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Xing Z, Xu Y, Xu X, Yang K, Qin S, Jiao Y, Wang L. Identification and validation of a novel risk model based on cuproptosis‑associated m6A for head and neck squamous cell carcinoma. BMC Med Genomics 2024; 17:137. [PMID: 38778403 PMCID: PMC11110395 DOI: 10.1186/s12920-024-01916-5] [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: 02/29/2024] [Accepted: 05/17/2024] [Indexed: 05/25/2024] Open
Abstract
BACKGROUND Head and neck squamous cell carcinoma (HNSCC) is a prevalent cancer with a poor survival rate due to anatomical limitations of the head and a lack of reliable biomarkers. Cuproptosis represents a novel cellular regulated death pathway, and N6-methyladenosine (m6A) is the most common internal RNA modification in mRNA. They are intricately connected to tumor formation, progression, and prognosis. This study aimed to construct a risk model for HNSCC using a set of mRNAs associated with m6A regulators and cuproptosis genes (mcrmRNA). METHODS RNA-seq and clinical data of HNSCC patients from The Cancer Genome Atlas (TCGA) database were analyzed to develop a risk model through the least absolute shrinkage and selection operator (LASSO) analysis. Survival analysis and receiver operating characteristic (ROC) analysis were performed for the high- and low-risk groups. Additionally, the model was validated using the GSE41613 dataset from the Gene Expression Omnibus (GEO) database. GSEA and CIBERSORT were applied to investigate the immune microenvironment of HNSCC. RESULTS A risk model consisting of 32 mcrmRNA was developed using the LASSO analysis. The risk score of patients was confirmed to be an independent prognostic indicator by multivariate Cox analysis. The high-risk group exhibited a higher tumor mutation burden. Additionally, CIBERSORT analysis indicated varying levels of immune cell infiltration between the two groups. Significant disparities in drug sensitivity to common medications were also observed. Enrichment analysis further unveiled significant differences in metabolic pathways and RNA processing between the two groups. CONCLUSIONS Our risk model can predict outcomes for HNSCC patients and offers valuable insights for personalized therapeutic approaches.
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Affiliation(s)
- Zhongxu Xing
- Department of Radiation Oncology, The First Affiliated Hospital of Soochow University, Suzhou, 21500, China
| | - Yijun Xu
- Department of Radiation Oncology, The First Affiliated Hospital of Soochow University, Suzhou, 21500, China
| | - Xiaoyan Xu
- Department of Radiation Oncology, The First Affiliated Hospital of Soochow University, Suzhou, 21500, China
| | - Kaiwen Yang
- Department of Radiation Oncology, The First Affiliated Hospital of Soochow University, Suzhou, 21500, China
| | - Songbing Qin
- Department of Radiation Oncology, The First Affiliated Hospital of Soochow University, Suzhou, 21500, China
| | - Yang Jiao
- State Key Laboratory of Radiation Medicine and Protection, School of Radiation Medicine and Protection, Collaborative Innovation Center of Radiological Medicine of Jiangsu Higher Education Institutions, Soochow University, Suzhou, 215123, China.
| | - Lili Wang
- Department of Radiation Oncology, The First Affiliated Hospital of Soochow University, Suzhou, 21500, China.
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Gomez F, Fisk B, McMichael JF, Mosior M, Foltz JA, Skidmore ZL, Duncavage EJ, Miller CA, Abel H, Li YS, Russler-Germain DA, Krysiak K, Watkins MP, Ramirez CA, Schmidt A, Martins Rodrigues F, Trani L, Khanna A, Wagner JA, Fulton RS, Fronick CC, O'Laughlin MD, Schappe T, Cashen AF, Mehta-Shah N, Kahl BS, Walker J, Bartlett NL, Griffith M, Fehniger TA, Griffith OL. Ultra-Deep Sequencing Reveals the Mutational Landscape of Classical Hodgkin Lymphoma. CANCER RESEARCH COMMUNICATIONS 2023; 3:2312-2330. [PMID: 37910143 PMCID: PMC10648575 DOI: 10.1158/2767-9764.crc-23-0140] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 07/27/2023] [Accepted: 10/24/2023] [Indexed: 11/03/2023]
Abstract
The malignant Hodgkin and Reed Sternberg (HRS) cells of classical Hodgkin lymphoma (cHL) are scarce in affected lymph nodes, creating a challenge to detect driver somatic mutations. As an alternative to cell purification techniques, we hypothesized that ultra-deep exome sequencing would allow genomic study of HRS cells, thereby streamlining analysis and avoiding technical pitfalls. To test this, 31 cHL tumor/normal pairs were exome sequenced to approximately 1,000× median depth of coverage. An orthogonal error-corrected sequencing approach verified >95% of the discovered mutations. We identified mutations in genes novel to cHL including: CDH5 and PCDH7, novel stop gain mutations in IL4R, and a novel pattern of recurrent mutations in pathways regulating Hippo signaling. As a further application of our exome sequencing, we attempted to identify expressed somatic single-nucleotide variants (SNV) in single-nuclei RNA sequencing (snRNA-seq) data generated from a patient in our cohort. Our snRNA analysis identified a clear cluster of cells containing a somatic SNV identified in our deep exome data. This cluster has differentially expressed genes that are consistent with genes known to be dysregulated in HRS cells (e.g., PIM1 and PIM3). The cluster also contains cells with an expanded B-cell clonotype further supporting a malignant phenotype. This study provides proof-of-principle that ultra-deep exome sequencing can be utilized to identify recurrent mutations in HRS cells and demonstrates the feasibility of snRNA-seq in the context of cHL. These studies provide the foundation for the further analysis of genomic variants in large cohorts of patients with cHL. SIGNIFICANCE Our data demonstrate the utility of ultra-deep exome sequencing in uncovering somatic variants in Hodgkin lymphoma, creating new opportunities to define the genes that are recurrently mutated in this disease. We also show for the first time the successful application of snRNA-seq in Hodgkin lymphoma and describe the expression profile of a putative cluster of HRS cells in a single patient.
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Affiliation(s)
- Felicia Gomez
- Department of Medicine, Division of Oncology, Washington University School of Medicine, St Louis, Missouri
- McDonnell Genome Institute, Department of Medicine, Washington University School of Medicine, St Louis, Missouri
- Siteman Cancer Center, Washington University School of Medicine, St Louis, Missouri
| | - Bryan Fisk
- Department of Medicine, Division of Oncology, Washington University School of Medicine, St Louis, Missouri
- McDonnell Genome Institute, Department of Medicine, Washington University School of Medicine, St Louis, Missouri
| | - Joshua F. McMichael
- McDonnell Genome Institute, Department of Medicine, Washington University School of Medicine, St Louis, Missouri
| | - Matthew Mosior
- Department of Medicine, Division of Oncology, Washington University School of Medicine, St Louis, Missouri
- McDonnell Genome Institute, Department of Medicine, Washington University School of Medicine, St Louis, Missouri
| | - Jennifer A. Foltz
- Department of Medicine, Division of Oncology, Washington University School of Medicine, St Louis, Missouri
| | - Zachary L. Skidmore
- Department of Medicine, Division of Oncology, Washington University School of Medicine, St Louis, Missouri
- McDonnell Genome Institute, Department of Medicine, Washington University School of Medicine, St Louis, Missouri
| | - Eric J. Duncavage
- Department of Pathology and Immunology, Washington University School of Medicine, St Louis, Missouri
| | - Christopher A. Miller
- Department of Medicine, Division of Oncology, Washington University School of Medicine, St Louis, Missouri
- McDonnell Genome Institute, Department of Medicine, Washington University School of Medicine, St Louis, Missouri
| | - Haley Abel
- Department of Medicine, Division of Oncology, Washington University School of Medicine, St Louis, Missouri
- McDonnell Genome Institute, Department of Medicine, Washington University School of Medicine, St Louis, Missouri
| | - Yi-Shan Li
- Department of Pathology and Immunology, Washington University School of Medicine, St Louis, Missouri
| | - David A. Russler-Germain
- Department of Medicine, Division of Oncology, Washington University School of Medicine, St Louis, Missouri
| | - Kilannin Krysiak
- Department of Medicine, Division of Oncology, Washington University School of Medicine, St Louis, Missouri
- McDonnell Genome Institute, Department of Medicine, Washington University School of Medicine, St Louis, Missouri
- Siteman Cancer Center, Washington University School of Medicine, St Louis, Missouri
- Department of Pathology and Immunology, Washington University School of Medicine, St Louis, Missouri
| | - Marcus P. Watkins
- Department of Medicine, Division of Oncology, Washington University School of Medicine, St Louis, Missouri
| | - Cody A. Ramirez
- Department of Medicine, Division of Oncology, Washington University School of Medicine, St Louis, Missouri
- McDonnell Genome Institute, Department of Medicine, Washington University School of Medicine, St Louis, Missouri
| | - Alina Schmidt
- Department of Medicine, Division of Oncology, Washington University School of Medicine, St Louis, Missouri
- McDonnell Genome Institute, Department of Medicine, Washington University School of Medicine, St Louis, Missouri
| | - Fernanda Martins Rodrigues
- Department of Medicine, Division of Oncology, Washington University School of Medicine, St Louis, Missouri
- McDonnell Genome Institute, Department of Medicine, Washington University School of Medicine, St Louis, Missouri
| | - Lee Trani
- McDonnell Genome Institute, Department of Medicine, Washington University School of Medicine, St Louis, Missouri
| | - Ajay Khanna
- Department of Medicine, Division of Oncology, Washington University School of Medicine, St Louis, Missouri
| | - Julia A. Wagner
- Department of Medicine, Division of Oncology, Washington University School of Medicine, St Louis, Missouri
| | - Robert S. Fulton
- McDonnell Genome Institute, Department of Medicine, Washington University School of Medicine, St Louis, Missouri
| | - Catrina C. Fronick
- McDonnell Genome Institute, Department of Medicine, Washington University School of Medicine, St Louis, Missouri
| | - Michelle D. O'Laughlin
- McDonnell Genome Institute, Department of Medicine, Washington University School of Medicine, St Louis, Missouri
| | - Timothy Schappe
- Department of Medicine, Division of Oncology, Washington University School of Medicine, St Louis, Missouri
| | - Amanda F. Cashen
- Department of Medicine, Division of Oncology, Washington University School of Medicine, St Louis, Missouri
| | - Neha Mehta-Shah
- Department of Medicine, Division of Oncology, Washington University School of Medicine, St Louis, Missouri
| | - Brad S. Kahl
- Department of Medicine, Division of Oncology, Washington University School of Medicine, St Louis, Missouri
| | - Jason Walker
- McDonnell Genome Institute, Department of Medicine, Washington University School of Medicine, St Louis, Missouri
| | - Nancy L. Bartlett
- Department of Medicine, Division of Oncology, Washington University School of Medicine, St Louis, Missouri
| | - Malachi Griffith
- Department of Medicine, Division of Oncology, Washington University School of Medicine, St Louis, Missouri
- McDonnell Genome Institute, Department of Medicine, Washington University School of Medicine, St Louis, Missouri
- Siteman Cancer Center, Washington University School of Medicine, St Louis, Missouri
- Department of Genetics, Washington University School of Medicine, St Louis, Missouri
| | - Todd A. Fehniger
- Department of Medicine, Division of Oncology, Washington University School of Medicine, St Louis, Missouri
- Siteman Cancer Center, Washington University School of Medicine, St Louis, Missouri
| | - Obi L. Griffith
- Department of Medicine, Division of Oncology, Washington University School of Medicine, St Louis, Missouri
- McDonnell Genome Institute, Department of Medicine, Washington University School of Medicine, St Louis, Missouri
- Siteman Cancer Center, Washington University School of Medicine, St Louis, Missouri
- Department of Genetics, Washington University School of Medicine, St Louis, Missouri
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Noguchi S, Kajimoto T, Kumamoto T, Shingai M, Narasaki S, Urabe T, Imamura S, Harada K, Hide I, Tanaka S, Yanase Y, Nakamura SI, Tsutsumi YM, Sakai N. Features and mechanisms of propofol-induced protein kinase C (PKC) translocation and activation in living cells. Front Pharmacol 2023; 14:1284586. [PMID: 38026993 PMCID: PMC10662334 DOI: 10.3389/fphar.2023.1284586] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Accepted: 10/23/2023] [Indexed: 12/01/2023] Open
Abstract
Background and purpose: In this study, we aimed to elucidate the action mechanisms of propofol, particularly those underlying propofol-induced protein kinase C (PKC) translocation. Experimental approach: Various PKCs fused with green fluorescent protein (PKC-GFP) or other GFP-fused proteins were expressed in HeLa cells, and their propofol-induced dynamics were observed using confocal laser scanning microscopy. Propofol-induced PKC activation in cells was estimated using the C kinase activity receptor (CKAR), an indicator of intracellular PKC activation. We also examined PKC translocation using isomers and derivatives of propofol to identify the crucial structural motifs involved in this process. Key results: Propofol persistently translocated PKCα conventional PKCs and PKCδ from novel PKCs (nPKCs) to the plasma membrane (PM). Propofol translocated PKCδ and PKCη of nPKCs to the Golgi apparatus and endoplasmic reticulum, respectively. Propofol also induced the nuclear translocation of PKCζ of atypical PKCs or proteins other than PKCs, such that the protein concentration inside and outside the nucleus became uniform. CKAR analysis revealed that propofol activated PKC in the PM and Golgi apparatus. Moreover, tests using isomers and derivatives of propofol predicted that the structural motifs important for the induction of PKC and nuclear translocation are different. Conclusion and implications: Propofol induced the subtype-specific intracellular translocation of PKCs and activated PKCs. Additionally, propofol induced the nuclear translocation of PKCs and other proteins, probably by altering the permeability of the nuclear envelope. Interestingly, propofol-induced PKC and nuclear translocation may occur via different mechanisms. Our findings provide insights into the action mechanisms of propofol.
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Affiliation(s)
- Soma Noguchi
- Department of Molecular and Pharmacological Neuroscience, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Taketoshi Kajimoto
- Division of Biochemistry, Department of Biochemistry and Molecular Biology, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Takuya Kumamoto
- Department of Synthetic Organic Chemistry, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Masashi Shingai
- Department of Molecular and Pharmacological Neuroscience, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Soshi Narasaki
- Department of Molecular and Pharmacological Neuroscience, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
- Department of Anesthesiology and Critical Care, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Tomoaki Urabe
- Department of Molecular and Pharmacological Neuroscience, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
- Department of Anesthesiology and Critical Care, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Serika Imamura
- Department of Dental Anesthesiology, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Kana Harada
- Department of Molecular and Pharmacological Neuroscience, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Izumi Hide
- Department of Molecular and Pharmacological Neuroscience, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Sigeru Tanaka
- Department of Molecular and Pharmacological Neuroscience, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Yuhki Yanase
- Department of Pharmacotherapy, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Shun-Ichi Nakamura
- Division of Biochemistry, Department of Biochemistry and Molecular Biology, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Yasuo M. Tsutsumi
- Department of Anesthesiology and Critical Care, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Norio Sakai
- Department of Molecular and Pharmacological Neuroscience, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
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Landolt L, Spagnoli GC, Hertig A, Brocheriou I, Marti HP. Fibrosis and cancer: shared features and mechanisms suggest common targeted therapeutic approaches. Nephrol Dial Transplant 2020; 37:1024-1032. [PMID: 33280031 DOI: 10.1093/ndt/gfaa301] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2020] [Indexed: 12/17/2022] Open
Abstract
Epidemiological studies support a strong link between organ fibrosis and epithelial cancers. Moreover, clinical and experimental investigations consistently indicate that these diseases intertwine and share strikingly overlapping features. As a deregulated response to injury occurring in all body tissues, fibrosis is characterized by activation of fibroblasts and immune cells, contributing to progressive deposition of extracellular matrix (ECM) and inflammation. Cancers are driven by genetic alterations resulting in dysregulated cell survival, proliferation and dissemination. However, non-cancerous components of tumour tissues including fibroblasts, inflammatory cells and ECM play key roles in oncogenesis and cancer progression by providing a pro-mutagenic environment where cancer cells can develop, favouring their survival, expansion and invasiveness. Additional commonalities of fibrosis and cancer are also represented by overproduction of growth factors, like transforming growth factor β, epithelial-to-mesenchymal transition, high oxidative stress, Hippo pathway dysfunctions and enhanced cellular senescence. Here, we review advances in the analysis of cellular and molecular mechanisms involved in the pathogenesis of both organ fibrosis and cancer, with particular reference to chronic kidney diseases and renal cell cancers. Most importantly, improved understanding of common features is contributing to the development of innovative treatment strategies targeting shared mechanisms.
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Affiliation(s)
- Lea Landolt
- Department of Clinical Medicine, University of Bergen, Bergen, Norway.,Department of Medicine, Haukeland University Hospital, Bergen, Norway
| | - Giulio C Spagnoli
- National Research Council, Institute of Translational Pharmacology, Rome, Italy
| | - Alexandre Hertig
- Sorbonne Université, INSERM UMR S1155, Pitié-Salpêtrière Hospital, APHP6, Paris, France and
| | - Isabelle Brocheriou
- Sorbonne Université, INSERM UMR S1155, Pitié-Salpêtrière Hospital, APHP6, Paris, France and.,Department of Pathology, Pitié-Salpêtrière Hospital, Paris, France
| | - Hans-Peter Marti
- Department of Clinical Medicine, University of Bergen, Bergen, Norway.,Department of Medicine, Haukeland University Hospital, Bergen, Norway
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