Identification of a Novel Oncogenic Fusion Gene SPON1-TRIM29 in Clinical Ovarian Cancer That Promotes Cell and Tumor Growth and Enhances Chemoresistance in A2780 Cells.
Saya NagasawaKazuhiro IkedaDaisuke ShintaniChiujung YangSatoru TakedaKosei HasegawaKuniko HorieSatoshi InoueiPublished in: International journal of molecular sciences (2022)
Gene structure alterations, such as chromosomal rearrangements that develop fusion genes, often contribute to tumorigenesis. It has been shown that the fusion genes identified in public RNA-sequencing datasets are mainly derived from intrachromosomal rearrangements. In this study, we explored fusion transcripts in clinical ovarian cancer specimens based on our RNA-sequencing data. We successfully identified an in-frame fusion transcript SPON1-TRIM29 in chromosome 11 from a recurrent tumor specimen of high-grade serous carcinoma (HGSC), which was not detected in the corresponding primary carcinoma, and validated the expression of the identical fusion transcript in another tumor from a distinct HGSC patient. Ovarian cancer A2780 cells stably expressing SPON1-TRIM29 exhibited an increase in cell growth, whereas a decrease in apoptosis was observed, even in the presence of anticancer drugs. The siRNA-mediated silencing of SPON1-TRIM29 fusion transcript substantially impaired the enhanced growth of A2780 cells expressing the chimeric gene treated with anticancer drugs. Moreover, a subcutaneous xenograft model using athymic mice indicated that SPON1-TRIM29 -expressing A2780 cells rapidly generated tumors in vivo compared to control cells, whose growth was significantly repressed by the fusion-specific siRNA administration. Overall, the SPON1-TRIM29 fusion gene could be involved in carcinogenesis and chemotherapy resistance in ovarian cancer, and offers potential use as a diagnostic and therapeutic target for the disease with the fusion transcript.
Keyphrases
- induced apoptosis
- cell cycle arrest
- high grade
- genome wide
- endoplasmic reticulum stress
- copy number
- single cell
- rna seq
- healthcare
- poor prognosis
- gene expression
- emergency department
- type diabetes
- stem cells
- metabolic syndrome
- pi k akt
- long non coding rna
- mental health
- cell therapy
- drug delivery
- adipose tissue
- mesenchymal stem cells
- risk assessment
- drug induced
- low grade
- cancer stem cells