Evidence map›Paper›PMID 24441285›Full record

SynthesisCancer discovery2014

Radiogenomics: using genetics to identify cancer patients at risk for development of adverse effects following radiotherapy.

Sarah L Kerns, Harry Ostrer, Barry S Rosenstein

Abstract readMeta-AnalysisReview
In one paragraph

Synthesis in Cancer discovery, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

53 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. 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 · 2023
    Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Machine learning applications in radiation oncology.Physics and imaging in radiation oncology · 2021
    Review
  19. Liquid biopsy in NSCLC: a new challenge in radiation therapy.Exploration of targeted anti-tumor therapy · 2021
    Review
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Sarah L KernsDepartments of 1Radiation Oncology and 2Dermatology, Preventive Medicine and Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai; 3Department of Radiation Oncology, New York University School of Medicine, New York; Departments of 4Pathology, and 5Genetics and Pediatrics, Albert Einstein College of Medicine, Bronx, New York.
Harry Ostrer
Barry S Rosenstein

Funding

WORD PROCESSORP30CA013330 · NCI · YESHIVA UNIVERSITY · PI STEVEN C. ALMO · 1985 to 2026
$111.2M
Genome-Wide Study to Identify SNPs and CNPs Associated with Radiation InjuryR01CA134444 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI OSTRER, HARRY, ROSENSTEIN, BARRY S · 2009 to 2012
$2.3M
NCI NIH HHS 1R01CA134444NCI NIH HHS P30 CA013330NCI NIH HHS R01 CA134444
6 · The paper itself

Abstract

unlabelledNormal-tissue adverse effects following radiotherapy are common and significantly affect quality of life. These effects cannot be accounted for by dosimetric, treatment, or demographic factors alone, and evidence suggests that common genetic variants are associated with radiotherapy adverse effects. The field of radiogenomics has evolved to identify such genetic risk factors. Radiogenomics has two goals: (i) to develop an assay to predict which patients with cancer are most likely to develop radiation injuries resulting from radiotherapy, and (ii) to obtain information about the molecular pathways responsible for radiation-induced normal-tissue toxicities. This review summarizes the history of the field and current research. SIGNIFICANCE: A single-nucleotide polymorphism–based predictive assay could be used, along with clinical and treatment factors, to estimate the risk that a patient with cancer will develop adverse effects from radiotherapy. Such an assay could be used to personalize therapy and improve quality of life for patients with cancer.

Indexed as

GenomicsBiomarkersGenome-Wide Association StudyHumansNeoplasmsPolymorphism, Single NucleotidePrognosisRadiation InjuriesRadiation ToleranceRadiotherapyBiomarkers

Identifiers

PMID24441285
PMCPMC3946319

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.