Literature DB >> 34182217

Adenocarcinoma spectrum lesions of the lung: Detection, pathology and treatment strategies.

L Succony1, D M Rassl2, A P Barker3, F M McCaughan4, R C Rintoul5.   

Abstract

Adenocarcinoma has become the most prevalent lung cancer sub-type and its frequency is increasing. The earliest stages in the development of lung adenocarcinomas are visible using modern computed tomography (CT) as ground glass nodules. These pre-invasive nodules can progress over time to become invasive lung adenocarcinomas. Lesions in this developmental pathway are termed 'adenocarcinoma spectrum' lesions. With the introduction of lung cancer screening programs there has been an increase in the detection of these lesions raising questions about natural history, surveillance and treatment. Here we review how the radiological appearance of an adenocarcinoma spectrum lesion relates to its underlying pathology and explore the natural history and factors driving lesion progression. We examine the molecular changes that occur at each stage of adenocarcinoma spectrum lesion development, including the effects of the driver mutations, EGFR and KRAS, that are key to invasive adenocarcinoma pathology. A better understanding of the development of pre-invasive disease will create treatment targets. Our understanding of how tumours interact with the immune system has led to the development of new therapeutic strategies. We review the role of the immune system in the development of adenocarcinoma spectrum lesions. With a clear preinvasive phase there is an opportunity to treat early adenocarcinoma spectrum lesions before an invasive lung cancer develops. We review current management including surveillance, surgical resection and oncological therapy as well as exploring potential future treatment avenues.
Copyright © 2021 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Adenocarcinoma of lung; Adenocarcinoma spectrum; Ground glass nodule; Lung cancer; Preinvasive

Year:  2021        PMID: 34182217     DOI: 10.1016/j.ctrv.2021.102237

Source DB:  PubMed          Journal:  Cancer Treat Rev        ISSN: 0305-7372            Impact factor:   12.111


  17 in total

1.  CCL20 promotes lung adenocarcinoma progression by driving epithelial-mesenchymal transition.

Authors:  Tao Fan; Shuofeng Li; Chu Xiao; He Tian; Yujia Zheng; Yu Liu; Chunxiang Li; Jie He
Journal:  Int J Biol Sci       Date:  2022-06-27       Impact factor: 10.750

2.  Activation of circ_0072088/miR-1261/PIK3CA pathway accelerates lung adenocarcinoma progression.

Authors:  Feng Cao; Sihua Liu; Ziyi Li; Lingjiao Meng; Meixiang Sang; Baoen Shan
Journal:  Thorac Cancer       Date:  2022-04-26       Impact factor: 3.223

3.  Identification of pathological subtypes of early lung adenocarcinoma based on artificial intelligence parameters and CT signs.

Authors:  Weiyuan Fang; Guorui Zhang; Yali Yu; Hongjie Chen; Hong Liu
Journal:  Biosci Rep       Date:  2022-01-28       Impact factor: 3.840

4.  Comprehensive analysis of PD-L1 expression, tumor-infiltrating lymphocytes, and tumor microenvironment in LUAD: differences between Asians and Caucasians.

Authors:  Fenglong Bie; He Tian; Nan Sun; Ruochuan Zang; Moyan Zhang; Peng Song; Lei Liu; Yue Peng; Guangyu Bai; Bolun Zhou; Shugeng Gao
Journal:  Clin Epigenetics       Date:  2021-12-21       Impact factor: 6.551

5.  Suppression of VEGFD expression by S-nitrosylation promotes the development of lung adenocarcinoma.

Authors:  Qiangqiang He; Meiyu Qu; Tingyu Shen; Yana Xu; Jiahao Luo; Dan Tan; Chengyun Xu; Muhammad Qasim Barkat; Ling-Hui Zeng; Ximei Wu
Journal:  J Exp Clin Cancer Res       Date:  2022-08-08

6.  Trends in lung cancer incidence by gender, histological type and stage at diagnosis in Japan, 1993 to 2015: A multiple imputation approach.

Authors:  Phuong The Nguyen; Kota Katanoda; Eiko Saito; Megumi Hori; Tomio Nakayama; Tomohiro Matsuda
Journal:  Int J Cancer       Date:  2022-02-22       Impact factor: 7.316

7.  A Cell Differentiation Trajectory-Related Signature for Predicting the Prognosis of Lung Adenocarcinoma.

Authors:  Fan Yang; Yan Zhao; Xiaohan Huang; Jin Zhang; Ting Zhang
Journal:  Genet Res (Camb)       Date:  2022-08-16       Impact factor: 1.375

8.  Correlation Analysis of Computed Tomography Features and Pathological Types of Multifocal Ground-Glass Nodular Lung Adenocarcinoma.

Authors:  Jieli Kou; Xiaofei Gu; Liqing Kang
Journal:  Comput Math Methods Med       Date:  2022-07-26       Impact factor: 2.809

9.  Prediction of VEGF and EGFR Expression in Peripheral Lung Cancer Based on the Radiomics Model of Spectral CT Enhanced Images.

Authors:  Linhua Wu; Jian Li; Xiaowei Ruan; Jialiang Ren; Xuejun Ping; Bing Chen
Journal:  Int J Gen Med       Date:  2022-08-22

10.  m7G-Associated subtypes, tumor microenvironment, and validation of prognostic signature in lung adenocarcinoma.

Authors:  Guangyao Wang; Mei Zhao; Jiao Li; Guosheng Li; Fukui Zheng; Guanglan Xu; Xiaohua Hong
Journal:  Front Genet       Date:  2022-08-10       Impact factor: 4.772

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