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Zhao N, Lai C, Wang Y, Dai S, Gu H. Understanding the role of DNA methylation in colorectal cancer: Mechanisms, detection, and clinical significance. Biochim Biophys Acta Rev Cancer 2024; 1879:189096. [PMID: 38499079 DOI: 10.1016/j.bbcan.2024.189096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Revised: 02/18/2024] [Accepted: 03/13/2024] [Indexed: 03/20/2024]
Abstract
Colorectal cancer (CRC) is one of the deadliest malignancies worldwide, ranking third in incidence and second in mortality. Remarkably, early stage localized CRC has a 5-year survival rate of over 90%; in stark contrast, the corresponding 5-year survival rate for metastatic CRC (mCRC) is only 14%. Compounding this problem is the staggering lack of effective therapeutic strategies. Beyond genetic mutations, which have been identified as critical instigators of CRC initiation and progression, the importance of epigenetic modifications, particularly DNA methylation (DNAm), cannot be underestimated, given that DNAm can be used for diagnosis, treatment monitoring and prognostic evaluation. This review addresses the intricate mechanisms governing aberrant DNAm in CRC and its profound impact on critical oncogenic pathways. In addition, a comprehensive review of the various techniques used to detect DNAm alterations in CRC is provided, along with an exploration of the clinical utility of cancer-specific DNAm alterations.
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Affiliation(s)
- Ningning Zhao
- Anhui Province Key Laboratory of Medical Physics and Technology, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China; Hefei Cancer Hospital, Chinese Academy of Sciences, Hefei 230031, China
| | - Chuanxi Lai
- Division of Colorectal Surgery, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310016, China
| | - Yunfei Wang
- Zhejiang ShengTing Biotech. Ltd, Hangzhou 310000, China
| | - Sheng Dai
- Division of Colorectal Surgery, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310016, China.
| | - Hongcang Gu
- Anhui Province Key Laboratory of Medical Physics and Technology, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China; Hefei Cancer Hospital, Chinese Academy of Sciences, Hefei 230031, China.
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2
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Hao M, Jiang H, Zhao Y, Li C, Jiang J. Identification of potential biomarkers for aging diagnosis of mesenchymal stem cells derived from the aged donors. Stem Cell Res Ther 2024; 15:87. [PMID: 38520027 PMCID: PMC10960456 DOI: 10.1186/s13287-024-03689-1] [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] [Received: 10/20/2023] [Accepted: 02/27/2024] [Indexed: 03/25/2024] Open
Abstract
BACKGROUND The clinical application of human bone-marrow derived mesenchymal stem cells (MSCs) for the treatment of refractory diseases has achieved remarkable results. However, there is a need for a systematic evaluation of the quality and safety of MSCs sourced from donors. In this study, we sought to assess one potential factor that might impact quality, namely the age of the donor. METHODS We downloaded two data sets from each of two Gene Expression Omnibus (GEO), GSE39035 and GSE97311 databases, namely samples form young (< 65 years of age) and old (> 65) donor groups. Through, bioinformatics analysis and experimental validation to these retrieved data, we found that MSCs derived from aged donors can lead to differential expression of gene profiles compared with those from young donors, and potentially affect the function of MSCs, and may even induce malignant tumors. RESULTS We identified a total of 337 differentially expressed genes (DEGs), including two upregulated and eight downregulated genes from the databases of both GSE39035 and GSE97311. We further identified 13 hub genes. Six of them, TBX15, IGF1, GATA2, PITX2, SNAI1 and VCAN, were highly expressed in many human malignancies in Human Protein Atlas database. In the MSCs in vitro senescent cell model, qPCR analysis validated that all six hub genes were highly expressed in senescent MSCs. Our findings confirm that aged donors of MSCs have a significant effect on gene expression profiles. The MSCs from old donors have the potential to cause a variety of malignancies. These TBX15, IGF1, GATA2, PITX2, SNAI1, VCAN genes could be used as potential biomarkers to diagnosis aging state of donor MSCs, and evaluate whether MSCs derived from an aged donor could be used for therapy in the clinic. Our findings provide a diagnostic basis for the clinical use of MSCs to treat a variety of diseases. CONCLUSIONS Therefore, our findings not only provide guidance for the safe and standardized use of MSCs in the clinic for the treatment of various diseases, but also provide insights into the use of cell regeneration approaches to reverse aging and support rejuvenation.
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Affiliation(s)
- Miao Hao
- Scientific Research Center, China-Japan Union Hospital of Jilin University, 130000, Changchun, Jilin, China
| | - Hongyu Jiang
- Life Spring AKY Pharmaceuticals, 130000, Changchun, Jilin, China
| | - Yuan Zhao
- Scientific Research Center, China-Japan Union Hospital of Jilin University, 130000, Changchun, Jilin, China
| | - Chunyi Li
- Scientific Research Center, China-Japan Union Hospital of Jilin University, 130000, Changchun, Jilin, China.
- Institute of Antler Science and Product Technology, Changchun Sci-Tech University, 130000, Changchun, Jilin, China.
| | - Jinlan Jiang
- Scientific Research Center, China-Japan Union Hospital of Jilin University, 130000, Changchun, Jilin, China.
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Zang D, Dong Z, Liu Y, Chen Q. Single-cell RNA sequencing of anaplastic ependymoma and H3K27M-mutant diffuse midline glioma. BMC Neurol 2024; 24:74. [PMID: 38383423 PMCID: PMC10880286 DOI: 10.1186/s12883-024-03558-7] [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] [Received: 07/31/2023] [Accepted: 02/01/2024] [Indexed: 02/23/2024] Open
Abstract
BACKGROUND Anaplastic ependymoma and H3K27M-mutant diffuse midline glioma are two common subtypes of brain tumors with poor long-term prognosis. The present study analyzed and compared the differences in cell types between two tumors by single-cell RNA sequencing (scRNA-seq) technology. METHODS ScRNA-seq was performed to profile cells from cancer tissue from anaplastic ependymoma patient and H3K27M-mutant diffuse midline glioma patient. Cell clustering, marker gene identification, cell type annotation, copy number variation analysis and function analysis of differentially expressed genes were then performed. RESULTS A total of 11,219 cells were obtained from anaplastic ependymoma and H3K27M mutant diffuse midline glioma, and these cells categorized into 12 distinct clusters. Each cell cluster could be characterized with specific cell markers to indicate cellular heterogeneity. Five cell types were annotated in each sample, including astrocyte, oligodendrocytes, microglial cell, neural progenitor cell and immune cell. The cluster types and proportion of cell types were not consistent between the two brain tumors. Functional analyses suggest that these cell clusters are involved in tumor-associated pathways, with slight differences in the cells of origin between the two tumors. In addition, cell communication analysis showed that the NRG3-ERBB4 pair is a key Ligand-receptor pair for anaplastic ependymoma, while in H3K27M-mutant diffuse midline glioma it is the PTN-PTPRZ1 pair that establishes contact with other cells. CONCLUSION There was intratumor heterogeneity in anaplastic ependymoma and H3K27M mutant diffuse midline glioma, and that the subtype differences may be due to differences in the origin of the cells.
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Affiliation(s)
- Dongdong Zang
- Department of Neurosurgery, Shenzhen Children's Hospital, 7019 Yitian Road, Futian District, Shenzhen, Guangdong, China
| | - Zilong Dong
- Department of Neurosurgery, Shenzhen Children's Hospital, 7019 Yitian Road, Futian District, Shenzhen, Guangdong, China
| | - Yuecheng Liu
- Department of Neurosurgery, Shenzhen Children's Hospital, 7019 Yitian Road, Futian District, Shenzhen, Guangdong, China
| | - Qian Chen
- Department of Neurosurgery, Shenzhen Children's Hospital, 7019 Yitian Road, Futian District, Shenzhen, Guangdong, China.
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4
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Liu G, Zhang T, Gui D, Liu Q. Clinical significance and immune landscape of angiogenesis-related genes in bladder cancer. Aging (Albany NY) 2023; 15:13118-13133. [PMID: 37988196 DOI: 10.18632/aging.205222] [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: 05/06/2023] [Accepted: 10/17/2023] [Indexed: 11/23/2023]
Abstract
BACKGROUND Angiogenesis is a major promotor of tumor progression and metastasis. Nevertheless, it is undetermined how angiogenesis-related genes (ARGs) influence bladder cancer. METHODS The profiles of bladder cancer gene expression were collected from the TCGA-BLCA cohort. The LASSO regression analysis was used to build an angiogenesis-related signature (ARG_score) with the prognostic ARGs. Verification analyses were conducted across the GSE48075 dataset to demonstrate the robustness of the signature. Differences between the two risk groups based on clinical outcomes, immune landscape, mutation status, chemotherapeutic effectiveness for anticancer drugs, and immunotherapy efficacy were analyzed. A nomogram was developed to improve the clinical efficacy of this predictive tool. The expression levels of model genes in normal bladder epithelial cell lines (SV-HUC-1) and bladder cancer cell lines (T24 and 5637) were detected by qRT-PCR assay. RESULTS Four angiogenesis-associated gene signature was constructed based on the LASSO regression algorithm. The signature showed independent risk factors of overall survival for bladder cancer, validated using two external survival datasets. Additionally, we built a prognostic nomogram to improve the practicality of the ARG_score. High-risk individuals showed stronger immunocyte infiltration, immune-related functions, elevated expression of immune checkpoints, reduced TIDE score, and higher combined IPS-PD-1 and IPS-CTLA4 scores, suggesting a heightened responsiveness to immune checkpoint inhibitors. Furthermore, patients with low and high risk showed distinct responsiveness to anticancer drugs. The expression levels of 5 model genes (COL5A2, JAG1, MSX1, OLR1, and STC) were significantly increased in bladder cancer cell lines (T24 and 5637) compared with the normal bladder epithelial cell line SV-HUC-1. CONCLUSIONS The model constructed based on ARGs may have wide application in predicting outcomes and therapeutic responses.
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Affiliation(s)
- Gang Liu
- Department of Urology, Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University, Huangshi, Hubei, People’s Republic of China
| | - Tingting Zhang
- Department of Clinical Laboratory, Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University, Huangshi, Hubei, People’s Republic of China
| | - Dingwen Gui
- Department of Urology, Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University, Huangshi, Hubei, People’s Republic of China
| | - Qin Liu
- Department of Breast Surgery, Thyroid Surgery, Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University, Huangshi, Hubei, People’s Republic of China
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Liu C, Tang H, Hu N, Li T. Methylomics and cancer: the current state of methylation profiling and marker development for clinical care. Cancer Cell Int 2023; 23:242. [PMID: 37840147 PMCID: PMC10577916 DOI: 10.1186/s12935-023-03074-7] [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: 07/14/2023] [Accepted: 09/20/2023] [Indexed: 10/17/2023] Open
Abstract
Epigenetic modifications have long been recognized as an essential level in transcriptional regulation linking behavior and environmental conditions or stimuli with biological processes and disease development. Among them, methylation is the most abundant of these reversible epigenetic marks, predominantly occurring on DNA, RNA, and histones. Methylation modification is intimately involved in regulating gene transcription and cell differentiation, while aberrant methylation status has been linked with cancer development in several malignancies. Early detection and precise restoration of dysregulated methylation form the basis for several epigenetics-based therapeutic strategies. In this review, we summarize the current basic understanding of the regulation and mechanisms responsible for methylation modification and cover several cutting-edge research techniques for detecting methylation across the genome and transcriptome. We then explore recent advances in clinical diagnostic applications of methylation markers of various cancers and address the current state and future prospects of methylation modifications in therapies for different diseases, especially comparing pharmacological methylase/demethylase inhibitors with the CRISPRoff/on methylation editing systems. This review thus provides a resource for understanding the emerging role of epigenetic methylation in cancer, the use of methylation-based biomarkers in cancer detection, and novel methylation-targeted drugs.
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Affiliation(s)
- Chengyin Liu
- Department of Biochemistry and Molecular & Cellular Biology, Georgetown University Medical Center, Georgetown University, Washington, DC, USA
| | - Han Tang
- BioChain (Beijing) Science & Technology Inc., Beijing, People's Republic of China
| | - Nana Hu
- BioChain (Beijing) Science & Technology Inc., Beijing, People's Republic of China
| | - Tianbao Li
- Department of Molecular Medicine, The University of Texas Health, San Antonio, USA.
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Lu Y, Peng R, Dong L, Xia K, Wu R, Xu S, Wang J. Multiomics dynamic learning enables personalized diagnosis and prognosis for pancancer and cancer subtypes. Brief Bioinform 2023; 24:bbad378. [PMID: 37889117 PMCID: PMC10605059 DOI: 10.1093/bib/bbad378] [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] [Received: 07/07/2023] [Revised: 09/26/2023] [Accepted: 09/30/2023] [Indexed: 10/28/2023] Open
Abstract
Artificial intelligence (AI) approaches in cancer analysis typically utilize a 'one-size-fits-all' methodology characterizing average patient responses. This manner neglects the diverse conditions in the pancancer and cancer subtypes of individual patients, resulting in suboptimal outcomes in diagnosis and treatment. To overcome this limitation, we shift from a blanket application of statistics to a focus on the explicit recognition of patient-specific abnormalities. Our objective is to use multiomics data to empower clinicians with personalized molecular descriptions that allow for customized diagnosis and interventions. Here, we propose a highly trustworthy multiomics learning (HTML) framework that employs multiomics self-adaptive dynamic learning to process each sample with data-dependent architectures and computational flows, ensuring personalized and trustworthy patient-centering of cancer diagnosis and prognosis. Extensive testing on a 33-type pancancer dataset and 12 cancer subtype datasets underscored the superior performance of HTML compared with static-architecture-based methods. Our findings also highlighting the potential of HTML in elucidating complex biological pathogenesis and paving the way for improved patient-specific care in cancer treatment.
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Affiliation(s)
- Yuxing Lu
- Department of Big Data and Biomedical AI, College of Future Technology, Peking University, Beijing, China
| | - Rui Peng
- Department of Big Data and Biomedical AI, College of Future Technology, Peking University, Beijing, China
| | - Lingkai Dong
- Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Hong Kong SAR, China
| | - Kun Xia
- Department of Big Data and Biomedical AI, College of Future Technology, Peking University, Beijing, China
| | - Renjie Wu
- School of Life Sciences, Peking University, Beijing, China
| | - Shuai Xu
- Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, China
| | - Jinzhuo Wang
- Department of Big Data and Biomedical AI, College of Future Technology, Peking University, Beijing, China
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Song P, Li Y, Wang F, Pu L, Bao L, Gao H, Zhu C, Wang M, Tao L. Genome-wide screening for differentially methylated long noncoding RNAs identifies LIFR-AS1 as an epigenetically regulated lncRNA that inhibits the progression of colorectal cancer. Clin Epigenetics 2022; 14:138. [PMID: 36316703 PMCID: PMC9624034 DOI: 10.1186/s13148-022-01361-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2022] [Accepted: 10/17/2022] [Indexed: 11/29/2022] Open
Abstract
Background Aberrant DNA methylation is an epigenetic marker that has been linked to the pathogenesis of colorectal cancer (CRC). Long noncoding RNAs (lncRNAs) have been increasingly identified to be associated with tumorigenic processes of CRC. Identifying epigenetically dysregulated lncRNAs and characterizing their effects during carcinogenesis are focuses of cancer research. Methods Differentially methylated loci and expressed lncRNAs were identified by integrating DNA methylome and transcriptome analyses using The Cancer Genome Atlas database. Bisulfite sequencing PCR (BSP) was performed to analyze LIFR-AS1 promoter methylation status. The functional roles of LIFR-AS1 in CRC were determined by in vitro and in vivo experiments. Results We identified a novel hypermethylated lncRNA, LIFR-AS1, that was downregulated and associated with tumorigenesis, metastasis, and poor prognosis in CRC. High methylation burden of LIFR-AS1 indicated a poor survival of CRC patients. Promoter hypermethylation of LIFR-AS1 in tumor tissues was confirmed by BSP. Functional assays revealed that LIFR-AS1 could competitively bind to hsa-miR-29b-3p, and repressed colon cancer cell proliferation, colony formation and invasion. LIFR-AS1 also inhibited tumor growth in a mouse xenograft model of CRC. Conclusions Our results showed that the identified DNA methylation-dysregulated lncRNAs may be potential biomarkers and highlighted a role for LIFR-AS1 as a tumor suppressor in CRC. Supplementary Information The online version contains supplementary material available at 10.1186/s13148-022-01361-0.
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Affiliation(s)
- Peng Song
- grid.412676.00000 0004 1799 0784Department of Gastrointestinal Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Ying Li
- grid.254147.10000 0000 9776 7793State Key Laboratory of Natural Medicines, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing, China
| | - Feng Wang
- grid.412676.00000 0004 1799 0784Department of Gastrointestinal Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Lingxiao Pu
- grid.412676.00000 0004 1799 0784Department of Gastrointestinal Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Linsen Bao
- grid.412676.00000 0004 1799 0784Department of Gastrointestinal Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Hengfei Gao
- grid.412676.00000 0004 1799 0784Department of Gastrointestinal Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Chuandong Zhu
- grid.410745.30000 0004 1765 1045Department of Oncology, Nanjing Second Hospital, Nanjing University of Chinese Medicine, Nanjing, China
| | - Meng Wang
- grid.412676.00000 0004 1799 0784Department of Gastrointestinal Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Liang Tao
- grid.412676.00000 0004 1799 0784Department of Gastrointestinal Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
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Chen CY, Wu JJ, Lin YJ, Hsu CH, Hu JM, Chang PK, Sun CA, Yang T, Su JQ, Chou YC. Significance of Hypermethylation of Tumor-Suppressor Genes PTGER4 and ZNF43 at CpG Sites in the Prognosis of Colorectal Cancer. Int J Mol Sci 2022; 23:ijms231810225. [PMID: 36142151 PMCID: PMC9499344 DOI: 10.3390/ijms231810225] [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: 08/11/2022] [Revised: 08/29/2022] [Accepted: 08/30/2022] [Indexed: 11/26/2022] Open
Abstract
The status of DNA methylation in primary tumor tissue and adjacent tumor-free tissue is associated with the occurrence of aggressive colorectal cancer (CRC) and can aid personalized cancer treatments at early stages. Tumor tissue and matched adjacent nontumorous tissue were extracted from 208 patients with CRC, and the correlation between the methylation levels of PTGER4 and ZNF43 at certain CpG loci and the prognostic factors of CRC was determined using the MassARRAY System testing platform. The Wilcoxon signed-rank test, a Chi-square test, and McNemar’s test were used for group comparisons, and Kaplan–Meier curves and a log-rank test were used for prediction. The hypermethylation of PTGER4 at the CpG_4, CpG_5, CpG_15, and CpG_17 tumor tissue sites was strongly correlated with shorter recurrence-free survival (RFS), progression-free survival (PFS), and overall survival (OS) [hazard ratio (HR) = 3.26, 95% confidence interval (CI) = 1.38–7.73 for RFS, HR = 2.35 and 95% CI = 1.17–4.71 for PFS, HR = 4.32 and 95% CI = 1.8–10.5 for OS]. By contrast, RFS and PFS were significantly longer in the case of increased methylation of ZNF43 at the CpG_5 site of normal tissue [HR = 2.33, 95% CI = 1.07–5.08 for RFS, HR = 2.42 and 95% CI = 1.19–4.91 for PFS]. Aberrant methylation at specific CpG sites indicates tissue with aggressive behavior. Therefore, the differential methylation of PTGER4 and ZNF43 at specific loci can be employed for the prognosis of patients with CRC.
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Affiliation(s)
- Chao-Yang Chen
- Division of Colorectal Surgery, Department of Surgery, Tri-Service General Hospital, National Defense Medical Center, Taipei 114, Taiwan
| | - Jia-Jheng Wu
- School of Public Health, National Defense Medical Center, Taipei 114, Taiwan
| | - Yu-Jyun Lin
- School of Public Health, National Defense Medical Center, Taipei 114, Taiwan
| | - Chih-Hsiung Hsu
- School of Public Health, National Defense Medical Center, Taipei 114, Taiwan
| | - Je-Ming Hu
- Division of Colorectal Surgery, Department of Surgery, Tri-Service General Hospital, National Defense Medical Center, Taipei 114, Taiwan
- Graduate Institute of Medical Sciences, National Defense Medical Center, Taipei 114, Taiwan
| | - Pi-Kai Chang
- Division of Colorectal Surgery, Department of Surgery, Tri-Service General Hospital, National Defense Medical Center, Taipei 114, Taiwan
- Graduate Institute of Medical Sciences, National Defense Medical Center, Taipei 114, Taiwan
| | - Chien-An Sun
- Department of Public Health, College of Medicine, Fu-Jen Catholic University, New Taipei City 242, Taiwan
- Data Science Center, College of Medicine, Fu-Jen Catholic University, New Taipei City 242, Taiwan
| | - Tsan Yang
- Department of Health Business Administration, Meiho University, Pingtung 912, Taiwan
| | - Jing-Quan Su
- Department of Medical Education and Research, Kaohsiung Veterans General Hospital, Kaohsiung 813, Taiwan
- Correspondence: (J.-Q.S.); (Y.-C.C.); Tel.: +886-7-3422121 (ext. 78058) (J.-Q.S.); +886-2-87923100 (ext. 18437) (Y.-C.C.); Fax: +886-7-3468056 (J.-Q.S.); +886-2-87923147 (Y.-C.C.)
| | - Yu-Ching Chou
- School of Public Health, National Defense Medical Center, Taipei 114, Taiwan
- Correspondence: (J.-Q.S.); (Y.-C.C.); Tel.: +886-7-3422121 (ext. 78058) (J.-Q.S.); +886-2-87923100 (ext. 18437) (Y.-C.C.); Fax: +886-7-3468056 (J.-Q.S.); +886-2-87923147 (Y.-C.C.)
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Wu A, Liu J, Zhang X, Niu C, Shu G, Yin G. Comprehensive Network Analysis of Dysregulated Genes Revealed MNX1‐AS1/ hsa‐miR‐4697‐3p/ HOXB13 Axis in OC Chemotherapy Response. Cancer Sci 2022; 113:2627-2641. [PMID: 35639251 PMCID: PMC9357658 DOI: 10.1111/cas.15447] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2022] [Revised: 05/17/2022] [Accepted: 05/27/2022] [Indexed: 12/03/2022] Open
Abstract
Poor chemotherapy response is the main obstacle of ovarian cancer (OC) treatment. Platinum‐refractory and ‐resistant patients are associated with a worse outcome than platinum‐sensitive and partially sensitive patients, but the comprehensive similarities and differences among them are not yet clear. In this study, we analyzed the data of patients with different chemotherapy response in The Cancer Genome Atlas. We found a minority of altered genes were overlapped in refractory and resistant groups, as did the enriched pathways and Gene Ontology terms. We noticed that the neural signaling and drug metabolism enzymes were more significantly enriched and the protein–protein interaction supported these results. The transcription analysis highlighted PDX1 as the common and central transcription factor in both refractory and resistant groups. The competing endogenous RNA (ceRNA) network shared no common ceRNA pairs, indicating a major difference in noncoding RNA post‐transcriptional regulation. In the end, we validated the expression, regulation, binding, and effect on chemotherapy response for selected MNX1‐AS1/hsa‐miR‐4697‐3p/HOXB13 in OC cell lines. Our study offered a novel and comprehensive insight into chemotherapy response, and potential targets for improving chemotherapy response in OC.
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Affiliation(s)
- Anqi Wu
- Department of Pathology Xiangya Hospital School of Basic Medical Sciences Central South University Changsha 410013 China
- The Second Affiliated Hospital Department of Clinical Research Center Hengyang Medical School University of South China Hengyang 421001 China
| | - Jiaqi Liu
- Department of Pathology Xiangya Hospital School of Basic Medical Sciences Central South University Changsha 410013 China
| | - Xiaojun Zhang
- Department of Pathology Xiangya Hospital School of Basic Medical Sciences Central South University Changsha 410013 China
| | - Chenxi Niu
- Department of Pathology Xiangya Hospital School of Basic Medical Sciences Central South University Changsha 410013 China
| | - Guang Shu
- Department of Pathology Xiangya Hospital School of Basic Medical Sciences Central South University Changsha 410013 China
- Department of Histology and Embryology School of Basic Medical Sciences Central South University Changsha 410013 China
| | - Gang Yin
- Department of Pathology Xiangya Hospital School of Basic Medical Sciences Central South University Changsha 410013 China
- China‐Africa Research Center of Infectious Diseases School of Basic Medical sciences Central South University Changsha 410013 China
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