Evidence map›Paper›PMID 26510858›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2016

Patients with a High Polygenic Risk of Breast Cancer do not have An Increased Risk of Radiotherapy Toxicity.

Leila Dorling, Gillian C Barnett, Kyriaki Michailidou, Charlotte E Coles, Neil G Burnet, John Yarnold, Rebecca M Elliott, Alison M Dunning, Paul D P Pharoah, Catharine M West

Open access · bronzeAbstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 13% of its field
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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. The Implications of Genetic Testing on Radiation Therapy Decisions: A Guide for Radiation Oncologists.International journal of radiation oncology, biology, physics · 2019
    Review
  7. Radiation biology and oncology in the genomic era.The British journal of radiology · 2018
    Review
  8. Review
  9. Article
  10. Review
  11. Article
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

10 authors at 4 institutions in 2 countries.

Leila DorlingCentre for Cancer Genetic Epidemiology, University of Cambridge, Strangeways Research Laboratory, Cambridge, United Kingdom. ld429@medschl.cam.ac.uk.
Gillian C BarnettOncology Centre, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom.
Kyriaki MichailidouCentre for Cancer Genetic Epidemiology, University of Cambridge, Strangeways Research Laboratory, Cambridge, United Kingdom. Department of Electron Microscopy and Molecular Pathology, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus.
Charlotte E ColesOncology Centre, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom.
Neil G BurnetUniversity of Cambridge Department of Oncology, Oncology Centre, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom.
John YarnoldInstitute of Cancer Research and Royal Marsden NHS Foundation Trust, London, United Kingdom.
Rebecca M ElliottInstitute of Cancer Sciences, University of Manchester, Manchester Academic Health Science Centre, Christie Hospital NHS Foundation Trust, Manchester, United Kingdom.
Alison M DunningCentre for Cancer Genetic Epidemiology, University of Cambridge, Strangeways Research Laboratory, Cambridge, United Kingdom.
Paul D P PharoahCentre for Cancer Genetic Epidemiology, University of Cambridge, Strangeways Research Laboratory, Cambridge, United Kingdom.
Catharine M WestInstitute of Cancer Sciences, University of Manchester, Manchester Academic Health Science Centre, Christie Hospital NHS Foundation Trust, Manchester, United Kingdom.
Cancer Research UK Cambridge Center · GBCambridge University Hospitals NHS Foundation Trust · GBManchester Academic Health Science Centre · GBRoyal Marsden NHS Foundation Trust · GB

Funding

Cancer Research UK 16561Cancer Research UK 16565Cancer Research UK 18504Cancer Research UK 19727Cancer Research UK A11728Cancer Research UK C1094/A18504Cancer Research UK C490/A16561Medical Research Council
6 · The paper itself

Abstract

purposeIt has been hypothesized that increased predisposition to breast cancer may correlate with radiosensitivity, and thus increased risk of toxicity following breast irradiation. This study investigated the relationship between common breast cancer risk variants and radiotherapy toxicity. EXPERIMENTAL

designSNP genotypes were determined in female breast cancer patients from the RAPPER (Radiogenomics: Assessment of polymorphisms for predicting the effects of radiotherapy) study using the Illumina CytoSNP12 genome-wide array. A further 15,582,449 genotypes were imputed using the 1000 Genomes Project reference panel. Patient (n = 1,160) polygenic risk scores were generated by summing risk-allele dosages, both unweighted and weighted by published effect sizes for breast cancer risk. Regression models were used to test associations of individual variants and polygenic risk scores with acute and late toxicity phenotypes (telangiectasia, breast edema, photographically assessed shrinkage, induration, pigmentation, breast pain, breast sensitivity, and overall toxicity).

resultsGenotypes of 90 confirmed breast cancer risk variants were accurately determined and polygenic risk scores were approximately normally distributed. Variant rs6964587 was associated with increased breast edema 5 years following radiotherapy (Beta, 0.22; 95% confidence interval, 0.09-0.34; P = 7 × 10(-4)). No other associations were found between individual variants or the unweighted (P > 0.17) or weighted (P > 0.13) polygenic risk score and radiotherapy toxicity. This study had >87% power to detect an association between the polygenic risk score (relative risk > 1.1) and toxicity.

conclusionsCancer patients with a high polygenic predisposition to breast cancer do not have an increased risk of radiotherapy toxicity up to 5 years following radiotherapy but individual variants may increase risk.

Indexed as

Genetic Predisposition to DiseaseAllelesBreast NeoplasmsCohort StudiesCombined Modality TherapyFemaleGenotypeHumansOdds RatioPolymorphism, Single NucleotideRadiation ToleranceRiskTumor Burden

Identifiers

PMID26510858
PMCPMC4751620
OpenAlexW1857738476

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.