title: "Lineage addiction" in human cancer: lessons from integrated genomics.
abstract: Genome-era advances in the field of oncology endorse the notion that many tumors may prove vulnerable to targeted therapeutic avenues once their salient molecular alterations are elucidated. Accomplishing this requires both detailed genomic characterization and the ability to identify in situ the critical dependencies operant within individual tumors. To this end, DNA microarray platforms such as high-density single-nucleotide polymorphism (SNP) arrays enable large-scale cancer genome characterization, including copy number and loss-of-heterozygosity analyses at high resolution. Clustering analyses of SNP array data from a large collection of tumor samples and cell lines suggest that certain copy number alterations correlate strongly with the tissue of origin. Such lineage-restricted alterations may harbor novel cancer genes directing genesis or progression of tumors from distinct tissue types. We have explored this notion through combined analysis of genome-scale data sets from the NCI60 cancer cell line collection. Here, several melanoma cell lines clustered on the basis of increased dosage at a region of chromosome 3p containing the master melanocyte regulator MITF. Combined analysis of gene expression data and additional functional studies established MITF as an amplified oncogene in melanoma. MITF may therefore represent a nodal point within a critical lineage survival pathway operant in a subset of melanomas. These findings suggest that, like oncogene addiction, "lineage addiction" may represent a fundamental tumor survival mechanism with important therapeutic implications.
authors.affiliation: Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts 02115, USA.
authors.forename: L A
authors.initials: LA
authors.lastname: Garraway
authors.forename: B A
authors.initials: BA
authors.lastname: Weir
authors.forename: X
authors.initials: X
authors.lastname: Zhao
authors.forename: H
authors.initials: H
authors.lastname: Widlund
authors.forename: R
authors.initials: R
authors.lastname: Beroukhim
authors.forename: A
authors.initials: A
authors.lastname: Berger
authors.forename: D
authors.initials: D
authors.lastname: Rimm
authors.forename: M A
authors.initials: MA
authors.lastname: Rubin
authors.forename: D E
authors.initials: DE
authors.lastname: Fisher
authors.forename: M L
authors.initials: ML
authors.lastname: Meyerson
authors.forename: W R
authors.initials: WR
authors.lastname: Sellers
mesh_terms: D002893:Chromosomes, Human, Pair 3 / Q000235:genetics; D016000:Cluster Analysis; D004273:DNA, Neoplasm / Q000235:genetics; D005784:Gene Amplification; D018628:Gene Dosage; D020869:Gene Expression Profiling; D023281:Genomics / Q000379:methods* / Q000706:statistics & numerical data; D006801:Humans; D017404:In Situ Hybridization, Fluorescence; D008545:Melanoma / Q000235:genetics; D051739:Microphthalmia-Associated Transcription Factor / Q000235:genetics; D009369:Neoplasms / Q000235:genetics*; D020411:Oligonucleotide Array Sequence Analysis; D009857:Oncogenes; D020641:Polymorphism, Single Nucleotide
chemical_list: D004273:DNA, Neoplasm; C497234:MITF protein, human; D051739:Microphthalmia-Associated Transcription Factor