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

被引:44
作者
Alfonso, J. C. L. [1 ,2 ]
Berk, L. [3 ]
机构
[1] Helmholtz Ctr Infect Res, Dept Syst Immunol, Braunschweig, Germany
[2] Helmholtz Ctr Infect Res, Braunschweig Integrated Ctr Syst Biol, Braunschweig, Germany
[3] Univ S Florida, Div Radiat Oncol, Dept Radiol, Morsani Sch Med, Tampa, FL USA
关键词
Intratumoral radiosensitivity heterogeneity; Radiation resistance; Linear-quadratic model; Fractionated radiotherapy; Accelerated repopulation; CANCER STEM-CELLS; LINEAR-QUADRATIC MODEL; RADIOTHERAPY RESPONSE; RADIORESISTANCE; RADIOBIOLOGY; CARCINOMA; HEAD;
D O I
10.1186/s13014-019-1288-y
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
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, alpha/beta 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.
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页数:12
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共 43 条
[31]   The mechanistic basis of the linear-quadratic formalism [J].
Sachs, RK ;
Brenner, DJ .
MEDICAL PHYSICS, 1998, 25 (10) :2071-2073
[32]   A genome-based model for adjusting radiotherapy dose (GARD): a retrospective, cohort-based study [J].
Scott, Jacob G. ;
Berglund, Anders ;
Schell, Michael J. ;
Mihaylov, Ivaylo ;
Fulp, William J. ;
Yue, Binglin ;
Welsh, Eric ;
Caudell, Jimmy J. ;
Ahmed, Kamran ;
Strom, Tobin S. ;
Mellon, Eric ;
Venkat, Puja ;
Johnstone, Peter ;
Foekens, John ;
Lee, Jae ;
Moros, Eduardo ;
Dalton, William S. ;
Eschrich, Steven A. ;
McLeod, Howard ;
Harrison, Louis B. ;
Torres-Roca, Javier F. .
LANCET ONCOLOGY, 2017, 18 (02) :202-211
[33]   Radiobiology of hypofractionated stereotactic radiotherapy: what are the optimal fractionation schedules? [J].
Shibamoto, Yuta ;
Miyakawa, Akifumi ;
Otsuka, Shinya ;
Iwata, Hiromitsu .
JOURNAL OF RADIATION RESEARCH, 2016, 57 :I76-I82
[34]   Intracellular signaling pathways regulating radioresistance of human prostate carcinoma cells [J].
Skvortsova, Ira ;
Skvortsov, Sergej ;
Stasyk, Taras ;
Raju, Uma ;
Popper, Bela-Andre ;
Schiestl, Bernhard ;
von Guggenberg, Elisabeth ;
Neher, Andreas ;
Bonn, Guenther K. ;
Huber, Lukas A. ;
Lukas, Peter .
PROTEOMICS, 2008, 8 (21) :4521-4533
[35]   Relationship between tumour cell in vitro radiosensitivity and clinical outcome after curative radiotherapy for squamous cell carcinoma of the head and neck [J].
Stausbol-Gron, B ;
Overgaard, J .
RADIOTHERAPY AND ONCOLOGY, 1999, 50 (01) :47-55
[36]   THE 5RS OF RADIOBIOLOGY [J].
STEEL, GG ;
MCMILLAN, TJ ;
PEACOCK, JH .
INTERNATIONAL JOURNAL OF RADIATION BIOLOGY, 1989, 56 (06) :1045-1048
[37]   The radiation hypersensitivity of cells at mitosis [J].
Stobbe, CC ;
Park, SJ ;
Chapman, JD .
INTERNATIONAL JOURNAL OF RADIATION BIOLOGY, 2002, 78 (12) :1149-1157
[38]   Predicting radiotherapy response for patients with soft tissue sarcoma by developing a molecular signature [J].
Tang, Zaixiang ;
Zeng, Qinghua ;
Li, Yan ;
Zhang, Xinyan ;
Suto, Mark J. ;
Xu, Bo ;
Yi, Nengjun .
ONCOLOGY REPORTS, 2017, 38 (05) :2814-2824
[39]   The alfa and beta of tumours: a review of parameters of the linear-quadratic model, derived from clinical radiotherapy studies [J].
van Leeuwen, C. M. ;
Oei, A. L. ;
Crezee, J. ;
Bel, A. ;
Franken, N. A. P. ;
Stalpers, L. J. A. ;
Kok, H. P. .
RADIATION ONCOLOGY, 2018, 13
[40]  
Withers HR., 1975, ADV RADIAT BIOL, V5, P241