2020
DOI: 10.3389/fcell.2020.581919
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PAQR3 Inhibits Non-small Cell Lung Cancer Growth by Regulating the NF-κB/p53/Bax Axis

Abstract: Background The expression of progestin and adipoQ receptor 3 (PAQR3) is generally downregulated in multiple tumors, which is associated with tumor progression and poor prognosis. Methods The clinical value of PAQR3 was analyzed using various databases and in 60 patients with non-small cell lung cancer (NSCLC). In addition, cell counting kit-8 (CCK-8), colony formation, and flow cytometry assays were used to evaluate the effect of PAQR3 on the growth of NSCLC cells … Show more

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Cited by 18 publications
(22 citation statements)
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“…With receiving more and more attention, an increasing number of key proteins have been identified in ALL 8–11 . PAQR3 has been uncovered to be a critical regulator into various cancers 15–18 . In particular, researchers found PAQR3 affect leukemic cells proliferation and apoptosis, 19 nevertheless, its role and relevant regulatory mechanism in ALL keeps unknown.…”
Section: Discussionmentioning
confidence: 99%
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“…With receiving more and more attention, an increasing number of key proteins have been identified in ALL 8–11 . PAQR3 has been uncovered to be a critical regulator into various cancers 15–18 . In particular, researchers found PAQR3 affect leukemic cells proliferation and apoptosis, 19 nevertheless, its role and relevant regulatory mechanism in ALL keeps unknown.…”
Section: Discussionmentioning
confidence: 99%
“…PAQR3 is one member of the PAQR family, a newly discovered tumor suppressor, and takes part in a variety of biological processes 13,14 . For instance, PAQR3 modulates the NF‐κB/p53/Bax axis to suppress non‐small‐cell lung cancer progression 15 . Furthermore, PAQR3 suppresses glioma progression by inactivating PI3K/Akt pathway 16 .…”
Section: Introductionmentioning
confidence: 99%
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“…Giemsa dye A was added in each well for 5 min and continued to be stained with dye B for 15 min. 19 The images were scanned with a microscope. The clone count was calculated.…”
Section: Methodsmentioning
confidence: 99%
“…Gene Set Enrichment Analysis (GSEA) was commonly used to evaluate the signaling mechanisms involved in influencing factors. In this study, we divided the TCGA NSCLC gene expression data into high-and low-risk groups based on the median value of risk scores, and the signaling mechanisms involved in the high-and low-risk groups were explored via the GSEA (13). The program was run for 1,000 cycles, and nominal P value (NOM P) <0.05 was used as the screening criterion.…”
Section: The Signaling Mechanisms Of the Risk Modelmentioning
confidence: 99%