1
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Baicalin Blocks Colon Cancer Cell Cycle and Inhibits Cell Proliferation through miR-139-3p Upregulation by Targeting CDK16

      Read this article at

      ScienceOpenPublisher
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Baicalin was reported to facilitate the apoptosis of colon cells and inhibit tumor growth in vivo. This study aimed to explore the specific mechanism and function of baicalin on colon cells. Relative mRNA levels were tested via qPCR. Cell proliferation, viability, and cell cycle phases were evaluated using MTT, colony formation, and flow cytometry assays, respectively. The interaction between miR-139-3p and cyclin-dependent kinase 16 (CDK16) was measured via a dual-luciferase reporter assay. Immunohistochemistry was used to count the positivity cells in tumor tissues collected from treated xenografted tumor mice. The results showed that baicalin increased miR-139-3p expression while also decreasing CDK16 levels, blocking the cell cycle, and inhibiting cell proliferation in colon cancer cells. miR-139-3p silencing or CDK16 overexpression abolished the inhibitory effects of baicalin on colon cancer proliferation. miR-139-3p directly targeted and interacted with CDK16 at the cellular level. The protective functions of miR-139-3p knockdown on tumor cells were abrogated by silencing CDK16. The combination of baicalin treatment and CDK16 knockdown further inhibited tumor growth of xenografted tumor mice compared with the groups injected with only sh-CDK16 or baicalin in vivo. In conclusion, baicalin inhibited colon cancer growth by modulating the miR-139-3p/CDK16 axis.

          Related collections

          Most cited references30

          • Record: found
          • Abstract: found
          • Article: not found

          Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012.

          Estimates of the worldwide incidence and mortality from 27 major cancers and for all cancers combined for 2012 are now available in the GLOBOCAN series of the International Agency for Research on Cancer. We review the sources and methods used in compiling the national cancer incidence and mortality estimates, and briefly describe the key results by cancer site and in 20 large "areas" of the world. Overall, there were 14.1 million new cases and 8.2 million deaths in 2012. The most commonly diagnosed cancers were lung (1.82 million), breast (1.67 million), and colorectal (1.36 million); the most common causes of cancer death were lung cancer (1.6 million deaths), liver cancer (745,000 deaths), and stomach cancer (723,000 deaths). © 2014 UICC.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            MicroRNAs in cancer.

            Within the past few years, studies on microRNA (miRNA) and cancer have burst onto the scene. Profiling of the miRNome (global miRNA expression levels) has become prevalent, and abundant miRNome data are currently available for various cancers. The pattern of miRNA expression can be correlated with cancer type, stage, and other clinical variables, so miRNA profiling can be used as a tool for cancer diagnosis and prognosis. miRNA expression analyses also suggest oncogenic (or tumor-suppressive) roles of miRNAs. miRNAs play roles in almost all aspects of cancer biology, such as proliferation, apoptosis, invasion/metastasis, and angiogenesis. Given that many miRNAs are deregulated in cancers but have not yet been further studied, it is expected that more miRNAs will emerge as players in the etiology and progression of cancer. Here we also discuss miRNAs as a tool for cancer therapy.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              Cyclin-dependent kinases

              Summary Cyclin-dependent kinases (CDKs) are protein kinases characterized by needing a separate subunit - a cyclin - that provides domains essential for enzymatic activity. CDKs play important roles in the control of cell division and modulate transcription in response to several extra- and intracellular cues. The evolutionary expansion of the CDK family in mammals led to the division of CDKs into three cell-cycle-related subfamilies (Cdk1, Cdk4 and Cdk5) and five transcriptional subfamilies (Cdk7, Cdk8, Cdk9, Cdk11 and Cdk20). Unlike the prototypical Cdc28 kinase of budding yeast, most of these CDKs bind one or a few cyclins, consistent with functional specialization during evolution. This review summarizes how, although CDKs are traditionally separated into cell-cycle or transcriptional CDKs, these activities are frequently combined in many family members. Not surprisingly, deregulation of this family of proteins is a hallmark of several diseases, including cancer, and drug-targeted inhibition of specific members has generated very encouraging results in clinical trials.
                Bookmark

                Author and article information

                Journal
                The American Journal of Chinese Medicine
                Am. J. Chin. Med.
                World Scientific Pub Co Pte Ltd
                0192-415X
                1793-6853
                January 2023
                January 04 2023
                January 2023
                : 51
                : 01
                : 189-203
                Affiliations
                [1 ]Clinical College of Chinese Medicine, Hubei University of Chinese Medicine, Wuhan 430061, Hubei Province, P. R. China
                [2 ]Department of Oncology, Wuhan Hospital of Traditional Chinese and Western Medicine, Wuhan 430022, Hubei Province, P. R. China
                Article
                10.1142/S0192415X23500118
                efa2b643-e4d9-48d5-b00a-7bb041d746cd
                © 2023
                History

                Comments

                Comment on this article