Analysis of genomic variation in lung adenocarcinoma patients revealed the critical role of PI3K complex

Background Molecularly targeted therapies improved survival status of some patients with lung adenocarcinoma, which accounts for 40% of all lung cancers, and in-depth study of gene alterations is important for the personalized treatment. Methods The legacy archive data of clinical information and genomic variations under the project TCGA Lung Adenocarcinoma were downloaded from the GDC Data Portal using R package TCGAbiolinks. The significantly aberrant copy number variants segments were figured out using GAIA. After annotation, the genes involving CNV were used to get enriched pathways. Recurrent amplifications and deletions were identified and visualized by OncoPrint. Genomic alterations in cancer, including CNV and mutations, were represented in Circos. Results The significantly aberrant CNV segments were found, and the genes involved were associated with the immune system. In an analysis of 517 mutation annotated files, we highlighted 63 highly recurrent mutated genes which were associated with lung cancer signaling. These genes involved in important pathways related to cancer progression. The intersections between the genes involving in the significantly aberrant CNV and the genes harboring recurrent somatic SNP were extracted. The PI3K protein family acted as critical roles in the lung adenocarcinoma, since the components of the PI3K protein family include PIK3C2B, PIK3CA, PIK3R1 and so forth were presented in the intersections. Conclusion We represented a comprehensive annotation of genomic alterations in lung adenocarcinoma and proposed that PI3K signaling proteins were critical for it.

[1]  Brad T. Sherman,et al.  Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists , 2008, Nucleic acids research.

[2]  Steven J. M. Jones,et al.  Circos: an information aesthetic for comparative genomics. , 2009, Genome research.

[3]  Keitaro Matsuo,et al.  Relapse-related molecular signature in lung adenocarcinomas identifies patients with dismal prognosis. , 2009, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[4]  Benjamin E. Gross,et al.  Integrative Analysis of Complex Cancer Genomics and Clinical Profiles Using the cBioPortal , 2013, Science Signaling.

[5]  Brad T. Sherman,et al.  Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources , 2008, Nature Protocols.

[6]  F. Giudice,et al.  The determinants of head and neck cancer: Unmasking the PI3K pathway mutations. , 2013, Journal of carcinogenesis & mutagenesis.

[7]  Gianluca Bontempi,et al.  TCGAbiolinks: an R/Bioconductor package for integrative analysis of TCGA data , 2015, Nucleic acids research.

[8]  Steven J. M. Jones,et al.  Comprehensive molecular profiling of lung adenocarcinoma , 2014, Nature.

[9]  Raphael Gottardo,et al.  Orchestrating high-throughput genomic analysis with Bioconductor , 2015, Nature Methods.

[10]  E. Birney,et al.  Mapping identifiers for the integration of genomic datasets with the R/Bioconductor package biomaRt , 2009, Nature Protocols.

[11]  Uri Tabori,et al.  Excessive genomic DNA copy number variation in the Li–Fraumeni cancer predisposition syndrome , 2008, Proceedings of the National Academy of Sciences.

[12]  Andrew D. Yates,et al.  Athletics: Momentous sprint at the 2156 Olympics? , 2004, Nature.

[13]  M. Hurles,et al.  Copy number variation in human health, disease, and evolution. , 2009, Annual review of genomics and human genetics.

[14]  M. Karin,et al.  Immunity, Inflammation, and Cancer , 2010, Cell.

[15]  Chandra Sekhar Pedamallu,et al.  Distinct patterns of somatic genome alterations in lung adenocarcinomas and squamous cell carcinomas , 2016, Nature Genetics.

[16]  Brian H. Dunford-Shore,et al.  Somatic mutations affect key pathways in lung adenocarcinoma , 2008, Nature.

[17]  B. Stewart,et al.  World cancer report 2014. , 2014 .

[18]  Angela N. Brooks,et al.  Mapping the Hallmarks of Lung Adenocarcinoma with Massively Parallel Sequencing , 2012, Cell.

[19]  M. Plummer,et al.  International agency for research on cancer. , 2020, Archives of pathology.

[20]  G. Getz,et al.  GISTIC2.0 facilitates sensitive and confident localization of the targets of focal somatic copy-number alteration in human cancers , 2011, Genome Biology.

[21]  A. Suzuki,et al.  Mammalian phosphoinositide kinases and phosphatases. , 2009, Progress in lipid research.

[22]  Roland Eils,et al.  circlize implements and enhances circular visualization in R , 2014, Bioinform..