Evidence map›Paper›PMID 29732009›Full record

ReviewOncotarget2018

Non-invasive tumor genotyping using radiogenomic biomarkers, a systematic review and oncology-wide pathway analysis.

Robin W Jansen, Paul van Amstel, Roland M Martens, Irsan E Kooi, Pieter Wesseling, Adrianus J de Langen, Catharina W Menke-Van der Houven van Oordt, Bernard H E Jansen, Annette C Moll, Josephine C Dorsman and 3 more

Open access · diamondAbstract readReview
In one paragraph

Review in Oncotarget, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 2 pooled it
6.1field-weighted citation impact, top 3% 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

43 citing papers in PubMed, 2 syntheses or guidelines pooled it, 62 citations in OpenAlex.

  1. TCGA-TCIA Impact on Radiogenomics Cancer Research: A Systematic Review.International journal of molecular sciences · 2019
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  16. Omics Technologies Improving Breast Cancer Research and Diagnostics.International journal of molecular sciences · 2023
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  19. Quantitative imaging in medicine and surgery · 2023
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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

13 authors at 2 institutions in 1 country.

Robin W JansenDepartment of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands.
Paul van AmstelDepartment of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands.
Roland M MartensDepartment of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands.
Irsan E KooiDepartment of Clinical Genetics, VU University Medical Center, Amsterdam, The Netherlands.
Pieter WesselingDepartment of Pathology, VU University Medical Center, Amsterdam, The Netherlands.
Adrianus J de LangenDepartment of Respiratory Diseases, VU University Medical Center, Amsterdam, The Netherlands.
Catharina W Menke-Van der Houven van OordtDepartment of Medical Oncology, VU University Medical Center, Amsterdam, The Netherlands.
Bernard H E JansenDepartment of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands.
Annette C MollDepartment of Ophthalmology, VU University Medical Center, Amsterdam, The Netherlands.
Josephine C DorsmanDepartment of Clinical Genetics, VU University Medical Center, Amsterdam, The Netherlands.
Jonas A CastelijnsDepartment of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands.
Pim de GraafDepartment of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands.
Marcus C de JongDepartment of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands.
Amsterdam UMC Location VUmc · NLPrincess Máxima Center · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With targeted treatments playing an increasing role in oncology, the need arises for fast non-invasive genotyping in clinical practice. Radiogenomics is a rapidly evolving field of research aimed at identifying imaging biomarkers useful for non-invasive genotyping. Radiogenomic genotyping has the advantage that it can capture tumor heterogeneity, can be performed repeatedly for treatment monitoring, and can be performed in malignancies for which biopsy is not available. In this systematic review of 187 included articles, we compiled a database of radiogenomic associations and unraveled networks of imaging groups and gene pathways oncology-wide. Results indicated that ill-defined tumor margins and tumor heterogeneity can potentially be used as imaging biomarkers for 1p/19q codeletion in glioma, relevant for prognosis and disease profiling. In non-small cell lung cancer, FDG-PET uptake and CT-ground-glass-opacity features were associated with treatment-informing traits including

Indexed as

biomarkergenotypingnon-invasiveprecision medicineradiogenomics

Identifiers

PMID29732009
PMCPMC5929452
OpenAlexW2797022893

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.