The Differential Metabolic Signature of Breast Cancer Cellular Response to Olaparib Treatment

Recent Contributions of Mass Spectrometry-Based "Omics" in the Studies of Breast Cancer

Breast cancer (BC) is one of the most heterogeneous groups of cancer. As every biotype of BC is unique and presents a particular "omic" signature, they are increasingly characterized nowadays with novel mass spectrometry (MS) strategies. BC therapeutic approaches are primarily based on the two features of human epidermal growth factor receptor 2 (HER2) and estrogen receptor (ER) positivity. Various strategic MS implementations are reported in studies of BC also involving data independent acquisitions (DIAs) of MS which report novel differential proteomic, lipidomic, proteogenomic, phosphoproteomic, and metabolomic characterizations associated with the disease and its therapeutics. Recently many "omic" studies have aimed to identify distinct subsidiary biotypes for diagnosis, prognosis, and targets of treatment. Along with these, drug-induced-resistance phenotypes are characterized by "omic" changes. These identifying aspects of the disease may influence treatment outcomes in the near future. Drug quantifications and characterizations are also done regularly and have implications in therapeutic monitoring and in drug efficacy assessments. We report these studies, mentioning their implications toward the understanding of BC. We briefly provide the MS instrumentation principles that are adopted in such studies as an overview with a brief outlook on DIA-MS strategies. In all of these, we have chosen a model cancer for its revelations through MS-based "omics".

Olaparib enhances sensitization of BRCA-proficient breast cancer cells to x-rays and protons

PURPOSE

This study aimed to compare the radiosensitizing effect of the PARP inhibitor, Olaparib, between proton and X-rays irradiations in BRCA-proficient breast cancer (BC) cells.

METHODS

Two BRCA-proficient BC cell lines, MDA-MB-231 and T47D BC, were used. Cell proliferation was assessed using the CCK-8 assay, and radiosensitivity was determined through the clonogenic survival assay. Flow cytometry was employed to analyze cell cycle distribution and apoptosis. The kinetics of DNA damage repair were evaluated using γH2AX immunofluorescence imaging and the comet assay. Tumor spheroid assays were conducted to test radiosensitivity in a three-dimensional culture condition.

RESULTS

Olaparib sensitized both MDA-MB-231 and T47D cells to proton and X-ray irradiation in the clonogenic assay. MDA-MB-231 cells exhibited a higher dose enhancement factor for Olaparib than T47D cells. Olaparib increased radiation-induced G2/M cell cycle arrest and apoptosis specifically in MDA-MB-231 cells. γH2AX immunostaining and the comet assay showed Olaparib augmented radiation-induced DNA damage and apoptosis. The enhancement effect of Olaparib was more pronounced in proton irradiation than in X-ray irradiation, particularly in MDA-MB-231 cells than T47D cells. Both radiation and Olaparib dose-dependently inhibited spheroid growth in both cell lines. The synergy scores demonstrated that Olaparib interacted more strongly with protons than X-rays. The addition of an ATR inhibitor further enhanced Olaparib-induced proton radiosensitization in MDA-MB-231 cells.

CONCLUSION

This study found that Olaparib enhanced radiation efficacy in BRCA-proficient breast cancer cells, with a more pronounced effect observed with proton irradiation compared to X-ray irradiation. Combining Olaparib with an ATR inhibitor increased the radiosensitizing effect of protons.

Natural compounds solasonine and alisol B23-acetate target GLI3 signaling to block oncogenesis in MED12-altered breast cancer

Breast cancer remains to be the second leading cause of cancer deaths worldwide thereby highlighting the critical need to find superior treatment strategies for this disease. In the current era of cancer treatment, personalized medicine is garnering much attention as this type of treatment is more selective thereby minimizing harmful side effects. Personalized medicine is dependent upon knowing the underlying genetic landscape of the initial tumor. In our study, we focused our efforts on a specific subset of breast cancer that harbors genetic alterations in the Mediator subunit 12 (MED12). Our results show that loss of MED12 leads to enhanced cellular proliferation and colony formation of breast cancer cells through a mechanism that involves activation of GLI3-dependent SHH signaling, a pathway that is central to breast development and homeostasis. To find a personalized treatment option for this subset of breast cancer, we employed a natural compound screening strategy which uncovered a total of ten compounds that selectively target MED12 knockdown breast cancer cells. Our results show that two of these ten compounds, solasonine and alisol B23-acetate, block GLI3-dependent SHH signaling which leads to a reversal of enhanced cellular proliferation and colony formation ability. Thus, our findings provide promising insight into a novel personalized treatment strategy for patients suffering from MED12-altered breast cancer.

An Optimised Monophasic Faecal Extraction Method for LC-MS Analysis and Its Application in Gastrointestinal Disease

Liquid chromatography coupled with mass spectrometry (LC-MS) metabolomic approaches are widely used to investigate underlying pathogenesis of gastrointestinal disease and mechanism of action of treatments. However, there is an unmet requirement to assess faecal metabolite extraction methods for large-scale metabolomics studies. Current methods often rely on biphasic extractions using harmful halogenated solvents, making automation and large-scale studies challenging. The present study reports an optimised monophasic faecal extraction protocol that is suitable for untargeted and targeted LC-MS analyses. The impact of several experimental parameters, including sample weight, extraction solvent, cellular disruption method, and sample-to-solvent ratio, were investigated. It is suggested that a 50 mg freeze-dried faecal sample should be used in a methanol extraction (1:20) using bead beating as the means of cell disruption. This is revealed by a significant increase in number of metabolites detected, improved signal intensity, and wide metabolic coverage given by each of the above extraction parameters. Finally, we addressed the applicability of the method on faecal samples from patients with Crohn's disease (CD) and coeliac disease (CoD), two distinct chronic gastrointestinal diseases involving metabolic perturbations. Untargeted and targeted metabolomic analysis demonstrated the ability of the developed method to detect and stratify metabolites extracted from patient groups and healthy controls (HC), highlighting characteristic changes in the faecal metabolome according to disease. The method developed is, therefore, suitable for the analysis of patients with gastrointestinal disease and can be used to detect and distinguish differences in the metabolomes of CD, CoD, and HC.