Literature DB >> 16029781

Molecular markers predicting radiotherapy response: report and recommendations from an International Atomic Energy Agency technical meeting.

Catharine M L West1, Michael J McKay, Tobias Hölscher, Michael Baumann, Ian J Stratford, Robert G Bristow, Mayumi Iwakawa, Takashi Imai, Surekha M Zingde, Mitchell S Anscher, Jean Bourhis, Adrian C Begg, Karin Haustermans, Søren M Bentzen, Jolyon H Hendry.   

Abstract

PURPOSE: There is increasing interest in radiogenomics and the characterization of molecular profiles that predict normal tissue and tumor radioresponse. A meeting in Amsterdam was organized by the International Atomic Energy Agency to discuss this topic on an international basis. METHODS AND MATERIALS: This report is not completely exhaustive, but highlights some of the ongoing studies and new initiatives being carried out worldwide in the banking of tumor and normal tissue samples underpinning the development of molecular marker profiles for predicting patient response to radiotherapy. It is generally considered that these profiles will more accurately define individual or group radiosensitivities compared with the nondefinitive findings from the previous era of cellular-based techniques. However, so far there are only a few robust reports of molecular markers predicting normal tissue or tumor response.
RESULTS: Many centers in different countries have initiated tissue and tumor banks to store samples from clinical trials for future molecular profiling analysis, to identify profiles that predict for radiotherapy response. The European Society for Therapeutic Radiology and Oncology GENEtic pathways for the Prediction of the effects of Irradiation (GENEPI) project, to store, document, and analyze sample characteristics vs. response, is the most comprehensive in this regard.
CONCLUSIONS: The next 5-10 years are likely to see the results of these and other correlative studies, and promising associations of profiles with response should be validated in larger definitive trials.

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Year:  2005        PMID: 16029781     DOI: 10.1016/j.ijrobp.2005.05.001

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  7 in total

Review 1.  Biomarkers and surrogate endpoints for normal-tissue effects of radiation therapy: the importance of dose-volume effects.

Authors:  Søren M Bentzen; Matthew Parliament; Joseph O Deasy; Adam Dicker; Walter J Curran; Jacqueline P Williams; Barry S Rosenstein
Journal:  Int J Radiat Oncol Biol Phys       Date:  2010-03-01       Impact factor: 7.038

2.  Randomized controlled trials in health technology assessment: overkill or overdue?

Authors:  Søren M Bentzen
Journal:  Radiother Oncol       Date:  2008-01-30       Impact factor: 6.280

Review 3.  Global radiation oncology waybill.

Authors:  Victor Muñoz-Garzón; Angeles Rovirosa; Alfredo Ramos
Journal:  Rep Pract Oncol Radiother       Date:  2013-10-30

4.  In vitro prediction of breast cancer therapy toxicity.

Authors:  Michael J McKay; Jezzie Maneerat; Timothy M McKay; Jeremy N McKay; Reza Masoud-Rahbari
Journal:  Ann Transl Med       Date:  2017-03

5.  Update on clinical radiobiology.

Authors:  N Chawapun
Journal:  Biomed Imaging Interv J       Date:  2006-01-01

Review 6.  Diagnostic value of imaging examinations in patients with primary hepatocellular carcinoma.

Authors:  Xing-Hui Li; Qi Liang; Tian-Wu Chen; Jian Wang; Xiao-Ming Zhang
Journal:  World J Clin Cases       Date:  2018-09-06       Impact factor: 1.337

Review 7.  Enhancing the Bystander and Abscopal Effects to Improve Radiotherapy Outcomes.

Authors:  Virgínea de Araújo Farias; Isabel Tovar; Rosario Del Moral; Francisco O'Valle; José Expósito; Francisco Javier Oliver; José Mariano Ruiz de Almodóvar
Journal:  Front Oncol       Date:  2020-01-08       Impact factor: 6.244

  7 in total

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