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Patel JR, Joel MZ, Lee KK, Kambala A, Cornman H, Oladipo O, Taylor M, Imo BU, Ma EZ, Manjunath J, Kollhoff AL, Deng J, Parthasarathy V, Cravero K, Marani M, Szeto M, Zhao R, Sankararaman S, Li R, Henry S, Pritchard T, Rebecca V, Kwatra MM, Ho WJ, Dong X, Kang S, Kwatra SG. Single-Cell RNA Sequencing Reveals Dysregulated POSTN+WNT5A+ Fibroblast Subclusters in Prurigo Nodularis. J Invest Dermatol 2024; 144:1568-1578.e5. [PMID: 38246584 DOI: 10.1016/j.jid.2023.12.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 12/17/2023] [Accepted: 12/27/2023] [Indexed: 01/23/2024]
Abstract
Prurigo nodularis (PN) is an intensely pruritic, inflammatory skin disease with a poorly understood pathogenesis. We performed single-cell transcriptomic profiling of 28,695 lesional and nonlesional PN cells. Lesional PN has increased dysregulated fibroblasts (FBs) and myofibroblasts. FBs in lesional PN were shifted toward a cancer-associated FB-like phenotype, with POSTN+WNT5A+ cancer-associated FBs increased in PN and similarly so in squamous cell carcinoma. A multicenter cohort study revealed an increased risk of squamous cell carcinoma and cancer-associated FB-associated malignancies (breast and colorectal) in patients with PN. Systemic fibroproliferative diseases (renal sclerosis and idiopathic pulmonary fibrosis) were upregulated in patients with PN. Ligand-receptor analyses demonstrated an FB neuronal axis with FB-derived WNT5A and periostin interactions with neuronal receptors melanoma cell adhesion molecule and ITGAV. These findings identify a pathogenic and targetable POSTN+WNT5A+ FB subpopulation that may predispose cancer-associated FB-associated malignancies in patients with PN.
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Affiliation(s)
- Jay R Patel
- Department of Dermatology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Marina Z Joel
- Department of Dermatology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Kevin K Lee
- Department of Dermatology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Anusha Kambala
- Department of Dermatology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Hannah Cornman
- Department of Dermatology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Olusola Oladipo
- Department of Dermatology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Matthew Taylor
- Department of Dermatology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Brenda Umenita Imo
- Department of Dermatology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Emily Z Ma
- Department of Dermatology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Jaya Manjunath
- Department of Dermatology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Alexander L Kollhoff
- Department of Dermatology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - June Deng
- Department of Dermatology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Varsha Parthasarathy
- Department of Dermatology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Karen Cravero
- Department of Dermatology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Melika Marani
- Department of Dermatology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Mindy Szeto
- Department of Dermatology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Ryan Zhao
- Department of Dermatology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Sreenidhi Sankararaman
- Department of Dermatology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Ruixiang Li
- Department of Dermatology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Shanae Henry
- Department of Dermatology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Thomas Pritchard
- Department of Dermatology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Vito Rebecca
- Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
| | - Madan M Kwatra
- Department of Anesthesiology, Duke University School of Medicine, Durham, North Carolina, USA; Department of Pharmacology & Cancer Biology, Duke University School of Medicine, Durham, North Carolina, USA
| | - Won Jin Ho
- The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; Bloomberg-Kimmel Institute for Cancer Immunotherapy, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Xinzhong Dong
- The Solomon H. Snyder Department of Neuroscience, Center for Sensory Biology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; Howard Hughes Medical Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Sewon Kang
- Department of Dermatology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Shawn G Kwatra
- Department of Dermatology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
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Patel JR, Joel MZ, Lee KK, Kambala A, Cornman H, Oladipo O, Taylor M, Deng J, Parthasarathy V, Cravero K, Marani M, Zhao R, Sankararam S, Li R, Pritchard T, Rebecca V, Kwatra MM, Ho WJ, Dong X, Kang S, Kwatra SG. Single-cell RNA sequencing reveals dysregulated fibroblast subclusters in prurigo nodularis. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.01.29.526050. [PMID: 36778229 PMCID: PMC9915465 DOI: 10.1101/2023.01.29.526050] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
Prurigo nodularis (PN) is an intensely pruritic, chronic inflammatory skin disease that disproportionately affects black patients. However, the pathogenesis of PN is poorly understood. We performed single-cell transcriptomic profiling, ligand receptor analysis and cell trajectory analysis of 28,695 lesional and non-lesional PN skin cells to uncover disease-identifying cell compositions and genetic characteristics. We uncovered a dysregulated role for fibroblasts (FBs) and myofibroblasts as a key pathogenic element in PN, which were significantly increased in PN lesional skin. We defined seven unique subclusters of FBs in PN skin and observed a shift of PN lesional FBs towards a cancer-associated fibroblast (CAF)-like phenotype, with WNT5A+ CAFs increased in the skin of PN patients and similarly so in squamous cell carcinoma (SCC). A multicenter PN cohort study subsequently revealed an increased risk of SCC as well as additional CAF-associated malignancies in PN patients, including breast and colorectal cancers. Systemic fibroproliferative diseases were also upregulated in PN patients, including renal sclerosis and idiopathic pulmonary fibrosis. Ligand receptor analyses demonstrated increased FB1-derived WNT5A and periostin interactions with neuronal receptors MCAM and ITGAV, suggesting a fibroblast-neuronal axis in PN. Type I IFN responses in immune cells and increased angiogenesis/permeability in endothelial cells were also observed. As compared to atopic dermatitis (AD) and psoriasis (PSO) patients, increased mesenchymal dysregulation is unique to PN with an intermediate Th2/Th17 phenotype between atopic dermatitis and psoriasis. These findings identify a pathogenic role for CAFs in PN, including a novel targetable WNT5A+ fibroblast subpopulation and CAF-associated malignancies in PN patients.
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Affiliation(s)
- Jay R. Patel
- Department of Dermatology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Marina Z. Joel
- Department of Dermatology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Kevin K. Lee
- Department of Dermatology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Anusha Kambala
- Department of Dermatology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Hannah Cornman
- Department of Dermatology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Olusola Oladipo
- Department of Dermatology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Matthew Taylor
- Department of Dermatology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - June Deng
- Department of Dermatology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Varsha Parthasarathy
- Department of Dermatology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Karen Cravero
- Department of Dermatology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Melika Marani
- Department of Dermatology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Ryan Zhao
- Department of Dermatology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Sreenidhi Sankararam
- Department of Dermatology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Ruixiang Li
- Department of Dermatology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Thomas Pritchard
- Department of Dermatology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Vito Rebecca
- Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Madan M. Kwatra
- Department of Anesthesiology, Duke University School of Medicine, Durham, NC, USA
- Department of Pharmacology and Cancer Biology, Duke University School of Medicine, Durham, NC, USA
| | - Won Jin Ho
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Bloomberg-Kimmel Institute for Cancer Immunotherapy, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Xinzhong Dong
- The Solomon H. Snyder Department of Neuroscience, Center for Sensory Biology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Howard Hughes Medical Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Sewon Kang
- Department of Dermatology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Shawn G. Kwatra
- Department of Dermatology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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Proteomic approaches to investigate gammaherpesvirus biology and associated tumorigenesis. Adv Virus Res 2020; 109:201-254. [PMID: 33934828 DOI: 10.1016/bs.aivir.2020.10.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
The DNA viruses, Kaposi's sarcoma-associated herpesvirus (KSHV) and Epstein-Barr virus (EBV), are members of the gammaherpesvirus subfamily, a group of viruses whose infection is associated with multiple malignancies, including cancer. The primary host for these viruses is humans and, like all herpesviruses, infection with these pathogens is lifelong. Due to the persistence of gammaherpesvirus infection and the potential for cancer formation in infected individuals, there is a driving need to understand not only the biology of these viruses and how they remain undetected in host cells but also the mechanism(s) by which tumorigenesis occurs. One of the methods that has provided much insight into these processes is proteomics. Proteomics is the study of all the proteins that are encoded by a genome and allows for (i) identification of existing and novel proteins derived from a given genome, (ii) interrogation of protein-protein interactions within a system, and (iii) discovery of druggable targets for the treatment of malignancies. In this chapter, we explore how proteomics has contributed to our current understanding of gammaherpesvirus biology and their oncogenic processes, as well as the clinical applications of proteomics for the detection and treatment of gammaherpesvirus-associated cancers.
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Lopez-Rincon A, Mendoza-Maldonado L, Martinez-Archundia M, Schönhuth A, Kraneveld AD, Garssen J, Tonda A. Machine Learning-Based Ensemble Recursive Feature Selection of Circulating miRNAs for Cancer Tumor Classification. Cancers (Basel) 2020; 12:cancers12071785. [PMID: 32635415 PMCID: PMC7407482 DOI: 10.3390/cancers12071785] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Revised: 06/25/2020] [Accepted: 06/29/2020] [Indexed: 02/07/2023] Open
Abstract
Circulating microRNAs (miRNA) are small noncoding RNA molecules that can be detected in bodily fluids without the need for major invasive procedures on patients. miRNAs have shown great promise as biomarkers for tumors to both assess their presence and to predict their type and subtype. Recently, thanks to the availability of miRNAs datasets, machine learning techniques have been successfully applied to tumor classification. The results, however, are difficult to assess and interpret by medical experts because the algorithms exploit information from thousands of miRNAs. In this work, we propose a novel technique that aims at reducing the necessary information to the smallest possible set of circulating miRNAs. The dimensionality reduction achieved reflects a very important first step in a potential, clinically actionable, circulating miRNA-based precision medicine pipeline. While it is currently under discussion whether this first step can be taken, we demonstrate here that it is possible to perform classification tasks by exploiting a recursive feature elimination procedure that integrates a heterogeneous ensemble of high-quality, state-of-the-art classifiers on circulating miRNAs. Heterogeneous ensembles can compensate inherent biases of classifiers by using different classification algorithms. Selecting features then further eliminates biases emerging from using data from different studies or batches, yielding more robust and reliable outcomes. The proposed approach is first tested on a tumor classification problem in order to separate 10 different types of cancer, with samples collected over 10 different clinical trials, and later is assessed on a cancer subtype classification task, with the aim to distinguish triple negative breast cancer from other subtypes of breast cancer. Overall, the presented methodology proves to be effective and compares favorably to other state-of-the-art feature selection methods.
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Affiliation(s)
- Alejandro Lopez-Rincon
- Division of Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Faculty of Science, Utrecht University, Universiteitsweg 99, 3584 CG Utrecht, The Netherlands; (A.D.K.); (J.G.)
- Correspondence:
| | - Lucero Mendoza-Maldonado
- Nuevo Hospital Civil de Guadalajara “Dr. Juan I. Menchaca”, Salvador Quevedo y Zubieta 750, Independencia Oriente, Guadalajara C.P. 44340, Jalisco, Mexico;
| | - Marlet Martinez-Archundia
- Laboratorio de Modelado Molecular, Bioinformática y Diseno de farmacos, Seccion de Estudios de Posgrado e Investigación, Escuela Superior de Medicina, Instituto Politécnico Nacional, Mexico City 11340, Mexico;
| | - Alexander Schönhuth
- Life Sciences and Health, Centrum Wiskunde & Informatica, Science Park 123, 1098 XG Amsterdam, The Netherlands;
- Genome Data Science, Faculty of Technology, Bielefeld University, Universitätsstraße 25, 33615 Bielefeld, Germany
| | - Aletta D. Kraneveld
- Division of Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Faculty of Science, Utrecht University, Universiteitsweg 99, 3584 CG Utrecht, The Netherlands; (A.D.K.); (J.G.)
| | - Johan Garssen
- Division of Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Faculty of Science, Utrecht University, Universiteitsweg 99, 3584 CG Utrecht, The Netherlands; (A.D.K.); (J.G.)
- Global Centre of Excellence Immunology Danone Nutricia Research, Uppsalaan 12, 3584 CT Utrecht, The Netherlands
| | - Alberto Tonda
- UMR 518 MIA-Paris, INRAE, Université Paris-Saclay, 75013 Paris, France;
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Yang Y, Wang X, Yang J, Duan J, Wu Z, Yang F, Zhang X, Xiao S. Loss of ARID1A promotes proliferation, migration and invasion via the Akt signaling pathway in NPC. Cancer Manag Res 2019; 11:4931-4946. [PMID: 31213911 PMCID: PMC6549766 DOI: 10.2147/cmar.s207329] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2019] [Accepted: 05/10/2019] [Indexed: 12/12/2022] Open
Abstract
Background: AT-rich interactive domain-containing protein 1A (ARID1A) is a member of the switch/sucrose nonfermentable chromatin remodeling complex, which has been observed to be mutated in various tumors. The loss of ARID1A is reported to be frequently associated with PI3K/Akt pathway activation. Objective: The roles of ARID1A in nasopharyngeal carcinoma (NPC) have not been reported until now. The aim of this research was to explore the clinical significance and potential mechanism of ARID1A in NPC development and progression. Methods: ARID1A expression levels were investigated in human NPC tissues and cell lines. The effects of ARID1A knockdown on nasopharyngeal cancer cell proliferation, migration and invasion were evaluated in vitro using CCK8, wound healing, transwell and flow cytometry assays. The expression of relevant proteins was evaluated by Western blot assays. Results: In this study, ARID1A was significantly downregulated in NPC tissues and cells. Furthermore, low ARID1A expression was significantly associated with aggressive clinicopathological characteristics and poor survival in NPC patients. Depletion of endogenous ARID1A by siRNA promoted proliferation, migration and invasion in CNE1 and HNE1 cells. Additionally, ARID1A knockdown increased the phosphorylation of Akt in NPC cells. High levels of p-Akt were also observed in NPC biopsies and correlated with ARID1A downregulation. These results imply that the loss of ARID1A could activate Akt signaling. In addition, MK-2206 (a highly selective inhibitor of Akt) partially suppressed NPC cell proliferation, migration and invasion, which were induced by ARID1A knockdown. Conclusion: Our findings indicate that ARID1A plays an essential role in modulating the Akt pathway, functions as a tumor suppressor in NPC and may be a potential target for NPC treatment.
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Affiliation(s)
- Yang Yang
- Department of Pathology, the Second Affiliated Hospital, Guilin Medical University, Guilin 541199, People's Republic of China
| | - Xiaoyu Wang
- Department of Pathology, the Second Affiliated Hospital, Guilin Medical University, Guilin 541199, People's Republic of China
| | - Junjun Yang
- Department of Stomatology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430000, People's Republic of China
| | - Jingling Duan
- Department of Pathology, the Second Affiliated Hospital, Guilin Medical University, Guilin 541199, People's Republic of China
| | - Zhen Wu
- Xiangya Medical College of South Central University, Changsha 413000, People's Republic of China
| | - Fan Yang
- Department of Pathology, the Second Affiliated Hospital, Guilin Medical University, Guilin 541199, People's Republic of China
| | - Xiaoling Zhang
- Department of Physiology, Faculty of Basic Medical Science, Guilin Medical University, Guilin 541199, People's Republic of China
| | - Shengjun Xiao
- Department of Pathology, the Second Affiliated Hospital, Guilin Medical University, Guilin 541199, People's Republic of China
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Cai L, Brophy RH, Tycksen ED, Duan X, Nunley RM, Rai MF. Distinct expression pattern of periostin splice variants in chondrocytes and ligament progenitor cells. FASEB J 2019; 33:8386-8405. [PMID: 30991832 DOI: 10.1096/fj.201802281r] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Periostin (POSTN), a secretory matricellular matrix protein, plays a multitude of biologic functions. Various splice variants of POSTN have been described; however, their expression pattern and functional implications are not completely understood. This study was undertaken to decipher the differential expression pattern of POSTN and its splice variants in various tissues and cell types. We show that POSTN was more highly expressed in anterior cruciate ligament (ACL) remnants compared with articular cartilage at the cellular and tissue level. Isoforms 1 and 8 were highly expressed only in articular chondrocytes, suggesting their splice-specific regulation in chondrocytes. To discern the role of total POSTN and full-length human POSTN isoform 1 (hPOSTN-001), we stably transfected human chondrosarcoma 1 (hCh-1) cell line with hPOSTN-001 using a pcDNA3.1-hPOSTN-001 construct. RNA-sequencing analysis of hCh-1 cells identified differentially expressed genes with a known role in chondrocyte function and osteoarthritis. Similar expression of a subset of candidate genes was revealed in ACL progenitor cells and chondrocytes as well as in ACL progenitor cells in which POSTN activity was altered by overexpression and by small interfering RNA gene knockdown. Cells expressing total POSTN, not isoform 1, exhibited increased cell adhesion potential. These findings suggest an important role for POSTN in the knee.-Cai, L., Brophy, R. H., Tycksen, E. D., Duan, X., Nunley, R. M., Rai, M. F. Distinct expression pattern of periostin splice variants in chondrocytes and ligament progenitor cells.
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Affiliation(s)
- Lei Cai
- Department of Orthopaedic Surgery, Musculoskeletal Research Center, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Robert H Brophy
- Department of Orthopaedic Surgery, Musculoskeletal Research Center, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Eric D Tycksen
- Genome Technology Access Center, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Xin Duan
- Department of Orthopaedic Surgery, Musculoskeletal Research Center, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Ryan M Nunley
- Department of Orthopaedic Surgery, Musculoskeletal Research Center, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Muhammad Farooq Rai
- Department of Orthopaedic Surgery, Musculoskeletal Research Center, Washington University School of Medicine, St. Louis, Missouri, USA.,Department of Cell Biology and Physiology, Washington University School of Medicine, St. Louis, Missouri, USA
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