Targeting MET Dysregulation in Cancer

Total Page:16

File Type:pdf, Size:1020Kb

Targeting MET Dysregulation in Cancer Published OnlineFirst June 12, 2020; DOI: 10.1158/2159-8290.CD-19-1446 MINI REVIEW Targeting MET Dysregulation in Cancer Gonzalo Recondo 1 , Jianwei Che 2 , 3 , Pasi A. Jänne 1 , 4 , and Mark M. Awad 1 ABSTRACT Aberrant MET signaling can drive tumorigenesis in several cancer types through a variety of molecular mechanisms including MET gene amplifi cation, mutation, rear- rangement, and overexpression. Improvements in biomarker discovery and testing have more recently enabled the selection of patients with MET-dependent cancers for treatment with potent, specifi c, and novel MET-targeting therapies. We review the known oncologic processes that activate MET, discuss therapeutic strategies for MET-dependent malignancies, and highlight emerging challenges in acquired drug resistance in these cancers. signifi cance: Increasing evidence supports the use of MET-targeting therapies in biomarker-selected cancers that harbor molecular alterations in MET. Diverse mechanisms of resistance to MET inhibitors will require the development of novel strategies to delay and overcome drug resistance. INTRODUCTION as plexin–semaphorin–integrin (PSI) and the Ig-like, plexins, transcription factors (IPT) domains ( 9 ). Upon ligand binding, The MET proto-oncogene encodes the tyrosine kinase MET homodimerization results in the phosphorylation of key receptor of HGF and regulates embryogenesis, wound heal- intracellular tyrosine residues at positions Y1234/35 within ing, liver regeneration, angiogenesis, and immunomodula- the kinase domain and Y1349/56 in the docking site ( 10 ). tion, among other physiologic processes ( 1–5 ). In cancer, These events directly recruit downstream effectors including aberrant MET oncogenic signaling has been known to play a the SRC proto-oncogene and STAT3, as well as adaptor pro- role in promoting tumor invasion, angiogenesis, and metas- teins like the growth factor receptor–bound protein 2 (GRB2) tasis; however, the initial development of targeted thera- and SHC, leading to downstream activation of the MAPK pies against MET in unselected patient populations and and PI3K–AKT–mTOR pathways which promote cell migra- across different tumor types did not translate into improved tion, proliferation, and survival ( 9, 11 ). MET protein receptor clinical outcomes ( 1, 6–8 ). More recently, advances in the stability and degradation are regulated by the intracellular identifi cation of new biomarkers of MET dysregulation in juxtamembrane domain which is encoded in part by MET cancer have renewed immense interest in identifying MET- exon 14 and contains the tyrosine Y1003 residue that, when dependent malignancies and in developing effective treat- phosphorylated, serves as the binding site for the casitas B-lin- ment options. eage lymphoma (CBL) E3 ubiquitin ligase ( 12 ). CBL-mediated MET is a single-pass transmembrane receptor composed ubiquitination results in receptor internalization from the cell of an extracellular domain, transmembrane and juxtamem- membrane to endocytic vesicles and subsequent proteasomal brane domains, and a tyrosine kinase domain (TKD). The degradation ( 13, 14 ). Exon 14 in MET is 141 nucleotides long, extracellular portion of MET is the binding site for its ligand, spanning from nucleotides c.2888 to c.3028, corresponding HGF, and contains a semaphorin (SEMA) domain, as well to amino acids p.D963 to p.D1010 (NM_000245.2, variant 2). Of note, in an alternative splice isoform of MET which is 54 nucleotides longer (NM_001127500.2 Variant 1), exon 14 spans from nucleotides c.2942 to c.3082, corresponding to 1 Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts. 2 Department of Cancer amino acids p.D981 to p.D1028. This alternative numbering Biology, Dana-Farber Cancer Institute, Boston, Massachusetts. 3 Depart- of nucleotides and amino acids has led to some confusion in ment of Biological Chemistry and Molecular Pharmacology, Harvard Medi- the literature. In this review, we will primarily use the shorter cal School, Boston, Massachusetts. 4 Belfer Center for Applied Cancer isoform (variant 2) when referring to MET sequences but will Science, Dana-Farber Cancer Institute, Boston, Massachusetts. indicate the corresponding sequence variant of the longer Corresponding Authors: Mark M. Awad, Dana-Farber Cancer Institute and isoform (variant 1). Harvard Medical School, 450 Brookline Avenue, Boston, MA 02215. Phone: 617-632-3468; Fax: 617-632-5786; E-mail: [email protected]. The oncogenic role of MET was fi rst described with the edu ; and Pasi A. Jänne, Lowe Center for Thoracic Oncology, Dana-Farber discovery of the TPR–MET genomic rearrangement induced Cancer Institute, 450 Brookline Avenue, Boston, MA 02215. Phone: 617- by the exposure of a nontumorigenic human osteogenic 632-6053; E-mail: [email protected] sarcoma cell line to the carcinogen N-methyl-N′-nitro-N- Cancer Discov 2020;10:922–34 nitrosoguanidine ( 15 ). Since then, across diverse tumor types, doi: 10.1158/2159-8290.CD-19-1446 multiple biological alterations in MET have been discovered ©2020 American Association for Cancer Research. including exon 14 skipping mutations, activating mutations 922 | CANCER DISCOVERY JULY 2020 AACRJournals.org Downloaded from cancerdiscovery.aacrjournals.org on September 26, 2021. © 2020 American Association for Cancer Research. Published OnlineFirst June 12, 2020; DOI: 10.1158/2159-8290.CD-19-1446 MET in Cancer MINI REVIEW ABMET MET MET kinase CDMET MET physiologic signaling exon 14 skipping domain mutations amplification fusions HGF Mutations P V1070E/R Fusion P P V1092I partners CBL binds to the Loss of H1094Y/R/L TPR juxtamembrane juxtamembrane H1124D HLA–DRB1 domain U U P P domain PP P P P P M1149T KIF5B PTPRZ1 U L1195F/V P P P U P P P P P STARD3NL F1200I P P Y1220I ST7 MET ubiquitination Impaired degradation D1228H/N and degradation Y1230C/D/H Extended signaling Increased MET expression and S1236R oncogenic signaling L1250T V1260L MET exon mRNA Exon 13 Exon 15 V1268T/I MET focal Chromosome 7 14 skipping amplification polysomy or copy-number gain Ligand-independent Constitutive kinase dimerization and Point mutations and deletions Exon 14 MET:CEP7 MET:CEP7 domain activation kinase activation in splicing regulatory sites ratio high ≠ ratio low Pre mRNA Exon 13 Exon 14 Exon 15 Downstream Downstream Intron 13 Intron 14 signaling signaling c.2888 c.3028 Figure 1. Mechanisms of MET oncogenic activation. A, MET activation is initiated after ligand binding of the HGF to the SEMA domain to the extracel- lular portion of the MET receptor, inducing receptor dimerization and phosphorylation of the intracellular domain leading to downstream signaling of several pathways. The E3 ubiquitin ligase CBL binds to reside Y1003 in the juxtamembrane domain (encoded in part by exon 14), resulting in receptor ubiquitination and degradation. MET exon 14 alterations including mutations or deletions in splicing regulatory sites, leading to exon skipping, deletion of a portion of the juxtamembrane domain, impaired CBL binding, decreased MET turnover, and ongoing oncogenic downstream pathway signaling. B, Point mutations in the TKD result in ligand-independent MET activation through autophosphorylation of the TKD, conveying sustained oncogenic downstream pathway signaling. C, Focal MET amplification leads to higher levels ofMET transcription and MET expression. MET amplification (high MET:CEP7 ratio) differs from chromosome 7 polysomy or copy-number gain in which the entire chromosome is duplicated (low MET:CEP7 ratio). Focal MET amplification, and consequently high MET expression, leads to enhanced ligand-independent oncogenic signaling by receptor autodimerization or oligomerization and autophosphorylation. D, Gene rearrangements involving the MET TKD result in fusion proteins that typically self-dimerize in a ligand-independent man- ner, leading to phosphorylation of the TKD. in the kinase domain, gene amplification, and protein overex- half-life of the MET receptor (Fig. 1A; ref. 18). As has been pression. Recognition and detection of these MET biomarkers described in some hereditary syndromes, point mutations in have fueled the clinical development of MET tyrosine kinase the last nucleotide of an exon often result in exon skipping inhibitors (TKI), antibodies, and antibody–drug conjugates (19), and point mutations in the last nucleotide of MET exon (ADC) aimed at targeting MET or its interactions with HGF 14 (c.3028 = c.3082; D1010X = D1028X in the shorter and or other binding partners. longer isoforms of MET, respectively) also tend to cause exon 14 skipping. Additional point mutations causing amino acid substitution of the Y1003 residue (= Y1021), such as Y1003C MOLECULAR MECHANISMS OF MET or Y1003F, are predicted to cause a similar biological effect ACTIVATION IN CANCER through loss of the CBL-binding site without causing exon 14 skipping (20). MET Exon 14 Alterations Splice-site and Y1003X mutations differ from other Approximately 3% of advanced non–small cell lung cancers mutations within exon 14, like T992I (= T1010I). The (NSCLC) harbor point mutations or deletions in MET exon oncogenic potential of this variant is controversial, as some 14 or its flanking introns which affect splicing sequences preclinical studies suggest that it imparts greater tumor including 5′- and 3′-splice sites, the branch-point adenosine, growth and invasion potential, whereas others report a or the polypyrimidine tract (12, 16, 17). These alterations lack of transforming
Recommended publications
  • The Genetic Architecture of Carbon Tetrachloride-Induced Liver Fibrosis in Mice
    UCLA UCLA Previously Published Works Title The Genetic Architecture of Carbon Tetrachloride-Induced Liver Fibrosis in Mice. Permalink https://escholarship.org/uc/item/40w5d3f6 Journal Cellular and molecular gastroenterology and hepatology, 11(1) ISSN 2352-345X Authors Tuominen, Iina Fuqua, Brie K Pan, Calvin et al. Publication Date 2021 DOI 10.1016/j.jcmgh.2020.08.010 Peer reviewed eScholarship.org Powered by the California Digital Library University of California ORIGINAL RESEARCH The Genetic Architecture of Carbon Tetrachloride-Induced Liver Fibrosis in Mice Iina Tuominen,1,a Brie K. Fuqua,2,a Calvin Pan,2 Nicole Renaud,3 Kevin Wroblewski,1 Mete Civelek,2 Kara Clerkin,1 Ashot Asaryan,1 Sara G. Haroutunian,1 Joseph Loureiro,3 Jason Borawski,3 Guglielmo Roma,4 Judith Knehr,4 Walter Carbone,4 Samuel French,5 Brian W. Parks,2 Simon T. Hui,2 Margarete Mehrabian,2 Clara Magyar,5 Rita M. Cantor,6 Chinweike Ukomadu,3 Aldons J. Lusis,2 and Simon W. Beaven1 1Department of Medicine, Vatche and Tamar Manoukian Division of Digestive Diseases at UCLA and Pfleger Liver Institute, David Geffen School of Medicine at UCLA, Los Angeles, California; 2Departments of Medicine, Microbiology and Human Genetics, David Geffen School of Medicine at UCLA, Los Angeles, California; 3Novartis Institutes for Biomedical Research, Cambridge, Massachusetts; 4Novartis Pharma AG, Basel, Switzerland; 5Department of Pathology and Laboratory Medicine, David Geffen School of Medicine at UCLA, Los Angeles, California; and 6Department of Human Genetics, David Geffen School of Medicine at UCLA, Los Angeles, California 1234100 Strain ….. GWAS Fibrosis ….. Correlation Transcripts Modeling SUMMARY were euthanized for liver histology and gene expression.
    [Show full text]
  • A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
    Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated.
    [Show full text]
  • Identification of Microrna As Sepsis Biomarker Based on Mirnas Regulatory Network Analysis
    Hindawi Publishing Corporation BioMed Research International Volume 2014, Article ID 594350, 12 pages http://dx.doi.org/10.1155/2014/594350 Research Article Identification of MicroRNA as Sepsis Biomarker Based on miRNAs Regulatory Network Analysis Jie Huang,1 Zhandong Sun,1,2 Wenying Yan,2,3,4 Yujie Zhu,2 Yuxin Lin,2 Jiajai Chen,2,4 Bairong Shen,2 and Jian Wang1 1 SystemsSepsisBiologyTeam,SoochowUniversityAffiliatedChildren’sHospital,Suzhou215003,China 2 Center for Systems Biology, Soochow University, Suzhou 215006, China 3 Suzhou Zhengxing Translational Biomedical Informatics Ltd., Taicang 215400, China 4 Taicang Center for Translational Bioinformatics, Taicang 215400, China Correspondence should be addressed to Jian Wang; wangjian [email protected] Received 17 January 2014; Accepted 3 March 2014; Published 6 April 2014 Academic Editor: Junfeng Xia Copyright © 2014 Jie Huang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Sepsis is regarded as arising from an unusual systemic response to infection but the physiopathology of sepsis remains elusive. At present, sepsis is still a fatal condition with delayed diagnosis and a poor outcome. Many biomarkers have been reported in clinical application for patients with sepsis, and claimed to improve the diagnosis and treatment. Because of the difficulty in the interpreting of clinical features of sepsis, some biomarkers do not show high sensitivity and specificity. MicroRNAs (miRNAs) are small noncoding RNAs which pair the sites in mRNAs to regulate gene expression in eukaryotes. They play a key role in inflammatory response, and have been validated to be potential sepsis biomarker recently.
    [Show full text]
  • Functional Characterization of the New 8Q21 Asthma Risk Locus
    Functional characterization of the new 8q21 Asthma risk locus Cristina M T Vicente B.Sc, M.Sc A thesis submitted for the degree of Doctor of Philosophy at The University of Queensland in 2017 Faculty of Medicine Abstract Genome wide association studies (GWAS) provide a powerful tool to identify genetic variants associated with asthma risk. However, the target genes for many allergy risk variants discovered to date are unknown. In a recent GWAS, Ferreira et al. identified a new association between asthma risk and common variants located on chromosome 8q21. The overarching aim of this thesis was to elucidate the biological mechanisms underlying this association. Specifically, the goals of this study were to identify the gene(s) underlying the observed association and to study their contribution to asthma pathophysiology. Using genetic data from the 1000 Genomes Project, we first identified 118 variants in linkage disequilibrium (LD; r2>0.6) with the sentinel allergy risk SNP (rs7009110) on chromosome 8q21. Of these, 35 were found to overlap one of four Putative Regulatory Elements (PREs) identified in this region in a lymphoblastoid cell line (LCL), based on epigenetic marks measured by the ENCODE project. Results from analysis of gene expression data generated for LCLs (n=373) by the Geuvadis consortium indicated that rs7009110 is associated with the expression of only one nearby gene: PAG1 - located 732 kb away. PAG1 encodes a transmembrane adaptor protein localized to lipid rafts, which is highly expressed in immune cells. Results from chromosome conformation capture (3C) experiments showed that PREs in the region of association physically interacted with the promoter of PAG1.
    [Show full text]
  • Investigating Host Genes Involved In. HIY Control by a Novel Computational Method to Combine GWAS with Eqtl
    Investigating Host Genes Involved in. HIY Control by a Novel Computational Method to Combine GWAS with eQTL by Yi Song THESIS Submitted In partial satisfaction of me teqoitements for the degree of MASTER OF SCIENCE In Biological and Medical Informatics In the GRADUATE DIVISION Copyright (2012) by Yi Song ii Acknowledgement First and foremost, I would like to thank my advisor Professor Hao Li, without whom this thesis would not have been possible. I am very grateful that Professor Li lead me into the field of human genomics and gave me the opportunity to pursue this interesting study in his laboratory. Besides the wealth of knowledge and invaluable insights that he offered in every meeting we had, Professor Li is one of the most approachable faculties I have met. I truly appreciate his patient guidance and his enthusiastic supervision throughout my master’s career. I am sincerely thankful to Professor Patricia Babbitt, the Associate Director of the Biomedical Informatics program at UCSF. Over my two years at UCSF, she has always been there to offer her help when I was faced with difficulties. I would also like to thank both Professor Babbitt and Professor Nevan Krogan for investing their valuable time in evaluating my work. I take immense pleasure in thanking my co-workers Dr. Xin He and Christopher Fuller. It has been a true enjoyment to discuss science with Dr. He, whose enthusiasm is a great inspiration to me. I also appreciate his careful editing of my thesis. Christopher Fuller, a PhD candidate in the Biomedical Informatics program, has provided great help for me on technical problems.
    [Show full text]
  • Genome-Scale Capture C Promoter Interactions Implicate Effector Genes at GWAS Loci for Bone Mineral Density
    ARTICLE https://doi.org/10.1038/s41467-019-09302-x OPEN Genome-scale Capture C promoter interactions implicate effector genes at GWAS loci for bone mineral density Alessandra Chesi1, Yadav Wagley2, Matthew E. Johnson1, Elisabetta Manduchi1,3, Chun Su1, Sumei Lu1, Michelle E. Leonard1, Kenyaita M. Hodge1, James A. Pippin 1, Kurt D. Hankenson 2, Andrew D. Wells1,4 & Struan F.A. Grant 1,5,6 1234567890():,; Osteoporosis is a devastating disease with an essential genetic component. GWAS have discovered genetic signals robustly associated with bone mineral density (BMD), but not the precise localization of effector genes. Here, we carry out physical and direct variant to gene mapping in human mesenchymal progenitor cell-derived osteoblasts employing a massively parallel, high resolution Capture C based method in order to simultaneously characterize the genome-wide interactions of all human promoters. By intersecting our Capture C and ATAC- seq data, we observe consistent contacts between candidate causal variants and putative target gene promoters in open chromatin for ~ 17% of the 273 BMD loci investigated. Knockdown of two novel implicated genes, ING3 at ‘CPED1-WNT16’ and EPDR1 at ‘STARD3NL’, inhibits osteoblastogenesis, while promoting adipogenesis. This approach therefore aids target discovery in osteoporosis, here on the example of two relevant genes involved in the fate determination of mesenchymal progenitors, and can be applied to other common genetic diseases. 1 Center for Spatial and Functional Genomics, Children’s Hospital of Philadelphia, Philadelphia 19104 PA, USA. 2 Department of Orthopaedic Surgery, University of Michigan Medical School, Ann Arbor 48109 MI, USA. 3 Institute for Biomedical Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia 19104 PA, USA.
    [Show full text]
  • Cytogenetics
    Atlas of Genetics and Cytogenetics in Oncology and Haematology OPEN ACCESS JOURNAL AT INIST-CNRS Scope The Atlas of Genetics and Cytogenetics in Oncology and Haematology is a peer reviewed on-line journal in open access, devoted to genes, cytogenetics, and clinical entities in cancer, and cancer-prone diseases. It presents structured review articles ("cards") on genes, leukaemias, solid tumours, cancer-prone diseases, more traditional review articles on these and also on surrounding topics ("deep insights"), case reports in hematology, and educational items in the various related topics for students in Medicine and in Sciences. Editorial correspondance Jean-Loup Huret Genetics, Department of Medical Information, University Hospital F-86021 Poitiers, France tel +33 5 49 44 45 46 or +33 5 49 45 47 67 [email protected] or [email protected] Staff Mohammad Ahmad, Mélanie Arsaban, Houa Delabrousse, Marie-Christine Jacquemot-Perbal, Maureen Labarussias, Vanessa Le Berre, Anne Malo, Catherine Morel-Pair, Laurent Rassinoux, Sylvie Yau Chun Wan - Senon, Alain Zasadzinski. Philippe Dessen is the Database Director, and Alain Bernheim the Chairman of the on-line version (Gustave Roussy Institute – Villejuif – France). The Atlas of Genetics and Cytogenetics in Oncology and Haematology (ISSN 1768-3262) is published 12 times a year by ARMGHM, a non profit organisation, and by the INstitute for Scientific and Technical Information of the French National Center for Scientific Research (INIST-CNRS) since 2008. The Atlas is hosted by INIST-CNRS (http://www.inist.fr) http://AtlasGeneticsOncology.org © ATLAS - ISSN 1768-3262 The PDF version of the Atlas of Genetics and Cytogenetics in Oncology and Haematology is a reissue of the original articles published in collaboration with the Institute for Scientific and Technical Information (INstitut de l’Information Scientifique et Technique - INIST) of the French National Center for Scientific Research (CNRS) on its electronic publishing platform I-Revues.
    [Show full text]
  • Genome-Scale Capture C Promoter Interaction Analysis Implicates
    bioRxiv preprint doi: https://doi.org/10.1101/405142; this version posted August 31, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Genome-scale Capture C promoter interaction analysis implicates novel effector genes at GWAS loci for bone mineral density Alessandra Chesi1*, Yadav Wagley2*, Matthew E. Johnson1*, Elisabetta Manduchi1,3*, Chun Su1, Sumei Lu1, Michelle E. Leonard1, Kenyaita M. Hodge1, James A. Pippin1, Kurt D. Hankenson2*, Andrew D. Wells1,4* and Struan F.A. Grant1,5,6* *equal contribution 1Center for Spatial and Functional Genomics, Children's Hospital of Philadelphia, Philadelphia, United States, 2Department of Orthopaedic Surgery, University of Michigan Medical School, Ann Arbor, United States, 3Institute for Biomedical Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, United States, 4Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, United States, 5Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, United States, 6Divisions of Genetics and Endocrinology, Children's Hospital of Philadelphia, Philadelphia, United States bioRxiv preprint doi: https://doi.org/10.1101/405142; this version posted August 31, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. ASBTRACT Osteoporosis is a devastating disease with an essential genetic component. Genome wide association studies (GWAS) have discovered genetic variants robustly associated with bone mineral density (BMD), however they only report genomic signals and not necessarily the precise localization of culprit effector genes.
    [Show full text]
  • Connecting Cholesterol Efflux Factors to Lung Cancer Biology And
    International Journal of Molecular Sciences Review Connecting Cholesterol Efflux Factors to Lung Cancer Biology and Therapeutics Maria Maslyanko †, Ryan D. Harris † and David Mu * Leroy T. Canoles Jr. Cancer Research Center, Department of Microbiology and Molecular Cell Biology, Eastern Virginia Medical School, Norfolk, VA 23501, USA; [email protected] (M.M.); [email protected] (R.D.H.) * Correspondence: [email protected] † Equal contribution. Abstract: Cholesterol is a foundational molecule of biology. There is a long-standing interest in understanding how cholesterol metabolism is intertwined with cancer biology. In this review, we focus on the known connections between lung cancer and molecules mediating cholesterol efflux. A major take-home lesson is that the roles of many cholesterol efflux factors remain underexplored. It is our hope that this article would motivate others to investigate how cholesterol efflux factors contribute to lung cancer biology. Keywords: lung cancer; cholesterol efflux; ABCA1; ABCG1; Apo AI; miRNA; miR-33a; miR-200b-3p; LRPs; LAL; NPC1; STARD3; SMPD1; NCEH1; SR-BI; TTF-1; drug resistance; cisplatin 1. Introduction Citation: Maslyanko, M.; Harris, Cholesterol is essential for cell viability and cell membrane integrity. Cholesterol is R.D.; Mu, D. Connecting Cholesterol also a precursor to many physiologically important hormones. The interest in the intercon- Efflux Factors to Lung Cancer Biology nection between cholesterol metabolism and cancer is best illustrated by the abundance of and Therapeutics. Int. J. Mol. Sci. literature on this subject matter. A quick search of PubMed.gov (accessed on 4 June 2021) 2021, 22, 7209. https://doi.org/ using the two key words (Cholesterol AND Cancer) retrieves over 20,000 publications.
    [Show full text]
  • High Expression of the Sd Synthase B4GALNT2 Associates with Good
    cells Article High Expression of the Sda Synthase B4GALNT2 Associates with Good Prognosis and Attenuates Stemness in Colon Cancer Michela Pucci y, Inês Gomes Ferreira y, Martina Orlandani, Nadia Malagolini, Manuela Ferracin and Fabio Dall’Olio * Department of Experimental, Diagnostic and Specialty Medicine (DIMES), General Pathology Building, University of Bologna, Via San Giacomo 14, Via San Giacomo 14, 40126 Bologna, Italy; [email protected] (M.P.); [email protected] (I.G.F.); [email protected] (M.O.); [email protected] (N.M.); [email protected] (M.F.) * Correspondence: [email protected]; Tel.: +39-051-2094704 These authors have equal contribution. y Received: 25 February 2020; Accepted: 7 April 2020; Published: 11 April 2020 Abstract: Background: The carbohydrate antigen Sda and its biosynthetic enzyme B4GALNT2 are highly expressed in normal colonic mucosa but are down-regulated to a variable degree in colon cancer tissues. Here, we investigated the clinical and biological importance of B4GALNT2 in colon cancer. Methods: Correlations of B4GALNT2 mRNA with clinical data were obtained from The Cancer Genome Atlas (TCGA) database; the phenotypic and transcriptomic changes induced by B4GALNT2 were studied in LS174T cells transfected with B4GALNT2 cDNA. Results: TCGA data indicate that patients with high B4GALNT2 expression in cancer tissues display longer survival than non-expressers. In LS174T cells, expression of B4GALNT2 did not affect the ability to heal a scratch wound or to form colonies in standard growth conditions but markedly reduced the growth in soft agar, the tridimensional (3D) growth as spheroids, and the number of cancer stem cells, indicating a specific effect of B4GALNT2 on the growth in poor adherence and stemness.
    [Show full text]
  • Research Article Identification of Microrna As Sepsis Biomarker Based on Mirnas Regulatory Network Analysis
    Hindawi Publishing Corporation BioMed Research International Volume 2014, Article ID 594350, 12 pages http://dx.doi.org/10.1155/2014/594350 Research Article Identification of MicroRNA as Sepsis Biomarker Based on miRNAs Regulatory Network Analysis Jie Huang,1 Zhandong Sun,1,2 Wenying Yan,2,3,4 Yujie Zhu,2 Yuxin Lin,2 Jiajai Chen,2,4 Bairong Shen,2 and Jian Wang1 1 SystemsSepsisBiologyTeam,SoochowUniversityAffiliatedChildren’sHospital,Suzhou215003,China 2 Center for Systems Biology, Soochow University, Suzhou 215006, China 3 Suzhou Zhengxing Translational Biomedical Informatics Ltd., Taicang 215400, China 4 Taicang Center for Translational Bioinformatics, Taicang 215400, China Correspondence should be addressed to Jian Wang; wangjian [email protected] Received 17 January 2014; Accepted 3 March 2014; Published 6 April 2014 Academic Editor: Junfeng Xia Copyright © 2014 Jie Huang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Sepsis is regarded as arising from an unusual systemic response to infection but the physiopathology of sepsis remains elusive. At present, sepsis is still a fatal condition with delayed diagnosis and a poor outcome. Many biomarkers have been reported in clinical application for patients with sepsis, and claimed to improve the diagnosis and treatment. Because of the difficulty in the interpreting of clinical features of sepsis, some biomarkers do not show high sensitivity and specificity. MicroRNAs (miRNAs) are small noncoding RNAs which pair the sites in mRNAs to regulate gene expression in eukaryotes. They play a key role in inflammatory response, and have been validated to be potential sepsis biomarker recently.
    [Show full text]
  • Recurrent Deletions of IKZF1 in Pediatric Acute Myeloid Leukemia
    Acute Myeloid Leukemia SUPPLEMENTARY APPENDIX Recurrent deletions of IKZF1 in pediatric acute myeloid leukemia Jasmijn D.E. de Rooij, 1* Eva Beuling, 1* Marry M. van den Heuvel-Eibrink, 1,2 Askar Obulkasim, 1 André Baruchel, 3 Jan Trka, 4 Dirk Reinhardt, 5 Edwin Sonneveld, 6 Brenda E.S. Gibson, 7 Rob Pieters, 2 Martin Zimmermann, 4 C. Michel Zwaan, 1† and Maarten Fornerod 1† 1Pediatric Oncology, Erasmus MC-Sophia Children’s Hospital Rotterdam, the Netherlands; 2Princess Máxima Center for Pediatric Oncol - ogy, Utrecht, the Netherlands; 3Hematology, Hopital Saint- Louis, Paris, France; 4Pediatric Hematology/Oncology, 2 nd Medical School, Charles University, Prague, Czech Republic; 5AML-BFM Study Group, Pediatric Hematology/Oncology, Medical School Hannover, Ger - many; 6Dutch Childhood Oncology Group (DCOG), The Hague, the Netherlands; and 7Royal Hospital for Sick Children, Glasgow, UK *JDEdR and EB contributed equally to this work †CMZ and MF contributed equally to this work ©2015 Ferrata Storti Foundation. This is an open-access paper. doi:10.3324/haematol.2015.124321 Manuscript received on January 23, 2015. Manuscript accepted on June 5, 2015. Correspondence: [email protected] Supplementary Table 1. Primer sequences used for RT-PCR and qRT-PCR Gene Location Direction Primers RT-PCR primers IKZF1 Exon 4 Forward 5’-GCTGCTGTGTTGTTTTG-3’ Reverse 5’-TGCTTTCCTCCTTCAAACCC-3’ IKZF1 Exon 5 Forward 5’-CGTGGGAAACAACTTTCTCG-3’ Reverse 5’-CAGAGTGGAGGAATCCCG-3’ IKZF1 Exon 8 Forward 5’-GACCTGACCGGTTCC-3’ Reverse 5’-CAGTCTATGCTGCTGGCG-3’ BCR Exon 13 Forward 5’-TTCCGCTGACCATCA-3’ ABL1 Exon 3 Reverse 5’-CGCTGCTCAGCAGATACT-3’ qRT-PCR primers HEMGN Exon 3 Forward 5’-CCTGGAGTTTGAGAAACAGA-3’ Exon 4 Reverse 5’-AGGCTCCACCTTCAATTC-3’ FHL2 Exon 5 Forward 5’-CGCAGTGCAGAAACTCA-3’ Exon 6 Reverse 5’-CTGCCCTTGTACTCCATCT-3’ SETBP1 Exon 2 Forward 5’-CCGGAAGACTGTAGAGATTG-3’ Exon 2 Reverse 5’-CCGCTTTGTGGTCTGA-3’ FZD6 Exon 4 Forward 5’-CCGGAACCAAGAAAAACTA-3’ Exon 5 Reverse 5’-ATGCCAACAATTAATGTCATC-3’ 1 Supplementary Table 2.
    [Show full text]