1
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Kobrossy L, Xu W, Zhang C, Feng W, Turner CE, Cosgrove MS. Unraveling MLL1-fusion Leukemia: Epigenetic Revelations from an iPS Cell Point Mutation. J Biol Chem 2024:107825. [PMID: 39342993 DOI: 10.1016/j.jbc.2024.107825] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2024] [Revised: 09/03/2024] [Accepted: 09/09/2024] [Indexed: 10/01/2024] Open
Abstract
Our understanding of acute leukemia pathology is heavily dependent on 11q23 chromosomal translocations involving the mixed lineage leukemia-1 (MLL1) gene, a key player in histone H3 lysine 4 (H3K4) methylation. These translocations result in MLL1-fusion (MLL1F) proteins that are thought to drive leukemogenesis. However, the mechanism behind increased H3K4 trimethylation in MLL1F-leukemic stem cells (MLL1F-LSCs), following loss of the catalytic SET domain of MLL1 (known for H3K4 mono- and dimethylation), remains unclear. In our investigation, we introduced a homozygous loss-of-function point mutation in MLL1 within human induced pluripotent stem cells. This mutation mimics the histone methylation, gene expression, and epithelial-mesenchymal transition (EMT) phenotypes of MLL1F-LSCs- without requiring a translocation or functional wild-type MLL1. The mutation caused a genome-wide redistribution of the H3K4 trimethyl mark and upregulated LSC-maintenance genes like HoxA9-A13, Meis1, and the HOTTIP long non-coding RNA (lncRNA). EMT markers such as ZEB1, SNAI2, and HIC-5 were also increased leading to enhanced cellular migration and invasiveness. These observations underscore the essential role of MLL1's enzymatic activity in restraining the cascade of epigenetic changes associated with the gene-activating H3K4 trimethylation mark, which we show may be catalyzed by mislocalized SETd1a H3K4 trimethyltransferase in the absence of MLL1's enzymatic activity. Challenging existing models, our findings imply that MLL1F-induced leukemias arise from a dominant-negative impact on MLL1's histone methyltransferase activity. We propose targeting SETd1a in precision medicine as a new therapeutic approach for MLL1-associated leukemias.
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Affiliation(s)
- Laila Kobrossy
- Department of Biochemistry and Molecular Biology, SUNY Upstate Medical University, Syracuse, New York 13210, United States
| | - Weiyi Xu
- Department of Cell and Developmental Biology, SUNY Upstate Medical University, Syracuse, New York 13210, United States
| | - Chunling Zhang
- Department of Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, New York 13210, United States
| | - Wenyi Feng
- Department of Biochemistry and Molecular Biology, SUNY Upstate Medical University, Syracuse, New York 13210, United States
| | - Christopher E Turner
- Department of Cell and Developmental Biology, SUNY Upstate Medical University, Syracuse, New York 13210, United States
| | - Michael S Cosgrove
- Department of Biochemistry and Molecular Biology, SUNY Upstate Medical University, Syracuse, New York 13210, United States.
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2
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Mantilla JG, Moreira AL. The Grading System for Lung Adenocarcinoma: Brief Review of its Prognostic Performance and Future Directions. Adv Anat Pathol 2024; 31:283-288. [PMID: 38666775 DOI: 10.1097/pap.0000000000000452] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/09/2024]
Abstract
Histologic grading of tumors is associated with prognosis in many organs. In the lung, the most recent grading system proposed by International association for the Study of Lung Cancer (IASLC) and adopted by the World Health Organization (WHO) incorporates the predominant histologic pattern, as well as the presence of high-grade architectural patterns (solid, micropapillary, and complex glandular pattern) in proportions >20% of the tumor surface. This system has shown improved prognostic ability when compared with the prior grading system based on the predominant pattern alone, across different patient populations. Interobserver agreement is moderate to excellent, depending on the study. IASLC/WHO grading system has been shown to correlate with molecular alterations and PD-L1 expression in tumor cells. Recent studies interrogating gene expression has shown correlation with tumor grade and molecular alterations in the tumor microenvironment that can further stratify risk of recurrence. The use of machine learning algorithms to grade nonmucinous adenocarcinoma under this system has shown accuracy comparable to that of expert pulmonary pathologists. Future directions include evaluation of tumor grade in the context of adjuvant and neoadjuvant therapies, as well as the development of better prognostic indicators for mucinous adenocarcinoma.
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Affiliation(s)
- Jose G Mantilla
- Department of Pathology, New York University Grossman School of Medicine, New York, NY
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3
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Zhang M, Xu Y, Zhang Y, Lou G. E2F8 knockdown suppresses cell proliferation and induces cell cycle arrest via Wnt/β-Catenin pathway in ovarian cancer. CHINESE J PHYSIOL 2023; 66:266-275. [PMID: 37635486 DOI: 10.4103/cjop.cjop-d-22-00142] [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] [Indexed: 08/29/2023] Open
Abstract
Ovarian cancer is one of the leading causes of death in female reproductive system cancers. However, the pathogenesis of ovarian cancer remains elusive. Our aim is to investigate the potential targets for ovarian cancer. Two microarray datasets were obtained from the Gene Expression Omnibus public database. Using R package limma, the differentially expressed genes (DEGs) were identified from the datasets. There were 95 overlapping DEGs in two microarray datasets. GO, KEGG pathway analysis, and protein-protein interaction (PPI) network analysis were carried out based on the DEGs. Wnt signaling pathway and cell cycle were enriched in the KEGG pathway analysis. Moreover, the top 10 hub genes with the most nodes were determined by PPI network analysis. E2F8, one of hub genes was positively linked to a bad outcome in ovarian cancer patients. Furthermore, E2F8 knockdown suppressed cell proliferation and induced cell cycle arrest in ovarian cancer. In addition, we found that silencing E2F8 inhibited the Wnt/β-catenin signaling pathway. In ovarian cancer cells with E2F8 knockdown, overexpressing β-catenin restored both the suppressed capacity of cell proliferation and cell cycle progression. Therefore, our results revealed that E2F8 had an involvement in the development of ovarian cancer which might act as a therapeutic target.
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Affiliation(s)
- Meiyin Zhang
- Department of Gynecology, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, China
| | - Ye Xu
- Department of Gynecology, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, China
| | - Yongjian Zhang
- Department of Gynecology, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, China
| | - Ge Lou
- Department of Gynecology, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, China
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4
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Nairuz T, Mahmud Z, Manik RK, Kabir Y. Cancer stem cells: an insight into the development of metastatic tumors and therapy resistance. Stem Cell Rev Rep 2023:10.1007/s12015-023-10529-x. [PMID: 37129728 DOI: 10.1007/s12015-023-10529-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/09/2023] [Indexed: 05/03/2023]
Abstract
The term "cancer stem cells" (CSCs) refers to cancer cells that exhibit traits parallel to normal stem cells, namely the potential to give rise to every type of cell identified in a tumor microenvironment. It has been found that CSCs usually develops from other neoplastic cells or non-cancerous somatic cells by acquiring stemness and malignant characteristics through particular genetic modifications. A trivial number of CSCs, identified in solid and liquid cancer, can give rise to an entire tumor population with aggressive anticancer drug resistance, metastasis, and invasiveness. Besides, cancer stem cells manipulate their intrinsic and extrinsic features, regulate the metabolic pattern of the cell, adjust efflux-influx efficiency, modulate different signaling pathways, block apoptotic signals, and cause genetic and epigenetic alterations to retain their pluripotency and ability of self-renewal. Notably, to keep the cancer stem cells' ability to become malignant cells, mesenchymal stem cells, tumor-associated fibroblasts, immune cells, etc., interact with one another. Furthermore, CSCs are characterized by the expression of particular molecular markers that carry significant diagnostic and prognostic significance. Because of this, scientific research on CSCs is becoming increasingly imperative, intending to understand the traits and behavior of cancer stem cells and create more potent anticancer therapeutics to fight cancer at the CSC level. In this review, we aimed to elucidate the critical role of CSCs in the onset and spread of cancer and the characteristics of CSCs that promote severe resistance to targeted therapy.
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Affiliation(s)
- Tahsin Nairuz
- Department of Biochemistry and Molecular Biology, Noakhali Science and Technology University, Noakhali, Bangladesh
| | - Zimam Mahmud
- Department of Biochemistry and Molecular Biology, University of Dhaka, Dhaka, 1000, Bangladesh
| | - Rasel Khan Manik
- Department of Biochemistry and Molecular Biology, University of Dhaka, Dhaka, 1000, Bangladesh
| | - Yearul Kabir
- Department of Biochemistry and Molecular Biology, University of Dhaka, Dhaka, 1000, Bangladesh.
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5
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Ribeiro Junior HL, Gonçalves PG, Moreno DA, Goes JVC, de Oliveira RTG, Montefusco-Pereira CV, Komoto TT, Pinheiro RF. Discrepancy in Transcriptomic Profiling Between CD34+ Stem Cells and Primary Bone Marrow Cells in Myelodysplastic Neoplasm. Leuk Res 2023; 129:107071. [PMID: 37004280 DOI: 10.1016/j.leukres.2023.107071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2023] [Revised: 03/22/2023] [Accepted: 03/27/2023] [Indexed: 03/31/2023]
Abstract
Differentially expressed genes (DEGs) biomarkers can be used to help diagnose and monitor the disease, as well as to determine which treatments are most effective. So, given the complexity of Myelodysplastic neoplasm (MDS), it is difficult to determine the impact and disparities of DEGs between CD34+ HSC (hematopoietic stem cells) or primary bone marrow cells (PBMC) in MDS pathogenesis, and therefore it remains largely unknown. Here, we performed an in-silico transcriptome analysis on CD34+ HSC and PBMC from 1092 MDS patients analyzing the divergences between differential gene expression patterns in these two cell types as potential pathogenic biomarkers for MDS. Initially, we observed a difference of 7117 expressed transcripts between PBMC (n = 40,165) and CD34 +HSC (n = 33,048). Also, we identified that CD34+ HSC and PBMC samples showed 240 and 2948 DEGs, respectively. In summary, we identified DEGs disparities in CD34+ HSC and PBMC cell types. However, there was a certain similarity of the activated pathways in both cellular samples based on Gene Ontology and KEGG pathways enrichment analyses. Our results provide novel insights into novel DEGs biomarkers to MDS pathogenesis with clinical significance. AVAILABILITY OF DATA AND MATERIALS: All microarray databases were obtained from Gene Expression Omnibus (https://www.ncbi.nlm.nih.gov/geo/). To evaluate the biological function of differentially expressed genes, the DAVID (Database for Annotation, Visualization and Integrated Discovery tool was used) (https://david.ncifcrf.gov/).
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6
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García-Sancha N, Corchado-Cobos R, Gómez-Vecino A, Jiménez-Navas A, Pérez-Baena MJ, Blanco-Gómez A, Holgado-Madruga M, Mao JH, Cañueto J, Castillo-Lluva S, Mendiburu-Eliçabe M, Pérez-Losada J. Evolutionary Origins of Metabolic Reprogramming in Cancer. Int J Mol Sci 2022; 23:ijms232012063. [PMID: 36292921 PMCID: PMC9603151 DOI: 10.3390/ijms232012063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 09/29/2022] [Accepted: 10/06/2022] [Indexed: 11/23/2022] Open
Abstract
Metabolic changes that facilitate tumor growth are one of the hallmarks of cancer. These changes are not specific to tumors but also take place during the physiological growth of tissues. Indeed, the cellular and tissue mechanisms present in the tumor have their physiological counterpart in the repair of tissue lesions and wound healing. These molecular mechanisms have been acquired during metazoan evolution, first to eliminate the infection of the tissue injury, then to enter an effective regenerative phase. Cancer itself could be considered a phenomenon of antagonistic pleiotropy of the genes involved in effective tissue repair. Cancer and tissue repair are complex traits that share many intermediate phenotypes at the molecular, cellular, and tissue levels, and all of these are integrated within a Systems Biology structure. Complex traits are influenced by a multitude of common genes, each with a weak effect. This polygenic component of complex traits is mainly unknown and so makes up part of the missing heritability. Here, we try to integrate these different perspectives from the point of view of the metabolic changes observed in cancer.
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Affiliation(s)
- Natalia García-Sancha
- Instituto de Biología Molecular y Celular del Cáncer (IBMCC-CIC), Universidad de Salamanca/CSIC, 37007 Salamanca, Spain
- Instituto de Investigación Biosanitaria de Salamanca (IBSAL), 37007 Salamanca, Spain
| | - Roberto Corchado-Cobos
- Instituto de Biología Molecular y Celular del Cáncer (IBMCC-CIC), Universidad de Salamanca/CSIC, 37007 Salamanca, Spain
- Instituto de Investigación Biosanitaria de Salamanca (IBSAL), 37007 Salamanca, Spain
| | - Aurora Gómez-Vecino
- Instituto de Biología Molecular y Celular del Cáncer (IBMCC-CIC), Universidad de Salamanca/CSIC, 37007 Salamanca, Spain
- Instituto de Investigación Biosanitaria de Salamanca (IBSAL), 37007 Salamanca, Spain
| | - Alejandro Jiménez-Navas
- Instituto de Biología Molecular y Celular del Cáncer (IBMCC-CIC), Universidad de Salamanca/CSIC, 37007 Salamanca, Spain
- Instituto de Investigación Biosanitaria de Salamanca (IBSAL), 37007 Salamanca, Spain
| | - Manuel Jesús Pérez-Baena
- Instituto de Biología Molecular y Celular del Cáncer (IBMCC-CIC), Universidad de Salamanca/CSIC, 37007 Salamanca, Spain
- Instituto de Investigación Biosanitaria de Salamanca (IBSAL), 37007 Salamanca, Spain
| | - Adrián Blanco-Gómez
- Instituto de Biología Molecular y Celular del Cáncer (IBMCC-CIC), Universidad de Salamanca/CSIC, 37007 Salamanca, Spain
- Instituto de Investigación Biosanitaria de Salamanca (IBSAL), 37007 Salamanca, Spain
| | - Marina Holgado-Madruga
- Instituto de Investigación Biosanitaria de Salamanca (IBSAL), 37007 Salamanca, Spain
- Departamento de Fisiología y Farmacología, Universidad de Salamanca, 37007 Salamanca, Spain
- Instituto de Neurociencias de Castilla y León (INCyL), 37007 Salamanca, Spain
| | - Jian-Hua Mao
- Lawrence Berkeley National Laboratory, Biological Systems and Engineering Division, Berkeley, CA 94720, USA
- Berkeley Biomedical Data Science Center, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Javier Cañueto
- Instituto de Biología Molecular y Celular del Cáncer (IBMCC-CIC), Universidad de Salamanca/CSIC, 37007 Salamanca, Spain
- Instituto de Investigación Biosanitaria de Salamanca (IBSAL), 37007 Salamanca, Spain
- Departamento de Dermatología, Hospital Universitario de Salamanca, Paseo de San Vicente 58-182, 37007 Salamanca, Spain
| | - Sonia Castillo-Lluva
- Departamento de Bioquímica y Biología Molecular, Facultad de Ciencias Químicas, Universidad Complutense, 28040 Madrid, Spain
- Instituto de Investigaciones Sanitarias San Carlos (IdISSC), 28040 Madrid, Spain
| | - Marina Mendiburu-Eliçabe
- Instituto de Biología Molecular y Celular del Cáncer (IBMCC-CIC), Universidad de Salamanca/CSIC, 37007 Salamanca, Spain
- Instituto de Investigación Biosanitaria de Salamanca (IBSAL), 37007 Salamanca, Spain
- Correspondence: (M.M.-E.); (J.P.-L.)
| | - Jesús Pérez-Losada
- Instituto de Biología Molecular y Celular del Cáncer (IBMCC-CIC), Universidad de Salamanca/CSIC, 37007 Salamanca, Spain
- Instituto de Investigación Biosanitaria de Salamanca (IBSAL), 37007 Salamanca, Spain
- Correspondence: (M.M.-E.); (J.P.-L.)
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7
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Wu HJ, Temko D, Maliga Z, Moreira AL, Sei E, Minussi DC, Dean J, Lee C, Xu Q, Hochart G, Jacobson CA, Yapp C, Schapiro D, Sorger PK, Seeley EH, Navin N, Downey RJ, Michor F. Spatial intra-tumor heterogeneity is associated with survival of lung adenocarcinoma patients. CELL GENOMICS 2022; 2:100165. [PMID: 36419822 PMCID: PMC9681138 DOI: 10.1016/j.xgen.2022.100165] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
Intra-tumor heterogeneity (ITH) of human tumors is important for tumor progression, treatment response, and drug resistance. However, the spatial distribution of ITH remains incompletely understood. Here, we present spatial analysis of ITH in lung adenocarcinomas from 147 patients using multi-region mass spectrometry of >5,000 regions, single-cell copy number sequencing of ~2,000 single cells, and cyclic immunofluorescence of >10 million cells. We identified two distinct spatial patterns among tumors, termed clustered and random geographic diversification (GD). These patterns were observed in the same samples using both proteomic and genomic data. The random proteomic GD pattern, which is characterized by decreased cell adhesion and lower levels of tumor-interacting endothelial cells, was significantly associated with increased risk of recurrence or death in two independent patient cohorts. Our study presents comprehensive spatial mapping of ITH in lung adenocarcinoma and provides insights into the mechanisms and clinical consequences of GD.
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Affiliation(s)
- Hua-Jun Wu
- Center for Precision Medicine Multi-Omics Research, School of Basic Medical Sciences, Peking University Health Science Center and Peking University Cancer Hospital and Institute, Beijing, China,These authors contributed equally
| | - Daniel Temko
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA 02215, USA,Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA,Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA,These authors contributed equally
| | - Zoltan Maliga
- Laboratory of Systems Pharmacology and Department of Systems Biology, Harvard Medical School, Boston, MA 02215, USA,These authors contributed equally
| | - Andre L. Moreira
- Department of Pathology, New York University Langone Health, New York, NY 10016, USA
| | - Emi Sei
- Department of Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA,Graduate School of Biomedical Sciences, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Darlan Conterno Minussi
- Department of Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA,Graduate School of Biomedical Sciences, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Jamie Dean
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA 02215, USA,Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA,Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA
| | - Charlotte Lee
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA 02215, USA,Harvard-MIT Program in Health Sciences and Technology, Harvard Medical School, Boston, MA 02215, USA
| | - Qiong Xu
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | | | - Connor A. Jacobson
- Laboratory of Systems Pharmacology and Department of Systems Biology, Harvard Medical School, Boston, MA 02215, USA
| | - Clarence Yapp
- Laboratory of Systems Pharmacology and Department of Systems Biology, Harvard Medical School, Boston, MA 02215, USA
| | - Denis Schapiro
- Laboratory of Systems Pharmacology and Department of Systems Biology, Harvard Medical School, Boston, MA 02215, USA,Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Peter K. Sorger
- Laboratory of Systems Pharmacology and Department of Systems Biology, Harvard Medical School, Boston, MA 02215, USA,Ludwig Center at Harvard, Boston, MA 02215, USA
| | - Erin H. Seeley
- Department of Chemistry, University of Texas at Austin, Austin, TX, USA
| | - Nicholas Navin
- Department of Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA,Graduate School of Biomedical Sciences, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Robert J. Downey
- Thoracic Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA,Correspondence: (R.J.D.), (F.M.)
| | - Franziska Michor
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA 02215, USA,Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA,Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA,Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA,Ludwig Center at Harvard, Boston, MA 02215, USA,Center for Cancer Evolution, Dana-Farber Cancer Institute, Boston, MA 02215, USA,Lead contact,Correspondence: (R.J.D.), (F.M.)
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8
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Kishi M, Asgarova A, Desterke C, Chaker D, Artus J, Turhan AG, Bennaceur-Griscelli A, Griscelli F. Evidence of Antitumor and Antimetastatic Potential of Induced Pluripotent Stem Cell-Based Vaccines in Cancer Immunotherapy. Front Med (Lausanne) 2021; 8:729018. [PMID: 34957134 PMCID: PMC8702815 DOI: 10.3389/fmed.2021.729018] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Accepted: 11/18/2021] [Indexed: 12/27/2022] Open
Abstract
Cancer is maintained by the activity of a rare population of self-renewing "cancer stem cells" (CSCs), which are resistant to conventional therapies. CSCs over-express several proteins shared with induced pluripotent stem cells (iPSCs). We show here that allogenic or autologous murine iPSCs, combined with a histone deacetylase inhibitor (HDACi), are able to elicit major anti-tumor responses in a highly aggressive triple-negative breast cancer, as a relevant cancer stemness model. This immunotherapy strategy was effective in preventing tumor establishment and efficiently targeted CSCs by inducing extensive modifications of the tumor microenvironment. The anti-tumoral effect was correlated with the generation of CD4+, CD8+ T cells, and CD44+ CD62L- CCR7low CD127low T-effector memory cells, and the reduction of CD4+ CD25+FoxP3+ Tregs, Arg1+ CD11b+ Gr1+, and Arg1+ and CD11b+ Ly6+ myeloid-derived suppressor cell populations within the tumor. The anti-tumoral effect was associated with a reduction in metastatic dissemination and an improvement in the survival rate. These results demonstrate for the first time the clinical relevance of using an off-the-shelf allogeneic iPSC-based vaccine combined with an HDACi as a novel pan-cancer anti-cancer immunotherapy strategy against aggressive tumors harboring stemness features with high metastatic potential.
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Affiliation(s)
- Masae Kishi
- Institut National de la Santé et de la Recherche Médicale (INSERM) UA9-Human Pluripotent Stem Cell Core Facility, CITHERA Infrastructure-INGESTEM, Villejuif, France
| | - Afag Asgarova
- Institut National de la Santé et de la Recherche Médicale (INSERM) UA9-Human Pluripotent Stem Cell Core Facility, CITHERA Infrastructure-INGESTEM, Villejuif, France
| | - Christophe Desterke
- Institut National de la Santé et de la Recherche Médicale (INSERM) UA9-Human Pluripotent Stem Cell Core Facility, CITHERA Infrastructure-INGESTEM, Villejuif, France.,Université Paris-Saclay, Faculté de Médecine, Kremlin Bicêtre, France
| | - Diana Chaker
- Institut National de la Santé et de la Recherche Médicale (INSERM) UA9-Human Pluripotent Stem Cell Core Facility, CITHERA Infrastructure-INGESTEM, Villejuif, France
| | - Jérôme Artus
- Institut National de la Santé et de la Recherche Médicale (INSERM) UA9-Human Pluripotent Stem Cell Core Facility, CITHERA Infrastructure-INGESTEM, Villejuif, France.,Université Paris-Saclay, Faculté de Médecine, Kremlin Bicêtre, France
| | - Ali G Turhan
- Institut National de la Santé et de la Recherche Médicale (INSERM) UA9-Human Pluripotent Stem Cell Core Facility, CITHERA Infrastructure-INGESTEM, Villejuif, France.,Université Paris-Saclay, Faculté de Médecine, Kremlin Bicêtre, France.,APHP Paris-Saclay Service d'Hématologie, Hôpital Universitaire Paris Sud (AP-HP), Kremlin Bicêtre, France
| | - Annelise Bennaceur-Griscelli
- Institut National de la Santé et de la Recherche Médicale (INSERM) UA9-Human Pluripotent Stem Cell Core Facility, CITHERA Infrastructure-INGESTEM, Villejuif, France.,Université Paris-Saclay, Faculté de Médecine, Kremlin Bicêtre, France.,APHP Paris-Saclay Service d'Hématologie, Hôpital Universitaire Paris Sud (AP-HP), Kremlin Bicêtre, France
| | - Frank Griscelli
- Institut National de la Santé et de la Recherche Médicale (INSERM) UA9-Human Pluripotent Stem Cell Core Facility, CITHERA Infrastructure-INGESTEM, Villejuif, France.,Université Paris Descartes, Sorbonne Paris Cité, Faculté des Sciences Pharmaceutiques et Biologiques, Paris, France.,Département de Biologie Médicale et Pathologie Médicales, Gustave Roussy Cancer Campus, Villejuif, France
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9
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Yu X, Xu J. A 'Goldmine' for digging cancer-specific targets: the genes essential for embryo development but non-essential for adult life. J Mol Cell Biol 2021; 12:669-673. [PMID: 32470104 PMCID: PMC7749735 DOI: 10.1093/jmcb/mjaa024] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2019] [Revised: 05/12/2020] [Accepted: 05/25/2020] [Indexed: 12/12/2022] Open
Affiliation(s)
- Xiaobin Yu
- Department of Molecular and Cellular Biology, Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Jianming Xu
- Department of Molecular and Cellular Biology, Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
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10
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Iliopoulos A, Beis G, Apostolou P, Papasotiriou I. Complex Networks, Gene Expression and Cancer Complexity: A Brief Review of Methodology and Applications. Curr Bioinform 2020. [DOI: 10.2174/1574893614666191017093504] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
In this brief survey, various aspects of cancer complexity and how this complexity can
be confronted using modern complex networks’ theory and gene expression datasets, are described.
In particular, the causes and the basic features of cancer complexity, as well as the challenges
it brought are underlined, while the importance of gene expression data in cancer research
and in reverse engineering of gene co-expression networks is highlighted. In addition, an introduction
to the corresponding theoretical and mathematical framework of graph theory and complex
networks is provided. The basics of network reconstruction along with the limitations of gene
network inference, the enrichment and survival analysis, evolution, robustness-resilience and cascades
in complex networks, are described. Finally, an indicative and suggestive example of a cancer
gene co-expression network inference and analysis is given.
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Affiliation(s)
- A.C. Iliopoulos
- Research and Development Department, Research Genetic Cancer Centre S.A., Florina, Greece
| | - G. Beis
- Research and Development Department, Research Genetic Cancer Centre S.A., Florina, Greece
| | - P. Apostolou
- Research and Development Department, Research Genetic Cancer Centre S.A., Florina, Greece
| | - I. Papasotiriou
- Research Genetic Cancer Centre International GmbH, Zug, Switzerland
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11
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Lu X, Chen HM, Qian XQ, Gui JF. Transcriptome analysis of grass carp (Ctenopharyngodon idella) between fast- and slow-growing fish. COMPARATIVE BIOCHEMISTRY AND PHYSIOLOGY D-GENOMICS & PROTEOMICS 2020; 35:100688. [PMID: 32454298 DOI: 10.1016/j.cbd.2020.100688] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/03/2019] [Revised: 04/11/2020] [Accepted: 04/30/2020] [Indexed: 12/15/2022]
Abstract
Grass carp is one of the most important freshwater aquaculture species in China. However, the mechanisms underlying the growth of muscle tissue in the fish are unclear. High-throughput RNA-Seq was used to analyze the transcriptome of grass carp muscle tissue between fast- and slow-growing fish family groups. Twenty-four individuals each from 4 fast-growing families and 4 slow-growing families were used to reduce background noise. 71 up-regulated and 35 down-regulated genes were identified in the differentially expressed genes (DEGs). GO and KEGG enrichment analyses revealed the DEGs were involved in the GH/IGF axis, calcium metabolism, protein and glycogen synthesis, oxygen transport, cytoskeletal and myofibrillar components. IGFBP1 was up-regulated in big fish while GHR2 was down-regulated. Glutamic pyruvate transaminase 2, an indicator of liver tissue damage, was down-regulated in big grass carp, which indicates that the fish was better adapted to an artificially formulated diet. GAPDH, the rate-limiting enzyme in glycolytic flux was highly expressed in fast-growing grass carp, reflecting enhanced carbohydrate metabolism. Higher expression of ALAS2 and myoglobin 1 in big grass carp, related to oxygen transport might promote aerobic exercise along with food intake and muscle growth. Genes for cytoskeletal and myofibrillar components such as tropomyosin, meromyosin, and troponin I were also up-regulated in big grass carp. These results provide valuable information about the key genes for use as biomarkers of growth in selective breeding programs for grass carp and contribute to our understanding of the molecular mechanisms and regulative pathways regulating growth in fish.
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Affiliation(s)
- Xue Lu
- Key Laboratory of Utilization for Microbiological Resources in Breeding Industries, Ministry of Agriculture and Rural Affairs, Haid Central Research Institute, Animal Husbandry and Fisheries Research Center of Guangdong Haid Group Co., Ltd., Guangzhou 511400, China
| | - Hui-Min Chen
- Key Laboratory of Utilization for Microbiological Resources in Breeding Industries, Ministry of Agriculture and Rural Affairs, Haid Central Research Institute, Animal Husbandry and Fisheries Research Center of Guangdong Haid Group Co., Ltd., Guangzhou 511400, China
| | - Xue-Qiao Qian
- Key Laboratory of Utilization for Microbiological Resources in Breeding Industries, Ministry of Agriculture and Rural Affairs, Haid Central Research Institute, Animal Husbandry and Fisheries Research Center of Guangdong Haid Group Co., Ltd., Guangzhou 511400, China.
| | - Jian-Fang Gui
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, University of the Chinese Academy of Sciences, Wuhan 430072, China
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12
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Chiodi I, Mondello C. Life style factors, tumor cell plasticity and cancer stem cells. MUTATION RESEARCH-REVIEWS IN MUTATION RESEARCH 2020; 784:108308. [PMID: 32430096 DOI: 10.1016/j.mrrev.2020.108308] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/19/2019] [Revised: 04/06/2020] [Accepted: 04/07/2020] [Indexed: 12/15/2022]
Abstract
Cancers are heterogeneous tissues and a layer of heterogeneity is determined by the presence of cells showing stemness traits, known as cancer stem cells (CSCs). Evidence indicates that CSCs are important players in tumor development, progression and relapse. Oncogenic transformation of normal stem cells can give rise to CSCs, but CSCs can also originate from de-differentiation of bulk tumor cells. Thus, factors promoting the increase of normal stem cell pools or stimulating the acquisition of stemness features by tumor cells can have serious consequences on cancer origin and progression. In this review, we will first give an overview of the CSC model of cancer development and we will then discuss the role of life style factors, such as high caloric diet, alcohol drinking and smoking, on the widening of stem cell pools and the induction of CSC features in tumors. Finally, we will discuss some healthy life style factors that can help to prevent cancer.
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Affiliation(s)
- Ilaria Chiodi
- Istituto di Genetica Molecolare L. L. Cavalli-Sforza, CNR, via Abbiategrasso 207, 27100, Pavia, Italy
| | - Chiara Mondello
- Istituto di Genetica Molecolare L. L. Cavalli-Sforza, CNR, via Abbiategrasso 207, 27100, Pavia, Italy.
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13
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Tang Q, Yin D, Wang Y, Du W, Qin Y, Ding A, Li H. Cancer Stem Cells and Combination Therapies to Eradicate Them. Curr Pharm Des 2020; 26:1994-2008. [PMID: 32250222 DOI: 10.2174/1381612826666200406083756] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2019] [Accepted: 02/13/2020] [Indexed: 12/23/2022]
Abstract
Cancer stem cells (CSCs) show self-renewal ability and multipotential differentiation, like normal stem or progenitor cells, and which proliferate uncontrollably and can escape the effects of drugs and phagocytosis by immune cells. Traditional monotherapies, such as surgical resection, radiotherapy and chemotherapy, cannot eradicate CSCs, however, combination therapy may be more effective at eliminating CSCs. The present review summarizes the characteristics of CSCs and several promising combination therapies to eradicate them.
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Affiliation(s)
- Qi Tang
- College of Pharmacy and Biological Engineering, Chengdu University, Chengdu, China.,Sichuan Industrial Institute of Antibiotics, Chengdu University, Chengdu, China
| | - Dan Yin
- Sichuan Industrial Institute of Antibiotics, Chengdu University, Chengdu, China
| | - Yao Wang
- College of Pharmacy and Biological Engineering, Chengdu University, Chengdu, China
| | - Wenxuan Du
- College of Pharmacy and Biological Engineering, Chengdu University, Chengdu, China
| | - Yuhan Qin
- College of Pharmacy and Biological Engineering, Chengdu University, Chengdu, China
| | - Anni Ding
- College of Pharmacy and Biological Engineering, Chengdu University, Chengdu, China
| | - Hanmei Li
- College of Pharmacy and Biological Engineering, Chengdu University, Chengdu, China
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14
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Ayob AZ, Ramasamy TS. Cancer stem cells as key drivers of tumour progression. J Biomed Sci 2018; 25:20. [PMID: 29506506 PMCID: PMC5838954 DOI: 10.1186/s12929-018-0426-4] [Citation(s) in RCA: 550] [Impact Index Per Article: 91.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2017] [Accepted: 03/01/2018] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Cancer stem cells (CSCs) are subpopulations of cancer cells sharing similar characteristics as normal stem or progenitor cells such as self-renewal ability and multi-lineage differentiation to drive tumour growth and heterogeneity. Throughout the cancer progression, CSC can further be induced from differentiated cancer cells via the adaptation and cross-talks with the tumour microenvironment as well as a response from therapeutic pressures, therefore contributes to their heterogeneous phenotypes. Challengingly, conventional cancer treatments target the bulk of the tumour and are unable to target CSCs due to their highly resistance nature, leading to metastasis and tumour recurrence. MAIN BODY This review highlights the roles of CSCs in tumour initiation, progression and metastasis with a focus on the cellular and molecular regulators that influence their phenotypical changes and behaviours in the different stages of cancer progression. We delineate the cross-talks between CSCs with the tumour microenvironment that support their intrinsic properties including survival, stemness, quiescence and their cellular and molecular adaptation in response to therapeutic pressure. An insight into the distinct roles of CSCs in promoting angiogenesis and metastasis has been captured based on in vitro and in vivo evidences. CONCLUSION Given dynamic cellular events along the cancer progression and contributions of resistance nature by CSCs, understanding their molecular and cellular regulatory mechanism in a heterogeneous nature, provides significant cornerstone for the development of CSC-specific therapeutics.
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Affiliation(s)
- Ain Zubaidah Ayob
- Stem Cell Biology Laboratory, Department of Molecular Medicine, Faculty of Medicine, University of Malaya, 50603 Wilayah Persekutuan Kuala Lumpur, Malaysia
| | - Thamil Selvee Ramasamy
- Stem Cell Biology Laboratory, Department of Molecular Medicine, Faculty of Medicine, University of Malaya, 50603 Wilayah Persekutuan Kuala Lumpur, Malaysia
- Cell and Molecular Laboratory (CMBL), The Dean’s Office, Faculty of Medicine, University of Malaya, 50603 Wilayah Persekutuan Kuala Lumpur, Malaysia
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