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European Radiology
Published in: European Radiology 2/2018

01-02-2018 | Computed Tomography

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

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

Published in: European Radiology | Issue 2/2018

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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.
Appendix
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Literature
1.
Siegel RL, Miller KD, Jemal A (2015) Cancer statistics, 2016. A Cancer Journal for Clinicians, CA
2.
3.
Bradley JD, El Naqa I, Drzymala RE, Trovo M, Jones G, Denning MD (2010) Stereotactic body radiation therapy for early-stage non-small-cell lung cancer: the pattern of failure is distant. Int J Radiat Oncol Biol Phys 77:1146–1150CrossRefPubMed
4.
Senthi S, Lagerwaard FJ, Haasbeek CJ, Slotman BJ, Senan S (2012) Patterns of disease recurrence after stereotactic ablative radiotherapy for early stage non-small-cell lung cancer: a retrospective analysis. Lancet Oncol 13:802–809CrossRefPubMed
5.
Neal JW, Gainor JF, Shaw AT (2015) Developing biomarker-specific end points in lung cancer clinical trials. Nat Rev Clin Oncol 12:135–146CrossRefPubMed
6.
7.
Friedl P, Alexander S (2011) Cancer invasion and the microenvironment: plasticity and reciprocity. Cell 147:992–1009CrossRefPubMed
8.
9.
Pickup MW, Mouw JK, Weaver VM (2014) The extracellular matrix modulates the hallmarks of cancer. EMBO reports:e201439246
10.
Paszek MJ, Zahir N, Johnson KR et al (2005) Tensional homeostasis and the malignant phenotype. Cancer Cell 8:241–254CrossRefPubMed
11.
12.
13.
Fraley SI, Feng YF, Krishnamurthy R et al (2010) A distinctive role for focal adhesion proteins in three-dimensional cell motility. Nat Cell Biol 12:598–U169CrossRefPubMedPubMedCentral
14.
Neri S, Yoshida J, Ishii G et al (2014) Prognostic impact of microscopic vessel invasion and visceral pleural invasion in non–small cell lung cancer: a retrospective analysis of 2657 patients. Ann Surg 260:383–388CrossRefPubMed
15.
Travis WD, Brambilla E, Rami-Porta R et al (2008) Visceral pleural invasion: pathologic criteria and use of elastic stains: proposal for the 7th edition of the TNM classification for lung cancer. J Thorac Oncol 3:1384–1390CrossRefPubMed
16.
Shimizu K, Yoshida J, Nagai K et al (2005) Visceral pleural invasion is an invasive and aggressive indicator of non-small cell lung cancer. J Thorac Cardiovasc Surg 130:160–165CrossRefPubMed
17.
Lakha S, Gomez JE, Flores RM, Wisnivesky JP (2014) Prognostic significance of visceral pleural involvement in early-stage lung cancer. CHEST J 146:1619–1626CrossRef
18.
Huang H, Wang T, Hu B, Pan C (2015) Visceral pleural invasion remains a size-independent prognostic factor in stage I non-small cell lung cancer. Ann Thorac Surg 99:1130–1139CrossRefPubMed
19.
Hsu J-S, Han I-T, Tsai T-H et al (2015) Pleural Tags on CT Scans to Predict Visceral Pleural Invasion of Non–Small Cell Lung Cancer That Does Not Abut the Pleura. Radiology 279:590–596CrossRefPubMed
20.
Ebara K, Takashima S, Jiang B et al (2015) Pleural invasion by peripheral lung cancer: prediction with three-dimensional CT. Acad Radiol 22:310–319CrossRefPubMed
21.
Aerts HJWL, Velazquez, ER, Leijenaar RTH, Parmar C, Grossmann P, Cavalho S, Bussink J, Monshouwer R, Haibe-Kains B, Rietveld D, Hoebers F, Rietbergen MM, Leemans R, Dekker A, Quackenbush J, Gillies RJ, Lambin P (2015) Data from NSCLC-Radiomics. Cancer Imaging Archive
22.
Aerts HJWL, Velazquez ER, Leijenaar RTH et al (2014) Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach. Nat Commun 5:4006PubMedPubMedCentral
23.
Clark K, Vendt B, Smith K et al (2013) The Cancer Imaging Archive (TCIA): maintaining and operating a public information repository. J Digit Imaging 26:1045–1057CrossRefPubMedPubMedCentral
24.
25.
Goswami CP, Nakshatri H (2013) PROGgene: gene expression based survival analysis web application for multiple cancers. J Clin Bioinform 3:1CrossRef
26.
Li C, Wong WH (2003) DNA-chip analyzer (dChip). In: Parmigiani G, Garrett E, Irizarry R, Zeger S, (eds) The Analysis of Gene Expression Data. Springer, 120–141
27.
Imai K, Minamiya Y, Ishiyama K et al (2013) Use of CT to Evaluate Pleural Invasion in Non–Small Cell Lung Cancer: Measurement of the Ratio of the Interface between Tumor and Neighboring Structures to Maximum Tumor Diameter. Radiology 267:619–626CrossRefPubMed
28.
Koch GG (1983) Intraclass correlation coefficient. Encycl Stat Sci 4
29.
Bland JM, Altman D (1986) Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 327:307–310CrossRef
30.
Park HS, Harder EM, Mancini BR, Decker RH (2015) Central versus Peripheral Tumor Location: Influence on Survival, Local Control, and Toxicity Following Stereotactic Body Radiotherapy for Primary Non–Small-Cell Lung Cancer. J Thorac Oncol 10:832–837CrossRefPubMed
31.
Tibshirani R, Hastie T, Narasimhan B, Chu G (2002) Diagnosis of multiple cancer types by shrunken centroids of gene expression. Proc Natl Acad Sci 99:6567–6572CrossRefPubMedPubMedCentral
32.
Huang DW, Sherman BT, Lempicki RA (2009) Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nat Protoc 4:44–57CrossRef
33.
Harrell FE, Lee KL, Califf RM, Pryor DB, Rosati RA (1984) Regression modelling strategies for improved prognostic prediction. Stat Med 3:143–152CrossRefPubMed
34.
Benjamini Y, Hochberg Y (1995) Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc Ser B (Methodological):289–300
35.
Pignon J-P, Tribodet H, Scagliotti GV et al (2008) Lung adjuvant cisplatin evaluation: a pooled analysis by the LACE Collaborative Group. J Clin Oncol 26:3552–3559CrossRefPubMed
36.
Strauss GM, Herndon JE, Maddaus MA et al (2008) Adjuvant paclitaxel plus carboplatin compared with observation in stage IB non–small-cell lung cancer: CALGB 9633 with the Cancer and Leukemia Group B, Radiation Therapy Oncology Group, and North Central Cancer Treatment Group Study Groups. J Clin Oncol 26:5043–5051CrossRefPubMedPubMedCentral
37.
Wang H, Schabath MB, Liu Y et al (2015) Semiquantitative computed tomography characteristics for lung adenocarcinoma and their association with lung cancer survival. Clin Lung Cancer 16:e141–e163CrossRefPubMedPubMedCentral
38.
Wang H, Schabath MB, Liu Y et al (2015) Association between computed tomographic features and kirsten rat sarcoma viral oncogene mutations in patients with stage i lung adenocarcinoma and their prognostic value. Clin Lung Cancer 12:00266–00261
39.
Hsu K-H, Chen K-C, Yang T-Y et al (2011) Epidermal growth factor receptor mutation status in stage I lung adenocarcinoma with different image patterns. J Thorac Oncol 6:1066–1072CrossRefPubMed
40.
Lee H-J, Kim YT, Kang CH et al (2013) Epidermal growth factor receptor mutation in lung adenocarcinomas: relationship with CT characteristics and histologic subtypes. Radiology 268:254–264CrossRefPubMed
41.
Rizzo S, Petrella F, Buscarino V et al (2016) CT radiogenomic characterization of EGFR, K-RAS, and ALK mutations in non-small cell lung cancer. Eur Radiol 26:32–42CrossRefPubMed
42.
Hasegawa M, Sakai F, Ishikawa R, Kimura F, Ishida H, Kobayashi K (2016) CT Features of Epidermal Growth Factor Receptor–Mutated Adenocarcinoma of the Lung: Comparison with Nonmutated Adenocarcinoma. J Thorac Oncol 11:819–826CrossRefPubMed
43.
Liu Y, Kim J, Qu F et al (2016) CT Features Associated with Epidermal Growth Factor Receptor Mutation Status in Patients with Lung Adenocarcinoma. Radiology 280:271–280CrossRefPubMedPubMedCentral
44.
Wang H, Schabath MB, Liu Y et al (2016) Clinical and CT characteristics of surgically resected lung adenocarcinomas harboring ALK rearrangements or EGFR mutations. Eur J Radiol 85:1934–1940CrossRefPubMedPubMedCentral
45.
Zhou J, Zheng J, Yu Z et al (2015) Comparative analysis of clinicoradiologic characteristics of lung adenocarcinomas with ALK rearrangements or EGFR mutations. Eur Radiol 25:1257–1266CrossRefPubMed
46.
Paz H, Pathak N, Yang J (2014) Invading one step at a time: the role of invadopodia in tumor metastasis. Oncogene 33:4193–4202CrossRefPubMed
47.
48.
Ganeshan B, Panayiotou E, Burnand K, Dizdarevic S, Miles K (2012) Tumour heterogeneity in non-small cell lung carcinoma assessed by CT texture analysis: a potential marker of survival. Eur Radiol 22:796–802CrossRefPubMed
49.
Win T, Miles KA, Janes SM et al (2013) Tumor heterogeneity and permeability as measured on the CT component of PET/CT predict survival in patients with non–small cell lung cancer. Clin Cancer Res 19:3591–3599CrossRefPubMed
50.
Grove O, Berglund AE, Schabath MB et al (2015) Quantitative computed tomographic descriptors associate tumor shape complexity and intratumor heterogeneity with prognosis in lung adenocarcinoma. PLoS One 10, e0118261CrossRefPubMedPubMedCentral
51.
Coroller TP, Grossmann P, Hou Y et al (2015) CT-based radiomic signature predicts distant metastasis in lung adenocarcinoma. Radiother Oncol 114:345–350CrossRefPubMedPubMedCentral
52.
Huang Y, Liu Z, He L et al (2016) Radiomics Signature: A Potential Biomarker for the Prediction of Disease-Free Survival in Early-Stage (I or II) Non—Small Cell Lung Cancer. Radiology 152234
53.
Liu Y, Balagurunathan Y, Atwater T et al (2016) Radiological Image traits Predictive of Cancer Status in Pulmonary Nodules. Clin Cancer Res: Clin. 3102.2016
54.
de Bruin EC, McGranahan N, Mitter R et al (2014) Spatial and temporal diversity in genomic instability processes defines lung cancer evolution. Science 346:251–256CrossRefPubMedPubMedCentral
Metadata
Title
Prognostic value and molecular correlates of a CT image-based quantitative pleural contact index in early stage NSCLC
Authors
Juheon Lee
Yi Cui
Xiaoli Sun
Bailiang Li
Jia Wu
Dengwang Li
Michael F Gensheimer
Billy W Loo Jr.
Maximilian Diehn
Ruijiang Li
Publication date
01-02-2018
Publisher
Springer Berlin Heidelberg
Published in
European Radiology / Issue 2/2018
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-017-4996-4

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