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González-Sánchez GD, Granados-López AJ, López-Hernández Y, Robles MJG, López JA. miRNAs as Interconnectors between Obesity and Cancer. Noncoding RNA 2024; 10:24. [PMID: 38668382 PMCID: PMC11055034 DOI: 10.3390/ncrna10020024] [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: 12/18/2023] [Revised: 03/21/2024] [Accepted: 04/04/2024] [Indexed: 04/29/2024] Open
Abstract
Obesity and cancer are a concern of global interest. It is proven that obesity may trigger the development or progression of some types of cancer; however, the connection by non-coding RNAs has not been totally explored. In the present review, we discuss miRNAs and lncRNAs dysregulation involved in obesity and some cancers, shedding light on how these conditions may exacerbate one another through the dysregulation of ncRNAs. lncRNAs have been reported as regulating microRNAs. An in silico investigation of lncRNA and miRNA interplay is presented. Our investigation revealed 44 upregulated and 49 downregulated lncRNAs in obesity and cancer, respectively. miR-375, miR-494-3p, miR-1908, and miR-196 were found interacting with 1, 4, 4 and 4 lncRNAs, respectively, which are involved in PPARγ cell signaling regulation. Additionally, miR-130 was found to be downregulated in obesity and reported as modulating 5 lncRNAs controlling PPARγ cell signaling. Similarly, miR-128-3p and miR-143 were found to be downregulated in obesity and cancer, interacting with 5 and 4 lncRNAs, respectively, associated with MAPK cell signaling modulation. The delicate balance between miRNA and lncRNA expression emerges as a critical determinant in the development of obesity-associated cancers, presenting these molecules as promising biomarkers. However, additional and deeper studies are needed to reach solid conclusions about obesity and cancer connection by ncRNAs.
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Affiliation(s)
- Grecia Denisse González-Sánchez
- Doctorate in Biosciences, University Center of Los Altos, University of Guadalajara, Tepatitlán de Morelos C.P. 47620, Mexico;
| | - Angelica Judith Granados-López
- Laboratory of microRNAs and Cancer, Academic Unit of Biological Sciences, Autonomous University of Zacatecas “Francisco García Salinas”, Zacatecas C.P. 98066, Mexico;
| | - Yamilé López-Hernández
- Laboratory of Proteomics and Metabolomics, Cátedras-CONACYT, Academic Unit of Biological Sciences, Autonomous University of Zacatecas “Francisco García Salinas”, Zacatecas C.P. 98066, Mexico;
| | - Mayra Judith García Robles
- Biotechnology Department of the Polytechnic, University of Zacatecas, Fresnillo, Zacatecas C.P. 99059, Mexico
| | - Jesús Adrián López
- Laboratory of microRNAs and Cancer, Academic Unit of Biological Sciences, Autonomous University of Zacatecas “Francisco García Salinas”, Zacatecas C.P. 98066, Mexico;
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Li H, Zhang W, Liu Y, Cai Z, Lan A, Shu D, Shen M, Li K, Pu D, Tan W, Liu S, Peng Y. UTRN as a potential biomarker in breast cancer: a comprehensive bioinformatics and in vitro study. Sci Rep 2024; 14:7702. [PMID: 38565593 PMCID: PMC10987506 DOI: 10.1038/s41598-024-58124-5] [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: 12/28/2023] [Accepted: 03/26/2024] [Indexed: 04/04/2024] Open
Abstract
Utrophin (UTRN), known as a tumor suppressor, potentially regulates tumor development and the immune microenvironment. However, its impact on breast cancer's development and treatment remains unstudied. We conducted a thorough examination of UTRN using both bioinformatic and in vitro experiments in this study. We discovered UTRN expression decreased in breast cancer compared to standard samples. High UTRN expression correlated with better prognosis. Drug sensitivity tests and RT-qPCR assays revealed UTRN's pivotal role in tamoxifen resistance. Furthermore, the Kruskal-Wallis rank test indicated UTRN's potential as a valuable diagnostic biomarker for breast cancer and its utility in detecting T stage of breast cancer. Additionally, our results demonstrated UTRN's close association with immune cells, inhibitors, stimulators, receptors, and chemokines in breast cancer (BRCA). This research provides a novel perspective on UTRN's role in breast cancer's prognostic and therapeutic value. Low UTRN expression may contribute to tamoxifen resistance and a poor prognosis. Specifically, UTRN can improve clinical decision-making and raise the diagnosis accuracy of breast cancer.
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Affiliation(s)
- Han Li
- Department of Breast and Thyroid Surgery, the First Affiliated Hospital of Chongqing Medical University, No. 1 Youyi Road, Yuzhong District, Chongqing, China
| | - Wenjie Zhang
- Department of Breast and Thyroid Surgery, the First Affiliated Hospital of Chongqing Medical University, No. 1 Youyi Road, Yuzhong District, Chongqing, China
| | - Yang Liu
- Department of Breast and Thyroid Surgery, the First Affiliated Hospital of Chongqing Medical University, No. 1 Youyi Road, Yuzhong District, Chongqing, China
| | - Zehao Cai
- Department of Breast and Thyroid Surgery, the First Affiliated Hospital of Chongqing Medical University, No. 1 Youyi Road, Yuzhong District, Chongqing, China
| | - Ailin Lan
- Department of Breast and Thyroid Surgery, the First Affiliated Hospital of Chongqing Medical University, No. 1 Youyi Road, Yuzhong District, Chongqing, China
| | - Dan Shu
- Department of Breast and Thyroid Surgery, the First Affiliated Hospital of Chongqing Medical University, No. 1 Youyi Road, Yuzhong District, Chongqing, China
| | - Meiying Shen
- Department of Breast and Thyroid Surgery, the First Affiliated Hospital of Chongqing Medical University, No. 1 Youyi Road, Yuzhong District, Chongqing, China
| | - Kang Li
- Department of Breast and Thyroid Surgery, the First Affiliated Hospital of Chongqing Medical University, No. 1 Youyi Road, Yuzhong District, Chongqing, China
| | - Dongyao Pu
- Department of Breast and Thyroid Surgery, the First Affiliated Hospital of Chongqing Medical University, No. 1 Youyi Road, Yuzhong District, Chongqing, China
| | - Wenhao Tan
- Department of Breast and Thyroid Surgery, the First Affiliated Hospital of Chongqing Medical University, No. 1 Youyi Road, Yuzhong District, Chongqing, China
| | - Shengchun Liu
- Department of Breast and Thyroid Surgery, the First Affiliated Hospital of Chongqing Medical University, No. 1 Youyi Road, Yuzhong District, Chongqing, China
| | - Yang Peng
- Department of Breast and Thyroid Surgery, the First Affiliated Hospital of Chongqing Medical University, No. 1 Youyi Road, Yuzhong District, Chongqing, China.
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Chen X, Shi C, Gao J, Jumbo JCC, Wang Y, Li X, Zhao C, Yu H, Li P, Aung LHH. Evaluation of lncRNA Expression Pattern and Potential Role in Heart Failure Pathology. DISEASE MARKERS 2023; 2023:2369352. [PMID: 37476628 PMCID: PMC10356452 DOI: 10.1155/2023/2369352] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Revised: 01/16/2023] [Accepted: 01/18/2023] [Indexed: 07/22/2023]
Abstract
During the last few decades, the morbidity and mortality of heart failure (HF) have remained on an upward trend. Despite the advances in therapeutic and diagnostic measures, there are still many aspects requiring further research. This study is aimed at finding potential long noncoding RNAs (lncRNAs) that could aid with the diagnosis and treatment of HF. We performed RNA sequencing on the peripheral blood of healthy controls as well as HF patients. The expression of lncRNAs was validated by RT-qPCR. Bioinformatic analysis was performed to investigate the possible mechanism of differentially expressed lncRNAs and mRNAs. The diagnostic value of lncRNAs was analysed by ROC analysis. Finally, a total of 207 mRNAs and 422 lncRNAs were identified. GO and KEGG pathway analyses revealed that biological pathways such as immune response, regulation of cell membrane, and transcriptional regulatory process were associated with the pathological progress of HF. The lncRNA-mRNA coexpression network was conducted, and several mRNAs were identified as key potential pathological targets, while lncRNA CHST11, MIR29B2CHG, CR381653.1, and FP236383.2 presented a potential diagnostic value for HF. These findings provide novel insights for the underlying mechanisms and possible therapeutic targets for HF.
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Affiliation(s)
- Xiatian Chen
- Institute of Translational Medicine, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, China
- School of Basic Medicine, Qingdao University, Qingdao, China
| | | | - Jinning Gao
- Institute of Translational Medicine, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, China
| | - Juan Carlos Cueva Jumbo
- School of Preclinical Medicine, Nanobody Research Center, Guangxi Medical University, Nanning, China
| | - Yin Wang
- Institute of Translational Medicine, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, China
| | - Xin Li
- Institute of Translational Medicine, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, China
- School of Basic Medicine, Qingdao University, Qingdao, China
| | - Cheng Zhao
- Institute of Translational Medicine, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, China
- School of Basic Medicine, Qingdao University, Qingdao, China
| | - Hua Yu
- The Affiliated Cardiovascular Hospital of Qingdao University, Qingdao, China
| | - Peifeng Li
- Institute of Translational Medicine, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, China
| | - Lynn Htet Htet Aung
- Institute of Translational Medicine, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, China
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Kao YC, Yoshida A, Hsieh TH, Nord KH, Saba KH, Ichikawa H, Tsai JW, Huang HY, Chih-Hsueh Chen P, Fletcher CDM, Lee JC. Identification of COL1A1/2 Mutations and Fusions With Noncoding RNA Genes in Bizarre Parosteal Osteochondromatous Proliferation (Nora Lesion). Mod Pathol 2023; 36:100011. [PMID: 36853784 DOI: 10.1016/j.modpat.2022.100011] [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: 06/13/2022] [Revised: 08/14/2022] [Accepted: 09/16/2022] [Indexed: 01/11/2023]
Abstract
Bizarre parosteal osteochondromatous proliferation (BPOP) (Nora lesion) is a benign bone surface lesion, which most commonly occurs in the digits of young patients and has a high rate of recurrence. Histologically, it is composed of a mixture of disorganized bone, cartilage, and spindle cells in variable proportions and characterized by amorphous "blue bone" mineralization. Recurrent chromosomal abnormalities, including t(1;17)(q32-42;q21-23) and inv(7)(q21.1-22q31.3-32), have been reported in BPOP. However, the exact genes involved in the rearrangements remain unknown. In this study, we analyzed 8 BPOP cases affecting the fingers, toe, ulna, radius, and fibula of 5 female and 3 male patients, aged 5 to 68 years. RNA sequencing of 5 cases identified genetic fusions between COL1A2 and LINC-PINT in 3 cases and COL1A1::MIR29B2CHG fusion in 1, both validated using fluorescence in situ hybridization and reverse transcription (RT)-PCR. The remaining fusion-negative case harbored 3 COL1A1 mutations as revealed by whole-exome sequencing and confirmed using Sanger sequencing. All these genetic alterations were predicted to cause frameshift and/or truncation of COL1A1/2. The chromosomal locations of COL1A2 (7q21.3), LINC-PINT (7q32.3), COL1A1 (17q21.33), and MIR29B2CHG (1q32.2) were consistent with the breakpoints identified in the previous cytogenetic studies. Subsequent screening of 3 BPOPs using fluorescence in situ hybridization identified 1 additional case each with COL1A1 or COL1A2 rearrangement. Our findings are consistent with reported chromosomal abnormalities and implicate the disruption of type I collagen, and perhaps of either noncoding RNA gene as a tumor suppressor, in the tumorigenesis of BPOP. The prevalence and tumorigenic mechanisms of these COL1A1/2 alterations in BPOP require further investigation.
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Affiliation(s)
- Yu-Chien Kao
- Department of Pathology, Taipei Medical University Hospital, Taipei, Taiwan; Department of Pathology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Akihiko Yoshida
- Department of Diagnostic Pathology, National Cancer Center Hospital, Tokyo, Japan
| | - Tsung-Han Hsieh
- Joint Biobank, Office of Human Research, Taipei Medical University, Taipei, Taiwan
| | - Karolin H Nord
- Department of Laboratory Medicine, Division of Clinical Genetics, Lund University, Lund, Sweden
| | - Karim H Saba
- Department of Laboratory Medicine, Division of Clinical Genetics, Lund University, Lund, Sweden
| | - Hitoshi Ichikawa
- Department of Clinical Genomics, National Cancer Center Research Institute, Tokyo, Japan
| | - Jen-Wei Tsai
- Department of Pathology, E-Da Hospital, I-Shou University, Kaohsiung, Taiwan
| | - Hsuan-Ying Huang
- Department of Anatomical Pathology, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | | | | | - Jen-Chieh Lee
- Department and Graduate Institute of Pathology, National Taiwan University Hospital, National Taiwan University College of Medicine, Taipei, Taiwan.
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Farheen J, Hosmane NS, Zhao R, Zhao Q, Iqbal MZ, Kong X. Nanomaterial-assisted CRISPR gene-engineering - A hallmark for triple-negative breast cancer therapeutics advancement. Mater Today Bio 2022; 16:100450. [PMID: 36267139 PMCID: PMC9576993 DOI: 10.1016/j.mtbio.2022.100450] [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: 07/16/2022] [Revised: 09/16/2022] [Accepted: 10/02/2022] [Indexed: 11/05/2022] Open
Abstract
Triple-negative breast cancer (TNBC) is the most violent class of tumor and accounts for 20–24% of total breast carcinoma, in which frequently rare mutation occurs in high frequency. The poor prognosis, recurrence, and metastasis in the brain, heart, liver and lungs decline the lifespan of patients by about 21 months, emphasizing the need for advanced treatment. Recently, the adaptive immunity mechanism of archaea and bacteria, called clustered regularly interspaced short palindromic repeats (CRISPR) combined with nanotechnology, has been utilized as a potent gene manipulating tool with an extensive clinical application in cancer genomics due to its easeful usage and cost-effectiveness. However, CRISPR/Cas are arguably the efficient technology that can be made efficient via organic material-assisted approaches. Despite the efficacy of the CRISPR/Cas@nano complex, problems regarding successful delivery, biodegradability, and toxicity remain to render its medical implications. Therefore, this review is different in focus from past reviews by (i) detailing all possible genetic mechanisms of TNBC occurrence; (ii) available treatments and gene therapies for TNBC; (iii) overview of the delivery system and utilization of CRISPR-nano complex in TNBC, and (iv) recent advances and related toxicity of CRISPR-nano complex towards clinical trials for TNBC.
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Affiliation(s)
- Jabeen Farheen
- Institute of Smart Biomedical Materials, School of Materials Science and Engineering, Zhejiang Sci-Tech University, Hangzhou, 310018, PR China,Zhejiang-Mauritius Joint Research Centre for Biomaterials and Tissue Engineering, Zhejiang Sci-Tech University, Hangzhou, 310018, PR China
| | - Narayan S. Hosmane
- Department of Chemistry & Biochemistry, Northern Illinois University, DeKalb, IL, 60115, USA
| | - Ruibo Zhao
- Institute of Smart Biomedical Materials, School of Materials Science and Engineering, Zhejiang Sci-Tech University, Hangzhou, 310018, PR China,Zhejiang-Mauritius Joint Research Centre for Biomaterials and Tissue Engineering, Zhejiang Sci-Tech University, Hangzhou, 310018, PR China,Department of Materials, Imperial College London, London, SW7 2AZ, UK
| | - Qingwei Zhao
- Research Center for Clinical Pharmacy & Key Laboratory for Drug Evaluation and Clinical Research of Zhejiang Province, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, PR China
| | - M. Zubair Iqbal
- Institute of Smart Biomedical Materials, School of Materials Science and Engineering, Zhejiang Sci-Tech University, Hangzhou, 310018, PR China,Zhejiang-Mauritius Joint Research Centre for Biomaterials and Tissue Engineering, Zhejiang Sci-Tech University, Hangzhou, 310018, PR China,Corresponding author. Institute of Smart Biomedical Materials, School of Materials Science and Engineering, Zhejiang Sci-Tech University, Hangzhou, 310018, PR China.
| | - Xiangdong Kong
- Institute of Smart Biomedical Materials, School of Materials Science and Engineering, Zhejiang Sci-Tech University, Hangzhou, 310018, PR China,Zhejiang-Mauritius Joint Research Centre for Biomaterials and Tissue Engineering, Zhejiang Sci-Tech University, Hangzhou, 310018, PR China,Corresponding author. Institute of Smart Biomedical Materials, School of Materials Science and Engineering, Zhejiang Sci-Tech University, Hangzhou, 310018, PR China
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Chen Z, Feng R, Kahlert UD, Chen Z, Torres-Dela Roche LA, Soliman A, Miao C, De Wilde RL, Shi W. Construction of ceRNA Networks Associated With CD8 T Cells in Breast Cancer. Front Oncol 2022; 12:883197. [PMID: 35756601 PMCID: PMC9219915 DOI: 10.3389/fonc.2022.883197] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Accepted: 04/12/2022] [Indexed: 12/13/2022] Open
Abstract
Background The infiltration of CD8 T cells is usually linked to a favorable prognosis and may predict the therapeutic response of breast cancer patients to immunotherapy. The purpose of this research is to investigate the competing endogenous RNA (ceRNA) network correlated with the infiltration of CD8 T cells. Methods Based on expression profiles, CD8 T cell abundances for each breast cancer (BC) patient were inferred using the bioinformatic method by immune markers and expression profiles. We were able to extract the differentially expressed RNAs (DEmRNAs, DEmiRNAs, and DElncRNAs) between low and high CD8 T-cell samples. The ceRNA network was constructed using Cytoscape. Machine learning models were built by lncRNAs to predict CD8 T-cell abundances. The lncRNAs were used to develop a prognostic model that could predict the survival rates of BC patients. The expression of selected lncRNA (XIST) was validated by quantitative real-time PCR (qRT-PCR). Results A total of 1,599 DElncRNAs, 89 DEmiRNAs, and 1,794 DEmRNAs between high and low CD8 T-cell groups were obtained. Two ceRNA networks that have positive or negative correlations with CD8 T cells were built. Among the two ceRNA networks, nine lncRNAs (MIR29B2CHG, NEAT1, MALAT1, LINC00943, LINC01146, AC092718.4, AC005332.4, NORAD, and XIST) were selected for model construction. Among six prevalent machine learning models, artificial neural networks performed best, with an area under the curve (AUC) of 0.855. Patients from the high-risk category with BC had a lower survival rate compared to those from the low-risk group. The qRT-PCR results revealed significantly reduced XIST expression in normal breast samples, which was consistent with our integrated analysis. Conclusion These results potentially provide insights into the ceRNA networks linked with T-cell infiltration and provide accurate models for T-cell prediction.
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Affiliation(s)
- Zhilin Chen
- Department of Breast and Thoracic Oncological Surgery, The First Affiliated Hospital of Hainan Medical University, Haikou, China.,University Hospital for Gynecology, Pius-Hospital, University Medicine Oldenburg, Oldenburg, Germany
| | - Ruifa Feng
- Breast Center of The Second Affiliated Hospital of Guilin Medical University, Guilin, China
| | - Ulf Dietrich Kahlert
- Molecular and Experimental Surgery, University Clinic for General-, Visceral- and Vascular Surgery, University Medicine Magdeburg and Otto-von Guericke University, Magdeburg, Germany
| | - Zhitong Chen
- University Hospital for Gynecology, Pius-Hospital, University Medicine Oldenburg, Oldenburg, Germany
| | | | - Amr Soliman
- University Hospital for Gynecology, Pius-Hospital, University Medicine Oldenburg, Oldenburg, Germany
| | - Chen Miao
- Department of Pathology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Rudy Leon De Wilde
- University Hospital for Gynecology, Pius-Hospital, University Medicine Oldenburg, Oldenburg, Germany
| | - Wenjie Shi
- University Hospital for Gynecology, Pius-Hospital, University Medicine Oldenburg, Oldenburg, Germany.,Molecular and Experimental Surgery, University Clinic for General-, Visceral- and Vascular Surgery, University Medicine Magdeburg and Otto-von Guericke University, Magdeburg, Germany
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Weighted correlation network analysis revealed novel long non-coding RNAs for colorectal cancer. Sci Rep 2022; 12:2990. [PMID: 35194111 PMCID: PMC8863977 DOI: 10.1038/s41598-022-06934-w] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Accepted: 02/07/2022] [Indexed: 12/25/2022] Open
Abstract
Colorectal cancer (CRC) is one of the most prevalent cancers worldwide, which after breast, lung and, prostate cancers, is the fourth prevalent cancer in the United States. Long non-coding RNAs (lncRNAs) have an essential role in the pathogenesis of CRC. Therefore, bioinformatics studies on lncRNAs and their target genes have potential importance as novel biomarkers. In the current study, publicly available microarray gene expression data of colorectal cancer (GSE106582) was analyzed with the Limma, Geoquery, Biobase package. Afterward, identified differentially expressed lncRNAs and their target genes were inserted into Weighted correlation network analysis (WGCNA) to obtain modules and hub genes. A total of nine differentially expressed lncRNAs (LINC01018, ITCH-IT, ITPK1-AS1, FOXP1-IT1, FAM238B, PAXIP1-AS1, ATP2B1-AS1, MIR29B2CHG, and SNHG32) were identified using microarray data analysis. The WGCNA has identified several hub genes for black (LMOD3, CDKN2AIPNL, EXO5, ZNF69, BMS1P5, METTL21A, IL17RD, MIGA1, CEP19, FKBP14), blue (CLCA1, GUCA2A, UGT2B17, DSC2, CA1, AQP8, ITLN1, BEST4, KLF4, IQCF6) and turquoise (PAFAH1B1, LMNB1, CACYBP, GLO1, PUM3, POC1A, ASF1B, SDCCAG3, ASNS, PDCD2L) modules. The findings of the current study will help to improve our understanding of CRC. Moreover, the hub genes that we have identified could be considered as possible prognostic/diagnostic biomarkers. This study led to the determination of nine lncRNAs with no previous association with CRC development.
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