Evidence map›Paper›PMID 28529815›Full record

ArticleQuantitative biology (Beijing, China)2016

"RADIOTRANSCRIPTOMICS": A synergy of imaging and transcriptomics in clinical assessment.

Amal Katrib, William Hsu, Alex Bui, Yi Xing

Abstract read
In one paragraph

Article in Quantitative biology (Beijing, China), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Towards early detection and disease interception of COPD across the lifespan.European respiratory review : an official journal of the European Respiratory Society · 2025
    Review
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  11. Sarcoidosis Phenotypes.Open respiratory archives
    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

4 authors.

Amal KatribDepartment of Microbiology, Immunology, and Molecular Genetics, University of California, Los Angeles, Los Angeles, CA 90095, USA.
William HsuDepartment of Radiological Sciences, University of California, Los Angeles, Los Angeles, CA 90095, USA.
Alex BuiDepartment of Radiological Sciences, University of California, Los Angeles, Los Angeles, CA 90095, USA.
Yi XingDepartment of Microbiology, Immunology, and Molecular Genetics, University of California, Los Angeles, Los Angeles, CA 90095, USA.

Funding

Genomic and functional analysis of transcriptome changes in Huntington's DiseaseR01NS076631 · NINDS · UNIVERSITY OF IOWA · PI DAVIDSON, BEVERLY L., ROSS, CHRISTOPHER A · 2013 to 2017
$3.2M
A Predictive Prognostic Model for Glioblastoma MultiformeR01CA157553 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BUI, ALEX · 2012 to 2016
$2.2M
Integrative Analysis of Public RNA-seq RepositoriesR01GM105431 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ZHOU, XIANGHONG JASMINE · 2013 to 2016
$1.3M
Biomedical Big Data Training GrantT32CA201160 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI PELLEGRINI, MATTEO · 2015 to 2015
$264k
NCI NIH HHS R01 CA157553NCI NIH HHS T32 CA201160NIGMS NIH HHS R01 GM105431NINDS NIH HHS R01 NS076631
6 · The paper itself

Abstract

Recent advances in quantitative imaging and "omics" technology have generated a wealth of mineable biological "big data". With the push towards a P4 "predictive, preventive, personalized, and participatory" approach to medicine, researchers began integrating complementary tools to further tune existing diagnostic and therapeutic models. The field of radiogenomics has long pioneered such multidisciplinary investigations in neuroscience and oncology, correlating genotypic and phenotypic signatures to study structural and functional changes in relation to altered molecular behavior. Given the innate dynamic nature of complex disorders and the role of environmental and epigenetic factors in pathogenesis, the transcriptome can further elucidate serial modifications undetected at the genome level. We therefore propose "radiotranscriptomics" as a new member of the P4 medicine initiative, combining transcriptome information, including gene expression and isoform variation, and quantitative image annotations.

Indexed as

genomicsimage genomicsprecision medicinequantitative imagingradiogenomicsRNA-seqsystems biologytranscriptomics

Identifiers

PMID28529815
PMCPMC5436905

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.