Citations

Mayo Clinic

Clear

260 citation(s) found for "Csóka, Monika".

RTOG 0525: Molecular correlates from a randomized phase III trial of newly diagnosed glioblastoma.
Aldape, Ken, Wang, M., Colman, Howard , Jones, G. T., Chakravarti, Arnab , Long, Lihong, Diefes, Kristin, Heathcock, Lindsey, Jenkins, Rosalind E. , Gilbert, M. R., Group, Radiation Therapy Oncology, Sulman, Erik P. , Hegi, Monika E. , Colman, Howard , Mehta, Minesh P. , Andrews, David William , Jenkins, R., Schultz, Carl Johann , Group, Radiation Therapy Oncology

Journal of Clinical Oncology | February 23, 2017 | Volume: 29 | Issue: 18_suppl | Pages: LBA2000-LBA2000

10.1200/jco.2011.29.18_suppl.lba2000 Get It

LBA2000 Background: Formalin-fixed, paraffin embedded GBM tumor tissue, adequate for conventional MGMT methylation analyses, was required for entry onto the RTOG 0525 clinical trial. Methods: Four prognostic biomarkers were evaluated on a training set of 220 retrospectively obtained GBM samples, consisting of IDH1 mutation, the glioma-CpG island methylator phenotype (G-CIMP), a microarray-based mRNA panel and a novel MGMT promoter methylation assay. For each biomarker, 2 (IDH1 and mRNA) or 3 subgroups (G-CIMP and MGMT) were defined based on associations with overall survival. All combinations (36 possible) of each of the 4 biomarker-derived subgroups were then defined and compared with survival data and then consolidated into 4 risk groups. Once created in the training set, this model was applied to the RTOG 0525 samples (n=763) for external validation. Results: Application of the molecular risk classification to RTOG 0525 samples (left table) showed a highly significant survival association (p<0.001). When compared to the recursive partitioning analysis (RPA, table on right), this composite molecular classifier better identified patients with long term survival and appears to improve resolution by revealing an additional distinct risk group. The molecular classifier was prognostic in each of the treatment arms individually. Conclusions: Four distinct biomarkers or biomarker panels were tested in GBM. These biomarkers were compared with clinical outcome in a training set to optimize a method to combine them into a classifier. This classifier was then validated on a large sample set from a large phase III clinical trial. This composite panel may represent an improvement over the existing RPA with respect to risk stratification of patients for GBM. Additionally, it has the potential to impact future clinical trial designs and provide enhanced opportunities for personalization of therapy for GBM. Support: NCI U10 CA2121661, U10 CA37422, P50 CA127001. [Table: see text]
Trastuzumab Emtansine With or Without Pertuzumab Versus Trastuzumab Plus Taxane for Human Epidermal Growth Factor Receptor 2–Positive, Advanced Breast Cancer: Primary Results From the Phase III MARIANNE Study
Perez, Edith A. , Barrios, Carlos H. , Eiermann, W., Im, Young‐Hyuck , Conte, PierFranco , Pieńkowski, Tadeusz , Burris, Howard A. , Petersen, Jennifer, Stanzel, S, Strasak, Alexander, Patre, Monika, Ellis, Paul, Barrios, Carlos, Eiermann, Wolfgang, Toi, Masakazu , Pivot, Xavier, Burris, Howard, Petersen, Jennifer A, Stanzel, Sven, Martín, Miguel , Pivot, Xavier B. , Ellis, Paul, Conte, Pierfranco

Journal of Clinical Oncology | February 23, 2017 | Volume: 35 | Issue: 2 | Pages: 141-148

10.1200/jco.2016.67.4887 | PMID 28056202 Get It

Purpose Trastuzumab and pertuzumab are human epidermal growth factor receptor 2 (HER2) –targeted monoclonal antibodies, and trastuzumab emtansine (T-DM1) is an antibody–drug conjugate that combines the properties of trastuzumab with the cytotoxic activity of DM1. T-DM1 demonstrated encouraging efficacy and safety in a phase II study of patients with previously untreated HER2-positive metastatic breast cancer. Combination T-DM1 and pertuzumab showed synergistic activity in cell culture models and had an acceptable safety profile in a phase Ib and II study. Methods In the MARIANNE study, 1,095 patients with centrally assessed, HER2-positive, advanced breast cancer and no prior therapy for advanced disease were randomly assigned 1:1:1 to control (trastuzumab plus taxane), T-DM1 plus placebo, hereafter T-DM1, or T-DM1 plus pertuzumab at standard doses. Primary end point was progression-free survival (PFS), as assessed by independent review. Results T-DM1 and T-DM1 plus pertuzumab showed noninferior PFS compared with trastuzumab plus taxane (median PFS: 13.7 months with trastuzumab plus taxane, 14.1 months with T-DM1, and 15.2 months with T-DM1 plus pertuzumab). Neither experimental arm showed PFS superiority to trastuzumab plus taxane. Response rate was 67.9% in patients who were treated with trastuzumab plus taxane, 59.7% with T-DM1, and 64.2% with T-DM1 plus pertuzumab; median response duration was 12.5 months, 20.7 months, and 21.2 months, respectively. The incidence of grade ≥ 3 adverse events was numerically higher in the control arm (54.1%) versus the T-DM1 arm (45.4%) and T-DM1 plus pertuzumab arm (46.2%). Numerically fewer patients discontinued treatment because of adverse events in the T-DM1 arms, and health-related quality of life was maintained for longer in the T-DM1 arms. Conclusion T-DM1 showed noninferior, but not superior, efficacy and better tolerability than did taxane plus trastuzumab for first-line treatment of HER2-positive, advanced breast cancer.
Risk of osteoporosis/osteopenia among women with breast cancer receiving anti-cancer therapy (ACT)
Boyce, Simone Peart, Mincey, Betty A., Duh, M.S., Marynchenko, Maryna, Raut, Monika , Brandman, J., Perez, Edith A.

Journal of Clinical Oncology | February 23, 2017 | Volume: 23 | Issue: 16_suppl | Pages: 665-665

10.1200/jco.2005.23.16_suppl.665 Get It

Clinicogenetic risk models predict early progression of follicular lymphoma after first-line immunochemotherapy
Jurinović, Vindi , Kridel, Robert , Szczepanowski, Monika , Horn, Heike , Dreyling, Martin , Rosenwald, Andreas , Ott, German , Klapper, Wolfram , Friedberg, Jonathan W. , Ansell, Stephen M. , Gascoyne, Randy D. , Unterhalt, Michael, Weinstock, David M. , Weigert, Oliver , Kridel, Robert , Staiger, Annette M. , Klapper, Wolfram , Zelenetz, Andrew D. , Barr, Paul M. , Sehn, Laurie H. , Connors, Joseph M.

Blood | July 14, 2016 | Volume: 128 | Issue: 8 | Pages: 1112-1120

10.1182/blood-2016-05-717355 | PMID 27418643 Get It

Key Points The posttreatment end point progression of FL within 24 months (POD24) is strongly associated with OS. A pretreatment clinicogenetic risk model (m7-FLIPI) predicts POD24 and OS and identifies the smallest subgroup with highest unmet need.
Abstract 5093: Pre-clinical assessment of a novel anti-invasion nanoparticle therapeutic in combination with bevacizumab for the treatment of glioblastoma
Murray, David W. , MacCarthy, Brian , Symons, Marc , Murray, David W., O’Halloran, Philip J. , Jarzabek, Monika A. , Sarkaria, Jann N. , Schiffelers, Raymond Michel , Byrne, Annette T.

Cancer Research | August 5, 2015 | Volume: 75 | Issue: 15_Supplement | Pages: 5093-5093

10.1158/1538-7445.am2015-5093 Get It

Abstract Glioblastoma (GBM), a highly invasive primary brain tumour, remains an incurable disease (1). Angiogenesis, the formation of new blood vessels, is a defining feature of GBM (2). Targeting GBM angiogenesis with Bevacizumab (Bev) is associated with improved progression free survival, but may also significantly enhance local tumour invasion (3). RhoGTPases and their activators, guanine nucleotide exchange factors (GEFs), play central roles in the invasive process (4). Herein, we sought to identify and target GEFs of importance in meditating GBM invasion with a view to improving Bev response. We report a novel strategy by which GBM tumours invade and proliferate via overexpression of the GEF beta-PIX which was shown to be increased at the invasive edge in 74% of GBM tumours assessed (n = 19) compared with tumour core (5). We have further shown that siRNA-mediated knockdown of beta-PIX in GBM patient-derived xenograft cell cultures and cell lines resulted in decreased cell invasion in 3D, cell proliferation and survival assays in vitro. Furthermore, we have uncovered a role for beta-PIX expression in endothelial cell function, as knockdown of beta-PIX inhibits HUVEC cell migration in vitro. To interrogate in vivo effects, we established an imagable orthotopic model of invasive GBM in mice, by stereotactically implanting GBM cells stably overexpressing firefly luciferase (U87R-GFP-luc2). beta-PIX-(human and mouse) specific siRNA or scrambled control siRNA (2 × 10 μg i.c.) were delivered to tumours using an alphaVbeta3 integrin targeting-(RGD peptide conjugated)-nanoparticle (InVivoPlex Aparna Bio Corp, Rockville, MD). Animals were treated with- or without- Bev (6 × 10mg/kg i.p. over 12 days). Initial data has shown that animals treated with beta-PIX siRNA nanoparticles in combination with Bev had an improved median survival of 100 days compared with Bev- alone treated mice (median: 88 days). Our data may support the future clinical use of a beta-PIX-targeting nanoparticle therapeutic, to improve Bev outcomes in GBM. 1. Kohler BA et al J Natl Cancer Inst. 2011; 103, 714-736 2. Jain RK et al Nat Rev Neurosci. 2007; 8(8):610-22 3. Norden AD et al Neurology 2008; 70: 779-787 4. Murray D et al Brit J Can 2014; 110(5):1307-15 5. Hoelzinger DB et al Neoplasia 2005; 7(1): 7-16 Citation Format: David W. Murray, Philip O'Halloran, Monika Jarzabek, Brian MacCarthy, Jann N. Sarkaria, Raymond M. Schiffelers, Marc Symons, Annette T. Byrne. Pre-clinical assessment of a novel anti-invasion nanoparticle therapeutic in combination with bevacizumab for the treatment of glioblastoma. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 5093. doi:10.1158/1538-7445.AM2015-5093
Quantification of decellularized human myocardial matrix: A comparison of six patients
Johnson, Todd D. , Hill, Ryan C. , Nigam, Vishal , Behfar, Atta , Christman, Karen L. , Dzieciątkowska, Monika , Hansen, Kirk Charles , Behfar, Atta

PROTEOMICS – Clinical Applications | July 14, 2015 | Volume: 10 | Issue: 1 | Pages: 75-83

10.1002/prca.201500048 | PMID 26172914 Get It

PurposeThe purpose of this study was to characterize and quantitatively analyze human cardiac extracellular matrix (ECM) isolated from six different cadaveric donor hearts.Experimental designECM was isolated by decellularization of six human cadaveric donor hearts and characterized by quantifying sulfated glycosaminoglycan content (sGAG) and via PAGE. The protein content was then quantified using ECM‐targeted Quantitative conCATamers (QconCAT) by LC‐SRM analysis using 83 stable isotope labeled (SIL) peptides representing 48 different proteins. Nontargeted global analysis was also implemented using LC‐MS/MS.ResultsThe sGAG content, PAGE, and QconCAT proteomics analysis showed significant variation between each of the six patient samples. The quantitative proteomics indicated that the majority of the protein content was composed of various fibrillar collagen components. Also, quantification of difficult to remove cellular proteins represented less than 1% of total protein content, which is very low for a decellularized biomaterial. Global proteomics identified over 200 distinct proteins present in the human cardiac ECM.Conclusion and clinical relevanceIn conclusion, quantification and characterization of human myocardial ECM showed significant patient‐to‐patient variability between the six investigated patients. This is an important outcome for the development of allogeneic derived biomaterials and for increasing our understanding of human myocardial ECM composition.
Acute‐phase protein serum amyloid A3 is a novel paracrine coupling factor that controls bone homeostasis
Thaler, Roman , Sturmlechner, Ines , Spitzer, Silvia , Riester, Scott M. , Rumpler, M., Zwerina, Jochen , Klaushofer, Klaus, Wijnen, André J. van , Varga, Franz, Rumpler, Monika, van Wijnen, Andre J, van Wijnen, Andre J , Sturmlechner, Ines

The FASEB Journal | December 9, 2014 | Volume: 29 | Issue: 4 | Pages: 1344-1359

10.1096/fj.14-265512 | PMID 25491310 Get It

Serum amyloid A (A‐SAA/Saa3) was shown before to affect osteoblastic metabolism. Here, using RT‐quantitative PCR and/or immunoblotting, we show that expression of mouse Saa3 and human SAA1 and SAA2 positively correlates with increased cellular maturation toward the osteocyte phenotype. Expression is not detected in C3H10T1/2 embryonic fibroblasts but is successively higher in preosteoblastic MC3T3‐E1 cells, late osteoblastic MLO‐A5 cells, and MLO‐Y4 osteocytes, consistent with findings using primary bone cells from newborn mouse calvaria. Recombinant Saa3 protein functionally inhibits osteoblast differentiation as reflected by reductions in the expression of osteoblast markers and decreased mineralization in newborn mouse calvaria. Yet, Saa3 protein enhances osteoclastogenesis in mouse macrophages/monocytes based on the number of multinucleated and tartrate‐resistant alkaline phosphatase‐positive cells and Calcr mRNA expression. Depletion of Saa3 in MLO osteocytes results in the loss of the mature osteocyte phenotype. Recombinant osteocalcin, which is reciprocally regulated with Saa3 at the osteoblast/osteocyte transition, attenuates Saa3 expression in MLO‐Y4 osteocytes. Mechanistically, Saa3 produced by MLO‐Y4 osteocytes is integrated into the extracellular matrix of MC3T3‐E1 osteoblasts, where it associates with the P2 purinergic receptor P2rx7 to stimulate Mmp13 expression via the P2rx7/MAPK/ERK/activator protein 1 axis. Our data suggest that Saa3 may function as an important coupling factor in bone development and homeostasis.—Thaler, R., Sturmlechner, I., Spitzer, S., Riester, S. M., Rumpler, M., Zwerina, J., Klaushofer, K., vanWijnen, A. J., Varga, F. Acute‐phase protein serum amyloid A3 is a novel paracrine coupling factor that controls bone homeostasis. FASEB J. 29, 1344‐1359 (2015). www.fasebj.org
Republished: The association between inflammatory markers, serum lipids and the risk of cardiovascular events in patients with rheumatoid arthritis
Chen, Lang, Delzell, Elizabeth, Muntner, Paul , Hillegass, William B. , Safford, Monika M. , Crowson, Cynthia S. , Zhang, Jie , Navarro-Millán, Iris Y. , Curtis, Jeffrey R.

Postgraduate Medical Journal | November 27, 2014 | Volume: 90 | Issue: 1070 | Pages: 722-729

10.1136/postgradmedj-2013-204715rep | PMID 25431465 Get It

Abstract Objective To examine the association of serum inflammatory markers (erythrocyte sedimentation rate (ESR) and C-reactive protein (CRP)) and serum lipid measures (low-density lipoprotein (LDL)- and high-density lipoprotein (HDL)-cholesterol) with risk of myocardial infarction (MI) and ischaemic stroke (IS) among rheumatoid arthritis (RA) patients. Methods We conducted a retrospective cohort study using 2005–2010 data from a US commercial health plan. Eligible patients had two or more physician diagnoses of RA during a baseline period of at least 180 days with continuous medical and pharmacy coverage. We computed age-adjusted incidence rates of MI and IS, and used spline regression to assess non-linear associations and Cox-regression to quantify the independent association between the laboratory values and the outcomes. Results We identified 44 418 eligible RA patients (mean age 49 years; 76% women). CRP&gt;10 mg/L compared with &lt;1 mg/L was associated with increased MI risk (HR 2.12; 95% CI 1.02 to 4.38). ESR&gt;42 mm/h compared with &lt;14 mm/h was associated with increased risk of MI (HR 2.53; 95% CI 1.48 to 4.31) and IS (HR 2.51; 95% CI 1.33 to 4.75) risk. HDL-cholesterol ≥60 mg/dL (1.6 mmol/L) compared with &lt;40 mg/dL (1.0 mmol/L) was associated with reduced MI risk (HR 0.37; 0.21 to 0.66). The association between LDL and MI was not linear; the lowest risk was observed among patients with LDL between 70 mg/L (1.8 mmol/L) and 100 mg/L (2.6 mmol/L). We did not observe a significant association between LDL and IS. Conclusions This study provides evidence supporting the hypothesis that RA-related systemic inflammation plays a role in determining cardiovascular risk and a complex relationship between LDL and cardiovascular risk.