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Wu Q, Li X, Long M, Xie X, Liu Q. Integrated analysis of histone lysine lactylation (Kla)-specific genes suggests that NR6A1, OSBP2 and UNC119B are novel therapeutic targets for hepatocellular carcinoma. Sci Rep 2023; 13:18642. [PMID: 37903971 PMCID: PMC10616101 DOI: 10.1038/s41598-023-46057-4] [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: 07/02/2023] [Accepted: 10/27/2023] [Indexed: 11/01/2023] Open
Abstract
Histone lysine lactylation (Kla) plays a vital role in the tumorigenesis of hepatocellular carcinoma (HCC). Hence, we focused on Kla-specific genes to select novel therapeutic targets. Differentially expressed Kla-specific genes (DEKlaGs) were identified from TCGA with the cut-off criteria |log2(FlodChange (FC))| > 2, p-value < 0.05, following investigating the prognostic value. The correlation between lactate accumulation and prognostic DEKlaGs expression was further investigated. On the other hand, we explored the roles of Kla activation in the immune microenvironment, immunotherapy, and drug resistance. We conducted gene set enrichment analysis (GSEA) to predict the pathways influenced by Kla. The predictive power of Cox model was further identified in ICGC and GEO databases. A total of 129 DEKlaGs were identified, and 32 molecules might be potential prognostic biomarkers. A Cox model including ARHGEF37, MTFR2, NR6A1, NT5DC2, OSBP2, RNASEH2A, SFN, and UNC119B was constructed, which suggested unfavorable overall survival in high-risk score group, and risk score could serve as an indicator for large tumor size, poor pathological grade and advanced stage. NR6A1, OSBP2 and UNC119B could inhibit NK cell as well as TIL cell infiltration, and impair Type-I and II IFN responses in HCC, thereby contributing to unsatisfactory prognosis and immunotherapy resistance. OSBP2 and UNC119B were identified to be related to chemotherapy resistance. GSEA showed that WNT, MTOR, MAPK and NOTCH signaling pathways were activated, indicating that these pathways might play a crucial role during the Kla process. On the other hand, we showed that NR6A1 and OSBP2 were overexpressed in GEO. OSBP2 and UNC119B contributed to poor survival and advanced stage in ICGC. In summary, histone Kla was related to HCC prognosis and might serve as an independent biomarker. NR6A1, OSBP2 and UNC119B were associated with the prognosis, immunotherapy, and chemotherapy resistance, suggesting that NR6A1, OSBP2 and UNC119B might be novel candidate therapeutic targets for HCC.
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Affiliation(s)
- Qinjuan Wu
- Department of Anesthesiology, Chengdu Second People's Hospital, Chengdu, China
| | - Xin Li
- Department of Pain, The Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, Luzhou, China
| | - Menghong Long
- Department of Anesthesiology, The Affiliated Hospital, Southwest Medical University, Luzhou, China
| | - Xianfeng Xie
- Department of Anesthesiology, Chengdu Second People's Hospital, Chengdu, China.
| | - Qing Liu
- Department of Pain, The Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, Luzhou, China.
- Department of Anesthesiology, The Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, Luzhou, China.
- Hejiang Traditional Chinese Medicine Hospital, Luzhou, China.
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2
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Wang W, Li X, Qin X, Miao Y, Zhang Y, Li S, Yao R, Yang Y, Yu L, Zhu H, Song L, Mao S, Wang X, Chen J, Feng H, Li Y. Germline Neurofibromin 1 mutation enhances the anti-tumour immune response and decreases juvenile myelomonocytic leukaemia tumourigenicity. Br J Haematol 2023. [PMID: 37144690 DOI: 10.1111/bjh.18851] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 04/10/2023] [Accepted: 04/25/2023] [Indexed: 05/06/2023]
Abstract
Juvenile myelomonocytic leukaemia (JMML) is an aggressive paediatric leukaemia characterized by mutations in five canonical RAS pathway genes, including the NF1 gene. JMML is driven by germline NF1 gene mutations, with additional somatic aberrations resulting in the NF1 biallelic inactivation, leading to disease progression. Germline mutations in the NF1 gene alone primarily cause benign neurofibromatosis type 1 (NF1) tumours rather than malignant JMML, yet the underlying mechanism remains unclear. Here, we demonstrate that with reduced NF1 gene dose, immune cells are promoted in anti-tumour immune response. Comparing the biological properties of JMML and NF1 patients, we found that not only JMML but also NF1 patients driven by NF1 mutations could increase monocytes generation. But monocytes cannot further malignant development in NF1 patients. Utilizing haematopoietic and macrophage differentiation from iPSCs, we revealed that NF1 mutations or knockout (KO) recapitulated the classical haematopoietic pathological features of JMML with reduced NF1 gene dose. NF1 mutations or KO promoted the proliferation and immune function of NK cells and iMacs derived from iPSCs. Moreover, NF1-mutated iNKs had a high capacity to kill NF1-KO iMacs. NF1-mutated or KO iNKs administration delayed leukaemia progression in a xenograft animal model. Our findings demonstrate that germline NF1 mutations alone cannot directly drive JMML development and suggest a potential cell immunotherapy for JMML patients.
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Affiliation(s)
- Wanqiao Wang
- Pediatric Translational Medicine Institute, Department of Hematology & Oncology, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Key Laboratory of Pediatric Hematology & Oncology of China Ministry of Health, Shanghai, China
| | - Xin Li
- Department of Endocrinology and Metabolism, Shanghai Children's Medical Center, Shanghai, China
| | - Xia Qin
- Department of Hematology & Oncology, Shanghai Children's Medical Center, Shanghai, China
| | - Yan Miao
- Department of Hematology & Oncology, Shanghai Children's Medical Center, Shanghai, China
| | - Yingwen Zhang
- State Key Laboratory of Oncogenes and Related Genes, Renji-Med X Clinical Stem Cell Research Center, Ren Ji Hospital, Shanghai Cancer Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shanshan Li
- Pediatric Translational Medicine Institute, Department of Hematology & Oncology, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Key Laboratory of Pediatric Hematology & Oncology of China Ministry of Health, Shanghai, China
| | - Ruen Yao
- Department of Medical Genetics, Shanghai Children's Medical Center, Shanghai, China
| | - Yi Yang
- Pediatric Translational Medicine Institute, Department of Hematology & Oncology, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Key Laboratory of Pediatric Hematology & Oncology of China Ministry of Health, Shanghai, China
| | - Lisha Yu
- Department of Hematology & Oncology, Shanghai Children's Medical Center, Shanghai, China
| | - Hua Zhu
- Department of Hematology & Oncology, Shanghai Children's Medical Center, Shanghai, China
| | - Lili Song
- Department of Hematology & Oncology, Shanghai Children's Medical Center, Shanghai, China
| | - Shengqiao Mao
- Department of Hematology & Oncology, Shanghai Children's Medical Center, Shanghai, China
| | - Xiumin Wang
- Department of Endocrinology and Metabolism, Shanghai Children's Medical Center, Shanghai, China
| | - Jing Chen
- Department of Hematology & Oncology, Shanghai Children's Medical Center, Shanghai, China
| | - Haizhong Feng
- State Key Laboratory of Oncogenes and Related Genes, Renji-Med X Clinical Stem Cell Research Center, Ren Ji Hospital, Shanghai Cancer Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yanxin Li
- Pediatric Translational Medicine Institute, Department of Hematology & Oncology, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Key Laboratory of Pediatric Hematology & Oncology of China Ministry of Health, Shanghai, China
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3
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Mendoza-Castrejon J, Magee JA. Layered immunity and layered leukemogenicity: Developmentally restricted mechanisms of pediatric leukemia initiation. Immunol Rev 2023; 315:197-215. [PMID: 36588481 PMCID: PMC10301262 DOI: 10.1111/imr.13180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Hematopoietic stem cells (HSCs) and multipotent progenitor cells (MPPs) arise in successive waves during ontogeny, and their properties change significantly throughout life. Ontological changes in HSCs/MPPs underlie corresponding changes in mechanisms of pediatric leukemia initiation. As HSCs and MPPs progress from fetal to neonatal, juvenile and adult stages of life, they undergo transcriptional and epigenetic reprogramming that modifies immune output to meet age-specific pathogenic challenges. Some immune cells arise exclusively from fetal HSCs/MPPs. We propose that this layered immunity instructs cell fates that underlie a parallel layered leukemogenicity. Indeed, some pediatric leukemias, such as juvenile myelomonocytic leukemia, myeloid leukemia of Down syndrome, and infant pre-B-cell acute lymphoblastic leukemia, are age-restricted. They only present during infancy or early childhood. These leukemias likely arise from fetal progenitors that lose competence for transformation as they age. Other childhood leukemias, such as non-infant pre-B-cell acute lymphoblastic leukemia and acute myeloid leukemia, have mutation profiles that are common in childhood but rare in morphologically similar adult leukemias. These differences could reflect temporal changes in mechanisms of mutagenesis or changes in how progenitors respond to a given mutation at different ages. Interactions between leukemogenic mutations and normal developmental switches offer potential targets for therapy.
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Affiliation(s)
- Jonny Mendoza-Castrejon
- Department of Pediatrics, Division of Hematology and Oncology, Washington University School of Medicine, 660 S. Euclid Ave, St. Louis, MO 63110
| | - Jeffrey A. Magee
- Department of Pediatrics, Division of Hematology and Oncology, Washington University School of Medicine, 660 S. Euclid Ave, St. Louis, MO 63110
- Department of Genetics, Washington University School of Medicine, 660 S. Euclid Ave, St. Louis, MO 63110
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Zhang X, Gan Y, Zhu H, Liu Z, Yao X, Cheng C, Liu Z, Su C, Zou J. Role of mitochondrial metabolism in immune checkpoint inhibitors-related myocarditis. Front Cardiovasc Med 2023; 10:1112222. [PMID: 36760573 PMCID: PMC9902768 DOI: 10.3389/fcvm.2023.1112222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Accepted: 01/05/2023] [Indexed: 01/26/2023] Open
Abstract
Background Immune checkpoint inhibitor-related myocarditis is the deadliest complication of immunotherapy. However, the underlying pathophysiological mechanisms of its occurrence and development remain unclear. Due to the long-term lack of effective early diagnosis and treatment options, it is of great significance to understand the pathophysiological mechanism of immune checkpoint inhibitor-related myocarditis. Methods Tissue samples from three patients with immune checkpoint inhibitor-related myocarditis and three control tissue samples were collected for protein analysis. Differentially expressed proteins were screened out using quantitative proteomics technology based on TMT markers. Protein-protein interaction (PPI) and Gene Ontology (GO) functional enrichment analyses of cross-factors were subsequently performed. Combined with the PD-L1 subcellular organelle- level protein interaction network, we searched for hub proteins involved in immune checkpoint inhibitor-related myocarditis and explored potential drug sensitivity and disease correlation. Results A total of 306 differentially expressed proteins were identified in immune checkpoint inhibitor-related myocarditis. Enrichment analysis showed that the differentially expressed proteins were closely related to mitochondrial metabolism. By analyzing mitochondria-related proteins and PD-L1-related proteins, we found four hub proteins, mammalian target of rapamycin (mTOR), Glycogen synthase kinase 3β (GSK3β), Protein tyrosine phosphatase non-receptor type 11 (PTPN11), and Mitofusin 2 (MFN2), indicating that they are closely related to immune checkpoint inhibitor-related myocarditis. Finally, we explored potential drugs for the treatment of immune checkpoint inhibitor-related myocarditis. Conclusion Mitochondrial metabolism is involved in the process of immune checkpoint inhibitor-related myocarditis, and we identified four hub proteins, which may become new biomarkers for the early diagnosis and treatment of immune checkpoint inhibitor-related myocarditis.
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Sun Y, Zhang F, Huo L, Cai W, Wang Q, Wen L, Yan L, Shen H, Xu X, Chen S. Clinical characteristics and prognostic analysis of acute myeloid leukemia patients with PTPN11 mutations. Hematology 2022; 27:1184-1190. [DOI: 10.1080/16078454.2022.2140274] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Affiliation(s)
- Yueyue Sun
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, the First Affiliated Hospital of Soochow University, Soochow University, Suzhou, People’s Republic of China
- Cyrus Tang hematology center, Soochow University, Suzhou, People’s Republic of China
| | - Fenghong Zhang
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, the First Affiliated Hospital of Soochow University, Soochow University, Suzhou, People’s Republic of China
- Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow University, Suzhou, People’s Republic of China
| | - Li Huo
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, the First Affiliated Hospital of Soochow University, Soochow University, Suzhou, People’s Republic of China
| | - Wenzhi Cai
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, the First Affiliated Hospital of Soochow University, Soochow University, Suzhou, People’s Republic of China
| | - Qinrong Wang
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, the First Affiliated Hospital of Soochow University, Soochow University, Suzhou, People’s Republic of China
- Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow University, Suzhou, People’s Republic of China
| | - Lijun Wen
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, the First Affiliated Hospital of Soochow University, Soochow University, Suzhou, People’s Republic of China
- Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Soochow University, Suzhou, People’s Republic of China
| | - Lingzhi Yan
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, the First Affiliated Hospital of Soochow University, Soochow University, Suzhou, People’s Republic of China
| | - Hongjie Shen
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, the First Affiliated Hospital of Soochow University, Soochow University, Suzhou, People’s Republic of China
| | - Xiaoyu Xu
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, the First Affiliated Hospital of Soochow University, Soochow University, Suzhou, People’s Republic of China
| | - Suning Chen
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, the First Affiliated Hospital of Soochow University, Soochow University, Suzhou, People’s Republic of China
- Cyrus Tang hematology center, Soochow University, Suzhou, People’s Republic of China
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Solman M, Woutersen DTJ, den Hertog J. Modeling (not so) rare developmental disorders associated with mutations in the protein-tyrosine phosphatase SHP2. Front Cell Dev Biol 2022; 10:1046415. [PMID: 36407105 PMCID: PMC9672471 DOI: 10.3389/fcell.2022.1046415] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Accepted: 10/25/2022] [Indexed: 11/06/2022] Open
Abstract
Src homology region 2 (SH2)-containing protein tyrosine phosphatase 2 (SHP2) is a highly conserved protein tyrosine phosphatase (PTP), which is encoded by PTPN11 and is indispensable during embryonic development. Mutations in PTPN11 in human patients cause aberrant signaling of SHP2, resulting in multiple rare hereditary diseases, including Noonan Syndrome (NS), Noonan Syndrome with Multiple Lentigines (NSML), Juvenile Myelomonocytic Leukemia (JMML) and Metachondromatosis (MC). Somatic mutations in PTPN11 have been found to cause cancer. Here, we focus on the role of SHP2 variants in rare diseases and advances in the understanding of its pathogenesis using model systems.
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Affiliation(s)
- Maja Solman
- Hubrecht Institute-KNAW, University Medical Center Utrecht, Utrecht, Netherlands
| | | | - Jeroen den Hertog
- Hubrecht Institute-KNAW, University Medical Center Utrecht, Utrecht, Netherlands
- Institute Biology Leiden, Leiden University, Leiden, Netherlands
- *Correspondence: Jeroen den Hertog,
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7
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Wang MJ, Song Y, Guo XQ, Wei D, Cao XT, Sun Y, Xu YG, Hu XM. The Construction of ITP Diagnostic Modeling Based on the Expressions of Hub Genes Associated with M1 Polarization of Macrophages. J Inflamm Res 2022; 15:5905-5915. [PMID: 36274827 PMCID: PMC9581081 DOI: 10.2147/jir.s364414] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Accepted: 09/06/2022] [Indexed: 11/07/2022] Open
Abstract
Purpose Primary immune thrombocytopenia (ITP) is an immune disease with a diagnosis of exclusion, since no validated biomarkers have been identified. In this study, we explored biomarkers associated with the development of ITP from an immune perspective to inform the clinical diagnosis. Patients and Methods Differentially expressed genes (DEGs) between normal and ITP samples were analyzed using limma package. Random forest algorithm and LASSO regression were further used to screen for DEGs associated with ITP. The expression of these hub genes was validated by PCR. The relationship between DEGs and immunity was explored by enrichment analysis. Immune cell infiltration in ITP was analyzed by CIBERSORT and ssGSEA, and the relationship between DEGs and infiltrating immune cells was analyzed by Spearman’s rank correlation analysis. Finally, a diagnostic model related to DEGs was constructed by the neural network, and its efficiency was detected by the ROC curve. Results After screening the GEO database and validation by PCR analysis, The expression of CTH and TAF8 were higher and while OSBP2 expression was lower in ITP patients compared to normal subjects (P<0.05). GO enrichment analysis showed that these DEGs were associated with inflammatory immune-related diseases, and KEGG analysis showed that they mainly regulated signaling pathways such as JAK-STAT. CIBERSORT and ssGSEA analyses showed that these DEGs were mainly associated with macrophage M1 polarization. The expression of CTH and TAF8 were positively correlated with M1 expression, while OSBP2 was negatively correlated with M1 expression. The ROC curve showed high accuracy of the neural network model [AUC= 0.939, 95% CI (0.8–1)]. Conclusion Our results suggest that CTH, TAF8, and OSBP2 can be used as effective diagnostic biomarkers of ITP.
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Affiliation(s)
- Ming-Jing Wang
- Department of Hematology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, 100091, People’s Republic of China,Graduate School, China Academy of Chinese Medical Sciences, Beijing, 100700, People’s Republic of China
| | - Ying Song
- Department of Hematology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, 100091, People’s Republic of China,Graduate School, China Academy of Chinese Medical Sciences, Beijing, 100700, People’s Republic of China
| | - Xiao-Qing Guo
- Department of Hematology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, 100091, People’s Republic of China
| | - Diu Wei
- Department of Hematology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, 100091, People’s Republic of China,Graduate School, China Academy of Chinese Medical Sciences, Beijing, 100700, People’s Republic of China
| | - Xin-Tian Cao
- Department of Hematology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, 100091, People’s Republic of China,Graduate School, Beijing University of Chinese Medicine, Beijing, 100029, People’s Republic of China
| | - Yan Sun
- Department of Hematology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, 100091, People’s Republic of China,Graduate School, Beijing University of Chinese Medicine, Beijing, 100029, People’s Republic of China
| | - Yong-Gang Xu
- Department of Hematology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, 100091, People’s Republic of China
| | - Xiao-Mei Hu
- Department of Hematology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, 100091, People’s Republic of China,Correspondence: Xiao-Mei Hu; Yong-Gang Xu, Department of Hematology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, No. 1 Xiyuancaochang, Haidian District, Beijing, 100091, People’s Republic of China, Tel +86 010-6283-5361, Email ;
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8
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Becklin KL, Draper GM, Madden RA, Kluesner MG, Koga T, Huang M, Weiss WA, Spector LG, Largaespada DA, Moriarity BS, Webber BR. Developing Bottom-Up Induced Pluripotent Stem Cell Derived Solid Tumor Models Using Precision Genome Editing Technologies. CRISPR J 2022; 5:517-535. [PMID: 35972367 PMCID: PMC9529369 DOI: 10.1089/crispr.2022.0032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Accepted: 07/29/2022] [Indexed: 11/13/2022] Open
Abstract
Advances in genome and tissue engineering have spurred significant progress and opportunity for innovation in cancer modeling. Human induced pluripotent stem cells (iPSCs) are an established and powerful tool to study cellular processes in the context of disease-specific genetic backgrounds; however, their application to cancer has been limited by the resistance of many transformed cells to undergo successful reprogramming. Here, we review the status of human iPSC modeling of solid tumors in the context of genetic engineering, including how base and prime editing can be incorporated into "bottom-up" cancer modeling, a term we coined for iPSC-based cancer models using genetic engineering to induce transformation. This approach circumvents the need to reprogram cancer cells while allowing for dissection of the genetic mechanisms underlying transformation, progression, and metastasis with a high degree of precision and control. We also discuss the strengths and limitations of respective engineering approaches and outline experimental considerations for establishing future models.
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Affiliation(s)
- Kelsie L. Becklin
- Department of Pediatrics, University of Minnesota, Minneapolis, Minnesota, USA; Neurosurgery and Brain Tumor Research Center, University of California, San Francisco, San Francisco, California, USA
- Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota, USA; Neurosurgery and Brain Tumor Research Center, University of California, San Francisco, San Francisco, California, USA
- Center for Genome Engineering, University of Minnesota, Minneapolis, Minnesota, USA; Neurosurgery and Brain Tumor Research Center, University of California, San Francisco, San Francisco, California, USA
| | - Garrett M. Draper
- Department of Pediatrics, University of Minnesota, Minneapolis, Minnesota, USA; Neurosurgery and Brain Tumor Research Center, University of California, San Francisco, San Francisco, California, USA
- Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota, USA; Neurosurgery and Brain Tumor Research Center, University of California, San Francisco, San Francisco, California, USA
- Center for Genome Engineering, University of Minnesota, Minneapolis, Minnesota, USA; Neurosurgery and Brain Tumor Research Center, University of California, San Francisco, San Francisco, California, USA
| | - Rebecca A. Madden
- Department of Pediatrics, University of Minnesota, Minneapolis, Minnesota, USA; Neurosurgery and Brain Tumor Research Center, University of California, San Francisco, San Francisco, California, USA
- Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota, USA; Neurosurgery and Brain Tumor Research Center, University of California, San Francisco, San Francisco, California, USA
- Center for Genome Engineering, University of Minnesota, Minneapolis, Minnesota, USA; Neurosurgery and Brain Tumor Research Center, University of California, San Francisco, San Francisco, California, USA
| | - Mitchell G. Kluesner
- Department of Pediatrics, University of Minnesota, Minneapolis, Minnesota, USA; Neurosurgery and Brain Tumor Research Center, University of California, San Francisco, San Francisco, California, USA
- Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota, USA; Neurosurgery and Brain Tumor Research Center, University of California, San Francisco, San Francisco, California, USA
- Center for Genome Engineering, University of Minnesota, Minneapolis, Minnesota, USA; Neurosurgery and Brain Tumor Research Center, University of California, San Francisco, San Francisco, California, USA
| | - Tomoyuki Koga
- Ludwig Cancer Research San Diego Branch, La Jolla, California, USA; Neurosurgery and Brain Tumor Research Center, University of California, San Francisco, San Francisco, California, USA
- Department of Neurosurgery, University of Minnesota, Minneapolis, Minnesota, USA; Neurosurgery and Brain Tumor Research Center, University of California, San Francisco, San Francisco, California, USA
| | - Miller Huang
- Department of Pediatrics, University of Southern California, Los Angeles, California, USA; Neurosurgery and Brain Tumor Research Center, University of California, San Francisco, San Francisco, California, USA
- Cancer and Blood Disease Institute, Children's Hospital Los Angeles and The Saban Research Institute, Los Angeles, California, USA; Neurosurgery and Brain Tumor Research Center, University of California, San Francisco, San Francisco, California, USA
| | - William A. Weiss
- Departments of Neurology, Pediatrics, Neurosurgery, Brain Tumor Research Center, and Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, California, USA; and Neurosurgery and Brain Tumor Research Center, University of California, San Francisco, San Francisco, California, USA
- Departments of Pediatrics, Neurosurgery and Brain Tumor Research Center, University of California, San Francisco, San Francisco, California, USA
| | - Logan G. Spector
- Department of Pediatrics, University of Minnesota, Minneapolis, Minnesota, USA; Neurosurgery and Brain Tumor Research Center, University of California, San Francisco, San Francisco, California, USA
- Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota, USA; Neurosurgery and Brain Tumor Research Center, University of California, San Francisco, San Francisco, California, USA
| | - David A. Largaespada
- Department of Pediatrics, University of Minnesota, Minneapolis, Minnesota, USA; Neurosurgery and Brain Tumor Research Center, University of California, San Francisco, San Francisco, California, USA
- Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota, USA; Neurosurgery and Brain Tumor Research Center, University of California, San Francisco, San Francisco, California, USA
- Center for Genome Engineering, University of Minnesota, Minneapolis, Minnesota, USA; Neurosurgery and Brain Tumor Research Center, University of California, San Francisco, San Francisco, California, USA
| | - Branden S. Moriarity
- Department of Pediatrics, University of Minnesota, Minneapolis, Minnesota, USA; Neurosurgery and Brain Tumor Research Center, University of California, San Francisco, San Francisco, California, USA
- Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota, USA; Neurosurgery and Brain Tumor Research Center, University of California, San Francisco, San Francisco, California, USA
- Center for Genome Engineering, University of Minnesota, Minneapolis, Minnesota, USA; Neurosurgery and Brain Tumor Research Center, University of California, San Francisco, San Francisco, California, USA
| | - Beau R. Webber
- Department of Pediatrics, University of Minnesota, Minneapolis, Minnesota, USA; Neurosurgery and Brain Tumor Research Center, University of California, San Francisco, San Francisco, California, USA
- Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota, USA; Neurosurgery and Brain Tumor Research Center, University of California, San Francisco, San Francisco, California, USA
- Center for Genome Engineering, University of Minnesota, Minneapolis, Minnesota, USA; Neurosurgery and Brain Tumor Research Center, University of California, San Francisco, San Francisco, California, USA
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Watt SM, Hua P, Roberts I. Increasing Complexity of Molecular Landscapes in Human Hematopoietic Stem and Progenitor Cells during Development and Aging. Int J Mol Sci 2022; 23:ijms23073675. [PMID: 35409034 PMCID: PMC8999121 DOI: 10.3390/ijms23073675] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2022] [Revised: 03/21/2022] [Accepted: 03/23/2022] [Indexed: 02/05/2023] Open
Abstract
The past five decades have seen significant progress in our understanding of human hematopoiesis. This has in part been due to the unprecedented development of advanced technologies, which have allowed the identification and characterization of rare subsets of human hematopoietic stem and progenitor cells and their lineage trajectories from embryonic through to adult life. Additionally, surrogate in vitro and in vivo models, although not fully recapitulating human hematopoiesis, have spurred on these scientific advances. These approaches have heightened our knowledge of hematological disorders and diseases and have led to their improved diagnosis and therapies. Here, we review human hematopoiesis at each end of the age spectrum, during embryonic and fetal development and on aging, providing exemplars of recent progress in deciphering the increasingly complex cellular and molecular hematopoietic landscapes in health and disease. This review concludes by highlighting links between chronic inflammation and metabolic and epigenetic changes associated with aging and in the development of clonal hematopoiesis.
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Affiliation(s)
- Suzanne M. Watt
- Stem Cell Research, Nuffield Division of Clinical Laboratory Sciences, Radcliffe Department of Medicine, University of Oxford, Oxford OX3 9BQ, UK
- Myeloma Research Laboratory, Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, North Terrace, Adelaide 5005, Australia
- Cancer Program, Precision Medicine Theme, South Australian Health and Medical Research Institute, Adelaide 5001, Australia
- Correspondence: or ; Tel.: +61-403-393-755
| | - Peng Hua
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing 210029, China;
| | - Irene Roberts
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, and NIHR Oxford Biomedical Research Centre Haematology Theme, Radcliffe Department of Medicine, University of Oxford, Oxford OX3 9DU, UK;
- Department of Paediatrics and NIHR Oxford Biomedical Research Centre Haematology Theme, University of Oxford, Oxford OX3 9DU, UK
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Genomic and Epigenomic Landscape of Juvenile Myelomonocytic Leukemia. Cancers (Basel) 2022; 14:cancers14051335. [PMID: 35267643 PMCID: PMC8909150 DOI: 10.3390/cancers14051335] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Revised: 02/25/2022] [Accepted: 03/02/2022] [Indexed: 02/04/2023] Open
Abstract
Simple Summary Juvenile myelomonocytic leukemia (JMML) is a rare pediatric myelodysplastic/myeloproliferative neoplasm characterized by the constitutive activation of the RAS pathway. In spite of the recent progresses in the molecular characterization of JMML, this disease is still a clinical challenge due to its heterogeneity, difficult diagnosis, poor prognosis, and the lack of curative treatment options other than hematopoietic stem cell transplantation (HSCT). In this review, we will provide a detailed overview of the genetic and epigenetic alterations occurring in JMML, and discuss their clinical relevance in terms of disease prognosis and risk of relapse after HSCT. We will also present the most recent advances on novel preclinical and clinical therapeutic approaches directed against JMML molecular targets. Finally, we will outline future research perspectives to further explore the oncogenic mechanism driving JMML leukemogenesis and progression, with special attention to the application of single-cell next-generation sequencing technologies. Abstract Juvenile myelomonocytic leukemia (JMML) is a rare myelodysplastic/myeloproliferative neoplasm of early childhood. Most of JMML patients experience an aggressive clinical course of the disease and require hematopoietic stem cell transplantation, which is currently the only curative treatment. JMML is characterized by RAS signaling hyperactivation, which is mainly driven by mutations in one of five genes of the RAS pathway, including PTPN11, KRAS, NRAS, NF1, and CBL. These driving mutations define different disease subtypes with specific clinico-biological features. Secondary mutations affecting other genes inside and outside the RAS pathway contribute to JMML pathogenesis and are associated with a poorer prognosis. In addition to these genetic alterations, JMML commonly presents aberrant epigenetic profiles that strongly correlate with the clinical outcome of the patients. This observation led to the recent publication of an international JMML stratification consensus, which defines three JMML clinical groups based on DNA methylation status. Although the characterization of the genomic and epigenomic landscapes in JMML has significantly contributed to better understand the molecular mechanisms driving the disease, our knowledge on JMML origin, cell identity, and intratumor and interpatient heterogeneity is still scarce. The application of new single-cell sequencing technologies will be critical to address these questions in the future.
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Induced Pluripotent Stem Cells to Model Juvenile Myelomonocytic Leukemia: New Perspectives for Preclinical Research. Cells 2021; 10:cells10092335. [PMID: 34571984 PMCID: PMC8465353 DOI: 10.3390/cells10092335] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Revised: 08/24/2021] [Accepted: 08/31/2021] [Indexed: 11/16/2022] Open
Abstract
Juvenile myelomonocytic leukemia (JMML) is a malignant myeloproliferative disorder arising in infants and young children. The origin of this neoplasm is attributed to an early deregulation of the Ras signaling pathway in multipotent hematopoietic stem/progenitor cells. Since JMML is notoriously refractory to conventional cytostatic therapy, allogeneic hematopoietic stem cell transplantation remains the mainstay of curative therapy for most cases. However, alternative therapeutic approaches with small epigenetic molecules have recently entered the stage and show surprising efficacy at least in specific subsets of patients. Hence, the establishment of preclinical models to test novel agents is a priority. Induced pluripotent stem cells (IPSCs) offer an opportunity to imitate JMML ex vivo, after attempts to generate immortalized cell lines from primary JMML material have largely failed in the past. Several research groups have previously generated patient-derived JMML IPSCs and successfully differentiated these into myeloid cells with extensive phenotypic similarities to primary JMML cells. With infinite self-renewal and the capability to differentiate into multiple cell types, JMML IPSCs are a promising resource to advance the development of treatment modalities targeting specific vulnerabilities. This review discusses current reprogramming techniques for JMML stem/progenitor cells, related clinical applications, and the challenges involved.
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Dong L, Han D, Meng X, Xu M, Zheng C, Xia Q. Activating Mutation of SHP2 Establishes a Tumorigenic Phonotype Through Cell-Autonomous and Non-Cell-Autonomous Mechanisms. Front Cell Dev Biol 2021; 9:630712. [PMID: 33777940 PMCID: PMC7991796 DOI: 10.3389/fcell.2021.630712] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Accepted: 01/04/2021] [Indexed: 01/18/2023] Open
Abstract
Gain-of-function mutation of SHP2 is a central regulator in tumorigenesis and cancer progression through cell-autonomous mechanisms. Activating mutation of SHP2 in microenvironment was identified to promote cancerous transformation of hematopoietic stem cell in non-autonomous mechanisms. It is interesting to see whether therapies directed against SHP2 in tumor or microenvironmental cells augment antitumor efficacy. In this review, we summarized different types of gain-of-function SHP2 mutations from a human disease. In general, gain-of-function mutations destroy the auto-inhibition state from wild-type SHP2, leading to consistency activation of SHP2. We illustrated how somatic or germline mutation of SHP2 plays an oncogenic role in tumorigenesis, stemness maintenance, invasion, etc. Moreover, the small-molecule SHP2 inhibitors are considered as a potential strategy for enhancing the efficacy of antitumor immunotherapy and chemotherapy. We also discussed the interconnection between phase separation and activating mutation of SHP2 in drug resistance of antitumor therapy.
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Affiliation(s)
- Lei Dong
- School of Life Sciences, Beijing Institute of Technology, Beijing, China
| | - Da Han
- School of Life Sciences, Beijing Institute of Technology, Beijing, China
| | - Xinyi Meng
- School of Life Sciences, Beijing Institute of Technology, Beijing, China
| | - Mengchuan Xu
- School of Life Sciences, Beijing Institute of Technology, Beijing, China
| | - Chuwen Zheng
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, United States
| | - Qin Xia
- School of Life Sciences, Beijing Institute of Technology, Beijing, China
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Modeling cancer progression using human pluripotent stem cell-derived cells and organoids. Stem Cell Res 2020; 49:102063. [PMID: 33137568 PMCID: PMC7849931 DOI: 10.1016/j.scr.2020.102063] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Revised: 10/15/2020] [Accepted: 10/20/2020] [Indexed: 01/04/2023] Open
Abstract
Conventional cancer cell lines and animal models have been mainstays of cancer research. More recently, human pluripotent stem cells (hPSCs) and hPSC-derived organoid technologies, together with genome engineering approaches, have provided a complementary platform to model cancer progression. Here, we review the application of these technologies in cancer modeling with respect to the cell-of-origin, cancer propagation, and metastasis. We further discuss the benefits and challenges accompanying the use of hPSC models for cancer research and discuss their broad applicability in drug discovery, biomarker identification, decoding molecular mechanisms, and the deconstruction of clonal and intra-tumoral heterogeneity. In summary, hPSC-derived organoids provide powerful models to recapitulate the pathogenic states in cancer and to perform drug discovery.
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After 95 years, it's time to eRASe JMML. Blood Rev 2020; 43:100652. [PMID: 31980238 DOI: 10.1016/j.blre.2020.100652] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2019] [Revised: 12/07/2019] [Accepted: 12/23/2019] [Indexed: 12/16/2022]
Abstract
Juvenile myelomonocytic leukaemia (JMML) is a rare clonal disorder of early childhood. Constitutive activation of the RAS pathway is the initial event in JMML. Around 90% of patients diagnosed with JMML carry a mutation in the PTPN11, NRAS, KRAS, NF1 or CBL genes. It has been demonstrated that after this first genetic event, an additional somatic mutation or epigenetic modification is involved in disease progression. The available genetic and clinical data have enabled researchers to establish relationships between JMML and several clinical conditions, including Noonan syndrome, Ras-associated lymphoproliferative disease, and Moyamoya disease. Despite scientific progress and the development of more effective treatments, JMML is still a deadly disease: the 5-year survival rate is ~50%. Here, we report on recent research having led to a better understanding of the genetic and molecular mechanisms involved in JMML.
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