1
|
Shang X, Wang H, Gu J, Zhao X, Zhang J, Sun B, Zhu X. Ferroptosis-related gene transferrin receptor protein 1 expression correlates with the prognosis and tumor immune microenvironment in cervical cancer. PeerJ 2024; 12:e17842. [PMID: 39131609 PMCID: PMC11313409 DOI: 10.7717/peerj.17842] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2024] [Accepted: 07/10/2024] [Indexed: 08/13/2024] Open
Abstract
Background Ferroptosis is a non-apoptotic iron-dependent form of cell death implicated in various cancer pathologies. However, its precise role in tumor growth and progression of cervical cancer (CC) remains unclear. Transferrin receptor protein 1 (TFRC), a key molecule associated with ferroptosis, has been identified as influencing a broad range of pathological processes in different cancers. However, the prognostic significance of TFRC in CC remains unclear. The present study utilized bioinformatics to explore the significance of the ferroptosis-related gene TFRC in the progression and prognosis of CC. Methods We obtained RNA sequencing data and corresponding clinical information on patients with CC from The Cancer Genome Atlas (TCGA), Genotype Tissue Expression (GTEx) and Gene Expression Omnibus (GEO) databases. Using least absolute shrinkage and selection operator (LASSO) Cox regression, we then generated a multigene signature of five ferroptosis-related genes (FRGs) for the prognostic prediction of CC. We investigated the relationship between TFRC gene expression and immune cell infiltration by employing single-sample GSEA (ssGSEA) analysis. The potential functional role of the TFRC gene was evaluated through gene set enrichment analysis (GSEA). Immunohistochemistry and qPCR was employed to assess TFRC mRNA and protein expression in 33 cases of cervical cancer. Furthermore, the relationship between TFRC mRNA expression and overall survival (OS) was investigated in patients. Results CC samples had significantly higher TFRC gene expression levels than normal tissue samples. Higher TFRC gene expression levels were strongly associated with higher cancer T stages and OS events. The findings of multivariate analyses illustrated that the OS in CC patients with high TFRC expression is shorter than in patients with low TFRC expression. Significant increases were observed in the levels of TFRC mRNA and protein expression in patients diagnosed with CC. Conclusion Increased TFRC expression in CC was associated with disease progression, an unfavorable prognosis, and dysregulated immune cell infiltration. In addition, it highlights ferroptosis as a promising therapeutic target for CC.
Collapse
Affiliation(s)
- Xiujuan Shang
- Department of Laboratory Medicine, Lianyungang Affiliated Hospital of Nanjing University of Chinese Medicine, Lianyungang, Jiangsu, China
| | - Hongdong Wang
- Lianyungang Maternal and Child Health Hospital, Lianyungang, Jiangsu, China
| | - Jin Gu
- Department of Laboratory Medicine, Lianyungang Affiliated Hospital of Nanjing University of Chinese Medicine, Lianyungang, Jiangsu, China
| | - Xiaohui Zhao
- Department of Laboratory Medicine, Lianyungang Affiliated Hospital of Nanjing University of Chinese Medicine, Lianyungang, Jiangsu, China
| | - Jing Zhang
- Department of Pathology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Bohao Sun
- Department of Pathology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Xinming Zhu
- Department of Laboratory Medicine, Lianyungang Affiliated Hospital of Nanjing University of Chinese Medicine, Lianyungang, Jiangsu, China
| |
Collapse
|
2
|
Yang H, Wang H, He Y, Yang Y, Thompson EW, Xia D, Burke LJ, Cao L, Hooper JD, Roberts MS, Crawford DHG, Liang X. Identification and characterization of TM4SF1 + tumor self-seeded cells. Cell Rep 2024; 43:114512. [PMID: 39003738 DOI: 10.1016/j.celrep.2024.114512] [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: 09/11/2023] [Revised: 04/30/2024] [Accepted: 06/30/2024] [Indexed: 07/16/2024] Open
Abstract
Tumor self-seeding is a process whereby circulating tumor cells (CTCs) recolonize the primary tumor, which promotes tumor growth, angiogenesis, and invasion. However, the detailed nature and functions of tumor self-seeded cells (TSCs) have not been well defined due to challenges in tracking and isolating TSCs. Here, we report an accurate animal model using photoconvertible tagging to recapitulate the spontaneous process of tumor self-seeding and identify TSCs as a subpopulation of primary tumor cells with enhanced invasiveness and survival. We demonstrate transmembrane-4-L-six-family-1 (TM4SF1) as a marker of TSCs, which promotes migration, invasion, and anchorage-independent survival in cancer cells. By analyzing single-cell RNA sequencing datasets, we identify a potential TSC population with a metastatic profile in patients with cancer, which is detectable in early-stage disease and expands during cancer progression. In summary, we establish a framework to study TSCs and identify emerging cell targets with diagnostic, prognostic, or therapeutic potential in cancers.
Collapse
Affiliation(s)
- Haotian Yang
- Frazer Institute, Faculty of Medicine, The University of Queensland, Brisbane, QLD 4102, Australia; Gallipoli Medical Research, Greenslopes Private Hospital, Brisbane, QLD 4120, Australia
| | - Haolu Wang
- Frazer Institute, Faculty of Medicine, The University of Queensland, Brisbane, QLD 4102, Australia; Gallipoli Medical Research, Greenslopes Private Hospital, Brisbane, QLD 4120, Australia
| | - Yaowu He
- Mater Research Institute, The University of Queensland, Brisbane, QLD 4102, Australia
| | - Yang Yang
- Frazer Institute, Faculty of Medicine, The University of Queensland, Brisbane, QLD 4102, Australia
| | - Erik W Thompson
- School of Biomedical Sciences, Queensland University of Technology and Translational Research Institute, Brisbane, QLD 4000, Australia
| | - Di Xia
- Genome Innovation Hub, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Leslie J Burke
- Gallipoli Medical Research, Greenslopes Private Hospital, Brisbane, QLD 4120, Australia
| | - Lu Cao
- Gallipoli Medical Research, Greenslopes Private Hospital, Brisbane, QLD 4120, Australia
| | - John D Hooper
- Mater Research Institute, The University of Queensland, Brisbane, QLD 4102, Australia
| | - Michael S Roberts
- Frazer Institute, Faculty of Medicine, The University of Queensland, Brisbane, QLD 4102, Australia
| | - Darrell H G Crawford
- Gallipoli Medical Research, Greenslopes Private Hospital, Brisbane, QLD 4120, Australia; Faculty of Medicine, The University of Queensland, Brisbane, QLD 4006, Australia
| | - Xiaowen Liang
- Frazer Institute, Faculty of Medicine, The University of Queensland, Brisbane, QLD 4102, Australia; Gallipoli Medical Research, Greenslopes Private Hospital, Brisbane, QLD 4120, Australia.
| |
Collapse
|
3
|
Bandesh K, Freeland K, Traurig M, Hanson RL, Bogardus C, Piaggi P, Baier LJ. Pleiotropic effects of an eQTL in the CELSR2/PSRC1/SORT1 cluster that associates with LDL-C and resting metabolic rate. J Clin Endocrinol Metab 2024:dgae498. [PMID: 39018443 DOI: 10.1210/clinem/dgae498] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Revised: 06/17/2024] [Accepted: 07/16/2024] [Indexed: 07/19/2024]
Abstract
CONTEXT The locus CELSR2-PSRC1-SORT1, a primary genetic signal for lipids, has recently been implicated in different metabolic processes. Our investigation identified its association with energy metabolism. OBJECTIVE To determine biological mechanisms that govern diverse functions of this locus. METHODS Genotypes for 491,265 variants in 7,000 clinically characterized American Indians were previously determined using a custom-designed array specific for this longitudinally studied American Indian population. Among the genotyped individuals, 5,205 had measures of fasting lipid levels and 509 had measures of resting metabolic rate (RMR) and substrate oxidation rate assessed through indirect calorimetry. A genome-wide association study (GWAS) for LDL-C levels identified a variant in CELSR2 and the molecular impact of this variant on gene expression was assessed in skeletal muscle biopsies from 207 participants, followed by functional validation in mouse myoblasts using a luciferase assay. RESULTS A GWAS in American Indians identified rs12740374 in CELSR2 as the top signal for LDL-C levels (P = 1 × 10-22); further analysis of this variant identified an unexpected correlation with reduced RMR (effect = -44.3 kcal/day/minor-allele) and carbohydrate oxidation rate (effect = -5.21 mg/hour/kg-EMBS). Tagged variants showed a distinct linkage disequilibrium architecture in American Indians, highlighting a potential functional variant, rs6670347 (minor-allele frequency = 0.20). Positioned in the glucocorticoid receptor's core binding motif, rs6670347 is part of a skeletal muscle-specific enhancer. Human skeletal muscle transcriptome analysis showed CELSR2 as the most differentially expressed gene (P = 1.9 × 10-7), with the RMR-lowering minor allele elevating gene expression. Experiments in mouse myoblasts confirmed enhancer-based regulation of CELSR2 expression, dependent on glucocorticoids. Rs6670347 also associated with increased oxidative phosphorylation gene expression; CELSR2 as a regulator of these genes, suggests potential influence on energy metabolism through muscle oxidative capacity. CONCLUSION Variants in the CELSR2/PSRC1/SORT1 locus exhibit tissue-specific effects on metabolic traits, with an independent role in muscle metabolism through glucocorticoid signaling.
Collapse
Affiliation(s)
- Khushdeep Bandesh
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ, USA
| | - Kendrick Freeland
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ, USA
| | - Michael Traurig
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ, USA
| | - Robert L Hanson
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ, USA
| | - Clifton Bogardus
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ, USA
| | - Paolo Piaggi
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ, USA
| | - Leslie J Baier
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ, USA
| |
Collapse
|
4
|
Lo Faro V, Bhattacharya A, Zhou W, Zhou D, Wang Y, Läll K, Kanai M, Lopera-Maya E, Straub P, Pawar P, Tao R, Zhong X, Namba S, Sanna S, Nolte IM, Okada Y, Ingold N, MacGregor S, Snieder H, Surakka I, Shortt J, Gignoux C, Rafaels N, Crooks K, Verma A, Verma SS, Guare L, Rader DJ, Willer C, Martin AR, Brantley MA, Gamazon ER, Jansonius NM, Joos K, Cox NJ, Hirbo J. Novel ancestry-specific primary open-angle glaucoma loci and shared biology with vascular mechanisms and cell proliferation. Cell Rep Med 2024; 5:101430. [PMID: 38382466 PMCID: PMC10897632 DOI: 10.1016/j.xcrm.2024.101430] [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: 01/05/2022] [Revised: 03/28/2023] [Accepted: 01/25/2024] [Indexed: 02/23/2024]
Abstract
Primary open-angle glaucoma (POAG), a leading cause of irreversible blindness globally, shows disparity in prevalence and manifestations across ancestries. We perform meta-analysis across 15 biobanks (of the Global Biobank Meta-analysis Initiative) (n = 1,487,441: cases = 26,848) and merge with previous multi-ancestry studies, with the combined dataset representing the largest and most diverse POAG study to date (n = 1,478,037: cases = 46,325) and identify 17 novel significant loci, 5 of which were ancestry specific. Gene-enrichment and transcriptome-wide association analyses implicate vascular and cancer genes, a fifth of which are primary ciliary related. We perform an extensive statistical analysis of SIX6 and CDKN2B-AS1 loci in human GTEx data and across large electronic health records showing interaction between SIX6 gene and causal variants in the chr9p21.3 locus, with expression effect on CDKN2A/B. Our results suggest that some POAG risk variants may be ancestry specific, sex specific, or both, and support the contribution of genes involved in programmed cell death in POAG pathogenesis.
Collapse
Affiliation(s)
- Valeria Lo Faro
- Department of Ophthalmology, Amsterdam University Medical Center (AMC), Amsterdam, the Netherlands; Department of Clinical Genetics, Amsterdam University Medical Center (AMC), Amsterdam, the Netherlands; Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Arjun Bhattacharya
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA; Institute for Quantitative and Computational Biosciences, David Geffen School of Medicine, UCLA, Los Angeles, CA, USA
| | - Wei Zhou
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA; Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Dan Zhou
- Department of Medicine, Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, TN, USA; Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Ying Wang
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA; Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Kristi Läll
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Masahiro Kanai
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA; Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA; Department of Statistical Genetics, Osaka University Graduate School of Medicine, Osaka, Japan; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Esteban Lopera-Maya
- University of Groningen, UMCG, Department of Genetics, Groningen, the Netherlands
| | - Peter Straub
- Department of Medicine, Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, TN, USA; Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Priyanka Pawar
- Vanderbilt Eye Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Ran Tao
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Xue Zhong
- Department of Medicine, Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, TN, USA; Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Shinichi Namba
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Serena Sanna
- University of Groningen, UMCG, Department of Genetics, Groningen, the Netherlands; Institute for Genetics and Biomedical Research (IRGB), National Research Council (CNR), Cagliari, Italy
| | - Ilja M Nolte
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Yukinori Okada
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Osaka, Japan; Laboratory for Systems Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan; Laboratory of Statistical Immunology, Immunology Frontier Research Center (WPI-IFReC), Osaka, Japan; Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka, Japan; Center for Infectious Disease Education and Research (CiDER), Osaka University, Osaka, Japan
| | - Nathan Ingold
- Statistical Genetics, QIMR Berghofer Medical Research Institute, Queensland University of Technology, Brisbane, QLD, Australia; School of Biomedical Sciences, Faculty of Health, Queensland University of Technology, Brisbane, QLD, Australia
| | - Stuart MacGregor
- Statistical Genetics, QIMR Berghofer Medical Research Institute, Queensland University of Technology, Brisbane, QLD, Australia
| | - Harold Snieder
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Ida Surakka
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Jonathan Shortt
- Colorado Center for Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Chris Gignoux
- Colorado Center for Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Nicholas Rafaels
- Colorado Center for Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Kristy Crooks
- Colorado Center for Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Anurag Verma
- Department of Medicine, Division of Translational Medicine and Human Genetics, University of Pennsylvania, Philadelphia, PA, USA; Institute for Translational Medicine and Therapeutics, University of Pennsylvania, Philadelphia, PA, USA
| | - Shefali S Verma
- Department of Pathology, University of Pennsylvania, Philadelphia, PA, USA
| | - Lindsay Guare
- Department of Pathology, University of Pennsylvania, Philadelphia, PA, USA; Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA, USA
| | - Daniel J Rader
- Department of Medicine, Division of Translational Medicine and Human Genetics, University of Pennsylvania, Philadelphia, PA, USA; Institute for Translational Medicine and Therapeutics, University of Pennsylvania, Philadelphia, PA, USA; Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
| | - Cristen Willer
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway; Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA; Department of Human Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Alicia R Martin
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA; Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Milam A Brantley
- Vanderbilt Eye Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Eric R Gamazon
- Department of Medicine, Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, TN, USA; Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Nomdo M Jansonius
- Department of Ophthalmology, Amsterdam University Medical Center (AMC), Amsterdam, the Netherlands
| | - Karen Joos
- Vanderbilt Eye Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Nancy J Cox
- Department of Medicine, Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, TN, USA; Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jibril Hirbo
- Department of Medicine, Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, TN, USA; Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA.
| |
Collapse
|
5
|
Chen H, Wang S, Zhang Y, Gao X, Guan Y, Wu N, Wang X, Zhou T, Zhang Y, Cui D, Wang M, Zhang D, Wang J. A prognostic mathematical model based on tumor microenvironment-related genes expression for breast cancer patients. Front Oncol 2023; 13:1209707. [PMID: 37860187 PMCID: PMC10583559 DOI: 10.3389/fonc.2023.1209707] [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: 04/21/2023] [Accepted: 09/18/2023] [Indexed: 10/21/2023] Open
Abstract
Background Tumor microenvironment (TME) status is closely related to breast cancer (BC) prognosis and systemic therapeutic effects. However, to date studies have not considered the interactions of immune and stromal cells at the gene expression level in BC as a whole. Herein, we constructed a predictive model, for adjuvant decision-making, by mining TME molecular expression information related to BC patient prognosis and drug treatment sensitivity. Methods Clinical information and gene expression profiles were extracted from The Cancer Genome Atlas (TCGA), with patients divided into high- and low-score groups according to immune/stromal scores. TME-related prognostic genes were identified using Kaplan-Meier analysis, functional enrichment analysis, and protein-protein interaction (PPI) networks, and validated in the Gene Expression Omnibus (GEO) database. Least absolute shrinkage and selection operator (LASSO) Cox regression analysis was used to construct and verify a prognostic model based on TME-related genes. In addition, the patients' response to chemotherapy and immunotherapy was assessed by survival outcome and immunohistochemistry (IPS). Immunohistochemistry (IHC) staining laid a solid foundation for exploring the value of novel therapeutic target genes. Results By dividing patients into low- and high-risk groups, a significant distinction in overall survival was found (p < 0.05). The risk model was independent of multiple clinicopathological parameters and accurately predicted prognosis in BC patients (p < 0.05). The nomogram-integrated risk score had high prediction accuracy and applicability, when compared with simple clinicopathological features. As predicted by the risk model, regardless of the chemotherapy regimen, the survival advantage of the low-risk group was evident in those patients receiving chemotherapy (p < 0.05). However, in patients receiving anthracycline (A) therapy, outcomes were not significantly different when compared with those receiving no-A therapy (p = 0.24), suggesting these patients may omit from A-containing adjuvant chemotherapy. Our risk model also effectively predicted tumor mutation burden (TMB) and immunotherapy efficacy in BC patients (p < 0.05). Conclusion The prognostic score model based on TME-related genes effectively predicted prognosis and chemotherapy effects in BC patients. The model provides a theoretical basis for novel driver-gene discover in BC and guides the decision-making for the adjuvant treatment of early breast cancer (eBC).
Collapse
Affiliation(s)
- Hong Chen
- Department of Breast Surgery, Second Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Shan Wang
- Department of Breast Surgery, Second Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Yuting Zhang
- Department of Breast Surgery, Second Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Xue Gao
- Department of Pathology, The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Yufu Guan
- Department of Breast and Thyroid Surgery, Affiliated Zhongshan Hospital of Dalian University, Dalian, China
| | - Nan Wu
- Department of Breast Surgery, Second Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Xinyi Wang
- Department of Breast Surgery, Second Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Tianyang Zhou
- Department of Breast Surgery, Second Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Ying Zhang
- Department of Breast Surgery, Second Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Di Cui
- Information Center, Second Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Mijia Wang
- Department of Breast Surgery, Second Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Dianlong Zhang
- Department of Breast and Thyroid Surgery, Affiliated Zhongshan Hospital of Dalian University, Dalian, China
| | - Jia Wang
- Department of Breast Surgery, Second Affiliated Hospital of Dalian Medical University, Dalian, China
| |
Collapse
|
6
|
Wan S, Sun Y, Zong J, Meng W, Yan J, Chen K, Wang S, Guo D, Xiao Z, Zhou Q, Yin Z, Yang M. METTL3-dependent m 6A methylation facilitates uterine receptivity and female fertility via balancing estrogen and progesterone signaling. Cell Death Dis 2023; 14:349. [PMID: 37270544 DOI: 10.1038/s41419-023-05866-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Revised: 05/08/2023] [Accepted: 05/16/2023] [Indexed: 06/05/2023]
Abstract
Infertility is a worldwide reproductive health problem and there are still many unknown etiologies of infertility. In recent years, increasing evidence emerged and confirmed that epigenetic regulation played a leading role in reproduction. However, the function of m6A modification in infertility remains unknown. Here we report that METTL3-dependent m6A methylation plays an essential role in female fertility via balancing the estrogen and progesterone signaling. Analysis of GEO datasets reveal a significant downregulation of METTL3 expression in the uterus of infertile women with endometriosis or recurrent implantation failure. Conditional deletion of Mettl3 in female reproductive tract by using a Pgr-Cre driver results in infertility due to compromised uterine endometrium receptivity and decidualization. m6A-seq analysis of the uterus identifies the 3'UTR of several estrogen-responsive genes with METTL3-dependent m6A modification, like Elf3 and Celsr2, whose mRNAs become more stable upon Mettl3 depletion. However, the decreased expression levels of PR and its target genes, including Myc, in the endometrium of Mettl3 cKO mice indicate a deficiency in progesterone responsiveness. In vitro, Myc overexpression could partially compensate for uterine decidualization failure caused by Mettl3 deficiency. Collectively, this study reveals the role of METTL3-dependent m6A modification in female fertility and provides insight into the pathology of infertility and pregnancy management.
Collapse
Affiliation(s)
- Shuo Wan
- The First Affiliated Hospital, Jinan University, Guangzhou, 510632, China
- The Biomedical Translational Research Institute, Guangzhou Key Laboratory for Germ-free animals and Microbiota Application, Key Laboratory of Ministry of Education for Viral Pathogenesis & Infection Prevention and Control, School of Medicine, Jinan University, Guangzhou, 510632, China
- Key Laboratory of Regenerative Medicine of the Ministry of Education, International Joint Laboratory for Embryonic Development and Prenatal Medicine, Department of Histology and Embryology, School of Medicine, Jinan University, Guangzhou, 510632, China
| | - Yadong Sun
- The Biomedical Translational Research Institute, Guangzhou Key Laboratory for Germ-free animals and Microbiota Application, Key Laboratory of Ministry of Education for Viral Pathogenesis & Infection Prevention and Control, School of Medicine, Jinan University, Guangzhou, 510632, China
| | - Jinbao Zong
- Clinical Laboratory and Central Laboratory, the Affiliated Qingdao Hiser Hospital of Qingdao University, Qingdao, 266033, China
| | - Wanqing Meng
- The Biomedical Translational Research Institute, Guangzhou Key Laboratory for Germ-free animals and Microbiota Application, Key Laboratory of Ministry of Education for Viral Pathogenesis & Infection Prevention and Control, School of Medicine, Jinan University, Guangzhou, 510632, China
| | - Jiacong Yan
- Reproductive Medical Center, The First People's Hospital of Yunnan Province, Kunming, 650021, China
| | - Kexin Chen
- Reproductive Medical Center, The First People's Hospital of Yunnan Province, Kunming, 650021, China
| | - Sanfeng Wang
- Guangdong Women and Children Hospital, Guangzhou, 510010, China
| | - Daji Guo
- Department of Neurology, Sun Yat-sen Memorial Hospital, 510123, Guangzhou, China
| | - Zhiqiang Xiao
- The Biomedical Translational Research Institute, Guangzhou Key Laboratory for Germ-free animals and Microbiota Application, Key Laboratory of Ministry of Education for Viral Pathogenesis & Infection Prevention and Control, School of Medicine, Jinan University, Guangzhou, 510632, China
| | - Qinghua Zhou
- The Biomedical Translational Research Institute, Guangzhou Key Laboratory for Germ-free animals and Microbiota Application, Key Laboratory of Ministry of Education for Viral Pathogenesis & Infection Prevention and Control, School of Medicine, Jinan University, Guangzhou, 510632, China
- Guangdong Provincial Key Laboratory of Tumor Interventional Diagnosis and Treatment, Zhuhai Institute of Translational Medicine, Zhuhai People's Hospital Affiliated with Jinan University, Jinan University, Zhuhai, 519000, China
| | - Zhinan Yin
- The Biomedical Translational Research Institute, Guangzhou Key Laboratory for Germ-free animals and Microbiota Application, Key Laboratory of Ministry of Education for Viral Pathogenesis & Infection Prevention and Control, School of Medicine, Jinan University, Guangzhou, 510632, China.
- Guangdong Provincial Key Laboratory of Tumor Interventional Diagnosis and Treatment, Zhuhai Institute of Translational Medicine, Zhuhai People's Hospital Affiliated with Jinan University, Jinan University, Zhuhai, 519000, China.
| | - Meixiang Yang
- The First Affiliated Hospital, Jinan University, Guangzhou, 510632, China.
- The Biomedical Translational Research Institute, Guangzhou Key Laboratory for Germ-free animals and Microbiota Application, Key Laboratory of Ministry of Education for Viral Pathogenesis & Infection Prevention and Control, School of Medicine, Jinan University, Guangzhou, 510632, China.
- Guangdong Provincial Key Laboratory of Tumor Interventional Diagnosis and Treatment, Zhuhai Institute of Translational Medicine, Zhuhai People's Hospital Affiliated with Jinan University, Jinan University, Zhuhai, 519000, China.
| |
Collapse
|
7
|
Association between Genetic Variants of CELSR2-PSRC1-SORT1 and Cardiovascular Diseases: A Systematic Review and Meta-Analysis. J Cardiovasc Dev Dis 2023; 10:jcdd10030091. [PMID: 36975855 PMCID: PMC10056735 DOI: 10.3390/jcdd10030091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2022] [Revised: 02/11/2023] [Accepted: 02/15/2023] [Indexed: 02/24/2023] Open
Abstract
A cluster of three genes CELSR2, PSRC1, and SORT1 has been associated with cardiovascular diseases. Thus, the aim of this study was (i) to perform a systematic review and updated meta-analysis of the association of three polymorphisms (rs646776, rs599839, and rs464218) of this cluster with cardiovascular diseases, and (ii) to explore by PheWAS signals of the three SNPs in cardiovascular diseases and to evaluate the effect of rs599839 with tissue expression by in silico tools. Three electronic databases were searched to identify eligible studies. The meta-analysis showed that the rs599839 (allelic OR 1.19, 95% CI 1.13–1.26, dominant OR 1.22, 95% CI 1.06–1.39, recessive OR 1.23, 95% CI 1.15–1.32), rs646776 (allelic OR 1.46, 95% CI 1.17–1.82) polymorphisms showed an increased risk for cardiovascular diseases. PheWas analysis showed associations with coronary artery disease and total cholesterol. Our results suggest a possible involvement of the CELSR2-PSRC1-SORT1 cluster variants in the risk association of cardiovascular diseases, particularly coronary artery disease.
Collapse
|
8
|
Mishra G, Meena RK, Kant R, Pandey S, Ginwal HS, Bhandari MS. Genome-wide characterization leading to simple sequence repeat (SSR) markers development in Shorea robusta. Funct Integr Genomics 2023; 23:51. [PMID: 36707443 PMCID: PMC9883139 DOI: 10.1007/s10142-023-00975-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 01/18/2023] [Accepted: 01/19/2023] [Indexed: 01/29/2023]
Abstract
Tropical rainforests in Southeast Asia are enriched by multifarious biota dominated by Dipterocarpaceae. In this family, Shorea robusta is an ecologically sensitive and economically important timber species whose genomic diversity and phylogeny remain understudied due to lack of datasets on genetic resources. Smattering availability of molecular markers impedes population genetic studies indicating a necessity to develop genomic databases and species-specific markers in S. robusta. Accordingly, the present study focused on fostering de novo low-depth genome sequencing, identification of reliable microsatellites markers, and their validation in various populations of S. robusta in Uttarakhand Himalayas. With 69.88 million raw reads assembled into 1,97,489 contigs (read mapped to 93.2%) and a genome size of 357.11 Mb (29 × coverage), Illumina paired-end sequencing technology arranged a library of sequence data of ~ 10 gigabases (Gb). From 57,702 microsatellite repeats, a total of 35,049 simple sequence repeat (SSR) primer pairs were developed. Afterward, among randomly selected 60 primer pairs, 50 showed successful amplification and 24 were found as polymorphic. Out of which, nine polymorphic loci were further used for genetic analysis in 16 genotypes each from three different geographical locations of Uttarakhand (India). Prominently, the average number of alleles per locus (Na), observed heterozygosity (Ho), expected heterozygosity (He), and the polymorphism information content (PIC) were recorded as 2.44, 0.324, 0.277 and 0.252, respectively. The accessibility of sequence information and novel SSR markers potentially enriches the current knowledge of the genomic background for S. robusta and to be utilized in various genetic studies in species under tribe Shoreae.
Collapse
Affiliation(s)
- Garima Mishra
- Division of Genetics & Tree Improvement, Forest Research Institute, Dehradun - 248 195, Uttarakhand Dehradun, India
| | - Rajendra K. Meena
- Division of Genetics & Tree Improvement, Forest Research Institute, Dehradun - 248 195, Uttarakhand Dehradun, India
| | - Rama Kant
- Division of Genetics & Tree Improvement, Forest Research Institute, Dehradun - 248 195, Uttarakhand Dehradun, India
| | - Shailesh Pandey
- Forest Pathology Discipline, Division of Forest Protection, Forest Research Institute, Dehradun - 248 006, Uttarakhand Dehradun, India
| | - Harish S. Ginwal
- Division of Genetics & Tree Improvement, Forest Research Institute, Dehradun - 248 195, Uttarakhand Dehradun, India
| | - Maneesh S. Bhandari
- Division of Genetics & Tree Improvement, Forest Research Institute, Dehradun - 248 195, Uttarakhand Dehradun, India
| |
Collapse
|
9
|
Hong Y, Limback D, Elsarraj HS, Harper H, Haines H, Hansford H, Ricci M, Kaufman C, Wedlock E, Xu M, Zhang J, May L, Cusick T, Inciardi M, Redick M, Gatewood J, Winblad O, Aripoli A, Huppe A, Balanoff C, Wagner JL, Amin AL, Larson KE, Ricci L, Tawfik O, Razek H, Meierotto RO, Madan R, Godwin AK, Thompson J, Hilsenbeck SG, Futreal A, Thompson A, Hwang ES, Fan F, Behbod F. Mouse-INtraDuctal (MIND): an in vivo model for studying the underlying mechanisms of DCIS malignancy. J Pathol 2022; 256:186-201. [PMID: 34714554 PMCID: PMC8738143 DOI: 10.1002/path.5820] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Revised: 09/05/2021] [Accepted: 10/25/2021] [Indexed: 11/24/2022]
Abstract
Due to widespread adoption of screening mammography, there has been a significant increase in new diagnoses of ductal carcinoma in situ (DCIS). However, DCIS prognosis remains unclear. To address this gap, we developed an in vivo model, Mouse-INtraDuctal (MIND), in which patient-derived DCIS epithelial cells are injected intraductally and allowed to progress naturally in mice. Similar to human DCIS, the cancer cells formed in situ lesions inside the mouse mammary ducts and mimicked all histologic subtypes including micropapillary, papillary, cribriform, solid, and comedo. Among 37 patient samples injected into 202 xenografts, at median duration of 9 months, 20 samples (54%) injected into 95 xenografts showed in vivo invasive progression, while 17 (46%) samples injected into 107 xenografts remained non-invasive. Among the 20 samples that showed invasive progression, nine samples injected into 54 xenografts exhibited a mixed pattern in which some xenografts showed invasive progression while others remained non-invasive. Among the clinically relevant biomarkers, only elevated progesterone receptor expression in patient DCIS and the extent of in vivo growth in xenografts predicted an invasive outcome. The Tempus XT assay was used on 16 patient DCIS formalin-fixed, paraffin-embedded sections including eight DCISs that showed invasive progression, five DCISs that remained non-invasive, and three DCISs that showed a mixed pattern in the xenografts. Analysis of the frequency of cancer-related pathogenic mutations among the groups showed no significant differences (KW: p > 0.05). There were also no differences in the frequency of high, moderate, or low severity mutations (KW; p > 0.05). These results suggest that genetic changes in the DCIS are not the primary driver for the development of invasive disease. © 2021 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.
Collapse
MESH Headings
- Animals
- Biomarkers, Tumor/genetics
- Biomarkers, Tumor/metabolism
- Breast Neoplasms/genetics
- Breast Neoplasms/metabolism
- Breast Neoplasms/pathology
- Carcinoma, Intraductal, Noninfiltrating/genetics
- Carcinoma, Intraductal, Noninfiltrating/metabolism
- Carcinoma, Intraductal, Noninfiltrating/pathology
- Cell Movement
- Cell Proliferation
- Disease Progression
- Epithelial Cells/metabolism
- Epithelial Cells/pathology
- Epithelial Cells/transplantation
- Female
- Heterografts
- Humans
- Mice, Inbred NOD
- Mice, SCID
- Mutation
- Neoplasm Invasiveness
- Neoplasm Transplantation
- Receptors, Progesterone/metabolism
- Time Factors
- Mice
Collapse
Affiliation(s)
- Yan Hong
- Department of Pathology and Laboratory MedicineThe University of Kansas Medical CenterKansas CityKSUSA
| | - Darlene Limback
- Department of Pathology and Laboratory MedicineThe University of Kansas Medical CenterKansas CityKSUSA
| | - Hanan S Elsarraj
- Department of Pathology and Laboratory MedicineThe University of Kansas Medical CenterKansas CityKSUSA
| | - Haleigh Harper
- University of Kansas School of MedicineThe University of Kansas Medical CenterKansas CityKSUSA
| | - Haley Haines
- Department of Pathology and Laboratory MedicineThe University of Kansas Medical CenterKansas CityKSUSA
| | - Hayley Hansford
- Department of Pathology and Laboratory MedicineThe University of Kansas Medical CenterKansas CityKSUSA
| | - Michael Ricci
- Department of Pathology and Laboratory MedicineThe University of Kansas Medical CenterKansas CityKSUSA
| | - Carolyn Kaufman
- University of Kansas School of MedicineThe University of Kansas Medical CenterKansas CityKSUSA
| | - Emily Wedlock
- Department of Pathology and Laboratory MedicineThe University of Kansas Medical CenterKansas CityKSUSA
| | - Mingchu Xu
- Department of Genomic MedicineThe University of Texas MD Anderson Cancer CenterHoustonTXUSA
| | - Jianhua Zhang
- Department of Genomic MedicineThe University of Texas MD Anderson Cancer CenterHoustonTXUSA
| | - Lisa May
- Department of RadiologyThe University of Kansas School of Medicine‐WichitaWichitaKSUSA
| | - Therese Cusick
- Department of SurgeryThe University of Kansas School of Medicine‐WichitaWichitaKSUSA
| | - Marc Inciardi
- Department of RadiologyThe University of Kansas Medical CenterKansas CityKSUSA
| | - Mark Redick
- Department of RadiologyThe University of Kansas Medical CenterKansas CityKSUSA
| | - Jason Gatewood
- Department of RadiologyThe University of Kansas Medical CenterKansas CityKSUSA
| | - Onalisa Winblad
- Department of RadiologyThe University of Kansas Medical CenterKansas CityKSUSA
| | - Allison Aripoli
- Department of RadiologyThe University of Kansas Medical CenterKansas CityKSUSA
| | - Ashley Huppe
- Department of RadiologyThe University of Kansas Medical CenterKansas CityKSUSA
| | - Christa Balanoff
- Department of General Surgery, Breast Surgical Oncology DivisionThe University of Kansas Medical CenterKansas CityKSUSA
| | - Jamie L Wagner
- Department of General Surgery, Breast Surgical Oncology DivisionThe University of Kansas Medical CenterKansas CityKSUSA
| | - Amanda L Amin
- Department of General Surgery, Breast Surgical Oncology DivisionThe University of Kansas Medical CenterKansas CityKSUSA
| | - Kelsey E Larson
- Department of General Surgery, Breast Surgical Oncology DivisionThe University of Kansas Medical CenterKansas CityKSUSA
| | - Lawrence Ricci
- Department of RadiologyTruman Medical CenterKansas CityMOUSA
| | - Ossama Tawfik
- Department of Pathology, St Luke's Health System of Kansas CityMAWD Pathology GroupKansas CityMOUSA
| | | | - Ruby O Meierotto
- Breast RadiologySaint Luke's Cancer Institute, Saint Luke's Health SystemKansas CityMOUSA
| | - Rashna Madan
- Department of Pathology and Laboratory MedicineThe University of Kansas Medical CenterKansas CityKSUSA
| | - Andrew K Godwin
- Department of Pathology and Laboratory MedicineThe University of Kansas Medical CenterKansas CityKSUSA
| | - Jeffrey Thompson
- Department of BiostatisticsThe University of Kansas Medical CenterKansas CityKSUSA
| | - Susan G Hilsenbeck
- Lester and Sue Smith Breast Center, Biostatistics and Informatics Shared Resources, Duncan Cancer CenterBaylor College of MedicineHoustonTXUSA
| | - Andy Futreal
- Department of Genomic Medicine, Division of Cancer MedicineThe University of Texas MD Anderson Cancer CenterHoustonTXUSA
| | - Alastair Thompson
- Section of Breast SurgeryBaylor College of Medicine, Lester and Sue Smith Breast Center, Dan L Duncan Comprehensive Cancer CenterHoustonTXUSA
| | | | - Fang Fan
- Department of PathologyCity of Hope Medical CenterDuarteCAUSA
| | - Fariba Behbod
- Department of Pathology and Laboratory MedicineThe University of Kansas Medical CenterKansas CityKSUSA
| | | |
Collapse
|
10
|
Wu M, Shi QM, Duan SL, Ou-yang DJ, Chen P, Tu B, Huang P. Insights into the Association Between QSER1 and M2 Macrophages and Remarkable Malignancy Characteristics in Hepatocellular Carcinoma. Int J Gen Med 2022; 15:1765-1775. [PMID: 35210841 PMCID: PMC8863346 DOI: 10.2147/ijgm.s352574] [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: 12/20/2021] [Accepted: 02/08/2022] [Indexed: 11/23/2022] Open
Abstract
Purpose Glutamine and serine rich 1 (QSER1), as a DNA methylation modulator, play a crucial role in transforming tumor cells. Previous studies have shown that QSER1 plays a role in regulating the progression of various malignancies and that QSER1 dysfunction is connected with precancerous lesions of hepatocellular carcinoma (HCC) as well as HCC prognosis. However, little is known about the detailed contribution of QSER1 in HCC. Patients and Methods Various statistical methods such as Kaplan–Meier method, AUC analysis, GSEA, and immune-infiltration analysis were used to evaluate the relationship between QSER1 expression and clinical features, prognostic factors, and potential functional mechanisms of QSER1. Results QSER1 expression was negatively correlated with clinicopathological features (clinical stage, pathological grade, TP53 mutation, lymph node metastasis) and clinical outcome (overall survival versus recurrence). Functional enrichment analysis further suggested that QSER1 is involved in multiple pathways related to DNA replication and tumor immunity. TIMER analysis indicated that high QSER1 expression was significantly associated with higher macrophage infiltration and poorer macrophage-related outcomes. In particular, QSER1 was significantly more associated with M2 macrophages than M1 macrophages. Conclusion Overall, elevated QSER1 is a potential prognostic marker for HCC and is associated with immune infiltration in HCC.
Collapse
Affiliation(s)
- Min Wu
- Department of General Surgery, Xiangya Hospital Central South University, Changsha, Hunan, 410008, People’s Republic of China
| | - Qi-man Shi
- Department of General Surgery, Xiangya Hospital Central South University, Changsha, Hunan, 410008, People’s Republic of China
| | - Sai-Li Duan
- Department of General Surgery, Xiangya Hospital Central South University, Changsha, Hunan, 410008, People’s Republic of China
| | - Deng-jie Ou-yang
- Department of General Surgery, Xiangya Hospital Central South University, Changsha, Hunan, 410008, People’s Republic of China
| | - Pei Chen
- Department of General Surgery, Xiangya Hospital Central South University, Changsha, Hunan, 410008, People’s Republic of China
| | - Biao Tu
- Department of General Surgery, Xiangya Hospital Central South University, Changsha, Hunan, 410008, People’s Republic of China
| | - Peng Huang
- Department of General Surgery, Xiangya Hospital Central South University, Changsha, Hunan, 410008, People’s Republic of China
- Correspondence: Peng Huang, Email
| |
Collapse
|
11
|
Tan J, Che Y, Liu Y, Hu J, Wang W, Hu L, Zhou Q, Wang H, Li J. CELSR2 deficiency suppresses lipid accumulation in hepatocyte by impairing the UPR and elevating ROS level. FASEB J 2021; 35:e21908. [PMID: 34478580 DOI: 10.1096/fj.202100786rr] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Revised: 08/21/2021] [Accepted: 08/24/2021] [Indexed: 01/06/2023]
Abstract
Cadherin EGF LAG seven-pass G-type receptor 2 (CELSR2), a mammalian orthologue of drosophila flamingo, belongs to the cadherin subfamily. CELSR2 mainly function in neural development and cilium polarity. Recent studies showed that the CELSR2 gene is related to many human diseases, including coronary artery disease, idiopathic scoliosis, and cancer. Genome-Wide Association Studies data showed that SNP in the CELSR2-PSRC1-SORT1 gene loci has a strong association with circulating lipid levels and coronary artery disease. However, the function and underlying mechanism of CELSR2 in hepatic lipid metabolism remain unknown. Here, we found that CELSR2 expression is decreased in the liver of NAFLD/NASH patients and db/db mice. Depletion of CELSR2 significantly decreased the lipid accumulation in hepatocytes by suppressing the expression of lipid synthesis enzymes. Moreover, CELSR2 deficiency impaired the physiological unfolded protein response (UPR), which damages the ER homeostasis, and elevates the reactive oxygen species (ROS) level by decreasing the antioxidant expression. Scavenging of ROS by N-acetylcysteine treatment could restore the decreased lipid accumulation of CELSR2 knockdown cells. Furthermore, CELSR2 loss impaired cell survival by suppressing cell proliferation and promoting apoptosis. Our results uncovered a new role of CELSR2 in regulating lipid homeostasis and UPR, suggesting CELSR2 may be a new therapeutic target for non-alcoholic fatty liver disease.
Collapse
Affiliation(s)
- Junyang Tan
- Zhuhai Institute of Translational Medicine Zhuhai People's Hospital Affiliated with Jinan University, Jinan University, Zhuhai, China.,The Biomedical Translational Research Institute, Faculty of Medical Science, Jinan University, Guangzhou, China
| | - Yaping Che
- The Biomedical Translational Research Institute, Faculty of Medical Science, Jinan University, Guangzhou, China
| | - Yanyan Liu
- The Biomedical Translational Research Institute, Faculty of Medical Science, Jinan University, Guangzhou, China
| | - Jiaqiao Hu
- The Biomedical Translational Research Institute, Faculty of Medical Science, Jinan University, Guangzhou, China
| | - Wenjun Wang
- Zhuhai Institute of Translational Medicine Zhuhai People's Hospital Affiliated with Jinan University, Jinan University, Zhuhai, China.,The Biomedical Translational Research Institute, Faculty of Medical Science, Jinan University, Guangzhou, China.,The First Affiliated Hospital, Jinan University, Guangzhou, China
| | - Liubing Hu
- The Biomedical Translational Research Institute, Faculty of Medical Science, Jinan University, Guangzhou, China
| | - Qinghua Zhou
- Zhuhai Institute of Translational Medicine Zhuhai People's Hospital Affiliated with Jinan University, Jinan University, Zhuhai, China.,The Biomedical Translational Research Institute, Faculty of Medical Science, Jinan University, Guangzhou, China.,The First Affiliated Hospital, Jinan University, Guangzhou, China
| | - Hao Wang
- The First Affiliated Hospital, Jinan University, Guangzhou, China
| | - Jianshuang Li
- Zhuhai Institute of Translational Medicine Zhuhai People's Hospital Affiliated with Jinan University, Jinan University, Zhuhai, China.,The Biomedical Translational Research Institute, Faculty of Medical Science, Jinan University, Guangzhou, China
| |
Collapse
|
12
|
Dabral A, Shamoon A, Meena RK, Kant R, Pandey S, Ginwal HS, Bhandari MS. Genome skimming-based simple sequence repeat (SSR) marker discovery and characterization in Grevillea robusta. PHYSIOLOGY AND MOLECULAR BIOLOGY OF PLANTS : AN INTERNATIONAL JOURNAL OF FUNCTIONAL PLANT BIOLOGY 2021; 27:1623-1638. [PMID: 34305342 PMCID: PMC8285676 DOI: 10.1007/s12298-021-01035-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Revised: 07/01/2021] [Accepted: 07/06/2021] [Indexed: 06/13/2023]
Abstract
Proteaceae, a largely southern hemisphere family consisting of 80 genera distributed in Australia and southern Africa as its centres of greatest diversity, also extends well in northern and southern America. Under this family, Grevillea robusta is a fast-growing species got popularity in farm and avenue plantations. Despite the ecological and economic importance, the species has not yet been investigated for its genetic improvement and genome-based studies. Only a few molecular markers are available for the species or its close relatives, which hinders genomic and population genetics studies. Genetic markers have been intensively applied for the main strategies in breeding programs, especially for the economically important traits. Hence, it is of utmost priority to develop genomic database resources and species-specific markers for studying quantitative genetics in G. robusta. Given this, the present study aimed to develop de novo genome sequencing, robust microsatellites markers, sequence annotation and their validation in different stands of G. robusta in northern India. Library preparation and sequencing were carried out using Illumina paired-end sequencing technology. Approximately, ten gigabases (Gb) sequence data with 70.87 million raw reads assembled into 425,923 contigs (read mapped to 76.48%) comprising 455 Mb genome size (23 × coverage) generated through genome skimming approach. In total, 9421 simple sequence repeat (SSR) primer pairs were successfully designed from 13,335 microsatellite repeats. Afterward, a subset of 161 primer pairs was randomly selected, synthesized and validated. All the tested primers showed successful amplification but only 13 showed polymorphisms. The polymorphic SSRs were further used to estimate the measures of genetic diversity in 12 genotypes each from the states of Punjab, Haryana, Himachal Pradesh and Uttarakhand. Importantly, the average number of alleles (Na), observed heterozygosity (Ho), expected heterozygosity (He), and the polymorphism information content (PIC) were recorded as 2.69, 0.356, 0.557 and 0.388, respectively. The availability of sequence information and newly developed SSR markers could potentially be used in various genetic analyses and improvements through molecular breeding strategies for G. robusta. SUPPLEMENTARY INFORMATION The online version contains supplementary material available at 10.1007/s12298-021-01035-w.
Collapse
Affiliation(s)
- Aman Dabral
- Division of Genetics & Tree Improvement, Forest Research Institute, Dehradun, Uttarakhand 248 195 India
| | - Arzoo Shamoon
- Division of Genetics & Tree Improvement, Forest Research Institute, Dehradun, Uttarakhand 248 195 India
| | - Rajendra K. Meena
- Division of Genetics & Tree Improvement, Forest Research Institute, Dehradun, Uttarakhand 248 195 India
| | - Rama Kant
- Division of Genetics & Tree Improvement, Forest Research Institute, Dehradun, Uttarakhand 248 195 India
| | - Shailesh Pandey
- Forest Pathology Discipline, Division of Forest Protection, Forest Research Institute, Dehradun, Uttarakhand 248 006 India
| | - Harish S. Ginwal
- Division of Genetics & Tree Improvement, Forest Research Institute, Dehradun, Uttarakhand 248 195 India
| | - Maneesh S. Bhandari
- Division of Genetics & Tree Improvement, Forest Research Institute, Dehradun, Uttarakhand 248 195 India
| |
Collapse
|
13
|
Zhang Y, Di X, Chen G, Liu J, Zhang B, Feng L, Cheng S, Wang Y. An immune-related signature that to improve prognosis prediction of breast cancer. Am J Cancer Res 2021; 11:1267-1285. [PMID: 33948357 PMCID: PMC8085862] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Accepted: 02/04/2021] [Indexed: 06/12/2023] Open
Abstract
Although the classic molecular subtype of breast cancer (BRCA) has been widely used in clinical diagnosis, as a highly heterogeneous malignant tumor, the classic scheme is not enough to accurately predict the prognosis of breast cancer patients. Immune cells in the tumor microenvironment (TME) are thought to play a paramount role in tumor development and driving poor prognosis. In this study, we aimed to develop a TME-associated, immune-related signature to improve prognosis prediction of BRCA. BRCA_OURS enriched transcriptomic RNA sequencing (RNA-seq) of tumor tissue was acquired from 43 breast cancer patients before any treatment. On the immune gene profiles of 43 patients from BRCA_OURS and 932 BRCA patients from The Cancer Genome Atlas (TCGA), we identified a robust immune-related signature including one positive coefficients gene (IL-10) and other 9 genes (C14orf79, C1orf168, C1orf226, CELSR2, FABP7, FGFBP1, KLRB1, PLEKHO1, and RAC2), of which the negative coefficients suggesting higher expression were correlated with better prognosis. Based on the expression of these genes, patients were grouped into the high- and low-risk group with significant overall survival (OS) (P<0.0001). The high-risk group was likely to have inferior outcomes related to several important cancer-associated pathways, including mobilizing more Golgi vesicle-mediated transport and intensive DNA double-strand breaking, which are closely related to the infiltration of immune cells and holds the key for further growing and metastasizing. Collectively, our results highlight that the immunological value within BRCA is an essential determinant of prognostic factor. Our signature may provide an effective risk stratification tool for clinical prognosis assessment of patients with BRCA.
Collapse
Affiliation(s)
- Yi Zhang
- State Key Laboratory of Molecular Oncology, Department of Etiology and Carcinogenesis, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100021, China
| | - Xuebing Di
- State Key Laboratory of Molecular Oncology, Department of Etiology and Carcinogenesis, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100021, China
| | - Guoji Chen
- Department of Breast Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100021, China
| | - Jiaqi Liu
- Department of Breast Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100021, China
| | - Bailin Zhang
- Department of Breast Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100021, China
| | - Lin Feng
- State Key Laboratory of Molecular Oncology, Department of Etiology and Carcinogenesis, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100021, China
| | - Shujun Cheng
- State Key Laboratory of Molecular Oncology, Department of Etiology and Carcinogenesis, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100021, China
| | - Yipeng Wang
- Department of Breast Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100021, China
| |
Collapse
|