Identification de marqueurs prédictifs de la réponse à la radiothérapie par approche protéomique

Translated title of the contribution: Identification of predictive biomarkers to radiotherapy outcome through proteomics approaches

J. Lacombe, A. Mange, D. Azria, J. Solassol

Research output: Contribution to journalShort surveypeer-review

10 Scopus citations

Abstract

The success of radiotherapy mainly depends on the total administered dose. This dose must be homogenously delivered onto the tumor and must preserve the surrounding healthy tissue. However, several patients are hypersensitive to ionizing radiations and may develop important radiation-induced early and late side effects. The prediction of these side effects remains currently impossible, involving to limit the given dose with the risk to decrease the therapeutic benefit for patients. Therefore, one of the major challenges in radiobiology is to accurately predict tumour radioresistance and to determine normal tissue radiosensitivity to tailor treatment. Several studies have been carried out and different predictive assays have been described in this field. However, none of them showed significant results for clinical use. For several years, many technological advances in proteomic fields have been performed in order to identify new biomarkers. After a brief description of the main characteristics of tumor radioresistance and normal tissue radiosensitivity, we will develop in this review the different approaches proposed so far to identify predictive tools of radiotherapy outcome. We will then analyze in detail how proteomic studies can improve the understanding of mechanisms associated with radiosensitivity of healthy tissue and radioresistance of tumor cells and how they could highlight new predictive biomarkers in radiobiology.

Translated title of the contributionIdentification of predictive biomarkers to radiotherapy outcome through proteomics approaches
Original languageFrench
Pages (from-to)62-69
Number of pages8
JournalCancer radiotherapie : journal de la Societe francaise de radiotherapie oncologique
Volume17
Issue number1
DOIs
StatePublished - Feb 2013
Externally publishedYes

Keywords

  • Biomarkers
  • Proteomics
  • Radiation-induced toxicity
  • Radiotherapy

ASJC Scopus subject areas

  • Oncology
  • Radiology Nuclear Medicine and imaging

Fingerprint

Dive into the research topics of 'Identification of predictive biomarkers to radiotherapy outcome through proteomics approaches'. Together they form a unique fingerprint.

Cite this