Over the past decade, comprehensive sequencing efforts have revealed the genomic landscapes of common forms of human cancer. For most cancer types, this landscape consists of a small number of “mountains” (genes altered in a high percentage of tumors) and a much larger number of “hills” (genes altered infrequently). To date, these studies have revealed ~140 genes that, when altered by intragenic mutations, can promote or “drive” tumorigenesis. A typical tumor contains two to eight of these “driver gene” mutations; the remaining mutations are passengers that confer no selective growth advantage. Driver genes can be classified into 12 signaling pathways that regulate three core cellular processes: cell fate, cell survival, and genome maintenance. A better understanding of these pathways is one of the most pressing needs in basic cancer research. Even now, however, our knowledge of cancer genomes is sufficient to guide the development of more effective approaches for reducing cancer morbidity and mortality.

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Cancer Genome Landscapes

BackgroundRecent studies have provided a detailed census of genes that are mutated in acute myeloid leukemia (AML). Our next challenge is to understand how this genetic diversity defines the pathophysiology of AML and informs clinical practice. MethodsWe enrolled a total of 1540 patients in three prospective trials of intensive therapy. Combining driver mutations in 111 cancer genes with cytogenetic and clinical data, we defined AML genomic subgroups and their relevance to clinical outcomes. ResultsWe identified 5234 driver mutations across 76 genes or genomic regions, with 2 or more drivers identified in 86% of the patients. Patterns of co-mutation compartmentalized the cohort into 11 classes, each with distinct diagnostic features and clinical outcomes. In addition to currently defined AML subgroups, three heterogeneous genomic categories emerged: AML with mutations in genes encoding chromatin, RNA-splicing regulators, or both (in 18% of patients); AML with TP53 mutations, chromosomal aneuploidies, or b...

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Genomic Classification and Prognosis in Acute Myeloid Leukemia

AACR Centennial Conference: Translational Cancer Medicine-- Nov 4-8, 2007; Singapore

PL02-05 

All cancers are due to abnormalities in DNA. The availability of the human genome sequence has led to the proposal that resequencing of cancer genomes will reveal the full complement of somatic mutations and hence all the cancer genes. To explore the nature of the information that will be derived from cancer genome sequencing we have sequenced the coding exons of the family of 518 protein kinases, ~1.3Mb DNA per cancer sample, in 210 cancers of diverse histological types. Despite the screen being directed toward the coding regions of a gene family that has previously been strongly implicated in oncogenesis, the results indicate that the majority of somatic mutations detected are “passengers”. There is considerable variation in the number and pattern of these mutations between individual cancers, indicating substantial diversity of processes of molecular evolution between cancers. The imprints of exogenous mutagenic exposures, mutagenic treatment regimes and DNA repair defects can all be seen in the distinctive mutational signatures of individual cancers. This systematic mutation screen and others have previously yielded a number of cancer genes that are frequently mutated in one or more cancer types and which are now anticancer drug targets (for example BRAF , PIK3CA , and EGFR ). However, detailed analyses of the data from our screen additionally suggest that there exist a large number of additional “driver” mutations which are distributed across a substantial number of genes. It therefore appears that cells may be able to utilise mutations in a large repertoire of potential cancer genes to acquire the neoplastic phenotype. However, many of these genes are employed only infrequently. These findings may have implications for future anticancer drug development.

Patterns of Somatic Mutation in Human Cancer Genomes

Cancers evolve by a reiterative process of clonal expansion, genetic diversification and clonal selection within the adaptive landscapes of tissue ecosystems. The dynamics are complex, with highly variable patterns of genetic diversity and resulting clonal architecture. Therapeutic intervention may destroy cancer clones and erode their habitats, but it can also inadvertently provide a potent selective pressure for the expansion of resistant variants. The inherently Darwinian character of cancer is the primary reason for this therapeutic failure, but it may also hold the key to more effective control.

Clonal evolution in cancer

Phenotypic and functional heterogeneity arise among cancer cells within the same tumour as a consequence of genetic change, environmental differences and reversible changes in cell properties. Some cancers also contain a hierarchy in which tumorigenic cancer stem cells differentiate into non-tumorigenic progeny. However, it remains unclear what fraction of cancers follow the stem-cell model and what clinical behaviours the model explains. Studies using lineage tracing and deep sequencing could have implications for the cancer stem-cell model and may help to determine the extent to which it accounts for therapy resistance and disease progression.

Tumour heterogeneity and cancer cell plasticity

Little is known of the genetic architecture of cancer at the subclonal and single-cell level or in the cells responsible for cancer clone maintenance and propagation Here we have examined this issue in childhood acute lymphoblastic leukaemia in which the ETV6–RUNX1 gene fusion is an early or initiating genetic lesion followed by a modest number of recurrent or ‘driver’ copy number alterations By multiplexing fluorescence in situ hybridization probes for these mutations, up to eight genetic abnormalities can be detected in single cells, a genetic signature of subclones identified and a composite picture of subclonal architecture and putative ancestral trees assembled Subclones in acute lymphoblastic leukaemia have variegated genetics and complex, nonlinear or branching evolutionary histories Copy number alterations are independently and reiteratively acquired in subclones of individual patients, and in no preferential order Clonal architecture is dynamic and is subject to change in the lead-up to a diagnosis and in relapse Leukaemia propagating cells, assayed by serial transplantation in NOD/SCID IL2Rγnull mice, are also genetically variegated, mirroring subclonal patterns, and vary in competitive regenerative capacity in vivo These data have implications for cancer genomics and for the targeted therapy of cancer Genome-wide analysis of cancer cells in individual patients has revealed extensive genetic heterogeneity Two groups have now mapped genetic homogeneity in patients with acute lymphoblastic leukaemia (ALL) Mel Greaves and colleagues obtained mutational profiles of large numbers of single cells from 60 individuals with ETV6–RUNX1-positive ALL, while John Dick and colleagues profile BCR-ABL1-positive ALL Both groups deduce the evolutionary path by which different subclones emerge during disease progression Leukaemia-propagating cells that transplant the disease mirror the genetic variegation of the bulk tumours, providing insight into the heterogeneity of these functional subpopulations at the genetic level This work has implications for therapeutic approaches targeting the tumours and specifically leukaemia-propagating cells Analysing single cells from human B-cell acute lymphoblastic leukaemias, this study maps the genetic heterogeneity of cells within a given tumour sample, the evolutionary path by which different subclones have emerged, and ongoing dynamic changes associated with relapse Leukaemia-propagating cells that transplant the disease mirror the genetic variegation of the bulk tumours, providing insights into the heterogeneity of these functional subpopulations at the genetic level This has implications for therapeutic approaches targeting the tumours and specifically leukaemia-propagating cells

Kristina Anderson

Papers

Genetic variegation of clonal architecture and propagating cells in leukaemia

Specific JAK2 mutation (JAK2R683) and multiple gene deletions in Down syndrome acute lymphoblastic leukemia.

Clonal origins of relapse in ETV6-RUNX1 acute lymphoblastic leukemia.