Evaluation of MDA-MB-468 Cell Culture Media Analysis in Predicting Triple-Negative Breast Cancer Patient Sera Metabolic Profiles

Metabolomics and triple-negative breast cancer: A systematic review

Triple-negative breast cancer stands out as the most aggressive subtype of breast malignancy and is characterized by an unfavourable prognosis. Objective: This systematic review summarizes the insights gleaned from metabolomic analyses of individuals afflicted with this cancer variant. The overarching goal was to delineate the molecular alterations associated with triple-negative breast cancer, pinpointing potential therapeutic targets and novel biomarkers. Methods: We systematically searched for evidence using the PubMed database and followed the PRISMA and STARLITE guidelines. The search parameters were delimited to articles published within the last 13 years. Results: From an initial pool of 148 scrutinized articles, 17 studies involving 1686 participants were deemed eligible for inclusion. The current body of research shows a paucity of studies, and the available evidence presents conflicting outcomes. Notwithstanding, Pathway Enrichment Analysis identified the urea and glucose-alanine cycles as the most affected metabolic pathways, followed by arginine, proline, and aspartate metabolism. Conclusion: Future investigations need to focus on elucidating which of those metabolites and/or pathways might be reliable candidates for novel therapeutic interventions or reliable biomarkers for diagnosis and prognosis of this subtype of breast cancer.

Dually Active Apigenin-Loaded Nanostructured Lipid Carriers for Cancer Treatment

Purpose

Cancer is one of the major causes of death worldwide affecting more than 19 million people. Traditional cancer therapies have many adverse effects and often result in unsatisfactory outcomes. Natural flavones, such as apigenin (APG), have demonstrated excellent antitumoral properties. However, they have a low aqueous solubility. To overcome this drawback, APG can be encapsulated in nanostructured lipid carriers (NLC). Therefore, we developed dual NLC encapsulating APG (APG-NLC) with a lipid matrix containing rosehip oil, which is known for its anti-inflammatory and antioxidant properties.

Methods

Optimisation, physicochemical characterisation, biopharmaceutical behaviour, and therapeutic efficacy of this novel nanostructured system were assessed.

Results

APG-NLC were optimized obtaining an average particle size below 200 nm, a surface charge of -20 mV, and an encapsulation efficiency over 99%. The APG-NLC released APG in a sustained manner, and the results showed that the formulation was stable for more than 10 months. In vitro studies showed that APG-NLC possess significant antiangiogenic activity in ovo and selective antiproliferative activity in several cancer cell lines without exhibiting toxicity in healthy cells.

Conclusion

APG-NLC containing rosehip oil were optimised. They exhibit suitable physicochemical parameters, storage stability for more than 10 months, and prolonged APG release. Moreover, APG-NLC were internalised inside tumour cells, showing the capacity to cause cytotoxicity in cancer cells without damaging healthy cells.

Updates on Triple-Negative Breast Cancer in Type 2 Diabetes Mellitus Patients: From Risk Factors to Diagnosis, Biomarkers and Therapy

Triple-negative breast cancer (TNBC) is usually the most malignant and aggressive mammary epithelial tumor characterized by the lack of expression for estrogen receptors and progesterone receptors, and the absence of epidermal growth factor receptor (HER)2 amplification. Corresponding to 15-20% of all breast cancers and well-known by its poor clinical outcome, this negative receptor expression deprives TNBC from targeted therapy and makes its management therapeutically challenging. Type 2 diabetes mellitus (T2DM) is the most common ageing metabolic disorder due to insulin deficiency or resistance resulting in hyperglycemia, hyperinsulinemia, and hyperlipidemia. Due to metabolic and hormonal imbalances, there are many interplays between both chronic disorders leading to increased risk of breast cancer, especially TNBC, diagnosed in T2DM patients. The purpose of this review is to provide up-to-date information related to epidemiology and clinicopathological features, risk factors, diagnosis, biomarkers, and current therapy/clinical trials for TNBC patients with T2DM compared to non-diabetic counterparts. Thus, in-depth investigation of the diabetic complications on TNBC onset, development, and progression and the discovery of biomarkers would improve TNBC management through early diagnosis, tailoring therapy for a better outcome of T2DM patients diagnosed with TNBC.

NMR-Based Metabolomics to Evaluate Individual Response to Treatments

The aim of this chapter is to highlight the various aspects of metabolomics in relation to health and diseases, starting from the definition of metabolic space and of how individuals tend to maintain their own position in this space. Physio-pathological stimuli may cause individuals to lose their position and then regain it, or move irreversibly to other positions. By way of examples, mostly selected from our own work using ¹H NMR on biological fluids, we describe the effects on the individual metabolomic fingerprint of mild external interventions, such as diet or probiotic administration. Then we move to pathologies (such as celiac disease, various types of cancer, viral infections, and other diseases), each characterized by a well-defined metabolomic fingerprint. We describe the effects of drugs on the disease fingerprint and on its reversal to a healthy metabolomic status. Drug toxicity can be also monitored by metabolomics. We also show how the individual metabolomic fingerprint at the onset of a disease may discriminate responders from non-responders to a given drug, or how it may be prognostic of e.g., cancer recurrence after many years. In parallel with fingerprinting, profiling (i.e., the identification and quantification of many metabolites and, in the case of selected biofluids, of the lipoprotein components that contribute to the ¹H NMR spectral features) can provide hints on the metabolic pathways that are altered by a disease and assess their restoration after treatment.

Peptide-based targeted cancer therapeutics: design, synthesis and biological evaluation

Cancer is the leading cause for human mortality together with cardiovascular diseases. Abl (Abelson) tyrosine kinases play a fundamental role in transducing various signals that control proliferation, survival, migration and invasion in several cancers such as Chronic Myeloid Leukemia (CML), breast cancer and brain cancer. For these reasons Abl tyrosine kinases are considered important biological targets in drug discovery. In this study a series of lysine-based oligopeptides with expected Abl inhibitory activity were designed resembling the binding of FDA-approved drugs (i.e. of Imatinib and Nilotinib), synthesized, purified by High Performance Liquid Chromatography (HPLC), analyzed by mass spectrometry (MS) and biologically tested in vitro in CML (AR-230 and K-562), breast cancers (MDA-MB 231 and MDA-MB 468) and glioblastoma cell lines (U87 and U118). The solid-phase peptide synthesis (SPPS) by Fmoc (9-fluorenylmethoxycarbonyl) chemistry was used to synthesize target compounds. AutoDock Vina was applied for simulation binding to Abl. The biological activities were measured evaluating cytotoxic effect, induction of apoptosis and inhibition of cancer cells migration. The new peptides exhibited different concentration-dependent antiproliferative effect against the tumor cell lines after 72 h treatment. The most promising results were obtained with the U87 glioblastoma cell line where a significant reduction of the migration ability was detected with one compound (H-Lys¹-Lys²-Lys³-NH₂).

Radix Tetrastigma Extracts Enhance the Chemosensitivity in Triple-Negative Breast Cancer Via Inhibiting PI3K/Akt/mTOR-Mediated Autophagy

OBJECTIVE

Drug resistance in tumors is one of the major factors that leads to chemotherapy failure. This study aims to investigate the effect of Radix Tetrastigma extracts (RTEs) on Taxol-induced autophagy and the chemosensitivity against drug resistance in triple-negative breast cancer (TNBC).

METHODS

Taxol-resistant MDA-MB-468 (MDA-MB-468/Taxol) cells were induced and treated with RTEs and/or Taxol. Mice were subcutaneously inoculated with MDA-MB- 468/Taxol cells to establish xenograft models. The associated protein levels were measured by western blotting. Flow cytometry, CCK-8 and EdU assay were performed to detect cell apoptosis, viability, and proliferation, respectively.

RESULTS

In MDA-MB-468/Taxol cells, RTEs & Taxol treatment increased cell apoptosis, reduced cell viability and proliferation, up-regulated anti-autophagy marker LC3I/LC3II ratio, and enhanced mTOR level. With RTEs & Taxol treatment, mTOR silencing downregulated LC3I/LC3II ratio, increased cell viability and proliferation, and reduced cell apoptosis, while mTOR overexpression showed the opposite results. PI3K inhibitor reduced AKT and mTOR levels, and the effects on cell activities were similar to the results of mTOR silencing. After RTEs & Taxol injection, xenograft tumor was smaller, and AKT, mTOR, LC3I/LC3II ratio and apoptotic marker cleaved caspase-3 were increased.

CONCLUSION

RTEs enhanced the chemosensitivity of resistant TNBC cells to Taxol through inhibiting PI3K/Akt/mTOR-mediated autophagy.

MICRO

RTEs exerted anti-tumor effects in various cancers, and this study determined its role in TNBC. Taxol-resistant MDA-MB-468 cells were induced and xenograft models were established. We found that RTEs inhibited autophagy of MDA-MB-468/Taxol cells and reduced tumor growth. Inhibition of PI3K/Akt/mTOR pathway promoted autophagy of MDA-MB-468/Taxol cells. We may provide a new potential strategy for TNBC treatment.

Precision Oncology via NMR-Based Metabolomics: A Review on Breast Cancer

Precision oncology is an emerging approach in cancer care. It aims at selecting the optimal therapy for the right patient by considering each patient’s unique disease and individual health status. In the last years, it has become evident that breast cancer is an extremely heterogeneous disease, and therefore, patients need to be appropriately stratified to maximize survival and quality of life. Gene-expression tools have already positively assisted clinical decision making by estimating the risk of recurrence and the potential benefit from adjuvant chemotherapy. However, these approaches need refinement to further reduce the proportion of patients potentially exposed to unnecessary chemotherapy. Nuclear magnetic resonance (NMR) metabolomics has demonstrated to be an optimal approach for cancer research and has provided significant results in BC, in particular for prognostic and stratification purposes. In this review, we give an update on the status of NMR-based metabolomic studies for the biochemical characterization and stratification of breast cancer patients using different biospecimens (breast tissue, blood serum/plasma, and urine).