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  • American Association for Cancer Research (AACR)  (173)
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  • American Association for Cancer Research (AACR)  (173)
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  • 1
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 72, No. 8_Supplement ( 2012-04-15), p. 1432-1432
    Abstract: Brain tumors are the most common cause of cancer-related death in childhood. Ependymomas, are the third most common pediatric brain tumor. The disease remains incurable for about 45% of patients even after gross total resection and radiotherapy. Despite showing a very homogeneous histological picture, ependymomas display distinct molecular behavior, which supports the existence of several independent entities of the disease. We examined two non-overlapping cohorts of 102 and 75 ependymomas by mRNA expression profiling, on two different array platforms (Affymetrix, Agilent). When performing multiple statistical clustering methods (unsupervised consensus NMF and consensus HCL), we could consistently identify three major clusters, including two subgroups of posterior fossa (PF) ependymoma, a variant common in children and associated with heterogeneous clinical outcome. Subgroup-specific chromosome aberrations of PF tumors were detected by aCGH, and biological signaling pathways distinguishing PF subgroups were identified by gene set enrichment analysis and visualized in Cytoscape. We validated the most significantly classifying markers of each subgroup by immunohistochemistry on a tissue microarray containing an independent set of 265 PF ependymomas. Our findings delineate two subgroups of PF ependymoma (groups A and B) which are demographically, transcriptionally, genetically, and clinically distinct. Group A patients are younger, have laterally located tumors with a balanced genome, more frequently develop secondary metastases and are much more likely to have an extremely poor outcome as compared with group B patients. Based on a multi-variate Cox proportional-hazards model, our identified markers have the strongest independent prognostic value among demographic and molecular variables with Hazard ratios of 8.45 (PFS) and 10.55 (OS). Prognostic significance and predictive impact is being validated in the GPOH HIT2000 Ependymoma study. The identification of two distinct subgroups of PF ependymoma, and markers applicable for their clinical distinction, will allow for better prognostication of individual cases, independent of age, level of resection and WHO grade, and also for stratification in future ependymoma clinical trials. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 1432. doi:1538-7445.AM2012-1432
    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: 2012
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  • 2
    In: Cancer Discovery, American Association for Cancer Research (AACR), Vol. 11, No. 11 ( 2021-11-01), p. 2780-2795
    Abstract: The clinical relevance of comprehensive molecular analysis in rare cancers is not established. We analyzed the molecular profiles and clinical outcomes of 1,310 patients (rare cancers, 75.5%) enrolled in a prospective observational study by the German Cancer Consortium that applies whole-genome/exome and RNA sequencing to inform the care of adults with incurable cancers. On the basis of 472 single and six composite biomarkers, a cross-institutional molecular tumor board provided evidence-based management recommendations, including diagnostic reevaluation, genetic counseling, and experimental treatment, in 88% of cases. Recommended therapies were administered in 362 of 1,138 patients (31.8%) and resulted in significantly improved overall response and disease control rates (23.9% and 55.3%) compared with previous therapies, translating into a progression-free survival ratio & gt;1.3 in 35.7% of patients. These data demonstrate the benefit of molecular stratification in rare cancers and represent a resource that may promote clinical trial access and drug approvals in this underserved patient population. Significance: Rare cancers are difficult to treat; in particular, molecular pathogenesis–oriented medical therapies are often lacking. This study shows that whole-genome/exome and RNA sequencing enables molecularly informed treatments that lead to clinical benefit in a substantial proportion of patients with advanced rare cancers and paves the way for future clinical trials. See related commentary by Eggermont et al., p. 2677. This article is highlighted in the In This Issue feature, p. 2659
    Type of Medium: Online Resource
    ISSN: 2159-8274 , 2159-8290
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2021
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  • 3
    In: Clinical Cancer Research, American Association for Cancer Research (AACR), ( 2023-09-26), p. OF1-OF11
    Abstract: The optimal application of maintenance PARP inhibitor therapy for ovarian cancer requires accessible, robust, and rapid testing of homologous recombination deficiency (HRD). However, in many countries, access to HRD testing is problematic and the failure rate is high. We developed an academic HRD test to support treatment decision-making. Patients and Methods: Genomic Instability Scar (GIScar) was developed through targeted sequencing of a 127-gene panel to determine HRD status. GIScar was trained from a noninterventional study with 250 prospectively collected ovarian tumor samples. GIScar was validated on 469 DNA tumor samples from the PAOLA-1 trial evaluating maintenance olaparib for newly diagnosed ovarian cancer, and its predictive value was compared with Myriad Genetics MyChoice (MGMC). Results: GIScar showed significant correlation with MGMC HRD classification (kappa statistics: 0.780). From PAOLA-1 samples, more HRD-positive tumors were identified by GIScar (258) than MGMC (242), with a lower proportion of inconclusive results (1% vs. 9%, respectively). The HRs for progression-free survival (PFS) with olaparib versus placebo were 0.45 [95% confidence interval (CI), 0.33–0.62] in GIScar-identified HRD-positive BRCA-mutated tumors, 0.50 (95% CI, 0.31–0.80) in HRD-positive BRCA-wild-type tumors, and 1.02 (95% CI, 0.74–1.40) in HRD-negative tumors. Tumors identified as HRD positive by GIScar but HRD negative by MGMC had better PFS with olaparib (HR, 0.23; 95% CI, 0.07–0.72). Conclusions: GIScar is a valuable diagnostic tool, reliably detecting HRD and predicting sensitivity to olaparib for ovarian cancer. GIScar showed high analytic concordance with MGMC test and fewer inconclusive results. GIScar is easily implemented into diagnostic laboratories with a rapid turnaround.
    Type of Medium: Online Resource
    ISSN: 1078-0432 , 1557-3265
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2023
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  • 4
    In: Clinical Cancer Research, American Association for Cancer Research (AACR), Vol. 28, No. 2 ( 2022-01-15), p. 378-389
    Abstract: Gliomas are intrinsic brain tumors with a high degree of constitutive and acquired resistance to standard therapeutic modalities such as radiotherapy and alkylating chemotherapy. Glioma subtypes are recognized by characteristic mutations. Some of these characteristic mutations have shown to generate immunogenic neoepitopes suitable for targeted immunotherapy. Experimental Design: Using peptide-based ELISpot assays, we screened for potential recurrent glioma neoepitopes in MHC-humanized mice. Following vaccination, droplet-based single-cell T-cell receptor (TCR) sequencing from established T-cell lines was applied for neoepitope-specific TCR discovery. Efficacy of intraventricular TCR-transgenic T-cell therapy was assessed in a newly developed glioma model in MHC-humanized mice induced by CRISPR-based delivery of tumor suppressor–targeting guide RNAs. Results: We identify recurrent capicua transcriptional repressor (CIC) inactivating hotspot mutations at position 215 CICR215W/Q as immunogenic MHC class II (MHCII)-restricted neoepitopes. Vaccination of MHC-humanized mice resulted in the generation of robust MHCII-restricted mutation-specific T-cell responses against CICR215W/Q. Adoptive intraventricular transfer of CICR215W-specific TCR-transgenic T cells exert antitumor responses against CICR215W-expressing syngeneic gliomas. Conclusions: The integration of immunocompetent MHC-humanized orthotopic glioma models in the discovery of shared immunogenic glioma neoepitopes facilitates the identification and preclinical testing of human leukocyte antigen (HLA)-restricted neoepitope-specific TCRs for locoregional TCR-transgenic T-cell adoptive therapy.
    Type of Medium: Online Resource
    ISSN: 1078-0432 , 1557-3265
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2022
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  • 5
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 77, No. 13_Supplement ( 2017-07-01), p. LB-287-LB-287
    Abstract: The MASTER (Molecularly Aided Stratification for Tumor Eradication Research) Program of the NCT (National Center for Tumor Diseases) Heidelberg and the DKTK (German Cancer Consortium) is situated at the interface of cancer genomics and clinical oncology to provide whole exome/genome and transcriptome sequencing to selected patients with unmet medical need, and to evaluate the utility of such an approach regarding molecular stratification and individualized, biology-guided treatment. The program has enabled implementation of a shared, DKTK-wide workflow for rapid-turnaround clinical sequencing, comprising all steps from sample processing to reporting of results by a dedicated molecular tumor board. In clinical cancer genome sequencing programs, bioinformatics pipelines normally exclude germline variants detected in matched normal tissues to select for somatic mutations. However, in younger cancer patients (less than 51 years of age) and/or patients with rare cancer entities, which are eligible for analysis within MASTER, we anticipated an enrichment of patients with a possible hereditary background. If germline variants would be excluded in such cases a priori, relevant pathogenic mutations responsible for cancer development might be missed. Importantly, such mutations could also be therapeutically relevant. This applies in particular to tumors with mutations in genes involved in DNA damage response signaling, e.g. BRCA1/2, PALB2, ATM, and others, which respond to treatment with PARP inhibitors and platinum-based chemotherapy. Furthermore, germline mutations in these genes are responsible for hereditary breast and ovarian cancer and more than 120 tumor predisposition syndromes (TPS) known to date. Therefore analysis of germline variants of all known hereditary cancer genes was included as part of the NCT/DKTK MASTER workflow since 2015. A board-certified clinical geneticists experienced in evaluating rare private germline variants performed data interpretation. Recommendations were provided to the clinical oncologists for referral of patients to a TPS center for genetic counseling, further diagnostics, surveillance, and tumor prevention measures. We here present results from 321 NCT/DKTK MASTER patients analyzed thus far. Previously unknown pathogenic germline variants in 22 different tumor susceptibility genes, such as BRCA1/2, PALB2, ATM, NF1, MEN1, RB1, APC, SDHB, CDH1, and others, were detected in 36 patients (11%) with various cancers. We thus demonstrate the importance of evaluating germline variants obtained by “omics”-based molecular diagnostic approaches under clinical conditions. Furthermore, our results not only had implications for further surveillance of patients and their families, but also contributed to clinically “actionable” treatment recommendations. Citation Format: Evelin Schrock, Barbara Hutter, Martina Fröhlich, Falk Zakrzewski, Sebastian Uhrig, Andreas Rump, Karl Hackmann, Joseph Porrmann, Laura Gieldon, Daniela Richter, Albrecht Stenzinger, Thomas Kindler, Wilko Weichert, Philipp J. Jost, Christian Brandts, Klaus Schulze-Osthoff, Johanna Falkenhorst, Sebastian Bauer, Frederick Klauschen, Konrad Klinghammer, Gunnar Folprecht, Martin Wermke, Karsten Spiekermann, Benedikt Brors, Stefan Gröschel, Christoph Heining, Peter Horak, Hanno Glimm, Stefan Fröhling, Barbara Klink. Identification of patients at risk for tumor predisposition syndromes based on the evaluation of sporadic cancer exome sequencing data: experiences from the NCT/DKTK MASTER program [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr LB-287. doi:10.1158/1538-7445.AM2017-LB-287
    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: 2017
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  • 6
    Online Resource
    Online Resource
    American Association for Cancer Research (AACR) ; 2015
    In:  Cancer Research Vol. 75, No. 15_Supplement ( 2015-08-01), p. 1455-1455
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 75, No. 15_Supplement ( 2015-08-01), p. 1455-1455
    Abstract: Human tumor xenografts represent the gold standard method for research areas such as drug discovery, cancer stem cell biology, and metastasis prediction. When compared to in vitro cell culture models, human tumor xenografts show a higher validity for most assays (DeRose et al., 2011). During the growth phase in vivo, xenografted tissue is vascularized and infiltrated by cells of murine origin. The level of infiltration is highly dependent on multiple factors like tumor subtype, growth rate, and region of transplantation. However, even when these factors are kept constant, the amount and composition of infiltrating mouse cells is highly variable. Due to this, molecular downstream analyses such as microarray based expression profiling are challenged by cross hybridization of mouse derived molecules to human probes. In addition, a reduction of sensitivity caused by measuring mouse signals during next-generation sequencing analysis can be expected. To overcome these limitations, we have developed a fast and easy method allowing for the comprehensive depletion of all cells of mouse origin by using automated tissue dissociation and magnetic cell sorting (MACS). We have performed whole exome sequencing of bulk human tumor xenografts from lung, bladder, and kidney cancer, and compared the results to samples depleted of mouse cells. A significant increase (p & lt; 0.05) in cluster density as well as an average increase in read counts of 33% was observed for the mouse cell depleted samples, indicating improved sample quality. Indeed, we observed a strong reduction of debris and dead cells upon the depletion procedure. We mapped the reads of all samples against human and mouse genomes and determined their putative origin. An average of 12% of reads derived from non-depleted samples was assigned to mouse cells. This amount could be reduced to 0.28% by prior depletion of mouse cells. As 15% of the mouse-derived reads mapped erroneously to human genome (1.9% of total reads) in the non-depleted samples, a strong positive influence of mouse cell depletion (0.04% of total reads) on downstream analyses can be expected. The number of predicted SNPs was 2-fold higher in the non-depleted samples and 56% of SNPs identified in the non-depleted samples were not present anymore after depletion of mouse cells. Furthermore, the increase in coverage from 39-fold (non-depleted) to 56-fold (depleted) resulted in a higher sensitivity of relevant SNP detection after mouse cell depletion. 16% of SNPs identified in the depleted samples were exclusively found in these samples. Taken together, removal of mouse cells significantly improves the analysis of human tumor xenografts by next generation sequencing. As this effect was observed although a human sequence specific selection has been carried out during exome enrichment, the influence on whole exome and whole transcriptome sequencing are expected to be even more prominent. Citation Format: David Agorku, Stefan Tomiuk, Kerstin Klingner, Stefan Wild, Silvia Rüberg, Lisa Zatrieb, Andreas Bosio, Julia Schueler, Olaf Hardt. Next generation sequencing of human tumor xenografts is significantly improved by prior depletion of mouse cells. [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 1455. doi:10.1158/1538-7445.AM2015-1455
    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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  • 7
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 77, No. 13_Supplement ( 2017-07-01), p. 509-509
    Abstract: Recent developments in sequencing technologies lead to the discovery of a novel form of genome instability, termed chromothripsis. This catastrophic genomic event, involved in cancer formation, is characterized by tens to hundreds of locally clustered rearrangements on one chromosome, acquired simultaneously. We hypothesized that leukemias developing in individuals with Ataxia Telangiectasia, who are born with two mutated copies of the ATM gene, essential guardian of genome stability, would show a higher prevalence for chromothripsis due to the defect in DNA double-strand break repair. Using whole-genome sequencing, fluorescence in situ hybridization and RNA sequencing, we characterized the genomic landscape of Acute Lymphoblastic Leukemia (ALL) in patients with Ataxia Telangiectasia. We detected a high frequency of chromothriptic events in these tumors, specifically on acrocentric chromosomes, as compared to tumors from individuals with other types of DNA repair syndromes (27 cases in total, of which 10 with Ataxia Telangiectasia). Our data show that the genomic landscape of Ataxia Telangiectasia ALL is clearly distinct from that of sporadic ALL. Mechanistically, short telomeres and compromised DNA damage response in cells of Ataxia Telangiectasia patients are linked with frequent chromotripsis. Additionally, we show that ATM loss is associated with increased chromothripsis prevalence in further tumor entities. Citation Format: Manasi Ratnaparkhe, Mario Hlevnjak, Thorsten Kolb, Anna Jauch, Kendra Maass, Frauke Devens, Agata Rode, Volker Hovestadt, Andrey Korshunov, Agata Pastorczak, Wojciech Mlynarski, Stephanie Sungalee, Jan Korbel, Jessica Hoell, Ute Fischer, Till Milde, Christof Kramm, Michaela Nathrath, Krystyna Chrzanowska, Eugen Tausch, Masatoshi Takagi, Takashi Taga, Shlomi Constantini, Jan Loeffen, Jules Meijerink, Stefan Zielen, Gudrun Goehring, Brigitte Schlegelberger, Eberhard Maass, Reiner Siebert, Joachim Kunz, Andreas Kulozik, Barbara Worst, David Jones, Stefan Pfister, Marc Zapatka, Peter Lichter, Aurelie Ernst. Genomic profiling of acute lymphoblastic leukemia in ataxia telangiectasia patients reveals tight link between ATM mutations and chromothripsis [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 509. doi:10.1158/1538-7445.AM2017-509
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2017
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  • 8
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 76, No. 14_Supplement ( 2016-07-15), p. 174-174
    Abstract: Solid tumors are infiltrated by cells of non-tumor origin, including heterogeneous lymphocyte subpopulations, fibroblasts, and endothelial cells. The amount and composition of infiltrating cells is highly variable and patient dependent, which makes analyses of primary tumor samples difficult. The contaminating cells lead to hybridization of non-tumor cell derived mRNA molecules to probes on microarrays and a significant reduction of sensitivity caused by measurement of irrelevant signals during next-generation sequencing or proteome analysis can be expected. In addition, the culture of human tumor cells is frequently hampered by fibroblasts overgrowing the target cells, which bias assays such as drug sensitivity tests. To overcome these limitations, we have developed a fast and easy method to isolate untouched human tumor cells from primary tissue. This procedure is based on the comprehensive depletion of cells of non-tumor origin by combining automated tissue dissociation and magnetic cell sorting (MACS). A negative selection strategy enables the isolation of the tumor cell population without knowledge of surface protein expression on these cells. Even tissues that initially contain low numbers of tumor cells ( & lt; 20%) reach purities of higher than 95% in less than 20 minutes. Here, we have applied this method to isolate human tumor cells from primary and metastatic ovarian carcinoma and thymoma specimens. The purified human ovarian carcinoma tumor cell fraction was further used for the isolation of CD133+ cancer stem cells. Cultivation of human tumor cells was more consistent with prior removal of contaminating stromal cells than without. Whole genome expression profiling of bulk human tumor tissue and matched purified tumor cells showed a significant reduction in stroma specific gene expression signatures while tumor specific signatures were enriched. Moreover, the comparison of expression profiles of isolated cancer stem cells to their parent population of purified tumor cells indicate that different tumor cell subpopulations could be characterized more precisely than if the unpurified fraction was used as reference. This suggests a reduced risk of misinterpretation when only purified tumor cells are evaluated or used as a control for smaller subpopulations. Whole exome sequencing of the same samples further verified the benefit of tumor cell purification from stromal contamination. The sequence read heterogeneity was dramatically reduced in the purified samples. The reduction of non-tumor cell derived DNA, therefore, led to the detection of a higher number of tumor specific SNPs and INDELS, and consequently in a higher confidence in the results, in particular for mutations only present in a subset of tumor cells. Taken together, removal of non-tumor cells strongly improves their subsequent culture and molecular analysis of primary human tumor tissue. Citation Format: Lena Willnow, Stefan Tomiuk, Jutta Kollet, Stefan Wild, Silvia Rüberg, Claudius Fridrich, Peter Mallmann, Frauke Alves, Philipp Ströbel, Dominik Eckardt, Andreas Bosio, Olaf Hardt. Isolation of primary human tumor cells significantly reduces bias in molecular analysis and improves culture of target cells. [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 174.
    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
    Online Resource
    Online Resource
    American Association for Cancer Research (AACR) ; 2018
    In:  Cancer Research Vol. 78, No. 13_Supplement ( 2018-07-01), p. 1906-1906
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 78, No. 13_Supplement ( 2018-07-01), p. 1906-1906
    Abstract: Glioblastoma is one of the most aggressive primary brain tumors in adults, with a dismal median overall survival of only 14 months after diagnosis. Glioblastoma stem-like cells (GSCs) are particularly resistant to current therapies, capable of self-renewal and tumour initiation and are hence thought to be major contributors to patient relapse. A kinome and phosphatome wide screen revealed glycolysis gene 6-Phosphofructo-2-Kinase/Fructose-2,6-Biphosphatase 4 (PFKFB4) as an important candidate gene for GSC survival. Notably, silencing PFKFB4 in an orthotopic xenograft mouse model of glioblastoma completely rid the mice of the tumor. Here we show a brand new function of PFKFB4, independent of its role in glycolysis - namely in the regulation of HIF1α, which is upregulated in GSCs. Gene expression profiling revealed a downregulation in HIF1α target genes in PFKFB4-silenced GSCs, and HIF1α protein levels are also dramatically reduced upon silencing. Mass spectrometric analysis of immunoprecipitated PFKFB4 protein revealed a novel interaction partner, F-box only protein 28 (FBXO28), an E3 ubiqutin ligase. Co-immunoprecipation assays show that FBXO28 forms an SCF multi-protein ubiquitin ligase complex with CUL1 and SKP1. Ubiquitylation studies of HIF1α show that PFKFB4 stabilizes this crucial protein in GSCs by preventing its targeting by FBXO28 for proteasomal degradation. These new findings, coupled with its cancer specific expression in a variety of tumor entities, makes PFKFB4 a compelling target. Citation Format: Emma L. Phillips, Frederic Bethke, Jörg Balss, Stefan Pusch, Stefan Christen, Martina Schnölzer, Antje Habel, David Capper, Andreas Von Deimling, Sarah-Maria Fendt, Peter Lichter, Violaine Goidts. PFKFB4, much more than just a glycolytic gene [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 1906.
    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: 2018
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  • 10
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 80, No. 20 ( 2020-10-15), p. 4414-4425
    Abstract: The respective antitumoral and protumoral roles of M1 and M2 tumor-associated macrophages (TAM) typify the complexity of macrophage function in cancer. In lung cancer, density and topology of distinct TAM phenotypes at the tumor center (TC) versus the invasive margin (IM) are largely unknown. Here, we investigated TAM subtype density and distribution between TC and IM in human lung cancer and TAM associations with overall survival. Macrophages isolated from adjacent nontumor tissue (NM), the TC (TC-TAM), and the IM (IM-TAM) were analyzed with RNA-sequencing (RNA-seq). Lung tumor tissue microarrays from 104 patient samples were constructed. M1 and M2 TAMs were identified using multiplex immunofluorescence staining and a tumor cell-TAM proximity analysis was performed. RNA-seq identified marked differences among NM, TC-TAM, and IM-TAM. On the basis of a panel of five selected markers (CD68, IL12, CCR7, CD163, and ALOX15), M2 predominance over M1 and M2 proximity to tumor cells was observed, especially at IM. Tumor cell proximity to TAM was linked with tumor cell survival and hypoxia was associated with accumulation of M2 TAM. Notably, lower density of M1 TC-TAM and higher proximity of tumor cells to M2 IM-TAM or lower proximity to M1 IM-TAM were linked with poor survival. In addition, three novel molecules (UBXN4, MFSD12, and ACTR6) from RNA-seq served as potential prognostic markers for lung cancer, and M2 predominance and juxtaposition of M2 TAM near tumor cells were associated with poor survival. Together, our results reveal the marked heterogeneity of TAM populations in different tumor regions, with M2 TAM predominance, particularly at IM. Significance: This study underlines the significance of the density, spatial distribution, and gene expression of TAM phenotypes as prognostic factors for overall survival in lung cancer.
    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: 2020
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