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Specific gene expression signatures of low grade meningiomas.
Tsitsikov, Erdyni N; Hameed, Sanaa; Tavakol, Sherwin A; Stephens, Tressie M; Tsytsykova, Alla V; Garman, Lori; Bi, Wenya Linda; Dunn, Ian F.
Afiliação
  • Tsitsikov EN; Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States.
  • Hameed S; Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States.
  • Tavakol SA; Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States.
  • Stephens TM; Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States.
  • Tsytsykova AV; Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States.
  • Garman L; Department of Microbiology and Immunology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States.
  • Bi WL; Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.
  • Dunn IF; Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States.
Front Oncol ; 13: 1126550, 2023.
Article em En | MEDLINE | ID: mdl-36937440
Introduction: Meningiomas are the most common primary central nervous system (CNS) tumors in adults, representing approximately one-third of all primary adult CNS tumors. Although several recent publications have proposed alternative grading systems of meningiomas that incorporate genomic and/or epigenomic data to better predict meningioma recurrence and progression-free survival, our understanding of driving forces of meningioma development is still limited. Objective: To define gene expression signatures of the most common subtypes of meningiomas to better understand cellular processes and signaling pathways specific for each tumor genotype. Methods: We used RNA sequencing (RNA-seq) to determine whole transcriptome profiles of twenty meningiomas with genomic alterations including NF2 inactivation, loss of chr1p, and missense mutations in TRAF7, AKT1 and KLF4. Results: The analysis revealed that meningiomas with NF2 gene inactivation expressed higher levels of BCL2 and GLI1 compared with tumors harboring TRAF7 missense mutations. Moreover, NF2 meningiomas were subdivided into two distinct groups based on additional loss of chr1p. NF2 tumors with intact chr1p were characterized by the high expression of tumor suppressor PTCH2 compared to NF2 tumors with chr1p loss. Taken together with the high expression of BCL2 and GLI1, these results suggest that activation of Sonic Hedgehog pathway may contribute to NF2 meningioma development. In contrast, NF2 tumors with chr1p loss expressed high levels of transcription factor FOXD3 and its antisense RNA FOXD3-AS1. Examination of TRAF7 tumors demonstrated that TRAF7 regulates a number of biomechanically responsive genes (KRT6a, KRT16, IL1RL1, and AQP3 among others). Interestingly, AKT1 and KLF4 meningiomas expressed genes specific for PI3K/AKT signaling pathway, suggesting overlapping gene signatures between the two subtypes. In addition, KLF4 meningiomas had high expression of carcinoembryonic antigen family members CEACAM6 and CEACAM5. Conclusions: Each group of meningiomas displayed a unique gene expression signature suggesting signaling pathways potentially implicated in tumorigenesis. These findings will improve our understanding of meningioma tumorigenesis and prognosis.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article