Literature DB >> 21333944

[Individual response to ionising radiation: What predictive assay(s) to choose?].

Adeline Granzotto1, Aurélie Joubert, Muriel Viau, Clément Devic, Mira Maalouf, Charles Thomas, Guillaume Vogin, Karim Malek, Catherine Colin, Jacques Balosso, Nicolas Foray.   

Abstract

Individual response to ionizing radiation is an important information required to apply an efficient radiotherapy treatment against tumour and to avoid any adverse effects in normal tissues. In 1981, Fertil and Malaise have demonstrated that the post-irradiation local tumor control determined in vivo is correlated with clonogenic cell survival assessed in vitro. Furthermore, these authors have reminded the relevance of the concept of intrinsic radiosensitivity that is specific to each individual organ (Fertil and Malaise, 1981) [1]. To date, since clonogenicity assays are too time-consuming and do not provide any other molecular information, a plethora of research groups have attempted to determine the molecular bases of intrinsic radiosensitivity in order to propose reliable and faster predictive assays. To this aim, several approaches have been developed. Notably, the recent revolution in genomic and proteomic technologies is providing a considerable number of data but their link with radiosensitivity still remains to be elucidated. On another hand, the systematic screening of some candidate genes potentially involved in the radiation response is highlighting the complexity of the molecular and cellular mechanisms of DNA damage sensoring and signalling and shows that an abnormal radiation response is not necessarily due to the impairment of one single protein. Finally, more modest approaches consisting in focusing some specific functions of DNA repair seem to provide more reliable clues to predict over-acute reactions caused by radiotherapy. In this review, we endeavoured to analyse the contributions of these major approaches to predict human radiosensitivity.
Copyright © 2011 Académie des sciences. Published by Elsevier SAS. All rights reserved.

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Year:  2011        PMID: 21333944     DOI: 10.1016/j.crvi.2010.12.018

Source DB:  PubMed          Journal:  C R Biol        ISSN: 1631-0691            Impact factor:   1.583


  4 in total

1.  Validation of a high performance functional assay for individual radiosensitivity in pediatric oncology: a prospective cohort study (ARPEGE).

Authors:  Valérie Bernier-Chastagner; Liza Hettal; Véronique Gillon; Laurinda Fernandes; Cécile Huin-Schohn; Marion Vazel; Priscillia Tosti; Julia Salleron; Aurélie François; Elise Cérimèle; Sandrine Perreira; Didier Peiffert; Pascal Chastagner; Guillaume Vogin
Journal:  BMC Cancer       Date:  2018-07-06       Impact factor: 4.430

2.  Comparison of Individual Radiosensitivity to γ-Rays and Carbon Ions.

Authors:  Grace Shim; Marie Delna Normil; Isabelle Testard; William M Hempel; Michelle Ricoul; Laure Sabatier
Journal:  Front Oncol       Date:  2016-06-13       Impact factor: 6.244

3.  Absence of correlation between radiation-induced CD8 T-lymphocyte apoptosis and sequelae in patients with prostate cancer accidentally overexposed to radiation.

Authors:  Guillaume Vogin; Jean-Louis Merlin; Alexandra Rousseau; Didier Peiffert; Alexandre Harlé; Marie Husson; Labib El Hajj; Mihai Levitchi; Tabassome Simon; Jean-Marc Simon
Journal:  Oncotarget       Date:  2018-08-24

4.  ATX-101, a Peptide Targeting PCNA, Has Antitumor Efficacy Alone or in Combination with Radiotherapy in Murine Models of Human Glioblastoma.

Authors:  Giovanni Luca Gravina; Alessandro Colapietro; Andrea Mancini; Alessandra Rossetti; Stefano Martellucci; Luca Ventura; Martina Di Franco; Francesco Marampon; Vincenzo Mattei; Leda Assunta Biordi; Marit Otterlei; Claudio Festuccia
Journal:  Cancers (Basel)       Date:  2022-01-07       Impact factor: 6.639

  4 in total

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