From human genome to cancer genome: the first decade - PubMed (original) (raw)

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From human genome to cancer genome: the first decade

David A Wheeler et al. Genome Res. 2013 Jul.

Abstract

The realization that cancer progression required the participation of cellular genes provided one of several key rationales, in 1986, for embarking on the human genome project. Only with a reference genome sequence could the full spectrum of somatic changes leading to cancer be understood. Since its completion in 2003, the human reference genome sequence has fulfilled its promise as a foundational tool to illuminate the pathogenesis of cancer. Herein, we review the key historical milestones in cancer genomics since the completion of the genome, and some of the novel discoveries that are shaping our current understanding of cancer.

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Figures

Figure 1.

Figure 1.

Major events in a decade of cancer genomics. (Dark blue) Major advances in massively parallel sequencing platforms and targeted enrichment technologies; (black) major large-scale projects designed to catalog genomic variations of normal human individuals; (red) cancer genomics. (dbSNP) Database of single nucleotide polymorphism; (HapMap) haplotype map of the human genome; (ENCODE) Encyclopedia of DNA Elements; (COSMIC) Catalog of Somatic Mutations in Cancer; (TCGA) The Cancer Genome Atlas; (GA) genome analyzer; (CRC) colorectal carcinoma; (WES) whole-exome sequencing; (ICGC) International Cancer Genome Consortium; (TSP) tumor sequencing project; (AML) acute myeloid leukemia; (WGS) whole-genome sequencing; (OSCC) ovarian small cell carcinoma.

Figure 2.

Figure 2.

Frequencies of somatic mutations in cancer patients. All data represents primary tumors. Only nonsilent mutations (missense, nonsense, frameshift, and splice site) were counted. (A) Overall frequencies of somatic mutations. Each black dot represents a tumor. The light blue shaded group indicates pediatric tumors, and the deeper blue shaded group indicates adult tumors. Red horizontal lines within each cluster of points indicate median value of the mutation frequency of each tumor type. (ALL) Acute lymphoblastic leukemia; (AML) acute myeloid leukemia; (C) carcinoma; (GCT) germ cell tumor; (CRC) colorectal carcinoma; (MSI) microsatellite instability; (MSS) microsatellite stable; (POLE) patients with somatic mutation in the nuclease (proofreading) domain of the POLE gene. The outlier in the low-grade glioma patient with >100 mutations per Mb is also _POLE_-mutated. (B) Frequency classification of tumors. The pie charts divide the patients into three groups based on frequency of nonsilent mutation: 0 detectable somatic mutations, less than 30, and greater than or equal to 30 for selected representative tumor types (30 mutations represent a frequency of 1 per Mbp in A). The nested histograms below the pie charts show the percentage of patients with no significantly mutated genes (SMG, calculated by MutSig, q ≤ 0.1), no cancer census genes (CGC), or no mutations at all. The sequencing data for all the pediatric tumors, CRC, and hepatocellular carcinoma were generated at the Human Genome Sequencing Center at Baylor College of Medicine. The sequencing data for all other adult tumors were from the TCGA Genome Data Analysis Center (

https://confluence.broadinstitute.org/display/GDAC/Home

). Pediatric AML, ALL, and Wilm's Tumor data were obtained from the TARGET project (

http://www.targetproject.net/

).

Figure 3.

Figure 3.

Significantly mutated genes and principal cancer pathways deregulated by somatic mutations in human colorectal carcinoma. Patients are divided into two groups based on mutation rate. All genes shown are significantly mutated with a false discovery rate of less than 0.1. (A) Profile determined from 193 patients with chromosome instable, low mutation rate, disease (see Fig. 2A, CRC MSS). (B) Profile determined from 29 microsatellite instable CRC plus 7 _POLE_-mutated patients (see Fig. 2A, CRC MSI and CRC MSS POLE). (C) Principal cancer pathways deregulated by somatic mutation in CRC. Alterations are defined by somatic mutations, homozygous deletions, high-level focal amplifications, and, in some cases, by significant up- or down-regulation of gene expression (black up-triangle). All genes from Figure 3 except MLK4, GPC6, and EDNRB can be placed in one of the four pathways shown here. WNT signaling is disrupted by one or more mutations in 93% of patients; TGFbeta signaling is disrupted in 26% of all patients with a low mutation rate and in 94% of patients, and RTK/RAS/PI3K signaling is disrupted in over 80% of patients. (Red) Activated genes; (blue) inactivated genes. Deep red or blue are genes on the significantly mutated list from panels A and B. Lighter shaded genes are not mutated significantly in this cohort but contribute to pathway disruption in some patients. Panels A and B adapted from Figure 1, and panel C from Figure 4, of The Cancer Genome Atlas Research Network (2012a).

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References

    1. Albert TJ, Molla MN, Muzny DM, Nazareth L, Wheeler D, Song X, Richmond TA, Middle CM, Rodesch MJ, Packard CJ, et al. 2007. Direct selection of human genomic loci by microarray hybridization. Nat Methods 4: 903–905 - PubMed
    1. Anderson K, Lutz C, van Delft FW, Bateman CM, Guo Y, Colman SM, Kempski H, Moorman AV, Titley I, Swansbury J, et al. 2011. Genetic variegation of clonal architecture and propagating cells in leukaemia. Nature 469: 356–361 - PubMed
    1. Bainbridge MN, Warren RL, Hirst M, Romanuik T, Zeng T, Go A, Delaney A, Griffith M, Hickenbotham M, Magrini V, et al. 2006. Analysis of the prostate cancer cell line LNCaP transcriptome using a sequencing-by-synthesis approach. BMC Genomics 7: 246. - PMC - PubMed
    1. Berger MF, Levin JZ, Vijayendran K, Sivachenko A, Adiconis X, Maguire J, Johnson LA, Robinson J, Verhaak RG, Sougnez C, et al. 2010. Integrative analysis of the melanoma transcriptome. Genome Res 20: 413–427 - PMC - PubMed
    1. Bott M, Brevet M, Taylor BS, Shimizu S, Ito T, Wang L, Creaney J, Lake RA, Zakowski MF, Reva B, et al. 2011. The nuclear deubiquitinase BAP1 is commonly inactivated by somatic mutations and 3p21.1 losses in malignant pleural mesothelioma. Nat Genet 43: 668–672 - PMC - PubMed

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