HCMMCNVs: hierarchical clustering mixture model of copy number variants detection using whole exome sequencing technology

Author(s):  
Chi Song ◽  
Shih-Chi Su ◽  
Zhiguang Huo ◽  
Suleyman Vural ◽  
James E Galvin ◽  
...  

Abstract Summary In this article, we introduce a hierarchical clustering and Gaussian mixture model with expectation-maximization (EM) algorithm for detecting copy number variants (CNVs) using whole exome sequencing (WES) data. The R shiny package ‘HCMMCNVs’ is also developed for processing user-provided bam files, running CNVs detection algorithm and conducting visualization. Through applying our approach to 325 cancer cell lines in 22 tumor types from Cancer Cell Line Encyclopedia (CCLE), we show that our algorithm is competitive with other existing methods and feasible in using multiple cancer cell lines for CNVs estimation. In addition, by applying our approach to WES data of 120 oral squamous cell carcinoma (OSCC) samples, our algorithm, using the tumor sample only, exhibits more power in detecting CNVs as compared with the methods using both tumors and matched normal counterparts. Availability and implementation HCMMCNVs R shiny software is freely available at github repository https://github.com/lunching/HCMM_CNVs.and Zenodo https://doi.org/10.5281/zenodo.4593371. Supplementary information Supplementary data are available at Bioinformatics online.

2016 ◽  
Vol 15 ◽  
pp. CIN.S36612 ◽  
Author(s):  
Lun-Ching Chang ◽  
Biswajit Das ◽  
Chih-Jian Lih ◽  
Han Si ◽  
Corinne E. Camalier ◽  
...  

With rapid advances in DNA sequencing technologies, whole exome sequencing (WES) has become a popular approach for detecting somatic mutations in oncology studies. The initial intent of WES was to characterize single nucleotide variants, but it was observed that the number of sequencing reads that mapped to a genomic region correlated with the DNA copy number variants (CNVs). We propose a method RefCNV that uses a reference set to estimate the distribution of the coverage for each exon. The construction of the reference set includes an evaluation of the sources of variability in the coverage distribution. We observed that the processing steps had an impact on the coverage distribution. For each exon, we compared the observed coverage with the expected normal coverage. Thresholds for determining CNVs were selected to control the false-positive error rate. RefCNV prediction correlated significantly ( r = 0.96–0.86) with CNV measured by digital polymerase chain reaction for MET (7q31), EGFR (7p12), or ERBB2 (17q12) in 13 tumor cell lines. The genome-wide CNV analysis showed a good overall correlation (Spearman's coefficient = 0.82) between RefCNV estimation and publicly available CNV data in Cancer Cell Line Encyclopedia. RefCNV also showed better performance than three other CNV estimation methods in genome-wide CNV analysis.


2020 ◽  
Vol 22 (8) ◽  
pp. 1041-1049
Author(s):  
Évelin A. Zanardo ◽  
Fabíola P. Monteiro ◽  
Samar N. Chehimi ◽  
Yanca G. Oliveira ◽  
Alexandre T. Dias ◽  
...  

2019 ◽  
Vol 116 (45) ◽  
pp. 22730-22736 ◽  
Author(s):  
Luca Zammataro ◽  
Salvatore Lopez ◽  
Stefania Bellone ◽  
Francesca Pettinella ◽  
Elena Bonazzoli ◽  
...  

The prognosis of advanced/recurrent cervical cancer patients remains poor. We analyzed 54 fresh-frozen and 15 primary cervical cancer cell lines, along with matched-normal DNA, by whole-exome sequencing (WES), most of which harboring Human-Papillomavirus-type-16/18. We found recurrent somatic missense mutations in 22 genes (including PIK3CA, ERBB2, and GNAS) and a widespread APOBEC cytidine deaminase mutagenesis pattern (TCW motif) in both adenocarcinoma (ACC) and squamous cell carcinomas (SCCs). Somatic copy number variants (CNVs) identified 12 copy number gains and 40 losses, occurring more often than expected by chance, with the most frequent events in pathways similar to those found from analysis of single nucleotide variants (SNVs), including the ERBB2/PI3K/AKT/mTOR, apoptosis, chromatin remodeling, and cell cycle. To validate specific SNVs as targets, we took advantage of primary cervical tumor cell lines and xenografts to preclinically evaluate the activity of pan-HER (afatinib and neratinib) and PIK3CA (copanlisib) inhibitors, alone and in combination, against tumors harboring alterations in the ERBB2/PI3K/AKT/mTOR pathway (71%). Tumors harboring ERBB2 (5.8%) domain mutations were significantly more sensitive to single agents afatinib or neratinib when compared to wild-type tumors in preclinical in vitro and in vivo models (P = 0.001). In contrast, pan-HER and PIK3CA inhibitors demonstrated limited in vitro activity and were only transiently effective in controlling in vivo growth of PIK3CA-mutated cervical cancer xenografts. Importantly, combinations of copanlisib and neratinib were highly synergistic, inducing long-lasting regression of tumors harboring alterations in the ERBB2/PI3K/AKT/mTOR pathway. These findings define the genetic landscape of cervical cancer, suggesting that a large subset of cervical tumors might benefit from existing ERBB2/PIK3CA/AKT/mTOR-targeted drugs.


2013 ◽  
Vol 34 (10) ◽  
pp. 1439-1448 ◽  
Author(s):  
Joep de Ligt ◽  
Philip M. Boone ◽  
Rolph Pfundt ◽  
Lisenka E.L.M. Vissers ◽  
Todd Richmond ◽  
...  

2015 ◽  
Author(s):  
Mirna Jarosz ◽  
Michael Schnall-Levin ◽  
Grace X. Y. Zheng ◽  
Patrick Marks ◽  
Sofia Kyriazopoulou-Panagiotopoulou ◽  
...  

2014 ◽  
Vol 42 (12) ◽  
pp. e97-e97 ◽  
Author(s):  
Daniel Backenroth ◽  
Jason Homsy ◽  
Laura R. Murillo ◽  
Joe Glessner ◽  
Edwin Lin ◽  
...  

2019 ◽  
Vol 18 (8) ◽  
pp. 1460-1471 ◽  
Author(s):  
Sunetra Das ◽  
Rupa Idate ◽  
Kathryn E. Cronise ◽  
Daniel L. Gustafson ◽  
Dawn L. Duval

Genomics Data ◽  
2014 ◽  
Vol 2 ◽  
pp. 144-146 ◽  
Author(s):  
Joep de Ligt ◽  
Philip M. Boone ◽  
Rolph Pfundt ◽  
Lisenka E.L.M. Vissers ◽  
Nicole de Leeuw ◽  
...  

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