Literature DB >> 2748944

Why are some human tumours more radiosensitive than others?

G G Steel1, J H Peacock.   

Abstract

There is now good evidence that the radiosensitivity of human tumour cells varies form one tumour type to another, and that the steepness of the initial part of the cell survival curve correlates with clinical radioresponsiveness. Studies at low dose rate allow differences between tumour cells to be seen more clearly. Current mathematical models of radiation cell killing include two components: a linear (i.e. exponential "alpha-component") and a bending component ("beta-component"). Repair of radiation damage affects only the beta-component. Among the 17 human tumour cell lines that we have studied, the average surviving fraction at 2 Gy due to the alpha-component is 0.44 and that due to the beta-component is 0.88. The beta-effect at 2 Gy appears to be similar in radiosensitive and radioresistant tumours; thus among radiosensitive tumours where the survival due to the alpha-component is below 0.3 the beta-effect makes a very small contribution to overall radiosensitivity in the low-dose region. Steep cell survival curves may appear straight but still be consistent with a modest beta-value. The overall effect of many small fractions will be to amplify the dominance of the alpha-component. The beta-effect is then unimportant because repair will be almost complete. Repair inhibitors may however change this situation, reducing recovery, increasing the beta-effect, and thereby increasing sensitivity. But in the absence of such inhibitors the differences between radiosensitive and radioresistant tumours must be looked for not in repair capacity but in the nature of the alpha-component. The most radiocurable tumours do not have low beta-values; they have higher alpha-values than the less curable tumours.

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Year:  1989        PMID: 2748944     DOI: 10.1016/0167-8140(89)90119-9

Source DB:  PubMed          Journal:  Radiother Oncol        ISSN: 0167-8140            Impact factor:   6.280


  12 in total

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Authors:  D Bartkowiak; W Nothdurft; E M Röttinger
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Review 2.  Radiotherapy update.

Authors:  A Horwich
Journal:  BMJ       Date:  1992-06-13

3.  The inhibition of cellular recovery in human tumour cells by inhibitors of topoisomerase.

Authors:  S R Musk; G G Steel
Journal:  Br J Cancer       Date:  1990-09       Impact factor: 7.640

Review 4.  Clinical significance of cellular resistance in tumours to cytotoxic chemotherapy and radiotherapy.

Authors:  M Pomeroy; M Moriarty
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Review 5.  The molecular basis of chemoradiosensitivity in rectal cancer: implications for personalized therapies.

Authors:  Marian Grade; Hendrik A Wolff; Jochen Gaedcke; B Michael Ghadimi
Journal:  Langenbecks Arch Surg       Date:  2012-03-02       Impact factor: 3.445

Review 6.  Effects of Charged Particles on Human Tumor Cells.

Authors:  Kathryn D Held; Hidemasa Kawamura; Takuya Kaminuma; Athena Evalour S Paz; Yukari Yoshida; Qi Liu; Henning Willers; Akihisa Takahashi
Journal:  Front Oncol       Date:  2016-02-12       Impact factor: 6.244

7.  Dual effects of radiation bystander signaling in urothelial cancer: purinergic-activation of apoptosis attenuates survival of urothelial cancer and normal urothelial cells.

Authors:  Malgorzata A Bill; Kirtiman Srivastava; Conor Breen; Karl T Butterworth; Stephen J McMahon; Kevin M Prise; Karen D McCloskey
Journal:  Oncotarget       Date:  2017-10-24

8.  Systematic analysis of RBE and related quantities using a database of cell survival experiments with ion beam irradiation.

Authors:  Thomas Friedrich; Uwe Scholz; Thilo Elsässer; Marco Durante; Michael Scholz
Journal:  J Radiat Res       Date:  2012-12-23       Impact factor: 2.724

9.  Cellular radiosensitivity: do separate predictive parameters apply for fibroblasts and for human tumour cells?

Authors:  L Bohm
Journal:  Br J Cancer       Date:  2004-01-26       Impact factor: 7.640

Review 10.  Can the two mechanisms of tumor cell killing by radiation be exploited for therapeutic gain?

Authors:  J D Chapman
Journal:  J Radiat Res       Date:  2013-10-08       Impact factor: 2.724

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