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建模肿瘤内放射敏感性异质性对分次放射治疗过程中肿瘤反应的影响。

Modeling the effect of intratumoral heterogeneity of radiosensitivity on tumor response over the course of fractionated radiation therapy.

机构信息

Department of Systems Immunology and Braunschweig Integrated Centre of Systems Biology, Helmholtz Centre for Infection Research, Braunschweig, Germany.

Division of Radiation Oncology, Department of Radiology, Morsani School of Medicine at the University of South Florida, Tampa, FL, USA.

出版信息

Radiat Oncol. 2019 May 30;14(1):88. doi: 10.1186/s13014-019-1288-y.

Abstract

BACKGROUND

Standard radiobiology theory of radiation response assumes a uniform innate radiosensitivity of tumors. However, experimental data show that there is significant intratumoral heterogeneity of radiosensitivity. Therefore, a model with heterogeneity was developed and tested using existing experimental data to show the potential effects from the presence of an intratumoral distribution of radiosensitivity on radiation therapy response over a protracted radiation therapy treatment course.

METHODS

The standard radiation response curve was modified to account for a distribution of radiosensitivity, and for variations in the repopulation rates of the tumor cell subpopulations. Experimental data from the literature were incorporated to determine the boundaries of the model. The proposed model was then used to show the changes in radiosensitivity of the tumor during treatment, and the effects of fraction size, α/β ratio and variation of the repopulation rates of tumor cells.

RESULTS

In the presence of an intratumoral distribution of radiosensitivity, there is rapid selection of radiation-resistant cells over a course of fractionated radiation therapy. Standard treatment fractionation regimes result in the near-complete replacement of the initial population of sensitive cells with a population of more resistant cells. Further, as treatment progresses, the tumor becomes more resistant to further radiation treatment, making each fractional dose less efficacious. A wider initial distribution induces increased radiation resistance. Hypofractionation is more efficient in a heterogeneous tumor, with increased cell kill for biologically equivalent doses, while inducing less resistance. The model also shows that a higher growth rate in resistant cells can account for the accelerated repopulation that is seen during the clinical treatment of patients.

CONCLUSIONS

Modeling of tumor cell survival with radiosensitivity heterogeneity alters the predicted tumor response, and explains the induction of radiation resistance by radiation treatment, the development of accelerated repopulation, and the potential beneficial effects of hypofractionation. Tumor response to treatment may be better predicted by assaying for the distribution of radiosensitivity, or the extreme of the radiosensitivity, rather than measuring the initial, general radiation sensitivity of the untreated tumor.

摘要

背景

标准放射生物学理论认为肿瘤的放射反应具有均匀的固有放射敏感性。然而,实验数据表明,肿瘤内存在明显的放射敏感性异质性。因此,本文开发并测试了一个具有异质性的模型,利用现有实验数据来展示肿瘤内放射敏感性分布对放射治疗反应的潜在影响,这种影响贯穿于整个放射治疗过程中。

方法

对标准放射反应曲线进行了修正,以考虑放射敏感性的分布和肿瘤细胞亚群再增殖率的变化。纳入文献中的实验数据来确定模型的边界。然后,使用所提出的模型来展示肿瘤在治疗过程中的放射敏感性变化,以及分割大小、α/β 比值和肿瘤细胞再增殖率变化的影响。

结果

在存在肿瘤内放射敏感性分布的情况下,随着分次放射治疗的进行,会迅速选择出具有辐射抗性的细胞。标准治疗分割方案导致初始敏感细胞群体几乎完全被具有辐射抗性的细胞群体所取代。此外,随着治疗的进行,肿瘤对进一步的放射治疗变得更加耐受,导致每个分割剂量的疗效降低。初始分布越宽,诱导的辐射抗性越大。在异质性肿瘤中,低分割更有效,生物等效剂量的细胞杀伤增加,而诱导的抗性降低。该模型还表明,耐药细胞的生长速度加快可以解释临床治疗中观察到的加速再增殖现象。

结论

用放射敏感性异质性来模拟肿瘤细胞的存活情况改变了预测的肿瘤反应,解释了放射治疗诱导的辐射抗性、加速再增殖的发展,以及低分割的潜在有益效果。通过检测放射敏感性分布或极端放射敏感性,而不是测量未经治疗的肿瘤的初始普遍放射敏感性,可以更好地预测肿瘤对治疗的反应。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c4d/6543639/4261da6069c5/13014_2019_1288_Fig1_HTML.jpg

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