ReviewClinical and translational radiation oncology2017
The role of Next-Generation Sequencing in tumoral radiosensitivity prediction.
Review in Clinical and translational radiation oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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
9 citing papers in PubMed.
- Article
- A Review: Multi-Omics Approach to Studying the Association between Ionizing Radiation Effects on Biological Aging.Biology · 2024Review
- Increased Radiosensitivity of Solid Tumors Harboring ATM and BRCA1/2 Mutations.Cancer research and treatment · 2022Article
- Review
- Genome-Wide DNA Alterations in X-Irradiated Human Gingiva Fibroblasts.International journal of molecular sciences · 2020Article
- Laser-driven radiation: Biomarkers for molecular imaging of high dose-rate effects.Medical physics · 2019Review
- Circulating Tumour Cells (CTC), Head and Neck Cancer and Radiotherapy; Future Perspectives.Cancers · 2019Review
- Significance of testing forJournal of thoracic disease · 2018Article
- Transcriptome Analysis of the Effects of X-Ray Radiotherapy on Non-small-cell Lung Cancer Using Next-generation Sequencing.In vivo (Athens, Greece)Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Technological advances have led to more precise radiation delivery, which has resulted in significant clinical gains. A better understanding of tumoral radiosensitivity is still needed to develop strategies and further personalize radiation treatments. Next-Generation Sequencing (NGS) and system biology have significantly transformed the field of oncology in the last two decades, but have only a few clinical applications in radiation oncology. This review describes the technical aspects and evolutions of NGS and discusses the latest clinical applications of genomics to predict tumoral radiosensitivity.
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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.