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Elucidating Genomic Characteristics of Lung Cancer Progression from In Situ to Invasive Adenocarcinoma.

ABSTRACT: To examine the diversity of somatic alterations and clonal evolution according to aggressiveness of disease, nineteen tumor-blood pairs of 'formerly bronchiolo-alveolar carcinoma (BAC)' which had been reclassified into preinvasive lesion (adenocarcinoma in situ; AIS), focal invasive lesion (minimally invasive adenocarcinoma; MIA), and invasive lesion (lepidic predominant adenocarcinoma; LPA and non-lepidic predominant adenocarcinoma; non-LPA) according to IASLC/ATS/ERS 2011 classification were explored by whole exome sequencing. Several distinct somatic alterations were observed compare to the lung adenocarcinoma study from the Cancer Genome Atlas (TCGA). There were higher numbers of tumors with significant APOBEC mutation fold enrichment (73% vs. 58% TCGA). The frequency of KRAS mutations was lower in our study (5% vs. 32% TCGA), while a higher number of mutations of RNA-splicing genes, RBM10 and U2AF1, were found (37% vs. 11% TCGA). We found neither mutational pattern nor somatic copy number alterations that were specific to AIS/MIA. We demonstrated that clonal cell fraction was the only distinctive feature that discriminated LPA/non-LPA from AIS/MIA. The broad range of clonal frequency signified a more branched clonal evolution at the time of diagnosis. Assessment of tumor clonal cell fraction might provide critical information for individualized therapy as a prognostic factor, however this needs further study.

SUBMITTER: Vinayanuwattikun C

PROVIDER: S-EPMC4992872 | biostudies-other | 2016

REPOSITORIES: biostudies-other

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Elucidating Genomic Characteristics of Lung Cancer Progression from In Situ to Invasive Adenocarcinoma.

Vinayanuwattikun Chanida C Le Calvez-Kelm Florence F Abedi-Ardekani Behnoush B Zaridze David D Mukeria Anush A Voegele Catherine C Vallée Maxime M Purnomosari Dewajani D Forey Nathalie N Durand Geoffroy G Byrnes Graham G Mckay James J Brennan Paul P Scelo Ghislaine G

Scientific reports 20160822

To examine the diversity of somatic alterations and clonal evolution according to aggressiveness of disease, nineteen tumor-blood pairs of 'formerly bronchiolo-alveolar carcinoma (BAC)' which had been reclassified into preinvasive lesion (adenocarcinoma in situ; AIS), focal invasive lesion (minimally invasive adenocarcinoma; MIA), and invasive lesion (lepidic predominant adenocarcinoma; LPA and non-lepidic predominant adenocarcinoma; non-LPA) according to IASLC/ATS/ERS 2011 classification were e ...[more]

PMID: 27545006

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Project description:BackgroundNon-small cell lung cancer (NSCLC) represents more than about 80% of the lung cancer. The early stages of NSCLC can be treated with complete resection with a good prognosis. However, most cases are detected at late stage of the disease. The average survival rate of the patients with invasive lung cancer is only about 4%. Adenocarcinoma in situ (AIS) is an intermediate subtype of lung adenocarcinoma that exhibits early stage growth patterns but can develop into invasion.MethodsIn this study, we used RNA-seq data from normal, AIS, and invasive lung cancer tissues to identify a gene module that represents the distinguishing characteristics of AIS as AIS-specific genes. Two differential expression analysis algorithms were employed to identify the AIS-specific genes. Then, the subset of the best performed AIS-specific genes for the early lung cancer prediction were selected by random forest. Finally, the performances of the early lung cancer prediction were assessed using random forest, support vector machine (SVM) and artificial neural networks (ANNs) on four independent early lung cancer datasets including one tumor-educated blood platelets (TEPs) dataset.ResultsBased on the differential expression analysis, 107 AIS-specific genes that consisted of 93 protein-coding genes and 14 long non-coding RNAs (lncRNAs) were identified. The significant functions associated with these genes include angiogenesis and ECM-receptor interaction, which are highly related to cancer development and contribute to the smoking-free lung cancers. Moreover, 12 of the AIS-specific lncRNAs are involved in lung cancer progression by potentially regulating the ECM-receptor interaction pathway. The feature selection by random forest identified 20 of the AIS-specific genes as early stage lung cancer signatures using the dataset obtained from The Cancer Genome Atlas (TCGA) lung adenocarcinoma samples. Of the 20 signatures, two were lncRNAs, BLACAT1 and CTD-2527I21.15 which have been reported to be associated with bladder cancer, colorectal cancer and breast cancer. In blind classification for three independent tissue sample datasets, these signature genes consistently yielded about 98% accuracy for distinguishing early stage lung cancer from normal cases. However, the prediction accuracy for the blood platelets samples was only 64.35% (sensitivity 78.1%, specificity 50.59%, and AUROC 0.747).ConclusionsThe comparison of AIS with normal and invasive tumor revealed diseases-specific genes and offered new insights into the mechanism underlying AIS progression into an invasive tumor. These genes can also serve as the signatures for early diagnosis of lung cancer with high accuracy. The expression profile of gene signatures identified from tissue cancer samples yielded remarkable early cancer prediction for tissues samples, however, relatively lower accuracy for boold platelets samples.

Project description:BACKGROUND: Non-mucinous bronchioloalveolar carcinoma (BAC) is considered the early stage of lung adenocarcinoma and is classified as the lung adenocarcioma in situ (AIS) by the International Association for the Study of Lung Cancer/American Thoracic Society/European Respiratory Society. This study was designed to investigate the gene expression differences between AIS (formerly non-mucinous BAC) and invasive lepidic predominant adenocarcinoma (LPA, formerly non-mucinous BAC pattern with >5 mm invasion, mixed type adenocarcinoma with BAC features) and to investigate the mechanism of the progression of lung adenocarcinoma in situ to invasive adenocarcinoma. METHODS: Gene expression analysis was performed by using Agilent 4?×?44 K Whole Human Genome Oligo Microarray on 10 fresh frozen tissue samples of AIS and LPA, respectively. Real time RT-PCR was used to validate the differential expression of 13 genes selected by cDNA microarray on fresh frozen tissue samples from 41 patients with lung adenocarcinoma and 4 genes were confirmed. These 4 genes were then validated by western blotting. Immunohistochemical staining for these validated genes was performed on formalin-fixed, paraffin-embedded tissue samples from 81 cases of lung adenocarcinomna. RESULTS: We identified a 13 gene expression signature by comparative analysis of gene expression. Expression of these genes strongly differed between AIS and LPA. Four genes (MMP-2, c-fos, claudin 1 (CLDN1) and claudin 10(CLDN10)) were correlated with the results of microarray and real time RT-PCR analyses for the gene-expression data in samples from 41 patients with lung adenocarcinoma. As confirmed by western blotting, the expression levels of MMP-2 and c-fos were higher in LPA than those in AIS; the expression levels of CLDN1 and CLDN10 in LPA were lower than those in AIS. Immunohistochemical staining for these genes in samples from 81 cases of lung adenocarcinoma demonstrated the expressions of CLDN1 and CLDN10 were correlated with overall survival of patients with lung adenocarcinoma. CONCLUSIONS: CLDN1 and CLDN10 may play important roles in the development of AIS to LPA. Overexpression of CLDN1 and CLDN10 indicates a favorable prognosis for overall survival in some patients with lung adenocarcinoma. Expression of CLDN10 may be regulated by the c-fos pathway.

Dataset Information

Elucidating Genomic Characteristics of Lung Cancer Progression from In Situ to Invasive Adenocarcinoma.

Publications

Elucidating Genomic Characteristics of Lung Cancer Progression from In Situ to Invasive Adenocarcinoma.

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