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Meskit
1.0.0
Analyze and Visualize Multi-region Whole-exome Sequencing Data
ID:23Uploader:赵齐
2021.09.08
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Abstract
Background: Multi-region sequencing (MRS) has been widely used to analyze intra-tumor heterogeneity (ITH) and cancer evolution. However, comprehensive analysis of mutational data from MRS is still challenging, necessitating complicated integration of a plethora of computational and statistical approaches. Findings: Here, we present MesKit, an R/Bioconductor package that can assist in characterizing genetic ITH and tracing the evolutionary history of tumors based on somatic alterations detected by MRS. MesKit provides a wide range of analysis and visualization modules, including ITH evaluation, metastatic route inference, and mutational signature identification. In addition, MesKit implements an auto-layout algorithm to generate phylogenetic trees based on somatic mutations. The application of MesKit for 2 reported MRS datasets of hepatocellular carcinoma and colorectal cancer identified known heterogeneous features and evolutionary patterns, together with potential driver events during cancer evolution. Conclusions: In summary, MesKit is useful for interpreting ITH and tracing evolutionary trajectory based on MRS data. MesKit is implemented in R and available at https://bioconductor.org/packages/MesKit under the GPL v3 license.
Keywords
intra-tumor heterogeneity; metastatic routes; multi-region sequencing; phylogenetic tree; somatic alterations
Publication
MesKit: a tool kit for dissecting cancer evolution of multi-region tumor biopsies through somatic alterations
MesKit: a tool kit for dissecting cancer evolution of multi-region tumor biopsies through somatic alterations. 2021
Cited by 29 articles
Molecular cartography uncovers evolutionary and microenvironmental dynamics in sporadic colorectal tumors
Cody N Heiser, Alan J Simmons, Frank Revetta, Eliot T McKinley, Marisol A Ramirez-Solano, Jiawei Wang, Harsimran Kaur, Justin Shao, Gregory D Ayers, Yu Wang, Sarah E Glass, Naila Tasneem, Zhengyi Chen, Yan Qin, William Kim, Andrea Rolong, Bob Chen, Paige N Vega, Julia L Drewes, Nicholas O Markham, Nabil Saleh, Fotis Nikolos, Simon Vandekar, Angela L Jones, M Kay Washington, Joseph T Roland, Keith S Chan, Thomas Schürpf, Cynthia L Sears, Qi Liu, Martha J Shrubsole, Robert J Coffey, Ken S Lau Cell. 2023
Genomic patterns of malignant peripheral nerve sheath tumor (MPNST) evolution correlate with clinical outcome and are detectable in cell-free DNA
Isidro Cortes-Ciriano, Christopher D. Steele, Katherine Piculell, Alyaa Al-Ibraheemi, Vanessa Eulo, Marilyn M. Bui, Aikaterini Chatzipli, Brendan C. Dickson, Dana C. Borcherding, Andrew Feber, Alon Galor, Jesse Hart, Kevin B. Jones, Justin T. Jordan, Raymond H. Kim, Daniel Lindsay, Colin Miller, Yoshihiro Nishida, Paula Z. Proszek, Jonathan Serrano, R. Taylor Sundby, Jeffrey J. Szymanski, Nicole J. Ullrich, David Viskochil, Xia Wang, Matija Snuderl, Peter J. Park, Adrienne M. Flanagan, Angela C. Hirbe, Nischalan Pillay, David T. Miller, for the Genomics of MPNST Consortium Cancer Discovery. 2023
Spatial–Temporal Diversity of Extrachromosomal DNA Shapes Urothelial Carcinoma Evolution and the Tumor Immune Microenvironment
Wei Lv, Yuchen Zeng, Conghui Li, Yuan Liang, Huiying Tao, Yanfen Zhu, Xiaolong Sui, Yue Li, Shiqi Jiang, Qingqing Gao, Elias Rodriguez-Fos, Gino Prasad, Yuanmei Wang, Run Zhou, Zhe Xu, Xiaoguang Pan, Linlin Chen, Xi Xiang, Huajing Teng, Chaoyang Sun, Tianyu Qin, Wei Dong, Yongwei Li, Xun Lan, Xuesong Li, Lin Lin, Lars Bolund, Huanming Yang, Roel G.W. Verhaak, Bishoy M. Faltas, Jacob B. Hansen, Sihan Wu, Paul S. Mischel, Anton G. Henssen, Vineet Bafna, Jens Luebeck, Birgitte Regenberg, Yonglun Luo, Chunhua Lin, Peng Han Cancer Discovery. 2025
Microbiome dysbiosis, neutrophil recruitment and mesenchymal transition of mesothelial cells promotes peritoneal metastasis of colorectal cancer
Qingguo Li, Yiwei Xiao, Lingyu Han, Wenqin Luo, Weixing Dai, Hongsheng Fang, Renjie Wang, Ye Xu, Sanjun Cai, Ajay Goel, Fan Bai, Guoxiang Cai Nature Cancer. 2025
Clonal diversity shapes the tumour microenvironment leading to distinct immunotherapy responses in metastatic urothelial carcinoma
Takashi Kamatani, Kota Umeda, Tomohiro Iwasawa, Fuyuki Miya, Kazuhiro Matsumoto, Shuji Mikami, Kensuke Hara, Masayuki Shimoda, Yutaka Suzuki, Jo Nishino, Mamoru Kato, Kazuhiro Kakimi, Nobuyuki Tanaka, Mototsugu Oya, Tatsuhiko Tsunoda Nature Communications. 2025
Documentation
Intra-tumor heterogeneity (ITH) is now thought to be a key factor that results in the therapeutic failures and drug resistance, which have arose increasing attention in cancer research. Here, we present an R package, MesKit, for characterizing cancer genomic ITH and inferring the history of tumor evolutionary. MesKit provides a wide range of analyses including ITH evaluation, enrichment, signature, clone evolution analysis via implementation of well-established computational and statistical methods. The source code and documents are freely available through Github (https://github.com/Niinleslie/MesKit). We also developed a shiny application to provide easier analysis and visualization.
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Meskit
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data
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Language
R
License
MIT
Cost
Free of charge
Accessibility
Open access
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High
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molecular dynamics
molecular interactions, pathways and networks
molecular modelling
dna
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