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Charmpi K, Guo T, Zhong Q, Wagner U, Sun R, Toussaint NC, Fritz CE, Yuan C, Chen H, Rupp NJ, Christiansen A, Rutishauser D, Rüschoff JH, Fankhauser C, Saba K, Poyet C, Hermanns T, Oehl K, Moore AL, Beisel C, Calzone L, Martignetti L, Zhang Q, Zhu Y, Martínez MR, Manica M, Haffner MC, Aebersold R, Wild PJ, Beyer A. Convergent network effects along the axis of gene expression during prostate cancer progression. Genome Biol 2020; 21:302. [PMID: 33317623 PMCID: PMC7737297 DOI: 10.1186/s13059-020-02188-9] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Accepted: 10/26/2020] [Indexed: 02/07/2023] Open
Abstract
Background Tumor-specific genomic aberrations are routinely determined by high-throughput genomic measurements. It remains unclear how complex genome alterations affect molecular networks through changing protein levels and consequently biochemical states of tumor tissues. Results Here, we investigate the propagation of genomic effects along the axis of gene expression during prostate cancer progression. We quantify genomic, transcriptomic, and proteomic alterations based on 105 prostate samples, consisting of benign prostatic hyperplasia regions and malignant tumors, from 39 prostate cancer patients. Our analysis reveals the convergent effects of distinct copy number alterations impacting on common downstream proteins, which are important for establishing the tumor phenotype. We devise a network-based approach that integrates perturbations across different molecular layers, which identifies a sub-network consisting of nine genes whose joint activity positively correlates with increasingly aggressive tumor phenotypes and is predictive of recurrence-free survival. Further, our data reveal a wide spectrum of intra-patient network effects, ranging from similar to very distinct alterations on different molecular layers. Conclusions This study uncovers molecular networks with considerable convergent alterations across tumor sites and patients. It also exposes a diversity of network effects: we could not identify a single sub-network that is perturbed in all high-grade tumor regions.
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Affiliation(s)
- Konstantina Charmpi
- CECAD, University of Cologne, Cologne, Germany.,Center for Molecular Medicine Cologne (CMMC), Medical Faculty, University of Cologne, Cologne, Germany
| | - Tiannan Guo
- Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland. .,Zhejiang Provincial Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, 310024, China. .,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, 310024, China.
| | - Qing Zhong
- Department of Pathology and Molecular Pathology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.,ProCan®, Children's Medical Research Institute, Faculty of Medicine and Health, University of Sydney, Westmead, NSW, Australia
| | - Ulrich Wagner
- Department of Pathology and Molecular Pathology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Rui Sun
- Zhejiang Provincial Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, 310024, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, 310024, China
| | - Nora C Toussaint
- Department of Pathology and Molecular Pathology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.,NEXUS Personalized Health Technologies, ETH Zurich, Zurich, Switzerland.,Swiss Institute of Bioinformatics, Zurich, Switzerland
| | - Christine E Fritz
- Department of Pathology and Molecular Pathology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Chunhui Yuan
- Zhejiang Provincial Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, 310024, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, 310024, China
| | - Hao Chen
- Zhejiang Provincial Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, 310024, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, 310024, China
| | - Niels J Rupp
- Department of Pathology and Molecular Pathology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Ailsa Christiansen
- Department of Pathology and Molecular Pathology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Dorothea Rutishauser
- Department of Pathology and Molecular Pathology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Jan H Rüschoff
- Department of Pathology and Molecular Pathology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Christian Fankhauser
- Department of Pathology and Molecular Pathology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Karim Saba
- Department of Pathology and Molecular Pathology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.,Department of Urology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Cedric Poyet
- Department of Urology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Thomas Hermanns
- Department of Urology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Kathrin Oehl
- Department of Pathology and Molecular Pathology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Ariane L Moore
- Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland
| | - Christian Beisel
- Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland
| | | | | | - Qiushi Zhang
- Zhejiang Provincial Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, 310024, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, 310024, China
| | - Yi Zhu
- Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.,Zhejiang Provincial Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, 310024, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, 310024, China
| | | | | | | | - Ruedi Aebersold
- Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland. .,Faculty of Science, University of Zurich, Zurich, Switzerland.
| | - Peter J Wild
- Department of Pathology and Molecular Pathology, University Hospital Zurich, University of Zurich, Zurich, Switzerland. .,Dr. Senckenberg Institute of Pathology, University Hospital Frankfurt, Goethe-University Frankfurt, Frankfurt, Germany.
| | - Andreas Beyer
- CECAD, University of Cologne, Cologne, Germany. .,Center for Molecular Medicine Cologne (CMMC), Medical Faculty, University of Cologne, Cologne, Germany.
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Taghizadeh H, Mader RM, Müllauer L, Aust S, Polterauer S, Kölbl H, Seebacher V, Grimm C, Reinthaller A, Prager GW. Molecular Guided Treatments in Gynecologic Oncology: Analysis of a Real-World Precision Cancer Medicine Platform. Oncologist 2020; 25:e1060-e1069. [PMID: 32369643 PMCID: PMC7356753 DOI: 10.1634/theoncologist.2019-0904] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2019] [Accepted: 03/30/2020] [Indexed: 12/24/2022] Open
Abstract
INTRODUCTION Advanced gynecologic cancers have a poor prognosis and constitute a major challenge for adequate treatment strategies. By analyzing and targeting molecular alterations, molecular guided treatments may be a viable option for the treatment of advanced gynecologic cancers. PATIENTS AND METHODS In this single-center, real-world retrospective analysis of our platform for precision cancer medicine (PCM), we describe the molecular profiling of 72 patients diagnosed with different types of advanced gynecologic malignancies. Tumor samples of the patients were examined by next-generation sequencing panel and immunohistochemistry (IHC). RESULTS In total, we identified 209 genetic aberrations in 72 patients. The ten most frequent alterations were TP53 (n = 42, 20%), KRAS (n = 14, 6.6%), PIK3CA (n = 11, 5.2%), PIK3R1 (n = 9, 4.3%), ATR (n = 8, 3.8%), PTEN (n = 8, 3.8%), BRCA1 (n = 6, 2.8%), NF1 (n = 4, 1.9%), NOTCH1 (n = 4, 1.9%), and POLE (n = 4, 1.9%), which account for more than half of all molecular alterations (52.6%). In 21 (29.1%) patients only one mutation could be detected, and 44 (61.1%) patients had more than one mutation. No molecular alterations were detected in seven (9.7%) patients. IHC detected expression of phosphorylated mammalian target of rapamycin and epidermal growth factor receptor in 58 (80.6%) and 53 (73.6%) patients, respectively. In over two thirds (n = 49, 68.1%), a targeted therapy was suggested, based on the identified genetic aberrations. The most frequently recommended specific treatment was the combination of everolimus with exemestane (n = 18, 25 %). CONCLUSION Based on our observations, it seems that PCM might be a feasible approach for advanced gynecologic cancers with limited treatment options. IMPLICATIONS FOR PRACTICE Nowadays molecular profiling of advanced gynecologic malignancies is feasible in the clinical routine. A molecular portrait should be done for every patient with an advanced therapy-refractory gynecologic malignancy to offer molecular-based treatment concepts.
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Affiliation(s)
- Hossein Taghizadeh
- Clinical Division of Oncology, Department of Medicine I, Medical University of ViennaViennaAustria
- Comprehensive Cancer Center ViennaViennaAustria
| | - Robert M. Mader
- Clinical Division of Oncology, Department of Medicine I, Medical University of ViennaViennaAustria
- Comprehensive Cancer Center ViennaViennaAustria
| | - Leonhard Müllauer
- Clinical Institute of Pathology, Medical University of ViennaViennaAustria
| | - Stefanie Aust
- Department of Obstetrics and Gynecology, Medical University of ViennaViennaAustria
- Comprehensive Cancer Center ViennaViennaAustria
| | - Stephan Polterauer
- Department of Obstetrics and Gynecology, Medical University of ViennaViennaAustria
- Comprehensive Cancer Center ViennaViennaAustria
| | - Heinz Kölbl
- Department of Obstetrics and Gynecology, Medical University of ViennaViennaAustria
- Comprehensive Cancer Center ViennaViennaAustria
| | - Veronika Seebacher
- Department of Obstetrics and Gynecology, Medical University of ViennaViennaAustria
- Comprehensive Cancer Center ViennaViennaAustria
| | - Christoph Grimm
- Department of Obstetrics and Gynecology, Medical University of ViennaViennaAustria
- Comprehensive Cancer Center ViennaViennaAustria
| | - Alexander Reinthaller
- Department of Obstetrics and Gynecology, Medical University of ViennaViennaAustria
- Comprehensive Cancer Center ViennaViennaAustria
| | - Gerald W. Prager
- Clinical Division of Oncology, Department of Medicine I, Medical University of ViennaViennaAustria
- Comprehensive Cancer Center ViennaViennaAustria
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Abstract
INTRODUCTION Advanced therapy-refractory biliary tract cancer (BTC) has poor prognosis and constitutes a major challenge for adequate treatment strategies. By mapping the molecular profiles of advanced BTC patients, precision cancer medicine may provide targeted therapies for these patients. OBJECTIVE In this analysis, we aimed to show the potential of PCM in metastatic BTC. METHODS In this single-center, real-world retrospective analysis of our PCM platform, we describe the molecular profiling of 30 patients diagnosed with different types of metastatic BTC. Tumor samples of the patients were examined using a 161-gene next-generation sequencing panel, immunohistochemistry (IHC), and fluorescence in situ hybridization for chromosomal translocations. RESULTS In total, we identified 35 molecular aberrations in 30 patients. The predominant mutations were KRAS (n = 8), TP53 (n = 7), IDH2 (n = 4), and IDH1 (n = 3) that accounted for the majority of all molecular alterations (62.86%). BRAF mutations were observed in two patients. Less frequent alterations were noted in ARID1A, CTNNB1, ESR1, FBXW7, FGFR2, MET, NOTCH2, PIK3CA, PTCH1, SMAD4, and SRC1, each in one case. FGFR fusion gene was detected in one patient. No mutations were detected in eight patients. IHC revealed EGFR and p-mTOR expression in 28 patients. Applying these results to our patients, targeted therapy was recommended for 60% of the patients (n = 18). One patient achieved stable disease. CONCLUSIONS PCM is a feasible treatment approach and may provide molecular-guided therapy recommendations for metastatic BTC.
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Affiliation(s)
- H Taghizadeh
- Department of Medicine I, Clinical Division of Oncology, Medical University of Vienna, Spitalgasse 23, 1090, Vienna, Austria.,Comprehensive Cancer Center Vienna, Vienna, Austria
| | - L Müllauer
- Clinical Institute of Pathology, Medical University Vienna, Vienna, Austria
| | - R Mader
- Department of Medicine I, Clinical Division of Oncology, Medical University of Vienna, Spitalgasse 23, 1090, Vienna, Austria.,Comprehensive Cancer Center Vienna, Vienna, Austria
| | - G W Prager
- Department of Medicine I, Clinical Division of Oncology, Medical University of Vienna, Spitalgasse 23, 1090, Vienna, Austria. .,Comprehensive Cancer Center Vienna, Vienna, Austria.
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