Literature DB >> 35618790

Stepwise evolutionary genomics of early-stage lung adenocarcinoma manifesting as pure, heterogeneous and part-solid ground-glass nodules.

Hao Li1, Zewen Sun1, Rongxin Xiao1, Qingyi Qi2, Xiao Li3, Haiyan Huang4, Xuan Wang5, Jian Zhou1, Zhenfan Wang1, Ke Liu4, Ping Yin2, Fan Yang1, Jun Wang6.   

Abstract

BACKGROUND: This study was designed to unravel the genomic landscape and evolution of early-stage subsolid lung adenocarcinomas (SSN-LUADs) manifesting as pure ground-glass nodules (pGGNs), heterogeneous ground-glass nodules (HGGNs) and part-solid nodules (PSNs).
METHODS: Samples subjected to either broad-panel next-generation sequencing (NGS) or whole-exome sequencing (WES) were included. Clinicopathologic and genomic features were compared among pGGN, HGGN and PSN, while tumour evolutionary trajectories and mutational signatures were evaluated in the entire cohort.
RESULTS: In total, 247 SSN-LUAD samples subjected to broad-panel NGS and 125 to WES were identified. Compared with PSNs, HGGNs had significantly lower tumour mutation count (P < 0.001), genomic alteration count (P < 0.001), and intra-tumour heterogeneity (P = 0.005). Statistically significant upward trends were observed in alterations involving driver mutations and oncogenic pathways from pGGNs to HGGNs to PSNs. EGFR mutation was proved to be a key early event in the progression of SSN-LUADs, with subsequently two evolutionary trajectories involving either RBM10 or TP53 mutation in the cancer-evolution models.
CONCLUSIONS: This study provided evidence for unravelling the previously unknown genomic underpinnings associated with SSN-LUAD evolution from pGGN to HGGN to PSN, proving that HGGN was an intermediate SSN form between pGGN and PSN genetically.
© 2022. The Author(s), under exclusive licence to Springer Nature Limited.

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Year:  2022        PMID: 35618790      PMCID: PMC9381762          DOI: 10.1038/s41416-022-01821-7

Source DB:  PubMed          Journal:  Br J Cancer        ISSN: 0007-0920            Impact factor:   9.075


  32 in total

1.  Algorithmic methods to infer the evolutionary trajectories in cancer progression.

Authors:  Giulio Caravagna; Alex Graudenzi; Daniele Ramazzotti; Rebeca Sanz-Pamplona; Luca De Sano; Giancarlo Mauri; Victor Moreno; Marco Antoniotti; Bud Mishra
Journal:  Proc Natl Acad Sci U S A       Date:  2016-06-28       Impact factor: 11.205

2.  Recommendations for Measuring Pulmonary Nodules at CT: A Statement from the Fleischner Society.

Authors:  Alexander A Bankier; Heber MacMahon; Jin Mo Goo; Geoffrey D Rubin; Cornelia M Schaefer-Prokop; David P Naidich
Journal:  Radiology       Date:  2017-06-26       Impact factor: 11.105

3.  CAPRI: efficient inference of cancer progression models from cross-sectional data.

Authors:  Daniele Ramazzotti; Giulio Caravagna; Loes Olde Loohuis; Alex Graudenzi; Ilya Korsunsky; Giancarlo Mauri; Marco Antoniotti; Bud Mishra
Journal:  Bioinformatics       Date:  2015-05-13       Impact factor: 6.937

Review 4.  Characteristics, sources and health risk assessment of airborne particulate PAHs in Chinese cities: A review.

Authors:  Daohao Yan; Shaohua Wu; Shenglu Zhou; Guijie Tong; Fufu Li; Yuanmin Wang; Baojie Li
Journal:  Environ Pollut       Date:  2019-02-27       Impact factor: 8.071

5.  ConsensusClusterPlus: a class discovery tool with confidence assessments and item tracking.

Authors:  Matthew D Wilkerson; D Neil Hayes
Journal:  Bioinformatics       Date:  2010-04-28       Impact factor: 6.937

6.  MATH, a novel measure of intratumor genetic heterogeneity, is high in poor-outcome classes of head and neck squamous cell carcinoma.

Authors:  Edmund A Mroz; James W Rocco
Journal:  Oral Oncol       Date:  2012-10-15       Impact factor: 5.337

7.  Radiographically determined noninvasive adenocarcinoma of the lung: survival outcomes of Japan Clinical Oncology Group 0201.

Authors:  Hisao Asamura; Tomoyuki Hishida; Kenji Suzuki; Teruaki Koike; Kenichi Nakamura; Masahiko Kusumoto; Kanji Nagai; Hirohito Tada; Tetsuya Mitsudomi; Masahiro Tsuboi; Taro Shibata; Haruhiko Fukuda
Journal:  J Thorac Cardiovasc Surg       Date:  2013-02-08       Impact factor: 5.209

8.  A flexible R package for nonnegative matrix factorization.

Authors:  Renaud Gaujoux; Cathal Seoighe
Journal:  BMC Bioinformatics       Date:  2010-07-02       Impact factor: 3.169

9.  High-Ambient Air Pollution Exposure Among Never Smokers Versus Ever Smokers With Lung Cancer.

Authors:  Renelle Myers; Michael Brauer; Trevor Dummer; Sukhinder Atkar-Khattra; John Yee; Barbara Melosky; Cheryl Ho; Anna L McGuire; Sophie Sun; Kyle Grant; Alexander Lee; Martha Lee; Weiran Yuchi; Martin Tammemagi; Stephen Lam
Journal:  J Thorac Oncol       Date:  2021-07-10       Impact factor: 15.609

10.  Lung cancer probability and clinical outcomes of baseline and new subsolid nodules detected on low-dose CT screening.

Authors:  Yeon Wook Kim; Byoung Soo Kwon; Sung Yoon Lim; Yeon Joo Lee; Jong Sun Park; Young-Jae Cho; Ho Il Yoon; Kyung Won Lee; Jae Ho Lee; Jin-Haeng Chung; Eunjeong Ji; Choon-Taek Lee
Journal:  Thorax       Date:  2021-04-15       Impact factor: 9.139

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