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Corres-Mendizabal J, Zacchi F, Martín-Martín N, Mateo J, Carracedo A. Metastatic hormone-naïve prostate cancer: a distinct biological entity. Trends Cancer 2024; 10:825-841. [PMID: 39048488 PMCID: PMC11397905 DOI: 10.1016/j.trecan.2024.06.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Revised: 06/11/2024] [Accepted: 06/20/2024] [Indexed: 07/27/2024]
Abstract
Metastatic hormone-naïve prostate cancer (mHNPC) is often the initial form of presentation for metastatic prostate cancer and encompasses a heterogeneous patient population with high inter-patient heterogeneity in prognosis and response to therapy. A more precise treatment of mHNPC, guided by evidence-based biomarkers, remains an unmet medical need. In addition, the limited number of representative laboratory models of mHNPC hampers the translation of basic research into clinical applications. We provide a comprehensive overview of the clinical and biological features that characterize mHNPC, highlight molecular data that could explain the unique prognostic characteristics of mHNPC, and identify key open questions.
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Affiliation(s)
- Jon Corres-Mendizabal
- Center for Cooperative Research in Biosciences (CIC bioGUNE), Basque Research and Technology Alliance (BRTA), Bizkaia Technology Park, 48160 Derio, Spain
| | - Francesca Zacchi
- Section of Innovation Biomedicine-Oncology Area, Department of Engineering for Innovation Medicine (DIMI), University of Verona and University and Hospital Trust (AOUI) of Verona, Verona, Italy; Vall Hebron Institute of Oncology (VHIO), Vall d'Hebron University Hospital Campus, Barcelona, Spain
| | - Natalia Martín-Martín
- Center for Cooperative Research in Biosciences (CIC bioGUNE), Basque Research and Technology Alliance (BRTA), Bizkaia Technology Park, 48160 Derio, Spain; Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), 28029 Madrid, Spain; Translational Prostate Cancer Research Laboratory, CIC bioGUNE-Basurto, Biobizkaia Health Research Institute, 48903 Barakaldo, Bizkaia, Spain
| | - Joaquin Mateo
- Vall Hebron Institute of Oncology (VHIO), Vall d'Hebron University Hospital Campus, Barcelona, Spain.
| | - Arkaitz Carracedo
- Center for Cooperative Research in Biosciences (CIC bioGUNE), Basque Research and Technology Alliance (BRTA), Bizkaia Technology Park, 48160 Derio, Spain; Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), 28029 Madrid, Spain; Translational Prostate Cancer Research Laboratory, CIC bioGUNE-Basurto, Biobizkaia Health Research Institute, 48903 Barakaldo, Bizkaia, Spain; Ikerbasque, Basque Foundation for Science, Bilbao, Spain; Biochemistry and Molecular Biology Department, University of the Basque Country (UPV/EHU), Bilbao, Spain.
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2
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Valencia I, Nuzzo PV, Francini E, Ravera F, Fanelli GN, Bleve S, Scatena C, Marchionni L, Omar M. Gene Signature for Predicting Metastasis in Prostate Cancer Using Primary Tumor Expression Profiles. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.08.30.24312735. [PMID: 39252915 PMCID: PMC11383506 DOI: 10.1101/2024.08.30.24312735] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/11/2024]
Abstract
Prostate cancer (PCa) is currently the most commonly diagnosed cancer and second leading cause of cancer-related death in men in the United States. The development of metastases is associated with a poor prognosis in PCa patients. Since current clinicopathological classification schemes are unable to accurately prognosticate the risk of metastasis for those diagnosed with localized PCa, there is a pressing need for precise and easily attainable biomarkers of metastatic risk in these patients. Primary tumor samples from 1239 individuals with PCa were divided into development (n=1000) and validation (n=239) cohorts. In the development cohort, we utilized a meta-analysis workflow on retrospective primary tumor gene expression profiles to identify a subset of genes predictive of metastasis. For each gene, we computed Hedges' g effect size and combined their p-values using Fisher's combined probability test. We then adjusted for multiple hypothesis testing using the Benjamini-Hochberg method. Our developed gene signature, termed Meta-Score, achieved a robust performance at predicting metastasis from primary tumor gene expression profiles, with an AUC of 0.72 in the validation cohort. In addition to its robust predictive power, Meta-Score also demonstrated a significant prognostic utility in two independent cohorts. Specifically, patients with a higher risk-score had a significantly worse metastasis-free survival and progression-free survival compared to those with lower score. Multivariate cox proportional hazards model showed that Meta-Score is significantly associated with worse survival even after adjusting for Gleason score. Our findings suggest that our primary tumor transcriptional signature, Meta-Score, could be a valuable tool to assess the risk of metastasis in PCa patients with localized disease, pending validation in large prospective studies. Author Summary Metastasis is the leading cause of death in patients diagnosed with prostate cancer (PCa), underscoring the need for reliable prediction tools to forecast the risk of metastasis at an early stage. Here, we utilize the gene expression profiles of 1,000 unique primary tumors from patients with localized PCa to develop a gene signature capable of predicting metastasis. Our signature, termed Meta-Score, comprises forty-five genes that can accurately distinguish primary tumor with high propensity for metastasis across different patient cohorts. Notably, Meta-Score maintained its robust predictive performance in an internal validation cohort of comprising primary tumor samples from 239 patients. In addition to its robust predictive performance, Meta-Score demonstrates a significant association with survival, independent of Gleason score in two independent patient cohorts, underscoring its prognostic utility. Taken together, Meta-Score is a robust risk-stratification tool that can be leveraged to identify patients at high-risk of metastasis and unfavorable survival using their primary tumor gene expression profiles.
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3
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Skotheim RI, Bogaard M, Carm KT, Axcrona U, Axcrona K. Prostate cancer: Molecular aspects, consequences, and opportunities of the multifocal nature. Biochim Biophys Acta Rev Cancer 2024; 1879:189080. [PMID: 38272101 DOI: 10.1016/j.bbcan.2024.189080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 01/17/2024] [Accepted: 01/22/2024] [Indexed: 01/27/2024]
Abstract
Prostate cancer is unique compared to other major cancers due to the presence of multiple primary malignant foci in the majority of patients at the time of diagnosis. Each malignant focus has distinct somatic mutations and gene expression patterns, which represents a challenge for the development of prognostic tests for localized prostate cancer. Additionally, the molecular heterogeneity of advanced prostate cancer has important implications for management, particularly for patients with metastatic and locally recurrent cancer. Studies have shown that prostate cancers with mutations in DNA damage response genes are more sensitive to drugs inhibiting the poly ADP-ribose polymerase (PARP) enzyme. However, testing for such mutations should consider both spatial and temporal heterogeneity. Here, we summarize studies where multiregional genomics and transcriptomics analyses have been performed for primary prostate cancer. We further discuss the vast interfocal heterogeneity and how prognostic biomarkers and a molecular definition of the index tumor should be developed. The concept of focal treatments in prostate cancer has been evolving as a demand from patients and clinicians and is one example where there is a need for defining an index tumor. Here, biomarkers must have proven value for individual malignant foci. The potential discovery and implementation of biomarkers that are agnostic to heterogeneity are also explored as an alternative to multisample testing. Thus, deciding upon whole-organ treatment, such as radical prostatectomy, should depend on information from biomarkers which are informative for the whole organ.
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Affiliation(s)
- Rolf I Skotheim
- Department of Molecular Oncology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway; Department of Informatics, Faculty of Mathematics and Natural Sciences, University of Oslo, Oslo, Norway.
| | - Mari Bogaard
- Department of Molecular Oncology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway; Department of Pathology, Oslo University Hospital, Oslo, Norway
| | - Kristina T Carm
- Department of Molecular Oncology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway
| | - Ulrika Axcrona
- Department of Molecular Oncology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway; Department of Pathology, Oslo University Hospital, Oslo, Norway
| | - Karol Axcrona
- Department of Molecular Oncology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway; Department of Urology, Akershus University Hospital, Lørenskog, Norway
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4
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Rasmussen M, Fredsøe J, Salachan PV, Blanke MPL, Larsen SH, Ulhøi BP, Jensen JB, Borre M, Sørensen KD. Stroma-specific gene expression signature identifies prostate cancer subtype with high recurrence risk. NPJ Precis Oncol 2024; 8:48. [PMID: 38395986 PMCID: PMC10891092 DOI: 10.1038/s41698-024-00540-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Accepted: 02/02/2024] [Indexed: 02/25/2024] Open
Abstract
Current prognostic tools cannot clearly distinguish indolent and aggressive prostate cancer (PC). We hypothesized that analyzing individual contributions of epithelial and stromal components in localized PC (LPC) could improve risk stratification, as stromal subtypes may have been overlooked due to the emphasis on malignant epithelial cells. Hence, we derived molecular subtypes of PC using gene expression analysis of LPC samples from prostatectomy patients (cohort 1, n = 127) and validated these subtypes in two independent prostatectomy cohorts (cohort 2, n = 406, cohort 3, n = 126). Stroma and epithelium-specific signatures were established from laser-capture microdissection data and non-negative matrix factorization was used to identify subtypes based on these signatures. Subtypes were functionally characterized by gene set and cell type enrichment analyses, and survival analysis was conducted. Three epithelial (E1-E3) and three stromal (S1-S3) PC subtypes were identified. While subtyping based on epithelial signatures showed inconsistent associations to biochemical recurrence (BCR), subtyping by stromal signatures was significantly associated with BCR in all three cohorts, with subtype S3 indicating high BCR risk. Subtype S3 exhibited distinct features, including significantly decreased cell-polarity and myogenesis, significantly increased infiltration of M2-polarized macrophages and CD8 + T-cells compared to subtype S1. For patients clinically classified as CAPRA-S intermediate risk, S3 improved prediction of BCR. This study demonstrates the potential of stromal signatures in identification of clinically relevant PC subtypes, and further indicated that stromal characterization may enhance risk stratification in LPC and may be particularly promising in cases with high prognostic ambiguity based on clinical parameters.
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Affiliation(s)
- Martin Rasmussen
- Department of Molecular Medicine, Aarhus University Hospital (AUH), Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Jacob Fredsøe
- Department of Molecular Medicine, Aarhus University Hospital (AUH), Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Paul Vinu Salachan
- Department of Molecular Medicine, Aarhus University Hospital (AUH), Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Marcus Pii Lunau Blanke
- Department of Molecular Medicine, Aarhus University Hospital (AUH), Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Stine Hesselby Larsen
- Department of Molecular Medicine, Aarhus University Hospital (AUH), Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | | | - Jørgen Bjerggaard Jensen
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Department of Urology, Gødstrup Hospital, Herning, Denmark
| | - Michael Borre
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Department of Urology, Aarhus University Hospital (AUH), Aarhus, Denmark
| | - Karina Dalsgaard Sørensen
- Department of Molecular Medicine, Aarhus University Hospital (AUH), Aarhus, Denmark.
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
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5
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An Y, Lu W, Li S, Lu X, Zhang Y, Han D, Su D, Jia J, Yuan J, Zhao B, Tu M, Li X, Wang X, Fang N, Ji S. Systematic review and integrated analysis of prognostic gene signatures for prostate cancer patients. Discov Oncol 2023; 14:234. [PMID: 38112859 PMCID: PMC10730790 DOI: 10.1007/s12672-023-00847-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Accepted: 12/07/2023] [Indexed: 12/21/2023] Open
Abstract
Prostate cancer (PC) is one of the most common cancers in men and becoming the second leading cause of cancer fatalities. At present, the lack of effective strategies for prognosis of PC patients is still a problem to be solved. Therefore, it is significant to identify potential gene signatures for PC patients' prognosis. Here, we summarized 71 different prognostic gene signatures for PC and concluded 3 strategies for signature construction after extensive investigation. In addition, 14 genes frequently appeared in 71 different gene signatures, which enriched in mitotic and cell cycle. This review provides extensive understanding and integrated analysis of current prognostic signatures of PC, which may help researchers to construct gene signatures of PC and guide future clinical treatment.
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Affiliation(s)
- Yang An
- School of Basic Medical Sciences, Henan University, Kaifeng, 475004, China.
- Department of Biochemistry and Molecular Biology, Cell Signal Transduction Laboratory, School of Basic Medical Sciences, Henan University, Jinming Street, Kaifeng, 475004, Henan, China.
- Henan Provincial Engineering Center for Tumor Molecular Medicine, Kaifeng Key Laboratory of Cell Signal Transduction, Kaifeng, 475004, China.
| | - Wenyuan Lu
- School of Basic Medical Sciences, Henan University, Kaifeng, 475004, China
- Department of Biochemistry and Molecular Biology, Cell Signal Transduction Laboratory, School of Basic Medical Sciences, Henan University, Jinming Street, Kaifeng, 475004, Henan, China
- Henan Provincial Engineering Center for Tumor Molecular Medicine, Kaifeng Key Laboratory of Cell Signal Transduction, Kaifeng, 475004, China
| | - Shijia Li
- School of Basic Medical Sciences, Henan University, Kaifeng, 475004, China
- Department of Biochemistry and Molecular Biology, Cell Signal Transduction Laboratory, School of Basic Medical Sciences, Henan University, Jinming Street, Kaifeng, 475004, Henan, China
- Henan Provincial Engineering Center for Tumor Molecular Medicine, Kaifeng Key Laboratory of Cell Signal Transduction, Kaifeng, 475004, China
| | - Xiaoyan Lu
- School of Basic Medical Sciences, Henan University, Kaifeng, 475004, China
- Department of Biochemistry and Molecular Biology, Cell Signal Transduction Laboratory, School of Basic Medical Sciences, Henan University, Jinming Street, Kaifeng, 475004, Henan, China
- Henan Provincial Engineering Center for Tumor Molecular Medicine, Kaifeng Key Laboratory of Cell Signal Transduction, Kaifeng, 475004, China
| | - Yuanyuan Zhang
- School of Basic Medical Sciences, Henan University, Kaifeng, 475004, China
- Department of Biochemistry and Molecular Biology, Cell Signal Transduction Laboratory, School of Basic Medical Sciences, Henan University, Jinming Street, Kaifeng, 475004, Henan, China
- Henan Provincial Engineering Center for Tumor Molecular Medicine, Kaifeng Key Laboratory of Cell Signal Transduction, Kaifeng, 475004, China
| | - Dongcheng Han
- School of Basic Medical Sciences, Henan University, Kaifeng, 475004, China
- Department of Biochemistry and Molecular Biology, Cell Signal Transduction Laboratory, School of Basic Medical Sciences, Henan University, Jinming Street, Kaifeng, 475004, Henan, China
- Henan Provincial Engineering Center for Tumor Molecular Medicine, Kaifeng Key Laboratory of Cell Signal Transduction, Kaifeng, 475004, China
| | - Dingyuan Su
- School of Basic Medical Sciences, Henan University, Kaifeng, 475004, China
- Department of Biochemistry and Molecular Biology, Cell Signal Transduction Laboratory, School of Basic Medical Sciences, Henan University, Jinming Street, Kaifeng, 475004, Henan, China
- Henan Provincial Engineering Center for Tumor Molecular Medicine, Kaifeng Key Laboratory of Cell Signal Transduction, Kaifeng, 475004, China
| | - Jiaxin Jia
- School of Basic Medical Sciences, Henan University, Kaifeng, 475004, China
- Department of Biochemistry and Molecular Biology, Cell Signal Transduction Laboratory, School of Basic Medical Sciences, Henan University, Jinming Street, Kaifeng, 475004, Henan, China
- Henan Provincial Engineering Center for Tumor Molecular Medicine, Kaifeng Key Laboratory of Cell Signal Transduction, Kaifeng, 475004, China
| | - Jiaxin Yuan
- School of Basic Medical Sciences, Henan University, Kaifeng, 475004, China
- Department of Biochemistry and Molecular Biology, Cell Signal Transduction Laboratory, School of Basic Medical Sciences, Henan University, Jinming Street, Kaifeng, 475004, Henan, China
- Henan Provincial Engineering Center for Tumor Molecular Medicine, Kaifeng Key Laboratory of Cell Signal Transduction, Kaifeng, 475004, China
| | - Binbin Zhao
- School of Basic Medical Sciences, Henan University, Kaifeng, 475004, China
- Department of Biochemistry and Molecular Biology, Cell Signal Transduction Laboratory, School of Basic Medical Sciences, Henan University, Jinming Street, Kaifeng, 475004, Henan, China
- Henan Provincial Engineering Center for Tumor Molecular Medicine, Kaifeng Key Laboratory of Cell Signal Transduction, Kaifeng, 475004, China
| | - Mengjie Tu
- School of Basic Medical Sciences, Henan University, Kaifeng, 475004, China
- Department of Biochemistry and Molecular Biology, Cell Signal Transduction Laboratory, School of Basic Medical Sciences, Henan University, Jinming Street, Kaifeng, 475004, Henan, China
- Henan Provincial Engineering Center for Tumor Molecular Medicine, Kaifeng Key Laboratory of Cell Signal Transduction, Kaifeng, 475004, China
| | - Xinyu Li
- School of Basic Medical Sciences, Henan University, Kaifeng, 475004, China
- Department of Biochemistry and Molecular Biology, Cell Signal Transduction Laboratory, School of Basic Medical Sciences, Henan University, Jinming Street, Kaifeng, 475004, Henan, China
- Henan Provincial Engineering Center for Tumor Molecular Medicine, Kaifeng Key Laboratory of Cell Signal Transduction, Kaifeng, 475004, China
| | - Xiaoqing Wang
- School of Basic Medical Sciences, Henan University, Kaifeng, 475004, China
- Department of Biochemistry and Molecular Biology, Cell Signal Transduction Laboratory, School of Basic Medical Sciences, Henan University, Jinming Street, Kaifeng, 475004, Henan, China
- Henan Provincial Engineering Center for Tumor Molecular Medicine, Kaifeng Key Laboratory of Cell Signal Transduction, Kaifeng, 475004, China
| | - Na Fang
- School of Basic Medical Sciences, Henan University, Kaifeng, 475004, China.
- Department of Biochemistry and Molecular Biology, Cell Signal Transduction Laboratory, School of Basic Medical Sciences, Henan University, Jinming Street, Kaifeng, 475004, Henan, China.
- Henan Provincial Engineering Center for Tumor Molecular Medicine, Kaifeng Key Laboratory of Cell Signal Transduction, Kaifeng, 475004, China.
| | - Shaoping Ji
- School of Basic Medical Sciences, Henan University, Kaifeng, 475004, China.
- Department of Biochemistry and Molecular Biology, Cell Signal Transduction Laboratory, School of Basic Medical Sciences, Henan University, Jinming Street, Kaifeng, 475004, Henan, China.
- Henan Provincial Engineering Center for Tumor Molecular Medicine, Kaifeng Key Laboratory of Cell Signal Transduction, Kaifeng, 475004, China.
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6
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Glud EN, Rasmussen M, Zhang Y, Mandrup OA, Salachan PV, Borre M, Sørensen KD, Howard KA. Identification of a high-risk immunogenic prostate cancer patient subset as candidates for T-cell engager immunotherapy and the introduction of a novel albumin-fused anti-CD3 × anti-PSMA bispecific design. Br J Cancer 2022; 127:2186-2197. [PMID: 36243890 PMCID: PMC9727128 DOI: 10.1038/s41416-022-01994-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Revised: 09/14/2022] [Accepted: 09/16/2022] [Indexed: 01/29/2023] Open
Abstract
BACKGROUND Cancer immunotherapies such as bispecific T-cell engagers have seen limited adoption in prostate cancer (PC), possibly due to differing levels of cancer receptor expression and effector T-cell infiltration between patients and inherent defects in T-cell engager design. METHODS CD8+ T-cell infiltration and PSMA expression were determined by RNA sequencing of primary PC tissue samples from 126 patients with localised PC and 17 patients with metastatic PC. Prognostic value was assessed through clinical parameters, including CAPRA-S risk score. A panel of albumin-fused anti-CD3 × anti-PSMA T-cell engagers with different neonatal Fc receptor (FcRn) affinity were characterised by flow cytometry, Bio-Layer Interferometry and functional cellular assays. RESULTS A subset of patients with localised (30/126 = 24%) and metastatic (10/17 = 59%) PC showed both high PSMA expression and high CD8+ T-cell enrichment. The High/High phenotype in localised PC associated with a clinically high-risk cancer subtype, confirmed in an external patient cohort (n = 550, PRAD/TCGA). The T-cell engagers exhibited tunable FcRn-driven cellular recycling, CD3 and PSMA cellular engagement, T-cell activation and PSMA level-dependent cellular cytotoxicity. CONCLUSION This work presents an albumin-fused bispecific T-cell engager with programmable FcRn engagement and identifies a high-risk PC patient subset as candidates for treatment with the T-cell engager class of immuno-oncology biologics.
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Affiliation(s)
- Eske N. Glud
- grid.7048.b0000 0001 1956 2722Interdisciplinary Nanoscience Center (iNANO), Department of Molecular Biology and Genetics, Aarhus University, 8000 Aarhus, Denmark
| | - Martin Rasmussen
- grid.7048.b0000 0001 1956 2722Department of Molecular Medicine, Aarhus University Hospital & Department of Clinical Medicine, Aarhus University, 8200 Aarhus, Denmark
| | - Yonghui Zhang
- grid.7048.b0000 0001 1956 2722Interdisciplinary Nanoscience Center (iNANO), Department of Molecular Biology and Genetics, Aarhus University, 8000 Aarhus, Denmark
| | - Ole A. Mandrup
- grid.7048.b0000 0001 1956 2722Interdisciplinary Nanoscience Center (iNANO), Department of Molecular Biology and Genetics, Aarhus University, 8000 Aarhus, Denmark
| | - Paul Vinu Salachan
- grid.7048.b0000 0001 1956 2722Department of Molecular Medicine, Aarhus University Hospital & Department of Clinical Medicine, Aarhus University, 8200 Aarhus, Denmark
| | - Michael Borre
- grid.7048.b0000 0001 1956 2722Department of Urology, Aarhus University Hospital & Department of Clinical Medicine, Aarhus University, 8200 Aarhus, Denmark
| | - Karina Dalsgaard Sørensen
- grid.7048.b0000 0001 1956 2722Department of Molecular Medicine, Aarhus University Hospital & Department of Clinical Medicine, Aarhus University, 8200 Aarhus, Denmark
| | - Kenneth A. Howard
- grid.7048.b0000 0001 1956 2722Interdisciplinary Nanoscience Center (iNANO), Department of Molecular Biology and Genetics, Aarhus University, 8000 Aarhus, Denmark
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7
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Genomic Landscape Alterations in Primary Tumor and Matched Lymph Node Metastasis in Hormone-Naïve Prostate Cancer Patients. Cancers (Basel) 2022; 14:cancers14174212. [PMID: 36077746 PMCID: PMC9454441 DOI: 10.3390/cancers14174212] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Revised: 08/25/2022] [Accepted: 08/29/2022] [Indexed: 11/16/2022] Open
Abstract
Background: Prostate cancer (PCa) is a disease with a wide range of clinical manifestations. Up to the present date, the genetic understanding of patients with favorable or unfavorable prognosis is gaining interest for giving the appropriate tailored treatment. We aimed to investigate genetic changes associated with lymph node metastasis in a cohort of hormone-naïve Pca patients. Methods: We retrospectively analyzed data from 470 patients who underwent surgery for PCa between 2010 and 2020 at the Department of Urology, University of Catania. Inclusion criteria were patients with lymph node metastasis and patients with PCa with extra capsular extension (pT3) and negative lymph node metastasis. The final cohort consisted of 17 different patients (11 PCa with lymph node metastasis and 6 PCa without lymph node metastasis). Through the cBioPortal online tool, we analyzed gene alterations and their correlations with clinical factors. Results: A total of 688 intronic, synonym and nonsynonym mutations were sequenced. The gene with the most sequenced mutations was ERBB4 (83 mutations, 12% of 688 total), while the ones with the lower percentage of mutations were AKT1, FGFR2 and MLH1 (1 mutation alone, 0.14%). Conclusion: In the present study we found mostly concordance concerning the ERBB4 mutation between both primary PCa samples and matched lymph node metastasis, underlining that the identification of alterations in the primary tumor is extremely important for cancer prognosis prediction.
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8
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Cyrta J, Prandi D, Arora A, Hovelson DH, Sboner A, Rodriguez A, Fedrizzi T, Beltran H, Robinson DR, Gopalan A, True L, Nelson PS, Robinson BD, Mosquera JM, Tomlins SA, Shen R, Demichelis F, Rubin MA. Comparative genomics of primary prostate cancer and paired metastases: insights from 12 molecular case studies. J Pathol 2022; 257:274-284. [PMID: 35220606 PMCID: PMC9311708 DOI: 10.1002/path.5887] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Revised: 02/09/2022] [Accepted: 02/23/2022] [Indexed: 11/25/2022]
Abstract
Primary prostate cancer (PCa) can show marked molecular heterogeneity. However, systematic analyses comparing primary PCa and matched metastases in individual patients are lacking. We aimed to address the molecular aspects of metastatic progression while accounting for the heterogeneity of primary PCa. In this pilot study, we collected 12 radical prostatectomy (RP) specimens from men who subsequently developed metastatic castration‐resistant prostate cancer (mCRPC). We used histomorphology (Gleason grade, focus size, stage) and immunohistochemistry (IHC) (ERG and p53) to identify independent tumors and/or distinct subclones of primary PCa. We then compared molecular profiles of these primary PCa areas to matched metastatic samples using whole‐exome sequencing (WES) and amplicon‐based DNA and RNA sequencing. Based on combined pathology and molecular analysis, seven (58%) RP specimens harbored monoclonal and topographically continuous disease, albeit with some degree of intratumor heterogeneity; four (33%) specimens showed true multifocal disease; and one displayed monoclonal disease with discontinuous topography. Early (truncal) events in primary PCa included SPOP p.F133V (one patient), BRAF p.K601E (one patient), and TMPRSS2:ETS rearrangements (eight patients). Activating AR alterations were seen in nine (75%) mCRPC patients, but not in matched primary PCa. Hotspot TP53 mutations, found in metastases from three patients, were readily present in matched primary disease. Alterations in genes encoding epigenetic modifiers were observed in several patients (either shared between primary foci and metastases or in metastatic samples only). WES‐based phylogenetic reconstruction and/or clonality scores were consistent with the index focus designated by pathology review in six out of nine (67%) cases. The three instances of discordance pertained to monoclonal, topographically continuous tumors, which would have been considered as unique disease in routine practice. Overall, our results emphasize pathologic and molecular heterogeneity of primary PCa, and suggest that comprehensive IHC‐assisted pathology review and genomic analysis are highly concordant in nominating the ‘index’ primary PCa area. © 2022 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.
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Affiliation(s)
- Joanna Cyrta
- Department of Pathology and Laboratory Medicine Weill Cornell Medicine New York NY USA
- Englander Institute for Precision Medicine Weill Cornell Medicine New York NY USA
- Department for BioMedical Research University of Bern Bern Switzerland
| | - Davide Prandi
- Department of Cellular Computational and Integrative Biology, University of Trento Trento Italy
| | - Arshi Arora
- Department of Epidemiology and Biostatistics Memorial Sloan‐Kettering Cancer Center New York NY USA
| | - Daniel H. Hovelson
- Center for Computational Medicine and Bioinformatics Univ. Michigan Ann Arbor MA USA
| | - Andrea Sboner
- Englander Institute for Precision Medicine Weill Cornell Medicine New York NY USA
- HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine Weill Cornell Medicine New York NY USA
| | - Antonio Rodriguez
- Department for BioMedical Research University of Bern Bern Switzerland
- Institute of Pathology University of Bern Bern Switzerland
| | - Tarcisio Fedrizzi
- Department of Epidemiology and Biostatistics Memorial Sloan‐Kettering Cancer Center New York NY USA
| | - Himisha Beltran
- Department of Medicine Division of Medical Oncology, Weill Cornell Medicine New York NY USA
- Department of Medical Oncology Dana Farber Cancer Institute Boston MA USA
| | - Dan R. Robinson
- Department of Pathology University of Michigan Ann Arbor MI USA
| | - Anurandha Gopalan
- Department of Pathology Memorial Sloan Kettering Cancer Center New York NY USA
| | - Lawrence True
- Department of Pathology Univ. of Washington Seattle WA USA
| | | | - Brian D. Robinson
- Department of Pathology and Laboratory Medicine Weill Cornell Medicine New York NY USA
- Englander Institute for Precision Medicine Weill Cornell Medicine New York NY USA
| | - Juan Miguel Mosquera
- Department of Pathology and Laboratory Medicine Weill Cornell Medicine New York NY USA
- Englander Institute for Precision Medicine Weill Cornell Medicine New York NY USA
| | | | - Ronglai Shen
- Department of Epidemiology and Biostatistics Memorial Sloan‐Kettering Cancer Center New York NY USA
| | - Francesca Demichelis
- Englander Institute for Precision Medicine Weill Cornell Medicine New York NY USA
- Department of Cellular Computational and Integrative Biology, University of Trento Trento Italy
| | - Mark A. Rubin
- Department of Pathology and Laboratory Medicine Weill Cornell Medicine New York NY USA
- Englander Institute for Precision Medicine Weill Cornell Medicine New York NY USA
- Department for BioMedical Research University of Bern Bern Switzerland
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9
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Van der Eecken K, Vanwelkenhuyzen J, Deek MP, Tran PT, Warner E, Wyatt AW, Kwan EM, Verbeke S, Van Dorpe J, Fonteyne V, Lumen N, De Laere B, Ost P. Tissue- and Blood-derived Genomic Biomarkers for Metastatic Hormone-sensitive Prostate Cancer: A Systematic Review. Eur Urol Oncol 2021; 4:914-923. [PMID: 34801437 DOI: 10.1016/j.euo.2021.10.005] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Revised: 08/16/2021] [Accepted: 10/11/2021] [Indexed: 12/23/2022]
Abstract
CONTEXT Multiple studies have reported on the genomic characteristics of metastatic hormone-sensitive prostate cancer (mHSPC). The impact of these findings on prognostication, treatment selection, and clinical trial design remains unclear. OBJECTIVE To summarise genomic alteration prevalences in liquid and/or tissue biopsies, infer their clinical implications, and compare genomic alteration frequencies across different disease states and clinical phenotypes. EVIDENCE ACQUISITION The PubMed and Web of Knowledge databases were systematically searched up to January 2021. Quality assessment was performed using the Joanna Briggs Institute Critical Appraisal tools. EVIDENCE SYNTHESIS In total, 11 studies encompassing 1682 mHSPC patients were included. High-volume disease was associated with more frequent alterations in TP53, DNA damage repair, and Wnt pathways. Tumours from patients with de novo mHSPC were enriched for alterations in TP53 and CDK12 compared with recurrent disease. Alterations in AR, TP53, cell cycle signalling, and MYC were associated with a poorer clinical outcome. A comparative analysis of gene alteration frequencies across disease states revealed a relative increase from localised to castration-resistant tumours, with noteworthy enrichment of CTNNB1 alterations in mHSPC (5%), which warrants further investigation. This study was limited by variability in methodology and definitions used among the eligible studies, including differences in sequencing methods, analytes (being either tissue or liquid), alteration calling thresholds, and target patient populations with a relative under-representation of recurrent metastatic disease. CONCLUSIONS Several genomic alterations are associated with differential prognosis and clinical phenotypes in mHSPC. We urge that emerging data on these potential predictive biomarkers must be validated in biomarker-driven randomised controlled trials before any clinical implementation. Alignment of the assay methodology and reporting will be critical for ensuring rapid scalability. PATIENT SUMMARY We reviewed current data on genomic alterations of metastatic hormone-sensitive prostate cancer, and summarised key genomic subtypes that associate with specific clinical phenotypes and treatment outcomes.
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Affiliation(s)
- Kim Van der Eecken
- Department of Pathology, Ghent University Hospital, Ghent, Belgium; Cancer Research Institute (CRIG), Ghent, Belgium; Department of Human Structure and Repair, Ghent University, Belgium.
| | - Jan Vanwelkenhuyzen
- Cancer Research Institute (CRIG), Ghent, Belgium; Department of Human Structure and Repair, Ghent University, Belgium; Center for Medical Genetics, Department of Biomolecular Medicine, Ghent University Hospital, Ghent, Belgium
| | - Matthew P Deek
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Phuoc T Tran
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Evan Warner
- Vancouver Prostate Centre, Department of Urologic Sciences, University of British Columbia, Vancouver, British Columbia, Canada
| | - Alexander W Wyatt
- Vancouver Prostate Centre, Department of Urologic Sciences, University of British Columbia, Vancouver, British Columbia, Canada; Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, British Columbia, Canada
| | - Edmond M Kwan
- Department of Medicine, School of Clinical Sciences, Monash University, Melbourne, Australia; Department of Medical Oncology, Monash Health, Melbourne, Australia
| | - Sofie Verbeke
- Department of Pathology, Ghent University Hospital, Ghent, Belgium; Cancer Research Institute (CRIG), Ghent, Belgium
| | - Jo Van Dorpe
- Department of Pathology, Ghent University Hospital, Ghent, Belgium; Cancer Research Institute (CRIG), Ghent, Belgium
| | - Valérie Fonteyne
- Cancer Research Institute (CRIG), Ghent, Belgium; Department of Human Structure and Repair, Ghent University, Belgium; Department of Radiation Oncology, Ghent University Hospital, Ghent, Belgium
| | - Nicolaas Lumen
- Cancer Research Institute (CRIG), Ghent, Belgium; Department of Human Structure and Repair, Ghent University, Belgium; Department of Urology, Ghent University Hospital, Ghent, Belgium
| | - Bram De Laere
- Cancer Research Institute (CRIG), Ghent, Belgium; Department of Human Structure and Repair, Ghent University, Belgium; Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
| | - Piet Ost
- Cancer Research Institute (CRIG), Ghent, Belgium; Department of Human Structure and Repair, Ghent University, Belgium; Department of Radiation Oncology, Iridiumnetwerk, Antwerp, Belgium
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10
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Samaržija I. Site-Specific and Common Prostate Cancer Metastasis Genes as Suggested by Meta-Analysis of Gene Expression Data. Life (Basel) 2021; 11:life11070636. [PMID: 34209195 PMCID: PMC8304581 DOI: 10.3390/life11070636] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2021] [Revised: 06/19/2021] [Accepted: 06/28/2021] [Indexed: 12/12/2022] Open
Abstract
Anticancer therapies mainly target primary tumor growth and little attention is given to the events driving metastasis formation. Metastatic prostate cancer, in comparison to localized disease, has a much worse prognosis. In the work presented here, groups of genes that are common to prostate cancer metastatic cells from bones, lymph nodes, and liver and those that are site-specific were delineated. The purpose of the study was to dissect potential markers and targets of anticancer therapies considering the common characteristics and differences in transcriptional programs of metastatic cells from different secondary sites. To that end, a meta-analysis of gene expression data of prostate cancer datasets from the GEO database was conducted. Genes with differential expression in all metastatic sites analyzed belong to the class of filaments, focal adhesion, and androgen receptor signaling. Bone metastases undergo the largest transcriptional changes that are highly enriched for the term of the chemokine signaling pathway, while lymph node metastasis show perturbation in signaling cascades. Liver metastases change the expression of genes in a way that is reminiscent of processes that take place in the target organ. Survival analysis for the common hub genes revealed involvements in prostate cancer prognosis and suggested potential biomarkers.
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Affiliation(s)
- Ivana Samaržija
- Laboratory for Epigenomics, Division of Molecular Medicine, Ruđer Bošković Institute, Bijenička 54, 10000 Zagreb, Croatia;
- Laboratory for Cell Biology and Signalling, Division of Molecular Biology, Ruđer Bošković Institute, Bijenička 54, 10000 Zagreb, Croatia
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11
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Haldrup J, Strand SH, Cieza-Borrella C, Jakobsson ME, Riedel M, Norgaard M, Hedensted S, Dagnaes-Hansen F, Ulhoi BP, Eeles R, Borre M, Olsen JV, Thomsen M, Kote-Jarai Z, Sorensen KD. FRMD6 has tumor suppressor functions in prostate cancer. Oncogene 2020; 40:763-776. [PMID: 33249427 DOI: 10.1038/s41388-020-01548-w] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2020] [Revised: 10/07/2020] [Accepted: 10/28/2020] [Indexed: 12/14/2022]
Abstract
Available tools for prostate cancer (PC) prognosis are suboptimal but may be improved by better knowledge about genes driving tumor aggressiveness. Here, we identified FRMD6 (FERM domain-containing protein 6) as an aberrantly hypermethylated and significantly downregulated gene in PC. Low FRMD6 expression was associated with postoperative biochemical recurrence in two large PC patient cohorts. In overexpression and CRISPR/Cas9 knockout experiments in PC cell lines, FRMD6 inhibited viability, proliferation, cell cycle progression, colony formation, 3D spheroid growth, and tumor xenograft growth in mice. Transcriptomic, proteomic, and phospho-proteomic profiling revealed enrichment of Hippo/YAP and c-MYC signaling upon FRMD6 knockout. Connectivity Map analysis and drug repurposing experiments identified pyroxamide as a new potential therapy for FRMD6 deficient PC cells. Finally, we established orthotropic Frmd6 and Pten, or Pten only (control) knockout in the ROSA26 mouse prostate. After 12 weeks, Frmd6/Pten double knockouts presented high-grade prostatic intraepithelial neoplasia (HG-PIN) and hyperproliferation, while Pten single-knockouts developed only regular PIN lesions and displayed lower proliferation. In conclusion, FRMD6 was identified as a novel tumor suppressor gene and prognostic biomarker candidate in PC.
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Affiliation(s)
- Jakob Haldrup
- Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.,Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Siri H Strand
- Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.,Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Clara Cieza-Borrella
- Oncogenetics, Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Magnus E Jakobsson
- Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark.,Department of Immunotechnology, Lund University, Medicon Village, 22100, Lund, Sweden
| | - Maria Riedel
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Maibritt Norgaard
- Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.,Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Stine Hedensted
- Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.,Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | | | | | - Rosalind Eeles
- Oncogenetics, Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK.,The Institute of Cancer Research and Royal Marsden NHS Foundation Trust, London, UK
| | - Michael Borre
- Dept. of Urology, Aarhus University Hospital, Aarhus, Denmark
| | - Jesper V Olsen
- Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark
| | - Martin Thomsen
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
| | - Zsofia Kote-Jarai
- Oncogenetics, Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Karina D Sorensen
- Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark. .,Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
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12
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Opitz CA, Somarribas Patterson LF, Mohapatra SR, Dewi DL, Sadik A, Platten M, Trump S. The therapeutic potential of targeting tryptophan catabolism in cancer. Br J Cancer 2020; 122:30-44. [PMID: 31819194 PMCID: PMC6964670 DOI: 10.1038/s41416-019-0664-6] [Citation(s) in RCA: 157] [Impact Index Per Article: 39.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2019] [Revised: 10/31/2019] [Accepted: 11/06/2019] [Indexed: 12/19/2022] Open
Abstract
Based on its effects on both tumour cell intrinsic malignant properties as well as anti-tumour immune responses, tryptophan catabolism has emerged as an important metabolic regulator of cancer progression. Three enzymes, indoleamine-2,3-dioxygenase 1 and 2 (IDO1/2) and tryptophan-2,3-dioxygenase (TDO2), catalyse the first step of the degradation of the essential amino acid tryptophan (Trp) to kynurenine (Kyn). The notion of inhibiting IDO1 using small-molecule inhibitors elicited high hopes of a positive impact in the field of immuno-oncology, by restoring anti-tumour immune responses and synergising with other immunotherapies such as immune checkpoint inhibition. However, clinical trials with IDO1 inhibitors have yielded disappointing results, hence raising many questions. This review will discuss strategies to target Trp-degrading enzymes and possible down-stream consequences of their inhibition. We aim to provide comprehensive background information on Trp catabolic enzymes as targets in immuno-oncology and their current state of development. Details of the clinical trials with IDO1 inhibitors, including patient stratification, possible effects of the inhibitors themselves, effects of pre-treatments and the therapies the inhibitors were combined with, are discussed and mechanisms proposed that might have compensated for IDO1 inhibition. Finally, alternative approaches are suggested to circumvent these problems.
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Affiliation(s)
- Christiane A Opitz
- DKTK Brain Cancer Metabolism Group, German Cancer Research Center (DKFZ), Heidelberg, Germany.
- Neurology Clinic and National Center for Tumor Diseases, University Hospital of Heidelberg, Heidelberg, Germany.
| | - Luis F Somarribas Patterson
- DKTK Brain Cancer Metabolism Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Faculty of Biosciences, Heidelberg University, Heidelberg, Germany
| | - Soumya R Mohapatra
- DKTK Brain Cancer Metabolism Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Dyah L Dewi
- DKTK Brain Cancer Metabolism Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Surgical Oncology, Department of Surgery - Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada/Dr Sardjito Hospital, Yogyakarta, 55281, Indonesia
| | - Ahmed Sadik
- DKTK Brain Cancer Metabolism Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Faculty of Biosciences, Heidelberg University, Heidelberg, Germany
| | - Michael Platten
- DKTK Clinical Cooperation Unit Neuroimmunology and Brain Tumor Immunology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Neurology, University of Heidelberg, Medical Faculty Mannheim, Mannheim, Germany
| | - Saskia Trump
- Charité - Universitätsmedizin Berlin and Berlin Institute of Health, Unit for Molecular Epidemiology, Berlin, Germany
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