Europe PMC

This website requires cookies, and the limited processing of your personal data in order to function. By using the site you are agreeing to this as outlined in our privacy notice and cookie policy.

Abstract 


The diagnosis and treatment of non-small cell lung cancer (NSCLC) are not ideal. We identified NSCLC-related has_circ_0006423 in database. qRT-PCR was used to measure expression levels of hsa_circ_0006423 and miR-492 in the plasma and tissue samples, and 3 NSCLC cell lines, respectively. We analyzed the relationship between expression levels of hsa_circ_0006423 and clinicopathological factors and miR-492 expression in plasma and tissue samples. Assess the diagnostic value of hsa_circ_0006423 and miR-492 in NSCLC. Cell function vitro experiment to explore the effect of has_circ_0006423 on NSCLC. We found has_circ_0006423 is lower expressed in NSCLC and miR-492 is opposite, has_circ_0006423 and miR-492 has diagnostic value in NSCLC. In A549 and NCI-H1299 cells, hsa_circ_0006423 inhibited the proliferation, migration, and invasion of NSCLC cells by sponging miR-492 and accelerating NSCLC cell apoptosis. This effect may be due to the combination of has_circ_0006423 and miR-492 affecting the progression of NSCLC.

Free full text 


loading

Citations & impact 


Impact metrics

Jump to Citations

Citations of article over time

loading

Article citations

loading

Similar Articles 


To arrive at the top five similar articles we use a word-weighted algorithm to compare words from the Title and Abstract of each citation.


    Funding 


    Funders who supported this work.

    Beijing Science And Technology Innovation Medical Development Foundation (1)

    • Grant ID: KC2021-JX-0186-12

    Natural Science Foundation of Ningbo Municipality (1)

    • Grant ID: 202003N4269

    Ningbo Health Branding Subject Fund (1)

    • Grant ID: PPXK2018-01

    Ningbo Medical Science and Technology Plan Project (1)

    • Grant ID: 2020Y01

    Zhejiang Medical and Health Science and Technology Plan Project (1)

    • Grant ID: 2022KY1095

    • Annotations
      In full text (266)

    • Save

    • Open PDF

    • Claim to ORCID