Integrated Analysis of Mrna and Mirna Profiles Revealed the Role Of

Total Page:16

File Type:pdf, Size:1020Kb

Integrated Analysis of Mrna and Mirna Profiles Revealed the Role Of Evangelista et al. BMC Cancer (2021) 21:76 https://doi.org/10.1186/s12885-020-07731-2 RESEARCH ARTICLE Open Access Integrated analysis of mRNA and miRNA profiles revealed the role of miR-193 and miR- 210 as potential regulatory biomarkers in different molecular subtypes of breast cancer Adriane F. Evangelista1, Renato J. Oliveira1* , Viviane A. O. Silva1,ReneA.D.C.Vieira2,RuiM.Reis1,3,4 and Marcia M. C. Marques1,5,6 Abstract Background: Breast cancer is the most frequently diagnosed malignancy among women. However, the role of microRNA (miRNA) expression in breast cancer progression is not fully understood. In this study we examined predictive interactions between differentially expressed miRNAs and mRNAs in breast cancer cell lines representative of the common molecular subtypes. Integrative bioinformatics analysis identified miR-193 and miR-210 as potential regulatory biomarkers of mRNA in breast cancer. Several recent studies have investigated these miRNAs in a broad range of tumors, but the mechanism of their involvement in cancer progression has not previously been investigated. Methods: The miRNA-mRNA interactions in breast cancer cell lines were identified by parallel expression analysis and miRNA target prediction programs. The expression profiles of mRNA and miRNAs from luminal (MCF-7, MCF-7/AZ and T47D), HER2 (BT20 and SK-BR3) and triple negative subtypes (Hs578T e MDA-MB-231) could be clearly separated by unsupervised analysis using HB4A cell line as a control. Breast cancer miRNA data from TCGA patients were grouped according to molecular subtypes and then used to validate these findings. Expression of miR-193 and miR-210 was investigated by miRNA transient silencing assays using the MCF7, BT20 and MDA-MB-231 cell lines. Functional studies included, xCELLigence system, ApoTox-Glo triplex assay, flow cytometry and transwell inserts were performed to determine cell proliferation, cytotoxicity, apoptosis, migration and invasion, respectively. Results: The most evident effects were associated with cell proliferation after miR-210 silencing in triple negative subtype cell line MDA-MB-231. Using in silico prediction algorithms, TNFRSF10 was identified as one of the potential regulated downstream targets for both miRNAs. The TNFRSF10C and TNFRSF10D mRNA expression inversely correlated with the expression levels of miR-193 and miR210 in breast cell lines and breast cancer patients, (Continued on next page) *Correspondence: [email protected] 1Molecular Oncology Research Center, Barretos Cancer Hospital, 14784-400 Barretos, São Paulo, Brazil Full list of author information is available at the end of the article © The Author(s). 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/)appliestothedatamade available in this article, unless otherwise stated in a credit line to the data. Evangelista et al. BMC Cancer (2021) 21:76 Page 2 of 13 (Continued from previous page) respectively. Other potential regulated genes whose expression also inversely correlated with both miRNAs were CCND1, a known mediator on invasion and metastasis, and the tumor suppressor gene RUNX3. Conclusions: In summary, our findings identify miR-193 and miR-210 as potential regulatory miRNA in different molecular subtypes of breast cancer and suggest that miR-210 may have a specific role in MDA-MB-231 proliferation. Our results highlight important new downstream regulated targets that may serve as promising therapeutic pathways for aggressive breast cancers Keywords: Breast cancer, miR-193, miR-210, MiRNA-mRNA interaction, Cell proliferation, Cell migration Background gene expression at the posttranscriptional level [15, 16]. Breast cancer (BC) is the most commonly occurring These regulatory transcripts are short, single-stranded malignancy in women worldwide with more than 2 mil- RNA sequences (approximately 19–23 nucleotides) that lion new cases diagnosed in 2018 [1]. BC is character- are able to modulate gene expression and mediate a vari- ized by high levels of intra and inter-tumor heterogeneity ety of physiological processes. They have direct involve- that impact several levels, including variation in histo- ment in several diseases and are known to play an impor- logical features, together with differences in response to tant role in cancer [17, 18]. In BC, several miRNAs have treatment and to patient survival outcomes [2]. An under- been reported to be involved in prognosis, metastasis standing of inter-patient differences is crucial for relating and response to therapy [19, 20]. However, details of breast cancer biology to new targeted therapeutics. Vari- the molecular mechanisms underlying the regulation of ations in the expression of established prognostic and miRNA expression in breast cancer are not fully under- predictive biomarkers togther with hormone receptor sta- stood. tus remains a challenge for clinical management and use In this study, we investigated the global expression pro- of targeted therapies [3]. files of miRNA from breast cancer cell lines and TCGA Previous studies based on global gene expression analy- datasets derived from different molecular subtypes of BC ses have provided additional insights into the complexities to identify miRNAs candidates associated with specific of BC therapeutics. Perou et al. [4, 5] initially classified molecular subtypes. In parallel, we performed an integra- breast tumors into four molecular subtypes based on their tive analysis of mRNA profiles to identify any putative gene expression profiles. The known intrinsic molecular miRNA targets for a deeper understanding the regula- subtypes of breast cancer were extensively characterized, tory impact of miRNAs on the cancer biology of BC. The and showed significant differences in their incidence, rel- expression of downstream genes affected by regulatory ative risk factors, prognosis and treatment sensitivity [6, miRNAs may influence important key molecular path- 7]. The most recent guidelines have supported a classifica- waysthatcouldserveastargetsforcancertherapy.We tion based on five molecular subtypes: luminal A, luminal selected genes involved in general transcription and reg- B, luminal B HER2 positive, HER2-enriched and triple ulation processes that could also affect apoptosis and cell negative. Additionally, RNA-based multigene expression proliferation as both pathways hold therapeutic promise assays have been developed to define other molecular in BC. Finally, we further investigated the functional roles subtypes showing some evidence of clinical utility [8, 9]. of the selected miRNAs for a better understanding of However, there are distinct limitations with classifica- their role in BC. Further studies are needed to gain more tion schemes solely based on gene expression. Moreover, insights into miR-193 and miR-210 targets and their asso- the reproducibility of these methods has been questioned ciated signaling pathways. [10, 11], drawing attention to the necessity for the identi- fication of new types of biomarkers that can more rigor- Methods ously distinguish between the various molecular subtypes Cell culture and RNA isolation of BC. Seven human BC cell lines from different molecular sub- Recent findings have drawn attention to the role types and one breast normal cell were utilized, as fol- microRNAs (miRNAs) may play as novel biomarkers and lows: luminal (MCF-7, MCF-7/AZ and T47D), HER2 their future potential as therapeutic targets in cancer (BT20 and SK-BR3), triple negative (Hs578T e MDA- [12–14]. MiRNAs are particularly promising due to their MB-231) and normal control cell (HB4A). All the cells molecular stability, their ease of detection by non-invasive were obtained from the American Type Culture Collec- methods and their ability to provide improved subtype tion (ATCC; Manassas, VA, USA) and were maintained in classification [12–14]. MiRNAs are a class of small non- Dulbecco’s modified Eagle’s medium (DMEM) supple- coding regulatory RNAs that are involved in controlling mented with 10% fetal bovine serum (FBS) and 1% peni- Evangelista et al. BMC Cancer (2021) 21:76 Page 3 of 13 cillin/streptomycin solution (Gibco, Invitrogen), at 37°C mon to at least four algorithms. We only considered the and 5% CO2 atmosphere. Cell lines authentication was top 1% of target genes, including those identified by the performed using in-house kit for Short tandem repeat Cancer Gene Index data (NCI) as candidates for being (STR) fragments profiling by the Molecular Diagnostics involved in breast cancer. To further determine how the at the Barretos Cancer Hospital as previously reported selected genes could be associated with breast cancer and [21]. Mycoplasma
Recommended publications
  • PTK2B (Human) Recombinant Protein
    PTK2B (Human) Recombinant PKB, PTK, PYK2, RAFTK Protein Gene Summary: This gene encodes a cytoplasmic protein tyrosine kinase which is involved in Catalog Number: P5800 calcium-induced regulation of ion channels and Regulation Status: For research use only (RUO) activation of the map kinase signaling pathway. The encoded protein may represent an important signaling Product Description: Human PTK2B (NP_775267.1, 1 intermediate between neuropeptide-activated receptors a.a. - 967 a.a.) full-length recombinant protein with GST or neurotransmitters that increase calcium flux and the tag expressed in Baculovirus infected Sf21 cells. downstream signals that regulate neuronal activity. The encoded protein undergoes rapid tyrosine Host: Insect phosphorylation and activation in response to increases in the intracellular calcium concentration, nicotinic Theoretical MW (kDa): 138 acetylcholine receptor activation, membrane depolarization, or protein kinase C activation. This Applications: Func, SDS-PAGE protein has been shown to bind CRK-associated (See our web site product page for detailed applications substrate, nephrocystin, GTPase regulator associated information) with FAK, and the SH2 domain of GRB2. The encoded protein is a member of the FAK subfamily of protein Protocols: See our web site at tyrosine kinases but lacks significant sequence similarity http://www.abnova.com/support/protocols.asp or product to kinases from other subfamilies. Four transcript page for detailed protocols variants encoding two different isoforms have been Form: Liquid found for this gene. [provided by RefSeq] Preparation Method: Baculovirus infected insect cell (Sf21) expression system Purification: Glutathione sepharose chromatography Purity: 74 % by SDS-PAGE/CBB staining Activity: The activity was measured by off-chip mobility shift assay.
    [Show full text]
  • Supplementary Table S1. Control Capsules (CC) and Study Capsules (CR) Composition
    Supplementary Table S1. Control Capsules (CC) and Study Capsules (CR) composition CC Capsules Composition mg Bioactive compound Sunflower oil 1.100 Gelatin 318,019 Glycerin 118,750 Clorophill E-140 1,923 CAPSULE TOTAL WEIGHT 1.538,692 CR Capsules Composition mg Bioactive compound Shark liver oil 20% 750 150 mg alkylglycerols alkylglycerols (Gustav Heess) Rosemary Antioxidant 11,25 mg Diterpene Phenols extract, 25 % Diterpene 45 Phenols, Type Nº 027.020 (Rosmarinus officinalis L.) Glyceril-monoestearate 30 Sunflower oil 263 Soy lecithin VEROLEC 56 12 Gelatin 318,019 Glycerin 118,750 Clorophill E-140 1,923 CAPSULE TOTAL WEIGHT 1.538,692 Supplementary Table S2. Table of the selected genes and pathways analyzed in the study Pathway Gen Gene name Inflammation, IL1B Interleukin 1, Beta Immunomodulation TNF (TNFA) Tumor Necrosis Factor MAPK1 Mitogen-Activated Protein Kinase 1 PTK2B Protein Tyrosine Kinase 2 Beta STAT3 Signal Transducer Activator Of Transcription 3 JAK1 Janus Kinase 1 JAK3 Janus Kinase 3 NFKB Nuclear Factor Of Kappa Light Polypeptide Gene Enhancer In B-Cells 1 NLRP3 NLR Family, Pyrin Domain Containing 3 CCL2 (MCP-1) Chemokine (C-C Motif) Ligand 2 CXCR1 Chemokine (C-X-C Motif) Receptor 1 CSF2 Colony Stimulating Factor 2 (Granulocyte-Macrophage) CCL5(RANTES) Chemokine (C-C Motif) Ligand 5 CCR5 Chemokine (C-C Motif) Receptor 5 (Gene/Pseudogene) PLCG1 Phospholipase C, Gamma 1 PRKCD Protein Kinase C, Delta ADIPOQ Adiponectin, C1Q And Collagen Domain Containing BMP2 Bone Morphogenetic Protein 2 LIF Leukemia Inhibitory Factor TGFB2
    [Show full text]
  • Supplementary Materials
    Supplementary Suppl. Figure 1: MAPK signalling pathway of A: NCI-H2502, B: NCI-H2452, C: MSTO-211H and D: MRC-5. Suppl. Figure 2: Cell cycle pathway of A: NCI-H2502, B: NCI-H2452, C: MSTO-211H and D: MRC- 5. Suppl. Figure 3: Cancer pathways of A: NCI-H2502, B: NCI-H2452, C: MSTO-211H and D: MRC-5. Suppl. Figure 4: Phosphorylation level of A: ARAF, B: EPHA1, C: EPHA2, D: EPHA7 in all cell lines. For each cell line, phosphorylation levels are depicted before (Medium) and after cisplatin treatment (Cis). Suppl. Figure 5: Phosphorylation Level of A: KIT, B: PTPN11, C: PIK3R1, D: PTPN6 in all cell lines. For each cell line, phosphorylation levels are depicted before (Medium) and after cisplatin treatment (Cis). Suppl. Figure 6: Phosphorylation Level of A: KDR, B: EFS, C: AKT1, D: PTK2B/FAK2 in all cell lines. For each cell line, phosphorylation levels are depicted before (Medium) and after cisplatin treatment (Cis). Suppl. Figure 7: Scoreplots and volcanoplots of PTK upstream kinase analysis: A: Scoreplot of PTK- Upstream kinase analysis for NCI-H2052 cells. B: Volcanoplot of PTK-Upstream kinase analysis for NCI-H2052 cells. C: Scoreplot of PTK-Upstream kinase analysis for NCI-H2452 cells. D: Volcanoplot of PTK-Upstream kinase analysis for NCI-H2452 cells. E: Scoreplot of PTK-Upstream kinase analysis for MSTO-211H cells. F: Volcanoplot of PTK-Upstream kinase analysis for MSTO- 211H cells. G: Scoreplot of PTK-Upstream kinase analysis for MRC-5cells. H: Volcanoplot of PTK- Upstream kinase analysis for MRC-5 cells. Suppl. Figure 8: Scoreplots and volcanoplots of STK upstream kinase analysis: A: Scoreplot of STK- Upstream kinase analysis for NCI-H2052 cells.
    [Show full text]
  • Blood Vitronectin Is a Major Activator of LIF and IL-6 in the Brain Through Integrin–FAK and Upar Signaling Matthew P
    © 2018. Published by The Company of Biologists Ltd | Journal of Cell Science (2018) 131, jcs202580. doi:10.1242/jcs.202580 RESEARCH ARTICLE Blood vitronectin is a major activator of LIF and IL-6 in the brain through integrin–FAK and uPAR signaling Matthew P. Keasey1, Cuihong Jia1, Lylyan F. Pimentel1,2, Richard R. Sante1, Chiharu Lovins1 and Theo Hagg1,* ABSTRACT Microglia and astrocytes express the VTN receptors αvβ3 and α β We defined how blood-derived vitronectin (VTN) rapidly and potently v 5 integrin (Herrera-Molina et al., 2012; Kang et al., 2008; activates leukemia inhibitory factor (LIF) and pro-inflammatory Milner, 2009; Welser-Alves et al., 2011). Microglia and astrocytes, interleukin 6 (IL-6) in vitro and after vascular injury in the brain. as well as endothelial cells, are major producers of pro- α in vitro Treatment with VTN (but not fibrinogen, fibronectin, laminin-111 or inflammatory cytokines, such as IL-6 and TNF , and collagen-I) substantially increased LIF and IL-6 within 4 h in after traumatic or ischemic injury to the brain (Banner et al., 1997; C6-astroglioma cells, while VTN−/− mouse plasma was less effective Erta et al., 2012; Lau and Yu, 2001) or upon self-induction by IL-6 than that from wild-type mice. LIF and IL-6 were induced by (Van Wagoner and Benveniste, 1999). IL-6 is a major regulator of a intracerebral injection of recombinant human (rh)VTN in mice, but variety of inflammatory disorders and a target for therapies (Hunter induction seen upon intracerebral hemorrhage was less in VTN−/− and Jones, 2015).
    [Show full text]
  • PRKACA Mediates Resistance to HER2-Targeted Therapy in Breast Cancer Cells and Restores Anti-Apoptotic Signaling
    Oncogene (2015) 34, 2061–2071 © 2015 Macmillan Publishers Limited All rights reserved 0950-9232/15 www.nature.com/onc ORIGINAL ARTICLE PRKACA mediates resistance to HER2-targeted therapy in breast cancer cells and restores anti-apoptotic signaling SE Moody1,2,3, AC Schinzel1, S Singh1, F Izzo1, MR Strickland1, L Luo1,2, SR Thomas3, JS Boehm3, SY Kim4, ZC Wang5,6 and WC Hahn1,2,3 Targeting HER2 with antibodies or small molecule inhibitors in HER2-positive breast cancer leads to improved survival, but resistance is a common clinical problem. To uncover novel mechanisms of resistance to anti-HER2 therapy in breast cancer, we performed a kinase open reading frame screen to identify genes that rescue HER2-amplified breast cancer cells from HER2 inhibition or suppression. In addition to multiple members of the MAPK (mitogen-activated protein kinase) and PI3K (phosphoinositide 3-kinase) signaling pathways, we discovered that expression of the survival kinases PRKACA and PIM1 rescued cells from anti-HER2 therapy. Furthermore, we observed elevated PRKACA expression in trastuzumab-resistant breast cancer samples, indicating that this pathway is activated in breast cancers that are clinically resistant to trastuzumab-containing therapy. We found that neither PRKACA nor PIM1 restored MAPK or PI3K activation after lapatinib or trastuzumab treatment, but rather inactivated the pro-apoptotic protein BAD, the BCl-2-associated death promoter, thereby permitting survival signaling through BCL- XL. Pharmacological blockade of BCL-XL/BCL-2 partially abrogated the rescue effects conferred by PRKACA and PIM1, and sensitized cells to lapatinib treatment. These observations suggest that combined targeting of HER2 and the BCL-XL/BCL-2 anti-apoptotic pathway may increase responses to anti-HER2 therapy in breast cancer and decrease the emergence of resistant disease.
    [Show full text]
  • Supplementary Table 1. in Vitro Side Effect Profiling Study for LDN/OSU-0212320. Neurotransmitter Related Steroids
    Supplementary Table 1. In vitro side effect profiling study for LDN/OSU-0212320. Percent Inhibition Receptor 10 µM Neurotransmitter Related Adenosine, Non-selective 7.29% Adrenergic, Alpha 1, Non-selective 24.98% Adrenergic, Alpha 2, Non-selective 27.18% Adrenergic, Beta, Non-selective -20.94% Dopamine Transporter 8.69% Dopamine, D1 (h) 8.48% Dopamine, D2s (h) 4.06% GABA A, Agonist Site -16.15% GABA A, BDZ, alpha 1 site 12.73% GABA-B 13.60% Glutamate, AMPA Site (Ionotropic) 12.06% Glutamate, Kainate Site (Ionotropic) -1.03% Glutamate, NMDA Agonist Site (Ionotropic) 0.12% Glutamate, NMDA, Glycine (Stry-insens Site) 9.84% (Ionotropic) Glycine, Strychnine-sensitive 0.99% Histamine, H1 -5.54% Histamine, H2 16.54% Histamine, H3 4.80% Melatonin, Non-selective -5.54% Muscarinic, M1 (hr) -1.88% Muscarinic, M2 (h) 0.82% Muscarinic, Non-selective, Central 29.04% Muscarinic, Non-selective, Peripheral 0.29% Nicotinic, Neuronal (-BnTx insensitive) 7.85% Norepinephrine Transporter 2.87% Opioid, Non-selective -0.09% Opioid, Orphanin, ORL1 (h) 11.55% Serotonin Transporter -3.02% Serotonin, Non-selective 26.33% Sigma, Non-Selective 10.19% Steroids Estrogen 11.16% 1 Percent Inhibition Receptor 10 µM Testosterone (cytosolic) (h) 12.50% Ion Channels Calcium Channel, Type L (Dihydropyridine Site) 43.18% Calcium Channel, Type N 4.15% Potassium Channel, ATP-Sensitive -4.05% Potassium Channel, Ca2+ Act., VI 17.80% Potassium Channel, I(Kr) (hERG) (h) -6.44% Sodium, Site 2 -0.39% Second Messengers Nitric Oxide, NOS (Neuronal-Binding) -17.09% Prostaglandins Leukotriene,
    [Show full text]
  • Gene Expression Profiling of Chronic Myeloid Leukemia with Variant T(9;22)
    Albano et al. Molecular Cancer 2013, 12:36 http://www.molecular-cancer.com/content/12/1/36 SHORT COMMUNICATION Open Access Gene expression profiling of chronic myeloid leukemia with variant t(9;22) reveals a different signature from cases with classic translocation Francesco Albano*, Antonella Zagaria, Luisa Anelli, Nicoletta Coccaro, Luciana Impera, Crescenzio Francesco Minervini, Angela Minervini, Antonella Russo Rossi, Giuseppina Tota, Paola Casieri and Giorgina Specchia Abstract Background: The t(9;22)(q34;q11) generating the BCR/ABL1 fusion gene represents the cytogenetic hallmark of chronic myeloid leukemia (CML). About 5–10% of CML cases show variant translocations with the involvement of other chromosomes in addition to chromosomes 9 and 22. The molecular bases of biological differences between CML patients with classic and variant t(9;22) have never been clarified. Findings: In this study, we performed gene expression microarray analysis to compare CML patients bearing variant rearrangements and those with classic t(9;22)(q34;q11). We identified 59 differentially expressed genes significantly associated with the two analyzed groups. The role of specific candidate genes such as TRIB1 (tribbles homolog 1), PTK2B (protein tyrosine kinase 2 beta), and C5AR1 (complement component 5a receptor 1) is discussed. Conclusions: Our results reveal that in CML cases with variant t(9;22) there is an enhancement of the MAPK pathway deregulation and show that kinases are a common target of molecular alterations in hematological disorders. Keywords: Chronic myeloid leukemia, Variant t(9;22) rearrangements, Gene expression profiling, Protein kinases, Cellular pathways Background BCR has been reported in CML cases with variant trans- Chronic myeloid leukemia (CML) is a myeloprolife- locations with a greater frequency (30-40%) than in rative disorder derived from hematopoietic stem cell cases with classic t(9;22) (10-18%) [6,7].
    [Show full text]
  • Personalized Prediction of Acquired Resistance to EGFR-Targeted Inhibitors Using a Pathway-Based Machine Learning Approach
    Cancers 2019, 11, x S1 of S9 Supplementary Materials: Personalized Prediction of Acquired Resistance to EGFR-Targeted Inhibitors Using a Pathway-Based Machine Learning Approach Young Rae Kim, Yong Wan Kim, Suh Eun Lee, Hye Won Yang and Sung Young Kim Table S1. Characteristics of individual studies. Sample Size Origin of Cancer Drug Dataset Platform S AR (Cell Lines) Lung cancer Agilent-014850 Whole Human GSE34228 26 26 (PC9) Genome Microarray 4x44K Gefitinib Epidermoid carcinoma Affymetrix Human Genome U133 GSE10696 3 3 (A431) Plus 2.0 Head and neck cancer Illumina HumanHT-12 V4.0 GSE62061 12 12 (Cal-27, SSC-25, FaDu, expression beadchip SQ20B) Erlotinib Head and neck cancer Illumina HumanHT-12 V4.0 GSE49135 3 3 (HN5) expression beadchip Lung cancer (HCC827, Illumina HumanHT-12 V3.0 GSE38310 3 6 ER3, T15-2) expression beadchip Lung cancer Illumina HumanHT-12 V3.0 GSE62504 1 2 (HCC827) expression beadchip Afatinib Lung cancer * Illumina HumanHT-12 V4.0 GSE75468 1 3 (HCC827) expression beadchip Head and neck cancer Affymetrix Human Genome U133 Cetuximab GSE21483 3 3 (SCC1) Plus 2.0 Array GEO, gene expression omnibus; GSE, gene expression series; S, sensitive; AR, acquired EGFR-TKI resistant; * Lung Cancer Cells Derived from Tumor Xenograft Model. Table S2. The performances of four penalized regression models. Model ACC precision recall F1 MCC AUROC BRIER Ridge 0.889 0.852 0.958 0.902 0.782 0.964 0.129 Lasso 0.944 0.957 0.938 0.947 0.889 0.991 0.042 Elastic Net 0.978 0.979 0.979 0.979 0.955 0.999 0.023 EPSGO Elastic Net 0.989 1.000 0.979 0.989 0.978 1.000 0.018 AUROC, area under curve of receiver operating characteristic; ACC, accuracy; MCC, Matthews correlation coefficient; EPSGO, Efficient Parameter Selection via Global Optimization algorithm.
    [Show full text]
  • UNIVERSITY of CALIFORNIA Los Angeles Non-Mutated Kinases in Metastatic Prostate Cancer
    UNIVERSITY OF CALIFORNIA Los Angeles Non-mutated kinases in metastatic prostate cancer: drivers and therapeutic targets A dissertation submitted in partial satisfaction of the requirements for the degree Doctor of Philosophy in Molecular Biology by Claire Faltermeier 2016 © Copyright by Claire Faltermeier 2016 ABSTRACT OF THE DISSERTATION Non-mutated kinases in prostate cancer: drivers and therapeutic targets by Claire Faltermeier Doctor of Philosophy in Molecular Biology University of California, Los Angeles, 2016 Professor Hanna K. A. Mikkola, Chair Metastatic prostate cancer lacks effective treatments and is a major cause of death in the United States. Targeting mutationally activated protein kinases has improved patient survival in numerous cancers. However, genetic alterations resulting in constitutive kinase activity are rare in metastatic prostate cancer. Evidence suggests that non-mutated, wild-type kinases are involved in advanced prostate cancer, but it remains unknown whether kinases contribute mechanistically to metastasis and should be pursued as therapeutic targets. Using a mass- spectrometry based phosphoproteomics approach, we identified tyrosine, serine, and threonine kinases that are differentially activated in human metastatic prostate cancer tissue specimens compared to localized disease. To investigate the functional role of these kinases in prostate cancer metastasis, we screened over 100 kinases identified from our phosphoproteomic and previously-published transcriptomic studies for their ability to drive metastasis. In a primary ii screen using a lung colonization assay, we identified 20 kinases that when overexpressed in murine prostate cancer cells could promote metastasis to the lungs with different latencies. We queried these 20 kinases in a secondary in vivo screen using non-malignant human prostate cells.
    [Show full text]
  • Screening of Pleural Mesothelioma Cell Lines for Kinase Activity May Identify New Mechanisms of Therapy Resistance in Patients Receiving Platin-Based Chemotherapy
    Hindawi Journal of Oncology Volume 2019, Article ID 2902985, 11 pages https://doi.org/10.1155/2019/2902985 Research Article Screening of Pleural Mesothelioma Cell Lines for Kinase Activity May Identify New Mechanisms of Therapy Resistance in Patients Receiving Platin-Based Chemotherapy Sabrina Borchert ,1,2 Pia-Maria Suckrau,1 Michael Wessolly ,1,2 Elena Mairinger,1,2 Balazs Hegedus,3 Thomas Hager,1,2 Thomas Herold,1,2 Wildfried E. E. Eberhardt,4,5 Jeremias Wohlschlaeger,1,6 Clemens Aigner,3 Agnes Bankfalvi,1,2 Kurt Werner Schmid,1,2 Robert F. H. Walter,1,5 and Fabian D. Mairinger 1,2 1Institute of Pathology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany 2German Cancer Consortium (DKTK), Partner Site University Hospital Essen, Hufelandstrasse 55, 45122 Essen, Germany 3Department of +oracic Surgery and +oracical Endoscopy, Ruhrlandklinik, West German Lung Centre, University Hospital Essen, University of Duisburg-Essen, Essen, Germany 4Department of Medical Oncology, West German Cancer Center, University Hospital Essen, University of Duisburg-Essen, Essen, Germany 5Ruhrlandklinik, West German Lung Centre, University Hospital Essen, University of Duisburg-Essen, Essen, Germany 6Department of Pathology, Diakonissenkrankenhaus Flensburg, Flensburg, Germany Correspondence should be addressed to Sabrina Borchert; [email protected] Received 4 September 2019; Accepted 3 December 2019; Published 23 December 2019 Guest Editor: Ewa Sierko Copyright © 2019 Sabrina Borchert et al. *is is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Background. Malignant pleural mesothelioma (MPM) is a rare, predominantly asbestos-related and biologically highly aggressive tumor associated with a dismal prognosis.
    [Show full text]
  • PTK2B (Human) Cell-Based ELISA Kit
    PTK2B (Human) Cell-Based ELISA Kit Catalog # : KA3238 規格 : [ 1 Kit ] List All Specification Application Image Product PTK2B (Human) Cell-Based ELISA Kit is an indirect enzyme-linked Qualitative Description: immunoassay for qualitative determination of PTK2B expression in cultured cells. Reactivity: Human, Mouse, Rat Storage Store the kit at 4°C. Instruction: Protocol: Protocol Download Suitable Attached Cell, Loosely Attached Cell, Suspension Cell Sample: Label: HRP-conjugated Detection Colorimetric Method: Regulation For research use only (RUO) Status: Applications Qualitative Gene Information Entrez GeneID: 2185 Gene Name: PTK2B Gene Alias: CADTK,CAKB,FADK2,FAK2,FRNK,PKB,PTK,PYK2,RAFTK Gene PTK2B protein tyrosine kinase 2 beta Description: Omim ID: 601212 Gene Ontology: Hyperlink Gene Summary: This gene encodes a cytoplasmic protein tyrosine kinase which is involved in calcium-induced regulation of ion channels and activation of the map kinase signaling pathway. The encoded protein may represent an important signaling intermediate between neuropeptide-activated receptors or neurotransmitters that increase calcium flux and the downstream signals that regulate neuronal activity. The encoded protein undergoes rapid tyrosine phosphorylation and activation in response to increases in the intracellular calcium concentration, nicotinic acetylcholine receptor activation, membrane depolarization, or protein kinase C activation. This protein has been shown to bind CRK- associated substrate, nephrocystin, GTPase regulator associated with Page 1 of 2 2017/2/16 FAK, and the SH2 domain of GRB2. The encoded protein is a member of the FAK subfamily of protein tyrosine kinases but lacks significant sequence similarity to kinases from other subfamilies. Four transcript variants encoding two different isoforms have been found for this gene.
    [Show full text]
  • Supplementary Table 2: Infection-Sensitive Genes
    Supplementary Table 2: Infection-Sensitive Genes Supplementary Table 2: Upregulated with Adenoviral Infection (pages 1 - 7)- genes that were significant by ANOVA as well as significantly increased in control compared to both 'infected control' (Ad-LacZ) and 'calcineurin infected' (Ad-aCaN). Downregulated with Adenoviral Infection (pages 7 - 13) as above except for direction of change. Columns: Probe Set- Affymetrix probe set identifier for RG-U34A microarray, Symbol and Title- annotated information for above probe set (annotation downloaded June, 2004), ANOVA- p-value for 1-way Analysis of Variance, Uninfected, Ad-LacZ and Ad- aCaN- mean ± SEM expression for uninfected control, adenovirus mediated LacZ treated control, and adenovirus mediated calcineurin treated cultures respectively. Upregulated with Adenoviral Infection Probe Set Symbol Title ANOVA Uninfected Ad-LacZ Ad-aCaN Z48444cds_at Adam10 a disintegrin and metalloprotease domain 10 0.00001 837 ± 31 1107 ± 24 1028 ± 29 L26986_at Adcy8 adenylyl cyclase 8 0.00028 146 ± 12 252 ± 21 272 ± 21 U94340_at Adprt ADP-ribosyltransferase 1 0.00695 2096 ± 100 2783 ± 177 2586 ± 118 U01914_at Akap8 A kinase anchor protein 8 0.00080 993 ± 44 1194 ± 65 1316 ± 44 AB008538_at Alcam activated leukocyte cell adhesion molecule 0.01012 2775 ± 136 3580 ± 216 3429 ± 155 M34176_s_at Ap2b1 adaptor-related protein complex 2, beta 1 subunit 0.01389 2408 ± 199 2947 ± 143 3071 ± 116 D44495_s_at Apex1 apurinic/apyrimidinic endonuclease 1 0.00089 4959 ± 185 5816 ± 202 6057 ± 158 U16245_at Aqp5 aquaporin 5 0.02710
    [Show full text]