Evidence map›Paper›PMID 28786009›Full record

ArticleEuropean radiology2018

Prognostic value and molecular correlates of a CT image-based quantitative pleural contact index in early stage NSCLC.

Juheon Lee, Yi Cui, Xiaoli Sun, Bailiang Li, Jia Wu, Dengwang Li, Michael F Gensheimer, Billy W Loo, Maximilian Diehn, Ruijiang Li

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PubMed Full text at PMC Publisher
In one paragraph

Article in European radiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
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  4. Article
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  8. Radiomics and radiogenomics for precision radiotherapy.Journal of radiation research · 2018
    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

10 authors.

Juheon LeeDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, 94305, USA.
Yi CuiDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, 94305, USA.
Xiaoli SunRadiotherapy Department, the First Affiliated Hospital of Zhejiang University, Hangzhou, Zhejiang, China.
Bailiang LiDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, 94305, USA.
Jia WuDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, 94305, USA.
Dengwang LiDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, 94305, USA.
Michael F GensheimerDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, 94305, USA.
Billy W LooDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, 94305, USA.
Maximilian DiehnDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, 94305, USA.
Ruijiang LiDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, 94305, USA. rli2@stanford.edu.

Funding

MRI-Based Radiation Therapy Treatment PlanningR01CA193730 · NCI · STANFORD UNIVERSITY · PI LI, RUIJIANG · 2016 to 2020
$1.8M
Real-Time Volumetric Imaging for Lung Cancer RadiotherapyR00CA166186 · NCI · STANFORD UNIVERSITY · PI LI, RUIJIANG · 2014 to 2016
$719k
NCI NIH HHS R00 CA166186NCI NIH HHS R01 CA193730
6 · The paper itself

Abstract

purposeTo evaluate the prognostic value and molecular basis of a CT-derived pleural contact index (PCI) in early stage non-small cell lung cancer (NSCLC). EXPERIMENTAL

designWe retrospectively analysed seven NSCLC cohorts. A quantitative PCI was defined on CT as the length of tumour-pleura interface normalised by tumour diameter. We evaluated the prognostic value of PCI in a discovery cohort (n = 117) and tested in an external cohort (n = 88) of stage I NSCLC. Additionally, we identified the molecular correlates and built a gene expression-based surrogate of PCI using another cohort of 89 patients. To further evaluate the prognostic relevance, we used four datasets totalling 775 stage I patients with publically available gene expression data and linked survival information.

resultsAt a cutoff of 0.8, PCI stratified patients for overall survival in both imaging cohorts (log-rank p = 0.0076, 0.0304). Extracellular matrix (ECM) remodelling was enriched among genes associated with PCI (p = 0.0003). The genomic surrogate of PCI remained an independent predictor of overall survival in the gene expression cohorts (hazard ratio: 1.46, p = 0.0007) adjusting for age, gender, and tumour stage.

conclusionsCT-derived pleural contact index is associated with ECM remodelling and may serve as a noninvasive prognostic marker in early stage NSCLC. KEY POINTS: • A quantitative pleural contact index (PCI) predicts survival in early stage NSCLC. • PCI is associated with extracellular matrix organisation and collagen catabolic process. • A multi-gene surrogate of PCI is an independent predictor of survival. • PCI can be used to noninvasively identify patients with poor prognosis.

Indexed as

Tomography, X-Ray ComputedAdultAgedAged, 80 and overCarcinoma, Non-Small-Cell LungFemaleHumansLung NeoplasmsMaleMiddle AgedNeoplasm StagingPleuraPrognosisProportional Hazards ModelsRetrospective StudiesImaging biomarkerLung cancerPleural contactPrognosisRadiogenomics

Identifiers

PMID28786009
PMCPMC5741526

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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.