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Balachandra V, Shrestha RL, Hammond CM, Lin S, Hendriks IA, Sethi SC, Chen L, Sevilla S, Caplen NJ, Chari R, Karpova TS, McKinnon K, Todd MA, Koparde V, Cheng KCC, Nielsen ML, Groth A, Basrai MA. DNAJC9 prevents CENP-A mislocalization and chromosomal instability by maintaining the fidelity of histone supply chains. EMBO J 2024:10.1038/s44318-024-00093-6. [PMID: 38600242 DOI: 10.1038/s44318-024-00093-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 03/20/2024] [Accepted: 03/25/2024] [Indexed: 04/12/2024] Open
Abstract
The centromeric histone H3 variant CENP-A is overexpressed in many cancers. The mislocalization of CENP-A to noncentromeric regions contributes to chromosomal instability (CIN), a hallmark of cancer. However, pathways that promote or prevent CENP-A mislocalization remain poorly defined. Here, we performed a genome-wide RNAi screen for regulators of CENP-A localization which identified DNAJC9, a J-domain protein implicated in histone H3-H4 protein folding, as a factor restricting CENP-A mislocalization. Cells lacking DNAJC9 exhibit mislocalization of CENP-A throughout the genome, and CIN phenotypes. Global interactome analysis showed that DNAJC9 depletion promotes the interaction of CENP-A with the DNA-replication-associated histone chaperone MCM2. CENP-A mislocalization upon DNAJC9 depletion was dependent on MCM2, defining MCM2 as a driver of CENP-A deposition at ectopic sites when H3-H4 supply chains are disrupted. Cells depleted for histone H3.3, also exhibit CENP-A mislocalization. In summary, we have defined novel factors that prevent mislocalization of CENP-A, and demonstrated that the integrity of H3-H4 supply chains regulated by histone chaperones such as DNAJC9 restrict CENP-A mislocalization and CIN.
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Affiliation(s)
- Vinutha Balachandra
- Yeast Genome Stability Section, Genetics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Roshan L Shrestha
- Yeast Genome Stability Section, Genetics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Colin M Hammond
- Novo Nordisk Foundation Center for Protein Research (CPR), Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
- Biotech Research and Innovation Centre (BRIC), Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
- Department of Molecular and Clinical Cancer Medicine, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK.
| | - Shinjen Lin
- Functional Genomics Laboratory, National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, MD, USA
| | - Ivo A Hendriks
- Novo Nordisk Foundation Center for Protein Research (CPR), Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Subhash Chandra Sethi
- Yeast Genome Stability Section, Genetics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Lu Chen
- Functional Genomics Laboratory, National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, MD, USA
| | - Samantha Sevilla
- Collaborative Bioinformatics Resource, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- Advanced Biomedical Computational Science, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Natasha J Caplen
- Functional Genetics Section, Genetics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Raj Chari
- Genome Modification Core (GMC), Frederick National Lab for Cancer Research, Frederick, MD, USA
| | - Tatiana S Karpova
- Optical Microscopy Core, Laboratory of Receptor Biology and Gene Expression, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Katherine McKinnon
- Flow Cytometry Core, Vaccine Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Matthew Am Todd
- Novo Nordisk Foundation Center for Protein Research (CPR), Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Biotech Research and Innovation Centre (BRIC), Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Cellular and Molecular Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Vishal Koparde
- Collaborative Bioinformatics Resource, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- Advanced Biomedical Computational Science, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Ken Chih-Chien Cheng
- Functional Genomics Laboratory, National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, MD, USA
| | - Michael L Nielsen
- Novo Nordisk Foundation Center for Protein Research (CPR), Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Anja Groth
- Novo Nordisk Foundation Center for Protein Research (CPR), Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Biotech Research and Innovation Centre (BRIC), Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Cellular and Molecular Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Munira A Basrai
- Yeast Genome Stability Section, Genetics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
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Ramaswami R, Tagawa T, Mahesh G, Serquina A, Koparde V, Lurain K, Dremel S, Li X, Mungale A, Beran A, Ohler ZW, Bassel L, Warner A, Mangusan R, Widell A, Ekwede I, Krug LT, Uldrick TS, Yarchoan R, Ziegelbauer JM. Transcriptional landscape of Kaposi sarcoma tumors identifies unique immunologic signatures and key determinants of angiogenesis. J Transl Med 2023; 21:653. [PMID: 37740179 PMCID: PMC10517594 DOI: 10.1186/s12967-023-04517-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 09/09/2023] [Indexed: 09/24/2023] Open
Abstract
BACKGROUND Kaposi sarcoma (KS) is a multicentric tumor caused by Kaposi sarcoma herpesvirus (KSHV) that leads to morbidity and mortality among people with HIV worldwide. KS commonly involves the skin but can occur in the gastrointestinal tract (GI) in severe cases. METHODS RNA sequencing was used to compare the cellular and KSHV gene expression signatures of skin and GI KS lesions in 44 paired samples from 19 participants with KS alone or with concurrent KSHV-associated diseases. Analyses of KSHV expression from KS lesions identified transcriptionally active areas of the viral genome. RESULTS The transcript of an essential viral lytic gene, ORF75, was detected in 91% of KS lesions. Analyses of host genes identified 370 differentially expressed genes (DEGs) unique to skin KS and 58 DEGs unique to GI KS lesions as compared to normal tissue. Interleukin (IL)-6 and IL-10 gene expression were higher in skin lesions as compared to normal skin but not in GI KS lesions. Twenty-six cellular genes were differentially expressed in both skin and GI KS tissues: these included Fms-related tyrosine kinase 4 (FLT4), encoding an angiogenic receptor, and Stanniocalcin 1 (STC1), a secreted glycoprotein. FLT4 and STC1 were further investigated in functional studies using primary lymphatic endothelial cells (LECs). In these models, KSHV infection of LECs led to increased tubule formation that was impaired upon knock-down of STC1 or FLT4. CONCLUSIONS This study of transcriptional profiling of KS tissue provides novel insights into the characteristics and pathogenesis of this unique virus-driven neoplasm.
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Affiliation(s)
- Ramya Ramaswami
- HIV and AIDS Malignancy Branch, National Cancer Institute, Bethesda, MD, 20892, USA
| | - Takanobu Tagawa
- HIV and AIDS Malignancy Branch, National Cancer Institute, Bethesda, MD, 20892, USA
| | - Guruswamy Mahesh
- HIV and AIDS Malignancy Branch, National Cancer Institute, Bethesda, MD, 20892, USA
| | - Anna Serquina
- HIV and AIDS Malignancy Branch, National Cancer Institute, Bethesda, MD, 20892, USA
| | - Vishal Koparde
- Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Kathryn Lurain
- HIV and AIDS Malignancy Branch, National Cancer Institute, Bethesda, MD, 20892, USA
| | - Sarah Dremel
- HIV and AIDS Malignancy Branch, National Cancer Institute, Bethesda, MD, 20892, USA
| | - Xiaofan Li
- HIV and AIDS Malignancy Branch, National Cancer Institute, Bethesda, MD, 20892, USA
| | - Ameera Mungale
- HIV and AIDS Malignancy Branch, National Cancer Institute, Bethesda, MD, 20892, USA
| | - Alex Beran
- HIV and AIDS Malignancy Branch, National Cancer Institute, Bethesda, MD, 20892, USA
| | - Zoe Weaver Ohler
- Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Laura Bassel
- Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Andrew Warner
- Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Ralph Mangusan
- HIV and AIDS Malignancy Branch, National Cancer Institute, Bethesda, MD, 20892, USA
| | - Anaida Widell
- HIV and AIDS Malignancy Branch, National Cancer Institute, Bethesda, MD, 20892, USA
| | - Irene Ekwede
- HIV and AIDS Malignancy Branch, National Cancer Institute, Bethesda, MD, 20892, USA
| | - Laurie T Krug
- HIV and AIDS Malignancy Branch, National Cancer Institute, Bethesda, MD, 20892, USA
| | - Thomas S Uldrick
- HIV and AIDS Malignancy Branch, National Cancer Institute, Bethesda, MD, 20892, USA
| | - Robert Yarchoan
- HIV and AIDS Malignancy Branch, National Cancer Institute, Bethesda, MD, 20892, USA
| | - Joseph M Ziegelbauer
- HIV and AIDS Malignancy Branch, National Cancer Institute, Bethesda, MD, 20892, USA.
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3
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Nigam N, Bernard B, Sevilla S, Kim S, Dar MS, Tsai D, Robbins Y, Burkitt K, Sievers C, Allen CT, Bennett RL, Tettey TT, Carter B, Rinaldi L, Lingen MW, Sater H, Edmondson EF, Moshiri A, Saeed A, Cheng H, Luo X, Brennan K, Koparde V, Chen C, Das S, Andresson T, Abdelmaksoud A, Murali M, Sakata S, Takeuchi K, Chari R, Nakamura Y, Uppaluri R, Sunwoo JB, Van Waes C, Licht JD, Hager GL, Saloura V. SMYD3 represses tumor-intrinsic interferon response in HPV-negative squamous cell carcinoma of the head and neck. Cell Rep 2023; 42:112823. [PMID: 37463106 PMCID: PMC10407766 DOI: 10.1016/j.celrep.2023.112823] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 04/03/2023] [Accepted: 07/03/2023] [Indexed: 07/20/2023] Open
Abstract
Cancers often display immune escape, but the mechanisms are incompletely understood. Herein, we identify SMYD3 as a mediator of immune escape in human papilloma virus (HPV)-negative head and neck squamous cell carcinoma (HNSCC), an aggressive disease with poor response to immunotherapy with pembrolizumab. SMYD3 depletion induces upregulation of multiple type I interferon (IFN) response and antigen presentation machinery genes in HNSCC cells. Mechanistically, SMYD3 binds to and regulates the transcription of UHRF1, encoding for a reader of H3K9me3, which binds to H3K9me3-enriched promoters of key immune-related genes, recruits DNMT1, and silences their expression. SMYD3 further maintains the repression of immune-related genes through intragenic deposition of H4K20me3. In vivo, Smyd3 depletion induces influx of CD8+ T cells and increases sensitivity to anti-programmed death 1 (PD-1) therapy. SMYD3 overexpression is associated with decreased CD8 T cell infiltration and poor response to neoadjuvant pembrolizumab. These data support combining SMYD3 depletion strategies with checkpoint blockade to overcome anti-PD-1 resistance in HPV-negative HNSCC.
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Affiliation(s)
- Nupur Nigam
- Thoracic and GI Malignancies Branch, Center for Cancer Research, NCI, NIH, Bethesda, MD 20892, USA
| | - Benjamin Bernard
- Thoracic and GI Malignancies Branch, Center for Cancer Research, NCI, NIH, Bethesda, MD 20892, USA
| | - Samantha Sevilla
- Collaborative Bioinformatics Resource, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA; Advanced Biomedical Computational Science, Frederick National Laboratory for Cancer Research, Frederick, MD 21702, USA
| | - Sohyoung Kim
- Laboratory of Receptor Biology and Gene Expression, NCI, NIH, Bethesda, MD 20892, USA
| | - Mohd Saleem Dar
- Thoracic and GI Malignancies Branch, Center for Cancer Research, NCI, NIH, Bethesda, MD 20892, USA
| | - Daniel Tsai
- Thoracic and GI Malignancies Branch, Center for Cancer Research, NCI, NIH, Bethesda, MD 20892, USA
| | - Yvette Robbins
- Translational Tumor Immunology Program, NIDCD, NIH, Bethesda, MD 20892, USA
| | - Kyunghee Burkitt
- Thoracic and GI Malignancies Branch, Center for Cancer Research, NCI, NIH, Bethesda, MD 20892, USA
| | - Cem Sievers
- Translational Tumor Immunology Program, NIDCD, NIH, Bethesda, MD 20892, USA
| | - Clint T Allen
- Translational Tumor Immunology Program, NIDCD, NIH, Bethesda, MD 20892, USA
| | | | - Theophilus T Tettey
- Laboratory of Receptor Biology and Gene Expression, NCI, NIH, Bethesda, MD 20892, USA
| | - Benjamin Carter
- National Heart, Lung and Blood Institute, NIH, Bethesda, MD 20892, USA
| | - Lorenzo Rinaldi
- Laboratory of Receptor Biology and Gene Expression, NCI, NIH, Bethesda, MD 20892, USA
| | - Mark W Lingen
- University of Chicago, Department of Pathology, Chicago, IL 60637, USA
| | - Houssein Sater
- GU Malignancies Branch, NCI, NIH, Bethesda, MD 20892, USA
| | - Elijah F Edmondson
- Molecular Histopathology Laboratory, Frederick National Laboratory for Cancer Research, NIH, Frederick, MD 21702, USA
| | - Arfa Moshiri
- Thoracic and GI Malignancies Branch, Center for Cancer Research, NCI, NIH, Bethesda, MD 20892, USA
| | - Abbas Saeed
- Thoracic and GI Malignancies Branch, Center for Cancer Research, NCI, NIH, Bethesda, MD 20892, USA
| | - Hui Cheng
- National Institute of Deafness and Other Communication Disorders, NIH, Bethesda, MD 20892, USA
| | - Xiaolin Luo
- Ionis Pharmaceuticals, Carlsbad, CA 92010, USA
| | - Kevin Brennan
- Department of Otolaryngology - Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Vishal Koparde
- Collaborative Bioinformatics Resource, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA; Advanced Biomedical Computational Science, Frederick National Laboratory for Cancer Research, Frederick, MD 21702, USA
| | - Chen Chen
- Department of Otolaryngology - Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Sudipto Das
- Protein Characterization Laboratory, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc, Frederick, MD 21702, USA
| | - Thorkell Andresson
- Protein Characterization Laboratory, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc, Frederick, MD 21702, USA
| | - Abdalla Abdelmaksoud
- Collaborative Bioinformatics Resource, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA; Advanced Biomedical Computational Science, Frederick National Laboratory for Cancer Research, Frederick, MD 21702, USA
| | - Madhavi Murali
- Thoracic and GI Malignancies Branch, Center for Cancer Research, NCI, NIH, Bethesda, MD 20892, USA
| | - Seiji Sakata
- Pathology Project for Molecular Targets, Cancer Institute, Japanese Foundation for Cancer Research, Tokyo 135-0063, Japan; Division of Pathology, Cancer Institute, Japanese Foundation for Cancer Research, Tokyo 135-0063, Japan
| | - Kengo Takeuchi
- Pathology Project for Molecular Targets, Cancer Institute, Japanese Foundation for Cancer Research, Tokyo 135-0063, Japan; Division of Pathology, Cancer Institute, Japanese Foundation for Cancer Research, Tokyo 135-0063, Japan; Department of Pathology, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo 135-0063, Japan
| | - Raj Chari
- Genome Modification Core, Laboratory Animal Sciences Program, Frederick National Lab for Cancer Research, Frederick, MD 21702, USA
| | - Yusuke Nakamura
- Cancer Precision Medicine Center, Japanese Foundation for Cancer Research, Tokyo 135-0063, Japan
| | | | - John B Sunwoo
- Department of Otolaryngology - Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Carter Van Waes
- National Institute of Deafness and Other Communication Disorders, NIH, Bethesda, MD 20892, USA
| | | | - Gordon L Hager
- Laboratory of Receptor Biology and Gene Expression, NCI, NIH, Bethesda, MD 20892, USA
| | - Vassiliki Saloura
- Thoracic and GI Malignancies Branch, Center for Cancer Research, NCI, NIH, Bethesda, MD 20892, USA.
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Panchwagh NM, Ewa T, Avula LR, Joseph S, Tai CH, Sevilla S, Koparde V, Zhang X, Alewine C. Abstract 1280: Role of soluble mesothelin in peritoneal metastasis. Cancer Res 2023. [DOI: 10.1158/1538-7445.am2023-1280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/07/2023]
Abstract
Abstract
The cell-surface glycoprotein mesothelin (MSLN) is overexpressed in pancreatic adenocarcinoma (PDAC) and is positively correlated with tumor aggressiveness. MSLN knock-out (KO) PDAC cells have delayed growth of peritoneal metastases in mice. Complementation with wild-type MSLN rescued the phenotype, although complementation with MSLN containing a Y318A point mutation to ablate interaction with MSLN binding partner MUC-16 could not. Mature MSLN is shed into the tumor microenvironment to generate soluble MSLN (sMSLN). We hypothesized that sMSLN would promote peritoneal metastasis. We engineered MSLN C-terminal truncation mutants (∆599-WT and ∆599-Y318A) that lack the membrane attachment site and exist only in soluble form. Parent and MSLN KO PDAC cells were transduced with the vector constructs. These cells were injected into athymic nude mice and peritoneal tumor growth was measured 6 weeks later. MSLN KO cells complemented with ∆599-WT MSLN exhibited poor peritoneal tumor growth, while ∆599-Y318A resulted in growth rescue. We considered that sMSLN might exert a dominant negative effect because it competes for MUC-16 binding with membrane-bound MSLN but cannot facilitate cell-to-cell interaction. Expression of ∆599-WT inhibited tumor growth in parent cells, while ∆599-Y318A failed to do so. The activity of ∆599-Y318A in KO cells remained unexplained. We hypothesized that levels of mircoRNA-198, a purported tumor suppressor regulated by MSLN, might be altered by ∆599 expression and correlate with phenotype rescue. However, no change in microRNA-198 expression was observed in ∆599-expressing cells. We are continuing to investigate the mechanism for a novel activity of sMSLN that is unrelated to MUC-16 binding.
Citation Format: Neel M. Panchwagh, Theressa Ewa, Leela Rani Avula, Sarah Joseph, Chin-Hsien Tai, Samantha Sevilla, Vishal Koparde, Xianyu Zhang, Christine Alewine. Role of soluble mesothelin in peritoneal metastasis [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 1280.
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Ewa T, Avula L, Joseph S, Rudloff M, Sevilla S, Koparde V, Zhang X, Alewine C. Abstract 93: Soluble mesothelin acts as a signaling molecule. Cancer Res 2022. [DOI: 10.1158/1538-7445.am2022-93] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Mesothelin (MSLN) is a cell surface glycoprotein that is expressed by most pancreatic ductal adenocarcinoma (PDAC) and is used as a target for anti-cancer therapy. MSLN expression appears to make pancreatic cancer more aggressive. Previously, we found that MSLN KO PDAC cells grow in culture and as subcutaneous tumors similarly to wild-type (WT) cells but form intraperitoneal metastases poorly. MSLN pre-cursor (pre-MSLN) is a 71-kD glycosylphosphatidylinositol (GPI)-anchored protein that is cleaved intracellularly to make the 31-kD secreted protein Megakaryocyte Potentiating Factor (MPF), and a 40-kD mature MSLN (mMSLN) that retains membrane attachment. The mMSLN can be shed from the cell surface by the action of specific proteases, resulting in release of soluble MSLN (sMSLN) to both the tumor microenvironment and serum. The goal of this study is to see if sMSLN promotes cancer cell aggressiveness. We transduced MSLN KO pancreas cancer cells to express: 1) a mutant, secreted-only pre-MSLN (includes WT MPF) with a C-terminal truncation (MSLNΔ599) that prevents GPI-linkage of MSLN to the membrane, and 2) truncated pre-MSLN consisting of MPF only. Results show that complementation of KO cells with MPF or MSLNΔ599 does not rescue the MSLN KO phenotype, while MSLNΔ599 bearing a Y318A point mutation that disrupts the binding of MSLN to MUC16/CA125 does restore growth of peritoneal metastasis. We performed RNA-deep sequencing on MSLN KO cells exposed to WT or Y318A sMSLN from conditioned medium. We identified 2000 genes that were differentially expressed across the treatment groups. Exposure to sMSLN resulted in changes in expression of cell adhesion and sterol biosynthetic synthesis pathway genes. Individual genes that were top hits were also identified and are under investigation. Exposure to sMSLN changes the transcriptomic program of pancreas cancer cells and may promote peritoneal colonization.
Citation Format: Theressa Ewa, Leela Avula, Sarah Joseph, Michael Rudloff, Samantha Sevilla, Vishal Koparde, Xianyu Zhang, Christine Alewine. Soluble mesothelin acts as a signaling molecule [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 93.
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Ha T, DiPrima M, Koparde V, Jailwala P, Ohnuki H, Feng JX, Palangat M, Larson D, Tosato G. Antisense transcription from lentiviral gene targeting linked to an integrated stress response in colorectal cancer cells. Molecular Therapy - Nucleic Acids 2022; 28:877-891. [PMID: 35694213 PMCID: PMC9163427 DOI: 10.1016/j.omtn.2022.05.029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Accepted: 05/12/2022] [Indexed: 11/10/2022]
Abstract
Advances in gene therapy research have resulted in the successful development of new therapies for clinical use. Here, we explored a gene targeting approach to deplete ephrinB2 from colorectal cancer cells using an inducible lentiviral vector. EphrinB2, a transmembrane ephrin ligand, promotes colorectal cancer cell growth and viability and predicts poor patient survival when expressed at high levels in colorectal cancer tissues. We discovered that lentiviral vector integration and expression in the host DNA frequently drive divergent host gene transcription, generating antisense reads coupled with splicing events and generation of chimeric vector/host transcripts. Antisense transcription of host DNA was linked to development of an integrated stress response and cell death. Despite recent successes, off-target effects remain a concern in genetic medicine. Our results provide evidence that divergent gene transcription is a previously unrecognized off-target effect of lentiviral vector integration with built-in properties for regulation of gene expression.
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Carofino BL, Dinshaw KM, Ho PY, Cataisson C, Michalowski AM, Ryscavage A, Alkhas A, Wong NW, Koparde V, Yuspa SH. Head and neck squamous cancer progression is marked by CLIC4 attenuation in tumor epithelium and reciprocal stromal upregulation of miR-142-3p, a novel post-transcriptional regulator of CLIC4. Oncotarget 2019; 10:7251-7275. [PMID: 31921386 PMCID: PMC6944452 DOI: 10.18632/oncotarget.27387] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2019] [Accepted: 12/02/2019] [Indexed: 02/06/2023] Open
Abstract
Chloride intracellular channel 4 (CLIC4) is a tumor suppressor implicated in processes including growth arrest, differentiation, and apoptosis. CLIC4 protein expression is diminished in the tumor parenchyma during progression in squamous cell carcinoma (SCC) and other neoplasms, but the underlying mechanisms have not been identified. Data from The Cancer Genome Atlas suggest this is not driven by genomic alterations. However, screening and functional assays identified miR-142-3p as a regulator of CLIC4. CLIC4 and miR-142-3p expression are inversely correlated in head and neck (HN) SCC and cervical SCC, particularly in advanced stage cancers. In situ localization revealed that stromal immune cells, not tumor cells, are the predominant source of miR-142-3p in HNSCC. Furthermore, HNSCC single-cell expression data demonstrated that CLIC4 is lower in tumor epithelial cells than in stromal fibroblasts and endothelial cells. Tumor-specific downregulation of CLIC4 was confirmed in an SCC xenograft model concurrent with immune cell infiltration and miR-142-3p upregulation. These findings provide the first evidence of CLIC4 regulation by miRNA. Furthermore, the distinct localization of CLIC4 and miR-142-3p within the HNSCC tumor milieu highlight the limitations of bulk tumor analysis and provide critical considerations for both future mechanistic studies and use of miR-142-3p as a HNSCC biomarker.
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Affiliation(s)
- Brandi L. Carofino
- Laboratory of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Kayla M. Dinshaw
- Laboratory of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
- Department of Molecular and Cellular Biology, University of California, Berkeley, Berkeley, CA, USA
| | - Pui Yan Ho
- Laboratory of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
- Department of Pediatrics, Division of Stem Cell Transplantation and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Christophe Cataisson
- Laboratory of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Aleksandra M. Michalowski
- Laboratory of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Andrew Ryscavage
- Laboratory of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | | | - Nathan W. Wong
- CCR Collaborative Bioinformatics Resource (CCBR), Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
- Advanced Biomedical Computational Science, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Vishal Koparde
- CCR Collaborative Bioinformatics Resource (CCBR), Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
- Advanced Biomedical Computational Science, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Stuart H. Yuspa
- Laboratory of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
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Tomassoni-Ardori F, Fulgenzi G, Becker J, Barrick C, Palko ME, Kuhn S, Koparde V, Cam M, Yanpallewar S, Oberdoerffer S, Tessarollo L. Rbfox1 up-regulation impairs BDNF-dependent hippocampal LTP by dysregulating TrkB isoform expression levels. eLife 2019; 8:49673. [PMID: 31429825 PMCID: PMC6715404 DOI: 10.7554/elife.49673] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2019] [Accepted: 07/25/2019] [Indexed: 12/19/2022] Open
Abstract
Brain-derived neurotrophic factor (BDNF) is a potent modulator of brain synaptic plasticity. Signaling defects caused by dysregulation of its Ntrk2 (TrkB) kinase (TrkB.FL) and truncated receptors (TrkB.T1) have been linked to the pathophysiology of several neurological and neurodegenerative disorders. We found that upregulation of Rbfox1, an RNA binding protein associated with intellectual disability, epilepsy and autism, increases selectively hippocampal TrkB.T1 isoform expression. Physiologically, increased Rbfox1 impairs BDNF-dependent LTP which can be rescued by genetically restoring TrkB.T1 levels. RNA-seq analysis of hippocampi with upregulation of Rbfox1 in conjunction with the specific increase of TrkB.T1 isoform expression also shows that the genes affected by Rbfox1 gain of function are surprisingly different from those influenced by Rbfox1 deletion. These findings not only identify TrkB as a major target of Rbfox1 pathophysiology but also suggest that gain or loss of function of Rbfox1 regulate different genetic landscapes.
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Affiliation(s)
- Francesco Tomassoni-Ardori
- Neural Development Section, Mouse Cancer Genetics Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, United States
| | - Gianluca Fulgenzi
- Neural Development Section, Mouse Cancer Genetics Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, United States
| | - Jodi Becker
- Neural Development Section, Mouse Cancer Genetics Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, United States
| | - Colleen Barrick
- Neural Development Section, Mouse Cancer Genetics Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, United States
| | - Mary Ellen Palko
- Neural Development Section, Mouse Cancer Genetics Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, United States
| | - Skyler Kuhn
- CCR Collaborative Bioinformatics Resource (CCBR), Center for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, United States.,Advanced Biomedical Computational Science, Frederick National Laboratory for Cancer Research sponsored by the National Cancer Institute, Frederick, United States
| | - Vishal Koparde
- CCR Collaborative Bioinformatics Resource (CCBR), Center for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, United States.,Advanced Biomedical Computational Science, Frederick National Laboratory for Cancer Research sponsored by the National Cancer Institute, Frederick, United States
| | - Maggie Cam
- CCR Collaborative Bioinformatics Resource (CCBR), Center for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, United States.,Advanced Biomedical Computational Science, Frederick National Laboratory for Cancer Research sponsored by the National Cancer Institute, Frederick, United States
| | - Sudhirkumar Yanpallewar
- Neural Development Section, Mouse Cancer Genetics Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, United States
| | - Shalini Oberdoerffer
- Laboratory of Receptor Biology and Gene Expression, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, United States
| | - Lino Tessarollo
- Neural Development Section, Mouse Cancer Genetics Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, United States
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9
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Braun R, Ronquist S, Wangsa D, Chen H, Anthuber L, Gemoll T, Wangsa D, Koparde V, Hunn C, Habermann JK, Heselmeyer-Haddad K, Rajapakse I, Ried T. Single Chromosome Aneuploidy Induces Genome-Wide Perturbation of Nuclear Organization and Gene Expression. Neoplasia 2019; 21:401-412. [PMID: 30909073 PMCID: PMC6434407 DOI: 10.1016/j.neo.2019.02.003] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2019] [Revised: 02/22/2019] [Accepted: 02/26/2019] [Indexed: 12/21/2022] Open
Abstract
Chromosomal aneuploidy is a defining feature of carcinomas and results in tumor-entity specific genomic imbalances. For instance, most sporadic colorectal carcinomas carry extra copies of chromosome 7, an aneuploidy that emerges already in premalignant adenomas, and is maintained throughout tumor progression and in derived cell lines. A comprehensive understanding on how chromosomal aneuploidy affects nuclear organization and gene expression, i.e., the nucleome, remains elusive. We now analyzed a cell line established from healthy colon mucosa with a normal karyotype (46,XY) and its isogenic derived cell line that acquired an extra copy of chromosome 7 as its sole anomaly (47,XY,+7). We studied structure/function relationships consequent to aneuploidization using genome-wide chromosome conformation capture (Hi-C), RNA sequencing and protein profiling. The gain of chromosome 7 resulted in an increase of transcript levels of resident genes as well as genome-wide gene and protein expression changes. The Hi-C analysis showed that the extra copy of chromosome 7 is reflected in more interchromosomal contacts between the triploid chromosomes. Chromatin organization changes are observed genome-wide, as determined by changes in A/B compartmentalization and topologically associating domain (TAD) boundaries. Most notably, chromosome 4 shows a profound loss of chromatin organization, and chromosome 14 contains a large A/B compartment switch region, concurrent with resident gene expression changes. No changes to the nuclear position of the additional chromosome 7 territory were observed when measuring distances of chromosome painting probes by interphase FISH. Genome and protein data showed enrichment in signaling pathways crucial for malignant transformation, such as the HGF/MET-axis. We conclude that a specific chromosomal aneuploidy has profound impact on nuclear structure and function, both locally and genome-wide. Our study provides a benchmark for the analysis of cancer nucleomes with complex karyotypes.
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Affiliation(s)
- Rüdiger Braun
- Section of Cancer Genomics, National Cancer Institute, Center for Cancer Research, NIH, Bethesda, MD, USA
| | - Scott Ronquist
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Darawalee Wangsa
- Section of Cancer Genomics, National Cancer Institute, Center for Cancer Research, NIH, Bethesda, MD, USA
| | - Haiming Chen
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Lena Anthuber
- Section of Cancer Genomics, National Cancer Institute, Center for Cancer Research, NIH, Bethesda, MD, USA
| | - Timo Gemoll
- Section for Translational Surgical Oncology and Biobanking, Department of Surgery, University of Lübeck and University Medical Center Schleswig-Holstein, Lübeck, Germany
| | - Danny Wangsa
- Section of Cancer Genomics, National Cancer Institute, Center for Cancer Research, NIH, Bethesda, MD, USA
| | - Vishal Koparde
- CCR Collaborative Bioinformatics Resource (CCBR), Center for Cancer Research, NCI, Bethesda, MD, USA; Advanced Biomedical Computational Science, Frederick National Laboratory for Cancer Research sponsored by the National Cancer Institute, Frederick, MD, USA
| | - Cynthia Hunn
- Section of Cancer Genomics, National Cancer Institute, Center for Cancer Research, NIH, Bethesda, MD, USA
| | - Jens K Habermann
- Section for Translational Surgical Oncology and Biobanking, Department of Surgery, University of Lübeck and University Medical Center Schleswig-Holstein, Lübeck, Germany
| | - Kerstin Heselmeyer-Haddad
- Section of Cancer Genomics, National Cancer Institute, Center for Cancer Research, NIH, Bethesda, MD, USA
| | - Indika Rajapakse
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA; Department of Mathematics, University of Michigan, Ann Arbor, MI, USA.
| | - Thomas Ried
- Section of Cancer Genomics, National Cancer Institute, Center for Cancer Research, NIH, Bethesda, MD, USA.
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10
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Salman A, Koparde V, Hall CE, Jameson-Lee M, Roberts C, Serrano M, AbdulRazzaq B, Meier J, Kennedy C, Manjili MH, Spellman SR, Wijesinghe D, Hashmi S, Buck G, Qayyum R, Neale M, Reed J, Toor AA. Determining the Quantitative Principles of T Cell Response to Antigenic Disparity in Stem Cell Transplantation. Front Immunol 2018; 9:2284. [PMID: 30364159 PMCID: PMC6193078 DOI: 10.3389/fimmu.2018.02284] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2018] [Accepted: 09/14/2018] [Indexed: 11/25/2022] Open
Abstract
Alloreactivity compromising clinical outcomes in stem cell transplantation is observed despite HLA matching of donors and recipients. This has its origin in the variation between the exomes of the two, which provides the basis for minor histocompatibility antigens (mHA). The mHA presented on the HLA class I and II molecules and the ensuing T cell response to these antigens results in graft vs. host disease. In this paper, results of a whole exome sequencing study are presented, with resulting alloreactive polymorphic peptides and their HLA class I and HLA class II (DRB1) binding affinity quantified. Large libraries of potentially alloreactive recipient peptides binding both sets of molecules were identified, with HLA-DRB1 generally presenting a greater number of peptides. These results are used to develop a quantitative framework to understand the immunobiology of transplantation. A tensor-based approach is used to derive the equations needed to determine the alloreactive donor T cell response from the mHA-HLA binding affinity and protein expression data. This approach may be used in future studies to simulate the magnitude of expected donor T cell response and determine the risk for alloreactive complications in HLA matched or mismatched hematopoietic cell and solid organ transplantation.
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Affiliation(s)
- Ali Salman
- Bone Marrow Transplant, Virginia Commonwealth University Massey Cancer Center, Virginia Commonwealth University, Richmond, VA, United States
| | - Vishal Koparde
- Virginia Commonwealth University Center for the Study of Biological Complexity, Virginia Commonwealth University, Richmond, VA, United States
| | - Charles E. Hall
- Bone Marrow Transplant, Virginia Commonwealth University Massey Cancer Center, Virginia Commonwealth University, Richmond, VA, United States
| | - Max Jameson-Lee
- Bone Marrow Transplant, Virginia Commonwealth University Massey Cancer Center, Virginia Commonwealth University, Richmond, VA, United States
| | - Catherine Roberts
- Bone Marrow Transplant, Virginia Commonwealth University Massey Cancer Center, Virginia Commonwealth University, Richmond, VA, United States
| | - Myrna Serrano
- Virginia Commonwealth University Center for the Study of Biological Complexity, Virginia Commonwealth University, Richmond, VA, United States
| | - Badar AbdulRazzaq
- Bone Marrow Transplant, Virginia Commonwealth University Massey Cancer Center, Virginia Commonwealth University, Richmond, VA, United States
| | - Jeremy Meier
- Bone Marrow Transplant, Virginia Commonwealth University Massey Cancer Center, Virginia Commonwealth University, Richmond, VA, United States
| | - Caleb Kennedy
- Center for International Blood and Marrow Transplant Research, Minneapolis, MN, United States
| | - Masoud H. Manjili
- Department of Microbiology and Immunology, Virginia Commonwealth University, Richmond, VA, United States
| | - Stephen R. Spellman
- Center for International Blood and Marrow Transplant Research, Minneapolis, MN, United States
| | - Dayanjan Wijesinghe
- School of Pharmacy, Virginia Commonwealth University, Richmond, VA, United States
| | - Shahrukh Hashmi
- Mayo Clinic, Rochester Minnesota and King Faisal Research Hospital, Riyadh, Saudi Arabia
| | - Greg Buck
- Virginia Commonwealth University Center for the Study of Biological Complexity, Virginia Commonwealth University, Richmond, VA, United States
| | - Rehan Qayyum
- Department of Internal Medicine, Virginia Commonwealth University, Richmond, VA, United States
| | - Michael Neale
- Department of Psychiatry & Statistical Genomics, Virginia Commonwealth University, Richmond, VA, United States
| | - Jason Reed
- Department of Physics, Virginia Commonwealth University, Richmond, VA, United States
| | - Amir A. Toor
- Bone Marrow Transplant, Virginia Commonwealth University Massey Cancer Center, Virginia Commonwealth University, Richmond, VA, United States
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11
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Koparde V, Abdul Razzaq B, Suntum T, Sabo R, Scalora A, Serrano M, Jameson-Lee M, Hall C, Kobulnicky D, Sheth N, Feltz J, Contaifer D, Wijesinghe D, Reed J, Roberts C, Qayyum R, Buck G, Neale M, Toor A. Dynamical system modeling to simulate donor T cell response to whole exome sequencing-derived recipient peptides: Understanding randomness in alloreactivity incidence following stem cell transplantation. PLoS One 2017; 12:e0187771. [PMID: 29194460 PMCID: PMC5711034 DOI: 10.1371/journal.pone.0187771] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2017] [Accepted: 10/25/2017] [Indexed: 12/01/2022] Open
Abstract
Quantitative relationship between the magnitude of variation in minor histocompatibility antigens (mHA) and graft versus host disease (GVHD) pathophysiology in stem cell transplant (SCT) donor-recipient pairs (DRP) is not established. In order to elucidate this relationship, whole exome sequencing (WES) was performed on 27 HLA matched related (MRD), & 50 unrelated donors (URD), to identify nonsynonymous single nucleotide polymorphisms (SNPs). An average 2,463 SNPs were identified in MRD, and 4,287 in URD DRP (p<0.01); resulting peptide antigens that may be presented on HLA class I molecules in each DRP were derived in silico (NetMHCpan ver2.0) and the tissue expression of proteins these were derived from determined (GTex). MRD DRP had an average 3,670 HLA-binding-alloreactive peptides, putative mHA (pmHA) with an IC50 of <500 nM, and URD, had 5,386 (p<0.01). To simulate an alloreactive donor cytotoxic T cell response, the array of pmHA in each patient was considered as an operator matrix modifying a hypothetical cytotoxic T cell clonal vector matrix; each responding T cell clone’s proliferation was determined by the logistic equation of growth, accounting for HLA binding affinity and tissue expression of each alloreactive peptide. The resulting simulated organ-specific alloreactive T cell clonal growth revealed marked variability, with the T cell count differences spanning orders of magnitude between different DRP. Despite an estimated, uniform set of constants used in the model for all DRP, and a heterogeneously treated group of patients, higher total and organ-specific T cell counts were associated with cumulative incidence of moderate to severe GVHD in recipients. In conclusion, exome wide sequence differences and the variable alloreactive peptide binding to HLA in each DRP yields a large range of possible alloreactive donor T cell responses. Our findings also help understand the apparent randomness observed in the development of alloimmune responses.
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Affiliation(s)
- Vishal Koparde
- Center for the Study of Biological Complexity, Virginia Commonwealth University, Richmond, Virginia, United States of America
| | - Badar Abdul Razzaq
- Bone Marrow Transplant Program, Department of Internal Medicine, Massey Cancer Center, Virginia Commonwealth University, Richmond, Virginia, United States of America
| | - Tara Suntum
- Bone Marrow Transplant Program, Department of Internal Medicine, Massey Cancer Center, Virginia Commonwealth University, Richmond, Virginia, United States of America
| | - Roy Sabo
- Department of Biostatistics, Virginia Commonwealth University, Richmond, Virginia, United States of America
| | - Allison Scalora
- Bone Marrow Transplant Program, Department of Internal Medicine, Massey Cancer Center, Virginia Commonwealth University, Richmond, Virginia, United States of America
| | - Myrna Serrano
- Center for the Study of Biological Complexity, Virginia Commonwealth University, Richmond, Virginia, United States of America
| | - Max Jameson-Lee
- Bone Marrow Transplant Program, Department of Internal Medicine, Massey Cancer Center, Virginia Commonwealth University, Richmond, Virginia, United States of America
| | - Charles Hall
- Bone Marrow Transplant Program, Department of Internal Medicine, Massey Cancer Center, Virginia Commonwealth University, Richmond, Virginia, United States of America
| | - David Kobulnicky
- Bone Marrow Transplant Program, Department of Internal Medicine, Massey Cancer Center, Virginia Commonwealth University, Richmond, Virginia, United States of America
| | - Nihar Sheth
- Center for the Study of Biological Complexity, Virginia Commonwealth University, Richmond, Virginia, United States of America
| | - Juliana Feltz
- Center for the Study of Biological Complexity, Virginia Commonwealth University, Richmond, Virginia, United States of America
| | - Daniel Contaifer
- School of Pharmacy, Virginia Commonwealth University, Richmond, Virginia, United States of America
| | - Dayanjan Wijesinghe
- School of Pharmacy, Virginia Commonwealth University, Richmond, Virginia, United States of America
| | - Jason Reed
- Department of Physics, Virginia Commonwealth University, Richmond, Virginia, United States of America
| | - Catherine Roberts
- Bone Marrow Transplant Program, Department of Internal Medicine, Massey Cancer Center, Virginia Commonwealth University, Richmond, Virginia, United States of America
| | - Rehan Qayyum
- Section of Hospital Medicine, Department of Internal Medicine, Virginia Commonwealth University, Richmond, Virginia, United States of America
| | - Gregory Buck
- Center for the Study of Biological Complexity, Virginia Commonwealth University, Richmond, Virginia, United States of America
- Department of Microbiology and Immunology, Virginia Commonwealth University, Richmond, Virginia, United States of America
| | - Michael Neale
- Departments of Psychiatry and Human & Molecular Genetics, Virginia Commonwealth University, Richmond, Virginia, United States of America
| | - Amir Toor
- Bone Marrow Transplant Program, Department of Internal Medicine, Massey Cancer Center, Virginia Commonwealth University, Richmond, Virginia, United States of America
- * E-mail:
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12
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Toor AA, Kobulnicky JD, Salman S, Roberts CH, Jameson-Lee M, Meier J, Scalora A, Sheth N, Koparde V, Serrano M, Buck GA, Clark WB, McCarty JM, Chung HM, Manjili MH, Sabo RT, Neale MC. Stem cell transplantation as a dynamical system: are clinical outcomes deterministic? Front Immunol 2014; 5:613. [PMID: 25520720 PMCID: PMC4253954 DOI: 10.3389/fimmu.2014.00613] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2014] [Accepted: 11/14/2014] [Indexed: 12/22/2022] Open
Abstract
Outcomes in stem cell transplantation (SCT) are modeled using probability theory. However, the clinical course following SCT appears to demonstrate many characteristics of dynamical systems, especially when outcomes are considered in the context of immune reconstitution. Dynamical systems tend to evolve over time according to mathematically determined rules. Characteristically, the future states of the system are predicated on the states preceding them, and there is sensitivity to initial conditions. In SCT, the interaction between donor T cells and the recipient may be considered as such a system in which, graft source, conditioning, and early immunosuppression profoundly influence immune reconstitution over time. This eventually determines clinical outcomes, either the emergence of tolerance or the development of graft versus host disease. In this paper, parallels between SCT and dynamical systems are explored and a conceptual framework for developing mathematical models to understand disparate transplant outcomes is proposed.
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Affiliation(s)
- Amir A Toor
- Stem Cell Transplant Program, Department of Internal Medicine, Massey Cancer Center, Virginia Commonwealth University , Richmond, VA , USA
| | - Jared D Kobulnicky
- Stem Cell Transplant Program, Department of Internal Medicine, Massey Cancer Center, Virginia Commonwealth University , Richmond, VA , USA
| | - Salman Salman
- Stem Cell Transplant Program, Department of Internal Medicine, Massey Cancer Center, Virginia Commonwealth University , Richmond, VA , USA
| | - Catherine H Roberts
- Stem Cell Transplant Program, Department of Internal Medicine, Massey Cancer Center, Virginia Commonwealth University , Richmond, VA , USA
| | - Max Jameson-Lee
- Stem Cell Transplant Program, Department of Internal Medicine, Massey Cancer Center, Virginia Commonwealth University , Richmond, VA , USA
| | - Jeremy Meier
- Stem Cell Transplant Program, Department of Internal Medicine, Massey Cancer Center, Virginia Commonwealth University , Richmond, VA , USA
| | - Allison Scalora
- Stem Cell Transplant Program, Department of Internal Medicine, Massey Cancer Center, Virginia Commonwealth University , Richmond, VA , USA
| | - Nihar Sheth
- Center for the Study of Biological Complexity, Virginia Commonwealth University , Richmond, VA , USA
| | - Vishal Koparde
- Center for the Study of Biological Complexity, Virginia Commonwealth University , Richmond, VA , USA
| | - Myrna Serrano
- Center for the Study of Biological Complexity, Virginia Commonwealth University , Richmond, VA , USA
| | - Gregory A Buck
- Center for the Study of Biological Complexity, Virginia Commonwealth University , Richmond, VA , USA
| | - William B Clark
- Stem Cell Transplant Program, Department of Internal Medicine, Massey Cancer Center, Virginia Commonwealth University , Richmond, VA , USA
| | - John M McCarty
- Stem Cell Transplant Program, Department of Internal Medicine, Massey Cancer Center, Virginia Commonwealth University , Richmond, VA , USA
| | - Harold M Chung
- Stem Cell Transplant Program, Department of Internal Medicine, Massey Cancer Center, Virginia Commonwealth University , Richmond, VA , USA
| | - Masoud H Manjili
- Department of Microbiology and Immunology, Virginia Commonwealth University , Richmond, VA , USA
| | - Roy T Sabo
- Department of Biostatistics, Virginia Commonwealth University , Richmond, VA , USA
| | - Michael C Neale
- Department of Psychiatry and Statistical Genomics, Virginia Commonwealth University , Richmond, VA , USA
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13
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Jameson-Lee M, Koparde V, Griffith P, Scalora AF, Sampson JK, Khalid H, Sheth NU, Batalo M, Serrano MG, Roberts CH, Hess ML, Buck GA, Neale MC, Manjili MH, Toor AA. In silico Derivation of HLA-Specific Alloreactivity Potential from Whole Exome Sequencing of Stem-Cell Transplant Donors and Recipients: Understanding the Quantitative Immunobiology of Allogeneic Transplantation. Front Immunol 2014; 5:529. [PMID: 25414699 PMCID: PMC4222229 DOI: 10.3389/fimmu.2014.00529] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2014] [Accepted: 10/07/2014] [Indexed: 12/18/2022] Open
Abstract
Donor T-cell mediated graft versus host (GVH) effects may result from the aggregate alloreactivity to minor histocompatibility antigens (mHA) presented by the human leukocyte antigen (HLA) molecules in each donor–recipient pair undergoing stem-cell transplantation (SCT). Whole exome sequencing has previously demonstrated a large number of non-synonymous single nucleotide polymorphisms (SNP) present in HLA-matched recipients of SCT donors (GVH direction). The nucleotide sequence flanking each of these SNPs was obtained and the amino acid sequence determined. All the possible nonameric peptides incorporating the variant amino acid resulting from these SNPs were interrogated in silico for their likelihood to be presented by the HLA class I molecules using the Immune Epitope Database stabilized matrix method (SMM) and NetMHCpan algorithms. The SMM algorithm predicted that a median of 18,396 peptides weakly bound HLA class I molecules in individual SCT recipients, and 2,254 peptides displayed strong binding. A similar library of presented peptides was identified when the data were interrogated using the NetMHCpan algorithm. The bioinformatic algorithm presented here demonstrates that there may be a high level of mHA variation in HLA-matched individuals, constituting a HLA-specific alloreactivity potential.
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Affiliation(s)
- Max Jameson-Lee
- Stem Cell Transplant Program, Massey Cancer Center, Virginia Commonwealth University , Richmond, VA , USA
| | - Vishal Koparde
- The Center for the Study of Biological Complexity, Virginia Commonwealth University , Richmond, VA , USA
| | - Phil Griffith
- Stem Cell Transplant Program, Massey Cancer Center, Virginia Commonwealth University , Richmond, VA , USA
| | - Allison F Scalora
- Stem Cell Transplant Program, Massey Cancer Center, Virginia Commonwealth University , Richmond, VA , USA
| | - Juliana K Sampson
- The Center for the Study of Biological Complexity, Virginia Commonwealth University , Richmond, VA , USA
| | - Haniya Khalid
- Stem Cell Transplant Program, Massey Cancer Center, Virginia Commonwealth University , Richmond, VA , USA
| | - Nihar U Sheth
- The Center for the Study of Biological Complexity, Virginia Commonwealth University , Richmond, VA , USA
| | - Michael Batalo
- Stem Cell Transplant Program, Massey Cancer Center, Virginia Commonwealth University , Richmond, VA , USA
| | - Myrna G Serrano
- The Center for the Study of Biological Complexity, Virginia Commonwealth University , Richmond, VA , USA
| | - Catherine H Roberts
- Stem Cell Transplant Program, Massey Cancer Center, Virginia Commonwealth University , Richmond, VA , USA
| | - Michael L Hess
- Department of Internal Medicine, Virginia Commonwealth University , Richmond, VA , USA
| | - Gregory A Buck
- The Center for the Study of Biological Complexity, Virginia Commonwealth University , Richmond, VA , USA
| | - Michael C Neale
- Department of Psychiatry and Statistical Genomics, Virginia Commonwealth University , Richmond, VA , USA
| | - Masoud H Manjili
- Department of Microbiology and Immunology, Virginia Commonwealth University , Richmond, VA , USA
| | - Amir Ahmed Toor
- Stem Cell Transplant Program, Massey Cancer Center, Virginia Commonwealth University , Richmond, VA , USA
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14
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Hariprasad VR, Koparde V, Sivakumar PT, Varambally S, Thirthalli J, Varghese M, Basavaraddi IV, Gangadhar BN. Randomized clinical trial of yoga-based intervention in residents from elderly homes: Effects on cognitive function. Indian J Psychiatry 2013; 55:S357-63. [PMID: 24049199 PMCID: PMC3768212 DOI: 10.4103/0019-5545.116308] [Citation(s) in RCA: 43] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
CONTEXT Elderly have increased risk for cognitive impairment and dementia. Yoga therapy may be helpful in elderly to improve cognitive function. AIMS We examined the benefits of yoga-based intervention compared with waitlist control group on cognitive function in the residents of elderly homes. SETTINGS AND DESIGN Single blind controlled study with block randomization of elderly homes. MATERIALS AND METHODS Study sample included yoga group (n=62) and waitlist group (n=58). A total of 87 subjects (yoga=44, waitlist=43) completed the study period of 6 months. Yoga group received daily yoga sessions for 1 month, weekly until 3(rd) month and encouraged to continue unsupervised until 6 months. They were assessed on Rey's Auditory Verbal Learning Test (RAVLT), Rey's complex figure test (CFT), Wechsler's Memory Scale (WMS)-digit and spatial span, Controlled Oral Word Association (COWA) test, Stroop Color Word Interference Test and Trail Making Test A and B at baseline and at the end of 6(th) month. STATISTICAL ANALYSIS Paired t-test and analysis of covariance (ANCOVA) to compare the difference in neuropsychological test scores. RESULTS Yoga group showed significant improvement in immediate and delayed recall of verbal (RAVLT) and visual memory (CFT), attention and working memory (WMS-spatial span), verbal fluency (COWA), executive function (Stroop interference) and processing speed (Trail Making Test-A) than waitlist group at the end of 6 months after correcting for corresponding baseline score and education. CONCLUSION Yoga based-intervention appears beneficial to improve several domains of cognitive function in elderly living in residential care homes. Study findings need to be interpreted after considering methodological limitations like lack of active comparison group.
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Affiliation(s)
- V R Hariprasad
- Department of Psychiatry, Advanced Centre for Yoga, National Institute of Mental Health and Neurosciences, Bangalore, Karnataka, India
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15
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Hariprasad VR, Sivakumar PT, Koparde V, Varambally S, Thirthalli J, Varghese M, Basavaraddi IV, Gangadhar BN. Effects of yoga intervention on sleep and quality-of-life in elderly: A randomized controlled trial. Indian J Psychiatry 2013; 55:S364-8. [PMID: 24049200 PMCID: PMC3768213 DOI: 10.4103/0019-5545.116310] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
CONTEXT Yoga as a life-style practice has demonstrated beneficial effects. The role of yoga in the elderly for such benefits merits investigation. AIMS The aim of this study is to examine the effects of yoga intervention on quality-of-life (QOL) and sleep quality in the elderly living in old age homes. SETTINGS AND DESIGN Single blind controlled study with block randomization of elderly homes. MATERIALS AND METHODS A total of 120 subjects from nine elderly homes were randomized in to yoga group (n=62) and waitlist group (n=58). Subjects in the yoga group were given yoga intervention daily for 1 month and weekly until 3 months and were encouraged to practice yoga without supervision until for 6 months. Subjects in waitlist group received no intervention during this period. Subjects were evaluated with World Health Organization Quality of Life (WHOQOL)-BREF for measuring QOL and Pittsburgh Sleep Quality Index for sleep quality in the baseline and after 6 months. STATISTICAL ANALYSIS Independent t-test and repeated measures analysis of covariance respectively was used to measure the difference in outcome measures between the two groups at baseline and after the study period. RESULTS Subjects in the yoga group had significantly higher number of years of formal education. Subjects in the yoga group had significant improvement in all the domains of QOL and total sleep quality after controlling for the effect of baseline difference in education between the two groups. CONCLUSION Yoga intervention appears to improve the QOL and sleep quality of elderly living in old age homes. There is a need for further studies overcoming the limitations in this study to confirm the benefits of yoga for elderly in QOL and sleep quality.
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Affiliation(s)
- V R Hariprasad
- Department of Psychiatry, Advanced Centre for Yoga, National Institute of Mental Health and Neurosciences, Bangalore, Karnataka, India
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