Evidence map›Paper›PMID 26828133›Full record

ReviewCancer letters2016

Comprehensive molecular tumor profiling in radiation oncology: How it could be used for precision medicine.

Iris Eke, Adeola Y Makinde, Molykutty J Aryankalayil, Mansoor M Ahmed, C Norman Coleman

Open access · greenAbstract readReview
In one paragraph

Review in Cancer letters, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

10 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Radiation-induced Adaptive Response: New Potential for Cancer Treatment.Clinical cancer research : an official journal of the American Association for Cancer Research · 2020
    Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. 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

5 authors at 2 institutions in 1 country.

Iris EkeRadiation Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA. Electronic address: iris.eke@nih.gov.
Adeola Y MakindeRadiation Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Molykutty J AryankalayilRadiation Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Mansoor M AhmedRadiation Research Program, National Cancer Institute, National Institutes of Health, Rockville, MD 20850, USA.
C Norman ColemanRadiation Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA; Radiation Research Program, National Cancer Institute, National Institutes of Health, Rockville, MD 20850, USA.
National Institutes of Health · USNational Cancer Institute · US

Funding

Radiation-induced molecular targetsZIABC010670 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI COLEMAN, NORMAN · 2009 to 2024
$17.3M
Intramural NIH HHS Z99 CA999999
6 · The paper itself

Abstract

New technologies enabling the analysis of various molecules, including DNA, RNA, proteins and small metabolites, can aid in understanding the complex molecular processes in cancer cells. In particular, for the use of novel targeted therapeutics, elucidation of the mechanisms leading to cell death or survival is crucial to eliminate tumor resistance and optimize therapeutic efficacy. While some techniques, such as genomic analysis for identifying specific gene mutations or epigenetic testing of promoter methylation, are already in clinical use, other "omics-based" assays are still evolving. Here, we provide an overview of the current status of molecular profiling methods, including promising research strategies, as well as possible challenges, and their emerging role in radiation oncology.

Indexed as

Antineoplastic AgentsBiomarkers, TumorDrug Resistance, NeoplasmGene Expression ProfilingGenetic Predisposition to DiseaseGenomicsHumansMetabolomicsNeoplasmsPatient SelectionPhenotypePrecision MedicinePredictive Value of TestsProteomicsRadiation OncologyRadiation ToleranceAntineoplastic AgentsBiomarkers, TumorMolecular profilingPrecision medicineRadiation oncologyTargeted therapy

Identifiers

PMID26828133
PMCPMC4967037
OpenAlexW2263689013

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.