Clinicoradiographic Predictors of Aggressive Biology in Lung Cancer With Ground Glass Components

Nelson, David B.; Godoy, Myrna C.B.; Benveniste, Marcelo Felipe Kuperman; Shewale, Jitesh B.; Spicer, Jonathan; Mitchell, Kyle G.; Hofstetter, Wayne L.; Mehran, Reza J.; Rice, David C.; Sepesi, Boris; Walsh, Garrett L.; Vaporciyan, Ara A.; Swisher, Stephen G.; Roth, Jack A.; Antonoff, Mara B.

doi:10.1016/j.athoracsur.2018.02.020

Cited by 17 publications

(16 citation statements)

References 22 publications

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“…In the eighth edition of the clinical T classification, there is no consensus on how to make uniform measurements for such solid components in many part-solid tumors. 8 These include not only typical part-solid tumors 18 but also atypical part-solid lesions, such as GGO with scattered consolidations, 19 GGO with island-shaped consolidations, 20,21 or GGO mimicking organizing pneumonia. 22 Furthermore, the way of measuring solid component size in part-solid tumors is (5) .0104…”

Section: Discussionmentioning

confidence: 99%

Prognostic impact of a ground-glass opacity component in clinical stage IA non–small cell lung cancer

Hattori

Suzuki

Takamochi

et al. 2021

The Journal of Thoracic and Cardiovascular Surgery

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Objective: We performed a validation study to confirm the prognostic importance of the presence of a ground-glass opacity component based on data of the Japan Clinical Oncology Group study, JCOG0201, which was a prospective observational study to predict the pathological noninvasiveness of clinical stage IA lung cancer in Japan.Methods: Among the 811 patients registered in JCOG0201, 671 were confirmed eligible by study monitoring and a central review of computed tomography. Registered c-stage IA lung cancer was less than 30 mm in maximum tumor size, which was classified into a with ground-glass opacity group (pure ground-glass opacity and part-solid tumor) or solid group based on the status of a ground-glass opacity component. T staging was reassigned in accordance with the 8th edition of the TNM staging system. To validate the prognostic impact, overall survival was estimated.Results: Of the cases, 432 (64%) were in the with ground-glass opacity group and 239 (36%) were in the solid group with a median follow-up time of 10.1 years. The 5-year overall survival was significantly different between the with ground-glass opacity group and solid group (95.1% vs 81.1%). The 5-year overall survival was excellent regardless of the solid component size in the with ground-glass opacity group (c-T1a or less: 97.2%, c-T1b: 93.4%, c-T1c: 91.7%). In contrast, prognostic impact of the tumor size was definitive in the solid group (c-T1a: 87.5%, c-T1b: 85.9%, c-T1c: 73.7%).Conclusions: Favorable prognostic impact of the presence of a ground-glass opacity component was demonstrated in JCOG0201. The presence or absence of a ground-glass opacity should be considered as an important parameter in the next clinical T classification.

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Section: Discussionmentioning

confidence: 99%

Prognostic impact of a ground-glass opacity component in clinical stage IA non–small cell lung cancer

Hattori

Suzuki

Takamochi

et al. 2021

The Journal of Thoracic and Cardiovascular Surgery

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“…In cancer microenvironment, normal lung epithelial cells underwent EMT leading to enhanced cellular adhesion, apical-basal polarity and motility, which induced the increased capacity of invasion and proliferation (18)(19)(20). Once cancer cells experienced EMT have metastasized, it's easier to migrate to neighboring or distant organs (21)(22), with more di cult treatment and more serious survival (23). To data, the stimulated EMT has been accepted as the favored explanation of distant promoter in lung cancer (19).…”

Section: Discussionmentioning

confidence: 99%

Down-Regulated MAC30 Suppresses Lung Cancer Invasion and EMT by Inhibiting Wnt/β-Catenin Signaling Pathway

Zhou

Ji²,

chen

et al. 2021

Preprint

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Backgrounds：Over-expressed meningioma-associated protein (MAC30) was proved to be a biomarker for worse prognosis in non–small cell lung cancer (NSCLC). However, the regulated mechanism of MAC30 in epithelial–mesenchymal transition (EMT) and lung cancer invasion is unknown. Methods：Transformed growth factor (TGF-β) was used to induce EMT in A549 cells in vitro. MAC30 siRNA was transfected into cells to silence the gene expression. Real-Time PCR was prepared to assess the levels of MAC30 mRNA. Methyl thiazolyl tetrazolium (MTT) and Transwell invasion assays were performed to study the proliferation and invasion of A549 cells. Expression of MAC30, EMT-related proteins, Wnt/β-catenin signal and its downstream factors were explored by ELISA. Results: We found enhanced MAC30 expression in A549 cells. MAC30 Knockdown inhibited TGF-β-induced lung cell proliferation and invasion. Furthermore, elevated levels of mesenchymal markers (N-cadherin, vimentin) and decreased levels of epithelial markers E-cadherin in A549 cells with TGF-β incubation were reversed by MAC30 siRNA. Finally, MAC30 knockdown significantly suppressed TGF-β-upregulated protein levels of Wnt/ β-catenin signaling and its downstream genes (surviving, c-myc and cyclin D1). Conclusions: We firstly confirm that MAC30 knockdown limits lung cancer growth and EMT through inhibiting the activation of Wnt/β-catenin pathway.

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“…GGOs can be divided into two groups: pure GGO (with no solid component) and part-solid GGO (with both pure GGO area and solid area) [13]. Previously described risk factors for malignancy have included size, proportion of solid component, and progression of GGOs over time [5,[19][20][21]. Malignant GGO lesions tend to be slower growing than pure solid pulmonary malignancies and typically follow an adenocarcinoma oncogenic pathway with common presence of genetic mutations such as epidermal growth factor receptor (EGFR) [22].…”

Section: Commentmentioning

confidence: 99%

Ground Glass Lesions on Chest Imaging: Evaluation of Reported Incidence in Cancer Patients Using Natural Language Processing

Haren

Correa

Sepesi

et al. 2019

The Annals of Thoracic Surgery

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Background. Ground glass opacities (GGOs) on computed tomography (CT) have gained significant recent attention, with unclear incidence and epidemiologic patterns. Natural language processing (NLP) is a powerful computing tool that collects variables from unstructured data fields. Our objective was to characterize trends of GGO detection using NLP.Methods. Patients were identified at a large quaternary referral center who underwent chest CT from 2000 to 2016 via query of institutional databases. NLP was used to identify imaging reports with GGOs and to obtain additional demographic data. Incidence of reported GGOs was tracked over time. Multivariate regression was used to identify predictors of GGOs identified on chest CT.Results. A total of 244,391 chest CTs were included, with 35,386 (14.5%) revealing GGOs. There was a significant relationship between advancing year of chest CT and likelihood of reported GGOs (p < 0.001). GGOs were more likely to occur in older subjects (60.5 vs 58.5 years, p

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Clinicoradiographic Predictors of Aggressive Biology in Lung Cancer With Ground Glass Components

Cited by 17 publications

References 22 publications

Prognostic impact of a ground-glass opacity component in clinical stage IA non–small cell lung cancer

Prognostic impact of a ground-glass opacity component in clinical stage IA non–small cell lung cancer

Down-Regulated MAC30 Suppresses Lung Cancer Invasion and EMT by Inhibiting Wnt/β-Catenin Signaling Pathway

Ground Glass Lesions on Chest Imaging: Evaluation of Reported Incidence in Cancer Patients Using Natural Language Processing

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