Targeted metabolomics profiling data (i.e., peak intensity measurements) after acute exposure of BT-549 cells to DMSO or rapamycin, AZD8055 or Torin2 at two doses (100nM, 1000nM) for 6 hours.
Project description:We previously identified the induction of growth arrest with phenotypic characteristics of senescence in melanoma cell lines sensitive to diterpene esters, indicating a therapeutic potential. Here we compared the cytostatic effects of two diterpene esters namely TPA (12-O-tetradecanoylphorbol-13-acetate) and PEP008 (20-O-acetyl-ingenol-3-angelate) in sensitive and resistant cell lines derived from melanoma, breast cancer and colon cancer. We showed the diterpene esters to induce senescence-like growth arrest in the sensitive cells at 100-1000 ng/ml. Use of the pan-PKC inhibitor bisindolylmaleimide-l demonstrated that activation of PKC was required for growth arrest. Full genome expression profiling revealed that pivotal genes involved in DNA synthesis and cell cycle control were down-regulated by treatment in all three sensitive solid tumor models. At the protein level, prolonged down-regulation of E2F-1 and proliferating cell nuclear antigen (PCNA), sustained expression of p21WAF1/CIP1 and dephosphorylation of retinoblastoma (Rb) occurred in the sensitive cells. Although activation of extracellular signal-related kinase (ERK) 1/2 by the diterpene esters occurred in both sensitive and resistant cell lines, the HRASLS3 type II tumor suppressor, which appears to have a role in MAPK pathway suppression, was constitutively elevated in the resistant cell lines compared to their sensitive counterparts. Together, these results demonstrate the ability of the PKC activating drugs TPA and PEP008 to induce growth arrest with characteristics of senescence in solid tumor cell lines derived from a variety of tissue types through a similar mechanism. PKC-activating diterpene esters may therefore have therapeutic potential in a range of solid tumors. Experiment Overall Design: We analyzed the transcriptional profiles of the diterpene ester sensitive cell lines MCF7, COLO-205 and SK-MEL-5 following treatment with PEP008 using full genome expression profiling (Affymetrix, U133 Plus 2.0). Cells were treated for 24 h and 24 h plus 72 h recovery with 1000 ng/ml of the drug, before harvesting RNA for analysis. From the cell growth assays, all three cell lines demonstrated permanent growth arrest with diterpene ester treatments at the 1000 ng/ml dose. Mock controls were treated with solvent alone for 24 h. SK-MEL-5 cells were also treated with 1000 ng/ml TPA for 24 h.
Project description:During cancer progression, carcinoma cells encounter a variety of cytotoxic stresses such as hypoxia, nutrient deprivation, and low pH as a result of inadequate vascularization. To maintain survival and growth in the face of these physiologic stressors, a set of adaptive response pathways are induced. One adaptive pathway well studied in other contexts is the unfolded protein response (UPR), of which XBP1 is an important component. We used microarrays to detect transcriptome profile changes after XBP1 knockdown in breast cancer cell lines, and identify genes and pathways regulated by XBP1, which could help elucidate how XBP1 mediates the adaptive response of breast cancer to cytotoxic stresses. We extracted RNA and hybridized it to Affymetrix microarrays in two breast cancer cell lines (T47D and MDA-MB-231) under treated (hypoxia and glucose deprivation) or untreated conditions with XBP1 knockdown or not.
Project description:Background. Although gene expression arrays have been used to generate molecular predictors of relapse and drug sensitivity in breast cancer, no large study describes genes and exons differentially expressed between breast cancer and benign lesions.<br><br> Methods. One hundred and sixty-five tumour samples were obtained by fine needle aspiration (FNA). cDNA were hybridized on Splice ArrayTM. A nearest centroid prediction rule was developed to classify lesions as malignant or benign on a training set, and its performance evaluated on an independent validation set. A two-way ANOVA model was used to identify probesets that present a differential expression between cancer and benign lesions while adjusting for scan dates. P-values were adjusted for False Discovery Rate.<br><br>Findings. Overall 120 breast cancers and 45 benign lesions were included in the study. A 1228-probeset molecular classifier for breast cancer diagnosis was generated from the training set (n=94). This signature accurately classified all samples (100% accuracy, 95% exact CI: 96-100%). In the validation set (n=71), the molecular predictor accurately classified 68 out of 71 tumours (96%, 95% CI: 88-99%). When the 165 samples were taken into account, 37 858 exon-probesets (5.4%) and 3733 genes (20%) were found to be differentially expressed between malignant and benign conditions (adjusted p-value<0.05). Pathway analyses showed that genes involved in spliceosome assembly were significantly enriched in malignant condition (permutation p=0.002). In the same population of 165 samples, 956 exon-probesets presented both a higher intensity and higher splice index in breast cancer, although located on unchanged genes.<br><br> Interpretation. The present study provides a thorough description of differentially expressed exons between breast cancer and benign lesions, and emphasizes the contribution of spliceosome and alternative transcripts to the molecular portrait of breast malignancy. This allowed the development of a molecular classifier for breast cancer diagnosis using FNA.
Project description:The proteins in an MCF-7 cell line were probed for tamoxifen (TAM) and n-desmethyl tamoxifen (NDT) induced stability changes using the Stability of Proteins from Rates of Oxidation (SPROX) technique in combination with two different quantitative proteomics strategies. Together the SILAC- and iTRAQ-SPROX experiments described here enabled over 1000 proteins to be assayed for TAM- and NDT- induced protein stability changes, and a total of 163 and 200 protein hits were identified in the TAM and NDT studies, respectively. A subset of high confidence hits were assessed for experimental links to the ER using a STRING analysis. TAM was shown to induce stabilization of Y-box binding protein 1 (YBX1), a protein recently shown to bind the estrogen receptor. TAM was shown to directly interact with purified recombinant YBX1 with Pulse Proteolysis (PP). These results support YBX1 as a direct protein target of TAM. Proteins with altered expression levels with TAM and NDT treatment were identified with SILAC quantitation. In total, 799 and 671 proteins were probed for TAM- and NDT- induced expression changes, respectively, and 49 and 30 proteins had altered expression. This work also involved the use of a novel data analysis strategy to identify protein targets of ligands using the SPROX technique.
Project description:Comparison of concordance in single and multi-gene genomic indices from data generated by two different laboratories (MD Anderson Cancer Center (MDA) and Jules Bordet Institute (JBI)) and on two different Affymetrix platforms (U113A and U133_Plus2). We used a 2x2 factorial study in which 16 clinical breast cancer samples were profiled by both laboratories on both platforms (64 arrays total). Total RNA was extracted, cRNA was labeled and fragmented at MDA. Fragmented cRNA was profiled on both platforms at MDA. Fragmented cRNA was shipped to JBI where it was also profiled on both platforms.
Project description:Systemic chemotherapy inflicts cytotoxic injuries on breast carcinoma-associated fibroblasts. We profiled the transcriptomes of human breast carcinoma-associated fibroblasts before and after clinically relevant cytotoxic stimuli induced by chemotheraputic agents. Breast cancer associated fibroblasts (BCAFs) were isolated from the tumor specimen by mechanical dissociation and differential centrifugation. The cells at early passages were treated with paclitaxol or doxorubicin at clinically revealent concentration. Total RNA was extracted from the cells at different time points post-treatment for gene expression profiling.
Project description:Estrogen Receptor subtypes (ERα and ERβ) are transcription factors sharing similar structure, however, they often perform opposite roles in breast cancer’s cell proliferation and tumor progression. Besides the well-characterized genomic actions of ERs upon ligand binding, rapid non-genomic cytoplasmic changes together with the recently discovered ligand-free action of ERs are emerging as key regulators of tumorigenesis. The identification of cytoplasmic interaction partners of unliganded ERα and ERβ may help characterize the molecular basis of the extra-nuclear mechanism of action of these receptors, revealing novel mechanisms to explain their role in breast cancer response or resistance to endocrine therapy. To this aim, in this study, cytoplasmic extracts from stably expressing TAP-ERα and -ERβ MCF-7 cell clones were subjected to interaction proteomics in the absence of estrogen stimulation, leading to the identification of 84 and 142 proteins associated with unliganded ERα and ERβ, respectively. Functional analyses of ER subtype-specific interactomes revealed significant differences in the molecular pathways associated to each receptor in the cytoplasm. This work reports the first identification of the unliganded ERα and ERβ cytoplasmic interactomes in breast cancer cells, providing novel experimental evidence on the non-genomic effects of ERs in the absence of hormonal stimulus.
Project description:Many cancers rely on glycolytic metabolism to fuel rapid proliferation. This has spurred interest in designing drugs that target tumor glycolysis such as AZD3965, a small molecule inhibitor of Monocarboxylate Transporter 1 (MCT1) currently undergoing Phase I evaluation for cancer treatment. Since MCT1 mediates proton-linked transport of monocarboxylates such as lactate and pyruvate across the plasma membrane (Halestrap and Meredith, 2004), AZD3965 is thought to block tumor growth through disruption of lactate transport and glycolysis. Here we show that MCT1 inhibition impairs proliferation of glycolytic breast cancer cells that express MCT4 via disruption of pyruvate rather than lactate export. We found that MCT1 expression is elevated in glycolytic breast tumors and cell lines as well as in malignant breast and lung tissues. High MCT1 expression predicts poor prognosis in breast and lung cancer patients. Stable knockdown and AZD3965-mediated inhibition of MCT1 promote oxidative metabolism. Acute inhibition of MCT1 reduces pyruvate export rate but does not consistently alter lactate transport or glycolytic flux in breast cancer cells that also express MCT4. Despite the lack of glycolysis impairment, MCT1 loss-of-function decreases breast cancer cell proliferation and blocks growth of mammary fat pad xenograft tumors. Our data suggest that MCT1 expression is elevated in glycolytic cancers to promote pyruvate export, which when inhibited enhances oxidative metabolism and reduces proliferation. This study presents an alternative molecular consequence of MCT1 inhibitors that further supports their use as anti-cancer therapeutics. Since MCT1 levels are elevated in glycolytic and malignant breast tumors, we hypothesized that MCT1 may contribute to the Warburg effect metabolic phenotype. To test this hypothesis, we generated whole genome microarray data from breast cancer cell lines either a) expressing a short hairpin (sh)RNA-mediated stable knockdown of MCT1; or b) treated for 24 hours with an MCT1 inhibitor (AZD3965). Scramble shRNA or DMSO were used as controls, and all conditions were analzed in triplicate. The cell lines used â HS578T, SUM149PT, and SUM159PT â are among the most glycolytic in a panel of 31 breast cancer cell lines.
Project description:Epigenetic therapy is emerging as a potential therapy for solid tumors. To investigate its mechanism of action, we performed integrative expression and methylation analysis of 63 cancer cell lines (breast, colorectal, and ovarian) after treatment with the DNA methyltransferase inhibitor 5-azacitidine (AZA). Gene Set Enrichment Analysis demonstrated significant enrichment for immunomodulatory pathways in all three cancers (14.4-31.3%) including interferon signaling, antigen processing and presentation, and cytokines/chemokines. Strong upregulation of cancer testis antigens was also observed. An AZA IMmune gene set (AIMs) derived from the union of these immunomodulatory pathway genes classified primary tumors from all three types, into “high” and “low” AIM gene expression subsets in tumor expression data from both TCGA and GEO (GSE42284, GSE10893, and GSE26712 for the colon, breast, and ovarian samples, respectively). Samples from selected patient biopsies showed upregulation of AIM genes after treatment with epigenetic therapy. These results point to a broad immune stimulatory role for DNA demethylating drugs in multiple cancers. A total of 338 samples were analyzed.
Project description:We applied our previously established Alkyne-A-DSBSO-based in vivo XL-MS analytical platform on two types of breast cancer PDX samples cross-linking. Coupled with the LC-MSn strategy, the experiments enable us to obtain information on cancer-related protein-protein interactions since experimenting on PDX models.