Evidence map›Paper›PMID 26504789›Full record

ReviewBioMed research international2015

Genomic and Histopathological Tissue Biomarkers That Predict Radiotherapy Response in Localised Prostate Cancer.

Anna Wilkins, David Dearnaley, Navita Somaiah

Abstract readReview
In one paragraph

Review in BioMed research international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–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

8 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Prognostic Value of Protocadherin10 (PCDH10) Methylation in Serum of Prostate Cancer Patients.Medical science monitor : international medical journal of experimental and clinical research · 2016
    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

3 authors.

Anna WilkinsDivision of Clinical Studies, The Institute of Cancer Research, London SM2 5NG, UK ; Division of Radiotherapy and Imaging, The Institute of Cancer Research, London SM2 5NG, UK.
David DearnaleyDivision of Radiotherapy and Imaging, The Institute of Cancer Research, London SM2 5NG, UK.
Navita SomaiahDivision of Radiotherapy and Imaging, The Institute of Cancer Research, London SM2 5NG, UK ; Division of Cancer Biology, The Institute of Cancer Research, London SM2 5NG, UK.

Funding

Cancer Research UK 10588Cancer Research UK 12518Cancer Research UK 19727Cancer Research UK 7253Cancer Research UK A19727
6 · The paper itself

Abstract

Localised prostate cancer, in particular, intermediate risk disease, has varied survival outcomes that cannot be predicted accurately using current clinical risk factors. External beam radiotherapy (EBRT) is one of the standard curative treatment options for localised disease and its efficacy is related to wide ranging aspects of tumour biology. Histopathological techniques including immunohistochemistry and a variety of genomic assays have been used to identify biomarkers of tumour proliferation, cell cycle checkpoints, hypoxia, DNA repair, apoptosis, and androgen synthesis, which predict response to radiotherapy. Global measures of genomic instability also show exciting capacity to predict survival outcomes following EBRT. There is also an urgent clinical need for biomarkers to predict the radiotherapy fraction sensitivity of different prostate tumours and preclinical studies point to possible candidates. Finally, the increased resolution of next generation sequencing (NGS) is likely to enable yet more precise molecular predictions of radiotherapy response and fraction sensitivity.

Indexed as

Biomarkers, TumorEvidence-Based MedicineGenetic MarkersGenetic Predisposition to DiseaseHumansMaleNeoplasm ProteinsPolymorphism, Single NucleotidePrevalencePrognosisProstatic NeoplasmsRadiotherapy, ConformalRisk AssessmentTreatment OutcomeBiomarkers, TumorGenetic MarkersNeoplasm Proteins

Identifiers

PMID26504789
PMCPMC4609338

What OpenQuestion holds

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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.