ReviewSeminars in radiation oncology2017
Radiogenomics: Identification of Genomic Predictors for Radiation Toxicity.
Review in Seminars in radiation oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
30 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Potential Single Nucleotide Polymorphisms markers for radiation dermatitis in head and neck cancer patients: a meta-analysis.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2024Pooled it
- Inclusion of dosimetric data as covariates in toxicity-related radiogenomic studies : A systematic review.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2018Pooled it
- Article
- Consequences of ionizing radiation exposure to the cardiovascular system.Nature reviews. Cardiology · 2024Review
- Molecular Profile of Important Genes for Radiogenomics in the Amazon Indigenous Population.Journal of personalized medicine · 2024Article
- A genomic score to predict local control among patients with brain metastases managed with radiation.Neuro-oncology · 2023Article
- Predicting the germline dependence of hematuria risk in prostate cancer radiotherapy patients.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2023Article
- Emerging Roles of Circulating Tumor DNA for Increased Precision and Personalization in Radiation Oncology.Seminars in radiation oncology · 2023Review
- Germline genetic biomarkers to stratify patients for personalized radiation treatment.Journal of translational medicine · 2022Article
- Immunomodulation by radiotherapy in tumour control and normal tissue toxicity.Nature reviews. Immunology · 2022Review
- Gene alterations as predictors of radiation-induced toxicity in head and neck squamous cell carcinoma.Journal of translational medicine · 2021Article
- Ionizing radiation-induced circulatory and metabolic diseases.Environment international · 2021Review
- Biological Pathways Associated With the Development of Pulmonary Toxicities in Mesothelioma Patients Treated With Radical Hemithoracic Radiation Therapy: A Preliminary Study.Frontiers in oncology · 2021Article
- Harnessing genome-wide association studies to minimize adverse radiation-induced side effects.Radiation oncology journal · 2020Article
- Carbon Ion Radiobiology.Cancers · 2020Review
- Genomics models in radiotherapy: From mechanistic to machine learning.Medical physics · 2020Review
- Use of genomics to balance cure and complications.Nature reviews. Clinical oncology · 2020Article
- Development and Validation of a Comprehensive Multivariate Dosimetric Model for Predicting Late Genitourinary Toxicity Following Prostate Cancer Stereotactic Body Radiotherapy.Frontiers in oncology · 2020Article
- Radiogenomics of rectal adenocarcinoma in the era of precision medicine: A pilot study of associations between qualitative and quantitative MRI imaging features and genetic mutations.European journal of radiology · 2019Article
- Study Progress of Radiomics With Machine Learning for Precision Medicine in Bladder Cancer Management.Frontiers in oncology · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
The overall goal of radiogenomics is the identification of genomic markers that are predictive for the development of adverse effects resulting from cancer treatment with radiation. The principal rationale for a focus on toxicity in radiogenomics is that for many patients treated with radiation, especially individuals diagnosed with early-stage cancers, the survival rates are high, and therefore a substantial number of people will live for a significant period of time beyond treatment. However, many of these patients could suffer from debilitating complications resulting from radiotherapy. Work in radiogenomics has greatly benefited from creation of the Radiogenomics Consortium (RGC) that includes investigators at multiple institutions located in a variety of countries. The common goal of the RGC membership is to share biospecimens and data so as to achieve large-scale studies with increased statistical power to enable identification of relevant genomic markers. A major aim of research in radiogenomics is the development of a predictive instrument to enable identification of people who are at greatest risk for adverse effects resulting from cancer treatment using radiation. It is anticipated that creation of a predictive assay characterized by a high level of sensitivity and specificity will improve precision radiotherapy and assist patients and their physicians to select the optimal treatment for each individual.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.