A common signature of cell adaptation to stress is the improved resistance upon priming by prior stress exposure. In the context of hyperthermia, priming or preconditioning with sublethal heat shock can be a useful tool to confer thermotolerance and competitive advantage to cells. In the present study, we develop a data-driven modeling framework that is simple and generic enough to capture a broad set of adaptation behaviors to heat stress at both molecular and cellular levels. The model recovers the main features of thermotolerance and clarifies the tradeoff principles which maximize the thermotolerance effect. It therefore provides an effective predictive tool to design preconditioning and fractionation hyperthermia protocols for therapeutic purpose.

细胞适应压力的一个常见特征是通过先前的压力暴露提高了对启动的抵抗力。在热疗的背景下，亚致死热休克的启动或预处理可以成为赋予细胞耐热性和竞争优势的有用工具。在本研究中，我们开发了一个数据驱动的建模框架，该框架足够简单和通用，可以在分子和细胞水平上捕获一系列广泛的热应激适应行为。该模型恢复了耐热性的主要特征，阐明了使耐热性效果最大化的权衡原则。因此，它为设计用于治疗目的的预处理和分次热疗方案提供了一种有效的预测工具。