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Molecular mechanisms and pathobiology of oncogenic fusion transcripts in epithelial tumors.

ABSTRACT: Recurrent fusion transcripts, which are one of the characteristic hallmarks of cancer, arise either from chromosomal rearrangements or from transcriptional errors in splicing. DNA rearrangements include intrachromosomal or interchromosomal translocation, tandem duplication, deletion, inversion, or result from chromothripsis, which causes complex rearrangements. In addition, fusion proteins can be created through transcriptional read-through. Fusion genes can be transcribed to fusion transcripts and translated to chimeric proteins, with many having demonstrated transforming activities through multiple mechanisms in cells. Fusion proteins represent novel therapeutic targets and diagnostic biomarkers of diagnosis, disease status, or progression. This review focuses on the mechanisms underlying the formation of oncogenic fusion genes and transcripts and their impact on the pathobiology of epithelial tumors.

SUBMITTER: Tuna M

PROVIDER: S-EPMC6459343 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature

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Molecular mechanisms and pathobiology of oncogenic fusion transcripts in epithelial tumors.

Tuna Musaffe M Amos Christopher I CI Mills Gordon B GB

Oncotarget 20190312 21

Recurrent fusion transcripts, which are one of the characteristic hallmarks of cancer, arise either from chromosomal rearrangements or from transcriptional errors in splicing. DNA rearrangements include intrachromosomal or interchromosomal translocation, tandem duplication, deletion, inversion, or result from chromothripsis, which causes complex rearrangements. In addition, fusion proteins can be created through transcriptional read-through. Fusion genes can be transcribed to fusion transcripts ...[more]

PMID: 31007851

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Project description:Kinase activation by chromosomal translocations is a common mechanism that drives tumorigenesis in spitzoid neoplasms. To explore the landscape of fusion transcripts in these tumors, we performed whole-transcriptome sequencing using formalin-fixed, paraffin-embedded (FFPE) tissues in malignant or biologically indeterminate spitzoid tumors from 7 patients (age 2-14 years). RNA sequence libraries enriched for coding regions were prepared and the sequencing was analyzed by a novel assembly-based algorithm designed for detecting complex fusions. In addition, tumor samples were screened for hotspot TERT promoter mutations, and telomerase expression was assessed by TERT mRNA in situ hybridization (ISH). Two patients had widespread metastasis and subsequently died of disease, and 5 patients had a benign clinical course on limited follow-up (mean: 30 months). RNA sequencing and TERT mRNA ISH were successful in six tumors and unsuccessful in one disseminating tumor because of low RNA quality. RNA sequencing identified a kinase fusion in five of the six sequenced tumors: TPM3-NTRK1 (2 tumors), complex rearrangements involving TPM3, ALK, and IL6R (1 tumor), BAIAP2L1-BRAF (1 tumor), and EML4-BRAF (1 disseminating tumor). All predicted chimeric transcripts were expressed at high levels and contained the intact kinase domain. In addition, two tumors each contained a second fusion gene, ARID1B-SNX9 or PTPRZ1-NFAM1. The detected chimeric genes were validated by home-brew break-apart or fusion fluorescence in situ hybridization (FISH). The two disseminating tumors each harbored the TERT promoter -124C>T (Chr 5:1,295,228 hg19 coordinate) mutation, whereas the remaining five tumors retained the wild-type gene. The presence of the -124C>T mutation correlated with telomerase expression by TERT mRNA ISH. In summary, we demonstrated complex fusion transcripts and novel partner genes for BRAF by RNA sequencing of FFPE samples. The diversity of gene fusions demonstrated by RNA sequencing defines the molecular heterogeneity of spitzoid neoplasms.

Dataset Information

Molecular mechanisms and pathobiology of oncogenic fusion transcripts in epithelial tumors.

Publications

Molecular mechanisms and pathobiology of oncogenic fusion transcripts in epithelial tumors.

Similar Datasets

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