Non-coding RNAs, a double-edged sword in breast cancer prognosis.
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| Název: | Non-coding RNAs, a double-edged sword in breast cancer prognosis. |
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| Autoři: | Solaimani, Maryam, Hosseinzadeh, Sahar, Abasi, Mozhgan |
| Zdroj: | Cancer Cell International; 4/1/2025, Vol. 25 Issue 1, p1-31, 31p |
| Témata: | LINCRNA, MEDICAL sciences, NON-coding RNA, BREAST cancer prognosis, CELLULAR control mechanisms |
| Abstrakt: | Cancer is a rising issue worldwide, and numerous studies have focused on understanding the underlying reasons for its occurrence and finding proper ways to defeat it. By applying technological advances, researchers are continuously uncovering and updating treatments in cancer therapy. Their vast functions in the regulation of cell growth and proliferation and their significant role in the progression of diseases, including cancer. This review provides a comprehensive analysis of ncRNAs in breast cancer, focusing on long non-coding RNAs such as HOTAIR, MALAT1, and NEAT1, as well as microRNAs such as miR-21, miR-221/222, and miR-155. These ncRNAs are pivotal in regulating cell proliferation, metastasis, drug resistance, and apoptosis. Additionally, we discuss experimental approaches that are useful for studying them and highlight the advantages and challenges of each method. We then explain the results of these clinical trials and offer insights for future studies by discussing major existing gaps. On the basis of an extensive number of studies, this review provides valuable insights into the potential of ncRNAs in cancer therapy. Key findings show that even though the functions of ncRNAs are vast and undeniable in cancer, there are still complications associated with their therapeutic use. Moreover, there is an absence of sufficient experiments regarding their application in mouse models, which is an area to work on. By emphasizing the crucial role of ncRNAs, this review underscores the need for innovative approaches and further studies to explore their potential in cancer therapy. [ABSTRACT FROM AUTHOR] |
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| Databáze: | Biomedical Index |
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