LATS/pLATS-Explicit Hippo–YAP/TAZ Reaction System. Mathematics. 2026; 14(1):99. https://doi.org/10.3390/math14010099

Chicago/Turabian Style

Umegaki, Toshihito, and Takashi Suzuki. 2026. "Autonomous Normal–Cancer Discrimination by a LATS/pLATS-Explicit Hippo–YAP/TAZ Reaction System" Mathematics 14, no. 1: 99. https://doi.org/10.3390/math14010099

APA Style

Umegaki, T., & Suzuki, T. (2026). Autonomous Normal–Cancer Discrimination by a LATS/pLATS-Explicit Hippo–YAP/TAZ Reaction System. Mathematics, 14(1), 99. https://doi.org/10.3390/math14010099

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