Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    In: Molecular Oncology, Wiley, Vol. 10, No. 5 ( 2016-05), p. 704-718
    Abstract: We describe a new technique to monitor the efficacy of antiangiogenics. This drug class currently lacks biomarkers. Antiangiogenics exert their positive effect by inducing stromal normalization. 18F‐fluoromisonidazole PET is able to monitor stromal normalization. Tumors showing stromal normalization by PET experience benefit from antiangiogenics.
    Type of Medium: Online Resource
    ISSN: 1574-7891 , 1878-0261
    Language: English
    Publisher: Wiley
    Publication Date: 2016
    detail.hit.zdb_id: 2322586-5
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 2
    Online Resource
    Online Resource
    American Society of Clinical Oncology (ASCO) ; 2013
    In:  Journal of Clinical Oncology Vol. 31, No. 15_suppl ( 2013-05-20), p. 11033-11033
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 31, No. 15_suppl ( 2013-05-20), p. 11033-11033
    Abstract: 11033 Background: FVB MMTV PyMT is a great mouse model for studying LBC due to its stochastic nature, immune system preservation, natural growth kinetics and ER/HER2 status. We approached the transcriptomic (T), proteomic (P), phospho-proteomic (P-P) and metabonomic (M) layers of regulation of the tumor phenotype attempting to unravel mechanisms of resistance to antiangiogenic drugs (ADs) and find new targets. Methods: Treatments started when tumors measured 0,1cm 3 ; with the VEGFR/PDGFR inhibitor BIBF 85mg/kg/day; a murine analog of B 10mg/kg/biweekly; or vehicle (V). Tumors were harvested at time 0, week 1 (T1), or at sacrifice (Tend, 1cm 3 ). Cd31 and pimomidazole measured vascularization and O2. T; P/P-P; and M layers were interrogated with sure print 3G arrays; titanium separation - HPLC fractionation - orbitrap spectrometer run; and GC/MS and LC/MS. Gene ontology pathways were discovered with GSEAS; kinase networks by consensus domain analysis; metabolic pathways rearrangement with in-house built bioinformatic tools. Pairwise comparisons included 〉 15 mice/condition. All results: p or false-discovery ratio 〈 0,05. Results: Total mice in study:2,327. BIBF-treated showed: early (T1 vs. 0) ↓glycolysis (55%) and ↑pyruvate diversion to Krebs mediated by ↓800% phosphorylation of PDH, ↑ ketones uptake and degradation (220%), mediated by 2700% ↑AMPK activity; late (Tend) 900% ↑ lipid uptake and aerobic degradation mediated by 〉 800% ↑ ERK/B-adrenergic/PKA and PPARg (1600%) signaling. All changes supported by GSEAS. Adding blockade of AMPK, ERK, B-adrenergic or PPARg (ShRNAs or compounds) to BIBF yielded at least 50% growth delay (Anova). Tend B-treated tumors showed 210% ↑degradation of tryptophan to immunosuppressive (IS) kynurenine, and 〉 200% ↑ levels of IS/vasodilator prostaglandins. Celecoxib added to B delayed growth 90%. B and V induced similar ↑of hypoxic/necrotic areas (T0-1-end: 5%-15%-52%, Poisson), no change in CD31. BIBF avoided necrosis/hypoxia despite 〉 30% ↓ in CD31. Conclusions: Our strategy identified differential mechanisms of action of ADs in LBC. BIBF induces a switch from Warburg to aerobic metabolism; B reprograms the immune response. Regulators of these processes constitute targets.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2013
    detail.hit.zdb_id: 2005181-5
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 3
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 79, No. 13_Supplement ( 2019-07-01), p. 513-513
    Abstract: Purpose of the study: To gain insight to the proportion of solid tumors that express IDO1, CD73 and PD-L1 in lung cancer, colon adenocarcinoma, renal cell carcinoma (RCC) and melanoma, and the correlation between expression of these immune checkpoints and immune cell infiltration within the tumor. Experimental procedures: Using a battery of properly validated antibodies, we have performed an in situ analysis of IDO1, CD73 and PD-L1 expression by immunohistochemistry in a panel of colon cancer (n=68), lung cancer (n=36), RCC (n=67) and melanoma (n=48) tissue microarray samples. Tumor infiltrating T cells, CD3+ and CD8+, were also detected by IHC and counted in serial sections for each sample. We search for a possible a correlation between the expression of these immunosuppressor proteins and the number of infiltrating CD3+ and CD8+ T cells as well as their expression in the different tumor components: tumor cells, stroma and endothelium. Results: Our IHC analysis allowed us to classify the analyzed samples into two main groups: those with expression of IDO1, CD73 and PD-L1, which were also the ones with a high presence of immune cells within the tumors, “hot tumors”, and those that showed to be negative for all three proteins, and that correlated with lower infiltration of T cells, “cold tumors”. We also analyzed the location of the proteins within the tumors, and found an effect between endothelial expression of Ido1 and reduced infiltration in lung and RCC tumors. Conclusions: The response to combined immune checkpoint and IDO1 therapy could depend on the proper stratification of patients; therefore, it is of significant interest to determine the proportion of solid tumors that express IDO1, CD73 and PD-L1, and the correlation of the expression of these three immune check points to immune cell infiltration within the tumor. Thus, proper patient stratification based on the expression of these immune checkpoints may improve the efficacy of IDO1 inhibitor based immune therapies. Citation Format: Ana Cerezo, Gloria Martinez-del Hoyo, Sandra Peregrina, Tamara Mondejar, Eduardo Caleiras, Patricia Gonzalez, Eva Lospitao, Sonia Hernandez-Tiedra, Laura Diezma, Estela Casas, Frank Dorsey, Karim Benhadji, Raymond Gilmour, Sandaruwan Geeganage, Susana Velasco. Investigating the expression of indolamine deoxygenase I (IDO1) and other immune markers in tissue microarrays [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 513.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2019
    detail.hit.zdb_id: 2036785-5
    detail.hit.zdb_id: 1432-1
    detail.hit.zdb_id: 410466-3
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 4
    In: Cell Reports, Elsevier BV, Vol. 15, No. 12 ( 2016-06), p. 2705-2718
    Type of Medium: Online Resource
    ISSN: 2211-1247
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2016
    detail.hit.zdb_id: 2649101-1
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 5
    In: Molecular Cancer Therapeutics, American Association for Cancer Research (AACR), Vol. 14, No. 12_Supplement_2 ( 2015-12-01), p. B9-B9
    Abstract: BACKGROUND: Triple-negative breast cancer (TNBC) is a breast cancer subtype that is not defined by targetable molecular markers. Since all the aberrations that exist and ultimately contribute to the tumor phenotype converge, from a functional point of view, in the final status of the phosphorylation of the proteome in a given moment, we sought to interrogate the phosphoproteome with two aims: 1) establish a taxonomy of TNBC based on measurable markers that predict clinical course; 2) reduce the phosphoproteome that characterizes the bad- from good-prognosis cases to its targetable, driving kinases, in order to define rational therapeutic approaches in TNBC. We chose mass spectrometry as a discovery approach, because of its coverage, sensitivity, dynamic range and specificity. Here we report the part of phosphoproteomic analysis used for establishing a new taxonomy of TNBC. METHODS: We performed quantitative phosphoproteomics from a discovery set of 34 frozen tumor samples divided in two sets paired by classic prognosis factors: 1, with 13 patients relapsed in less than 3 years; 2, 21 patients, no relapse in 10 years follow up. Raw data were processed with Maxquant and cases clustered using a supervised hierarchical approach. Kinases (predicted with linear domain consensus analysis tools using a PHOSIDA) and phospho-sites discriminating the set 1 from 2 were validated by immunohistochemistry in 113 consecutive TNBC cases, spotted in TMAs, with 14 years follow up. RESULTS: Overall, 15000 unique phosphopeptides were identified. Supervised clustering of subset 1 vs. 2 showed that 161 and 541 peptides were significantly more phosphorylated in the subset 1 and 2, respectively (FDR & lt;0.15). Consensus domain analysis predicted kinases CDK1,2,4,6, CLK1, DAPK3/ZIPK, PAK2, RSK1, p70S6K, AKT, PKCEpsilon and PIM1 were driving the profile of subset 1. Those kinases, plus 9 phosphosites against which antibodies were available, were interrogated in the validation set. Kinase validation was performed directing an antibody against the active kinase form, if available; if not, against the total levels. The staining of kinases and the candidate phosphosites was analyzed with an Ariol, scored with a continue value from 0 to 3, and divided in quartiles for each staining probe. So far, 12 probes have been quantified. The prognosis of patients with upper quartile staining vs. the remainder was analyzed with the log-rank test and cox proportionate hazards model for each probe. Five of them showed statistically significant association with relapse (pSTAT3Tyr705, 6.1 vs. 10.1 years, p = 0.024; CYCB1, 7 vs. 10.3 years, p = 0.027; CDK6, 7 vs. 10.3 years, p = 0.013; pp70S6KThr389, 7.2 vs. 10 years, p = 0.042 and PRKCEpsilon, 7.1 vs. 10.2 years, p = 0.021). A combined variable integrating upper-quartile staining from either of those 5 probes occurring in 67.4% patients, identified almost all patients that experienced relapse: 48.3% of them relapsed (median time 7.6 years) vs. the reminder 32.6% of which only 13.8% relapsed (median time 11.9 years), log rank p = 0.001 INTERPRETATION: High-throughput mass-spectrometry is a powerful tool for generating a disease taxonomy, and can be translated to routine techniques like IHC. The signature constituted by pSTAT3Tyr705, CYCB1, CDK6, pp70S6K and PRKCEpsilon constitutes the most parsimonious signature to date able to detect all the early TNBC patients that relapse in the long term. Citation Format: Ivana Zagorac, Tamara Mondejar Tevar, Jesús Sánchez Ruíz, Albert Heck, Maarten Altelaar, Renske Penning, Harm Post, Gonzalo Gómez López, David Pisano, Javier Muñoz Peralta, Javier Muñoz Peralta, Manuel Morente, Luis Manso, Miguel Quintela-Fandiño. A phosphoproteomic portrait of triple - negative breast cancer: functional taxonomy. [abstract]. In: Proceedings of the AACR-NCI-EORTC International Conference: Molecular Targets and Cancer Therapeutics; 2015 Nov 5-9; Boston, MA. Philadelphia (PA): AACR; Mol Cancer Ther 2015;14(12 Suppl 2):Abstract nr B9.
    Type of Medium: Online Resource
    ISSN: 1535-7163 , 1538-8514
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2015
    detail.hit.zdb_id: 2062135-8
    SSG: 12
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 6
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 75, No. 15_Supplement ( 2015-08-01), p. 1493-1493
    Abstract: Antiangiogenic agents’ effects are elicited by VN, a process that improves tumor oxygenation and chemotherapy delivery, factors implicated in chemo-sensitivity. A biomarker that allowed monitoring this process non-invasively could help guiding individual therapeutic decisions. As hypoxia can be tracked with FMISO-PET, and hypoxia is influenced by vessel abnormality, we reasoned that a dynamic FMISO-PET monitoring of tumors treated with antiangiogenics at early timepoints could be informative of VN. Three pancreas cancer PDXs, (Panc215, Panc 286 and Panc219) were studied. Animals (athymic nude mice) were randomized to a window-of-opportunity (WOP) short course (4 days) of the multikinase inhibitor antiangiogenic agent dovitinib (DOV, a VEGFR1-3, PDGFRA/B and FGFR inhibitor) or vehicle. The WOP was preceded and followed by FMISO-PET and FDG-PET, as well as tumor sampling in order to assess vessel architecture and density (CD31 and confocal acquisition), 10Kda-dextran extravasation (vessel abnormality), tumor necrosis (H & E), and hypoxia staining (pimomidazole immunohistochemistry, in order to study the correspondence between FMISO-PET and tissue hypoxia evolution). After the WOP, animals were randomized to the addition of GEM or vehicle to their treatment. Tumor growth inhibition (TGI) was the parameter under study, comparing for each PDX the TGI of GEM, DOV or the combination versus vehicle. DOV did not exert significant TGI in any of the three models. FMISO-PET SUV levels evolved during the WOP: the SUV increased 53% and 72% for Panc286 and Panc219 when treated with vehicle, but remained unchanged during WOP for Panc215. The SUV changes were modulated by DOV: administered during the WOP, FMISO-PET SUV in Panc215 remained stable, but abrogated the increase in Panc219, and induced a 10% decrease in Panc285. FDG-PET showed that the areas that turned FMISO-PET-negative with DOV were still viable in the three models, confirmed by histologic examination (no significant change in the percentage of necrotic area surface). DOV did not add TGI effect to GEM in Panc215 but it improved TGI an additional & gt;80% and 75% compared to GEM alone in Panc286 and Panc219 (p = 0.02 and 0.001). Dovitinib reduced vessel tortuosity and dextran extravasation in Panc286 and Panc219, whereas did not change these parameters in Panc215 during the WOP. FMISO-PET mirrored pimomidazole staining evolution during the WOP. Intratumor gemcitabine concentration increased & gt;2fold after DOV vs. vehicle during the WOP in Panc286 and Panc219, whereas did not change in Panc215. In conclusion, FMISO-PET accurately monitors the changes following VN induced by DOV: hypoxia and vessel leakage reversal, and increased interstitial concentration of GEM. FMISO-PET monitoring during the WOP detect in which tumors antiangiogenic treatment exerts positive effects added to chemotherapy. Citation Format: Tamara Mondejar, Elena Hernadez-Agudo, Marisa Soto-Montenegro, Diego Megias, David Cebrian, Jesus Sanchez, Francisca Mulero, Ramon Colomer, Manuel Hidalgo, Manuel Desco, Miguel Quintela-Fandino. 18F-misonidazole PET (FMISO-PET) monitors vascular normalization (VN) and predicts benefit from antiangiogenic treatment plus chemotherapy in pancreas cancer. [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 1493. doi:10.1158/1538-7445.AM2015-1493
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2015
    detail.hit.zdb_id: 2036785-5
    detail.hit.zdb_id: 1432-1
    detail.hit.zdb_id: 410466-3
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 7
    In: Enfermería Intensiva, Elsevier BV, Vol. 31, No. 3 ( 2020-07), p. 131-146
    Type of Medium: Online Resource
    ISSN: 1130-2399
    Language: Spanish
    Publisher: Elsevier BV
    Publication Date: 2020
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. Further information can be found on the KOBV privacy pages