Evidence map›Paper›PMID 28727543›Full record

ArticleRadiology2018

Non-Small Cell Lung Cancer Radiogenomics Map Identifies Relationships between Molecular and Imaging Phenotypes with Prognostic Implications.

Mu Zhou, Ann Leung, Sebastian Echegaray, Andrew Gentles, Joseph B Shrager, Kristin C Jensen, Gerald J Berry, Sylvia K Plevritis, Daniel L Rubin, Sandy Napel and 1 more

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Radiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 119 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
119citing papers in PubMed, 1 pooled it
13.1field-weighted citation impact, top 1% 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

119 citing papers in PubMed, 1 synthesis or guideline pooled it, 192 citations in OpenAlex.

  1. Pooled it
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  14. Imaging genomics of cancer: a bibliometric analysis and review.Cancer imaging : the official publication of the International Cancer Imaging Society · 2025
    Review
  15. MVASA-HGN: multi-view adaptive semantic-aware heterogeneous graph network forQuantitative imaging in medicine and surgery · 2025
    Article
  16. Review
  17. Article
  18. Article
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  20. Article

59 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 1 institution in 1 country.

Mu ZhouFrom the Stanford Center for Biomedical Informatics Research, Department of Medicine (M.Z., O.G.), Department of Radiology (A.L., S.E., A.G., S.K.P., D.L.R., S.N.), Division of Thoracic Surgery, Department of Cardiothoracic Surgery (J.B.S.), and Department of Pathology (K.C.J., G.J.B.), Stanford University, 1265 Welch Rd, Stanford, CA 94305-5479.
Ann LeungFrom the Stanford Center for Biomedical Informatics Research, Department of Medicine (M.Z., O.G.), Department of Radiology (A.L., S.E., A.G., S.K.P., D.L.R., S.N.), Division of Thoracic Surgery, Department of Cardiothoracic Surgery (J.B.S.), and Department of Pathology (K.C.J., G.J.B.), Stanford University, 1265 Welch Rd, Stanford, CA 94305-5479.
Sebastian EchegarayFrom the Stanford Center for Biomedical Informatics Research, Department of Medicine (M.Z., O.G.), Department of Radiology (A.L., S.E., A.G., S.K.P., D.L.R., S.N.), Division of Thoracic Surgery, Department of Cardiothoracic Surgery (J.B.S.), and Department of Pathology (K.C.J., G.J.B.), Stanford University, 1265 Welch Rd, Stanford, CA 94305-5479.
Andrew GentlesFrom the Stanford Center for Biomedical Informatics Research, Department of Medicine (M.Z., O.G.), Department of Radiology (A.L., S.E., A.G., S.K.P., D.L.R., S.N.), Division of Thoracic Surgery, Department of Cardiothoracic Surgery (J.B.S.), and Department of Pathology (K.C.J., G.J.B.), Stanford University, 1265 Welch Rd, Stanford, CA 94305-5479.
Joseph B ShragerFrom the Stanford Center for Biomedical Informatics Research, Department of Medicine (M.Z., O.G.), Department of Radiology (A.L., S.E., A.G., S.K.P., D.L.R., S.N.), Division of Thoracic Surgery, Department of Cardiothoracic Surgery (J.B.S.), and Department of Pathology (K.C.J., G.J.B.), Stanford University, 1265 Welch Rd, Stanford, CA 94305-5479.
Kristin C JensenFrom the Stanford Center for Biomedical Informatics Research, Department of Medicine (M.Z., O.G.), Department of Radiology (A.L., S.E., A.G., S.K.P., D.L.R., S.N.), Division of Thoracic Surgery, Department of Cardiothoracic Surgery (J.B.S.), and Department of Pathology (K.C.J., G.J.B.), Stanford University, 1265 Welch Rd, Stanford, CA 94305-5479.
Gerald J BerryFrom the Stanford Center for Biomedical Informatics Research, Department of Medicine (M.Z., O.G.), Department of Radiology (A.L., S.E., A.G., S.K.P., D.L.R., S.N.), Division of Thoracic Surgery, Department of Cardiothoracic Surgery (J.B.S.), and Department of Pathology (K.C.J., G.J.B.), Stanford University, 1265 Welch Rd, Stanford, CA 94305-5479.
Sylvia K PlevritisFrom the Stanford Center for Biomedical Informatics Research, Department of Medicine (M.Z., O.G.), Department of Radiology (A.L., S.E., A.G., S.K.P., D.L.R., S.N.), Division of Thoracic Surgery, Department of Cardiothoracic Surgery (J.B.S.), and Department of Pathology (K.C.J., G.J.B.), Stanford University, 1265 Welch Rd, Stanford, CA 94305-5479.
Daniel L RubinFrom the Stanford Center for Biomedical Informatics Research, Department of Medicine (M.Z., O.G.), Department of Radiology (A.L., S.E., A.G., S.K.P., D.L.R., S.N.), Division of Thoracic Surgery, Department of Cardiothoracic Surgery (J.B.S.), and Department of Pathology (K.C.J., G.J.B.), Stanford University, 1265 Welch Rd, Stanford, CA 94305-5479.
Sandy NapelFrom the Stanford Center for Biomedical Informatics Research, Department of Medicine (M.Z., O.G.), Department of Radiology (A.L., S.E., A.G., S.K.P., D.L.R., S.N.), Division of Thoracic Surgery, Department of Cardiothoracic Surgery (J.B.S.), and Department of Pathology (K.C.J., G.J.B.), Stanford University, 1265 Welch Rd, Stanford, CA 94305-5479.
Olivier GevaertFrom the Stanford Center for Biomedical Informatics Research, Department of Medicine (M.Z., O.G.), Department of Radiology (A.L., S.E., A.G., S.K.P., D.L.R., S.N.), Division of Thoracic Surgery, Department of Cardiothoracic Surgery (J.B.S.), and Department of Pathology (K.C.J., G.J.B.), Stanford University, 1265 Welch Rd, Stanford, CA 94305-5479.ORCID 0000-0002-9965-5466
Stanford University · US

Funding

Qualification and Deployment of Imaging Biomarkers of Cancer Treatment ResponseU01CA190214 · NCI · STANFORD UNIVERSITY · PI RUBIN, DANIEL L · 2015 to 2020
$3.1M
Tools for Linking and Mining image and Genomic Data in Non-Small Cell Lung CancerR01CA160251 · NCI · STANFORD UNIVERSITY · PI NAPEL, SANDY A., PLEVRITIS, SYLVIA KATINA · 2011 to 2015
$2.9M
Computing, Optimizing, and Evaluating Quantitative Cancer Imaging BiomarkersU01CA187947 · NCI · STANFORD UNIVERSITY · PI NAPEL, SANDY A., RUBIN, DANIEL L · 2015 to 2019
$2.9M
Radiogenomics Framework for Non-Invasive Personalized MedicineR01EB020527 · NIBIB · STANFORD UNIVERSITY · PI GEVAERT, OLIVIER · 2015 to 2018
$2.3M
NCI NIH HHS R01 CA160251NCI NIH HHS U01 CA187947NCI NIH HHS U01 CA190214NIBIB NIH HHS R01 EB020527
6 · The paper itself

Abstract

Purpose To create a radiogenomic map linking computed tomographic (CT) image features and gene expression profiles generated by RNA sequencing for patients with non-small cell lung cancer (NSCLC). Materials and Methods A cohort of 113 patients with NSCLC diagnosed between April 2008 and September 2014 who had preoperative CT data and tumor tissue available was studied. For each tumor, a thoracic radiologist recorded 87 semantic image features, selected to reflect radiologic characteristics of nodule shape, margin, texture, tumor environment, and overall lung characteristics. Next, total RNA was extracted from the tissue and analyzed with RNA sequencing technology. Ten highly coexpressed gene clusters, termed metagenes, were identified, validated in publicly available gene-expression cohorts, and correlated with prognosis. Next, a radiogenomics map was built that linked semantic image features to metagenes by using the t statistic and the Spearman correlation metric with multiple testing correction. Results RNA sequencing analysis resulted in 10 metagenes that capture a variety of molecular pathways, including the epidermal growth factor (EGF) pathway. A radiogenomic map was created with 32 statistically significant correlations between semantic image features and metagenes. For example, nodule attenuation and margins are associated with the late cell-cycle genes, and a metagene that represents the EGF pathway was significantly correlated with the presence of ground-glass opacity and irregular nodules or nodules with poorly defined margins. Conclusion Radiogenomic analysis of NSCLC showed multiple associations between semantic image features and metagenes that represented canonical molecular pathways, and it can result in noninvasive identification of molecular properties of NSCLC. Online supplemental material is available for this article.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsAgedAged, 80 and overErbB ReceptorsFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGenomicsHumansMaleMetagenomeMiddle AgedMolecular ImagingRNA, MessengerSignal TransductionErbB ReceptorsRNA, Messenger

Identifiers

PMID28727543
PMCPMC5749594
OpenAlexW2736731826

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.