Literature DB >> 26454747

Radiologic Characteristics of Surgically Resected Non-Small Cell Lung Cancer With ALK Rearrangement or EGFR Mutations.

Tae Jung Kim1, Choon-Taek Lee2, Sang Hoon Jheon3, Jeong-Soo Park4, Jin-Haeng Chung5.   

Abstract

BACKGROUND: Radiogenomic features are predictive of anaplastic lymphoma kinase (ALK) rearrangement in surgically resected non-small cell lung cancer (NSCLC).
METHODS: ALK rearrangement was screened by fluorescent in situ hybridization in 497 patients with resected NSCLC. Of these, 198 patients screened for both ALK and epidermal growth factor receptor (EGFR) mutation were enrolled. Clinicopathologic findings, survival after surgical procedure, computed tomographic (CT) features, and maximum standardized uptake value according to different genotypes were investigated with univariate and multivariate analyses. A receiver operating characteristic (ROC) curve analysis was performed to quantify the predictive value of these factors.
RESULTS: The prevalence of ALK positivity in resected NSCLC was 5.0% (25 of 497). Patients with ALK rearrangement showed significant differences in terms of patient's age (p = 0.006 for ALK versus EGFR, and 0.04 for ALK versus wild type [WT]/WT, respectively), solid lesion (p = 0.0074 for ALK versus EGFR), degree of contrast enhancement (p = 0.0006 for ALK versus EGFR), and lesion margin (p = 0.0011 for ALK versus EGFR, and 0.0314 for ALK versus WT/WT, respectively) compared with EGFR mutant and WT/WT cohorts. Multivariate analysis revealed that young age, solid lesion, lobulated margin, and hypoattenuation at contrast-enhanced CT scan were independent predictors of ALK positivity (p = 0.027, 0.046, 0.001, 0.021, respectively). The area under the ROC curve of the predictive model was 0.832, which suggests good discrimination.
CONCLUSIONS: ALK-rearranged lung cancer has characteristic clinical and imaging features compared with EGFR mutant or WT/WT cohorts. Our findings suggest that young age, lobulated margin, solid lesion, and hypoattenuation at contrast-enhanced CT scan are important predictors of ALK-rearranged lung cancer.
Copyright © 2016 The Society of Thoracic Surgeons. Published by Elsevier Inc. All rights reserved.

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Year:  2015        PMID: 26454747     DOI: 10.1016/j.athoracsur.2015.07.062

Source DB:  PubMed          Journal:  Ann Thorac Surg        ISSN: 0003-4975            Impact factor:   4.330


  24 in total

1.  Clinical and CT characteristics of surgically resected lung adenocarcinomas harboring ALK rearrangements or EGFR mutations.

Authors:  Robert J Gillies; Zhaoxiang Ye; Hua Wang; Matthew B Schabath; Ying Liu; Ying Han; Qi Li
Journal:  Eur J Radiol       Date:  2016-08-30       Impact factor: 3.528

2.  Predictive models for patients with lung carcinomas to identify EGFR mutation status via an artificial neural network based on multiple clinical information.

Authors:  Xiaoyi Qin; Hailong Wang; Xiang Hu; Xiaolong Gu; Wei Zhou
Journal:  J Cancer Res Clin Oncol       Date:  2019-12-05       Impact factor: 4.553

3.  CT Characteristics of Non-Small Cell Lung Cancer With Anaplastic Lymphoma Kinase Rearrangement: A Systematic Review and Meta-Analysis.

Authors:  Tae-Hyung Kim; Sungmin Woo; Soon Ho Yoon; Darragh F Halpenny; Sangwon Han; Chong Hyun Suh
Journal:  AJR Am J Roentgenol       Date:  2019-08-15       Impact factor: 3.959

4.  Characteristic computed tomography features in mesenchymal-epithelial transition exon14 skipping-positive non-small cell lung cancer.

Authors:  Naokazu Watari; Kakuhiro Yamaguchi; Hiroaki Terada; Kosuke Hamai; Ken Masuda; Yoshifumi Nishimura; Shinjiro Sakamoto; Takeshi Masuda; Yasushi Horimasu; Shintaro Miyamoto; Taku Nakashima; Hiroshi Iwamoto; Hiroyasu Shoda; Nobuhisa Ishikawa; Kazunori Fujitaka; Kozue Miyazaki; Yoshihiro Miyata; Hironobu Hamada; Kazuo Awai; Noboru Hattori
Journal:  BMC Pulm Med       Date:  2022-06-30       Impact factor: 3.320

5.  Correlation between combining 18F-FDG PET/CT metabolic parameters and other clinical features and ALK or ROS1 fusion in patients with non-small-cell lung cancer.

Authors:  Maomei Ruan; Liu Liu; Lihua Wang; Bei Lei; Xiaoyan Sun; Cheng Chang; Yan Shen; Wenhui Xie
Journal:  Eur J Nucl Med Mol Imaging       Date:  2020-01-03       Impact factor: 9.236

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Authors:  Meng Li; Li Zhang; Wei Tang; Yu-Jing Jin; Lin-Lin Qi; Ning Wu
Journal:  Eur Radiol       Date:  2018-10-26       Impact factor: 5.315

7.  Anaplastic lymphoma kinase rearrangement in surgically resected stage IA lung adenocarcinoma.

Authors:  Sun Hye Shin; Hyun Lee; Byeong-Ho Jeong; Yong Soo Choi; Myung-Hee Shin; Seonwoo Kim; Joungho Han; Kyung Soo Lee; Young Mog Shim; O Jung Kwon; Hojoong Kim
Journal:  J Thorac Dis       Date:  2018-06       Impact factor: 2.895

8.  Comparison of clinical and radiological characteristics between anaplastic lymphoma kinase rearrangement and epidermal growth factor receptor mutation in treatment naïve advanced lung adenocarcinoma.

Authors:  Yingying Miao; Suhua Zhu; Huijuan Li; Jiawei Zou; Qingqing Zhu; Tangfeng Lv; Yong Song
Journal:  J Thorac Dis       Date:  2017-10       Impact factor: 2.895

Review 9.  The application of radiomics in predicting gene mutations in cancer.

Authors:  Yana Qi; Tingting Zhao; Mingyong Han
Journal:  Eur Radiol       Date:  2022-01-20       Impact factor: 5.315

10.  Identification of Non-Small Cell Lung Cancer Sensitive to Systemic Cancer Therapies Using Radiomics.

Authors:  Laurent Dercle; Matthew Fronheiser; Lin Lu; Shuyan Du; Wendy Hayes; David K Leung; Amit Roy; Julia Wilkerson; Pingzhen Guo; Antonio T Fojo; Lawrence H Schwartz; Binsheng Zhao
Journal:  Clin Cancer Res       Date:  2020-03-20       Impact factor: 13.801

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