Identification of Metabolism-Related Gene-Based Subgroup in Prostate Cancer by Guopeng Yu, Bo Liang, Keneng Yin, Ming Zhan, Xin Gu, Jiangyi Wang, Shangqing Song, Yushan Liu, Qing Yang, Tianhai Ji, Tianhai Ji, Bin Xu

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International network of cancer genome projects. by Hudson, T, Anderson, W, Artez, A, Barker, A, Bell, C, Bernabé, R, Bhan, M, Calvo, F, Eerola, I, Gerhard, D, Guttmacher, A, Guyer, M, Hemsley, F, Jennings, J, Kerr, D, Klatt, P, Kolar, P, Kusada, J, Lane, D, Laplace, F, Youyong, L, Nettekoven, G, Ozenberger, B, Peterson, J, Rao, T

“…The International Cancer Genome Consortium (ICGC) was launched to coordinate large-scale cancer genome studies in tumours from 50 different cancer types and/or subtypes that are of clinical and societal importance across the globe. …”

Human genetics and genomics a decade after the release of the draft sequence of the human genome by Naidoo Nasheen, Pawitan Yudi, Soong Richie, Cooper David N, Ku Chee-Seng

“…In parallel, the advent of high-throughput sequencing technologies has ushered in the 'personal genome sequencing' era for both normal and cancer genomes, and made possible large-scale genome sequencing studies such as the 1000 Genomes Project and the International Cancer Genome Consortium. The high-throughput sequencing and sequence-capture technologies are also providing new opportunities to study Mendelian disorders through exome sequencing and whole-genome sequencing. …”
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Retrospective evaluation of whole exome and genome mutation calls in 746 cancer samples

“…The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) curated consensus somatic mutation calls using whole exome sequencing (WES) and whole genome sequencing (WGS), respectively. …”
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Retrospective evaluation of whole exome and genome mutation calls in 746 cancer samples

“…The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) curated consensus somatic mutation calls using whole exome sequencing (WES) and whole genome sequencing (WGS), respectively. …”
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Analyses of non-coding somatic drivers in 2,658 cancer whole genomes

“…Here we present analyses of driver point mutations and structural variants in non-coding regions across 2,658 genomes from the Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium5 of the International Cancer Genome Consortium (ICGC) and The Cancer Genome Atlas (TCGA). …”
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Retrospective evaluation of whole exome and genome mutation calls in 746 cancer samples by Bailey, MH, Meyerson, WU, Dursi, LJ, Wang, LB, Dong, G, Liang, WW, Weerasinghe, A, Li, S, Kelso, S, Akbani, R, Anur, P, Bailey, MH, Buchanan, A, Chiotti, K, Covington, K, Creason, A, Ding, L, Ellrott, K, Fan, Y, Foltz, S, Getz, G, Hale, W, Haussler, D, Hess, JM, Hutter, CM, Kandoth, C, Kasaian, K, Kasapi, M, Larson, D, Leshchiner, I, Letaw, J, Ma, S, McLellan, MD, Men, Y, Mills, GB, Niu, B, Peto, M, Radenbaugh, A, Reynolds, SM, Saksena, G, Sofia, H, Stewart, C, Struck, AJ, Stuart, JM, Wang, W, Weinstein, JN, Wheeler, DA, MC3 Working Group, PCAWG novel somatic mutation calling methods working group, PCAWG Consortium

“…The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) curated consensus somatic mutation calls using whole exome sequencing (WES) and whole genome sequencing (WGS), respectively. …”

Role of Ferroptosis-related Gene GLS2 in Pan-cancer Prognosis and Immunity by PAN Yuemei, SUN Zhi, ZHAO Qianqian, HU Xuexue, WANG Chuanxi

“…Methods GLS2 expression levels in pan-cancer were profiled using publicly available databases: The Cancer Genome Atlas, GTEx, Cancer Cell Line Encyclopedia and the International Cancer Genome Consortium. The aim was to explore the role of GLS2 gene expression, gene variation survival analysis, immune infiltration, immune checkpoint related genes, TMB, and MSI in different tumors. …”
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Mutations in lysine methyltransferase 2C and PEG3 are associated with tumor mutation burden, prognosis, and antitumor immunity in pancreatic adenocarcinoma patients by Yili Huang, Jinsong Liu, Xiaole Zhu

“…Methods The somatic mutation images of PAAD samples were downloaded from The Cancer Genome Atlas (TCGA) and the International Cancer Genome Consortium (ICGC). Based on the expression data of the TCGA and IGCC cohorts, various bioinformatics algorithms are used for evaluating the prognostic value and functional annotation of some frequently somatically mutated genes. …”
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Comprehensive Pan-Cancer Analyses of Pyroptosis-Related Genes to Predict Survival and Immunotherapeutic Outcome by Qilin Wang, Qian Liu, Sihan Qi, Junyou Zhang, Xian Liu, Xin Li, Chunyan Li

“…The underlying transcriptional regulations by copy number variation, miRNAs, and enhancers were elucidated by integrating data from the Genotype-Tissue Expression and International Cancer Genome Consortium. A prognostic risk model, based on the expression of PRGs across 31 cancer types, was constructed. …”
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Single‐cell RNA‐seq and bulk RNA‐seq explore the prognostic value of exhausted T cells in hepatocellular carcinoma by Xiaolong Tang, Yandong Miao, Lixia Yang, Wuhua Ha, Zheng Li, Denghai Mi

“…In the International Cancer Genome Consortium database, we divided patients into three clusters with the T cell evolution‐associated genes. …”
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The evolutionary history of 2,658 cancers by Gerstung, M, Jolly, C, Leshchiner, I, Dentro, SC, Gonzalez, S, Rosebrock, D, Mitchell, TJ, Rubanova, Y, Anur, P, Yu, K, Tarabichi, M, Deshwar, A, Wintersinger, J, Kleinheinz, K, Vázquez-García, I, Haase, K, Jerman, L, Sengupta, S, Macintyre, G, Malikic, S, Donmez, N, Livitz, DG, Cmero, M, Demeulemeester, J, Schumacher, S, Fan, Y, Yao, X, Lee, J, Schlesner, M, Boutros, PC, Bowtell, DD, Zhu, H, Getz, G, Imielinski, M, Beroukhim, R, Sahinalp, SC, Ji, Y, Peifer, M, Markowetz, F, Mustonen, V, Yuan, K, Wang, W, Morris, QD, PCAWG Evolution & Heterogeneity Working Group, Spellman, PT, Wedge, DC, Van Loo, P, PCAWG Consortium

“…Here, by whole-genome sequencing analysis of 2,658 cancers as part of the Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium of the International Cancer Genome Consortium (ICGC) and The Cancer Genome Atlas (TCGA)4, we reconstruct the life history and evolution of mutational processes and driver mutation sequences of 38 types of cancer. …”

Authentication and characterisation of a new oesophageal adenocarcinoma cell line: MFD-1 by Garcia, E, Hayden, A, Birts, C, Britton, E, Cowie, A, Pickard, K, Mellone, M, Choh, C, Derouet, M, Duriez, P, Noble, F, White, M, Primrose, J, Strefford, J, Rose-Zerilli, M, Thomas, G, Ang, Y, Sharrocks, A, Fitzgerald, R, Underwood, T

“…We have described the first such system to arise from the oesophageal International Cancer Genome Consortium project.…”

Identification of Anoikis-Related Subgroups and Prognosis Model in Liver Hepatocellular Carcinoma by Yutong Chen, Weiran Huang, Jian Ouyang, Jingxiang Wang, Zhengwei Xie

“…This model was validated using external datasets from the International Cancer Genome Consortium (ICGC) and Gene Expression Omnibus (GEO). …”
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GBAP1 functions as a tumor promotor in hepatocellular carcinoma via the PI3K/AKT pathway by Rong Chen, Meng Zhao, Yanli An, Dongfang Liu, Qiusha Tang

“…Differentially expressed genes (DEG) in HCC were identified by the intersection between The Cancer Genome Atlas and International Cancer Genome Consortium data. The DEGs were evaluated by a gene set enrichment analysis as well as Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses. …”
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Identification of a prognostic signature of nine metabolism-related genes for hepatocellular carcinoma by Chaozhi Tang, Jiakang Ma, Xiuli Liu, Zhengchun Liu

“…The OS prognostic signature was validated in the International Cancer Genome Consortium independent cohort. The corresponding receiver operating characteristic curves of the model indicated that the signature had good diagnostic efficiency, in terms of improving OS over 1, 3, and 5 years. …”
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Identification and validation of a gene-based signature reveals SLC25A10 as a novel prognostic indicator for patients with ovarian cancer by Qi-jia Li, Juan Wang, Jing Jiang, Bing Lin

“…Methods The Cancer Genome Atlas (TCGA) dataset was used as the training set and the International Cancer Genome Consortium (ICGC) dataset was set as an independent external validation. …”
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Novel prognostic gene signature for pancreatic ductal adenocarcinoma based on hypoxia by Min Ren, Liaoliao Feng, Rongrong Zong, Huiru Sun

“…Then univariate Cox regression, the least absolute shrinkage and selection operator (LASSO) Cox regression and multivariate Cox regression were used to construct a signature and its efficacy was evaluated using the International Cancer Genome Consortium (ICGC) PDAC cohort. Further, the correlation between the risk scores obtained from the signature and carious clinical, pathological, immunophenotype, and immunoinfiltration factors as well as the differences in immunotherapy potential and response to common chemotherapy drugs between high-risk and low-risk groups were evaluated. …”
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Mining Prognostic Biomarkers of Thyroid Cancer Patients Based on the Immune-Related Genes and Development of a Reliable Prognostic Risk Model by Hongjun Fei, Xu Han, Yanlin Wang, Shuyuan Li

“…According to The Cancer Genome Atlas (TCGA) cohort, we developed a least absolute shrinkage and selection operator (LASSO) regression prognostic model and performed validation analyses regard to the predictive value of the model in internal (TCGA) and external (International Cancer Genome Consortium) cohorts respectively. Finally, we analyzed the correlation among the prognostic model, clinical variables, and immune cell infiltration. …”
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Cuproptosis-related immune checkpoint gene signature: Prediction of prognosis and immune response for hepatocellular carcinoma by Tianhao Cong, Yingen Luo, Yu Liu, Chao Yang, Hongcai Yang, Yujie Li, Jingui Li, Xiao Li

“…The TCGA and International Cancer Genome Consortium cohorts were classified into two groups; the low- and high-risk groups were determined using a prognostic signature comprised of five genes. …”
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