Emerging evidence showed that long noncoding RNA (lncRNA) plays crucial roles in regulating various cancer biological behaviors. Titin-antisense RNA1 (TTN-AS1) has been reported to have crucial roles in cancers but its role in ovarian cancer remains unknown. The levels of TTN-AS1, microNRA-15b-5p (miR-15b-5p), and F-box and WD repeat domain containing 7 (FBXW7) in ovarian cancer cells were measured by quantitative reverse-transcription PCR. Targets for TTN-AS1 and miR-15b-5p were predicted by bioinformatic tools, and validated by luciferase activity reporter assay. Cell proliferation, colony formation, and cell apoptosis were analyzed with cell counting kit-8 assay, colony formation assay, and flow cytometry. C... More
Emerging evidence showed that long noncoding RNA (lncRNA) plays crucial roles in regulating various cancer biological behaviors. Titin-antisense RNA1 (TTN-AS1) has been reported to have crucial roles in cancers but its role in ovarian cancer remains unknown. The levels of TTN-AS1, microNRA-15b-5p (miR-15b-5p), and F-box and WD repeat domain containing 7 (FBXW7) in ovarian cancer cells were measured by quantitative reverse-transcription PCR. Targets for TTN-AS1 and miR-15b-5p were predicted by bioinformatic tools, and validated by luciferase activity reporter assay. Cell proliferation, colony formation, and cell apoptosis were analyzed with cell counting kit-8 assay, colony formation assay, and flow cytometry. Correlation of TTN-AS1 and FBXW7 was analyzed at gene expression profiling interactive analysis. TTN-AS1 was found decreased expression in ovarian cancer tissues and cells. Dual-luciferase activity validated TTN-AS1 and FBXW7 shared binding site in miR-15b-5p. Functional assays showed TTN-AS1 overexpression inhibits ovarian cancer cell proliferation, colony formation but promotes apoptosis. Rescue experiments showed that knockdown of FBXW7 could partially counteracted the effects of TTN-AS1 overexpression on ovarian cancer cell behaviors. Our results indicated that the TTN-AS1/miR-15b-5p/FBXW7 axis identified in this work could help to identify treatment biomarkers for ovarian cancer.,© 2020 International Union of Biochemistry and Molecular Biology.
