Purpose: Krüppel-like factor 15 (KLF15) is a transcription factor that is involved in various biological processes, including cellular proliferation, differentiation and death. In addition, KLF15 has recently been implicated in the development of several human malignancies, including breast cancer. In vitro breast cancer studies have pointed at a putative role in the regulation of cell proliferation. As yet, however, KLF15 expression analyses in primary human breast cancers have not been reported. Here, we set out to investigate the clinical and biological significance of KLF15 expression in human breast cancers.
Methods: KLF15 expression was evaluated by immunohistochemistry in 54 primary invasive ductal breast carcinomas, and its status was correlated with various clinicopathological parameters. We also assessed KLF15 expression in vitro in 4 breast cancer-derived cell lines using Western blotting, and examined the effects of exogenous KLF15 expression on cell cycle progression using flow cytometry. Concomitant (changes in) p21, p27 and TOPO2A expression levels were examined using real-time RT-PCR and immunocytochemistry, respectively.
Results: In ~90% of the primary breast carcinoma tissues tested, KLF15 was found to be expressed and localized in either the cytoplasm, the nucleus or both. Predominant nuclear immunoreactivity was found to be associated with clinicopathological factors predicting a better clinical outcome (i.e., ER positive, HER2 negative, low grade, low Ki-67 expression). The breast cancer-derived cell lines tested showed a low KLF15 expression with a predominant cytoplasmic localization. Subsequent exogenous KLF15 over-expression resulted in a predominant nuclear localization and a concomitant decreased cellular proliferation and an arrest at the G0/G1 phase of the cell cycle. In addition, we found that nuclear KLF15 expression results in up-regulation of p21, a pivotal suppressor of the G1 to S phase transition of the cell cycle.
Conclusions: Our results indicate that nuclear KLF15 expression suppresses breast cancer cell proliferation at least partially through p21 up-regulation and subsequent cell cycle arrest. This is a first study addressing the role of KLF15 in breast cancer development.
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http://dx.doi.org/10.1007/s13402-015-0226-8 | DOI Listing |
Mol Brain
January 2025
Department of Physiology, School of Basic Medical Sciences, Anhui Medical University, Hefei, Anhui, 230032, China.
Kruppel-like factor 15 (KLF15), a member of the KLF family, is closely involved in many biological processes. However, the mechanism by which KLF15 regulates neural development is still unclear. Considering the complexity and importance of neural network development, in this study, we investigated the potent regulatory role of KLF15 in neural network development.
View Article and Find Full Text PDFJ Gastroenterol Hepatol
December 2024
Department of Anesthesiology, The Third Affiliated Hospital of Suzhou University, The First People's Hospital of Changzhou, Changzhou, China.
Epigenomics
January 2025
Division of Cardiology, Departments of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China.
Aim: Diabetic cardiomyopathy (DbCM), a complex metabolic disease, greatly threatens human health due to therapeutic limitations. Multi-omics approaches facilitate the elucidation of its intrinsic pathological changes.
Methods: Metabolomics, RNA-seq, proteomics, and assay of transposase-accessible chromatin (ATAC-seq) were utilized to elucidate multidimensional molecular alterations in DbCM.
Viruses
October 2024
Department of Veterinary Pathobiology, College of Veterinary Medicine, Oklahoma State University, Stillwater, OK 74078, USA.
Gynecol Endocrinol
December 2024
Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Objective: Polycystic ovary syndrome (PCOS) is a prevalent cause of menstrual irregularities and infertility in women, impacting quality of life. Despite advancements, current understanding of PCOS pathogenesis and treatment remains limited. This study uses machine learning-based data mining to identify acetylation-related genetic markers associated with PCOS, aiming to enhance diagnostic precision and therapeutic efficacy.
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