Article: Genomic and transcriptomic analyses of thyroid cancers identify DICER1 somatic mutations in adult follicular-patterned RAS-like tumors.
2023 Volume 14, Page(s) 1267499
Abstract: Background: Papillary thyroid carcinoma (PTC) is the most common type of thyroid cancer (TC). Several genomic and transcriptomic studies explored the molecular landscape of follicular cell-derived TCs, and : Methods: Here, we report the molecular ... ...
| Abstract | Background: Papillary thyroid carcinoma (PTC) is the most common type of thyroid cancer (TC). Several genomic and transcriptomic studies explored the molecular landscape of follicular cell-derived TCs, and Methods: Here, we report the molecular characterization of 30 retrospective follicular cell-derived thyroid tumors, comprising PTCs (90%) and poorly differentiated TCs (10%), collected at our Institute. We performed DNA whole-exome sequencing using patient-matched control for somatic mutation calling, and targeted RNA-seq for gene fusion detection. Transcriptional profiles established in the same cohort by microarray were investigated using three signaling-related gene signatures derived from The Cancer Genome Atlas (TCGA). Results: The occurrence of Conclusion: Even though small, our series recapitulates the genetic background of PTC. Furthermore, we identified |
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| MeSH term(s) | Humans ; Adult ; Transcriptome ; Retrospective Studies ; Protein-Tyrosine Kinases ; Proto-Oncogene Proteins/genetics ; Thyroid Neoplasms/genetics ; Thyroid Neoplasms/pathology ; Thyroid Cancer, Papillary/genetics ; Thyroid Cancer, Papillary/pathology ; Mutation ; Genomics ; Ribonuclease III/genetics ; DEAD-box RNA Helicases/genetics |
| Chemical Substances | Protein-Tyrosine Kinases (EC 2.7.10.1) ; Proto-Oncogene Proteins ; DICER1 protein, human (EC 3.1.26.3) ; Ribonuclease III (EC 3.1.26.3) ; DEAD-box RNA Helicases (EC 3.6.4.13) |
| Language | English |
| Publishing date | 2023-10-05 |
| Publishing country | Switzerland |
| Document type | Journal Article ; Research Support, Non-U.S. Gov't |
| ZDB-ID | 2592084-4 |
| ISSN | 1664-2392 |
| ISSN | 1664-2392 |
| DOI | 10.3389/fendo.2023.1267499 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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