Non-coding RNAs and estrogen receptor signaling in breast cancer: Nanotechnology-based therapeutic approaches.
Amer Al AliTareg M BelaliMohammed H Abu-AlghaythYara AlyahyawiAdil AbalkhailAli HazaziSomia A NassarFarhan R KhanHumood Al ShmranyShoaeb Mohammad SyedPublished in: Pathology, research and practice (2024)
This review investigates the regulatory role of non-coding RNAs (ncRNAs) in estrogen receptor (ER) signaling pathways, particularly in the context of breast cancer therapy, with an emphasis on the emerging potential of nanotechnology for drug delivery. The information was obtained from reputable databases, including PubMed, Elsevier, Springer, Wiley, Taylor, and Francis, which contain past and present research. Breast cancer remains the most prevalent cancer among women worldwide, and ER signaling mechanisms heavily influence its progression. Treatment options have traditionally encompassed surgery, chemotherapy, radiation therapy, targeted therapy, and hormone therapy. In recent decades, nanomedicine has emerged as a promising approach to breast cancer treatment. By passively targeting tumor cells and reducing toxicity, nanodrugs can overcome the challenges of conventional chemotherapy. Additionally, nanocarriers can stimulate tumor cells, enhancing treatment efficacy. Recent advancements in nanomedicine offer promising approaches for targeted cancer therapy, potentially overcoming the limitations of conventional treatments. This review explores the interactions between long non-coding RNAs (lncRNAs) and microRNAs (miRNAs) with ER pathways, their impact on breast cancer progression, and how these interactions can be leveraged to enhance therapeutic efficacy through nanotechnology-based drug delivery systems.
Keyphrases
- cancer therapy
- estrogen receptor
- drug delivery
- long non coding rna
- radiation therapy
- locally advanced
- breast cancer risk
- drug release
- signaling pathway
- minimally invasive
- poor prognosis
- papillary thyroid
- squamous cell carcinoma
- stem cells
- type diabetes
- transcription factor
- polycystic ovary syndrome
- machine learning
- mesenchymal stem cells
- young adults
- pi k akt
- combination therapy
- metabolic syndrome
- lymph node metastasis
- pregnancy outcomes
- climate change
- skeletal muscle
- induced apoptosis
- health information
- endoplasmic reticulum stress
- breast cancer cells