Prevalence of underlying lung disease in smokers with epidermal growth factor receptor-mutant lung cancer

Sekine, Akimasa; Tamura, Katsumi; Satoh, Hiroaki; Tanaka, Tomoaki; Tsunoda, Yoshiya; Tanaka, Toru; Takoi, Hiroyuki; Shi, Lin; Yatagai, Yohei; Hashizume, Toshinori; Hayasihara, Kenji; Saito, Takefumi

doi:10.3892/or.2013.2320

Cited by 17 publications

(10 citation statements)

References 33 publications

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“…The incidence of EGFR mutations in the current cohort of Asian patients was 43.6%, most EGFR-mutated tumors harbored exon 19 or 21 mutations, accounting for 44.6% and 50% of all mutated tumors respectively. As expected, we found that EGFR mutations were more common among female patients and nonsmokers; this finding was consistent with previous results (24)(25)(26)(27)(28).…”

Section: Discussionsupporting

confidence: 93%

“…It is reported that the frequency of EGFR was low in patients with emphysema and fibrosis compared with the frequency of EGFR in patients without emphysema and fibrosis (25); however, the correlation between underlying lung diseases and EGFR mutation status in smokers with lung cancer has not been thoroughly investigated. We found that in smokers, those without severe emphysema or fibrosis have a higher possibility of developing EGFR-mutated tumors; this finding was in agreement with findings of a prior study (28). This suggests that it may be possible to prognosticate the presence of EGFR mutations from CT findings of peripheral emphysema or fibrosis in smokers.…”

Section: Thoracic Imaging: Epidermal Growth Factor Receptor Mutation supporting

confidence: 92%

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CT Features Associated with Epidermal Growth Factor Receptor Mutation Status in Patients with Lung Adenocarcinoma

Liu¹,

Kim²,

Qu³

et al. 2016

Radiology

187

178

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).q RSNA, 2016 Purpose:To retrospectively identify the relationship between epidermal growth factor receptor (EGFR) mutation status, predominant histologic subtype, and computed tomographic (CT) characteristics in surgically resected lung adenocarcinomas in a cohort of Asian patients. materials andMethods:This study was approved by the institutional review board, with waiver of informed consent. Preoperative chest CT findings were retrospectively evaluated in 385 surgically resected lung adenocarcinomas. A total of 30 CT descriptors were assessed. EGFR mutations at exons 18-21 were determined by using the amplification refractory mutation system. Multiple logistic regression analyses were performed to identify independent factors of harboring EGFR mutation status. The final model was selected by using the backward elimination method, and two areas under the receiver operating characteristic curve (ROC) were compared with the nonparametric approach of DeLong, DeLong, and Clarke-Pearson. Results:EGFR mutations were found in 168 (43.6%) of 385 patients. Mutations were found more frequently in (a) female patients (P , .001); (b)those who had never smoked (P , .001); (c)those with lepidic predominant adenocarcinomas (P = .001) or intermediate pathologic grade (P , .001); (e) smaller tumors (P , .001); (f) tumors with spiculation (P = .019), ground-glass opacity (GGO) or mixed GGO (P , .001), air bronchogram (P = .006), bubblelike lucency (P , .001), vascular convergence (P = .024), thickened adjacent bronchovascular bundles (P = .027), or pleural retraction (P , .001); and (g) tumors without pleural attachment (P = .004), a well-defined margin (P = .010), marked heterogeneous enhancement (P = .001), severe peripheral emphysema (P = .002), severe peripheral fibrosis (P = .013), or lymphadenopathy (P = .028). The most important and significantly independent prognostic factors of harboring EGFR-activating mutation for the model with both clinical variables and CT features were those who had never smoked and those with smaller tumors, bubblelike lucency, homogeneous enhancement, or pleural retraction when adjusting for histologic subtype, pathologic grade, or thickened adjacent bronchovascular bundles. ROC curve analysis showed that use of clinical variables combined with CT features (area under the ROC curve = 0.778) was superior to use of clinical variables alone (area under the ROC curve = 0.690). Conclusion:CT imaging features of lung adenocarcinomas in combination with clinical variables can be used to prognosticate EGFR mutation status better than use of clinical variables alone.q RSNA, 2016

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Section: Discussionsupporting

confidence: 93%

Section: Thoracic Imaging: Epidermal Growth Factor Receptor Mutation supporting

confidence: 92%

CT Features Associated with Epidermal Growth Factor Receptor Mutation Status in Patients with Lung Adenocarcinoma

Liu¹,

Kim²,

Qu³

et al. 2016

Radiology

187

178

View full text Add to dashboard Cite

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“…Indeed, it has been reported that EGFR mutation is rare in Asian patients with ILD and lung cancer. In particular, an inverse association has been reported between occurrence of ILD and tumors with EGFR mutations in patients with lung ADC [19]. From this perspective, the finding of EGFR -mutated cells in the fibrotic area points out some relevant considerations.…”

Section: Discussionmentioning

confidence: 95%

“…Nevertheless, it should be underlined that a relation subsists between NSCLC associated with ILD and EGFR mutations [17], [18], [19]. Indeed, it has been reported that EGFR mutation is rare in Asian patients with ILD and lung cancer.…”

Section: Discussionmentioning

confidence: 99%

Activation of Oncogenic Pathways in Idiopathic Pulmonary Fibrosis

Stella

Inghilleri

Pignochino

et al. 2014

Translational Oncology

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Idiopathic pulmonary fibrosis (IPF) is defined as a specific form of chronic, progressive fibrosing interstitial pneumonia of unknown cause. The most recent hypotheses on IPF pathogenesis suggest a central role of epithelial cell damage, followed by a dysregulated molecular cross talk between epithelial cells and fibroblasts. Thus, IPF progression has often been assimilated to that of cancer, and several signaling patterns appear to be disrupted in both diseases. Here, we analyze the expression in an IPF series of a panel of molecules, which are known to play a role in tumorigenic process. Our findings, although preliminary, reveal that IPF landscape is enriched in neoplastic potential expressed in a context of complex genomic polyclonality and cellular heterogeneity. These results provide a rationale for further investigations aimed to exploit—in a similar fashion to cancer—targeted therapies for a “precision medicine” approach to IPF.

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“…Each image was classified as normal (score 0), < 25% affected (score 1), < 50% affected (score 2), < 75% affected (score 3), or ≥ 75% affected (score 4) based on the percentage of emphysematous area (19, 20). Therefore, there are 6 images for each patient and the total score ranges from 0 to 24.…”

Section: Methodsmentioning

confidence: 99%

Radiologic Features of Small Pulmonary Nodules and Lung Cancer Risk in the National Lung Screening Trial: A Nested Case-Control Study

Liu¹,

Wang²,

Li³

et al. 2018

Radiology

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Purpose Using data and images from the National Lung Screening Trial (NLST), we extracted radiological features from small pulmonary nodules (SPNs) that did not meet the original criteria to be considered a positive screen and identified features associated with lung cancer risk. Methods We extracted radiological features from SPNs of baseline low-dose computed tomography screens that did not meet NLST criteria to be considered a positive screen. SPNs were identified for 73 incidence case patients that were diagnosed with lung cancer at either the first or second follow-up screen and for 157 control subjects who had had three consecutive negative screens. Multivariable logistic regression was used to assess the association between radiological features and lung cancer risk. All statistical tests were two-sided. Results Nine features were significantly different between case patients and control subjects. Backward-elimination followed by bootstrap re-sampling identified a reduced model of highly informative radiological features with an under the ROC curve of 0.932 (95% C] 0.88–0.96), specificity of 92.38% (95% CI 52.22–84.91), and sensitivity of 76.55% (95% CI 87.50–95.35) that included total emphysema score (OR=1.71; 95% CI 1.39–2.01), attachment to vessel (OR=2.41; 95% CI 0.99–5.81), nodule location (OR=3.25; 95% CI 1.09–8.55), border definition (OR=7.56; 95% CI 1.89–30.8), and concavity (OR=2.58; 95% CI 0.89–5.64). Conclusion We identified a set of clinically relevant radiological features that that can be easily scored in the clinical setting and may be of use to determine lung cancer risk among participants presenting with SPNs.

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Prevalence of underlying lung disease in smokers with epidermal growth factor receptor-mutant lung cancer

Cited by 17 publications

References 33 publications

CT Features Associated with Epidermal Growth Factor Receptor Mutation Status in Patients with Lung Adenocarcinoma

CT Features Associated with Epidermal Growth Factor Receptor Mutation Status in Patients with Lung Adenocarcinoma

Activation of Oncogenic Pathways in Idiopathic Pulmonary Fibrosis

Radiologic Features of Small Pulmonary Nodules and Lung Cancer Risk in the National Lung Screening Trial: A Nested Case-Control Study

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