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Professional-patient discrepancies in assessing lung cancer radiotherapy symptoms: An international multicentre study.

Lung Cancer

December 2024

Grupo Genética en Cáncer y Enfermedades Raras, Instituto de Investigación Sanitaria de Santiago de Compostela, Santiago de Compostela, Spain; Fundación Pública Galega de Medicina Xenómica, Santiago de Compostela, Spain; Biomedical Network on Rare Diseases (CIBERER), Madrid, Spain. Electronic address:

Background And Purpose: We investigate discrepancies in the assessment of treatment-related symptoms in lung cancer between healthcare professionals and patients, and factors contributing to these discrepancies.

Materials And Methods: Data from 515 participants in the REQUITE study were analysed. Five symptoms (cough, dyspnoea, bronchopulmonary haemorrhage, chest wall pain, dysphagia) were evaluated both before and after radiotherapy.

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Aim: To explore breast cancer patient's perspective on future genetic testing for prediction of toxicity after breast radiotherapy (RT).

Materials And Methods: The study involved patient enrolled in the Italian branch of the REQUITE project conducted at the National Cancer Institute in Milan. Semi-structured interviews were conducted within one month from the end of radiotherapy treatment by two radiation oncologists and a radiotherapy technician previously trained by a clinical psychologist with experience in the oncology field.

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REQUITE (validating pREdictive models and biomarkers of radiotherapy toxicity to reduce side effects and improve QUalITy of lifE in cancer survivors) is an international prospective cohort study. The purpose of this project was to analyse a cohort of patients recruited into REQUITE using a deep learning algorithm to identify patient-specific features associated with the development of toxicity, and test the approach by attempting to validate previously published genetic risk factors. The study involved REQUITE prostate cancer patients treated with external beam radiotherapy who had complete 2-year follow-up.

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Predicting which patients will develop adverse reactions to radiotherapy is important for personalised treatment. Prediction will require an algorithm or nomogram combining clinical and biological data. The radiation-induced lymphocyte apoptosis (RILA) assay is the leading candidate as a biological predictor of radiotherapy toxicity.

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Radiation biology and oncology in the genomic era.

Br J Radiol

November 2018

6 Departments of Radiation Oncology, Genetics and Genomic Sciences, and Dermatology, Icahn School of Medicine at Mount Sinai, New York, NY , USA.

Article Synopsis
  • Radiobiology research is enhancing our understanding of how genetics influence radiosensitivity, aiming to improve precision radiation oncology through genomics.
  • This field recognizes that radiosensitivity is inherited and varies across individuals, involving both significant rare mutations and numerous common genetic variants.
  • The Radiogenomics Consortium aims to harmonize data from large patient cohorts to identify new genes affecting radiosensitivity, ultimately helping to refine treatment approaches and clinical decision-making.
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