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  • American Association for Cancer Research (AACR)  (21)
  • 1
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 82, No. 12_Supplement ( 2022-06-15), p. 468-468
    Abstract: Many targeted cancer therapies rely on biomarkers, which are assessed by standard pathologist scoring of immunohistochemically stained tissue. However, this process is subjective, semi-quantitative and does not assess expression heterogeneity. A quantitative method to measure IHC markers might therefore significantly improve patient selection particularly of proteins expressed at low levels. To address these challenges, we have developed the Quantitative Continuous Scoring (QCS) that deploys the power of fully supervised Deep Learning (DL) algorithms to provide objective and continuous data of biomarkers in digitized IHC whole slide images (WSI). The two DL-based algorithms, developed using pathologist input as the ground truth, identify areas of invasive tumor and segment each individual tumor cell across the WSI into pixels that represent cell nuclei, cytoplasm and/or membrane. This allows to compute biomarker expression as mean Optical Density (OD) in each of these subcellular compartments based on the Hue-Saturation-Density (HSD) model. Of note, this also allows computation of the spatial distribution of tumor cells across the WSI. The measured OD for each cell is aggregated as a histogram to quantitative continuous readouts for each patient sample. The method’s ability to accurately detect low expression range facilitates selection of antibody clones for IHC assays, has been successfully used to delineate mode of action and PK/PD mechanisms, has provided surrogate markers of spatial expression heterogeneity to predict potential bystander activity and has facilitated marker co-expression analysis to inform rational combination therapies. In retrospective clinical trials analysis, QCS showed superior performance in identifying a patient population gaining maximum treatment benefit. QCS-based quantification of PD-L1 membrane expression was able to stratify anti-PD-L1 treated late-stage non-small cell lung cancer (NSCLC) patients [NCT01693562] with a higher prevalence and more significant log rank p-value (64%, p=0.0001) for OS compared to pathologist TPS (59%, p=0.01). In summary, we describe a computational pathology-based approach for precise biomarker quantification and superior patient selection with broad applicability and the potential to transform pathology, thus addressing one of the key challenges of precision oncology. Citation Format: Hadassah Sade, Ansh Kapil, Philipp Wortmann, Andreas Spitzmueller, Nicolas Triltsch, Lina Meinecke, Susanne Haneder, Anatoliy Shumilov, Jan Lesniak, Valeria Bertani, Tze-Heng Tan, Ana Hidalgo-Sastre, Simon Christ, Andrea Storti, Regina Alleze, Dasa Medrikova, Jessica Chan, Simon Lanzmich, Markus Schick, Guenter Schmidt, J. Carl Barrett. Quantitative assessment of IHC using computational pathology allows superior patient selection for biomarker-informed patients [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 468.
    Type of Medium: Online Resource
    ISSN: 1538-7445
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2022
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  • 2
    In: Clinical Cancer Research, American Association for Cancer Research (AACR), Vol. 14, No. 23 ( 2008-12-01), p. 7838-7842
    Abstract: Purpose: Neutral endopeptidase (CD10), an ectopeptidase bound to the cell surface, is thought to be a potential prognostic marker for prostate cancer. Experimental Design: Prostate cancer patients (N = 3,261) treated by radical prostatectomy at a single institution were evaluated by using tissue microarray. Follow-up data were available for 2,385 patients. The cellular domain (membranous, membranous-cytoplasmatic, and cytoplasmatic only) of CD10 expression was analyzed immunohistochemically and correlated with various clinical and histopathologic features of the tumors. Results: CD10 expression was detected in 62.2% of cancer samples and occurred preferentially in higher Gleason pattern (P & lt; 0.0001). CD10 expression positively correlated with adverse tumor features such as elevated preoperative prostate-specific antigen (PSA), higher Gleason score, and advanced stage (P & lt; 0.0001 each). Survival analyses showed that PSA recurrence was significantly associated with the staining pattern of CD10 expression. Outcome significantly declined from negative over membranous, membranous-cytoplasmatic, to exclusively cytoplasmatic CD10 expression (P & lt; 0.0001). In multivariate analysis, CD10 expression was an independent predictor for PSA failure (P = 0.0343). Conclusions: CD10 expression is an unfavorable independent risk factor in prostate cancer. The subcellular location of CD10 protein is associated with specific clinical courses, suggesting an effect on different important biological properties of prostate cancer cells. The frequent expression of CD10 in prostate cancer and the strong association of CD10 with unfavorable tumor features may qualify this biomarker for targeted therapies.
    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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  • 3
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 72, No. 1 ( 2012-01-01), p. 88-99
    Abstract: The Hedgehog (HH) pathway has been identified as an important deregulated signal transduction pathway in pancreatic ductal adenocarcinoma (PDAC), a cancer type characterized by a highly metastatic phenotype. In PDAC, the canonical HH pathway activity is restricted to the stromal compartment while HH signaling in the tumor cells is reduced as a consequence of constitutive KRAS activation. Here, we report that in the tumor compartment of PDAC the HH pathway effector transcription factor GLI1 regulates epithelial differentiation. RNAi-mediated knockdown of GLI1 abolished characteristics of epithelial differentiation, increased cell motility, and synergized with TGFβ to induce an epithelial-to-mesenchymal transition (EMT). Notably, EMT conversion in PDAC cells occurred in the absence of induction of SNAIL or SLUG, two canonical inducers of EMT in many other settings. Further mechanistic analysis revealed that GLI1 directly regulated the transcription of E-cadherin, a key determinant of epithelial tissue organization. Collectively, our findings identify GLI1 as an important positive regulator of epithelial differentiation, and they offer an explanation for how decreased levels of GLI1 are likely to contribute to the highly metastatic phenotype of PDAC. Cancer Res; 72(1); 88–99. ©2011 AACR.
    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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  • 4
    In: Clinical Cancer Research, American Association for Cancer Research (AACR), Vol. 21, No. 23 ( 2015-12-01), p. 5264-5276
    Abstract: Purpose: Chemotherapy resistance remains a major challenge in the treatment of ovarian cancer. We hypothesize that germline polymorphisms might be associated with clinical outcome. Experimental Design: We analyzed approximately 2.8 million genotyped and imputed SNPs from the iCOGS experiment for progression-free survival (PFS) and overall survival (OS) in 2,901 European epithelial ovarian cancer (EOC) patients who underwent first-line treatment of cytoreductive surgery and chemotherapy regardless of regimen, and in a subset of 1,098 patients treated with ≥4 cycles of paclitaxel and carboplatin at standard doses. We evaluated the top SNPs in 4,434 EOC patients, including patients from The Cancer Genome Atlas. In addition, we conducted pathway analysis of all intragenic SNPs and tested their association with PFS and OS using gene set enrichment analysis. Results: Five SNPs were significantly associated (P ≤ 1.0 × 10−5) with poorer outcomes in at least one of the four analyses, three of which, rs4910232 (11p15.3), rs2549714 (16q23), and rs6674079 (1q22), were located in long noncoding RNAs (lncRNAs) RP11-179A10.1, RP11-314O13.1, and RP11-284F21.8, respectively (P ≤ 7.1 × 10−6). ENCODE ChIP-seq data at 1q22 for normal ovary show evidence of histone modification around RP11-284F21.8, and rs6674079 is perfectly correlated with another SNP within the super-enhancer MEF2D, expression levels of which were reportedly associated with prognosis in another solid tumor. YAP1- and WWTR1 (TAZ)-stimulated gene expression and high-density lipoprotein (HDL)-mediated lipid transport pathways were associated with PFS and OS, respectively, in the cohort who had standard chemotherapy (pGSEA ≤6 × 10−3). Conclusions: We have identified SNPs in three lncRNAs that might be important targets for novel EOC therapies. Clin Cancer Res; 21(23); 5264–76. ©2015 AACR.
    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: 2015
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  • 5
    In: Clinical Cancer Research, American Association for Cancer Research (AACR), Vol. 19, No. 15 ( 2013-08-01), p. 4124-4136
    Abstract: Purpose: Glioblastoma is a highly malignant, invariably fatal brain tumor for which effective pharmacotherapy remains an unmet medical need. Experimental Design: Screening of a compound library of 160 synthetic and natural toxic substances identified the antihelmintic niclosamide as a previously unrecognized candidate for clinical development. Considering the cellular and interindividual heterogeneity of glioblastoma, a portfolio of short-term expanded primary human glioblastoma cells (pGBM; n = 21), common glioma lines (n = 5), and noncancer human control cells (n = 3) was applied as a discovery platform and for preclinical validation. Pharmacodynamic analysis, study of cell-cycle progression, apoptosis, cell migration, proliferation, and on the frequency of multipotent/self-renewing pGBM cells were conducted in vitro, and orthotopic xenotransplantation was used to confirm anticancer effects in vivo. Results: Niclosamide led to cytostatic, cytotoxic, and antimigratory effects, strongly reduced the frequencies of multipotent/self-renewing cells in vitro, and after exposure significantly diminished the pGBMs' malignant potential in vivo. Mechanism of action analysis revealed that niclosamide simultaneously inhibited intracellular WNT/CTNNB1-, NOTCH-, mTOR-, and NF-κB signaling cascades. Furthermore, combinatorial drug testing established that a heterozygous deletion of the NFKBIA locus in glioblastoma samples could serve as a genomic biomarker for predicting a synergistic activity of niclosamide with temozolomide, the current standard in glioblastoma therapy. Conclusions: Together, our data advocate the use of pGBMs for exploration of compound libraries to reveal unexpected leads, for example, niclosamide that might be suited for further development toward personalized clinical application. Clin Cancer Res; 19(15); 4124–36. ©2013 AACR.
    Type of Medium: Online Resource
    ISSN: 1078-0432 , 1557-3265
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2013
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  • 6
    In: Cancer Epidemiology, Biomarkers & Prevention, American Association for Cancer Research (AACR), Vol. 22, No. 5 ( 2013-05-01), p. 987-992
    Abstract: Background: Ovarian cancer is a leading cause of cancer-related death among women. In an effort to understand contributors to disease outcome, we evaluated single-nucleotide polymorphisms (SNP) previously associated with ovarian cancer recurrence or survival, specifically in angiogenesis, inflammation, mitosis, and drug disposition genes. Methods: Twenty-seven SNPs in VHL, HGF, IL18, PRKACB, ABCB1, CYP2C8, ERCC2, and ERCC1 previously associated with ovarian cancer outcome were genotyped in 10,084 invasive cases from 28 studies from the Ovarian Cancer Association Consortium with over 37,000-observed person-years and 4,478 deaths. Cox proportional hazards models were used to examine the association between candidate SNPs and ovarian cancer recurrence or survival with and without adjustment for key covariates. Results: We observed no association between genotype and ovarian cancer recurrence or survival for any of the SNPs examined. Conclusions: These results refute prior associations between these SNPs and ovarian cancer outcome and underscore the importance of maximally powered genetic association studies. Impact: These variants should not be used in prognostic models. Alternate approaches to uncovering inherited prognostic factors, if they exist, are needed. Cancer Epidemiol Biomarkers Prev; 22(5); 987–. ©2013 AACR.
    Type of Medium: Online Resource
    ISSN: 1055-9965 , 1538-7755
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2013
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  • 7
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 82, No. 12_Supplement ( 2022-06-15), p. 3602-3602
    Abstract: Chimeric antigen receptor (CAR) T cell immunotherapy is FDA approved for the treatment of a subset of B cell malignancies but has shown limited clinical success in solid tumor therapy. T cell exhaustion is an important factor involved in treatment failure, and can, in part, result from continuous stimulation of the CAR by tumor cells expressing the cognate antigen. To gain deeper understanding of CAR T cell exhaustion induced by chronic antigen exposure (CAE), we developed and validated a robust in vitro model, in which mesothelin-redirected CAR T cells (M5CAR) were continuously stimulated with mesothelin-expressing AsPC-1 pancreatic tumor cells such that tumor cells were never cleared, and we characterized these CAE CAR T cells by gene expression at population and single-cell levels, and by epigenetic analyses. CAE M5CAR T cells recapitulate the hallmarks of T cell exhaustion, including reduced proliferation, down-modulation of surface CAR, decreased cytokine production, and reduced cytotoxicity. In addition, CAR T cells undergoing CAE have a transcriptional signature and an epigenetic landscape consistent with exhaustion. Further, transcriptomic analysis revealed that CAE M5CAR T cells undergo a transition from T cells to a post-thymic NK-like T cell phenotype. This plasticity was confirmed by TCR lineage tracing and was also detected in CD19 CAR T cells analyzed from post-infusion blood from DLBCL patients and in M5CAR T cells infiltrating relapsed tumors derived from a xenograft NSG/AsPC-1 mouse model. The dysfunctional signature and the NK phenotype were further detected in vivo by transcriptomic analysis in Ly95 TCR-specific TILs infiltrating NY-ESO-1 tumors. Among the genes included in the dysfunctional signature, the transcription factors SOX4 and ID3 were identified as potential regulators of dysfunction by differential gene expression and pathway analyses. To determine their role in the establishment of a dysfunctional phenotype, we generated ID3KO.M5 and SOX4KO.M5 CAR T cells using CRISPR technology in primary human lymphocytes. The cytotoxic potential of the M5 CAR T cell product generated was not modified by the genetic disruption of the transcription factors. However, when CAR T cells were challenged with chronic antigen stimulation, KO CAR T cells showed a significant reduction of the dysfunctional signature and the NK-like T cell gene expression. Importantly, CAE KO CAR T cells exhibit improved cytotoxicity as compared to Mock.M5CAR T cells. In summary, we have developed a robust in vitro model that recapitulates the hallmarks of T cell exhaustion and that facilitated the identification of a gene signature defining CAR dysregulation, a T-to-NK-like-T cell transition as a novel feature of CAR T cell dysfunction and the transcription factors SOX4 and ID3 as key regulators of CAR T cell exhaustion. Citation Format: M. Angela Aznar, Charly R. Good, Shunichiro Kuramitsu, Parisa Samareh, Sangya Agarwal, Greg Donahue, Kenichi Ishiyama, Nils Wellhausen, Austin K. Rennels, Yujie Ma, Lifeng Tian, Sonia Guedan, Katherine A. Alexander, Zhen Zhang, Philipp C. Rommel, Nathan Singh, Karl M. Glastad, Max W. Richardson, Keisuke Watanabe, Janos L. Tanyi, Mark H. O’Hara, Marco Ruella, Simon F. Lacey, Edmund K. Moon, Stephen J. Schuster, Steven M. Albelda, Lewis L. Lanier, Regina M. Young, Shelley L. Berger, Carl H. June. Mechanisms of CAR T cell dysfunction and identification of transcription factors that drive the exhaustion phenotype [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 3602.
    Type of Medium: Online Resource
    ISSN: 1538-7445
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2022
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  • 8
    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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  • 9
    In: Molecular Cancer Therapeutics, American Association for Cancer Research (AACR), Vol. 21, No. 1 ( 2022-01-01), p. 100-112
    Abstract: Colorectal cancer is one of the most frequent tumor entities, with an increasing incidence and mortality in younger adults in Europe and the United States. Five-year survival rates for advanced colorectal cancer are still low, highlighting the need for novel targets in colorectal cancer therapy. Here, we investigated the therapeutic potential of the compound devimistat (CPI-613) that targets altered mitochondrial cancer cell metabolism and its synergism with the antineoplastic drugs 5-fluorouracil (5-FU) and irinotecan (IT) in colorectal cancer. Devimistat exerted a comparable cytotoxicity in a panel of established colorectal cancer cell lines and patient-derived short-term cultures independent of their genetic and epigenetic status, whereas human colonic epithelial cells were more resistant, indicating tumor selectivity. These findings were corroborated in intestinal organoid and tumoroid models. Mechanistically, devimistat disrupted mitochondrial membrane potential and severely impaired mitochondrial respiration, resulting in colorectal cancer cell death induction independent of p53. Combination treatment of devimistat with 5-FU or IT demonstrated synergistic cell killing in colorectal cancer cells as shown by Combenefit modeling and Chou–Talalay analysis. Increased cell death induction was revealed as a major mechanism involving downregulation of antiapoptotic genes and accumulation of proapoptotic Bim, which was confirmed by its genetic knockdown. In human colorectal cancer xenograft mouse models, devimistat showed antitumor activity and synergized with IT, resulting in prolonged survival and enhanced therapeutic efficacy. In human tumor xenografts, devimistat prevented IT-triggered p53 stabilization and caused synergistic Bim induction. Taken together, our study revealed devimistat as a promising candidate in colorectal cancer therapy by synergizing with established antineoplastic drugs in vitro and in vivo.
    Type of Medium: Online Resource
    ISSN: 1535-7163 , 1538-8514
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2022
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  • 10
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 79, No. 13_Supplement ( 2019-07-01), p. 1686-1686
    Abstract: Most adult gastrointestinal stromal tumors (GIST) are driven by activating KIT or PDGFRA mutations. The remaining 10-15% of cases, often referred to as wildtype (WT) GIST, display either alterations of the succinate dehydrogenase complex (SDH) or RAS pathway mutations. To gain additional insight into the biology of GIST, we performed whole-exome or genome and RNA sequencing in 38 GIST patients (WT, n=15; KIT-mutant, n=21; PDGFRA-mutant, n=2) enrolled in a prospective molecular stratification trial of NCT Heidelberg/Dresden and the German Cancer Consortium (DKTK) designed for younger adults with advanced-stage cancer across histologies and patients with rare tumors (NCT/DKTK MASTER). Of the 15 patients with WT GIST, 3 had pathogenic germline mutations in NF1 and 9 harbored SDH alterations (germline, n=5; somatic, n=4). In the 3 patients with quadruple-negative GIST - defined by the absence of KIT, PDGFRA, SDH, or RAS pathway alterations - we detected novel gene fusions affecting RET, FGFR2, and FGF4, respectively. To delineate biologically relevant subgroups of GIST based on RNA sequencing data from the entire cohort (n=34), we used 3 different clustering methods and 4 different measures of stability and consistency. Despite the underlying clinical and molecular heterogeneity, we identified 3 distinct transcriptional subgroups that were characterized by (i) SDH deficiency, (ii) recurrent somatic RB1 alterations and mutational signatures associated with defective homologous recombination DNA repair, and (iii) elevated PDGFRA expression, respectively. Furthermore, we used random forest analysis to identifiy genes that are significantly (p & lt;0.005) differentially expressed between the 3 subgroups. Interestingly, quadruple-negative cases did not form a separate cluster or clustered within a specific subgroup. Collectively, our data illustrate the molecular heterogeneity of advanced-stage GIST and support comprehensive molecular profiling approaches to capture the entire spectrum of clinically actionable genetic alterations, such as diverse fusion genes affecting kinase signaling pathways in quadruple-negative cases or pathogenic germline mutations in patients with inconspicuous family histories. The finding of two separate transcriptional clusters among patients with SDH-proficient GIST may be reflective of distinct regulatory pathways whose molecular underpinnings and clinical actionability warrant further study. Citation Format: Peter Horak, Matea Hajnic, Laura Gieldon, Mario Hlevnjak, Susan Richter, Barbara Hutter, Johanna Falkenhorst, Sebastian Uhrig, Gregor Warsow, Nagarajan Paramasivam, Stefan Gröschel, Barbara Klink, Simon Kreutzfeldt, Christoph Heining, Christoph E. Heilig, Martina Fröhlich, Stephan Richter, Christian Brandts, Wilko Weichert, Philipp Jost, Olaf Neumann, Marc Zapatka, Albrecht Stenzinger, Alexander Marx, Benedikt Brors, Evelin Schröck, Sebastian Bauer, Peter Hohenberger, Hanno Glimm, Claudia Scholl, Stefan Fröhling. Comprehensive genomic and transcriptomic profiling of gastrointestinal stromal tumors [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 1686.
    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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