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  • 1
    In: Obesity, Wiley, Vol. 14, No. 5 ( 2006-5), p. 794-798
    Materialart: Online-Ressource
    ISSN: 1930-7381 , 1930-739X
    Sprache: Unbekannt
    Verlag: Wiley
    Publikationsdatum: 2006
    ZDB Id: 2027211-X
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  • 2
    Online-Ressource
    Online-Ressource
    Elsevier BV ; 2003
    In:  European Journal of Obstetrics & Gynecology and Reproductive Biology Vol. 110, No. 2 ( 2003-10), p. 224-229
    In: European Journal of Obstetrics & Gynecology and Reproductive Biology, Elsevier BV, Vol. 110, No. 2 ( 2003-10), p. 224-229
    Materialart: Online-Ressource
    ISSN: 0301-2115
    Sprache: Englisch
    Verlag: Elsevier BV
    Publikationsdatum: 2003
    ZDB Id: 2005196-7
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  • 3
    Online-Ressource
    Online-Ressource
    Dustri-Verlgag Dr. Karl Feistle ; 2012
    In:  Int. Journal of Clinical Pharmacology and Therapeutics Vol. 50, No. 01 ( 2012-01-01), p. 70-71
    In: Int. Journal of Clinical Pharmacology and Therapeutics, Dustri-Verlgag Dr. Karl Feistle, Vol. 50, No. 01 ( 2012-01-01), p. 70-71
    Materialart: Online-Ressource
    ISSN: 0946-1965
    Sprache: Englisch
    Verlag: Dustri-Verlgag Dr. Karl Feistle
    Publikationsdatum: 2012
    SSG: 12
    SSG: 15,3
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  • 4
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    American Association for Cancer Research (AACR) ; 2019
    In:  Cancer Research Vol. 79, No. 13_Supplement ( 2019-07-01), p. 3074-3074
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 79, No. 13_Supplement ( 2019-07-01), p. 3074-3074
    Kurzfassung: The BET family of bromodomain proteins (BRD2, BRD3, BRD4, and BRDT) has emerged as a promising new cancer target for small-molecule drug discovery. GSK 1324726A (I-BET726) is a highly selective inhibitor of BET family proteins that binds BRD2, BRD3 and BRD4 with IC50 of 41 nM, 31 nM, and 22 nM, respectively. In the present study, we aimed to identify sensitive tumor types for GSK 1324726A and predictive biomarkers for response or resistance. GSK 1324726A was tested in vitro in a 2D monolayer assay in 274 human tumor cell lines of 36 tumor types (50 liquid and 224 solid cancer cell lines). Antitumor activity was then tested in vivo in 5 of the most sensitive tumor cell lines transplanted sc in nude mice. Drug sensitivity results in vitro were correlated with molecular data of the tumor models, including whole exome mutations, gene copy number variations and gene expression profiles. GSK 1324726A showed a moderate anti-tumor potency (median IC70 6,6 µM, range 0.03 - & gt;30 µM) and a pronounced selectivity in a wide range of blood and solid cancer cell lines. AML, ALL, multiple myelomas and B-cell lymphomas were 1 log more sensitive than the most sensitive solid tumors. Taking 10% of the median IC70 of all tumors as cut off (0.66 µM) 5/11 AML, 4/9 ALL, 5/11 MM and 7/13 B-NHL were sensitive. Among the solid tumor panel cervix uterus and prostate models were sensitive (2/5) followed by breast, soft tissue, CRC, ovarian cancers and melanomas (between 17 and 40%). In-vivo experiments of the most sensitive tumors are under way. The MTD of GSK 1324726A (po for 15 days) was 15 mg/kg/day as it effected a slight body weight loss of 4% and no lethality. Evaluation of tumor cell lines for molecular parameters associated with response was carried out separately for hematologic and solid cell lines. For the leukemias, lymphomas and myelomas about 100 genes were significantly associated with response to GSK 1324726A at the transcriptome level (intersection of Spearman and Limma tests, adjusted p values & lt;0.05). JAG1 was identified as the most significant gene among them. JAG1 is known to interact with receptors in the Notch signaling pathway and regulate cell fate decisions. Solid tumor models did not show a strong predictive gene pattern. Integrative analysis with significant genomic and transcriptomic parameters is currently ongoing to develop a molecular predictor of response to GSK 1324726A. Extending evaluation of the compound in vivo and continuing investigation of predictors of response are underway. Citation Format: Heinz-Herbert Fiebig, Gerhard Kelter, Hans R Hendriks, Vincent Vuaroqueaux. Broad spectrum activity of the BET inhibitor GSK 1324726A in hematologic and solid cancer cell lines in-vitro and determination of associated predictive biomarkers [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 3074.
    Materialart: Online-Ressource
    ISSN: 0008-5472 , 1538-7445
    RVK:
    RVK:
    Sprache: Englisch
    Verlag: American Association for Cancer Research (AACR)
    Publikationsdatum: 2019
    ZDB Id: 2036785-5
    ZDB Id: 1432-1
    ZDB Id: 410466-3
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  • 5
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 73, No. 8_Supplement ( 2013-04-15), p. 3835-3835
    Kurzfassung: For compounds directed against molecular targets expressed in tumor cells, the ex vivo 3D tumor clonogenic assay (TCA) is a rapid and reliable ex vivo assay with a high predictive value for in vivo tumor sensitivity. Single cell suspensions prepared from patient-derived tumor xenografts (PDX) growing subcutaneously in nude mice or from cultured human tumor cell lines are seeded in semisolid medium and tumor colony formation is monitored in the presence or absence of test compounds over a period of one to three weeks. Based on experiments with up to 70 PDX, we have demonstrated that the TCA accurately replicates the in vivo sensitivity of PDX towards cMet inhibitors across all major tumor histologies. More specifically, all three NSCLC PDX that regressed in response to cMet inhibition in in vivo efficacy tests were sensitive to several cMet inhibitors in the ex vivo TCA. By contrast, data obtained with a 2D cell proliferation and survival assay did not correlate with the 3D and in vivo situations, suggesting that cMet function does not affect cell survival and proliferation on plastic but confers the capacity for anchorage-independent growth. The correlation of 3D but not 2D data with in vivo sensitivity was confirmed using anti-cMet siRNAs in selected PDX-derived non-small cell lung cancer cell lines. Preliminary immunohistochemical analysis revealed that PDX sensitive to cMet inhibitors expressed high cMet levels while not all PDX expressing high cMet levels were sensitive to cMet inhibitors. In conclusion, for cMet inhibitors the TCA replicates in vivo sensitivities of PDX to a high degree. Due to its short duration the TCA is an excellent tool for the screening of large numbers of cMet inhibitors and PDX. As all of the PDX qualified for use in the TCA ( & gt;200) have been extensively molecularly characterised (gene expression, gene copy number variation and mutation analysis) this assay is also an excellent tool for generating high quality biomarker hypotheses during the preclinical profiling of molecules intended for oncology indications. Citation Format: Sabine Gorynia, Jianing Guo, Andreas Ackermann, Armin Maier, Rebekka Krumbach, Gerhard Kelter, Vincent Vuaroqueaux, Thomas Metz, Thomas Metcalfe, Heiner H. Fiebig. Ex vivo 3D assay: rapid and reliable replication of the in vivo anti-tumor efficacy of c-Met inhibitors. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 3835. doi:10.1158/1538-7445.AM2013-3835
    Materialart: Online-Ressource
    ISSN: 0008-5472 , 1538-7445
    RVK:
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    Sprache: Englisch
    Verlag: American Association for Cancer Research (AACR)
    Publikationsdatum: 2013
    ZDB Id: 2036785-5
    ZDB Id: 1432-1
    ZDB Id: 410466-3
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  • 6
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 74, No. 19_Supplement ( 2014-10-01), p. LB-314-LB-314
    Kurzfassung: Gastric cancer is the fourth most common cancer diagnosed and the second most frequent cause of cancer-related death worldwide. Multiple factors can contribute to the development of gastric cancer, including H. pylori infection, dietary behaviour and life style, possibly resulting in distinct cancer subtypes with different drug sensitivity profiles. In the present study we searched for gastric cancer mutation patterns in the dataset of the “The Cancer Genome Atlas” (TCGA) and in our collection of patient derived xenografts (PDX). In a second part, we evaluated gene alteration patterns for their implications for drug sensitivity. In both TCGA and our PDX datasets, Whole Exome Sequencing analyses revealed two subsets of gastric tumors characterized by specific mutation signatures, with different types and numbers of genomic alterations. The first subset (60% and 75% of samples) contained lower levels of mutations and was characterized by increased numbers of large chromosomal rearrangements resulting in gene loss or amplifications. The second subset of tumors (25%-40% of samples) revealed higher levels of mutations that were predominantly nucleic acid substitutions and small indels linked to mismatch repair genes including MLH1 or MSH3 and to high microsatellite instability. In both subsets, the mutation spectrum was dominated by C & gt;T transitions with an increase of small indels in the subset of highly-mutated tumors. At the gene level, the genes which were mutated in our gastric PDX collection overlapped to great extent with the mutations found in TCGA tumors, especially regarding the most frequently mutated genes. In the first subset, high levels of gene amplifications and deletions were found, including growth factor receptor amplifications in EGFR and HER2. Furthermore, the mutation frequency in genes associated with drug resistance such as KRAS was decreased. The tumors with growth factor receptor amplification responded consistently to therapies such as Cetuximab or Trastuzumab. In contrast, an increased frequency of mutations in oncogenes and tumor suppressors, including KRAS (n=5/10), PIK3CA (n=5/10) and PTEN (n=7/10), was found in the second subset. The mutational profile of these tumors suggest the use of compounds targeting downstream molecules, such as PIK3CA, or targeting effectors of DNA repair, such as PARP, for anti-cancer therapy. Of note, no association was found between the mutation groups and sensitivity to chemotherapeutic agents such as 5FU, Cisplatin or Paclitaxel. In conclusion, we identified two subsets of gastric tumors both in the TCGA dataset and in our collection of PDX models, characterized by distinct genomic alteration profiles suggesting different therapeutic approaches. Currently, we are assessing drug sensitivity profiles within the two subsets in our PDX models. Citation Format: Anne-Lise Peille, Swee-Seong Wong, Florian Kiefer, Bruno Zeitouni, Armin Maier, Frederic Foucault, Tim Kees, Vincent Vuaroqueaux, Amit Aggarwal, Christoph Reinhard, Heinz Herbert Fiebig. Whole exome sequencing analyses of gastric cancers reveal two distinct genomic alteration patterns with implications in drug sensitivity. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr LB-314. doi:10.1158/1538-7445.AM2014-LB-314
    Materialart: Online-Ressource
    ISSN: 0008-5472 , 1538-7445
    RVK:
    RVK:
    Sprache: Englisch
    Verlag: American Association for Cancer Research (AACR)
    Publikationsdatum: 2014
    ZDB Id: 2036785-5
    ZDB Id: 1432-1
    ZDB Id: 410466-3
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  • 7
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 82, No. 12_Supplement ( 2022-06-15), p. 1132-1132
    Kurzfassung: Adavosertib (AZD1775, MK-1775), a clinical stage inhibitor of the tyrosine kinase WEE1, was investigated in a cell proliferation and survival assay with 140 human cancer cell lines (CLs) representing all major tumor types (ProLiFiler platform of Reaction Biology) followed by mechanism of action (MoA) and biomarker analyses using 4HF Biotec’s Cancer Data Miner in silico platform. Adavosertib exhibited a broad anti-cancer activity across all hematological and solid tumor types with IC50 values ranging from 0.06 to 10 µM (median: 0.38 µM), matching the consistently high expression of the WEE1 gene. Among 900 reference compounds, the activity profile of adavosertib correlated best with the profiles of compounds targeting the replication stress response including other WEE1 inhibitors but also inhibitors of checkpoint kinase 1 and 2 (CHK1/2) or ataxia telangiectasia-mutated (ATM). Significant correlations were also seen with compounds blocking mitosis, DNA replication and DNA repair. Interestingly, we observed a subset of cell lines that were resistant to both DNA synthesis and PARP inhibitors but were sensitive to WEE1 inhibition. Moreover, by using multiple datasets of WEE1 inhibitors connected to the molecular annotations of CLs for a data driven biomarker screening, we identified MYC mutations as a predictive marker of sensitivity and PIK3CA or ERBB2 gene amplifications as predictors of resistance. Transcriptome analysis identified up to 900 genes for which higher expression in CLs was associated with CL sensitivity to the compound. Preliminary pathway analysis indicated that these genes are well represented among nuclear factor and Myc-regulated genes. In conclusion, our studies demonstrate broad anticancer activity of adavosertib and confirm its proposed MoA. The biomarkers we identified will facilitate the selection of pre-clinical in vivo tumor models and, if confirmed, even patient selection for clinical trials. The combined use of the ProLiFiler and Cancer Data Miner Platforms has the potential to accelerate and de-risk the development of anti-cancer agents. Citation Format: Vincent Vuaroqueaux, Daniel Feger, Anne-Lise Peille, Oliver Siedentopf, Sadhana Panzade, Sarah Ulrich, Sebastian Dempe, Heinz-Herbert Fiebig, Jan Erik Ehlert. A systems biology approach combining ProLiFiler and Cancer Data Miner for an enhanced preclinical characterization of the WEE-1 inhibitor Adavosertib [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): A ACR; Cancer Res 2022;82(12_Suppl):Abstract nr 1132.
    Materialart: Online-Ressource
    ISSN: 1538-7445
    Sprache: Englisch
    Verlag: American Association for Cancer Research (AACR)
    Publikationsdatum: 2022
    ZDB Id: 2036785-5
    ZDB Id: 1432-1
    ZDB Id: 410466-3
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  • 8
    In: Molecular Cancer Therapeutics, American Association for Cancer Research (AACR), Vol. 10, No. 11_Supplement ( 2011-11-12), p. A52-A52
    Kurzfassung: Background: PTEN alterations are major determinants of resistance to several new targeted therapies involving EGFR/PI3K/PTEN pathways. Recent findings also suggested implication of its associated PTENP1 pseudogene. PTEN can be altered at the gene or transcriptional level. PTEN expression is often higher in stroma than in tumor cells complicating readouts of assayed tumor samples. Taking advantage of the stroma of xenografted human tumors in nude mice being produced by the host, we characterized specific PTEN/PTENP1 tumor cell transcript expression levels and mutational status in a large panel of tumor models. Materials and Methods: A total of 192 patient-derived xenografts of 23 different histotypes were investigated. Human and murine PTEN, PTENP1 mRNA levels as well as PTEN gene copy numbers were quantified by quantitative polymerase chain reaction using species specific assays; PTEN transcript was analyzed by sequencing. Results were analyzed by tumor type and compared to sensitivity to cetuximab. Results: PTEN transcript alterations were observed in 32 of the 192 tumor xenografts (17%) and were shown to be due to loss of PTEN gene for 9, to loss of transcript expression for 4 and to frameshift or substitution-missense mutations for 14 and 7 samples, respectively. PTEN expression levels and alteration frequency were both associated with specific histotypes. Melanoma and breast cancer showed most PTEN alterations (6/11 and 6/16 respectively). PTENP1 pseudogene was shown to be well expressed in only 61% of tumor xenografts, whereby expression levels depended on the tumor type. No or low PTENP1 expression was found in tumor models having a PTEN alterations. Finally, in a tumor panel consisting of colon, non-small cell lung, gastric and head and neck cancer we found that none of the PTEN altered tumors analyzed were sensitive to cetuximab in vivo. Conclusion: This study confirmed the multiplicity of PTEN alterations occurring in cancer. PTEN expression levels and alterations were associated with PTENP1 expression levels and depended on tumor types. PTEN alterations were shown to be associated with tumor resistance to cetuximab and their impact on other targeted therapies involving EGFR/PI3K/PTEN pathways should be evaluated. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the AACR-NCI-EORTC International Conference: Molecular Targets and Cancer Therapeutics; 2011 Nov 12-16; San Francisco, CA. Philadelphia (PA): AACR; Mol Cancer Ther 2011;10(11 Suppl):Abstract nr A52.
    Materialart: Online-Ressource
    ISSN: 1535-7163 , 1538-8514
    Sprache: Englisch
    Verlag: American Association for Cancer Research (AACR)
    Publikationsdatum: 2011
    ZDB Id: 2062135-8
    SSG: 12
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 9
    Online-Ressource
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    American Association for Cancer Research (AACR) ; 2015
    In:  Molecular Cancer Therapeutics Vol. 14, No. 12_Supplement_2 ( 2015-12-01), p. A102-A102
    In: Molecular Cancer Therapeutics, American Association for Cancer Research (AACR), Vol. 14, No. 12_Supplement_2 ( 2015-12-01), p. A102-A102
    Kurzfassung: Non-small cell lung cancer (NSCLC) is a heterogeneous disease comprising different histological subtypes with therapeutic implications. We have established a collection of 76 NSCLC patient-derived xenografts (PDX) comprising adenocarcinoma (39), squamous cell carcinoma (24) and large-cell carcinoma (11) models (2 mixed) for use in anti-cancer drug development and pharmacogenomics research. We analyzed the molecular diversity of our PDX collection using whole-exome sequencing, Affymetrix SNP6.0 and RNAseq, assessed their similarity to patient tumors and the impact on drug testing. Similar to patient lung cancers, genomic analyses revealed that the NSCLC PDX were heavily altered tumors with an overall mutations load ranking from 317 to 1549 per model (mean = 682 mutations). We retrieved signatures of mutational processes known to be associated with ageing, smoking and APOBEC alterations. In addition to the mutations, chromosomal instability characterized by polyploidy including focal gene amplifications (most frequently 2p11.2, 14q32.33) and deletions (e.g. recurrent deletions of 3p14.2, 9p21.3) and gene fusions were detected. While no significant differences in average mutation loads or levels of polyploidy between the histotypes were found, histotype-specific gene alterations and gene expression profiles were identified. In line with in vivo resistance to anti-EGFR treatment, alterations of the RAS/RAF pathway, PIK3CA and PTEN, as well as the MET amplification occurred more frequently in adenocarcinoma and large cell PDX explaining the resistance of 90% of models to anti-EGFR. Among adenocarcinoma and large cell PDX, we identified three models with EGFR mutations, one of which contained the codon insertion EGFRM766X associated with a strong sensitivity towards cetuximab but not erlotinib. In addition, we identified adenocarcinoma PDX models in which KIT was amplified and large cell PDX with deletions in CDKN2A/B, alterations in the RAS/RAF pathway (73%) and epigenetic regulation pathways (64%). Squamous cell PDX were less frequently altered in the RAS/RAF pathway, but frequently had altered TP53 (90%), PIK3CA and PTEN (30%) and high expression of TP63 and FGFR3. Furthermore, a highly expressed FGFR3-TACC3 fusion gene was identified in one squamous cell PDX, which is under evaluation for sensitivity towards anti-FGFR3. Regarding PDX response to standard-of-care agents, squamous cell PDX were the most sensitive to cisplatin whereas adenocarcinoma PDX were the most resistant (p = 0.003). In contrast, both groups were more sensitive to paclitaxel than large cell PDX (p = 0.03). These findings suggest distinct molecular profiles influence the response to cytotoxic agents. Molecular profiling of our NSCLC PDX collection confirmed its similarity to patient tumors and highlighted the distinct molecular specificities of each subtype, suggesting different therapeutic approaches. This extensive characterization will help improve the selection of PDX models in future drug development. Citation Format: Anne-Lise Peille, Bruno Zeitouni, Vanina Fiebig, Heinz-Herbert Fiebig, Vincent Vuaroqueaux. Molecular profiling of a non-small cell lung PDX collection by whole exome sequencing and RNAseq revealed subtype specificities with therapeutic implications. [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 A102.
    Materialart: Online-Ressource
    ISSN: 1535-7163 , 1538-8514
    Sprache: Englisch
    Verlag: American Association for Cancer Research (AACR)
    Publikationsdatum: 2015
    ZDB Id: 2062135-8
    SSG: 12
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  • 10
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    American Association for Cancer Research (AACR) ; 2021
    In:  Cancer Research Vol. 81, No. 13_Supplement ( 2021-07-01), p. 1173-1173
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 81, No. 13_Supplement ( 2021-07-01), p. 1173-1173
    Kurzfassung: Pancreatic cancer (PC) is the 12th most common cancer worldwide. Despite a large panel of chemo- and targeted therapeutics options, patient prognosis remains poor with a 5-years overall survival below 10%. Thus, there is still a critical need to develop more efficient therapeutic alternatives. Antibody drug conjugates (ADC) and small molecule drug conjugates (SMDC) combine the oncolytic activity of highly potent chemotherapies with the target specificity of an antibody or a small molecule. Both ADC and SMDC are of increasing interest for cancer treatment, as they allow more specific delivery of chemotherapies to the tumor site. Facing the clinical needs for PC treatment, here we present an in-silico analysis to reveal specific targets for further ADC/SMDC development. 4HF Biotec has developed a proprietary platform connecting large clinical, OMICS and drug sensitivity data from various sources. It includes annotation for more than 1,800 preclinical models (cell lines, cell line-derived xenografts, and patient-derived xenografts), up to 11,000 patient tumors and 22,000 normal tissues (TCGA, GTEx and various GEO datasets). For tumor target discovery purposes, we designed and implemented the platform with specific analytics tools. To identify specific targets for PC, we first decided to analyze preclinical models, to focus on genes expressed by tumor cells and not by stroma cells. This aspect is particularly important in the context of PC which often have a high stroma content. Differential gene expression analysis of 113 PC preclinical models versus 1,737 tumor models from up to 30 tumor entities revealed 327 PC specific genes potentially targetable. Then, a similar analysis was performed by testing TCGA patient tumors (179 pancreatic tumors vs 9,521 patient tumors from other entities) and revealed 1,292 pancreatic specific genes. Finally, PC patient tumors were compared to 709 samples from various normal organs allowing to identify 1,156 tumor specific genes. At the intersection of these three analyses, we identified 56 PC-specific target candidates for ADC/SMDC development. Among the top candidates, MUCL3 (mucin like 3) was one of the most promising genes. Its mRNA expression is almost exclusively restricted to pancreatic and stomach samples in both preclinical models and TCGA patient tumors. It is overall not frequently expressed by normal tissues, and restricted to subsets of stomach, esophagus, and lung samples. The gene encodes for a transmembrane protein with a long weakly glycosylated extracellular part. A detailed analysis of the protein characteristics and expression modalities will be shown. The present work demonstrates that our in silico platform helps to identify promising targets for PC treatment using ADC/SMDC approaches. Our analyses revealed MUCL3 as one of the top candidates, further analyses will be needed to determine its druggability using small molecules or antibodies. Citation Format: Anne-Lise Peille, Alexandra Musch, Hoor Al-Hasani, Heinz-Herbert Fiebig, Vincent Vuaroqueaux. Identification of novel targets for the treatment of pancreatic cancer patients [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 1173.
    Materialart: Online-Ressource
    ISSN: 0008-5472 , 1538-7445
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    Sprache: Englisch
    Verlag: American Association for Cancer Research (AACR)
    Publikationsdatum: 2021
    ZDB Id: 2036785-5
    ZDB Id: 1432-1
    ZDB Id: 410466-3
    Standort Signatur Einschränkungen Verfügbarkeit
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