Chen Xiaoping
State Key Laboratory of Respiratory Disease, Center for Infection and Immunity, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.
CAS Lamvac (Guangzhou) Biomedical Technology Co., Ltd., Guangzhou, China.
Front Oncol. 2024 May 10;14:1335533. doi: 10.3389/fonc.2024.1335533. eCollection 2024.
There is no theory to quantitatively describe the complex tumor ecosystem. At the same time, cancer immunotherapy is considered a revolution in oncology, but the methods used to describe tumors and the criteria used to evaluate efficacy are not keeping pace. The purpose of this study is to establish a new theory for quantitatively describing the tumor ecosystem, innovating the methods of tumor characterization, and establishing new efficacy evaluation criteria for cancer immunotherapy.
Based on the mathematization of immune equilibrium theory and the establishment of immunodynamics in a previous study, the method of reverse immunodynamics was used, namely, the immune braking force was regarded as the tumor ecological force and the immune force was regarded as the tumor ecological braking force, and the concept of momentum in physics was applied to the tumor ecosystem to establish a series of tumor ecodynamic equations. These equations were used to solve the fundamental and applied problems of the complex tumor ecosystem.
A series of tumor ecodynamic equations were established. The tumor ecological momentum equations and their component factors could be used to distinguish disease progression, pseudoprogression, and hyperprogression in cancer immunotherapy. On this basis, the adjusted tumor momentum equations were established to achieve the equivalence of tumor activity (including immunosuppressive activity and metabolic activity) and tumor volume, which could be used to calculate individual disease remission rate and establish new efficacy evaluation criteria (ieRECIST) for immunotherapy of solid tumor based on tumor ecodynamics. At the same time, the concept of moving cube-to-force square ratio and its expression were proposed to calculate the area under the curve of tumor ecological braking force of blood required to achieve an individual disease remission rate when the adjusted tumor ecological momentum was known.
A new theory termed tumor ecodynamics emphasizing both tumor activity and tumor volume is established to solve a series of basic and applied problems in the complex tumor ecosystem. It can be predicted that the future will be the era of cancer immune ecotherapy that targets the entire tumor ecosystem.
目前尚无理论可定量描述复杂的肿瘤生态系统。同时,癌症免疫疗法被视为肿瘤学领域的一场革命,但用于描述肿瘤的方法和评估疗效的标准却未能与时俱进。本研究的目的是建立一种新理论,用于定量描述肿瘤生态系统,创新肿瘤表征方法,并为癌症免疫疗法建立新的疗效评估标准。
基于先前研究中免疫平衡理论的数学化及免疫动力学的建立,采用反向免疫动力学方法,即将免疫刹车力视为肿瘤生态力,将免疫作用力视为肿瘤生态刹车力,并将物理学中的动量概念应用于肿瘤生态系统,建立了一系列肿瘤生态动力学方程。利用这些方程来解决复杂肿瘤生态系统的基础和应用问题。
建立了一系列肿瘤生态动力学方程。肿瘤生态动量方程及其组成因素可用于区分癌症免疫疗法中的疾病进展、假性进展和超进展。在此基础上,建立了调整后的肿瘤动量方程,以实现肿瘤活性(包括免疫抑制活性和代谢活性)与肿瘤体积的等效性,可用于计算个体疾病缓解率,并基于肿瘤生态动力学为实体瘤免疫治疗建立新的疗效评估标准(即RECIST)。同时,提出了动立方体与力平方比的概念及其表达式,用于在已知调整后的肿瘤生态动量时,计算实现个体疾病缓解率所需的血液肿瘤生态刹车力曲线下面积。
建立了一种名为肿瘤生态动力学的新理论,该理论同时强调肿瘤活性和肿瘤体积,以解决复杂肿瘤生态系统中的一系列基础和应用问题。可以预测,未来将是针对整个肿瘤生态系统的癌症免疫生态治疗时代。