Di- and Triselenoesters-Promising Drug Candidates for the Future Therapy of Triple-Negative Breast Cancer.
Dominika RadomskaRobert CzarnomysyAnna SzymanowskaDominik RadomskiMagda ChaleckaArkadiusz SurażyńskiEnrique Domínguez-ÁlvarezAnna BielawskaKrzysztof BielawskiPublished in: International journal of molecular sciences (2024)
Breast cancer is a major malignancy among women, characterized by a high mortality rate. The available literature evidence indicates that selenium, as a trace element, has chemopreventive properties against many types of cancer; as such, compounds containing it in their structure may potentially exhibit anticancer activity. Accordingly, we have undertaken a study to evaluate the effects of novel selenoesters (EDAG-1, -7, -8, -10) on MCF-7 and MDA-MB-231 breast cancer cells. Our analysis included investigations of cell proliferation and viability as well as cytometric determinations of apoptosis/autophagy induction, changes in mitochondrial membrane polarity (ΔΨ m ), caspase 3/7, 8, and 9 activities, and Bax, Bcl-2, p53, Akt, AMPK, and LC3A/B proteins. The obtained data revealed that the tested derivatives are highly cytotoxic and inhibit cell proliferation even at nanomolar doses (0.41-0.79 µM). Importantly, their strong proapoptotic properties (↑ caspase 3/7) are attributable to the effects on both the extrinsic (↑ caspase 8) and intrinsic (↓ ΔΨ m and Bcl-2, ↑ Bax, p53, and caspase 9) pathways of apoptosis. Moreover, the tested compounds are autophagy activators (↓ Akt, ↑ autophagosomes and autolysosomes, AMPK, LC3A/B). In summary, the potent anticancer activity suggests that the tested compounds may be promising drug candidates for future breast cancer therapy.
Keyphrases
- induced apoptosis
- endoplasmic reticulum stress
- cell death
- cell proliferation
- breast cancer cells
- cell cycle arrest
- oxidative stress
- signaling pathway
- pi k akt
- cancer therapy
- cell cycle
- current status
- skeletal muscle
- systematic review
- simultaneous determination
- mass spectrometry
- stem cells
- drug delivery
- electronic health record
- cardiovascular events
- papillary thyroid
- metabolic syndrome
- squamous cell carcinoma
- biofilm formation
- machine learning
- big data
- cardiovascular disease
- type diabetes
- pseudomonas aeruginosa
- single cell
- liquid chromatography
- heavy metals
- childhood cancer
- breast cancer risk
- adipose tissue
- coronary artery disease
- protein kinase
- young adults
- pregnant women
- anti inflammatory
- squamous cell
- adverse drug
- mesenchymal stem cells
- lymph node metastasis
- deep learning
- staphylococcus aureus
- bone marrow