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Olislagers M, de Jong FC, Rutten VC, Boormans JL, Mahmoudi T, Zuiverloon TCM. Molecular biomarkers of progression in non-muscle-invasive bladder cancer - beyond conventional risk stratification. Nat Rev Urol 2024:10.1038/s41585-024-00914-7. [PMID: 39095581 DOI: 10.1038/s41585-024-00914-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/21/2024] [Indexed: 08/04/2024]
Abstract
The global incidence of bladder cancer is more than half a million diagnoses each year. Bladder cancer can be categorized into non-muscle-invasive bladder cancer (NMIBC), which accounts for ~75% of diagnoses, and muscle-invasive bladder cancer (MIBC). Up to 45% of patients with NMIBC develop disease progression to MIBC, which is associated with a poor outcome, highlighting a clinical need to identify these patients. Current risk stratification has a prognostic value, but relies solely on clinicopathological parameters that might not fully capture the complexity of disease progression. Molecular research has led to identification of multiple crucial players involved in NMIBC progression. Identified biomarkers of progression are related to cell cycle, MAPK pathways, apoptosis, tumour microenvironment, chromatin stability and DNA-damage response. However, none of these biomarkers has been prospectively validated. Reported gene signatures of progression do not improve NMIBC risk stratification. Molecular subtypes of NMIBC have improved our understanding of NMIBC progression, but these subtypes are currently unsuitable for clinical implementation owing to a lack of prospective validation, limited predictive value as a result of intratumour subtype heterogeneity, technical challenges, costs and turnaround time. Future steps include the development of consensus molecular NMIBC subtypes that might improve conventional clinicopathological risk stratification. Prospective implementation studies of biomarkers and the design of biomarker-guided clinical trials are required for the integration of molecular biomarkers into clinical practice.
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Affiliation(s)
- Mitchell Olislagers
- Department of Urology, Erasmus University Medical Center, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Florus C de Jong
- Department of Urology, Erasmus University Medical Center, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Vera C Rutten
- Department of Urology, Erasmus University Medical Center, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Joost L Boormans
- Department of Urology, Erasmus University Medical Center, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Tokameh Mahmoudi
- Department of Urology, Erasmus University Medical Center, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
- Department of Pathology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Tahlita C M Zuiverloon
- Department of Urology, Erasmus University Medical Center, Erasmus MC Cancer Institute, Rotterdam, the Netherlands.
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2
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Dong Q, Wang D, Song C, Gong C, Liu Y, Zhou X, Yue J, Hu Y, Liu H, Zhu L, Niu X, Zheng T, Zhang X, Jin J, Wang T, Ju R, Wang C, Jiang Q, Gao T, Jin Y, Li P, Wang Y, Zhang C, Wang GF, Cao C, Liu X. ABL1-mediated phosphorylation promotes FOXM1-related tumorigenicity by Increasing FOXM1 stability. Cell Death Differ 2024:10.1038/s41418-024-01339-w. [PMID: 39060421 DOI: 10.1038/s41418-024-01339-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 06/20/2024] [Accepted: 07/01/2024] [Indexed: 07/28/2024] Open
Abstract
The transcription factor FOXM1, which plays critical roles in cell cycle progression and tumorigenesis, is highly expressed in rapidly proliferating cells and various tumor tissues, and high FOXM1 expression is related to a poor prognosis. However, the mechanism responsible for FOXM1 dysregulation is not fully understood. Here, we show that ABL1, a nonreceptor tyrosine kinase, contributes to the high expression of FOXM1 and FOXM1-dependent tumor development. Mechanistically, ABL1 directly binds FOXM1 and mediates FOXM1 phosphorylation at multiple tyrosine (Y) residues. Among these phospho-Y sites, pY575 is indispensable for FOXM1 stability as phosphorylation at this site protects FOXM1 from ubiquitin-proteasomal degradation. The interaction of FOXM1 with CDH1, a coactivator of the E3 ubiquitin ligase anaphase-promoting complex/cyclosome (APC/C), which is responsible for FOXM1 degradation, is significantly inhibited by Y575 phosphorylation. The phospho-deficient FOXM1(Y575F) mutant exhibited increased ubiquitination, a shortened half-life, and consequently a substantially decreased abundance. Compared to wild-type cells, a homozygous Cr-Y575F cell line expressing endogenous FOXM1(Y575F) that was generated by CRISPR/Cas9 showed obviously delayed mitosis progression, impeded colony formation and inhibited xenotransplanted tumor growth. Overall, our study demonstrates that ABL1 kinase is involved in high FOXM1 expression, providing clear evidence that ABL1 may act as a therapeutic target for the treatment of tumors with high FOXM1 expression.
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Affiliation(s)
- Qincai Dong
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Biotechnology, 100850, Beijing, China
| | - Di Wang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Biotechnology, 100850, Beijing, China
| | - Caiwei Song
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Biotechnology, 100850, Beijing, China
| | - Chunxue Gong
- Institute of Health Sciences, Anhui University, Hefei, 230601, China
| | - Yue Liu
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Biotechnology, 100850, Beijing, China
| | - Xinwei Zhou
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Biotechnology, 100850, Beijing, China
| | - Junjie Yue
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Biotechnology, 100850, Beijing, China
| | - Yong Hu
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Biotechnology, 100850, Beijing, China
| | - Hainan Liu
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Biotechnology, 100850, Beijing, China
| | - Lin Zhu
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Biotechnology, 100850, Beijing, China
| | - Xiayang Niu
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Biotechnology, 100850, Beijing, China
| | - Tong Zheng
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Biotechnology, 100850, Beijing, China
| | - Xun Zhang
- Institute of Health Sciences, Anhui University, Hefei, 230601, China
| | - Jing Jin
- Institute of Health Sciences, Anhui University, Hefei, 230601, China
| | - Tingting Wang
- Institute of Health Sciences, Anhui University, Hefei, 230601, China
| | - Ruixia Ju
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Biotechnology, 100850, Beijing, China
| | - Chen Wang
- Institute of Health Sciences, Anhui University, Hefei, 230601, China
| | - Qian Jiang
- Institute of Health Sciences, Anhui University, Hefei, 230601, China
| | - Ting Gao
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Biotechnology, 100850, Beijing, China
| | - Yanwen Jin
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Biotechnology, 100850, Beijing, China
| | - Ping Li
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Biotechnology, 100850, Beijing, China
| | - Yan Wang
- Clinical Biobank Center, Medical Innovation Research Division, Chinese PLA General Hospital, 100853, Beijing, China
| | - Chunmei Zhang
- Shanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, 200241, China
| | - Guang-Fei Wang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Biotechnology, 100850, Beijing, China.
| | - Cheng Cao
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Biotechnology, 100850, Beijing, China.
| | - Xuan Liu
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Biotechnology, 100850, Beijing, China.
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3
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Wen HJ, Zhu SY, Yang HG, Guo FY. Investigation on the molecular mechanism of SPA interference with osteogenic differentiation of bone marrow mesenchymal stem cells. Sci Rep 2024; 14:15600. [PMID: 38971916 PMCID: PMC11227578 DOI: 10.1038/s41598-024-66502-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Accepted: 07/02/2024] [Indexed: 07/08/2024] Open
Abstract
Binding of Staphylococcus aureus protein A (SPA) to osteoblasts induces apoptosis and inhibits bone formation. Bone marrow-derived mesenchymal stem cells (BMSCs) have the ability to differentiate into bone, fat and cartilage. Therefore, it was important to analyze the molecular mechanism of SPA on osteogenic differentiation. We introduced transcript sequence data to screen out differentially expressed genes (DEGs) related to SPA-interfered BMSC. Protein-protein interaction (PPI) network of DEGs was established to screen biomarkers associated with SPA-interfered BMSC. Receiver operating characteristic (ROC) curve was plotted to evaluate the ability of biomarkers to discriminate between two groups of samples. Finally, we performed GSEA and regulatory analysis based on biomarkers. We identified 321 DEGs. Subsequently, 6 biomarkers (Cenpf, Kntc1, Nek2, Asf1b, Troap and Kif14) were identified by hubba algorithm in PPI. ROC analysis showed that six biomarkers could clearly discriminate between normal differentiated and SPA-interfered BMSC. Moreover, we found that these biomarkers were mainly enriched in the pyrimidine metabolism pathway. We also constructed '71 circRNAs-14 miRNAs-5 mRNAs' and '10 lncRNAs-5 miRNAs-2 mRNAs' networks. Kntc1 and Asf1b genes were associated with rno-miR-3571. Nek2 and Asf1b genes were associated with rno-miR-497-5p. Finally, we found significantly lower expression of six biomarkers in the SPA-interfered group compared to the normal group by RT-qPCR. Overall, we obtained 6 biomarkers (Cenpf, Kntc1, Nek2, Asf1b, Troap, and Kif14) related to SPA-interfered BMSC, which provided a theoretical basis to explore the key factors of SPA affecting osteogenic differentiation.
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Affiliation(s)
- Hong-Jie Wen
- Department of Orthopaedic and Trauma, The Affiliated Hospital of Yunnan University, Kunming, China
- Department of Orthopaedic and Trauma, The Second People's Hospital of Yunnan Province, Kunming, China
| | - Shou-Yan Zhu
- Department of Orthopaedic and Trauma, The Affiliated Hospital of Yunnan University, Kunming, China
- Department of Orthopaedic and Trauma, The Second People's Hospital of Yunnan Province, Kunming, China
| | - Hua-Gang Yang
- Department of Orthopaedic and Trauma, The Affiliated Hospital of Yunnan University, Kunming, China
- Department of Orthopaedic and Trauma, The Second People's Hospital of Yunnan Province, Kunming, China
| | - Feng-Yong Guo
- Department of Orthopaedic and Trauma, The Affiliated Hospital of Yunnan University, Kunming, China.
- Department of Orthopaedic and Trauma, The Second People's Hospital of Yunnan Province, Kunming, China.
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4
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Hu LZ, Douglass E, Turunen M, Pampou S, Grunn A, Realubit R, Antolin AA, Wang ALE, Li H, Subramaniam P, Mundi PS, Karan C, Alvarez M, Califano A. Elucidating Compound Mechanism of Action and Polypharmacology with a Large-scale Perturbational Profile Compendium. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.10.08.561457. [PMID: 37873470 PMCID: PMC10592689 DOI: 10.1101/2023.10.08.561457] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/25/2023]
Abstract
The Mechanism of Action (MoA) of a drug is generally represented as a small, non-tissue-specific repertoire of high-affinity binding targets. Yet, drug activity and polypharmacology are increasingly associated with a broad range of off-target and tissue-specific effector proteins. To address this challenge, we have leveraged a microfluidics-based Plate-Seq technology to survey drug perturbational profiles representing >700 FDA-approved and experimental oncology drugs, in cell lines selected as high-fidelity models of 23 aggressive tumor subtypes. Built on this dataset, we implemented an efficient computational framework to define a tissue-specific protein activity landscape of these drugs and reported almost 50 million differential protein activities derived from drug perturbations vs. vehicle controls. These analyses revealed thousands of highly reproducible and novel, drug-mediated modulation of tissue-specific targets, leading to generation of a proteome-wide drug functional network, characterization of MoA-related drug clusters and off-target effects, dramatical expansion of druggable human proteome, and identification and experimental validation of novel, tissue-specific inhibitors of undruggable oncoproteins, most never reported before. The drug perturbation profile resource described here represents the first, large-scale, whole-genome-wide, RNA-Seq based dataset assembled to date, with the proposed framework, which is easily extended to elucidating the MoA of novel small-molecule libraries, facilitates mechanistic exploration of drug functions, supports systematic and quantitative approaches to precision oncology, and serves as a rich data foundation for drug discovery.
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5
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Maurer HC, Garcia-Curiel A, Holmstrom SR, Castillo C, Palermo CF, Sastra SA, Andren A, Zhang L, Le Large TYS, Sagalovskiy I, Ross DR, Wong W, Shaw K, Genkinger J, Manji GA, Iuga AC, Schmid RM, Johnson K, Badgley MA, Lyssiotis CA, Shah Y, Califano A, Olive KP. Ras-dependent activation of BMAL2 regulates hypoxic metabolism in pancreatic cancer. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.03.19.533333. [PMID: 36993718 PMCID: PMC10055246 DOI: 10.1101/2023.03.19.533333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/31/2023]
Abstract
To identify drivers of malignancy in human pancreatic ductal adenocarcinoma (PDAC), we performed regulatory network analysis on a large collection of expression profiles from laser capture microdissected samples of PDAC and benign precursors. We discovered that BMAL2 plays a role in the initiation, progression, post resection survival, and KRAS activity in PDAC. Functional analysis of BMAL2 target genes led us to hypothesize that it plays a role in regulating the response to hypoxia, a critical but poorly understood feature of PDAC physiology. Knockout of BMAL2 in multiple human PDAC cell lines revealed effects on viability and invasion, particularly under hypoxic conditions. Loss of BMAL2 also affected glycolysis and other metabolic processes. We found that BMAL2 directly regulates hypoxia-responsive target genes. We also found that BMAL2 is necessary for the stabilization of HIF1A upon exposure to hypoxia, but destabilizes HIF2A under hypoxia. These data demonstrate that BMAL2 is a master transcriptional regulator of hypoxia responses in PDAC and may serve as a long-sought molecular switch that distinguishes HIF1A- and HIF2A-dependent modes of hypoxic metabolism.
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Affiliation(s)
- H Carlo Maurer
- Department of Internal Medicine II, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY
- Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY
| | - Alvaro Garcia-Curiel
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY
- Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY
- Columbia University Digestive and Liver Disease Research Center, Columbia University Irving Medical Center, New York, NY
| | - Sam R Holmstrom
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX
| | - Cristina Castillo
- Department of Molecular & Integrative Physiology and Internal Medicine, Division of Gastroenterology, University of Michigan, Ann Arbor, MI
- University of Michigan Rogel Cancer Center, University of Michigan, Ann Arbor, MI
- Department of Internal Medicine, Division of Gastroenterology and Hepatology, University of Michigan, Ann Arbor, MI
| | - Carmine F Palermo
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY
- Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY
- Columbia University Digestive and Liver Disease Research Center, Columbia University Irving Medical Center, New York, NY
| | - Steven A Sastra
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY
- Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY
- Columbia University Digestive and Liver Disease Research Center, Columbia University Irving Medical Center, New York, NY
| | - Anthony Andren
- Department of Molecular & Integrative Physiology and Internal Medicine, Division of Gastroenterology, University of Michigan, Ann Arbor, MI
- University of Michigan Rogel Cancer Center, University of Michigan, Ann Arbor, MI
- Department of Internal Medicine, Division of Gastroenterology and Hepatology, University of Michigan, Ann Arbor, MI
| | - Li Zhang
- Department of Molecular & Integrative Physiology and Internal Medicine, Division of Gastroenterology, University of Michigan, Ann Arbor, MI
- University of Michigan Rogel Cancer Center, University of Michigan, Ann Arbor, MI
- Department of Internal Medicine, Division of Gastroenterology and Hepatology, University of Michigan, Ann Arbor, MI
| | - Tessa Y S Le Large
- Department of Surgery, Amsterdam UMC, Location Vrije Universiteit, Amsterdam, Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, Netherlands
| | - Irina Sagalovskiy
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY
- Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY
| | - Daniel R Ross
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY
- Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY
- Columbia University Digestive and Liver Disease Research Center, Columbia University Irving Medical Center, New York, NY
| | - Winston Wong
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY
- Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY
| | - Kaitlin Shaw
- Division of GI/Endocrine Surgery, Department of Surgery, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY
| | - Jeanine Genkinger
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY
| | - Gulam A Manji
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY
- Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY
| | - Alina C Iuga
- Department of Pathology, Columbia University Irving Medical Center, New York, NY
| | - Roland M Schmid
- Department of Internal Medicine II, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | | | - Michael A Badgley
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY
- Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY
- Columbia University Digestive and Liver Disease Research Center, Columbia University Irving Medical Center, New York, NY
| | - Costas A Lyssiotis
- Department of Molecular & Integrative Physiology and Internal Medicine, Division of Gastroenterology, University of Michigan, Ann Arbor, MI
- University of Michigan Rogel Cancer Center, University of Michigan, Ann Arbor, MI
- Department of Internal Medicine, Division of Gastroenterology and Hepatology, University of Michigan, Ann Arbor, MI
| | - Yatrik Shah
- Department of Molecular & Integrative Physiology and Internal Medicine, Division of Gastroenterology, University of Michigan, Ann Arbor, MI
- University of Michigan Rogel Cancer Center, University of Michigan, Ann Arbor, MI
- Department of Internal Medicine, Division of Gastroenterology and Hepatology, University of Michigan, Ann Arbor, MI
| | - Andrea Califano
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY
- Department of Systems Biology, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY
- Darwin Therapeutics, New York, NY
- Chan Zuckerberg Biohub, New York, NY
| | - Kenneth P Olive
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY
- Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY
- Columbia University Digestive and Liver Disease Research Center, Columbia University Irving Medical Center, New York, NY
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6
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Roohani Y, Huang K, Leskovec J. Predicting transcriptional outcomes of novel multigene perturbations with GEARS. Nat Biotechnol 2024; 42:927-935. [PMID: 37592036 PMCID: PMC11180609 DOI: 10.1038/s41587-023-01905-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2022] [Accepted: 07/12/2023] [Indexed: 08/19/2023]
Abstract
Understanding cellular responses to genetic perturbation is central to numerous biomedical applications, from identifying genetic interactions involved in cancer to developing methods for regenerative medicine. However, the combinatorial explosion in the number of possible multigene perturbations severely limits experimental interrogation. Here, we present graph-enhanced gene activation and repression simulator (GEARS), a method that integrates deep learning with a knowledge graph of gene-gene relationships to predict transcriptional responses to both single and multigene perturbations using single-cell RNA-sequencing data from perturbational screens. GEARS is able to predict outcomes of perturbing combinations consisting of genes that were never experimentally perturbed. GEARS exhibited 40% higher precision than existing approaches in predicting four distinct genetic interaction subtypes in a combinatorial perturbation screen and identified the strongest interactions twice as well as prior approaches. Overall, GEARS can predict phenotypically distinct effects of multigene perturbations and thus guide the design of perturbational experiments.
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Affiliation(s)
- Yusuf Roohani
- Department of Biomedical Data Science, Stanford University, Stanford, CA, USA
| | - Kexin Huang
- Department of Computer Science, Stanford University, Stanford, CA, USA
| | - Jure Leskovec
- Department of Computer Science, Stanford University, Stanford, CA, USA.
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7
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Taylor MA, Kandyba E, Halliwill K, Delrosario R, Khoroshkin M, Goodarzi H, Quigley D, Li YR, Wu D, Bollam SR, Mirzoeva OK, Akhurst RJ, Balmain A. Stem-cell states converge in multistage cutaneous squamous cell carcinoma development. Science 2024; 384:eadi7453. [PMID: 38815020 DOI: 10.1126/science.adi7453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Accepted: 04/05/2024] [Indexed: 06/01/2024]
Abstract
Stem cells play a critical role in cancer development by contributing to cell heterogeneity, lineage plasticity, and drug resistance. We created gene expression networks from hundreds of mouse tissue samples (both normal and tumor) and integrated these with lineage tracing and single-cell RNA-seq, to identify convergence of cell states in premalignant tumor cells expressing markers of lineage plasticity and drug resistance. Two of these cell states representing multilineage plasticity or proliferation were inversely correlated, suggesting a mutually exclusive relationship. Treatment of carcinomas in vivo with chemotherapy repressed the proliferative state and activated multilineage plasticity whereas inhibition of differentiation repressed plasticity and potentiated responses to cell cycle inhibitors. Manipulation of this cell state transition point may provide a source of potential combinatorial targets for cancer therapy.
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Affiliation(s)
- Mark A Taylor
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA 94158, USA
- Clinical Research Centre, Medical University of Bialystok, Bialystok 15-089, Poland
| | - Eve Kandyba
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA 94158, USA
| | - Kyle Halliwill
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA 94158, USA
- AbbVie, South San Francisco, CA 94080, USA
| | - Reyno Delrosario
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA 94158, USA
| | - Matvei Khoroshkin
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA 94158, USA
| | - Hani Goodarzi
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA 94158, USA
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA 94518, USA
- Department of Urology, University of California San Francisco, San Francisco, CA 94518, USA
- Arc Institute, Palo Alto, CA 94304, USA
| | - David Quigley
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA 94158, USA
- Department of Urology, University of California San Francisco, San Francisco, CA 94518, USA
- Department of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, CA 94518, USA
| | - Yun Rose Li
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA 94158, USA
- Department of Radiation Oncology, City of Hope National Medical Center, Duarte, CA 91010, USA
- Department of Cancer Genetics & Epigenetics, City of Hope National Medical Center, Duarte, CA 91010, USA
- Division of Quantitative Medicine & Systems Biology, Translational Genomics Research Institute, Phoenix, CA 85004, USA
| | - Di Wu
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA 94158, USA
| | - Saumya R Bollam
- Biomedical Sciences Graduate Program, University of California San Francisco, San Francisco, CA 94518, USA
| | - Olga K Mirzoeva
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA 94158, USA
| | - Rosemary J Akhurst
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA 94158, USA
- Department of Anatomy, University of California San Francisco, San Francisco, CA 94518, USA
| | - Allan Balmain
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA 94158, USA
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA 94518, USA
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8
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Khurana S, Varma D, Foltz DR. Contribution of CENP-F to FOXM1-Mediated Discordant Centromere and Kinetochore Transcriptional Regulation. Mol Cell Biol 2024; 44:209-225. [PMID: 38779933 PMCID: PMC11204039 DOI: 10.1080/10985549.2024.2350543] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Accepted: 04/28/2024] [Indexed: 05/25/2024] Open
Abstract
Proper chromosome segregation is required to ensure chromosomal stability. The centromere (CEN) is a unique chromatin domain defined by CENP-A and is responsible for recruiting the kinetochore (KT) during mitosis, ultimately regulating microtubule spindle attachment and mitotic checkpoint function. Upregulation of many CEN/KT genes is commonly observed in cancer. Here, we show that although FOXM1 occupies promoters of many CEN/KT genes with MYBL2, FOXM1 overexpression alone is insufficient to drive the FOXM1-correlated transcriptional program. CENP-F is canonically an outer kinetochore component; however, it functions with FOXM1 to coregulate G2/M transcription and proper chromosome segregation. Loss of CENP-F results in altered chromatin accessibility at G2/M genes and reduced FOXM1-MBB complex formation. We show that coordinated CENP-FFOXM1 transcriptional regulation is a cancer-specific function. We observe a small subset of CEN/KT genes including CENP-C, that are not regulated by FOXM1. Upregulation of CENP-C in the context of CENP-A overexpression leads to increased chromosome missegregation and cell death suggesting that escape of CENP-C from FOXM1 regulation is a cancer survival mechanism. Together, we show that FOXM1 and CENP-F coordinately regulate G2/M genes, and this coordination is specific to a subset of genes to allow for maintenance of chromosome instability levels and subsequent cell survival.
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Affiliation(s)
- Sakshi Khurana
- Department of Biochemistry and Molecular Genetics, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
- Simpson Querrey Institute for Epigenetics, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Dileep Varma
- Simpson Querrey Institute for Epigenetics, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
- Department of Cellular and Developmental Biology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
- Robert H. Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Daniel R. Foltz
- Department of Biochemistry and Molecular Genetics, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
- Simpson Querrey Institute for Epigenetics, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
- Robert H. Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
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9
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Wei G, Zhang X, Liu S, Hou W, Dai Z. Comprehensive data mining reveals RTK/RAS signaling pathway as a promoter of prostate cancer lineage plasticity through transcription factors and CNV. Sci Rep 2024; 14:11688. [PMID: 38778150 PMCID: PMC11111877 DOI: 10.1038/s41598-024-62256-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Accepted: 05/15/2024] [Indexed: 05/25/2024] Open
Abstract
Prostate cancer lineage plasticity is a key driver in the transition to neuroendocrine prostate cancer (NEPC), and the RTK/RAS signaling pathway is a well-established cancer pathway. Nevertheless, the comprehensive link between the RTK/RAS signaling pathway and lineage plasticity has received limited investigation. In particular, the intricate regulatory network governing the interplay between RTK/RAS and lineage plasticity remains largely unexplored. The multi-omics data were clustered with the coefficient of argument and neighbor joining algorithm. Subsequently, the clustered results were analyzed utilizing the GSEA, gene sets related to stemness, multi-lineage state datasets, and canonical cancer pathway gene sets. Finally, a comprehensive exploration of the data based on the ssGSEA, WGCNA, GSEA, VIPER, prostate cancer scRNA-seq data, and the GPSAdb database was conducted. Among the six modules in the clustering results, there are 300 overlapping genes, including 3 previously unreported prostate cancer genes that were validated to be upregulated in prostate cancer through RT-qPCR. Function Module 6 shows a positive correlation with prostate cancer cell stemness, multi-lineage states, and the RTK/RAS signaling pathway. Additionally, the 19 leading-edge genes of the RTK/RAS signaling pathway promote prostate cancer lineage plasticity through a complex network of transcriptional regulation and copy number variations. In the transcriptional regulation network, TP63 and FOXO1 act as suppressors of prostate cancer lineage plasticity, whereas RORC exerts a promoting effect. This study provides a comprehensive perspective on the role of the RTK/RAS pathway in prostate cancer lineage plasticity and offers new clues for the treatment of NEPC.
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Affiliation(s)
- Guanyun Wei
- Co-Innovation Center of Neuroregeneration, School of Life Sciences, Nantong Laboratory of Development and Diseases, Nantong University, Nantong, China
| | - Xu Zhang
- Clinical Medical Research Center, Jiangnan University Medical Center, Wuxi No.2 People's Hospital, Affiliated Wuxi Clinical College of Nantong University, Wuxi, China
| | - Siyuan Liu
- School of Life Sciences, Nantong University, Nantong, China
| | - Wanxin Hou
- Research Center for Intelligent Information Technology, Nantong University, Nantong, China
| | - Zao Dai
- Research Center for Intelligent Information Technology, Nantong University, Nantong, China.
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10
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Fernández EC, Tomassoni L, Zhang X, Wang J, Obradovic A, Laise P, Griffin AT, Vlahos L, Minns HE, Morales DV, Simmons C, Gallitto M, Wei HJ, Martins TJ, Becker PS, Crawford JR, Tzaridis T, Wechsler-Reya RJ, Garvin J, Gartrell RD, Szalontay L, Zacharoulis S, Wu CC, Zhang Z, Califano A, Pavisic J. Elucidation and Pharmacologic Targeting of Master Regulator Dependencies in Coexisting Diffuse Midline Glioma Subpopulations. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.17.585370. [PMID: 38559080 PMCID: PMC10979998 DOI: 10.1101/2024.03.17.585370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Diffuse Midline Gliomas (DMGs) are universally fatal, primarily pediatric malignancies affecting the midline structures of the central nervous system. Despite decades of clinical trials, treatment remains limited to palliative radiation therapy. A major challenge is the coexistence of molecularly distinct malignant cell states with potentially orthogonal drug sensitivities. To address this challenge, we leveraged established network-based methodologies to elucidate Master Regulator (MR) proteins representing mechanistic, non-oncogene dependencies of seven coexisting subpopulations identified by single-cell analysis-whose enrichment in essential genes was validated by pooled CRISPR/Cas9 screens. Perturbational profiles of 372 clinically relevant drugs helped identify those able to invert the activity of subpopulation-specific MRs for follow-up in vivo validation. While individual drugs predicted to target individual subpopulations-including avapritinib, larotrectinib, and ruxolitinib-produced only modest tumor growth reduction in orthotopic models, systemic co-administration induced significant survival extension, making this approach a valuable contribution to the rational design of combination therapy.
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11
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Samare-Najaf M, Kouchaki H, Moein Mahini S, Saberi Rounkian M, Tavakoli Y, Samareh A, Karim Azadbakht M, Jamali N. Prostate cancer: Novel genetic and immunologic biomarkers. Clin Chim Acta 2024; 555:117824. [PMID: 38316287 DOI: 10.1016/j.cca.2024.117824] [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: 10/29/2023] [Revised: 01/30/2024] [Accepted: 01/31/2024] [Indexed: 02/07/2024]
Abstract
Prostate cancer (PCa) is considered one of the most prevalent male malignancies worldwide with a global burden estimated to increase over the next two decades. Due to significant mortality and debilitation of survival, early diagnosis has been described as key. Unfortunately, current diagnostic serum-based strategies have low specificity and sensitivity. Histologic examination is invasive and not useful for treatment and monitoring purposes. Hence, a plethora of studies have been conducted to identify and validate an efficient noninvasive approach in the diagnosis, staging, and prognosis of PCa. These investigations may be categorized as genetic (non-coding biomarkers and gene markers), immunologic (immune cells, interleukins, cytokines, antibodies, and auto-antibodies), and heterogenous (PSA-related markers, PHI-related indices, and urinary biomarkers) subgroups. This review examines current approaches and potential strategies using biomarker panels in PCa.
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Affiliation(s)
- Mohammad Samare-Najaf
- Blood Transfusion Research Center, High Institute for Research and Education in Transfusion Medicine, Tehran, Iran
| | - Hosein Kouchaki
- Shiraz Institute for Cancer Research, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Seyed Moein Mahini
- Department of Medical Laboratory Sciences, School of Paramedical Sciences, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Masoumeh Saberi Rounkian
- Student Research Committee, School of Paramedicine, Guilan University of Medical Sciences, Rasht, Iran
| | - Yasaman Tavakoli
- Department of Medicine, Mazandaran University of Medical Sciences, Sari, Mazandaran, Iran
| | - Ali Samareh
- Department of Clinical Biochemistry, School of Medicine, Kerman University of Medical Sciences, Kerman, Iran
| | | | - Navid Jamali
- Department of Laboratory Sciences, Sirjan School of Medical Sciences, Sirjan, Iran.
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12
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Hasselluhn MC, Decker-Farrell AR, Vlahos L, Thomas DH, Curiel-Garcia A, Maurer HC, Wasko UN, Tomassoni L, Sastra SA, Palermo CF, Dalton TC, Ma A, Li F, Tolosa EJ, Hibshoosh H, Fernandez-Zapico ME, Muir A, Califano A, Olive KP. Tumor Explants Elucidate a Cascade of Paracrine SHH, WNT, and VEGF Signals Driving Pancreatic Cancer Angiosuppression. Cancer Discov 2024; 14:348-361. [PMID: 37966260 PMCID: PMC10922937 DOI: 10.1158/2159-8290.cd-23-0240] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Revised: 09/20/2023] [Accepted: 11/13/2023] [Indexed: 11/16/2023]
Abstract
The sparse vascularity of pancreatic ductal adenocarcinoma (PDAC) presents a mystery: What prevents this aggressive malignancy from undergoing neoangiogenesis to counteract hypoxia and better support growth? An incidental finding from prior work on paracrine communication between malignant PDAC cells and fibroblasts revealed that inhibition of the Hedgehog (HH) pathway partially relieved angiosuppression, increasing tumor vascularity through unknown mechanisms. Initial efforts to study this phenotype were hindered by difficulties replicating the complex interactions of multiple cell types in vitro. Here we identify a cascade of paracrine signals between multiple cell types that act sequentially to suppress angiogenesis in PDAC. Malignant epithelial cells promote HH signaling in fibroblasts, leading to inhibition of noncanonical WNT signaling in fibroblasts and epithelial cells, thereby limiting VEGFR2-dependent activation of endothelial hypersprouting. This cascade was elucidated using human and murine PDAC explant models, which effectively retain the complex cellular interactions of native tumor tissues. SIGNIFICANCE We present a key mechanism of tumor angiosuppression, a process that sculpts the physiologic, cellular, and metabolic environment of PDAC. We further present a computational and experimental framework for the dissection of complex signaling cascades that propagate among multiple cell types in the tissue environment. This article is featured in Selected Articles from This Issue, p. 201.
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Affiliation(s)
- Marie C. Hasselluhn
- Department of Medicine, Division of Digestive and Liver Diseases, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY
| | - Amanda R. Decker-Farrell
- Department of Medicine, Division of Digestive and Liver Diseases, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY
| | - Lukas Vlahos
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY
- Department of Systems Biology, Columbia University Irving Medical Center, New York, NY
| | | | - Alvaro Curiel-Garcia
- Department of Medicine, Division of Digestive and Liver Diseases, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY
| | - H. Carlo Maurer
- Department of Internal Medicine II, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Germany
| | - Urszula N. Wasko
- Department of Medicine, Division of Digestive and Liver Diseases, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY
| | - Lorenzo Tomassoni
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY
- Department of Systems Biology, Columbia University Irving Medical Center, New York, NY
| | - Stephen A. Sastra
- Department of Medicine, Division of Digestive and Liver Diseases, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY
| | - Carmine F. Palermo
- Department of Medicine, Division of Digestive and Liver Diseases, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY
| | - Tanner C. Dalton
- Department of Medicine, Division of Digestive and Liver Diseases, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY
| | - Alice Ma
- Department of Medicine, Division of Digestive and Liver Diseases, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY
| | - Fangda Li
- Department of Medicine, Division of Digestive and Liver Diseases, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY
| | - Ezequiel J. Tolosa
- Schulze Center for Novel Therapeutics, Division of Oncology Research, Mayo Clinic, Rochester, MN
| | - Hanina Hibshoosh
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY
- Department of Pathology, Columbia University Irving Medical Center, New York, NY
| | | | - Alexander Muir
- Ben May Department for Cancer Research, University of Chicago, Chicago, IL
| | - Andrea Califano
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY
- Department of Systems Biology, Columbia University Irving Medical Center, New York, NY
- J.P. Sulzberger Columbia Genome Center, Columbia University, New York, NY
- Department of Biomedical Informatics, Columbia University, New York, NY
- Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY
| | - Kenneth P. Olive
- Department of Medicine, Division of Digestive and Liver Diseases, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY
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13
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Panja S, Truica MI, Yu CY, Saggurthi V, Craige MW, Whitehead K, Tuiche MV, Al-Saadi A, Vyas R, Ganesan S, Gohel S, Coffman F, Parrott JS, Quan S, Jha S, Kim I, Schaeffer E, Kothari V, Abdulkadir SA, Mitrofanova A. Mechanism-centric regulatory network identifies NME2 and MYC programs as markers of Enzalutamide resistance in CRPC. Nat Commun 2024; 15:352. [PMID: 38191557 PMCID: PMC10774320 DOI: 10.1038/s41467-024-44686-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2022] [Accepted: 12/22/2023] [Indexed: 01/10/2024] Open
Abstract
Heterogeneous response to Enzalutamide, a second-generation androgen receptor signaling inhibitor, is a central problem in castration-resistant prostate cancer (CRPC) management. Genome-wide systems investigation of mechanisms that govern Enzalutamide resistance promise to elucidate markers of heterogeneous treatment response and salvage therapies for CRPC patients. Focusing on the de novo role of MYC as a marker of Enzalutamide resistance, here we reconstruct a CRPC-specific mechanism-centric regulatory network, connecting molecular pathways with their upstream transcriptional regulatory programs. Mining this network with signatures of Enzalutamide response identifies NME2 as an upstream regulatory partner of MYC in CRPC and demonstrates that NME2-MYC increased activities can predict patients at risk of resistance to Enzalutamide, independent of co-variates. Furthermore, our experimental investigations demonstrate that targeting MYC and its partner NME2 is beneficial in Enzalutamide-resistant conditions and could provide an effective strategy for patients at risk of Enzalutamide resistance and/or for patients who failed Enzalutamide treatment.
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Affiliation(s)
- Sukanya Panja
- Department of Health Informatics, Rutgers School of Health Professions, Newark, NJ, 07107, USA
| | - Mihai Ioan Truica
- Department of Urology, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA
| | - Christina Y Yu
- Department of Health Informatics, Rutgers School of Health Professions, Newark, NJ, 07107, USA
| | - Vamshi Saggurthi
- Department of Health Informatics, Rutgers School of Health Professions, Newark, NJ, 07107, USA
| | - Michael W Craige
- Department of Health Informatics, Rutgers School of Health Professions, Newark, NJ, 07107, USA
| | - Katie Whitehead
- Department of Health Informatics, Rutgers School of Health Professions, Newark, NJ, 07107, USA
| | - Mayra V Tuiche
- Department of Health Informatics, Rutgers School of Health Professions, Newark, NJ, 07107, USA
- Rutgers Biomedical and Health Sciences, Rutgers School of Graduate Studies, Newark, NJ, 07039, USA
| | - Aymen Al-Saadi
- Department of Electrical and Computer Engineering, Rutgers School of Engineering, New Brunswick, NJ, 08854, USA
| | - Riddhi Vyas
- Department of Health Informatics, Rutgers School of Health Professions, Newark, NJ, 07107, USA
| | - Shridar Ganesan
- Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, 08901, USA
| | - Suril Gohel
- Department of Health Informatics, Rutgers School of Health Professions, Newark, NJ, 07107, USA
| | - Frederick Coffman
- Department of Health Informatics, Rutgers School of Health Professions, Newark, NJ, 07107, USA
| | - James S Parrott
- Department of Health Informatics, Rutgers School of Health Professions, Newark, NJ, 07107, USA
| | - Songhua Quan
- Department of Urology, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA
| | - Shantenu Jha
- Department of Electrical and Computer Engineering, Rutgers School of Engineering, New Brunswick, NJ, 08854, USA
| | - Isaac Kim
- Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, 08901, USA
- Department of Urology, Yale School of Medicine, New Heaven, CT, 06510, USA
| | - Edward Schaeffer
- Department of Urology, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA
| | - Vishal Kothari
- Department of Urology, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA.
| | - Sarki A Abdulkadir
- Department of Urology, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA.
- Robert H. Lurie Comprehensive Cancer Center, Chicago, IL, 60611, USA.
| | - Antonina Mitrofanova
- Department of Health Informatics, Rutgers School of Health Professions, Newark, NJ, 07107, USA.
- Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, 08901, USA.
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14
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Lee DY, Chun JN, So I, Jeon JH. Oncogenic role of FOXM1 in human prostate cancer (Review). Oncol Rep 2024; 51:15. [PMID: 38038123 PMCID: PMC10739992 DOI: 10.3892/or.2023.8674] [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: 09/19/2023] [Accepted: 11/03/2023] [Indexed: 12/02/2023] Open
Abstract
Prostate cancer is the leading cause of cancer‑related mortality among men worldwide. In particular, castration‑resistant prostate cancer presents a formidable clinical challenge and emphasizes the need to develop novel therapeutic strategies. Forkhead box M1 (FOXM1) is a multifaceted transcription factor that is implicated in the acquisition of the multiple cancer hallmark capabilities in prostate cancer cells, including sustaining proliferative signaling, resisting cell death and the activation of invasion and metastasis. Elevated FOXM1 expression is frequently observed in prostate cancer, and in particular, FOXM1 overexpression is closely associated with poor clinical outcomes in patients with prostate cancer. In the present review, recent advances in the understanding of the oncogenic role of deregulated FOXM1 expression in prostate cancer were highlighted. In addition, the molecular mechanisms by which FOXM1 regulates prostate cancer development and progression were described, thereby providing knowledge and a conceptual framework for FOXM1. The present review also provided valuable insight into the inherent challenges associated with translating biomedical knowledge into effective therapeutic strategies for prostate cancer.
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Affiliation(s)
- Da Young Lee
- Department of Physiology and Biomedical Sciences, Seoul National University College of Medicine, Seoul 03080, Republic of Korea
| | - Jung Nyeo Chun
- Department of Physiology and Biomedical Sciences, Seoul National University College of Medicine, Seoul 03080, Republic of Korea
- Institute of Human-Environment Interface Biology, Seoul National University, Seoul 03080, Republic of Korea
| | - Insuk So
- Department of Physiology and Biomedical Sciences, Seoul National University College of Medicine, Seoul 03080, Republic of Korea
- Institute of Human-Environment Interface Biology, Seoul National University, Seoul 03080, Republic of Korea
| | - Ju-Hong Jeon
- Department of Physiology and Biomedical Sciences, Seoul National University College of Medicine, Seoul 03080, Republic of Korea
- Institute of Human-Environment Interface Biology, Seoul National University, Seoul 03080, Republic of Korea
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15
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Kim H, Choi H, Lee D, Kim J. A review on gene regulatory network reconstruction algorithms based on single cell RNA sequencing. Genes Genomics 2024; 46:1-11. [PMID: 38032470 DOI: 10.1007/s13258-023-01473-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2023] [Accepted: 10/24/2023] [Indexed: 12/01/2023]
Abstract
BACKGROUND Understanding gene regulatory networks (GRNs) is essential for unraveling the molecular mechanisms governing cellular behavior. With the advent of high-throughput transcriptome measurement technology, researchers have aimed to reverse engineer the biological systems, extracting gene regulatory rules from their outputs, which represented by gene expression data. Bulk RNA sequencing, a widely used method for measuring gene expression, has been employed for GRN reconstruction. However, it falls short in capturing dynamic changes in gene expression at the level of individual cells since it averages gene expression across mixed cell populations. OBJECTIVE In this review, we provide an overview of 15 GRN reconstruction tools and discuss their respective strengths and limitations, particularly in the context of single cell RNA sequencing (scRNA-seq). METHODS Recent advancements in scRNA-seq break new ground of GRN reconstruction. They offer snapshots of the individual cell transcriptomes and capturing dynamic changes. We emphasize how these technological breakthroughs have enhanced GRN reconstruction. CONCLUSION GRN reconstructors can be classified based on their requirement for cellular trajectory, which represents a dynamical cellular process including differentiation, aging, or disease progression. Benchmarking studies support the superiority of GRN reconstructors that do not require trajectory analysis in identifying regulator-target relationships. However, methods equipped with trajectory analysis demonstrate better performance in identifying key regulatory factors. In conclusion, researchers should select a suitable GRN reconstructor based on their specific research objectives.
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Affiliation(s)
- Hyeonkyu Kim
- School of Systems Biomedical Science, Soongsil University, 369 Sangdo-Ro, Dongjak-Gu, Seoul, 06978, Republic of Korea
| | - Hwisoo Choi
- School of Systems Biomedical Science, Soongsil University, 369 Sangdo-Ro, Dongjak-Gu, Seoul, 06978, Republic of Korea
| | - Daewon Lee
- School of Art and Technology, Chung-Ang University, 4726 Seodong-Daero, Anseong-Si, Gyeonggi-Do, 17546, Republic of Korea.
| | - Junil Kim
- School of Systems Biomedical Science, Soongsil University, 369 Sangdo-Ro, Dongjak-Gu, Seoul, 06978, Republic of Korea.
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16
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Xu Z, Xu D, You Z, Tian W. CENPF Upregulation is Associated with Immunosuppressive Status and Poor Clinical Outcomes in Lung Adenocarcinoma Validated by qRT-PCR. Comb Chem High Throughput Screen 2024; 27:78-89. [PMID: 37287300 DOI: 10.2174/1386207326666230607125353] [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: 07/30/2022] [Revised: 02/20/2023] [Accepted: 03/16/2023] [Indexed: 06/09/2023]
Abstract
OBJECTIVE CENPF-differentially expressed in various types of cancers-is a marker of poor prognosis. However, studies on the impact of CENPF on patient prognosis in lung adenocarcinoma regarding immune infiltration are lacking. METHODS CENPF expression profiles were analyzed in the GEO and TCGA databases. qRT-PCR was used to verify CENPF mRNA expression in lung adenocarcinoma cell lines. The prognostic value of CENPF was evaluated by combining data from clinical samples in the GEPIA2 and TCGA databases. Metascape and WebGestalt were used for enrichment analysis of gene sets most positively associated with CENPF. Immune cell infiltration score data were retrieved from TCGA and the correlation between CENPF expression and immune cell infiltration was analyzed. RESULTS CENPF expression was elevated in 29 types of cancer. CENPF was highly expressed and increased with tumor grade in lung adenocarcinoma. Immunohistochemical and qRT-PCR analyses revealed that CENPF expression was upregulated in lung adenocarcinoma tissues and cells. High expression of CENPF significantly worsened prognoses in patients with multiple malignancies, including lung adenocarcinoma. Results from gene set enrichment analysis indicated significant enrichment of the progesterone-mediated oocyte maturation pathway. Immune infiltration analysis revealed that CD4+ Th2 cell infiltration was significantly higher in the high CENPF expression group. CONCLUSION Upregulation of CENPF expression was related to poor progression-free survival, disease- free survival, and overall survival in patients with lung adenocarcinoma. High expression of CENPF was markedly related to genes associated with the immune checkpoint. Lung adenocarcinoma samples with high CENPF expression had increased CD4+ Th2 cell infiltration. Our findings indicate that CENPF promotes CD4+ Th2 cell infiltration through oncogenic activity and may be used as a biomarker for predicting patient outcomes in lung adenocarcinoma.
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Affiliation(s)
- Zhiyun Xu
- Department of Cardiothoracic Surgery, The Affiliated Huaian No. 1 People's Hospital of Nanjing Medical University, Huaian 223300, China
| | - Dafu Xu
- Department of Cardiothoracic Surgery, The Affiliated Huaian No. 1 People's Hospital of Nanjing Medical University, Huaian 223300, China
| | - Zhenbing You
- Department of Cardiothoracic Surgery, The Affiliated Huaian No. 1 People's Hospital of Nanjing Medical University, Huaian 223300, China
| | - Wenze Tian
- Department of Cardiothoracic Surgery, The Affiliated Huaian No. 1 People's Hospital of Nanjing Medical University, Huaian 223300, China
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17
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De Marzio M, Glass K, Kuijjer ML. Single-sample network modeling on omics data. BMC Biol 2023; 21:296. [PMID: 38155351 PMCID: PMC10755944 DOI: 10.1186/s12915-023-01783-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Accepted: 11/27/2023] [Indexed: 12/30/2023] Open
Affiliation(s)
- Margherita De Marzio
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medicine School, Boston, MA, USA
| | - Kimberly Glass
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medicine School, Boston, MA, USA.
- Biostatistics Department, Harvard Chan School of Public Health, Boston, MA, USA.
| | - Marieke L Kuijjer
- Centre for Molecular Medicine Norway (NCMM), Nordic EMBL Partnership, University of Oslo, Oslo, Norway.
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18
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Khurana S, Foltz DR. Contribution of CENP-F to FOXM1-mediated discordant centromere and kinetochore transcriptional regulation. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.12.27.573453. [PMID: 38234763 PMCID: PMC10793414 DOI: 10.1101/2023.12.27.573453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/19/2024]
Abstract
Proper chromosome segregation is required to ensure genomic and chromosomal stability. The centromere is a unique chromatin domain present throughout the cell cycle on each chromosome defined by the CENP-A nucleosome. Centromeres (CEN) are responsible for recruiting the kinetochore (KT) during mitosis, ultimately regulating spindle attachment and mitotic checkpoint function. Upregulation of many genes that encode the CEN/KT proteins is commonly observed in cancer. Here, we show although that FOXM1 occupies the promoters of many CEN/KT genes with MYBL2, occupancy is insufficient alone to drive the FOXM1 correlated transcriptional program. We show that CENP-F, a component of the outer kinetochore, functions with FOXM1 to coregulate G2/M transcription and proper chromosome segregation. Loss of CENP-F results in alteration of chromatin accessibility at G2/M genes, including CENP-A, and leads to reduced FOXM1-MBB complex formation. The FOXM1-CENP-F transcriptional coordination is a cancer-specific function. We observed that a few CEN/KT genes escape FOXM1 regulation such as CENP-C which when upregulated with CENP-A, leads to increased chromosome misegregation and cell death. Together, we show that the FOXM1 and CENP-F coordinately regulate G2/M gene expression, and this coordination is specific to a subset of genes to allow for proliferation and maintenance of chromosome stability for cancer cell survival.
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Affiliation(s)
- Sakshi Khurana
- Department of Biochemistry and Molecular Genetics, Northwestern University Feinberg School of Medicine, Chicago, IL 60611
- Simpsom Querrey Institute for Epigenetics, Northwestern University Feinberg School of Medicine, Chicago, IL 60611
| | - Daniel R. Foltz
- Department of Biochemistry and Molecular Genetics, Northwestern University Feinberg School of Medicine, Chicago, IL 60611
- Simpsom Querrey Institute for Epigenetics, Northwestern University Feinberg School of Medicine, Chicago, IL 60611
- Robert H. Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine, Chicago, IL 60611
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19
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Santasusagna S, Zhu S, Jawalagatti V, Carceles-Cordon M, Ertel A, Garcia-Longarte S, Song WM, Fujiwara N, Li P, Mendizabal I, Petrylak DP, Kelly WK, Reddy EP, Wang L, Schiewer MJ, Lujambio A, Karnes J, Knudsen KE, Cordon-Cardo C, Dong H, Huang H, Carracedo A, Hoshida Y, Rodriguez-Bravo V, Domingo-Domenech J. Master Transcription Factor Reprogramming Unleashes Selective Translation Promoting Castration Resistance and Immune Evasion in Lethal Prostate Cancer. Cancer Discov 2023; 13:2584-2609. [PMID: 37676710 PMCID: PMC10714140 DOI: 10.1158/2159-8290.cd-23-0306] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Revised: 07/28/2023] [Accepted: 09/05/2023] [Indexed: 09/08/2023]
Abstract
Signaling rewiring allows tumors to survive therapy. Here we show that the decrease of the master regulator microphthalmia transcription factor (MITF) in lethal prostate cancer unleashes eukaryotic initiation factor 3B (eIF3B)-dependent translation reprogramming of key mRNAs conferring resistance to androgen deprivation therapy (ADT) and promoting immune evasion. Mechanistically, MITF represses through direct promoter binding eIF3B, which in turn regulates the translation of specific mRNAs. Genome-wide eIF3B enhanced cross-linking immunoprecipitation sequencing (eCLIP-seq) showed specialized binding to a UC-rich motif present in subsets of 5' untranslated regions. Indeed, translation of the androgen receptor and major histocompatibility complex I (MHC-I) through this motif is sensitive to eIF3B amount. Notably, pharmacologic targeting of eIF3B-dependent translation in preclinical models sensitizes prostate cancer to ADT and anti-PD-1 therapy. These findings uncover a hidden connection between transcriptional and translational rewiring promoting therapy-refractory lethal prostate cancer and provide a druggable mechanism that may transcend into effective combined therapeutic strategies. SIGNIFICANCE Our study shows that specialized eIF3B-dependent translation of specific mRNAs released upon downregulation of the master transcription factor MITF confers castration resistance and immune evasion in lethal prostate cancer. Pharmacologic targeting of this mechanism delays castration resistance and increases immune-checkpoint efficacy. This article is featured in Selected Articles from This Issue, p. 2489.
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Affiliation(s)
- Sandra Santasusagna
- Department of Urology, Mayo Comprehensive Cancer Center, Rochester, Minnesota
- Department of Biochemistry and Molecular Biology, Mayo Comprehensive Cancer Center, Rochester, Minnesota
| | - Shijia Zhu
- Department of Medicine, Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, Texas
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota
| | - Vijayakumar Jawalagatti
- Department of Urology, Mayo Comprehensive Cancer Center, Rochester, Minnesota
- Department of Biochemistry and Molecular Biology, Mayo Comprehensive Cancer Center, Rochester, Minnesota
| | | | - Adam Ertel
- Department of Oncology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, Pennsylvania
| | - Saioa Garcia-Longarte
- Center for Cooperative Research in Biosciences (CIC bioGUNE), Basque Research and Technology Alliance (BRTA), Derio, Spain
| | - Won-Min Song
- Department of Genetics and Genome Sciences, Tisch Cancer Center, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Naoto Fujiwara
- Department of Medicine, Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Peiyao Li
- Department of Oncology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, Pennsylvania
| | - Isabel Mendizabal
- Center for Cooperative Research in Biosciences (CIC bioGUNE), Basque Research and Technology Alliance (BRTA), Derio, Spain
| | - Daniel P. Petrylak
- Department of Oncology, Yale Comprehensive Cancer Center, Yale School of Medicine, New Haven, Connecticut
| | - William Kevin Kelly
- Department of Oncology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, Pennsylvania
| | - E. Premkumar Reddy
- Department of Oncological Sciences, Tisch Cancer Center, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Liguo Wang
- Department of Biochemistry and Molecular Biology, Mayo Comprehensive Cancer Center, Rochester, Minnesota
| | - Matthew J. Schiewer
- Department of Pharmacology, Physiology, and Cancer Biology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, Pennsylvania
| | - Amaia Lujambio
- Department of Oncological Sciences, Tisch Cancer Center, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Jeffrey Karnes
- Department of Urology, Mayo Comprehensive Cancer Center, Rochester, Minnesota
| | - Karen E. Knudsen
- Department of Pharmacology, Physiology, and Cancer Biology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, Pennsylvania
| | - Carlos Cordon-Cardo
- Department of Pathology. Tisch Cancer Center, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Haidong Dong
- Department of Urology, Mayo Comprehensive Cancer Center, Rochester, Minnesota
- Department of Immunology, Mayo Comprehensive Cancer Center, Rochester, Minnesota
| | - Haojie Huang
- Department of Urology, Mayo Comprehensive Cancer Center, Rochester, Minnesota
- Department of Biochemistry and Molecular Biology, Mayo Comprehensive Cancer Center, Rochester, Minnesota
| | - Arkaitz Carracedo
- Center for Cooperative Research in Biosciences (CIC bioGUNE), Basque Research and Technology Alliance (BRTA), Derio, Spain
- Ikerbasque, Basque Foundation for Science, Bilbao, Spain
- Traslational prostate cancer Research Lab, CIC bioGUNE-Basurto, Biocruces Bizkaia Health Research Institute CIC bioGUNE, Bizkaia Technology Park, Derio, Spain
- CIBERONC, Madrid, Spain
- Biochemistry and Molecular Biology Department, University of the Basque Country (UPV/EHU), Bilbao, Spain
| | - Yujin Hoshida
- Department of Medicine, Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Veronica Rodriguez-Bravo
- Department of Urology, Mayo Comprehensive Cancer Center, Rochester, Minnesota
- Department of Biochemistry and Molecular Biology, Mayo Comprehensive Cancer Center, Rochester, Minnesota
| | - Josep Domingo-Domenech
- Department of Urology, Mayo Comprehensive Cancer Center, Rochester, Minnesota
- Department of Biochemistry and Molecular Biology, Mayo Comprehensive Cancer Center, Rochester, Minnesota
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Li P, Ma G, Cui Z, Zhang S, Su Q, Cai Z. FOXM1 and CENPF are associated with a poor prognosis through promoting proliferation and migration in lung adenocarcinoma. Oncol Lett 2023; 26:518. [PMID: 37920441 PMCID: PMC10618931 DOI: 10.3892/ol.2023.14105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Accepted: 09/12/2023] [Indexed: 11/04/2023] Open
Abstract
Lung adenocarcinoma (LUAD) is a clinically challenging disease due to its poor prognosis and limited therapeutic methods. The aim of the present study was to identify prognosis-related genes and therapeutic targets for LUAD. Raw data from the GSE32863, GSE41271 and GSE42127 datasets were downloaded from the Gene Expression Omnibus database. Following normalization, the data were merged into a matrix, which was first used to identify differentially expressed genes (DEGs). Weighted gene co-expression network analysis (WGCNA) and survival analysis were performed to screen potential prognosis-related genes. Gene overlaps among DEGs, survival-related genes and WGCNA genes were finally constructed to obtain candidate genes. An analysis with the STRING database was performed to construct a protein-protein interaction network and hub genes were selected using Cytoscape. The candidate genes were finally identified by univariate and multivariate Cox regression analysis. Furthermore, in vivo and in vitro experiments, including immunohistochemistry, immunofluorescence, Cell Counting Kit-8, colony-formation and migration assays, were performed to validate the potential mechanism of these genes in LUAD. Two genes, namely forkhead box M1 (FOXM1) and centromere protein F (CENPF), were identified as unfavorable indicators of prognosis in patients with LUAD. High expression of FOXM1 and CENPF were associated with poor survival. Furthermore, LUAD cells with FOXM1 and CENPF knockdown showed a significant reduction in proliferation and migration (P<0.05). FOXM1 and CENPF may have an essential role in the prognosis of patients with LUAD by influencing cell proliferation and migration, and they provide potential molecular targets for LUAD therapy.
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Affiliation(s)
- Peipei Li
- The First Department of Pulmonary and Critical Care Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei 050000, P.R. China
- Hebei Key Laboratory of Respiratory Critical Care Medicine, The First Department of Pulmonary and Critical Care Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei 050000, P.R. China
- Department of Pulmonary and Critical Care Medicine, Hengshui People's Hospital, Hengshui, Hebei 053000, P.R. China
| | - Geng Ma
- Department of Gastroenterology, Hengshui People's Hospital, Hengshui, Hebei 053000, P.R. China
| | - Zhaobo Cui
- Department of Pulmonary and Critical Care Medicine, Hengshui People's Hospital, Hengshui, Hebei 053000, P.R. China
| | - Shusen Zhang
- The First Department of Pulmonary and Critical Care Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei 050000, P.R. China
- Hebei Key Laboratory of Respiratory Critical Care Medicine, The First Department of Pulmonary and Critical Care Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei 050000, P.R. China
- Department of Pulmonary and Critical Care Medicine, Affiliated Xing Tai People Hospital of Hebei Medical University, Xingtai, Hebei 054001, P.R. China
| | - Qiao Su
- The First Department of Pulmonary and Critical Care Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei 050000, P.R. China
- Hebei Key Laboratory of Respiratory Critical Care Medicine, The First Department of Pulmonary and Critical Care Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei 050000, P.R. China
| | - Zhigang Cai
- The First Department of Pulmonary and Critical Care Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei 050000, P.R. China
- Hebei Key Laboratory of Respiratory Critical Care Medicine, The First Department of Pulmonary and Critical Care Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei 050000, P.R. China
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21
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Ramakrishnan A, Datta I, Panja S, Patel H, Liu Y, Craige MW, Chu C, Jean-Marie G, Oladoja AR, Kim I, Mitrofanova A. Tissue-specific biological aging predicts progression in prostate cancer and acute myeloid leukemia. Front Oncol 2023; 13:1222168. [PMID: 37746266 PMCID: PMC10512286 DOI: 10.3389/fonc.2023.1222168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 08/08/2023] [Indexed: 09/26/2023] Open
Abstract
Introduction Chronological aging is a well-recognized diagnostic and prognostic factor in multiple cancer types, yet the role of biological aging in manifesting cancer progression has not been fully explored yet. Methods Given the central role of chronological aging in prostate cancer and AML incidence, here we investigate a tissue-specific role of biological aging in prostate cancer and AML progression. We have employed Cox proportional hazards modeling to associate biological aging genes with cancer progression for patients from specific chronological aging groups and for patients with differences in initial cancer aggressiveness. Results Our prostate cancer-specific investigations nominated four biological aging genes (CD44, GADD45B, STAT3, GFAP) significantly associated with time to disease progression in prostate cancer in Taylor et al. patient cohort. Stratified survival analysis on Taylor dataset and validation on an independent TCGA and DKFZ PRAD patient cohorts demonstrated ability of these genes to predict prostate cancer progression, especially for patients with higher Gleason score and for patients younger than 60 years of age. We have further tested the generalizability of our approach and applied it to acute myeloid leukemia (AML). Our analysis nominated three AML-specific biological aging genes (CDC42EP2, CDC42, ALOX15B) significantly associated with time to AML overall survival, especially for patients with favorable cytogenetic risk score and for patients older than 56 years of age. Discussion Comparison of the identified PC and AML markers to genes selected at random and to known markers of progression demonstrated robustness of our results and nominated the identified biological aging genes as valuable markers of prostate cancer and AML progression, opening new avenues for personalized therapeutic management and potential novel treatment investigations.
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Affiliation(s)
- Anitha Ramakrishnan
- Department of Biomedical and Health Informatics, School of Health Professions, Rutgers, The State University of New Jersey, Newark, NJ, United States
| | - Indrani Datta
- Department of Biomedical and Health Informatics, School of Health Professions, Rutgers, The State University of New Jersey, Newark, NJ, United States
| | - Sukanya Panja
- Department of Biomedical and Health Informatics, School of Health Professions, Rutgers, The State University of New Jersey, Newark, NJ, United States
| | - Harmony Patel
- Department of Biomedical and Health Informatics, School of Health Professions, Rutgers, The State University of New Jersey, Newark, NJ, United States
- Department of Health Informatics and Information Management, College of Applied and Natural Sciences, Louisiana Tech University, Ruston, LA, United States
| | - Yingci Liu
- Department of Biomedical and Health Informatics, School of Health Professions, Rutgers, The State University of New Jersey, Newark, NJ, United States
- New Jersey Medical School, Rutgers, The State University of New Jersey, Newark, NJ, United States
| | - Michael W. Craige
- Department of Biomedical and Health Informatics, School of Health Professions, Rutgers, The State University of New Jersey, Newark, NJ, United States
| | - Cassandra Chu
- Department of Biomedical and Health Informatics, School of Health Professions, Rutgers, The State University of New Jersey, Newark, NJ, United States
| | - Giselle Jean-Marie
- Department of Biomedical and Health Informatics, School of Health Professions, Rutgers, The State University of New Jersey, Newark, NJ, United States
- Rutgers Youth Enjoy Science Program, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, United States
| | - Abdur-Rahman Oladoja
- Department of Biomedical and Health Informatics, School of Health Professions, Rutgers, The State University of New Jersey, Newark, NJ, United States
- Rutgers Youth Enjoy Science Program, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, United States
| | - Isaac Kim
- Department of Urology, Yale School of Medicine, New Haven, CT, United States
| | - Antonina Mitrofanova
- Department of Biomedical and Health Informatics, School of Health Professions, Rutgers, The State University of New Jersey, Newark, NJ, United States
- Rutgers Cancer Institute of New Jersey, Rutgers, The State University of New Jersey, New Brunswick, NJ, United States
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22
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Xiong W, Zhang X, Peng B, Zhu H, Huang L, He S. Pan-glioma analyses reveal species- and tumor-specific regulation of neuron-glioma synapse genes by lncRNAs. Front Genet 2023; 14:1218408. [PMID: 37693314 PMCID: PMC10484416 DOI: 10.3389/fgene.2023.1218408] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2023] [Accepted: 08/11/2023] [Indexed: 09/12/2023] Open
Abstract
Gliomas are highly heterogeneous and aggressive. Malignant cells in gliomas can contact normal neurons through a synapse-like structure (called neuron-to-glioma synapse, NGS) to promote their proliferation, but it is unclear whether NGS gene expression and regulation show species- and tumor-specificity. This question is important in that many anti-cancer drugs are developed upon mouse models. To address this question, we conducted a pan-glioma analysis using nine scRNA-seq datasets from humans and mice. We also experimentally validated the key element of our methods and verified a key result using TCGA datasets of the same glioma types. Our analyses revealed that NGS gene expression and regulation by lncRNAs are highly species- and tumor-specific. Importantly, simian-specific lncRNAs are more involved in NGS gene regulation than lncRNAs conserved in mammals, and transgenic mouse gliomas have little in common with PDX mouse models and human gliomas in terms of NGS gene regulation. The analyses suggest that simian-specific lncRNAs are a new and rich class of potential targets for tumor-specific glioma treatment, and provide pertinent data for further experimentally and clinically exmining the targets.
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Affiliation(s)
- Wei Xiong
- Bioinformatics Section, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China
| | - Xuecong Zhang
- Bioinformatics Section, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China
| | - Bin Peng
- Bioinformatics Section, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China
| | - Hao Zhu
- Bioinformatics Section, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China
| | - Lijin Huang
- Neurosurgery Department, The Third Affiliated Hospital, Southern Medical University, Guangzhou, China
| | - Sha He
- Bioinformatics Section, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China
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23
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Tshering LF, Luo F, Russ S, Szenk M, Rubel D, Tutuska K, Rail JG, Balázsi G, Shen MM, Talos F. Immune mechanisms shape the clonal landscape during early progression of prostate cancer. Dev Cell 2023; 58:1071-1086.e8. [PMID: 37148881 PMCID: PMC10330387 DOI: 10.1016/j.devcel.2023.04.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2022] [Revised: 12/18/2022] [Accepted: 04/14/2023] [Indexed: 05/08/2023]
Abstract
Understanding the role of the immune microenvironment in modulating intratumor heterogeneity is essential for effective cancer therapies. Using multicolor lineage tracing in genetically engineered mouse models and single-cell transcriptomics, we show that slowly progressing tumors contain a multiclonal landscape of relatively homogeneous subpopulations within a well-organized tumor microenvironment. In more advanced and aggressive tumors, however, the multiclonal landscape develops into competing dominant and minor clones accompanied by a disordered microenvironment. We demonstrate that this dominant/minor landscape is associated with differential immunoediting, in which minor clones are marked by an increased expression of IFNγ-response genes and the T cell-activating chemokines Cxcl9 and Cxcl11. Furthermore, immunomodulation of the IFNγ pathway can rescue minor clones from elimination. Notably, the immune-specific gene signature of minor clones exhibits a prognostic value for biochemical recurrence-free survival in human prostate cancer. These findings suggest new immunotherapy approaches for modulating clonal fitness and tumor progression in prostate cancer.
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Affiliation(s)
- Lara F Tshering
- Department of Urology, Stony Brook University, Stony Brook, NY 11794, USA; Department of Pathology, Stony Brook University, Stony Brook, NY 11794, USA
| | - Fu Luo
- Department of Urology, Stony Brook University, Stony Brook, NY 11794, USA; Department of Pathology, Stony Brook University, Stony Brook, NY 11794, USA
| | - Savanah Russ
- Department of Urology, Stony Brook University, Stony Brook, NY 11794, USA; Department of Pathology, Stony Brook University, Stony Brook, NY 11794, USA
| | - Mariola Szenk
- Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY 11794, USA; Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY 11794, USA
| | - Diana Rubel
- Department of Urology, Stony Brook University, Stony Brook, NY 11794, USA; Department of Pathology, Stony Brook University, Stony Brook, NY 11794, USA
| | - Karis Tutuska
- Department of Urology, Stony Brook University, Stony Brook, NY 11794, USA; Department of Pathology, Stony Brook University, Stony Brook, NY 11794, USA
| | - James G Rail
- Department of Urology, Stony Brook University, Stony Brook, NY 11794, USA; Department of Pathology, Stony Brook University, Stony Brook, NY 11794, USA
| | - Gábor Balázsi
- Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY 11794, USA; Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY 11794, USA
| | - Michael M Shen
- Departments of Medicine, Genetics & Development, Urology, and Systems Biology, Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA.
| | - Flaminia Talos
- Department of Urology, Stony Brook University, Stony Brook, NY 11794, USA; Department of Pathology, Stony Brook University, Stony Brook, NY 11794, USA; Departments of Medicine, Genetics & Development, Urology, and Systems Biology, Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA; Stony Brook Cancer Center, Stony Brook University, Stony Brook, NY 11794, USA.
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24
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Mundi PS, Dela Cruz FS, Grunn A, Diolaiti D, Mauguen A, Rainey AR, Guillan K, Siddiquee A, You D, Realubit R, Karan C, Ortiz MV, Douglass EF, Accordino M, Mistretta S, Brogan F, Bruce JN, Caescu CI, Carvajal RD, Crew KD, Decastro G, Heaney M, Henick BS, Hershman DL, Hou JY, Iwamoto FM, Jurcic JG, Kiran RP, Kluger MD, Kreisl T, Lamanna N, Lassman AB, Lim EA, Manji GA, McKhann GM, McKiernan JM, Neugut AI, Olive KP, Rosenblat T, Schwartz GK, Shu CA, Sisti MB, Tergas A, Vattakalam RM, Welch M, Wenske S, Wright JD, Hibshoosh H, Kalinsky K, Aburi M, Sims PA, Alvarez MJ, Kung AL, Califano A. A Transcriptome-Based Precision Oncology Platform for Patient-Therapy Alignment in a Diverse Set of Treatment-Resistant Malignancies. Cancer Discov 2023; 13:1386-1407. [PMID: 37061969 PMCID: PMC10239356 DOI: 10.1158/2159-8290.cd-22-1020] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 01/14/2023] [Accepted: 03/14/2023] [Indexed: 04/17/2023]
Abstract
Predicting in vivo response to antineoplastics remains an elusive challenge. We performed a first-of-kind evaluation of two transcriptome-based precision cancer medicine methodologies to predict tumor sensitivity to a comprehensive repertoire of clinically relevant oncology drugs, whose mechanism of action we experimentally assessed in cognate cell lines. We enrolled patients with histologically distinct, poor-prognosis malignancies who had progressed on multiple therapies, and developed low-passage, patient-derived xenograft models that were used to validate 35 patient-specific drug predictions. Both OncoTarget, which identifies high-affinity inhibitors of individual master regulator (MR) proteins, and OncoTreat, which identifies drugs that invert the transcriptional activity of hyperconnected MR modules, produced highly significant 30-day disease control rates (68% and 91%, respectively). Moreover, of 18 OncoTreat-predicted drugs, 15 induced the predicted MR-module activity inversion in vivo. Predicted drugs significantly outperformed antineoplastic drugs selected as unpredicted controls, suggesting these methods may substantively complement existing precision cancer medicine approaches, as also illustrated by a case study. SIGNIFICANCE Complementary precision cancer medicine paradigms are needed to broaden the clinical benefit realized through genetic profiling and immunotherapy. In this first-in-class application, we introduce two transcriptome-based tumor-agnostic systems biology tools to predict drug response in vivo. OncoTarget and OncoTreat are scalable for the design of basket and umbrella clinical trials. This article is highlighted in the In This Issue feature, p. 1275.
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Affiliation(s)
- Prabhjot S. Mundi
- Department of Systems Biology, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
| | - Filemon S. Dela Cruz
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY USA 10065
| | - Adina Grunn
- Department of Systems Biology, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
| | - Daniel Diolaiti
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY USA 10065
| | - Audrey Mauguen
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY USA 10065
| | - Allison R. Rainey
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY USA 10065
| | - Kristina Guillan
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY USA 10065
| | - Armaan Siddiquee
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY USA 10065
| | - Daoqi You
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY USA 10065
| | - Ronald Realubit
- Department of Systems Biology, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
| | - Charles Karan
- Department of Systems Biology, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
| | - Michael V. Ortiz
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY USA 10065
| | - Eugene F. Douglass
- Department of Systems Biology, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
| | - Melissa Accordino
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Department of Medicine, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY USA 10032
| | - Suzanne Mistretta
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
| | - Frances Brogan
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
| | - Jeffrey N. Bruce
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Department of Neurological Surgery, Columbia University Irving Medical Center, 710 W 168th Street, New York, NY USA 10032
| | - Cristina I. Caescu
- Department of Systems Biology, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
| | - Richard D. Carvajal
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Department of Medicine, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY USA 10032
| | - Katherine D Crew
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Department of Medicine, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY USA 10032
| | - Guarionex Decastro
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Department of Urology, Columbia University Irving Medical Center, 160 Fort Washington Ave, New York, NY USA 10032
| | - Mark Heaney
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Department of Medicine, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY USA 10032
| | - Brian S Henick
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Department of Medicine, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY USA 10032
| | - Dawn L Hershman
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Department of Medicine, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY USA 10032
- Department of Epidemiology, Columbia University Mailman School of Public Health, 722 West 168th St. NY, NY 10032
| | - June Y. Hou
- Department of Obstetrics & Gynecology, Columbia University Irving Medical Center, 622 W 168th Street, New York, NY USA 10032
| | - Fabio M. Iwamoto
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Department of Neurology, Columbia University Irving Medical Center, 710 W 168th Street, New York, NY USA 10032
| | - Joseph G. Jurcic
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Department of Medicine, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY USA 10032
| | - Ravi P. Kiran
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Department of Surgery, Columbia University Irving Medical Center, 622 W 168th Street, New York, NY USA 10032
| | - Michael D Kluger
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Department of Surgery, Columbia University Irving Medical Center, 622 W 168th Street, New York, NY USA 10032
| | - Teri Kreisl
- Novartis Five Cambridge, MA 02142, United States
| | - Nicole Lamanna
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Department of Medicine, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY USA 10032
| | - Andrew B. Lassman
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Department of Neurology, Columbia University Irving Medical Center, 710 W 168th Street, New York, NY USA 10032
| | - Emerson A. Lim
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Department of Medicine, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY USA 10032
| | - Gulam A. Manji
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Department of Medicine, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY USA 10032
| | - Guy M McKhann
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Department of Neurological Surgery, Columbia University Irving Medical Center, 710 W 168th Street, New York, NY USA 10032
| | - James M. McKiernan
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Department of Urology, Columbia University Irving Medical Center, 160 Fort Washington Ave, New York, NY USA 10032
| | - Alfred I Neugut
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Department of Medicine, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY USA 10032
- Department of Epidemiology, Columbia University Mailman School of Public Health, 722 West 168th St. NY, NY 10032
| | - Kenneth P. Olive
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Department of Medicine, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY USA 10032
| | - Todd Rosenblat
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Department of Medicine, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY USA 10032
| | - Gary K. Schwartz
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Department of Medicine, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY USA 10032
| | - Catherine A Shu
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Department of Medicine, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY USA 10032
| | - Michael B. Sisti
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Department of Neurological Surgery, Columbia University Irving Medical Center, 710 W 168th Street, New York, NY USA 10032
- Department of Otolaryngology Head and Neck Surgery, Columbia University Irving Medical Center, 710 W 168th Street, New York, NY USA 10032
- Department of Radiation Oncology, Columbia University Irving Medical Center, 161 Fort Washington Avenue, New York, NY 10032, United States
| | - Ana Tergas
- Department of Obstetrics & Gynecology, Columbia University Irving Medical Center, 622 W 168th Street, New York, NY USA 10032
| | - Reena M Vattakalam
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Department of Obstetrics & Gynecology, Columbia University Irving Medical Center, 622 W 168th Street, New York, NY USA 10032
| | - Mary Welch
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Department of Neurology, Columbia University Irving Medical Center, 710 W 168th Street, New York, NY USA 10032
| | - Sven Wenske
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Department of Urology, Columbia University Irving Medical Center, 160 Fort Washington Ave, New York, NY USA 10032
| | - Jason D. Wright
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Department of Obstetrics & Gynecology, Columbia University Irving Medical Center, 622 W 168th Street, New York, NY USA 10032
| | - Hanina Hibshoosh
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY USA 10032
| | - Kevin Kalinsky
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Winship Cancer Institute of Emory University and Department of Hematology and Medical Oncology, Emory University School of Medicine, 1365-C Clifton Road NE, Atlanta, GA 30322, United States
| | - Mahalaxmi Aburi
- Department of Systems Biology, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
| | - Peter A. Sims
- Department of Systems Biology, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Department of Biochemistry & Molecular Biophysics, Columbia University Irving Medical Center, 701 W 168th Street, New York, NY USA 10032
| | - Mariano J. Alvarez
- Department of Systems Biology, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- DarwinHealth Inc. New York
| | - Andrew L. Kung
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY USA 10065
| | - Andrea Califano
- Department of Systems Biology, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 Saint Nicholas Ave, New York, NY USA 10032
- Department of Medicine, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY USA 10032
- Department of Biochemistry & Molecular Biophysics, Columbia University Irving Medical Center, 701 W 168th Street, New York, NY USA 10032
- Department of Biomedical Informatics, Columbia University Irving Medical Center, 622 W 168th Street, New York, NY USA 10032
- J.P. Sulzberger Columbia Genome Center, Columbia University Irving Medical Center, 622 W 168th Street, New York, NY USA 10032
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25
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Xu P, Yang J, Chen Z, Zhang X, Xia Y, Wang S, Wang W, Xu Z. N6-methyladenosine modification of CENPF mRNA facilitates gastric cancer metastasis via regulating FAK nuclear export. Cancer Commun (Lond) 2023. [PMID: 37256823 DOI: 10.1002/cac2.12443] [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: 11/10/2022] [Revised: 02/23/2023] [Accepted: 05/16/2023] [Indexed: 06/02/2023] Open
Abstract
BACKGROUND N6-methyladenosine (m6 A) modification is the most common modification that occurs in eukaryotes. Although substantial effort has been made in the prevention and treatment of gastric cancer (GC) in recent years, the prognosis of GC patients remains unsatisfactory. The regulatory mechanism between m6 A modification and GC development needs to be elucidated. In this study, we examined m6 A modification and the downstream mechanism in GC. METHODS Dot blotting assays, The Cancer Genome Atlas analysis, and quantitative real-time PCR (qRT-PCR) were used to measure the m6 A levels in GC tissues. Methylated RNA-immunoprecipitation sequencing and RNA sequencing were performed to identify the targets of m6 A modification. Western blotting, Transwell, wound healing, and angiogenesis assays were conducted to examine the role of centromere protein F (CENPF) in GC in vitro. Xenograft, immunohistochemistry, and in vivo metastasis experiments were conducted to examine the role of CENPF in GC in vivo. Methylated RNA-immunoprecipitation-qPCR, RNA immunoprecipitation-qPCR and RNA pulldown assays were used to verify the m6 A modification sites of CENPF. Gain/loss-of-function and rescue experiments were conducted to determine the relationship between CENPF and the mitogen-activated protein kinase (MAPK) signaling pathway in GC cells. Coimmunoprecipitation, mass spectrometry, qRT-PCR, and immunofluorescence assays were performed to explore the proteins that interact with CENPF and elucidate the regulatory mechanisms between them. RESULTS CENPF was upregulated in GC and facilitated the metastasis of GC both in vitro and in vivo. Mechanistically, increased m6 A modification of CENPF was mediated by methyltransferase 3, and this modified molecule could be recognized by heterogeneous nuclear ribonucleoprotein A2/B1 (HNRNPA2B1), thereby promoting its mRNA stability. In addition, the metastatic phenotype of CENPF was dependent on the MAPK signaling pathway. Furthermore, CENPF could bind to FAK and promote its localization in the cytoplasm. Moreover, we discovered that high expression of CENPF was related to lymphatic invasion and overall survival in GC patients. CONCLUSIONS Our findings revealed that increased m6 A modification of CENPF facilitates the metastasis and angiogenesis of GC through the CENPF/FAK/MAPK and epithelial-mesenchymal transition axis. CENPF expression was correlated with the clinical features of GC patients; therefore, CENPF may serve as a prognostic marker of GC.
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Affiliation(s)
- Penghui Xu
- Department of General Surgery, the First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, P. R. China
| | - Jing Yang
- Department of General Surgery, the First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, P. R. China
| | - Zetian Chen
- Department of General Surgery, the First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, P. R. China
| | - Xing Zhang
- Department of General Surgery, the First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, P. R. China
| | - Yiwen Xia
- Department of General Surgery, the First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, P. R. China
| | - Sen Wang
- Department of General Surgery, the First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, P. R. China
| | - Weizhi Wang
- Department of General Surgery, the First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, P. R. China
| | - Zekuan Xu
- Department of General Surgery, the First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, P. R. China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, Jiangsu, P. R. China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, Nanjing Medical University, Nanjing, Jiangsu, P. R. China
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26
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Cao Z, Zeng L, Wang Z, Wen X, Zhang J. Integrated pan-cancer analysis of centromere protein F and experimental verification of its role and clinical significance in cholangiocarcinoma. Funct Integr Genomics 2023; 23:190. [PMID: 37247093 DOI: 10.1007/s10142-023-01108-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 05/12/2023] [Accepted: 05/16/2023] [Indexed: 05/30/2023]
Abstract
Centromere protein F (CENPF), a protein related to the cell cycle, is a key part of the kinetochore-centromere complex involved in cell division, differentiation, and proliferation. CENPF expression is upregulated in various types of cancer and plays a role in oncogenesis and tumor progression. However, the expression pattern, prognostic significance, and biological role of CENPF in these cancer types are poorly understood. Therefore, in this study, we conducted a pan-cancer analysis of the role of CENPF, which we considered a cut point, to investigate its utility as a prognostic and immunological indicator for malignancies, especially cholangiocarcinoma (CCA). Using systematic bioinformatics analysis, we investigated the expression patterns, prognostic relevance, molecular function, signaling pathways, and immune infiltration patterns of CENPF in the pan-cancer analysis. Western blot and immunohistochemistry staining assays were performed to evaluate the expression profiles of CENPF in CCA tissues and cell lines. Furthermore, Cell Counting Kit-8, colony formation, wound healing, and Transwell assays, as well as CCA xenograft mouse models, were employed to determine the role and function of CENPF in CCA. The results showed that CENPF expression was upregulated and strongly linked to a worse prognosis in most cancer types. CENPF expression was substantially associated with immune cell infiltration, tumor microenvironment, genes related to immune checkpoints, tumor mutational burden, microsatellite instability, and immunotherapy response in diverse malignancies. CENPF was considerably overexpressed in CCA tissues and cells. Functionally, inhibiting CENPF expression significantly reduced the proliferating, migrating, and invading abilities of CCA cells. CENPF expression also affects the prognosis of multiple malignancies, which is highly associated with immunotherapy response and tumor immune cell infiltration. In conclusion, CENPF may act as an oncogene and an immune infiltration-related biomarker and can accelerate tumor development in CCA.
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Affiliation(s)
- Zhenyu Cao
- Department of General Surgery, The Second Xiangya Hospital of Central South University, No. 139 Renminzhong Road, Changsha, 410012, China
| | - Liyun Zeng
- Department of General Surgery, The Second Xiangya Hospital of Central South University, No. 139 Renminzhong Road, Changsha, 410012, China
| | - Zicheng Wang
- Department of General Surgery, The Second Xiangya Hospital of Central South University, No. 139 Renminzhong Road, Changsha, 410012, China
| | - Xueyi Wen
- Department of General Surgery, The Second Xiangya Hospital of Central South University, No. 139 Renminzhong Road, Changsha, 410012, China
| | - Ju Zhang
- Department of General Surgery, The Second Xiangya Hospital of Central South University, No. 139 Renminzhong Road, Changsha, 410012, China.
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27
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Taylor MA, Kandyba E, Halliwill K, Delrosario R, Koroshkin M, Goodarzi H, Quigley D, Li YR, Wu D, Bollam S, Mirzoeva O, Akhurst RJ, Balmain A. Gene networks reveal stem-cell state convergence during preneoplasia and progression to malignancy in multistage skin carcinogenesis. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.05.08.539863. [PMID: 37215032 PMCID: PMC10197547 DOI: 10.1101/2023.05.08.539863] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
Adult mammalian stem cells play critical roles in normal tissue homeostasis, as well as in tumor development, by contributing to cell heterogeneity, plasticity, and development of drug resistance. The relationship between different types of normal and cancer stem cells is highly controversial and poorly understood. Here, we carried out gene expression network analysis of normal and tumor samples from genetically heterogeneous mice to create network metagenes for visualization of stem-cell networks, rather than individual stem-cell markers, at the single-cell level during multistage carcinogenesis. We combined this approach with lineage tracing and single-cell RNASeq of stem cells and their progeny, identifying a previously unrecognized hierarchy in which Lgr6+ stem cells from tumors generate progeny that express a range of other stem-cell markers including Sox2, Pitx1, Foxa1, Klf5, and Cd44. Our data identify a convergence of multiple stem-cell and tumor-suppressor pathways in benign tumor cells expressing markers of lineage plasticity and oxidative stress. This same single-cell population expresses network metagenes corresponding to markers of cancer drug resistance in human tumors of the skin, lung and prostate. Treatment of mouse squamous carcinomas in vivo with the chemotherapeutic cis-platin resulted in elevated expression of the genes that mark this cell population. Our data have allowed us to create a simplified model of multistage carcinogenesis that identifies distinct stem-cell states at different stages of tumor progression, thereby identifying networks involved in lineage plasticity, drug resistance, and immune surveillance, providing a rich source of potential targets for cancer therapy.
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Affiliation(s)
- Mark A. Taylor
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco; San Francisco, 94158, USA
| | - Eve Kandyba
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco; San Francisco, 94158, USA
| | - Kyle Halliwill
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco; San Francisco, 94158, USA
| | - Reyno Delrosario
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco; San Francisco, 94158, USA
| | - Matvei Koroshkin
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco; San Francisco, 94158, USA
| | - Hani Goodarzi
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco; San Francisco, 94158, USA
| | - David Quigley
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco; San Francisco, 94158, USA
| | - Yun Rose Li
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco; San Francisco, 94158, USA
| | - Di Wu
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco; San Francisco, 94158, USA
| | - Saumya Bollam
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco; San Francisco, 94158, USA
| | - Olga Mirzoeva
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco; San Francisco, 94158, USA
| | - Rosemary J. Akhurst
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco; San Francisco, 94158, USA
| | - Allan Balmain
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco; San Francisco, 94158, USA
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28
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Obradovic A, Ager C, Turunen M, Nirschl T, Khosravi-Maharlooei M, Iuga A, Jackson CM, Yegnasubramanian S, Tomassoni L, Fernandez EC, McCann P, Rogava M, DeMarzo AM, Kochel CM, Allaf M, Bivalacqua T, Lim M, Realubit R, Karan C, Drake CG, Califano A. Systematic elucidation and pharmacological targeting of tumor-infiltrating regulatory T cell master regulators. Cancer Cell 2023; 41:933-949.e11. [PMID: 37116491 PMCID: PMC10193511 DOI: 10.1016/j.ccell.2023.04.003] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Revised: 09/13/2022] [Accepted: 04/06/2023] [Indexed: 04/30/2023]
Abstract
Due to their immunosuppressive role, tumor-infiltrating regulatory T cells (TI-Tregs) represent attractive immuno-oncology targets. Analysis of TI vs. peripheral Tregs (P-Tregs) from 36 patients, across four malignancies, identified 17 candidate master regulators (MRs) as mechanistic determinants of TI-Treg transcriptional state. Pooled CRISPR-Cas9 screening in vivo, using a chimeric hematopoietic stem cell transplant model, confirmed the essentiality of eight MRs in TI-Treg recruitment and/or retention without affecting other T cell subtypes, and targeting one of the most significant MRs (Trps1) by CRISPR KO significantly reduced ectopic tumor growth. Analysis of drugs capable of inverting TI-Treg MR activity identified low-dose gemcitabine as the top prediction. Indeed, gemcitabine treatment inhibited tumor growth in immunocompetent but not immunocompromised allografts, increased anti-PD-1 efficacy, and depleted MR-expressing TI-Tregs in vivo. This study provides key insight into Treg signaling, specifically in the context of cancer, and a generalizable strategy to systematically elucidate and target MR proteins in immunosuppressive subpopulations.
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Affiliation(s)
- Aleksandar Obradovic
- Columbia Center for Translational Immunology, Irving Medical Center, New York, NY, USA; Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, USA
| | - Casey Ager
- Columbia Center for Translational Immunology, Irving Medical Center, New York, NY, USA; Department of Hematology Oncology, Columbia University Irving Medical Center, New York, NY, USA
| | - Mikko Turunen
- Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, USA
| | - Thomas Nirschl
- Department of Oncology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | | | - Alina Iuga
- Department of Pathology, UNC School of Medicine, Chapel Hill, NC, USA
| | - Christopher M Jackson
- Department of Neurosurgery, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | | | - Lorenzo Tomassoni
- Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, USA
| | - Ester Calvo Fernandez
- Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, USA
| | - Patrick McCann
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY, USA
| | - Meri Rogava
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY, USA
| | - Angelo M DeMarzo
- Department of Oncology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Urology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Pathology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Christina M Kochel
- Department of Oncology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Mohamad Allaf
- Department of Urology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Trinity Bivalacqua
- Department of Urology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Michael Lim
- Department of Neurosurgery, Stanford School of Medicine, Palo Alto, CA, USA
| | - Ronald Realubit
- Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, USA; J.P. Sulzberger Columbia Genome Center, Columbia University, New York, NY, USA; Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY, USA
| | - Charles Karan
- Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, USA; J.P. Sulzberger Columbia Genome Center, Columbia University, New York, NY, USA; Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY, USA
| | - Charles G Drake
- Columbia Center for Translational Immunology, Irving Medical Center, New York, NY, USA; Department of Oncology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Andrea Califano
- Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, USA; Department of Oncology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; J.P. Sulzberger Columbia Genome Center, Columbia University, New York, NY, USA; Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY, USA; Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA; Department of Biochemistry and Molecular Biophysics, Columbia University Irving Medical Center, New York, NY, USA; Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, USA.
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29
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Adams MN, Croft LV, Urquhart A, Saleem MAM, Rockstroh A, Duijf PHG, Thomas PB, Ferguson GP, Najib IM, Shah ET, Bolderson E, Nagaraj S, Williams ED, Nelson CC, O'Byrne KJ, Richard DJ. hSSB1 (NABP2/OBFC2B) modulates the DNA damage and androgen-induced transcriptional response in prostate cancer. Prostate 2023; 83:628-640. [PMID: 36811381 PMCID: PMC10953336 DOI: 10.1002/pros.24496] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2022] [Revised: 12/21/2022] [Accepted: 01/23/2023] [Indexed: 02/24/2023]
Abstract
BACKGROUND Activation and regulation of androgen receptor (AR) signaling and the DNA damage response impact the prostate cancer (PCa) treatment modalities of androgen deprivation therapy (ADT) and radiotherapy. Here, we have evaluated a role for human single-strand binding protein 1 (hSSB1/NABP2) in modulation of the cellular response to androgens and ionizing radiation (IR). hSSB1 has defined roles in transcription and maintenance of genome stability, yet little is known about this protein in PCa. METHODS We correlated hSSB1 with measures of genomic instability across available PCa cases from The Cancer Genome Atlas (TCGA). Microarray and subsequent pathway and transcription factor enrichment analysis were performed on LNCaP and DU145 prostate cancer cells. RESULTS Our data demonstrate that hSSB1 expression in PCa correlates with measures of genomic instability including multigene signatures and genomic scars that are reflective of defects in the repair of DNA double-strand breaks via homologous recombination. In response to IR-induced DNA damage, we demonstrate that hSSB1 regulates cellular pathways that control cell cycle progression and the associated checkpoints. In keeping with a role for hSSB1 in transcription, our analysis revealed that hSSB1 negatively modulates p53 and RNA polymerase II transcription in PCa. Of relevance to PCa pathology, our findings highlight a transcriptional role for hSSB1 in regulating the androgen response. We identified that AR function is predicted to be impacted by hSSB1 depletion, whereby this protein is required to modulate AR gene activity in PCa. CONCLUSIONS Our findings point to a key role for hSSB1 in mediating the cellular response to androgen and DNA damage via modulation of transcription. Exploiting hSSB1 in PCa might yield benefits as a strategy to ensure a durable response to ADT and/or radiotherapy and improved patient outcomes.
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Affiliation(s)
- Mark N. Adams
- School of Biomedical Sciences, Faculty of Health, Translational Research InstituteQueensland University of TechnologyWoolloongabbaQueenslandAustralia
| | - Laura V. Croft
- School of Biomedical Sciences, Faculty of Health, Translational Research InstituteQueensland University of TechnologyWoolloongabbaQueenslandAustralia
| | - Aaron Urquhart
- School of Biomedical Sciences, Faculty of Health, Translational Research InstituteQueensland University of TechnologyWoolloongabbaQueenslandAustralia
| | | | - Anja Rockstroh
- School of Biomedical Sciences, Faculty of Health, Translational Research InstituteQueensland University of TechnologyWoolloongabbaQueenslandAustralia
| | - Pascal H. G. Duijf
- School of Biomedical Sciences, Faculty of Health, Translational Research InstituteQueensland University of TechnologyWoolloongabbaQueenslandAustralia
- Centre for Data ScienceQueensland University of TechnologyBrisbaneQueenslandAustralia
- Institute of Clinical MedicineUniversity of OsloOsloNorway
- Department of Medical GeneticsOslo University HospitalOsloNorway
- Diamantina InstituteThe University of QueenslandBrisbaneQueenslandAustralia
| | - Patrick B. Thomas
- School of Biomedical Sciences, Faculty of Health, Translational Research InstituteQueensland University of TechnologyWoolloongabbaQueenslandAustralia
- Queensland Bladder Cancer InitiativeWoolloongabbaQueenslandAustralia
- Australian Prostate Cancer Research Centre – QueenslandBrisbaneQueenslandAustralia
| | - Genevieve P. Ferguson
- School of Biomedical Sciences, Faculty of Health, Translational Research InstituteQueensland University of TechnologyWoolloongabbaQueenslandAustralia
| | - Idris Mohd Najib
- School of Biomedical Sciences, Faculty of Health, Translational Research InstituteQueensland University of TechnologyWoolloongabbaQueenslandAustralia
| | - Esha T. Shah
- School of Biomedical Sciences, Faculty of Health, Translational Research InstituteQueensland University of TechnologyWoolloongabbaQueenslandAustralia
| | - Emma Bolderson
- School of Biomedical Sciences, Faculty of Health, Translational Research InstituteQueensland University of TechnologyWoolloongabbaQueenslandAustralia
| | - Shivashankar Nagaraj
- School of Biomedical Sciences, Faculty of Health, Translational Research InstituteQueensland University of TechnologyWoolloongabbaQueenslandAustralia
| | - Elizabeth D. Williams
- School of Biomedical Sciences, Faculty of Health, Translational Research InstituteQueensland University of TechnologyWoolloongabbaQueenslandAustralia
- Queensland Bladder Cancer InitiativeWoolloongabbaQueenslandAustralia
- Australian Prostate Cancer Research Centre – QueenslandBrisbaneQueenslandAustralia
| | - Colleen C. Nelson
- School of Biomedical Sciences, Faculty of Health, Translational Research InstituteQueensland University of TechnologyWoolloongabbaQueenslandAustralia
- Australian Prostate Cancer Research Centre – QueenslandBrisbaneQueenslandAustralia
| | - Kenneth J. O'Byrne
- School of Biomedical Sciences, Faculty of Health, Translational Research InstituteQueensland University of TechnologyWoolloongabbaQueenslandAustralia
- Australian Prostate Cancer Research Centre – QueenslandBrisbaneQueenslandAustralia
- Cancer ServicesPrincess Alexandra HospitalWoolloongabbaQueenslandAustralia
| | - Derek J. Richard
- School of Biomedical Sciences, Faculty of Health, Translational Research InstituteQueensland University of TechnologyWoolloongabbaQueenslandAustralia
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30
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Chen J, Lian Y, Zhao B, Han J, Li X, Wu J, Hou M, Yue M, Zhang K, Liu G, Tu M, Ruan W, Ji S, An Y. Deciphering the Prognostic and Therapeutic Significance of Cell Cycle Regulator CENPF: A Potential Biomarker of Prognosis and Immune Microenvironment for Patients with Liposarcoma. Int J Mol Sci 2023; 24:ijms24087010. [PMID: 37108172 PMCID: PMC10139200 DOI: 10.3390/ijms24087010] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 03/30/2023] [Accepted: 03/30/2023] [Indexed: 04/29/2023] Open
Abstract
Liposarcoma (LPS) is one of the most common subtypes of sarcoma with a high recurrence rate. CENPF is a regulator of cell cycle, differential expression of which has been shown to be related with various cancers. However, the prognostic value of CENPF in LPS has not been deciphered yet. Using data from TCGA and GEO datasets, the expression difference of CENPF and its effects on the prognosis or immune infiltration of LPS patients were analyzed. As results show, CENPF was significantly upregulated in LPS compared to normal tissues. Survival curves illustrated that high CENPF expression was significantly associated with adverse prognosis. Univariate and multivariate analysis suggested that CENPF expression could be an independent risk factor for LPS. CENPF was closely related to chromosome segregation, microtubule binding and cell cycle. Immune infiltration analysis elucidated a negative correlation between CENPF expression and immune score. In conclusion, CENPF not only could be considered as a potential prognostic biomarker but also a potential malignant indicator of immune infiltration-related survival for LPS. The elevated expression of CENPF reveals an unfavorable prognostic outcome and worse immune score. Thus, therapeutically targeting CENPF combined with immunotherapy might be an attractive strategy for the treatment of LPS.
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Affiliation(s)
- Jiahao Chen
- Cell Signal Transduction Laboratory, Department of Biochemistry and Molecular Biology, School of Basic Medicine, Bioinformatics Center, Henan University, Kaifeng 475004, China
- Kaifeng Key Laboratory of Cell Signal Transduction, Henan Provincial Engineering Center for Tumor Molecular Medicine, Kaifeng 475004, China
| | - Yingying Lian
- Cell Signal Transduction Laboratory, Department of Biochemistry and Molecular Biology, School of Basic Medicine, Bioinformatics Center, Henan University, Kaifeng 475004, China
- Kaifeng Key Laboratory of Cell Signal Transduction, Henan Provincial Engineering Center for Tumor Molecular Medicine, Kaifeng 475004, China
| | - Binbin Zhao
- Cell Signal Transduction Laboratory, Department of Biochemistry and Molecular Biology, School of Basic Medicine, Bioinformatics Center, Henan University, Kaifeng 475004, China
- Kaifeng Key Laboratory of Cell Signal Transduction, Henan Provincial Engineering Center for Tumor Molecular Medicine, Kaifeng 475004, China
| | - Jiayang Han
- Cell Signal Transduction Laboratory, Department of Biochemistry and Molecular Biology, School of Basic Medicine, Bioinformatics Center, Henan University, Kaifeng 475004, China
- Kaifeng Key Laboratory of Cell Signal Transduction, Henan Provincial Engineering Center for Tumor Molecular Medicine, Kaifeng 475004, China
| | - Xinyu Li
- Cell Signal Transduction Laboratory, Department of Biochemistry and Molecular Biology, School of Basic Medicine, Bioinformatics Center, Henan University, Kaifeng 475004, China
- Kaifeng Key Laboratory of Cell Signal Transduction, Henan Provincial Engineering Center for Tumor Molecular Medicine, Kaifeng 475004, China
| | - Jialin Wu
- Cell Signal Transduction Laboratory, Department of Biochemistry and Molecular Biology, School of Basic Medicine, Bioinformatics Center, Henan University, Kaifeng 475004, China
- Kaifeng Key Laboratory of Cell Signal Transduction, Henan Provincial Engineering Center for Tumor Molecular Medicine, Kaifeng 475004, China
| | - Mengwen Hou
- Cell Signal Transduction Laboratory, Department of Biochemistry and Molecular Biology, School of Basic Medicine, Bioinformatics Center, Henan University, Kaifeng 475004, China
- Kaifeng Key Laboratory of Cell Signal Transduction, Henan Provincial Engineering Center for Tumor Molecular Medicine, Kaifeng 475004, China
| | - Man Yue
- Cell Signal Transduction Laboratory, Department of Biochemistry and Molecular Biology, School of Basic Medicine, Bioinformatics Center, Henan University, Kaifeng 475004, China
- Kaifeng Key Laboratory of Cell Signal Transduction, Henan Provincial Engineering Center for Tumor Molecular Medicine, Kaifeng 475004, China
| | - Kaifeng Zhang
- Cell Signal Transduction Laboratory, Department of Biochemistry and Molecular Biology, School of Basic Medicine, Bioinformatics Center, Henan University, Kaifeng 475004, China
- Kaifeng Key Laboratory of Cell Signal Transduction, Henan Provincial Engineering Center for Tumor Molecular Medicine, Kaifeng 475004, China
| | - Guangchao Liu
- Cell Signal Transduction Laboratory, Department of Biochemistry and Molecular Biology, School of Basic Medicine, Bioinformatics Center, Henan University, Kaifeng 475004, China
- Kaifeng Key Laboratory of Cell Signal Transduction, Henan Provincial Engineering Center for Tumor Molecular Medicine, Kaifeng 475004, China
| | - Mengjie Tu
- Cell Signal Transduction Laboratory, Department of Biochemistry and Molecular Biology, School of Basic Medicine, Bioinformatics Center, Henan University, Kaifeng 475004, China
- Kaifeng Key Laboratory of Cell Signal Transduction, Henan Provincial Engineering Center for Tumor Molecular Medicine, Kaifeng 475004, China
| | - Weimin Ruan
- Henan Key Laboratory of Brain Targeted Bio-Nanomedicine, School of Life Sciences & School of Pharmacy, Henan University, Kaifeng 475004, China
- Henan-Macquarie University Joint Centre for Biomedical Innovation, School of Life Sciences, Henan University, Kaifeng 475004, China
| | - Shaoping Ji
- Cell Signal Transduction Laboratory, Department of Biochemistry and Molecular Biology, School of Basic Medicine, Bioinformatics Center, Henan University, Kaifeng 475004, China
- Kaifeng Key Laboratory of Cell Signal Transduction, Henan Provincial Engineering Center for Tumor Molecular Medicine, Kaifeng 475004, China
| | - Yang An
- Cell Signal Transduction Laboratory, Department of Biochemistry and Molecular Biology, School of Basic Medicine, Bioinformatics Center, Henan University, Kaifeng 475004, China
- Kaifeng Key Laboratory of Cell Signal Transduction, Henan Provincial Engineering Center for Tumor Molecular Medicine, Kaifeng 475004, China
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31
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Alegre-Martí A, Jiménez-Panizo A, Martínez-Tébar A, Poulard C, Peralta-Moreno MN, Abella M, Antón R, Chiñas M, Eckhard U, Piulats JM, Rojas AM, Fernández-Recio J, Rubio-Martínez J, Le Romancer M, Aytes Á, Fuentes-Prior P, Estébanez-Perpiñá E. A hotspot for posttranslational modifications on the androgen receptor dimer interface drives pathology and anti-androgen resistance. SCIENCE ADVANCES 2023; 9:eade2175. [PMID: 36921044 PMCID: PMC10017050 DOI: 10.1126/sciadv.ade2175] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Accepted: 02/15/2023] [Indexed: 06/18/2023]
Abstract
Mutations of the androgen receptor (AR) associated with prostate cancer and androgen insensitivity syndrome may profoundly influence its structure, protein interaction network, and binding to chromatin, resulting in altered transcription signatures and drug responses. Current structural information fails to explain the effect of pathological mutations on AR structure-function relationship. Here, we have thoroughly studied the effects of selected mutations that span the complete dimer interface of AR ligand-binding domain (AR-LBD) using x-ray crystallography in combination with in vitro, in silico, and cell-based assays. We show that these variants alter AR-dependent transcription and responses to anti-androgens by inducing a previously undescribed allosteric switch in the AR-LBD that increases exposure of a major methylation target, Arg761. We also corroborate the relevance of residues Arg761 and Tyr764 for AR dimerization and function. Together, our results reveal allosteric coupling of AR dimerization and posttranslational modifications as a disease mechanism with implications for precision medicine.
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Affiliation(s)
- Andrea Alegre-Martí
- Structural Biology of Nuclear Receptors, Department of Biochemistry and Molecular Biomedicine, Faculty of Biology, University of Barcelona (UB), 08028 Barcelona, Spain
- Institute of Biomedicine of the University of Barcelona (IBUB), University of Barcelona (UB), 08028 Barcelona, Spain
| | - Alba Jiménez-Panizo
- Structural Biology of Nuclear Receptors, Department of Biochemistry and Molecular Biomedicine, Faculty of Biology, University of Barcelona (UB), 08028 Barcelona, Spain
- Institute of Biomedicine of the University of Barcelona (IBUB), University of Barcelona (UB), 08028 Barcelona, Spain
| | - Adrián Martínez-Tébar
- Programs of Molecular Mechanisms and Experimental Therapeutics in Oncology (ONCOBell) and Cancer Therapeutics Resistance (ProCURE), Catalan Institute of Oncology, Bellvitge Institute for Biomedical Research, 08908 Barcelona, Spain
| | - Coralie Poulard
- Cancer Research Center of Lyon, CNRS UMR5286, Inserm U1502, University of Lyon, 69000 Lyon, France
| | - M. Núria Peralta-Moreno
- Department of Materials Science and Physical Chemistry, Faculty of Chemistry and Institut de Recerca en Química Teorica i Computacional (IQTCUB), 08028 Barcelona, Spain
| | - Montserrat Abella
- Structural Biology of Nuclear Receptors, Department of Biochemistry and Molecular Biomedicine, Faculty of Biology, University of Barcelona (UB), 08028 Barcelona, Spain
- Institute of Biomedicine of the University of Barcelona (IBUB), University of Barcelona (UB), 08028 Barcelona, Spain
| | - Rosa Antón
- Biomedical Research Institute Sant Pau (IIB Sant Pau), 08041 Barcelona, Spain
| | - Marcos Chiñas
- Programs of Molecular Mechanisms and Experimental Therapeutics in Oncology (ONCOBell) and Cancer Therapeutics Resistance (ProCURE), Catalan Institute of Oncology, Bellvitge Institute for Biomedical Research, 08908 Barcelona, Spain
- Universidad Nacional Autónoma de México, Centro de Ciencias Genómicas, Cuernavaca, 61740 Morelos, Mexico
| | - Ulrich Eckhard
- Department of Structural and Molecular Biology, Molecular Biology Institute of Barcelona (IBMB-CSIC), 08028 Barcelona, Spain
| | - Josep M. Piulats
- Programs of Molecular Mechanisms and Experimental Therapeutics in Oncology (ONCOBell) and Cancer Therapeutics Resistance (ProCURE), Catalan Institute of Oncology, Bellvitge Institute for Biomedical Research, 08908 Barcelona, Spain
| | - Ana M. Rojas
- Computational Biology and Bioinformatics, Andalusian Center for Developmental Biology (CABD-CSIC), 41013 Sevilla, Spain
| | - Juan Fernández-Recio
- Instituto de Ciencias de la Vid y del Vino (ICVV-CSIC), CSIC-UR-Gobierno de La Rioja, 26007 Logroño, Spain
| | - Jaime Rubio-Martínez
- Department of Materials Science and Physical Chemistry, Faculty of Chemistry and Institut de Recerca en Química Teorica i Computacional (IQTCUB), 08028 Barcelona, Spain
| | - Muriel Le Romancer
- Cancer Research Center of Lyon, CNRS UMR5286, Inserm U1502, University of Lyon, 69000 Lyon, France
| | - Álvaro Aytes
- Programs of Molecular Mechanisms and Experimental Therapeutics in Oncology (ONCOBell) and Cancer Therapeutics Resistance (ProCURE), Catalan Institute of Oncology, Bellvitge Institute for Biomedical Research, 08908 Barcelona, Spain
| | - Pablo Fuentes-Prior
- Biomedical Research Institute Sant Pau (IIB Sant Pau), 08041 Barcelona, Spain
| | - Eva Estébanez-Perpiñá
- Structural Biology of Nuclear Receptors, Department of Biochemistry and Molecular Biomedicine, Faculty of Biology, University of Barcelona (UB), 08028 Barcelona, Spain
- Institute of Biomedicine of the University of Barcelona (IBUB), University of Barcelona (UB), 08028 Barcelona, Spain
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32
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Weiner AB, Yu CY, Kini M, Liu Y, Davicioni E, Mitrofanova A, Lotan TL, Schaeffer EM. High intratumoral plasma cells content in primary prostate cancer defines a subset of tumors with potential susceptibility to immune-based treatments. Prostate Cancer Prostatic Dis 2023; 26:105-112. [PMID: 35568781 PMCID: PMC10353550 DOI: 10.1038/s41391-022-00547-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2022] [Revised: 04/09/2022] [Accepted: 04/13/2022] [Indexed: 11/08/2022]
Abstract
BACKGROUND Data on advanced prostate cancer (PCa) suggest more prior systemic therapies might reduce tumor immune responsiveness. In treatment-naïve primary PCa, recent work correlated intratumoral plasma cell content with enhanced tumor immune-responsiveness. We sought to identify features of localized PCa at a high risk of recurrence following local treatment with high plasma cell content to help focus future immune-based neoadjuvant trials. METHODS We performed retrospective analyses of molecular profiles from three independent cohorts of over 1300 prostate tumors. We used Wilcoxon Rank Sum to compare molecular pathways between tumors with high and low intratumoral plasma cell content and multivariable Cox proportional hazards regression analyses to assess metastasis-free survival. RESULTS We validated an expression-based signature for intratumoral plasma cell content in 113 primary prostate tumors with both RNA-expression data and digital image quantification of CD138+ cells (plasma cell marker) based on immunohistochemisty. The signature showed castration-resistant tumors (n = 101) with more prior systemic therapies contained lower plasma cell content. In high-grade primary PCa, tumors with high plasma cell content were associated with increased predicted response to immunotherapy and decreased response to androgen-deprivation therapy. Master regulator analyses identified upregulated transcription factors implicated in immune (e.g. SKAP1, IL-16, and HCLS1), and B-cell activity (e.g. VAV1, SP140, and FLI-1) in plasma cell-high tumors. Master regulators overactivated in tumors with low plasma cell content were associated with shorter metastasis-free survival following radical prostatectomy. CONCLUSIONS Markers of plasma cell activity might be leveraged to augment clinical trial targeting and selection and better understand the potential for immune-based treatments in patients with PCa at a high risk of recurrence following local treatment.
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Affiliation(s)
- Adam B Weiner
- Department of Urology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Christina Y Yu
- Department of Biomedical and Health Informatics, School of Health Professions, Rutgers, The State University of New Jersey, Newark, NJ, USA
| | - Mitali Kini
- Department of Urology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Yang Liu
- Veracyte, Inc, San Diego, CA, USA
| | | | - Antonina Mitrofanova
- Department of Biomedical and Health Informatics, School of Health Professions, Rutgers, The State University of New Jersey, Newark, NJ, USA
- Rutgers Cancer Institute of New Jersey, Rutgers, The State University of New Jersey, New Brunswick, NJ, USA
| | - Tamara L Lotan
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Edward M Schaeffer
- Department of Urology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
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33
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Zhang J, Wang Z, Liu Z, Chen Z, Jiang J, Ji Y, Zhang Y, Zhu H, Zheng B. CENPF promotes the proliferation of renal cell carcinoma in vitro. Transl Androl Urol 2023; 12:320-329. [PMID: 36915885 PMCID: PMC10006003 DOI: 10.21037/tau-22-797] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Accepted: 02/06/2023] [Indexed: 02/26/2023] Open
Abstract
Background Metastasis and drug resistance are the main causes of renal cell carcinoma (RCC) mortality. Currently, there are still a limited number of targeted therapies against advanced RCC. It is critical to develop new effective clinical biomarkers and drug targets in RCC. Several studies have shown that centromere protein F (CENPF), a microtubule binding protein, promotes cancer progression in various types of cancer. The purpose of this study was to explore the role of CENPF in RCC. Methods Peripheral blood and corresponding tissue samples of 23 RCC patients and 23 normal physical examination patients who were treated in our hospital from 2018 to 2020 were collected, and CENPF expression was detected by quantitative real-time polymerase chain reaction (qRT-PCR), western blot, and immunohistochemical (IHC) methods. The expression of CENPF was downregulated by small interfering RNA (siRNA) transfection, and the proliferation of the corresponding RCC cells and the corresponding cell cycle were detected. Results According to The Cancer Genome Atlas (TCGA) data analysis, CENPF is highly expressed in RCC, and its expression level is significantly related to the overall survival (OS) and recurrence-free survival (RFS) of RCC. In addition, high expression of CENPF was found in the tissues of RCC patients in our hospital. Knockdown of CENPF significantly reduced the proliferation of RCC cells in vitro, and knockdown of CENPF regulated the cell cycle by inhibiting the expression of cyclins such as CDK4, CDK6, and CyclinD1. Conclusions CENPF can be used as an independent prognostic factor of RCC and regulate the proliferation ability and cell cycle of RCC cells. CENPF is a potential oncogene and prognostic marker in RCC.
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Affiliation(s)
- Ji Zhang
- Department of Urology, Nantong First People's Hospital, Second Affiliated Hospital of Nantong University, Nantong, China
| | - Zhenyu Wang
- Department of Urology, Nantong First People's Hospital, Second Affiliated Hospital of Nantong University, Nantong, China
| | - Zhenmin Liu
- Department of Urology, Nantong First People's Hospital, Second Affiliated Hospital of Nantong University, Nantong, China
| | - Zhan Chen
- Department of Urology, Nantong First People's Hospital, Second Affiliated Hospital of Nantong University, Nantong, China
| | - Jie Jiang
- Department of Urology, Nantong First People's Hospital, Second Affiliated Hospital of Nantong University, Nantong, China
| | - Yuhang Ji
- Department of Urology, Nantong First People's Hospital, Second Affiliated Hospital of Nantong University, Nantong, China
| | - Yong Zhang
- Department of Urology, Nantong First People's Hospital, Second Affiliated Hospital of Nantong University, Nantong, China
| | - Hua Zhu
- Department of Urology, Nantong First People's Hospital, Second Affiliated Hospital of Nantong University, Nantong, China
| | - Bing Zheng
- Department of Urology, Nantong First People's Hospital, Second Affiliated Hospital of Nantong University, Nantong, China
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Luo F, Tshering LF, Tutuska K, Szenk M, Rubel D, Rail JG, Russ S, Liu J, Nemajerova A, Balázsi G, Talos F. A luminal intermediate cell state maintains long-term prostate homeostasis and contributes to tumorigenesis. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.02.24.529762. [PMID: 36909551 PMCID: PMC10002646 DOI: 10.1101/2023.02.24.529762] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/02/2023]
Abstract
Cellular heterogeneity poses tremendous challenges for developing cell-targeted therapies and biomarkers of clinically significant prostate cancer. The origins of this heterogeneity within normal adult and aging tissue remain unknown, leaving cellular states and transcriptional programs that allow expansions of malignant clones unidentified. To define cell states that contribute to early cancer development, we performed clonal analyses and single cell transcriptomics of normal prostate from genetically-engineered mouse models. We uncovered a luminal transcriptional state with a unique "basal-like" Wnt/p63 signaling ( luminal intermediate , LumI) which contributes to the maintenance of long-term prostate homeostasis. Moreover, LumI cells greatly expand during early stages of tumorigenesis in several mouse models of prostate cancer. Genetic ablation of p63 in vivo in luminal cells reduced the formation of aggressive clones in mouse prostate tumor models. Finally, the LumI cells and Wnt signaling appear to significantly increase in human aging prostate and prostate cancer samples, highlighting the importance of this hybrid cell state for human pathologies with potential translational impact.
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35
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Vasciaveo A, Arriaga JM, de Almeida FN, Zou M, Douglass EF, Picech F, Shibata M, Rodriguez-Calero A, de Brot S, Mitrofanova A, Chua CW, Karan C, Realubit R, Pampou S, Kim JY, Afari SN, Mukhammadov T, Zanella L, Corey E, Alvarez MJ, Rubin MA, Shen MM, Califano A, Abate-Shen C. OncoLoop: A Network-Based Precision Cancer Medicine Framework. Cancer Discov 2023; 13:386-409. [PMID: 36374194 PMCID: PMC9905319 DOI: 10.1158/2159-8290.cd-22-0342] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 08/22/2022] [Accepted: 11/10/2022] [Indexed: 11/16/2022]
Abstract
Prioritizing treatments for individual patients with cancer remains challenging, and performing coclinical studies using patient-derived models in real time is often unfeasible. To circumvent these challenges, we introduce OncoLoop, a precision medicine framework that predicts drug sensitivity in human tumors and their preexisting high-fidelity (cognate) model(s) by leveraging drug perturbation profiles. As a proof of concept, we applied OncoLoop to prostate cancer using genetically engineered mouse models (GEMM) that recapitulate a broad spectrum of disease states, including castration-resistant, metastatic, and neuroendocrine prostate cancer. Interrogation of human prostate cancer cohorts by Master Regulator (MR) conservation analysis revealed that most patients with advanced prostate cancer were represented by at least one cognate GEMM-derived tumor (GEMM-DT). Drugs predicted to invert MR activity in patients and their cognate GEMM-DTs were successfully validated in allograft, syngeneic, and patient-derived xenograft (PDX) models of tumors and metastasis. Furthermore, OncoLoop-predicted drugs enhanced the efficacy of clinically relevant drugs, namely, the PD-1 inhibitor nivolumab and the AR inhibitor enzalutamide. SIGNIFICANCE OncoLoop is a transcriptomic-based experimental and computational framework that can support rapid-turnaround coclinical studies to identify and validate drugs for individual patients, which can then be readily adapted to clinical practice. This framework should be applicable in many cancer contexts for which appropriate models and drug perturbation data are available. This article is highlighted in the In This Issue feature, p. 247.
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Affiliation(s)
- Alessandro Vasciaveo
- Department of Systems Biology, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, USA 10032
| | - Juan Martín Arriaga
- Department of Molecular Pharmacology and Therapeutics, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY USA 10032
| | - Francisca Nunes de Almeida
- Department of Molecular Pharmacology and Therapeutics, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY USA 10032
| | - Min Zou
- Department of Molecular Pharmacology and Therapeutics, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY USA 10032
| | - Eugene F. Douglass
- Department of Systems Biology, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, USA 10032
| | - Florencia Picech
- Department of Molecular Pharmacology and Therapeutics, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY USA 10032
| | - Maho Shibata
- Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, USA 10032
- Department of Genetics and Development, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY USA 10032
- Department of Urology, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY USA 10032
| | - Antonio Rodriguez-Calero
- Department for Biomedical Research, University of Bern, Bern, Switzerland 3008
- Institute of Pathology, University of Bern and Inselspital, Bern, Switzerland 3008
| | - Simone de Brot
- COMPATH, Institute of Animal Pathology, University of Bern, Switzerland 3012
| | - Antonina Mitrofanova
- Department of Systems Biology, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, USA 10032
| | - Chee Wai Chua
- Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, USA 10032
- Department of Genetics and Development, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY USA 10032
- Department of Urology, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY USA 10032
| | - Charles Karan
- Department of Systems Biology, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, USA 10032
- J.P. Sulzberger Columbia Genome Center, Columbia University Irving Medical Center, New York, NY USA 10032
| | - Ronald Realubit
- Department of Systems Biology, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, USA 10032
- J.P. Sulzberger Columbia Genome Center, Columbia University Irving Medical Center, New York, NY USA 10032
| | - Sergey Pampou
- Department of Systems Biology, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, USA 10032
- J.P. Sulzberger Columbia Genome Center, Columbia University Irving Medical Center, New York, NY USA 10032
| | - Jaime Y. Kim
- Department of Molecular Pharmacology and Therapeutics, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY USA 10032
| | - Stephanie N. Afari
- Department of Molecular Pharmacology and Therapeutics, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY USA 10032
| | - Timur Mukhammadov
- Department of Molecular Pharmacology and Therapeutics, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY USA 10032
| | - Luca Zanella
- Department of Systems Biology, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, USA 10032
| | - Eva Corey
- Department of Urology, University of Washington, Seattle, WA USA 98195
| | - Mariano J. Alvarez
- Department of Systems Biology, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, USA 10032
- DarwinHealth Inc, New York, NY
| | - Mark A. Rubin
- Department for Biomedical Research, University of Bern, Bern, Switzerland 3008
- Bern Center for Precision Medicine (BCPM) Bern, Switzerland 3008
| | - Michael M. Shen
- Department of Systems Biology, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, USA 10032
- Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, USA 10032
- Department of Genetics and Development, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY USA 10032
- Department of Urology, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY USA 10032
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, USA 10032
| | - Andrea Califano
- Department of Systems Biology, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, USA 10032
- Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, USA 10032
- J.P. Sulzberger Columbia Genome Center, Columbia University Irving Medical Center, New York, NY USA 10032
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, USA 10032
- Department of Biochemistry & Molecular Biophysics, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, USA 10032
- Department of Biomedical Informatics, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, USA 10032
| | - Cory Abate-Shen
- Department of Systems Biology, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, USA 10032
- Department of Molecular Pharmacology and Therapeutics, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY USA 10032
- Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, USA 10032
- Department of Urology, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY USA 10032
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, USA 10032
- Department of Pathology and Cell Biology, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY USA 10032
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36
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Xu H, Zhang J, Zheng X, Tan P, Xiong X, Yi X, Yang Y, Wang Y, Liao D, Li H, Wei Q, Ai J, Yang L. SR9009 inhibits lethal prostate cancer subtype 1 by regulating the LXRα/FOXM1 pathway independently of REV-ERBs. Cell Death Dis 2022; 13:949. [PMID: 36357378 PMCID: PMC9649669 DOI: 10.1038/s41419-022-05392-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2022] [Revised: 10/27/2022] [Accepted: 10/31/2022] [Indexed: 11/11/2022]
Abstract
Perturbations of the circadian clock are linked to multiple diseases, including cancers. Pharmacological activation of REV-ERB nuclear receptors, the core components of the circadian clock, has antitumor effects on various malignancies, while the impact of SR9009 on prostate cancer (PCa) remains unknown. Here, we found that SR9009 was specifically lethal to PCa cell lines but had no cytotoxic effect on prostate cells. SR9009 significantly inhibited colony formation, the cell cycle, and cell migration and promoted apoptosis in PCa cells. SR9009 treatment markedly inhibited prostate cancer subtype 1 (PCS1), the most lethal and aggressive PCa subtype, through FOXM1 pathway blockade, while it had no impacts on PCS2 and PCS3. Seven representative genes, including FOXM1, CENPA, CENPF, CDK1, CCNB1, CCNB2, and BIRC5, were identified as the shared genes involved in the FOXM1 pathway and PCS1. All of these genes were upregulated in PCa tissues, associated with worse clinicopathological outcomes and downregulated after SR9009 treatment. Nevertheless, knockdown or knockout of REV-ERB could not rescue the anticancer effect of SR9009 in PCa. Further analysis confirmed that it was LXRα rather than REV-ERBs which has been activated by SR9009. The expression levels of these seven genes were changed correspondingly after LXRα knockdown and SR9009 treatment. An in vivo study validated that SR9009 restrained tumor growth in 22RV1 xenograft models and inhibited FOXM1 and its targeted gene expression. In summary, SR9009 can serve as an effective treatment option for highly aggressive and lethal PCS1 tumors through mediating the LXRα/FOXM1 pathway independently of REV-ERBs.
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Affiliation(s)
- Hang Xu
- grid.13291.380000 0001 0807 1581Department of Urology, West China Hospital, Sichuan University, 610041 Chengdu, China ,grid.13291.380000 0001 0807 1581Institute of Urology, West China Hospital, Sichuan University, 610041 Chengdu, China
| | - Jiapeng Zhang
- grid.13291.380000 0001 0807 1581Department of Urology, West China Hospital, Sichuan University, 610041 Chengdu, China ,grid.13291.380000 0001 0807 1581Institute of Urology, West China Hospital, Sichuan University, 610041 Chengdu, China
| | - Xiaonan Zheng
- grid.13291.380000 0001 0807 1581Department of Urology, West China Hospital, Sichuan University, 610041 Chengdu, China ,grid.13291.380000 0001 0807 1581Institute of Urology, West China Hospital, Sichuan University, 610041 Chengdu, China
| | - Ping Tan
- grid.13291.380000 0001 0807 1581Department of Urology, West China Hospital, Sichuan University, 610041 Chengdu, China ,grid.13291.380000 0001 0807 1581Institute of Urology, West China Hospital, Sichuan University, 610041 Chengdu, China
| | - Xingyu Xiong
- grid.13291.380000 0001 0807 1581Department of Urology, West China Hospital, Sichuan University, 610041 Chengdu, China ,grid.13291.380000 0001 0807 1581Institute of Urology, West China Hospital, Sichuan University, 610041 Chengdu, China
| | - Xianyanling Yi
- grid.13291.380000 0001 0807 1581Department of Urology, West China Hospital, Sichuan University, 610041 Chengdu, China ,grid.13291.380000 0001 0807 1581Institute of Urology, West China Hospital, Sichuan University, 610041 Chengdu, China
| | - Yang Yang
- grid.13291.380000 0001 0807 1581Animal Experimental Center, West China Hospital, Sichuan University, 610041 Chengdu, China
| | - Yan Wang
- grid.13291.380000 0001 0807 1581Research Core Facility, West China Hospital, Sichuan University, 610041 Chengdu, China
| | - Dazhou Liao
- grid.13291.380000 0001 0807 1581Research Core Facility, West China Hospital, Sichuan University, 610041 Chengdu, China
| | - Hong Li
- grid.13291.380000 0001 0807 1581Department of Urology, West China Hospital, Sichuan University, 610041 Chengdu, China ,grid.13291.380000 0001 0807 1581Institute of Urology, West China Hospital, Sichuan University, 610041 Chengdu, China
| | - Qiang Wei
- grid.13291.380000 0001 0807 1581Department of Urology, West China Hospital, Sichuan University, 610041 Chengdu, China ,grid.13291.380000 0001 0807 1581Institute of Urology, West China Hospital, Sichuan University, 610041 Chengdu, China
| | - Jianzhong Ai
- grid.13291.380000 0001 0807 1581Department of Urology, West China Hospital, Sichuan University, 610041 Chengdu, China ,grid.13291.380000 0001 0807 1581Institute of Urology, West China Hospital, Sichuan University, 610041 Chengdu, China
| | - Lu Yang
- grid.13291.380000 0001 0807 1581Department of Urology, West China Hospital, Sichuan University, 610041 Chengdu, China ,grid.13291.380000 0001 0807 1581Institute of Urology, West China Hospital, Sichuan University, 610041 Chengdu, China
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An Integrative Multi-Omics Analysis Based on Nomogram for Predicting Prostate Cancer Bone Metastasis Incidence. Genet Res (Camb) 2022; 2022:8213723. [PMID: 36245556 PMCID: PMC9537037 DOI: 10.1155/2022/8213723] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2022] [Accepted: 07/09/2022] [Indexed: 12/24/2022] Open
Abstract
Background The most common site of prostate cancer metastasis is bone tissue with many recent studies having conducted genomic and clinical research regarding bone metastatic prostate cancer. However, further work is needed to better define those patients that are at an elevated risk of such metastasis. Methods SEER and TCGA databases were searched to develop a nomogram for predicting prostate cancer bone metastasis. Results Herein, we leveraged the Surveillance, Epidemiology, and End Results (SEER) database to construct a predictive nomogram capable of readily and accurately predicted the odds of bone metastasis in prostate cancer patients. This nomogram was utilized to assign patients with prostate cancer included in The Cancer Genome Atlas (TCGA) to cohorts at a high or low risk of bone metastasis (HRBM and LRBM, respectively). Comparisons of these LRBM and HRBM cohorts revealed marked differences in mutational landscapes between these patient cohorts, with increased frequencies of gene fusions, somatic copy number variations (CNVs), and single nucleotide variations (SNVs), particularly in the P53 gene, being evident in the HRBM cohort. We additionally identified lncRNAs, miRNAs, and mRNAs that were differentially expressed between these two patient cohorts and used them to construct a competing endogenous RNA (ceRNA) network. Moreover, three weighted gene co-expression network analysis (WGCNA) modules were constructed from the results of these analyses, with KIF14, MYH7, and COL10A1 being identified as hub genes within these modules. We further found immune response activity levels in the HRBM cohort to be elevated relative to that in the LRBM cohort, with single sample gene enrichment analysis (ssGSEA) scores for the immune checkpoint signature being increased in HRBM patient samples relative to those from LRBM patients. Conclusion We successfully developed a nomogram capable of readily detecting patients with prostate cancer at an elevated risk of bone metastasis.
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Zhang Y, Xu L, Li X, Chen Z, Chen J, Zhang T, Gu X, Yang J. Deciphering the dynamic niches and regeneration-associated transcriptional program of motoneurons following peripheral nerve injury. iScience 2022; 25:104917. [PMID: 36051182 PMCID: PMC9424597 DOI: 10.1016/j.isci.2022.104917] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Revised: 07/10/2022] [Accepted: 08/08/2022] [Indexed: 11/25/2022] Open
Abstract
Robust axon regeneration of motoneurons (MNs) occurs in rodent models upon peripheral nerve injury (PNI). However, genome-wide dynamic molecules and permissive microenvironment following insult in MNs remain largely unknown. Here, we firstly tackled by high-coverage and massive sequencing of laser-dissected individual ChAT+ cells to uncover molecules and pro-regenerative programs of MNs from injury to the regenerating phase after PNI. "Injured" populations at 1d∼7d were well distinguished and three response phases were well defined by elucidating with several clues (Gap43, etc). We found remarkable changes of genes expressed by injured motoneurons to activate and enhance intrinsic axon regrowth or crosstalk with other cellular or non-cellular counterpart in the activated regenerative microenvironment, specifically microglia/macrophage. We also identified an injury and regeneration-associated module and critical regulators including core transcription factors (Atf3, Arid5a, Klf6, Klf7, Jun, Stat3, and Myc). This study provides a vital resource and critical molecules for studying neural repair of axotomized motoneurons.
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Affiliation(s)
- Yu Zhang
- School of Medicine and Holistic Integrative Medicine, Nanjing University of Chinese Medicine, Nanjing 210000, China
| | - Lian Xu
- Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, Co-innovation Center of Neuroregeneration, NMPA Key Laboratory for Research and Evaluation of Tissue Engineering Technology Products, Nantong University, Nantong 226001, China
| | - Xiaodi Li
- School of Medicine and Holistic Integrative Medicine, Nanjing University of Chinese Medicine, Nanjing 210000, China
| | - Zhifeng Chen
- Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, Co-innovation Center of Neuroregeneration, NMPA Key Laboratory for Research and Evaluation of Tissue Engineering Technology Products, Nantong University, Nantong 226001, China
| | - Jing Chen
- Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, Co-innovation Center of Neuroregeneration, NMPA Key Laboratory for Research and Evaluation of Tissue Engineering Technology Products, Nantong University, Nantong 226001, China
| | - Tao Zhang
- School of Medicine and Holistic Integrative Medicine, Nanjing University of Chinese Medicine, Nanjing 210000, China
| | - Xiaosong Gu
- School of Medicine and Holistic Integrative Medicine, Nanjing University of Chinese Medicine, Nanjing 210000, China.,Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, Co-innovation Center of Neuroregeneration, NMPA Key Laboratory for Research and Evaluation of Tissue Engineering Technology Products, Nantong University, Nantong 226001, China
| | - Jian Yang
- Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, Co-innovation Center of Neuroregeneration, NMPA Key Laboratory for Research and Evaluation of Tissue Engineering Technology Products, Nantong University, Nantong 226001, China
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Laise P, Bosker G, Califano A, Alvarez MJ. A Patient-to-Model-to-Patient (PMP) Cancer Drug Discovery Protocol for Identifying and Validating Therapeutic Agents Targeting Tumor Regulatory Architecture. Curr Protoc 2022; 2:e544. [PMID: 36083100 DOI: 10.1002/cpz1.544] [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] [Indexed: 06/15/2023]
Abstract
The current Achilles heel of cancer drug discovery is the inability to forge precise and predictive connections among mechanistic drivers of the cancer cell state, therapeutically significant molecular targets, effective drugs, and responsive patient subgroups. Although advances in molecular biology have helped identify molecular markers and stratify patients into molecular subtypes, these associational strategies typically fail to provide a mechanistic rationale to identify cancer vulnerabilities. Recently, integrative systems biology methodologies have been used to reverse engineer cellular networks and identify master regulators (MRs), proteins whose activity is both necessary and sufficient to implement phenotypic states under physiological and pathological conditions, which are organized into highly interconnected regulatory modules called tumor checkpoints. Because of their functional relevance, MRs represent ideal pharmacological targets and biomarkers. Here, we present a six-step patient-to-model-to-patient protocol that employs computational and experimental methodologies to reconstruct and interrogate the regulatory logic of human cancer cells for identifying and therapeutically targeting the tumor checkpoint with novel as well as existing pharmacological agents. This protocol systematically identifies, from specific patient tumor samples, the MRs that comprise the tumor checkpoint. Then, it identifies in vitro and in vivo models that, by recapitulating the patient's tumor checkpoint, constitute the appropriate cell lines and xenografts to further elucidate the tissue context-specific drug mechanism of action (MOA) and permit precise, biomarker-based preclinical validations of drug efficacy. The combination of determination of a drug's context-specific MOA and precise identification of patients' tumor checkpoints provides a personalized, mechanism-based biomarker to enrich prospective clinical trials with patients likely to respond. © 2022 The Authors. Current Protocols published by Wiley Periodicals LLC.
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Affiliation(s)
- Pasquale Laise
- DarwinHealth, New York, New York
- Department of Systems Biology, Columbia University Irving Medical Center, New York, New York
| | | | - Andrea Califano
- Department of Systems Biology, Columbia University Irving Medical Center, New York, New York
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, New York
- Department of Medicine, Columbia University Irving Medical Center, New York, New York
- Department of Biochemistry & Molecular Biophysics, Columbia University Irving Medical Center, New York, New York
- Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, New York
| | - Mariano J Alvarez
- DarwinHealth, New York, New York
- Department of Systems Biology, Columbia University Irving Medical Center, New York, New York
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40
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Identification of crucial hub genes and potential molecular mechanisms in breast cancer by integrated bioinformatics analysis and experimental validation. Comput Biol Med 2022; 149:106036. [DOI: 10.1016/j.compbiomed.2022.106036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Revised: 08/14/2022] [Accepted: 08/20/2022] [Indexed: 11/24/2022]
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A model for network-based identification and pharmacological targeting of aberrant, replication-permissive transcriptional programs induced by viral infection. Commun Biol 2022; 5:714. [PMID: 35854100 PMCID: PMC9296638 DOI: 10.1038/s42003-022-03663-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2022] [Accepted: 06/29/2022] [Indexed: 11/08/2022] Open
Abstract
SARS-CoV-2 hijacks the host cell transcriptional machinery to induce a phenotypic state amenable to its replication. Here we show that analysis of Master Regulator proteins representing mechanistic determinants of the gene expression signature induced by SARS-CoV-2 in infected cells revealed coordinated inactivation of Master Regulators enriched in physical interactions with SARS-CoV-2 proteins, suggesting their mechanistic role in maintaining a host cell state refractory to virus replication. To test their functional relevance, we measured SARS-CoV-2 replication in epithelial cells treated with drugs predicted to activate the entire repertoire of repressed Master Regulators, based on their experimentally elucidated, context-specific mechanism of action. Overall, 15 of the 18 drugs predicted to be effective by this methodology induced significant reduction of SARS-CoV-2 replication, without affecting cell viability. This model for host-directed pharmacological therapy is fully generalizable and can be deployed to identify drugs targeting host cell-based Master Regulator signatures induced by virtually any pathogen.
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Ho DWH, Lam WLM, Chan LK, Ng IOL. Investigation of Functional Synergism of CENPF and FOXM1 Identifies POLD1 as Downstream Target in Hepatocellular Carcinoma. Front Med (Lausanne) 2022; 9:860395. [PMID: 35865168 PMCID: PMC9295863 DOI: 10.3389/fmed.2022.860395] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2022] [Accepted: 06/17/2022] [Indexed: 11/26/2022] Open
Abstract
Background Lines of evidence implicate CENPF and FOXM1 may have novel co-operative roles in driving hepatocellular carcinoma (HCC). Objective We investigated the clinicopathological correlation, functional characterization, molecular mechanism and translational significance of CENPF and FOXM1. Methods We carried out integrative studies investigating functional synergism of CENPF and FOXM1 in HCC and its metastasis. Human HCC samples, HCC cell lines and mouse model were used in the studies. Stable knockdown, q-PCR, Western blotting, whole-transcriptomic sequencing (RNA-seq), as well as cell and mouse assays were performed. Results Upon clinicopathological correlation, we found that co-overexpression of CENPF and FOXM1 in human HCCs was associated with more aggressive tumor behavior including presence of venous invasion, tumor microsatellite formation, and absence of tumor encapsulation. Moreover, co-silencing FOXM1 and CENPF using shRNA approach in HCC cell lines resulted in significantly reduced cell proliferation. Furthermore, our RNA-seq and differential gene expression analysis delineated that CENPF and FOXM1 co-regulated a specific set of target genes in various metabolic processes and oncogenic signaling pathways. Among them, POLD1, which encodes the catalytic subunit of DNA polymerase δ, was ranked as the top downstream target co-regulated by CENPF and FOXM1. POLD1 expression was positively correlated with that of FOXM1 and CENPF in HCCs. In addition, POLD1 expression was significantly upregulated in HCC tumors. Functionally, in vivo orthotopic injection model showed that stable knockdown of POLD1 in HCC cells suppressed tumor incidence and tumorigenicity and had a trend of diminished lung metastasis. Conclusion Taken together, our data suggest that CENPF and FOXM1 could synergistically support hepatocarcinogenesis via the regulation of POLD1. CENPF and FOXM1 may represent new vulnerabilities to novel drug-based therapy in HCC.
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Rye MB, Krossa S, Hall M, van Mourik C, Bathen TF, Drabløs F, Tessem MB, Bertilsson H. The genes controlling normal function of citrate and spermine secretion are lost in aggressive prostate cancer and prostate model systems. iScience 2022; 25:104451. [PMID: 35707723 PMCID: PMC9189124 DOI: 10.1016/j.isci.2022.104451] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Revised: 04/12/2022] [Accepted: 05/17/2022] [Indexed: 11/22/2022] Open
Abstract
High secretion of the metabolites citrate and spermine is a unique hallmark for normal prostate epithelial cells, and is reduced in aggressive prostate cancer. However, the identity of the genes controlling this biological process is mostly unknown. In this study, we have created a gene signature of 150 genes connected to citrate and spermine secretion in the prostate. We have computationally integrated metabolic measurements with multiple transcriptomics datasets from the public domain, including 3826 tissue samples from prostate and prostate cancer. The accuracy of the signature is validated by its unique enrichment in prostate samples and prostate epithelial tissue compartments. The signature highlights genes AZGP1, ANPEP and metallothioneins with zinc-binding properties not previously studied in the prostate, and the expression of these genes are reduced in more aggressive cancer lesions. However, the absence of signature enrichment in common prostate model systems can make it challenging to study these genes mechanistically. Novel 150 gene signature reflecting prostatic citrate and spermine secretion Identified several zinc-binding proteins not previously investigated in the prostate The signature is absent in prostate model systems
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Affiliation(s)
- Morten Beck Rye
- Department of Clinical and Molecular Medicine, NTNU - Norwegian University of Science and Technology, P.O. Box 8905, 7491 Trondheim, Norway.,Clinic of Surgery, St.Olavs Hospital, Trondheim University Hospital, 7030 Trondheim, Norway.,Clinic of Laboratory Medicine, St.Olavs Hospital, Trondheim University Hospital, 7030 Trondheim, Norway.,BioCore - Bioinformatics Core Facility, NTNU - Norwegian University of Science and Technology, P.O. Box 8905, 7491 Trondheim, Norway
| | - Sebastian Krossa
- Department of Circulation and Medical Imaging, NTNU - Norwegian University of Science and Technology, Trondheim, Norway
| | - Martina Hall
- Department of Biotechnology and Food Science, NTNU - Norwegian University of Science and Technology, Trondheim, Norway.,K. G. Jebsen Center for Genetic Epidemiology, NTNU - Norwegian University of Science and Technology, Trondheim, Norway
| | - Casper van Mourik
- Department of Clinical and Molecular Medicine, NTNU - Norwegian University of Science and Technology, P.O. Box 8905, 7491 Trondheim, Norway.,Institute for Life Science & Technology, Hanze University of Applied Sciences, 9747 AS Groningen, the Netherlands
| | - Tone F Bathen
- Department of Circulation and Medical Imaging, NTNU - Norwegian University of Science and Technology, Trondheim, Norway
| | - Finn Drabløs
- Department of Clinical and Molecular Medicine, NTNU - Norwegian University of Science and Technology, P.O. Box 8905, 7491 Trondheim, Norway
| | - May-Britt Tessem
- Clinic of Surgery, St.Olavs Hospital, Trondheim University Hospital, 7030 Trondheim, Norway.,Department of Circulation and Medical Imaging, NTNU - Norwegian University of Science and Technology, Trondheim, Norway
| | - Helena Bertilsson
- Department of Clinical and Molecular Medicine, NTNU - Norwegian University of Science and Technology, P.O. Box 8905, 7491 Trondheim, Norway.,Clinic of Surgery, St.Olavs Hospital, Trondheim University Hospital, 7030 Trondheim, Norway
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Werner RL, Nekritz EA, Yan KK, Ju B, Shaner B, Easton J, Yu PJ, Silva J. Single-cell analysis reveals Comma-1D as a unique cell model for mammary gland development and breast cancer. J Cell Sci 2022; 135:275228. [PMID: 35502723 DOI: 10.1242/jcs.259329] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Accepted: 04/11/2022] [Indexed: 11/20/2022] Open
Abstract
The mammary epithelial tree contains two distinct populations, luminal and basal. The investigation of how this heterogeneity is developed and how it influences tumorigenesis has been hampered by the need to perform these studies using animal models. Comma-1D is an immortalized mouse mammary epithelial cell line that has unique morphogenetic properties. By performing single-cell RNA-seq studies we found that Comma-1D cultures consist of two main populations with luminal and basal features and a smaller population with mixed lineage and bipotent characteristics. We demonstrated that multiple transcription factors associated with the differentiation of the mammary epithelium in vivo also modulate this process in Comma-1D cultures. Additionally, we found that only cells with luminal features were able to acquire transformed characteristics after an oncogenic HER2 mutant was introduced in their genomes. Overall, our studies characterize at a single-cell level the heterogeneity of the Comma-1D cell line and illustrate how Comma-1D cells can be used as an experimental model to study both the differentiation and the transformation processes in vitro.
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Affiliation(s)
- Rachel L Werner
- Graduate School, Department of Pathology, Icahn School of Medicine at Mount Sinai Hospital, New York, NY, USA
| | - Erin A Nekritz
- Graduate School, Department of Pathology, Icahn School of Medicine at Mount Sinai Hospital, New York, NY, USA
| | - Koon-Kiu Yan
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Bensheng Ju
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Bridget Shaner
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - John Easton
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Partha Jiyang Yu
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Jose Silva
- Graduate School, Department of Pathology, Icahn School of Medicine at Mount Sinai Hospital, New York, NY, USA
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Gómez-Romero L, Alvarez-Suarez DE, Hernández-Lemus E, Ponce-Castañeda MV, Tovar H. The regulatory landscape of retinoblastoma: a pathway analysis perspective. ROYAL SOCIETY OPEN SCIENCE 2022; 9:220031. [PMID: 35620002 PMCID: PMC9114937 DOI: 10.1098/rsos.220031] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Accepted: 04/13/2022] [Indexed: 05/03/2023]
Abstract
Retinoblastoma (Rb) is a rare intraocular tumour in early childhood, with an approximate incidence of 1 in 18 000 live births. Experimental studies for Rb are complex due to the challenges associated with obtaining a normal retina to contrast with diseased tissue. In this work, we reanalyse a dataset that contains normal retina samples. We identified the individual genes whose expression is different in Rb in contrast with normal tissue, determined the pathways whose global expression pattern is more distant from the global expression observed in normal tissue, and finally, we identified which transcription factors regulate the highest number of differentially expressed genes (DEGs) and proposed as transcriptional master regulators (TMRs). The enrichment of DEGs in the phototransduction and retrograde endocannabinoid signalling pathways could be associated with abnormal behaviour of the processes leading to cellular differentiation and cellular proliferation. On the other hand, the TMRs nuclear receptor subfamily 5 group A member 2 and hepatocyte nuclear factor 4 gamma are involved in hepatocyte differentiation. Therefore, the enrichment of aberrant expression in these transcription factors could suggest an abnormal retina development that could be involved in Rb origin and progression.
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Affiliation(s)
- Laura Gómez-Romero
- Computational Genomics Division, National Institute of Genomic Medicine (INMEGEN), Mexico City, Mexico
| | - Diana E. Alvarez-Suarez
- Medical Research Unit in Infectious Diseases, Hospital de Pediatría, CMN SXXI, Instituto Mexicano del Seguro Social, Mexico City, Mexico
- Pharmacology Department, CINVESTAV, Mexico City, Mexico
| | - Enrique Hernández-Lemus
- Computational Genomics Division, National Institute of Genomic Medicine (INMEGEN), Mexico City, Mexico
- Center for Complexity Sciences, National Autonomous University of Mexico (UNAM), Mexico City, Mexico
| | - M. Verónica Ponce-Castañeda
- Medical Research Unit in Infectious Diseases, Hospital de Pediatría, CMN SXXI, Instituto Mexicano del Seguro Social, Mexico City, Mexico
| | - Hugo Tovar
- Computational Genomics Division, National Institute of Genomic Medicine (INMEGEN), Mexico City, Mexico
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Zhou Y, Yong H, Cui W, Chu S, Li M, Li Z, Bai J, Zhang H. Long noncoding RNA SH3PXD2A-AS1 promotes NSCLC proliferation and accelerates cell cycle progression by interacting with DHX9. Cell Death Discov 2022; 8:192. [PMID: 35410446 PMCID: PMC9001675 DOI: 10.1038/s41420-022-01004-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Revised: 01/12/2022] [Accepted: 02/17/2022] [Indexed: 12/13/2022] Open
Abstract
As the most commonly diagnosed lung cancer, non-small cell lung carcinoma (NSCLC) is regulated by many long noncoding RNAs (lncRNAs). In the present study, we found that SH3PXD2A-AS1 expression in NSCLC tissues was upregulated compared with that in normal lung tissues in The Cancer Genome Atlas (TCGA) database by using the GEPIA website. K-M analysis was performed to explore the effects of this molecule on the survival rate in NSCLC. The results demonstrated that SH3PXD2A-AS1 expression was increased in human NSCLC, and high SH3PXD2A-AS1 expression was correlated with poor overall survival. SH3PXD2A-AS1 promotes lung cancer cell proliferation and accelerates cell cycle progression in vitro. Animal studies validated that knockdown of SH3PXD2A-AS1 inhibits NSCLC cell proliferation in vivo. Mechanically, SH3PXD2A-AS1 interacted with DHX9 to enhance FOXM1 expression, promote tumour cell proliferation and accelerate cell cycle progression. Altogether, SH3PXD2A-AS1 promoted NSCLC growth by interacting with DHX9 to enhance FOXM1 expression. SH3PXD2A-AS1 may serve as a promising predictive biomarker for the diagnosis and prognosis of patients with NSCLC.
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Affiliation(s)
- Yeqing Zhou
- Thoracic Surgery Laboratory, The First College of Clinical Medicine, Xuzhou Medical University, Xuzhou, 221006, Jiangsu Province, China
- Department of Thoracic Surgery, Affiliated Hospital of Xuzhou Medical University, 99 West Huaihai Road, Xuzhou, 221006, Jiangsu, China
- Department of Thoracic Surgery, Shengze Hospital in Jiangsu, Suzhou, 215228, Jiangsu, China
| | - Hongmei Yong
- Department of Oncology, the Affiliated Huai'an Hospital of Xuzhou Medical University and The Second People's Hospital of Huai'an, Huai'an, Jiangsu, China
| | - WenJie Cui
- Department of Respiratory and Critical Care Medicine, The Municipal Hospital Affiliated to Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Sufang Chu
- Cancer Institute, Xuzhou Medical University, Xuzhou, 221006, Jiangsu, China
- Center of Clinical Oncology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221006, Jiangsu, China
| | - Minle Li
- Cancer Institute, Xuzhou Medical University, Xuzhou, 221006, Jiangsu, China
- Center of Clinical Oncology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221006, Jiangsu, China
| | - Zhongwei Li
- Cancer Institute, Xuzhou Medical University, Xuzhou, 221006, Jiangsu, China
- Center of Clinical Oncology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221006, Jiangsu, China
| | - Jin Bai
- Cancer Institute, Xuzhou Medical University, Xuzhou, 221006, Jiangsu, China.
- Center of Clinical Oncology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221006, Jiangsu, China.
| | - Hao Zhang
- Thoracic Surgery Laboratory, The First College of Clinical Medicine, Xuzhou Medical University, Xuzhou, 221006, Jiangsu Province, China.
- Department of Thoracic Surgery, Affiliated Hospital of Xuzhou Medical University, 99 West Huaihai Road, Xuzhou, 221006, Jiangsu, China.
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Bonomo M, Giancarlo R, Greco D, Rombo SE. Topological ranks reveal functional knowledge encoded in biological networks: a comparative analysis. Brief Bioinform 2022; 23:6563936. [PMID: 35381599 DOI: 10.1093/bib/bbac101] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Revised: 01/31/2022] [Accepted: 02/28/2022] [Indexed: 12/21/2022] Open
Abstract
MOTIVATION Biological networks topology yields important insights into biological function, occurrence of diseases and drug design. In the last few years, different types of topological measures have been introduced and applied to infer the biological relevance of network components/interactions, according to their position within the network structure. Although comparisons of such measures have been previously proposed, to what extent the topology per se may lead to the extraction of novel biological knowledge has never been critically examined nor formalized in the literature. RESULTS We present a comparative analysis of nine outstanding topological measures, based on compact views obtained from the rank they induce on a given input biological network. The goal is to understand their ability in correctly positioning nodes/edges in the rank, according to the functional knowledge implicitly encoded in biological networks. To this aim, both internal and external (gold standard) validation criteria are taken into account, and six networks involving three different organisms (yeast, worm and human) are included in the comparison. The results show that a distinct handful of best-performing measures can be identified for each of the considered organisms, independently from the reference gold standard. AVAILABILITY Input files and code for the computation of the considered topological measures and K-haus distance are available at https://gitlab.com/MaryBonomo/ranking. CONTACT simona.rombo@unipa.it. SUPPLEMENTARY INFORMATION Supplementary data are available at Briefings in Bioinformatics online.
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Affiliation(s)
- Mariella Bonomo
- Department of Engineering, University of Palermo, Palermo, 90121, Italy, Palermo
| | - Raffaele Giancarlo
- Department of Mathematics and Computer Science, University of Palermo, Palermo, 90121, Italy, Palermo
| | - Daniele Greco
- Department of Mathematics and Computer Science, University of Palermo, Palermo, 90121, Italy, Palermo
| | - Simona E Rombo
- Department of Mathematics and Computer Science, University of Palermo, Palermo, 90121, Italy, Palermo
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Construction of Bone Metastasis-Specific Regulation Network Based on Prognostic Stemness-Related Signatures in Prostate Cancer. DISEASE MARKERS 2022; 2022:8495923. [PMID: 35392496 PMCID: PMC8983176 DOI: 10.1155/2022/8495923] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/22/2021] [Accepted: 02/10/2022] [Indexed: 12/24/2022]
Abstract
Background We planned to uncover the cancer stemness-related genes (SRGs) in prostate cancer (PCa) and its underlying mechanism in PCa metastasis. Methods We acquired the RNA-seq data of 406 patients with PCa from the TCGA database. Based on the mRNA stemness index (mRNAsi) calculated by one-class logistic regression (OCLR) algorithm, SRGs in PCa were extracted by WGCNA. Univariate and multivariate regression analyses were applied to uncover OS-associated SRGs. Gene Set Variation Analysis (GSVA), Gene Set Enrichment Analysis (GSEA), and Pearson's correlation analysis were performed to discover the possible mechanism of PCa metastasis. The significantly correlated transcription factors of OS-associated SRGs were also identified by Pearson's correlation analysis. ChIP-seq was applied to validate the binding relationship of TFs and OS-associated SRGs and spatial transcriptome and single-cell sequencing were performed to uncover the location of key biomarkers expression. Lastly, we explored the specific inhibitors for SRGs using CMap algorithm. Results We identified 538 differentially expressed genes (DEGs) between non-metastatic and metastatic PCa. Furthermore, OS-associated SRGs were identified. The Pearson correlation analysis revealed that FOXM1 was significantly correlated with NEIL3 (correlation efficient =0.89, p < 0.001) and identified hallmark_E2F_targets as the potential pathway mechanism of NEIL3 promoting PCa metastasis (correlation efficient =0.58, p < 0.001). Single-cell sequencing results indicated that FOXM1 regulating NEIL3 may get involved in the antiandrogen resistance of PCa. Rottlerin was discovered to be a potential target drug for PCa. Conclusion We constructed a regulatory network based on SRGs associated with PCa metastasis and explored possible mechanism.
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Wang X, Jiang Q, Song Y, He Z, Zhang H, Song M, Zhang X, Dai Y, Karalay O, Dieterich C, Antebi A, Wu L, Han JJ, Shen Y. Ageing induces tissue‐specific transcriptomic changes in
Caenorhabditis elegans. EMBO J 2022; 41:e109633. [PMID: 35253240 PMCID: PMC9016346 DOI: 10.15252/embj.2021109633] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Revised: 02/11/2022] [Accepted: 02/15/2022] [Indexed: 11/09/2022] Open
Abstract
Ageing is a complex process with common and distinct features across tissues. Unveiling the underlying processes driving ageing in individual tissues is indispensable to decipher the mechanisms of organismal longevity. Caenorhabditis elegans is a well‐established model organism that has spearheaded ageing research with the discovery of numerous genetic pathways controlling its lifespan. However, it remains challenging to dissect the ageing of worm tissues due to the limited description of tissue pathology and access to tissue‐specific molecular changes during ageing. In this study, we isolated cells from five major tissues in young and old worms and profiled the age‐induced transcriptomic changes within these tissues. We observed a striking diversity of ageing across tissues and identified different sets of longevity regulators therein. In addition, we found novel tissue‐specific factors, including irx‐1 and myrf‐2, which control the integrity of the intestinal barrier and sarcomere structure during ageing respectively. This study demonstrates the complexity of ageing across worm tissues and highlights the power of tissue‐specific transcriptomic profiling during ageing, which can serve as a resource to the field.
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Affiliation(s)
- Xueqing Wang
- State Key Laboratory of Cell Biology Shanghai Institute of Biochemistry and Cell Biology Center for Excellence in Molecular Cell Science Chinese Academy of Sciences Shanghai China
- University of Chinese Academy of Sciences Beijing China
| | - Quanlong Jiang
- CAS Key Laboratory of Computational Biology Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences Chinese Academy of Sciences Shanghai China
- Peking‐Tsinghua Center for Life Sciences Academy for Advanced Interdisciplinary Studies, Center for Quantitative Biology (CQB) Peking University Beijing China
| | - Yuanyuan Song
- State Key Laboratory of Cell Biology Shanghai Institute of Biochemistry and Cell Biology Center for Excellence in Molecular Cell Science Chinese Academy of Sciences Shanghai China
- University of Chinese Academy of Sciences Beijing China
| | - Zhidong He
- State Key Laboratory of Cell Biology Shanghai Institute of Biochemistry and Cell Biology Center for Excellence in Molecular Cell Science Chinese Academy of Sciences Shanghai China
- University of Chinese Academy of Sciences Beijing China
| | - Hongdao Zhang
- State Key Laboratory of Cell Biology Shanghai Institute of Biochemistry and Cell Biology Center for Excellence in Molecular Cell Science Chinese Academy of Sciences Shanghai China
- University of Chinese Academy of Sciences Beijing China
| | - Mengjiao Song
- State Key Laboratory of Cell Biology Shanghai Institute of Biochemistry and Cell Biology Center for Excellence in Molecular Cell Science Chinese Academy of Sciences Shanghai China
- University of Chinese Academy of Sciences Beijing China
| | - Xiaona Zhang
- State Key Laboratory of Cell Biology Shanghai Institute of Biochemistry and Cell Biology Center for Excellence in Molecular Cell Science Chinese Academy of Sciences Shanghai China
- University of Chinese Academy of Sciences Beijing China
| | - Yumin Dai
- State Key Laboratory of Cell Biology Shanghai Institute of Biochemistry and Cell Biology Center for Excellence in Molecular Cell Science Chinese Academy of Sciences Shanghai China
- University of Chinese Academy of Sciences Beijing China
| | - Oezlem Karalay
- Max Planck Institute for Biology of Ageing Cologne Germany
- Cologne Excellence Cluster on Cellular Stress Responses in Aging‐Associated Diseases (CECAD) University of Cologne Cologne Germany
| | - Christoph Dieterich
- Klaus Tschira Institute for Integrative Computational Cardiology and Department of Internal Medicine III University Hospital Heidelberg Heidelberg Germany
| | - Adam Antebi
- Max Planck Institute for Biology of Ageing Cologne Germany
- Cologne Excellence Cluster on Cellular Stress Responses in Aging‐Associated Diseases (CECAD) University of Cologne Cologne Germany
| | - Ligang Wu
- State Key Laboratory of Cell Biology Shanghai Institute of Biochemistry and Cell Biology Center for Excellence in Molecular Cell Science Chinese Academy of Sciences Shanghai China
- University of Chinese Academy of Sciences Beijing China
| | - Jing‐Dong J Han
- CAS Key Laboratory of Computational Biology Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences Chinese Academy of Sciences Shanghai China
- Peking‐Tsinghua Center for Life Sciences Academy for Advanced Interdisciplinary Studies, Center for Quantitative Biology (CQB) Peking University Beijing China
| | - Yidong Shen
- State Key Laboratory of Cell Biology Shanghai Institute of Biochemistry and Cell Biology Center for Excellence in Molecular Cell Science Chinese Academy of Sciences Shanghai China
- University of Chinese Academy of Sciences Beijing China
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Huang YG, Li D, Wang L, Su XM, Tang XB. CENPF/CDK1 signaling pathway enhances the progression of adrenocortical carcinoma by regulating the G2/M-phase cell cycle. J Transl Med 2022; 20:78. [PMID: 35123514 PMCID: PMC8818156 DOI: 10.1186/s12967-022-03277-y] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2021] [Accepted: 01/24/2022] [Indexed: 12/11/2022] Open
Abstract
Background Adrenocortical carcinoma (ACC) is an aggressive and rare malignant tumor and is prone to local invasion and metastasis. And, overexpressed Centromere Protein F (CENPF) is closely related to the oncogenesis of various neoplasms, including ACC. However, the prognosis and exact biological function of CENPF in ACC remains largely unclear. Methods In the present essay, the expression patterns and prognostic value of CENPF in ACC were investigated in clinical specimens and public cancer databases, including GEO and TCGA. The potential signaling mechanism of CENPF in ACC was studied based on gene-set enrichment analysis (GSEA). Furthermore, a small RNA interference experiment was conducted to probe the underlying biological function of CENPF in the human ACC cell line, SW13 cells. Lastly, two available therapeutic strategies, including immunotherapy and chemotherapy, have been further explored. Results The expression of CENPF in human ACC samples, GEO, and TCGA databases depicted that CENPF was overtly hyper-expressed in ACC patients and positively correlated with tumor stage. The aberrant expression of CENPF was significantly correlated with unfavorable overall survival (OS) in ACC patients. Then, the GSEA analysis declared that CENPF was mainly involved in the G2/M-phase mediated cell cycle and p53 signaling pathway. Further, the in vitro experiment demonstrated that the interaction between CENPF and CDK1 augmented the G2/M-phase transition of mitosis, cell proliferation and might induce p53 mediated anti-tumor effect in human ACC cell line, SW13 cells. Lastly, immune infiltration analysis highlighted that ACC patients with high CENPF expression harbored significantly different immune cell populations, and high TMB/MSI score. The gene-drug interaction network stated that CENPF inhibitors, such as Cisplatin, Sunitinib, and Etoposide, might serve as potential drugs for the therapy of ACC. Conclusion The result points out that CENPF is significantly overexpressed in ACC patients. The overexpressed CENPF predicts a poor prognosis of ACC and might augment the progress of ACC. Thus, CENPF and related genes might serve as a novel prognostic biomarker or latent therapeutic target for ACC patients. Supplementary Information The online version contains supplementary material available at 10.1186/s12967-022-03277-y.
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