Correlation in histological subtypes with high resolution computed tomography signatures of early stage lung adenocarcinoma

Miao, Yingying; Zhang, Jianya; Zou, Jiawei; Zhu, Qingqing; Lv, Tangfeng; Song, Yong

doi:10.21037/tlcr.2017.02.06

Cited by 19 publications

(12 citation statements)

References 30 publications

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“…Moreover, our study involved more patients with mutations in EGFR, BRAF, and ERBB2, further supporting the fact that EGFR was the most frequently mutated cancer gene in MIA, AIS, and IAC (9). Our founding also indicated that there was a high discrepancy of driver mutations in NSCLC patients with ground-glass nodules (GGNs) (4,38). EGFR mutation status including L858R mutation and 19 deletions, KRAS mutations or ALK rearrangements occurred frequently in patients with GGO (34).…”

Section: Discussionsupporting

confidence: 78%

“…To evaluate pulmonary GGO and investigate the correlation between CT imaging features and LUAD driver genes or subtypes is helpful for diagnosis and clinical management. Pleural retraction, GGO proportion, and margin signature should be focused initial evaluation of histological subtypes in early stage LUADs (4). Different studies have different definition of GGO proportion and the following parameters have been used to calculate the GGO proportion: area ratio of tumor on mediastinal windows to that on lung windows, consolidation/tumor dimension ratio, GGO/tumor area ratio, the product of the dimension ratio of the tumor on mediastinal windows and GGO/ tumor volume ratio (33) to calculate the tumor shadow disappearance rate (TDR) (34).…”

Section: Discussionmentioning

confidence: 99%

“…GGO proportion should be focused initial evaluation of histological subtypes in early stage LUADs (4). Smaller GGO proportion and nodules with lobulation or spiculation are determinants of poor prognosis histological subtypes in stage IA LUAD patients.…”

Section: Genomic Landscape Of Ground Glass Opacities (Ggos) In East Asiansmentioning

confidence: 99%

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Genomic landscape of ground glass opacities (GGOs) in East Asians

Cao¹,

Huang²,

Kong³

et al. 2021

J Thorac Dis

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Background: Understanding the genomic landscape of early-stage lung adenocarcinoma (LUAD) may provide new insights into the molecular evolution in the early stages of LUAD. Methods: Through sequencing of 79 spatially distinct regions from 37 patients with ground glass opacities (GGOs), we provided a comprehensive mutational landscape of GGOs, highlighting the importance of ancestry differences. Results: Our study had several interesting features. First, epidermal growth factor receptor (EGFR), BRAF (v-RAF murine sarcoma viral oncogene homologue B1), and ERBB2 (Erb-B2 Receptor Tyrosine Kinase 2, also known as HER2) were more frequently mutated in our study, which supports the notion that EGFR is considered to be a major driver and tends to drive the occurrence of LUAD. Second, Signature 1, Signature 3, and Signature 6 were identified in patients with GGOs. Our results further suggested that Signature 1 was more prominent among early mutations. Third, compared with LUADs, GGOs exhibited significantly lower levers of arm-level copy number variation (CNV)-which alter the diploid status of DNA, and lower focal CNVs.Conclusions: In our study, 79 samples of patients were included to analyze the GGO gene profile, revealing the genetic heterogeneity of GGO in East Asian population, and providing guidance for prognosis analysis of GGO patients by comparison with LUAD. Our study revealed that GGOs had fewer genomic alterations and simpler genomic profiles than LUADs. The most commonly altered processes were related to the receptor tyrosine kinase (RTK)/Ras/phosphatidylinositol-3-kinase (PI3K) signaling pathways in GGOs, and EGFR alterations were the dominant genetic changes across all targetable somatic changes.

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Section: Discussionsupporting

confidence: 78%

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Genomic landscape of ground glass opacities (GGOs) in East Asians

Cao¹,

Huang²,

Kong³

et al. 2021

J Thorac Dis

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“…According to this new classification, adenocarcinomas were classified as atypical adenomatous hyperplasia (AAH), adenocarcinoma in situ (AIS), minimally invasive adenocarcinoma (MIA) and invasive adenocarcinoma with lepidic, acinar, papillary, micropapillary or solid growth patterns (7). The presence of invasive components, especially with a solid or micropapillary growth pattern, correlated with poor prognosis in lung cancers (8,9). On CT scans, less aggressive subtypes such as AIS, MIA and lepidic adenocarcinomas frequently present as pure GGN (9).…”

Section: Original Articlementioning

confidence: 99%

“…The presence of invasive components, especially with a solid or micropapillary growth pattern, correlated with poor prognosis in lung cancers (8,9). On CT scans, less aggressive subtypes such as AIS, MIA and lepidic adenocarcinomas frequently present as pure GGN (9). While the presence of aggressive subtypes, such as solid and micropapillary growth patterns, greatly impacts the disease recurrence and overall survival for patients with GGN (10,11).…”

Section: Original Articlementioning

confidence: 99%

Predicting malignancy of pulmonary ground-glass nodules and their invasiveness by random forest

et al. 2018

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Background: The purpose of this study was to develop a predictive model that could accurately predict the malignancy of the pulmonary ground-glass nodules (GGNs) and the invasiveness of the malignant GGNs. Methods: The authors built two binary classification models that could predict the malignancy of the pulmonary GGNs and the invasiveness of the malignant GGNs Results: Results of our developed model showed random forest could achieve 95.1% accuracy to predict the malignancy of GGNs and 83.0% accuracy to predict the invasiveness of the malignant GGNs. Conclusions: The malignancy and invasiveness of pulmonary GGNs could be predicted by random forest.

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Verification of the eighth edition of the UICC‐TNM classification on surgically resected lung adenocarcinoma: Comparison with previous classification in a local center

et al. 2021

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Background:The UICC 8th TNM classification of lung cancer has been changed dramatically, especially in measuring methods of T-desriptors. Different from squamousor small-cell carcinomas, in which the solid-and the invasive-diameter mostly agree with each other, the diameter of the radiological solid part and that of pathological invasive part in adenocarcinomas often does not match. Aim: We aimed to determine radiological and pathological tumor diameters of pulmonary adenocarcinomas with clinicopathological factors and evaluate the validity of the 8th edition in comparison with the 7th edition. Methods and Results: We retrospectively analyzed clinicopathological factors of 429 patients with surgically resected pulmonary adenocarcinomas. The maximum tumor and their solid-part diameters were measured using thin-sectioned computed tomography and compared with pathological tumor and invasive diameters. Overall survival (OS) rate was determined using the Kaplan-Meier method for different subgroups of clinicopathological factors. Akaike's information criteria (AIC) was used as a discriminative measure for the univariate Cox model for the 7th and 8th editions.Multivariate Cox regression analysis was performed to explore independent prognostic factors. Correlation coefficients between radiological and pathological diameters in the 7th and 8th editions were 0.911 and 0.888, respectively, without a significant difference. The major reasons for the difference in the 8th edition were the presence of intratumoral fibrosis and papillary growth pattern. The weighted kappa coefficients in the 8th edition were superior those in the 7th edition for both the T and Stage classifications. In the univariate Cox model, AIC levels were the lowest in the 8th edition. Multivariate analysis revealed that age, lymphovascular invasion, pT(8th), and stage were the most important determinants for OS. Conclusion:The UICC 8th edition is a more discriminative classification than the 7th edition. For subsolid nodules, continuous efforts are necessary to increase the universality of the measurement of solid and invasive diameters.

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Correlation in histological subtypes with high resolution computed tomography signatures of early stage lung adenocarcinoma

Cited by 19 publications

References 30 publications

Genomic landscape of ground glass opacities (GGOs) in East Asians

Genomic landscape of ground glass opacities (GGOs) in East Asians

Predicting malignancy of pulmonary ground-glass nodules and their invasiveness by random forest

Verification of the eighth edition of the UICC‐TNM classification on surgically resected lung adenocarcinoma: Comparison with previous classification in a local center

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