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Hoellerbauer P, Kufeld M, Arora S, Mitchell K, Girard E, Herman J, Olson J, Paddison P. FBXO42 activity is required to prevent mitotic arrest, spindle assembly checkpoint activation and lethality in glioblastoma and other cancers. NAR Cancer 2024; 6:zcae021. [PMID: 38774470 PMCID: PMC11106029 DOI: 10.1093/narcan/zcae021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Revised: 04/23/2024] [Accepted: 05/15/2024] [Indexed: 05/24/2024] Open
Abstract
Glioblastoma (GBM) is the most common and aggressive brain tumor in adults. To identify genes differentially required for the viability of GBM stem-like cells (GSCs), we performed functional genomic lethality screens comparing GSCs and control human neural stem cells. Among top-scoring hits in a subset of GBM cells was the F-box-containing gene FBXO42, which was also predicted to be essential in ∼15% of cell lines derived from a broad range of cancers. Mechanistic studies revealed that, in sensitive cells, FBXO42 activity prevents chromosome alignment defects, mitotic cell cycle arrest and cell death. The cell cycle arrest, but not the cell death, triggered by FBXO42 inactivation could be suppressed by brief exposure to a chemical inhibitor of Mps1, a key spindle assembly checkpoint (SAC) kinase. FBXO42's cancer-essential function requires its F-box and Kelch domains, which are necessary for FBXO42's substrate recognition and targeting by SCF (SKP1-CUL1-F-box protein) ubiquitin ligase complex. However, none of FBXO42's previously proposed targets, including ING4, p53 and RBPJ, were responsible for the observed phenotypes. Instead, our results suggest that FBOX42 alters the activity of one or more proteins that perturb chromosome-microtubule dynamics in cancer cells, which in turn leads to induction of the SAC and cell death.
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Affiliation(s)
- Pia Hoellerbauer
- Human Biology Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109 USA
- Molecular and Cellular Biology Program, University of Washington, Seattle, WA, 98109 USA
| | - Megan Kufeld
- Human Biology Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109 USA
| | - Sonali Arora
- Human Biology Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109 USA
| | - Kelly Mitchell
- Human Biology Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109 USA
| | - Emily J Girard
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109 USA
- Ben Towne Center for Childhood Cancer Research, Seattle Children’s Research Institute, Seattle, WA, 98101 USA
| | - Jacob A Herman
- Human Biology Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109 USA
| | - James M Olson
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109 USA
- Ben Towne Center for Childhood Cancer Research, Seattle Children’s Research Institute, Seattle, WA, 98101 USA
| | - Patrick J Paddison
- Human Biology Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109 USA
- Molecular and Cellular Biology Program, University of Washington, Seattle, WA, 98109 USA
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2
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Worley J, Noh H, You D, Turunen MM, Ding H, Paull E, Griffin AT, Grunn A, Zhang M, Guillan K, Bush EC, Brosius SJ, Hibshoosh H, Mundi PS, Sims P, Dalerba P, Dela Cruz FS, Kung AL, Califano A. Identification and Pharmacological Targeting of Treatment-Resistant, Stem-like Breast Cancer Cells for Combination Therapy. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.11.08.562798. [PMID: 38798673 PMCID: PMC11118419 DOI: 10.1101/2023.11.08.562798] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
Tumors frequently harbor isogenic yet epigenetically distinct subpopulations of multi-potent cells with high tumor-initiating potential-often called Cancer Stem-Like Cells (CSLCs). These can display preferential resistance to standard-of-care chemotherapy. Single-cell analyses can help elucidate Master Regulator (MR) proteins responsible for governing the transcriptional state of these cells, thus revealing complementary dependencies that may be leveraged via combination therapy. Interrogation of single-cell RNA sequencing profiles from seven metastatic breast cancer patients, using perturbational profiles of clinically relevant drugs, identified drugs predicted to invert the activity of MR proteins governing the transcriptional state of chemoresistant CSLCs, which were then validated by CROP-seq assays. The top drug, the anthelmintic albendazole, depleted this subpopulation in vivo without noticeable cytotoxicity. Moreover, sequential cycles of albendazole and paclitaxel-a commonly used chemotherapeutic -displayed significant synergy in a patient-derived xenograft (PDX) from a TNBC patient, suggesting that network-based approaches can help develop mechanism-based combinatorial therapies targeting complementary subpopulations.
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Affiliation(s)
- Jeremy Worley
- 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
| | - Heeju Noh
- Department of Systems Biology, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, USA 10032
| | - Daoqi You
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Mikko M Turunen
- Department of Systems Biology, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, USA 10032
| | - Hongxu Ding
- Department of Systems Biology, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, USA 10032
- Department of Pharmacy Practice & Science, College of Pharmacy, University of Arizona, Tucson, Arizona, USA 85721
| | - Evan Paull
- Department of Systems Biology, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, USA 10032
| | - Aaron T Griffin
- Department of Systems Biology, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, USA 10032
| | - Adina Grunn
- Department of Systems Biology, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, USA 10032
| | - Mingxuan Zhang
- Department of Systems Biology, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, USA 10032
| | - Kristina Guillan
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Erin C Bush
- Department of Systems Biology, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, USA 10032
| | - Samantha J Brosius
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Hanina Hibshoosh
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, USA 10032
- Department of Pathology & Cell Biology, Columbia University Irving Medical Center, New York, USA 10032
| | - Prabhjot S Mundi
- Department of Systems Biology, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, USA 10032
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, USA 10032
| | - Peter Sims
- Department of Systems Biology, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, USA 10032
| | - Piero Dalerba
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, USA 10032
- Department of Pathology & Cell Biology, Columbia University Irving Medical Center, New York, USA 10032
- Columbia Stem Cell Initiative, 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
| | - Filemon S Dela Cruz
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Andrew L Kung
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Andrea Califano
- Department of Systems Biology, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, 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
- J.P. Sulzberger Columbia Genome Center, Columbia University Irving Medical Center, New York, NY USA 10032
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Yin G, Jia S, Zhang Y, Xian Y, Guo Y, Liu Q. YAP1-activated ZNF131 promotes hepatocellular carcinoma cell proliferation through transcriptional regulation of PAIP1. Arch Biochem Biophys 2024; 754:109921. [PMID: 38341068 DOI: 10.1016/j.abb.2024.109921] [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: 11/06/2023] [Revised: 01/28/2024] [Accepted: 01/30/2024] [Indexed: 02/12/2024]
Abstract
Zinc finger protein 131 (ZNF131), a member of BTB-ZF transcription factors, has been previously reported as an oncogene in several human cancers. However, the function and underlying mechanism of ZNF131 in hepatocellular carcinoma (HCC) are still unclear. In our study, the upregulated expression of ZNF131 mRNA was confirmed in HCC tissues by analyzing the TCGA and GEO datasets. The immunohistochemical staining data also revealed the overexpression of ZNF131 protein in HCC samples. High expression of ZNF131 predicted poor overall survival and disease-free survival in HCC patients. ZNF131 knockdown inhibited the proliferation and colony formation and led to G2/M phase arrest of HCC cells, while its overexpression promoted HCC cell proliferation, cell cycle progression and colony formation. Moreover, ZNF131 silencing repressed the growth of HCC cells in nude mice. Yes-associated protein 1 (YAP1) was recognized as an upstream regulator of ZNF131. Both YAP1 knockdown and inactivation reduced ZNF131 expression in HCC cells, and YAP1 overexpression enhanced ZNF131 level. Interestingly, we found that poly(A) binding protein interacting protein 1 (PAIP1) was a novel target of ZNF131. ZNF131 silencing downregulated while ZNF131 overexpression upregulated PAIP1 expression in HCC cells. The luciferase reporter assay demonstrated that ZNF131 regulated PAIP1 expression at the transcription level. Notably, we revealed that ZNF131 activated the AKT signaling by enhancing PAIP1 expression in HCC cells. AKT inhibitor markedly attenuated ZNF131-enhanced HCC cell proliferation. Restoring PAIP1 expression abrogated the inhibitory effects of ZNF131 knockdown on HCC cell proliferation and colony formation. To conclude, ZNF131 was highly expressed and acted as an oncogene in HCC. ZNF131, which was activated by YAP1, promoted HCC cell proliferation through transcriptional regulation of PAIP1.
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Affiliation(s)
- Guozhi Yin
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, China
| | - Siying Jia
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, China
| | - Youju Zhang
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, China
| | - Yao Xian
- Department of Nutrition, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, China
| | - Yong Guo
- Department of Gastrointestinal Surgery, Shangluo Central Hospital, Shangluo, 726000, China
| | - Qingguang Liu
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, China.
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Jin M, Mi Y, Li F, Ren F, Deng Y, Zheng P. ZNF131 facilitates the growth of hepatocellular carcinoma by acting as a transcriptional activator of SMC4 expression. Biochem Biophys Res Commun 2024; 696:149515. [PMID: 38241815 DOI: 10.1016/j.bbrc.2024.149515] [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: 12/28/2023] [Accepted: 01/10/2024] [Indexed: 01/21/2024]
Abstract
ZNF131 is a Zinc finger protein that acts as a transcription factor with oncogenic effects in multiple cancers. In this study, we aimed to explore the alternative splicing profile of ZNF131 in hepatocellular carcinoma (HCC), its regulatory effects on cell-cycle progression, and the downstream effectors. ZNF131 transcriptional profile and HCC survival analysis were conducted using data from the Cancer Genome Atlas (TCGA)-Liver Hepatocellular Cancer (LIHC) dataset. Chromatin immunoprecipitation (ChIP)-qPCR and dual-luciferase reporter assays were utilized to explore transcriptional regulation. CCK-8, colony formation and xenograft tumor models were used to study HCC tumor growth. Results showed that ZNF131 isoform 2 is upregulated in HCC tissues and its upregulation was associated with unfavorable overall survival (OS) and progression-free interval (PFI). Knockdown of endogenous ZNF131 inhibits HCC cell growth and induces G2/M cell-cycle arrest. ZNF131 binds to the SMC4 promoter by interacting with ZBTB33 and the ZBTB33 recognizing motif. ZNF131 transcriptionally activates SMC4 expression in HCC cells. The tumor-suppressive effects of ZNF131 shRNA could be partially reversed by enforced SMC4 overexpression. In summary, this study highlights the ZNF131/ZBTB33/SMC4 axis as a driver of pathological cell cycling and proliferation in HCC.
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Affiliation(s)
- Meng Jin
- Henan Key Laboratory of Helicobacter Pylori & Microbiota and Gastrointestinal Cancer, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China; Academy of Medical Science, Zhengzhou University, Zhengzhou, Henan, China
| | - Yang Mi
- Henan Key Laboratory of Helicobacter Pylori & Microbiota and Gastrointestinal Cancer, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China; Academy of Medical Science, Zhengzhou University, Zhengzhou, Henan, China; Department of Gastroenterology, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Fazhan Li
- Henan Key Laboratory of Helicobacter Pylori & Microbiota and Gastrointestinal Cancer, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China; Academy of Medical Science, Zhengzhou University, Zhengzhou, Henan, China
| | - Feifei Ren
- Henan Key Laboratory of Helicobacter Pylori & Microbiota and Gastrointestinal Cancer, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China; Academy of Medical Science, Zhengzhou University, Zhengzhou, Henan, China
| | - Ying Deng
- Cancer Center, Sichuan Academy of Medical Science & Sichuan Provincial People's Hospital, Chengdu, Sichuan, China
| | - Pengyuan Zheng
- Henan Key Laboratory of Helicobacter Pylori & Microbiota and Gastrointestinal Cancer, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China; Academy of Medical Science, Zhengzhou University, Zhengzhou, Henan, China; Department of Gastroenterology, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
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5
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Zhou P, Shen J, Ge X, Cheng H, Sun Y, Li M, Li H, Yi Z, Li Z. Identification and validation of ubiquitination-related signature and subgroups in immune microenvironment of tuberculosis. Aging (Albany NY) 2023; 15:12570-12587. [PMID: 37950733 PMCID: PMC10683621 DOI: 10.18632/aging.205198] [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: 07/04/2023] [Accepted: 10/07/2023] [Indexed: 11/13/2023]
Abstract
BACKGROUND Mycobacterium tuberculosis (Mtb) is the bacterial pathogen responsible for causing tuberculosis (TB), a severe public health concern that results in numerous deaths worldwide. Ubiquitination (Ub) is an essential physiological process that aids in maintaining homeostasis and contributes to the development of TB. Therefore, the main objective of our study was to investigate the potential role of Ub-related genes in TB. METHODS Our research entailed utilizing single sample gene set enrichment analysis (ssGSEA) in combination with several machine learning techniques to discern the Ub-related signature of TB and identify potential diagnostic markers that distinguish TB from healthy controls (HC). RESULTS In summary, we used the ssGSEA algorithm to determine the score of Ub families (E1, E2, E3, DUB, UBD, and ULD). Notably, the score of E1, E3, and UBD were lower in TB patients than in HC individuals, and we identified 96 Ub-related differentially expressed genes (UbDEGs). Employing machine learning algorithms, we identified 11 Ub-related hub genes and defined two distinct Ub-related subclusters. Notably, through GSVA and functional analysis, it was determined that these subclusters were implicated in numerous immune-related processes. We further investigated these Ub-related hub genes in four TB-related diseases and found that TRIM68 exhibited higher correlations with various immune cells in different conditions, indicating that it may play a crucial role in the immune process of these diseases. CONCLUSION The observed enrichment of Ub-related gene expression in TB patients emphasizes the potential involvement of ubiquitination in the progression of TB. These significant findings establish a basis for future investigations to elucidate the molecular mechanisms associated with TB, select suitable diagnostic biomarkers, and design innovative therapeutic interventions for combating this fatal infectious disease.
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Affiliation(s)
- Peipei Zhou
- School of Medical Laboratory, Weifang Medical University, Weifang, Shandong 261053, People’s Republic of China
| | - Jie Shen
- School of Medical Laboratory, Weifang Medical University, Weifang, Shandong 261053, People’s Republic of China
| | - Xiao Ge
- School of Medical Laboratory, Weifang Medical University, Weifang, Shandong 261053, People’s Republic of China
| | - Haien Cheng
- School of Medical Laboratory, Weifang Medical University, Weifang, Shandong 261053, People’s Republic of China
| | - Yanli Sun
- School of Medical Laboratory, Weifang Medical University, Weifang, Shandong 261053, People’s Republic of China
| | - Meng Li
- School of Medical Laboratory, Weifang Medical University, Weifang, Shandong 261053, People’s Republic of China
| | - Heng Li
- School of Medical Laboratory, Weifang Medical University, Weifang, Shandong 261053, People’s Republic of China
- Engineering Research Institute of Precision Medicine Innovation and Transformation of Infections Diseases, Weifang Medical University, Weifang, Shandong 261053
| | - Zhengjun Yi
- School of Medical Laboratory, Weifang Medical University, Weifang, Shandong 261053, People’s Republic of China
- Engineering Research Institute of Precision Medicine Innovation and Transformation of Infections Diseases, Weifang Medical University, Weifang, Shandong 261053
| | - Zhenpeng Li
- School of Medical Laboratory, Weifang Medical University, Weifang, Shandong 261053, People’s Republic of China
- Engineering Research Institute of Precision Medicine Innovation and Transformation of Infections Diseases, Weifang Medical University, Weifang, Shandong 261053
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6
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Zhang W, Yang C, Hu Y, Yi K, Xiao W, Xu X, Chen Z. Comprehensive analysis of the correlation of the pan-cancer gene HAUS5 with prognosis and immune infiltration in liver cancer. Sci Rep 2023; 13:2409. [PMID: 36765148 PMCID: PMC9918732 DOI: 10.1038/s41598-023-28653-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Accepted: 01/23/2023] [Indexed: 02/12/2023] Open
Abstract
Liver hepatocellular carcinoma (LIHC) is one of the most common malignancies and places a heavy burden on patients worldwide. HAUS augmin-like complex subunit 5 (HAUS5) is involved in the occurrence and development of various cancers. However, the functional role and significance of HAUS5 in LIHC remain unclear. The Cancer Genome Atlas (TCGA), Genotype-Tissue Expression (GTEx), Cancer Cell Line Encyclopedia (CCLE) and Gene Expression Omnibus (GEO) databases were used to analyze the mRNA expression of HAUS5. The value of HAUS5 in predicting LIHC prognosis and the relationship between HAUS5 and clinicopathological features were assessed by the Kaplan-Meier plotter and UALCAN databases. Functional enrichment analyses and nomogram prediction model construction were performed with the R packages. The LinkedOmics database was searched to reveal co-expressed genes associated with HAUS5. The relationship between HAUS5 expression and immune infiltration was explored by searching the TISIDB database and single-sample gene set enrichment analysis (ssGSEA). The Clinical Proteomic Tumor Analysis Consortium (CPTAC) and the Human Protein Atlas (HPA) databases were used to evaluate HAUS5 protein expression. Finally, the effect of HAUS5 on the proliferation of hepatoma cells was verified by CCK-8, colony formation and EdU assays. HAUS5 is aberrantly expressed and associated with a poor prognosis in most tumors, including LIHC. The expression of HAUS5 is significantly correlated with clinicopathological indicators in patients with LIHC. Functional enrichment analysis showed that HAUS5 was closely related to DNA replication, cell cycle and p53 signaling pathway. HAUS5 may serve as an independent risk factor for LIHC prognosis. The nomogram based on HAUS5 had area under the curve (AUC) values of 0.74 and 0.77 for predicting the 3-year and 5-year overall survival (OS) of LIHC patients. Immune correlation analysis showed that HAUS5 was significantly associated with immune infiltration. Finally, the results of in vitro experiments showed that when HAUS5 was knocked down, the proliferation of hepatoma cells was significantly decreased. The pan-oncogene HAUS5 is a positive regulator of LIHC progression and is closely associated with a poor prognosis in LIHC. Moreover, HAUS5 is involved in immune infiltration in LIHC. HAUS5 may be a new prognostic marker and therapeutic target for LIHC patients.
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Affiliation(s)
- Wenbing Zhang
- Suzhou Medical College of Soochow University, Suzhou, Jiangsu, China
- Department of General Surgery, The First People's Hospital of Taicang, Taicang Affiliated Hospital of Soochow University, No. 58 Changsheng South Road, Taicang, Suzhou, 215400, Jiangsu, People's Republic of China
| | - Chi Yang
- Suzhou Medical College of Soochow University, Suzhou, Jiangsu, China
- Department of General Surgery, The First People's Hospital of Taicang, Taicang Affiliated Hospital of Soochow University, No. 58 Changsheng South Road, Taicang, Suzhou, 215400, Jiangsu, People's Republic of China
| | - Yan Hu
- Central Laboratory, The First People's Hospital of Taicang, Taicang Affiliated Hospital of Soochow University, No. 58 Changsheng South Road, Taicang, Suzhou, 215400, Jiangsu, People's Republic of China
| | - Ke Yi
- Central Laboratory, The First People's Hospital of Taicang, Taicang Affiliated Hospital of Soochow University, No. 58 Changsheng South Road, Taicang, Suzhou, 215400, Jiangsu, People's Republic of China
| | - Wangwen Xiao
- Central Laboratory, The First People's Hospital of Taicang, Taicang Affiliated Hospital of Soochow University, No. 58 Changsheng South Road, Taicang, Suzhou, 215400, Jiangsu, People's Republic of China
| | - Xiaohui Xu
- Suzhou Medical College of Soochow University, Suzhou, Jiangsu, China.
- Department of General Surgery, The First People's Hospital of Taicang, Taicang Affiliated Hospital of Soochow University, No. 58 Changsheng South Road, Taicang, Suzhou, 215400, Jiangsu, People's Republic of China.
- Central Laboratory, The First People's Hospital of Taicang, Taicang Affiliated Hospital of Soochow University, No. 58 Changsheng South Road, Taicang, Suzhou, 215400, Jiangsu, People's Republic of China.
| | - Zhihua Chen
- Suzhou Medical College of Soochow University, Suzhou, Jiangsu, China.
- Department of General Surgery, The First People's Hospital of Taicang, Taicang Affiliated Hospital of Soochow University, No. 58 Changsheng South Road, Taicang, Suzhou, 215400, Jiangsu, People's Republic of China.
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7
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Hoellerbauer P, Biery MC, Arora S, Rao Y, Girard EJ, Mitchell K, Dighe P, Kufeld M, Kuppers DA, Herman JA, Holland EC, Soroceanu L, Vitanza NA, Olson JM, Pritchard JR, Paddison PJ. Functional genomic analysis of adult and pediatric brain tumor isolates. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.01.05.522885. [PMID: 36711964 PMCID: PMC9881972 DOI: 10.1101/2023.01.05.522885] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
Background Adult and pediatric tumors display stark differences in their mutation spectra and chromosome alterations. Here, we attempted to identify common and unique gene dependencies and their associated biomarkers among adult and pediatric tumor isolates using functional genetic lethal screens and computational modeling. Methods We performed CRISRP-Cas9 lethality screens in two adult glioblastoma (GBM) tumor isolates and five pediatric brain tumor isolates representing atypical teratoid rhabdoid tumors (ATRT), diffuse intrinsic pontine glioma, GBM, and medulloblastoma. We then integrated the screen results with machine learning-based gene-dependency models generated from data from >900 cancer cell lines. Results We found that >50% of candidate dependencies of 280 identified were shared between adult GBM tumors and individual pediatric tumor isolates. 68% of screen hits were found as nodes in our network models, along with shared and tumor-specific predictors of gene dependencies. We investigated network predictors associated with ADAR, EFR3A, FGFR1 (pediatric-specific), and SMARCC2 (ATRT-specific) gene dependency among our tumor isolates. Conclusions The results suggest that, despite harboring disparate genomic signatures, adult and pediatric tumor isolates share a preponderance of genetic dependences. Further, combining data from primary brain tumor lethality screens with large cancer cell line datasets produced valuable insights into biomarkers of gene dependency, even for rare cancers. Importance of the Study Our results demonstrate that large cancer cell lines data sets can be computationally mined to identify known and novel gene dependency relationships in adult and pediatric human brain tumor isolates. Gene dependency networks and lethality screen results represent a key resource for neuro-oncology and cancer research communities. We also highlight some of the challenges and limitations of this approach.
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Affiliation(s)
- Pia Hoellerbauer
- Human Biology Division, Fred Hutchinson Cancer Center, Seattle, WA USA
- Molecular and Cellular Biology Program, University of Washington, Seattle, WA USA
| | - Matt C Biery
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA USA
- Ben Towne Center for Childhood Cancer Research, Seattle Children's Research Institute, Seattle, WA, USA
| | - Sonali Arora
- Human Biology Division, Fred Hutchinson Cancer Center, Seattle, WA USA
| | - Yiyun Rao
- Huck Institute for the Life Sciences, Pennsylvania State University, State College, PA, USA
| | - Emily J Girard
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA USA
| | - Kelly Mitchell
- Human Biology Division, Fred Hutchinson Cancer Center, Seattle, WA USA
| | - Pratiksha Dighe
- California Pacific Medical Center Research Institute, San Francisco, CA 94107, USA
| | - Megan Kufeld
- Human Biology Division, Fred Hutchinson Cancer Center, Seattle, WA USA
| | - Daniel A Kuppers
- Human Biology Division, Fred Hutchinson Cancer Center, Seattle, WA USA
| | - Jacob A Herman
- Human Biology Division, Fred Hutchinson Cancer Center, Seattle, WA USA
| | - Eric C Holland
- Human Biology Division, Fred Hutchinson Cancer Center, Seattle, WA USA
| | - Liliana Soroceanu
- California Pacific Medical Center Research Institute, San Francisco, CA 94107, USA
| | - Nicholas A Vitanza
- Ben Towne Center for Childhood Cancer Research, Seattle Children's Research Institute, Seattle, WA, USA
| | - James M Olson
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA USA
- Ben Towne Center for Childhood Cancer Research, Seattle Children's Research Institute, Seattle, WA, USA
| | - Justin R Pritchard
- Huck Institute for the Life Sciences, Pennsylvania State University, State College, PA, USA
| | - Patrick J Paddison
- Human Biology Division, Fred Hutchinson Cancer Center, Seattle, WA USA
- Molecular and Cellular Biology Program, University of Washington, Seattle, WA USA
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8
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Zhang JQ, Pan JQ, Wei ZY, Ren CY, Ru FX, Xia SY, He YS, Lin K, Chen JH. Brain Epitranscriptomic Analysis Revealed Altered A-to-I RNA Editing in Septic Patients. Front Genet 2022; 13:887001. [PMID: 35559016 PMCID: PMC9086164 DOI: 10.3389/fgene.2022.887001] [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: 03/01/2022] [Accepted: 03/16/2022] [Indexed: 12/04/2022] Open
Abstract
Recent studies suggest that RNA editing is associated with impaired brain function and neurological and psychiatric disorders. However, the role of A-to-I RNA editing during sepsis-associated encephalopathy (SAE) remains unclear. In this study, we analyzed adenosine-to-inosine (A-to-I) RNA editing in postmortem brain tissues from septic patients and controls. A total of 3024 high-confidence A-to-I RNA editing sites were identified. In sepsis, there were fewer A-to-I RNA editing genes and editing sites than in controls. Among all A-to-I RNA editing sites, 42 genes showed significantly differential RNA editing, with 23 downregulated and 19 upregulated in sepsis compared to controls. Notably, more than 50% of these genes were highly expressed in the brain and potentially related to neurological diseases. Notably, cis-regulatory analysis showed that the level of RNA editing in six differentially edited genes was significantly correlated with the gene expression, including HAUS augmin-like complex subunit 2 (HAUS2), protein phosphatase 3 catalytic subunit beta (PPP3CB), hook microtubule tethering protein 3 (HOOK3), CUB and Sushi multiple domains 1 (CSMD1), methyltransferase-like 7A (METTL7A), and kinesin light chain 2 (KLC2). Furthermore, enrichment analysis showed that fewer gene functions and KEGG pathways were enriched by edited genes in sepsis compared to controls. These results revealed alteration of A-to-I RNA editing in the human brain associated with sepsis, thus providing an important basis for understanding its role in neuropathology in SAE.
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Affiliation(s)
- Jing-Qian Zhang
- Laboratory of Genomic and Precision Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, China.,Joint Primate Research Center for Chronic Diseases, Wuxi School of Medicine, Jiangnan University and Institute of Zoology, Guangdong Academy of Sciences, Jiangnan University, Wuxi, China.,Jiangnan University Brain Institute, Wuxi, China
| | - Jia-Qi Pan
- Laboratory of Genomic and Precision Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, China.,Joint Primate Research Center for Chronic Diseases, Wuxi School of Medicine, Jiangnan University and Institute of Zoology, Guangdong Academy of Sciences, Jiangnan University, Wuxi, China.,Jiangnan University Brain Institute, Wuxi, China
| | - Zhi-Yuan Wei
- Laboratory of Genomic and Precision Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, China.,Joint Primate Research Center for Chronic Diseases, Wuxi School of Medicine, Jiangnan University and Institute of Zoology, Guangdong Academy of Sciences, Jiangnan University, Wuxi, China.,Jiangnan University Brain Institute, Wuxi, China
| | - Chun-Yan Ren
- Laboratory of Genomic and Precision Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, China.,Joint Primate Research Center for Chronic Diseases, Wuxi School of Medicine, Jiangnan University and Institute of Zoology, Guangdong Academy of Sciences, Jiangnan University, Wuxi, China.,Jiangnan University Brain Institute, Wuxi, China
| | - Fu-Xia Ru
- Laboratory of Genomic and Precision Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, China.,Joint Primate Research Center for Chronic Diseases, Wuxi School of Medicine, Jiangnan University and Institute of Zoology, Guangdong Academy of Sciences, Jiangnan University, Wuxi, China.,Jiangnan University Brain Institute, Wuxi, China.,Jieyang People's Hospital, Jieyang, China
| | - Shou-Yue Xia
- Laboratory of Genomic and Precision Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, China.,Joint Primate Research Center for Chronic Diseases, Wuxi School of Medicine, Jiangnan University and Institute of Zoology, Guangdong Academy of Sciences, Jiangnan University, Wuxi, China.,Jiangnan University Brain Institute, Wuxi, China
| | - Yu-Shan He
- Laboratory of Genomic and Precision Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, China.,Joint Primate Research Center for Chronic Diseases, Wuxi School of Medicine, Jiangnan University and Institute of Zoology, Guangdong Academy of Sciences, Jiangnan University, Wuxi, China.,Jiangnan University Brain Institute, Wuxi, China
| | | | - Jian-Huan Chen
- Laboratory of Genomic and Precision Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, China.,Joint Primate Research Center for Chronic Diseases, Wuxi School of Medicine, Jiangnan University and Institute of Zoology, Guangdong Academy of Sciences, Jiangnan University, Wuxi, China.,Jiangnan University Brain Institute, Wuxi, China
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9
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O'Connor SA, Feldman HM, Arora S, Hoellerbauer P, Toledo CM, Corrin P, Carter L, Kufeld M, Bolouri H, Basom R, Delrow J, McFaline-Figueroa JL, Trapnell C, Pollard SM, Patel A, Paddison PJ, Plaisier CL. Neural G0: a quiescent-like state found in neuroepithelial-derived cells and glioma. Mol Syst Biol 2021; 17:e9522. [PMID: 34101353 PMCID: PMC8186478 DOI: 10.15252/msb.20209522] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2020] [Revised: 04/30/2021] [Accepted: 05/14/2021] [Indexed: 12/13/2022] Open
Abstract
Single‐cell RNA sequencing has emerged as a powerful tool for resolving cellular states associated with normal and maligned developmental processes. Here, we used scRNA‐seq to examine the cell cycle states of expanding human neural stem cells (hNSCs). From these data, we constructed a cell cycle classifier that identifies traditional cell cycle phases and a putative quiescent‐like state in neuroepithelial‐derived cell types during mammalian neurogenesis and in gliomas. The Neural G0 markers are enriched with quiescent NSC genes and other neurodevelopmental markers found in non‐dividing neural progenitors. Putative glioblastoma stem‐like cells were significantly enriched in the Neural G0 cell population. Neural G0 cell populations and gene expression are significantly associated with less aggressive tumors and extended patient survival for gliomas. Genetic screens to identify modulators of Neural G0 revealed that knockout of genes associated with the Hippo/Yap and p53 pathways diminished Neural G0 in vitro, resulting in faster G1 transit, down‐regulation of quiescence‐associated markers, and loss of Neural G0 gene expression. Thus, Neural G0 represents a dynamic quiescent‐like state found in neuroepithelial‐derived cells and gliomas.
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Affiliation(s)
- Samantha A O'Connor
- School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, USA
| | - Heather M Feldman
- Human Biology Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Sonali Arora
- Human Biology Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Pia Hoellerbauer
- Human Biology Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.,Molecular and Cellular Biology Program, University of Washington, Seattle, WA, USA
| | - Chad M Toledo
- Human Biology Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.,Molecular and Cellular Biology Program, University of Washington, Seattle, WA, USA
| | - Philip Corrin
- Human Biology Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Lucas Carter
- Human Biology Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Megan Kufeld
- Human Biology Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Hamid Bolouri
- Human Biology Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Ryan Basom
- Genomics and Bioinformatics Shared Resources, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Jeffrey Delrow
- Genomics and Bioinformatics Shared Resources, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | | | - Cole Trapnell
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Steven M Pollard
- Edinburgh CRUK Cancer Research Centre, MRC Centre for Regenerative Medicine, The University of Edinburgh, Edinburgh, UK
| | - Anoop Patel
- Human Biology Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.,Department of Neurosurgery, University of Washington, Seattle, WA, USA
| | - Patrick J Paddison
- Human Biology Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.,Molecular and Cellular Biology Program, University of Washington, Seattle, WA, USA
| | - Christopher L Plaisier
- School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, USA
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10
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Ithal D, Sukumaran SK, Bhattacharjee D, Vemula A, Nadella R, Mahadevan J, Sud R, Viswanath B, Purushottam M, Jain S. Exome hits demystified: The next frontier. Asian J Psychiatr 2021; 59:102640. [PMID: 33892377 DOI: 10.1016/j.ajp.2021.102640] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Accepted: 03/26/2021] [Indexed: 12/13/2022]
Abstract
Severe mental illnesses such as schizophrenia and bipolar disorder have complex inheritance patterns, involving both common and rare variants. Whole exome sequencing is a promising approach to find out the rare genetic variants. We had previously reported several rare variants in multiplex families with severe mental illnesses. The current article tries to summarise the biological processes and pattern of expression of genes harbouring the aforementioned variants, linking them to known clinical manifestations through a methodical narrative review. Of the 28 genes considered for this review from 7 families with multiple affected individuals, 6 genes are implicated in various neuropsychiatric manifestations including some variations in the brain morphology assessed by magnetic resonance imaging. Another 15 genes, though associated with neuropsychiatric manifestations, did not have established brain morphological changes whereas the remaining 7 genes did not have any previously recorded neuropsychiatric manifestations at all. Wnt/b-catenin signaling pathway was associated with 6 of these genes and PI3K/AKT, calcium signaling, ERK, RhoA and notch signaling pathways had at least 2 gene associations. We present a comprehensive review of biological and clinical knowledge about the genes previously reported in multiplex families with severe mental illness. A 'disease in dish approach' can be helpful to further explore the fundamental mechanisms.
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Affiliation(s)
- Dhruva Ithal
- Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bengaluru, Karnataka, India
| | - Salil K Sukumaran
- Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bengaluru, Karnataka, India
| | - Debanjan Bhattacharjee
- Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bengaluru, Karnataka, India
| | - Alekhya Vemula
- Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bengaluru, Karnataka, India
| | - Ravi Nadella
- Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bengaluru, Karnataka, India
| | - Jayant Mahadevan
- Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bengaluru, Karnataka, India
| | - Reeteka Sud
- Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bengaluru, Karnataka, India
| | - Biju Viswanath
- Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bengaluru, Karnataka, India
| | - Meera Purushottam
- Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bengaluru, Karnataka, India.
| | - Sanjeev Jain
- Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bengaluru, Karnataka, India
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11
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LINC00470 accelerates the proliferation and metastasis of melanoma through promoting APEX1 expression. Cell Death Dis 2021; 12:410. [PMID: 33875645 PMCID: PMC8055894 DOI: 10.1038/s41419-021-03612-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2020] [Revised: 03/05/2021] [Accepted: 03/10/2021] [Indexed: 12/16/2022]
Abstract
Recently studies found that APEX1 was abnormally expressed in melanoma, indicating that it might be involved in the development of melanoma. However, the underlying mechanism and the interaction between APEX1 and LINC00470 in melanoma are not clear. Therefore, we aimed to investigate the role of LINC00470 in the development of melanoma in this work. We discovered that LINC00470 was overexpressed in melanoma tissues and cells compared with the adjacent normal tissues and cells by qPCR. The overexpression of LINC00470 promoted the proliferation and migration of melanoma cells. The functional investigation demonstrated that LINC00470 activated the transcription factor, ZNF131, to regulate the APEX1 expression, which finally promoted cell proliferation and migration. In contrast, knockdown of LINC00470 could significantly inhibit the melanoma cell proliferation and migration, and suppress the growth of tumor in vivo. Overexpression of APEX1 could reverse the impact of the silence of LINC00470 in melanoma cells. In summary, our studies revealed that LINC00470 promoted melanoma proliferation and migration by enhancing the expression of APEX1, which indicated that LINC00470 might be a therapeutic target for the treatment of melanoma.
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12
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Yu B, Liang H, Ye Q, Wang Y. Establishment of a Genomic-Clinicopathologic Nomogram for Predicting Early Recurrence of Hepatocellular Carcinoma After R0 Resection. J Gastrointest Surg 2021; 25:112-124. [PMID: 32128678 DOI: 10.1007/s11605-020-04554-1] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2019] [Accepted: 02/18/2020] [Indexed: 02/06/2023]
Abstract
BACKGROUND A high rate of postoperative recurrence, especially early recurrence (ER) occurring within 1 year, seriously impedes patients with hepatocellular carcinoma (HCC) from achieving long-term survival. This study aimed to establish a genomic-clinicopathologic nomogram for precisely predicting ER in HCC patients after R0 resection. METHODS Two reliable datasets from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) databases were selected as the training and validation cohorts, respectively. The prognostic genes related to ER were screened out by univariate Cox regression analysis and differential expression analysis. The gene-based prognostic index was constructed using LASSO and Cox regression analyses, and its independent prognostic value was assessed by Kaplan-Meier and multivariate Cox analyses. Gene set enrichment analysis (GSEA) was performed to explore the biological pathways related to the prognostic index. Finally, the nomogram integrating all the independent prognostic factors was established and comprehensively evaluated by calibration plots, the C-index, receiver operating characteristic curves, and decision curve analysis. RESULTS Nine dysregulated and prognostic genes related to ER (ZNF131, TATDN2, TXN, DDX55, KPNA2, ZNF30, TIMELESS, SFRP1, and COLEC11) were identified (all P < 0.05). The prognostic index model based on the 9 genes was successfully constructed using the TCGA cohort and showed a certain capability to discriminate the ER group from the non-ER group (P < 0.05) and good independent prognostic value in terms of predicting poor early recurrence-free survival (P < 0.05). Eight biological pathways significantly related to ER were identified by GSEA, such as "cell cycle", "homologous recombination" and "p53 signaling pathway." The genomic-clinicopathologic nomogram integrating the 9-gene-based prognostic index and TNM stage displayed significantly higher predictive accuracy and clinical application value than that of TNM stage model both in the training and validation cohorts (all P < 0.05). CONCLUSIONS The novel genomic-clinicopathologic nomogram may be a convenient and powerful tool for accurately predicting ER in HCC patients after R0 resection.
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Affiliation(s)
- Bin Yu
- Zhongnan Hospital of Wuhan University, Institute of Hepatobiliary Diseases of Wuhan University, Transplant Center of Wuhan University, Hubei Key Laboratory of Medical Technology on Transplantation, Wuhan, 430071, Hubei, People's Republic of China
| | - Han Liang
- Zhongnan Hospital of Wuhan University, Institute of Hepatobiliary Diseases of Wuhan University, Transplant Center of Wuhan University, Hubei Key Laboratory of Medical Technology on Transplantation, Wuhan, 430071, Hubei, People's Republic of China
| | - Qifa Ye
- Zhongnan Hospital of Wuhan University, Institute of Hepatobiliary Diseases of Wuhan University, Transplant Center of Wuhan University, Hubei Key Laboratory of Medical Technology on Transplantation, Wuhan, 430071, Hubei, People's Republic of China.,TThe 3rd Xiangya Hospital of Central South University, Research Center of National Health Ministry on Transplantation Medicine Engineering and Technology, Changsha, 410013, Hunan, People's Republic of China
| | - Yanfeng Wang
- Zhongnan Hospital of Wuhan University, Institute of Hepatobiliary Diseases of Wuhan University, Transplant Center of Wuhan University, Hubei Key Laboratory of Medical Technology on Transplantation, Wuhan, 430071, Hubei, People's Republic of China.
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13
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Iguchi T, Miyauchi E, Watanabe S, Masai H, Miyatake S. A BTB-ZF protein, ZNF131, is required for early B cell development. Biochem Biophys Res Commun 2018; 501:570-575. [PMID: 29750959 DOI: 10.1016/j.bbrc.2018.05.044] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2018] [Accepted: 05/07/2018] [Indexed: 10/16/2022]
Abstract
Members of the BTB-ZF transcription factor family play important roles in lymphocyte development. During T cell development, ZNF131, a BTB-ZF protein, is critical for the double-negative (DN) to double-positive (DP) transition and is also involved in cell proliferation. Here, we report that knockout of Znf131 at the pre-pro-B cell stage in mb1-Cre knock-in mouse resulted in defect of pro-B to pre-B cell transition. ZNF131 was shown to be required for efficient pro-B cell proliferation as well as for immunoglobulin heavy chain gene rearrangement that occurs in the proliferating pro-B cells. We speculate that inefficient gene rearrangement may be due to loss of cell proliferation, since cell cycle progression and immunoglobulin gene rearrangement, which would occur in a mutually exclusive manner, may be interconnected or coupled to avoid occurrence of genomic instability. ZNF131 suppresses expression of Cdk inhibitor, p21cip1, and that of pro-apoptotic factors, Bax and Puma, targets of p53, to facilitate cell cycle progression and suppress unnecessary apoptosis, respectively, of pro-B cells. There results demonstrate the essential roles of ZNF131 in coordinating the B cell differentiation and proliferation.
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Affiliation(s)
- Tomohiro Iguchi
- Department of Genome Medicine, Tokyo Metropolitan Institute of Medical Science, 4-6-1 Kamikitazawa, Setagaya-ku, Tokyo 156-8506, Japan
| | - Emako Miyauchi
- Department of Genome Medicine, Tokyo Metropolitan Institute of Medical Science, 4-6-1 Kamikitazawa, Setagaya-ku, Tokyo 156-8506, Japan
| | - Sumiko Watanabe
- Division of Molecular and Developmental Biology, Institute of Medical Science, University of Tokyo, Shirokane-dai 4-6-1, Minatoku-ku, Tokyo 108-8639, Japan
| | - Hisao Masai
- Department of Genome Medicine, Tokyo Metropolitan Institute of Medical Science, 4-6-1 Kamikitazawa, Setagaya-ku, Tokyo 156-8506, Japan
| | - Shoichiro Miyatake
- Department of Genome Medicine, Tokyo Metropolitan Institute of Medical Science, 4-6-1 Kamikitazawa, Setagaya-ku, Tokyo 156-8506, Japan; Graduate School of Environmental Health Sciences, Azabu University, 1-17-71 Chuo-ku, Fuchinobe, Sagamihara, Kanagawa 252-5201, Japan.
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