Literature DB >> 28786009

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

Juheon Lee1, Yi Cui1, Xiaoli Sun2, Bailiang Li1, Jia Wu1, Dengwang Li1,3, Michael F Gensheimer1, Billy W Loo1,4, Maximilian Diehn1,4,5, Ruijiang Li6,7.   

Abstract

PURPOSE: To 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
DESIGN: We 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.
RESULTS: At 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.
CONCLUSIONS: CT-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.

Entities:  

Keywords:  Imaging biomarker; Lung cancer; Pleural contact; Prognosis; Radiogenomics

Mesh:

Year:  2017        PMID: 28786009      PMCID: PMC5741526          DOI: 10.1007/s00330-017-4996-4

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  50 in total

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6.  Diagnosis of multiple cancer types by shrunken centroids of gene expression.

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Journal:  Eur Radiol       Date:  2015-01-11       Impact factor: 5.315

8.  Visceral pleural invasion: pathologic criteria and use of elastic stains: proposal for the 7th edition of the TNM classification for lung cancer.

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Review 2.  Integrated imaging and molecular analysis to decipher tumor microenvironment in the era of immunotherapy.

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Review 4.  Artificial intelligence-assisted decision making for prognosis and drug efficacy prediction in lung cancer patients: a narrative review.

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5.  Selection of external beam radiotherapy approaches for precise and accurate cancer treatment.

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