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  • American Association for Cancer Research (AACR)  (61)
  • 1
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 71, No. 8_Supplement ( 2011-04-15), p. 1624-1624
    Abstract: Aims: Several lines of evidence indicate that the nuclear enzyme SIRT1 belonging to the class III histone deacetylases is implicated in the initiation and progression of various malignancies. SIRT1 exerts its function by regulating deacetylation of histone and non-histone substrates leading to transcriptional repression of tumor suppressor genes. Recently, SIRT1 gained attraction as druggable target. Since chemotherapeutic treatment options are still very limited in pancreatic cancer we aimed at investigating the potential of SIRT1 in this regard by evaluating the effects of SIRT1 inhibition in vitro and SIRT1 expression in vivo. Methods: Employing immunohistochemistry SIRT1 expression was analyzed in a large cohort of pancreatic ductal adenocarcinomas and subsequently correlated with clinicopathological data and patient survival. Furthermore, we investigated the impact of SIRT1-specific small molecule inhibition and target knock down as well as combinatorial regimens including conventional chemotherapy and small molecule inhibitors directed against the EGFR in pancreatic cancer cell culture models. Using the xCELLigence system, cellular events were measured quantitatively in real time and corroborated by secondary conventional readouts including FACS analysis. Results: We found nuclear SIRT1 expression in 36 (27.9%) of 129 pancreatic carcinomas. SIRT1 expression was significantly higher in poorly differentiated carcinomas (p=0.002). SIRT1 expression was positively correlated with the expression of conventional HDACs suggesting a shared regulation. Strong SIRT1 expression was a significant predictor of poor survival both in univariate (p=0.002) and multivariate (HR 1.65, p=0.045) analysis under inclusion of WHO stage and grade. Small molecule inhibition and target knockdown of SIRT1 lead to a rapid growth arrest and influenced cell viability. This effect was even more pronounced in combinatorial regimens with Gefitinib, but not in combination with Gemcitabine. Conclusions: SIRT1 is shown to be an independent prognostic biomarker for pancreatic adenocarcinomas. Moreover our data suggest that SIRT1 plays an important functional role in pancreatic cancer cell growth, which can be levered out by combinatory small molecule inhibition. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 102nd Annual Meeting of the American Association for Cancer Research; 2011 Apr 2-6; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2011;71(8 Suppl):Abstract nr 1624. doi:10.1158/1538-7445.AM2011-1624
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2011
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  • 2
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 75, No. 13_Supplement ( 2015-07-01), p. A69-A69
    Abstract: PDAC is a highly aggressive disease with dismal prognosis [1, 2]. Despite extensive research and the discovery of several drug candidates, little progress has been reported since the approval of gemcitabine and erlotinib [1] . Moreover, recent trials with targeted therapies have shown only limited or no benefit [1, 2]. For a number of other carcinomas, tumor subclasses have been uncovered that allow the use of targeted therapies. The mutational landscape of PDAC is complex and heterogeneous, raising the question whether subclasses also exist in PDAC [3] . Collisson et al. described three PDAC subtypes that were identified based on their gene-expression profiles: The classical, the quasi-mesenchymal and the exocrine-like subtype [4]. However, not all subtypes could be identified in the previously available model systems. We have established a novel patient-derived model system that allows the analysis of these three human PDAC subtypes in vitro and in vivo. Hence, we provide a systematic workflow to propagate human PDAC in orthotopic xenografts and to derive tumor-initiating primary cell lines of all three PDAC subtypes. HNF-1 and Keratin 81 were identified as markers for subtype stratification by immunohistochemistry. Application of this two-marker set on a 258 large patient cohort confirmed a predominantly non-overlapping staining and revealed a significant difference in overall survival across the three subtypes. Furthermore, a drug screen uncovered subtype-specific drug sensitivities towards a number of drugs, including gemcitabine and dasatinib. Notably, the exocrine-like subtype was resistant towards all compounds tested. Thus, we aimed to identify the underlying cause of the observed drug resistance. Molecular analysis including gene set enrichment analysis (GSEA) allowed us to identify a putative novel mechanism of drug resistance. Analysis by qRT-PCR and Western blot demonstrated the enhanced expression of several genes mediating this mechanism particularly in the exocrine-like subtype in vitro and in vivo. These findings led to the identification of a novel protein target central to this mechanism. Additionally, retrospective immunohistochemical analysis of a large patient cohort confirmed that this target is predominantly found in those patient tumors classified as exocrine-like. Hence, we hypothesized that the observed strong activation of this mechanism in the exocrine-like PDAC subtype could be responsible for the drug resistance observed in this subclass. In line with this, functional inhibition of this mechanism resulted in increased drug sensitivity in the exocrine-like subtype. Hence, our findings may ultimately advance personalized treatment by applying novel marker-based patient selection strategies in combination with tailored drug use, a strategy which will be presented in more detail at the conference. [1] Hidalgo, M. Pancreatic cancer. The New England journal of medicine. 362, 1605-1617, doi:10.1056/NEJMra0901557 (2010). [2] Vincent, A., Herman, J., Schulick, R., Hruban, R. H. & Goggins, M. Pancreatic cancer. Lancet. 378, 607-620, doi:10.1016/S0140-6736(10)62307-0 (2011). [3] Jones, S. et al. Core signalling pathways in human pancreatic cancers revealed by global genomic analyses. Science. 321, 1801-1806, doi:10.1126/science.1164368 (2008). [4] Collisson, E. A. et al. Subtypes of pancreatic ductal adenocarcinoma and their differing responses to therapy. Nature medicine. 17, 500-503, doi:10.1038/nm.2344 (2011). Citation Format: Elisa M. Noll, Christian Eisen, Elisa Espinet, Vanessa Vogel, Corinna Klein, Albrecht Stenzinger, Franziska Zickgraf, Peter Neuhaus, Marcus Bahra, Bruno V. Sinn, Christian Lutz, Michael Kulke, Andreas Pahl, Nathalia A. Giese, Oliver Strobel, Jens Werner, Wilko Weichert, Andreas Trumpp, Martin R. Sprick. A novel mechanism mediates drug resistance in the exocrine-like pancreatic ductal adenocarcinoma (PDAC) subtype. [abstract]. In: Proceedings of the AACR Special Conference on Pancreatic Cancer: Innovations in Research and Treatment; May 18-21, 2014; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2015;75(13 Suppl):Abstract nr A69.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2015
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  • 3
    In: Clinical Cancer Research, American Association for Cancer Research (AACR), Vol. 26, No. 14 ( 2020-07-15), p. 3616-3628
    Abstract: Malignant progression exhibits a tightly orchestrated balance between immune effector response and tolerance. However, underlying molecular principles that drive the establishment and maintenance of the tumor immune phenotype remain to be elucidated. Experimental Design: We trained a novel molecular classifier based on immune cell subsets related to programmed death-ligand 1 (PD-L1) and interferon γ (IFNγ) expression, which revealed distinct subgroups with higher (cluster A) or lower (subcluster B3) cytotoxic immune phenotypes. Integrative analysis of multi-omics data was conducted to identify differences in genetic and epigenetic landscapes as well as their impact on differentially expressed genes (DEG) among immune phenotypes. A prognostic gene signature for immune checkpoint inhibition (ICI) was established by a least absolute shrinkage and selection operator (LASSO)-Cox regression model. Results: Mutational landscape analyses unraveled a higher frequency of CASP8 somatic mutations in subcluster A1, while subcluster B3 exhibited a characteristic pattern of copy-number alterations affecting chemokine signaling and immune effector response. The integrative multi-omics approach identified EGFR and PTGS2 as key nodes in a gene regulatory network related to the immune phenotype, and several DEGs related to the immune phenotypes were affected by EGFR inhibition in tumor cell lines. Finally, we established a prognostic gene signature by a LASSO-Cox regression model based on DEGs between nonprogressive disease and progressive disease subgroups for ICI. Conclusions: Our data highlight a complex interplay between genetic and epigenetic events in the establishment of the tumor immune phenotype and provide compelling experimental evidence that a patient with squamous cell carcinoma of the head and neck at higher risk for ICI treatment failure might benefit from a combination with EGFR inhibition.
    Type of Medium: Online Resource
    ISSN: 1078-0432 , 1557-3265
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2020
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  • 4
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 70, No. 8_Supplement ( 2010-04-15), p. 3128-3128
    Abstract: Recently, novel small molecules targeting the mammalian target of rapamycin (mTOR) have been successfully tested for the treatment of endocrine neoplasias. Since these drugs will certainly be used as routine therapeutics in the near future, it is surprising that information on the exact expression patterns of mTOR and its downstream target 4EBP1 in endocrine tumors is still lacking. We investigated expression of mTOR and total as well as phosphorylated 4EBP4 in specimen of endocrine tumors by immunohistochemistry and correlated our findings with clinicopathologic variables and patient prognosis. We found that 61 (61.6%), 92 (92.2%), 79 (79.8%) and 69 (69.7%) out of 99 neuroendocrine foregut and midgut tumors were positive for mTOR, 4EBP1, cytoplasmic phospho-4EBP1 (p-4EBP1) and nuclear phospho-4EBP1, respectively. mTOR, 4EBP1 and p-4EBP1 (either cytoplasmic or nuclear) expression was higher in foregut tumors than in midgut tumors. Expression of mTOR was higher in foregut tumors with distant metastases (p=0.035) when compared to their locally restricted counterparts. 4EBP1 as well as p-4EBP1 (either cytoplasmic or nuclear) expression was associated with higher Ki-67 positivity and thereby proliferative activity. mTOR expression and activity as measured by phosphorylation of its downstream target 4EBP1 vary considerably in dependence of tumor location and metastatic status. We hypothesize that differences in mTOR expression patterns and/or activity might predict response to mTOR inhibitors which should be taken into account when future clinical trials with these substances are being planned. Note: This abstract was not presented at the AACR 101st Annual Meeting 2010 because the presenter was unable to attend. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 3128.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2010
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  • 5
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 75, No. 15_Supplement ( 2015-08-01), p. 630-630
    Abstract: Cancer exome sequencing including recent studies of TCGA and ICGC consortia revealed the landscapes of somatic mutations and copy number variations (CNVs) in multiple cancers. CNVs represent an important genetic change that may contribute to tumorigenesis, tumor growth and metastatic spread. HER2 amplification in breast cancer represents a paradigm of a molecular target and personalized cancer therapy. As part of the breast cancer routine diagnostics, HER2 status is determined by immunohistochemistry (IHC) and subsequent in situ hybridization (ISH) when necessary. HER2 breast cancer patients are known to benefit from blockage of HER2 signaling, for example by treatment with the therapeutic antibody trastuzumab. A large cohort of frozen breast cancer tissues (184 patients) was investigated by semiconductor sequencing. A customer-designed panel of 154 amplicons was used including regions of mutations and CNVs known to be recurrent from preceding exome-wide studies. After sample-wise normalization, a null distribution of copy numbers was estimated using outlier robust statistics and the sequencing data of all patients and amplicons. Significance of gene amplifications was assessed by comparison with the null distribution leading to cutoff values of 2.77 copies for single hypothesis testing (p & lt; 0.05) and 3.59 copies for multiple hypotheses testing (p & lt; 0.05/154). First, we evaluated the accuracy of targeted sequencing and the new algorithm compared to the gold standard of IHC and ISH. The amplicon panel included three regions of HER2 located in exons 19, 20 and 21. Based on the target region in exon 20 and the single hypothesis cutoff, we obtained a sensitivity of 83% and a specificity of 95% in the detection of HER2 amplifications. Correlations between the copy number estimated from the coverage of exon 19, 20 and 21 where high (Pearson correlation R = 0.92, 0.96 and 0.97). Second, we did an unsupervised search for gene amplifications with the 154 amplicons of the sequencing panel using the multiple testing method. We detected gene amplifications that were abundant in at least 8 patients ( & gt;5% of the cohort) in the following 17 genes: CCND1, CDH1, CDKN1B, ERBB2, FGFR1, GRB7, MDM2, MED1, MYC, PAK1, PIK3CA, PIK3R3, RB1, STARD3, TBL1XR1, TSHZ2 and ZNF703. In conclusion, the new algorithm allowed detecting of CNVs from semiconductor sequencing without the need of normal tissue controls. Thus, using targeted sequencing, CNV detection and simple somatic mutation detection can be integrated in an easy and efficient manner. Citation Format: Jan Budczies, Volker Endris, Nikola Bangemann, Thomas Wolf, Jens-Uwe Blohmer, Abrecht Stenzinger, Manfred Dietel, Wilko Weichert, Carsten Denkert. Detection of copy number variations in breast cancer using targeted sequencing without normal tissue controls. [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 630. doi:10.1158/1538-7445.AM2015-630
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2015
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  • 6
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 79, No. 13_Supplement ( 2019-07-01), p. 468-468
    Abstract: Precision oncology implies the ability to predict which patients will likely respond to specific cancer therapies based on high-resolution molecular diagnostics. The value of comprehensive molecular profiling based on whole-exome/genome sequencing (WES/WGS) and global RNA sequencing to guide therapeutic decisions in individual patients remains to be established. We report the results of MASTER (Molecularly Aided Stratification for Tumor Eradication Research), a multicenter registry trial for prospective, biology-driven stratification of younger adults with advanced-stage cancer across all histologies and patients with rare tumors conducted under the auspices of NCT Heidelberg/Dresden and the German Cancer Consortium (DKTK). Based on a standardized workflow for selection and consenting of patients, sample processing, WES/WGS and RNA sequencing, bioinformatic analysis, and technical validation of potentially actionable findings, we have analyzed more than 1300 poor-prognosis (median overall survival, 12 months) patients representing a broad spectrum of entities. Evaluation of the data by a cross-institutional molecular tumor board has allowed categorization into 7 different intervention baskets and formulation of evidence-based recommendations for clinical management in more than 80% of patients, which were implemented in approximately one third of cases. Overall response and disease control rates on molecularly guided treatment were significantly improved compared to prior systemic therapies, which translated into a progression-free survival (PFS) ratio of greater than 1.3 in more than 40% of cases. In 5% of patients, comprehensive genomic profiling allowed to refine the clinical diagnosis, as exemplified by several soft-tissue sarcomas not otherwise specified and carcinomas of unknown primary site that could be categorized based on their genotypes and subsequent histopathologic re-evaluation. Finally, systematic analysis of germline alterations revealed that 11% of patients had pathogenic (ACMG Class 4 or 5) variants in known tumor predisposition genes, and that 4% were carriers for autosomal recessive disorders. This prospective trial demonstrates that molecular profiling based on WES/WGS and RNA sequencing in a multi-institutional clinical setting is feasible, complements and advances routine molecular diagnostics, and creates clinically meaningful therapeutic opportunities in a significant proportion of patients. To improve clinical translation, the MASTER platform is now linked to a growing portfolio of cross-institutional basket trials. In the intermediate term, genomic profiling within MASTER will be integrated with additional layers of patient characterization and extended to additional treatment modalities (e.g. radiotherapy and surgical interventions). Citation Format: Peter Horak, Christoph Heining, Simon Kreutzfeldt, Christoph E. Heilig, Lino Möhrmann, Laura Gieldon, Martina Fröhlich, Sebastian Uhrig, Daniel Hübschmann, Katja Beck, Daniela Richter, Stephan Wolf, Katrin Pfütze, Christina Geörg, Bettina Meißburger, Frederick Klauschen, Sebastian Ochsenreither, Gunnar Folprecht, Jens Siveke, Sebastian Bauer, Thomas Kindler, Christian Brandts, Melanie Börries, Nikolas von Bubnoff, Karsten Spiekermann, Philipp J. Jost, Klaus Schulze-Osthoff, Michael Bitzer, Peter Schirmacher, Christof von Kalle, Richard Schlenk, Barbara Klink, Barbara Hutter, Wilko Weichert, Albrecht Stenzinger, Evelin Schröck, Benedikt Brors, Hanno Glimm, Stefan Fröhling. Clinical relevance of comprehensive genomic analysis in advanced-stage cancers and rare malignancies: Results from the MASTER trial of the German Cancer Consortium [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 468.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2019
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  • 7
    In: Clinical Cancer Research, American Association for Cancer Research (AACR), Vol. 14, No. 6 ( 2008-03-15), p. 1669-1677
    Abstract: Purpose: Recently, several studies reported a strong functional link between histone deacetylases (HDAC) and the development of tumors of the large intestine. However, despite the importance of these molecules, comparably little is known on expression patterns and functions of specific HDAC isoforms in colorectal cancer. Experimental Design: We characterized class I HDAC isoform expression patterns in a cohort of 140 colorectal carcinomas by immunohistochemistry. In addition, effects of HDAC inhibition by valproic acid and suberoylanilide hydroxamic acid, and specific HDAC isoform knockdown by short interfering RNA, were investigated in a cell culture model. Results: We found class I HDACs highly expressed in a subset of colorectal carcinomas with positivity for HDAC1 in 36.4%, HDAC2 in 57.9%, and HDAC3 in 72.9% of cases. Expression was significantly enhanced in strongly proliferating (P = 0.002), dedifferentiated (P = 0.022) tumors. High HDAC expression levels implicated significantly reduced patient survival (P = 0.001), with HDAC2 expression being an independent survival prognosticator (hazard ratio, 2.6; P = 0.03). Short interfering RNA–based inhibition of HDAC1 and HDAC2 but not HDAC3 suppressed growth of colon cancer cells in vitro, although to a lesser extent than chemical HDAC inhibitors did. Conclusions: The strong prognostic impact of HDAC isoforms in colorectal cancer, the interactions of HDACs with tumor cell proliferation and differentiation in vivo, and our finding that HDACs are differentially expressed in colorectal tumors suggest that the evaluation of HDAC expression in clinical trials for HDAC inhibitors might help to identify a patient subgroup who will exceptionally profit from such a treatment.
    Type of Medium: Online Resource
    ISSN: 1078-0432 , 1557-3265
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2008
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  • 8
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 76, No. 14_Supplement ( 2016-07-15), p. 2283-2283
    Abstract: Multiple myeloma (MM) is an incurable plasma cell malignancy. Recent studies have identified a dominant mutation cluster in RAS/BRAF genes, highlighting the MEK/ERK signaling pathway as a potentially promising therapeutic target. However, treatment of RAS/RAF mutant MM with the MEK inhibitor, trametinib, resulted in moderate response rates. There were, however, durable remissions in those patients (pts) who responded. This suggests a variable degree of dependency on MEK/ERK signaling in RAS/RAF mutant MM. To address this issue, we correlated RAS/RAF mutations with the RAF/MEK/ERK cascade activation in primary MM patient biopsies. Primary material consisted of bone marrow or soft tissue biopsies from 179 pts, including 102 pts with newly diagnosed myeloma (NDMM) and 77 pts with relapsed/refractory myeloma (rrMM). Activation of the RAF/MEK/ERK cascade was assessed using an immunohistochemical (IHC) assay for phospho-ERK. In parallel, KRAS, NRAS, HRAS and BRAF mutation status was assessed by targeted re-sequencing using the Ion Torrent NGS technology. The mutation frequencies found were KRAS (25%), NRAS (24%), and BRAF (8%) while no HRAS was detected, consistent with previous studies. Overall, RAS/RAF mutations were significantly more frequent in rrMM (p = 0.010), mainly driven by an increase in NRAS mutations (p = 0.017), proving the importance of RAS/RAF-mediated signaling in MM and indicating a potential role for NRAS mutations in drug resistance development. The top nine recurrently detected individual mutations were KRAS Q61H (n = 11), NRAS Q61R (11), NRAS Q61K (10), KRAS G12D/G12V (6 each), BRAF V600E (6), NRAS G13D (5), NRAS G13R/Q61H (4 each). When correlated with ERK activation status, KRAS but not NRAS mutations were associated with pathway activation compared to RAS/RAF-wild type (wt) (p = 0.003). However, these were not mutually exclusive, suggesting that ERK activation is dependent on the type of mutation rather than the fact that the RAS/RAF gene is mutated. Therefore, each recurrent RAS/RAF mutation was tested against all RAS/RAF-wt samples: Only KRAS G12D and BRAF V600E were consistently associated with ERK activation (p & lt; 0.001 each). In summary, we found that RAS/RAF mutations are not generally associated with RAF/MEK/ERK pathway activation in MM. However, we did identify specific amino acid changes in KRAS and BRAF which are more likely to be associated with pathway activation and two mutations which were consistently associated with MEK/ERK signaling. These findings indicate that confirmation of protein-level pathway activation is needed when considering targeted therapy. In this regard, IHC is a cost-effective and reliable method to assess pathway activation and should therefore be considered in future. The clinical relevance of RAS/RAF mutations in MM should be further elucidated in prospective cohort studies. Citation Format: Jing Xu, Nicole Pfarr, Volker Endris, Elias K. Mai, Nur Hafzan Md Hanafiah, Nicola Lehners, Roland Penzel, Wilko Weichert, Anthony D. Ho, Peter Schirmacher, Hartmut Goldschmidt, Mindaugas Andrulis, Marc S. Raab. Molecular signaling in multiple myeloma: association of RAS/RAF mutation status and MAPK pathway activation in primary myeloma patient biopsies. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 2283.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2016
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  • 9
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 79, No. 13_Supplement ( 2019-07-01), p. 2723-2723
    Abstract: Chordomas are rare tumors of the axial skeleton and skull base with few therapeutic options and no clinically validated molecular drug targets. The value of comprehensive genomic analyses for guiding medical therapy of patients with advanced-stage chordoma is unknown. We performed whole-exome and genome sequencing of tumor and matched germline control samples from 11 patients with locally advanced or metastatic chordoma within the MASTER program, a prospective clinical sequencing program of the German Cancer Consortium. All patients were pretreated and had progressive disease prior to molecular analysis. Genomic profiling showed that advanced chordomas are frequently characterized by genomic patterns indicative of defective homologous recombination (HR) DNA repair. First, DNA copy number profiles showed high numbers of structural variants greater than 10 million base pairs in size in the majority of cases. Second, all patients harbored somatic aberrations of at least 2 genes known to be involved in HR, and 10/11 cases harbored somatic alterations in 3 or more HR pathway genes. For example, 8 patients showed heterozygous BRCA2 deletions, which were associated with heterozygous deletions of ERCC6 in 6 patients and RAD54L in 7 patients, as well as PTEN alterations (heterozygous deletion, heterozygous mutation and deletion of the wildtype allele or loss of heterozygosity). Other recurrently altered HR genes included ATR, CHEK2, FANCC, FANCD2, FANCG, RAD18, RAD51B, and XRCC3. Third, pathogenic germline alterations were detected in 3 patients. A heterozygous BRCA2 frameshift mutation (p.T3085fs*26; ACMG Class 5), a heterozygous NBN frameshift mutation (p.K219Nfs*16; ACMG Class 5), and a heterozygous CHEK2 missense mutation (p.R145W; ACMG Class 4) were accompanied by somatic deletion of the respective wildtype alleles. Fourth, a mutational signature associated with HR deficiency was significantly enriched in 72.7% of samples and coincided with genomic instability. The high prevalence of an HR deficiency “footprint” in chordoma patients prompted us to explore the clinical efficacy of the poly(ADP-ribose) polymerase(PARP) inhibitor olaparib, which is preferentially toxic to HR-incompetent cells. Olaparib treatment of a patient whose tumor showed a prominent exposure to an HR deficiency-associated mutational signature, a high degree of genomic instability, and 13 heterozygous HR gene alterations halted tumor growth for 10 months. Whole-genome analysis at progression revealed a PARP1 p.T910A mutation predicted to disrupt the autoinhibitory PARP1 helical domain, providing novel insight into the mechanisms of PARP inhibitor resistance. In summary, our study has uncovered a key biological feature of advanced chordoma that represents an immediately actionable therapeutic target and provides a rationale for genomics-guided clinical trials of PARP inhibition in this intractable tumor entity. Citation Format: Stefan Gröschel, Daniel Hübschmann, Francesco Raimondi, Peter Horak, Gregor Warsow, Martina Fröhlich, Barbara Klink, Laura Gieldon, Barbara Hutter, Kortine Kleinhenz, David Bonekamp, Oliver Marschal, Priya Chudasama, Jagoda Mika, Marie Groth, Sebastian Uhrig, Stephen Krämer, Christoph Heining, Christoph Heilig, Daniela Richter, Eva Reisinger, Katrin Pfütze, Roland Eils, Stephan Wolf, Christof von Kalle, Christian Brandts, Claudia Scholl, Wilko Weichert, Stephan Richter, Sebastian Bauer, Roland Penzel, Evelin Schröck, Albrecht Stenzinger, Richard Schlenk, Benedikt Brors, Robert Russell, Hanno Glimm, Matthias Schlesner, Stefan Fröhling. Defective homologous recombination DNA repair as therapeutic target in advanced chordoma [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 2723.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2019
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  • 10
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 66, No. 22 ( 2006-11-15), p. 10795-10804
    Abstract: Metabolites are the end products of cellular regulatory processes, and their levels can be regarded as the ultimate response of biological systems to genetic or environmental changes. We have used a metabolite profiling approach to test the hypothesis that quantitative signatures of primary metabolites can be used to characterize molecular changes in ovarian tumor tissues. Sixty-six invasive ovarian carcinomas and nine borderline tumors of the ovary were analyzed by gas chromatography/time-of-flight mass spectrometry (GC-TOF MS) using a novel contamination-free injector system. After automated mass spectral deconvolution, 291 metabolites were detected, of which 114 (39.1%) were annotated as known compounds. By t test statistics with P & lt; 0.01, 51 metabolites were significantly different between borderline tumors and carcinomas, with a false discovery rate of 7.8%, estimated with repeated permutation analysis. Principal component analysis (PCA) revealed four principal components that were significantly different between both groups, with the highest significance found for the second component (P = 0.00000009). PCA as well as additional supervised predictive models allowed a separation of 88% of the borderline tumors from the carcinomas. Our study shows for the first time that large-scale metabolic profiling using GC-TOF MS is suitable for analysis of fresh frozen human tumor samples, and that there is a consistent and significant change in primary metabolism of ovarian tumors, which can be detected using multivariate statistical approaches. We conclude that metabolomics is a promising high-throughput, automated approach in addition to functional genomics and proteomics for analyses of molecular changes in malignant tumors. (Cancer Res 2006; 66(22): 10795-804)
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2006
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