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Li K, Xie T, Li Y, Huang X. LncRNAs act as modulators of macrophages within the tumor microenvironment. Carcinogenesis 2024; 45:363-377. [PMID: 38459912 DOI: 10.1093/carcin/bgae021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 02/21/2024] [Accepted: 03/06/2024] [Indexed: 03/11/2024] Open
Abstract
Long non-coding RNAs (lncRNAs) have been established as pivotal players in various cellular processes, encompassing the regulation of transcription, translation and post-translational modulation of proteins, thereby influencing cellular functions. Notably, lncRNAs exert a regulatory influence on diverse biological processes, particularly in the context of tumor development. Tumor-associated macrophages (TAMs) exhibit the M2 phenotype, exerting significant impact on crucial processes such as tumor initiation, angiogenesis, metastasis and immune evasion. Elevated infiltration of TAMs into the tumor microenvironment (TME) is closely associated with a poor prognosis in various cancers. LncRNAs within TAMs play a direct role in regulating cellular processes. Functioning as integral components of tumor-derived exosomes, lncRNAs prompt the M2-like polarization of macrophages. Concurrently, reports indicate that lncRNAs in tumor cells contribute to the expression and release of molecules that modulate TAMs within the TME. These actions of lncRNAs induce the recruitment, infiltration and M2 polarization of TAMs, thereby providing critical support for tumor development. In this review, we survey recent studies elucidating the impact of lncRNAs on macrophage recruitment, polarization and function across different types of cancers.
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Affiliation(s)
- Kangning Li
- The National Engineering Research Center for Bioengineering Drugs and the Technologies, Institute of Translational Medicine, Jiangxi Medical College, Nanchang University, Nanchang, China
- HuanKui Academy, Jiangxi Medical College, Nanchang University, Nanchang, China
| | - Tao Xie
- The National Engineering Research Center for Bioengineering Drugs and the Technologies, Institute of Translational Medicine, Jiangxi Medical College, Nanchang University, Nanchang, China
| | - Yong Li
- Department of Anesthesiology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China
| | - Xuan Huang
- The National Engineering Research Center for Bioengineering Drugs and the Technologies, Institute of Translational Medicine, Jiangxi Medical College, Nanchang University, Nanchang, China
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2
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Sun X, Song H, Sun X, Liao C, Wang G, Xu Y, Li L, Han Y, Xu C, Wang W, Cai S, Liang H, Yu H. A 15-Inflammation-Related Gene Signature Predicts the Prognosis of Patients With Pancreatic Ductal Adenocarcinoma. Cancer Invest 2024:1-17. [PMID: 38616304 DOI: 10.1080/07357907.2024.2340577] [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: 11/14/2023] [Accepted: 04/03/2024] [Indexed: 04/16/2024]
Abstract
Chronic inflammation promotes the development of pancreatic ductal adenocarcinoma (PDAC) and PDAC-related inflammatory tumor microenvironment facilitates tumor growth and metastasis. Thus, we aimed to study the association between inflammatory response and prognosis in patients with PDAC. We conducted the whole transcriptomic sequencing using tissue samples collected from patients diagnosed with PDAC (n = 106) recruited from Shandong Cancer Hospital. We first constructed a prognostic signature using 15 inflammation-related genes in The Cancer Genome Atlas (TCGA) cohort (n = 177) and further validated it in an independent International Cancer Genome Consortium (ICGC) cohort (n = 90) and our in-house cohort. PDAC patients with a higher risk score had poorer overall survival (OS) (P < 0.001; HR, 3.02; 95% CI, 1.94-4.70). The association between the prognostic signature and OS remained significant in the multivariable Cox regression adjusting for age, sex, alcohol exposure, diabetes, and stage (P < 0.001; HR, 2.91; 95% CI, 1.73-4.89). This gene signature also robustly predicted prognosis in the ICGC cohort (P = 0.01; HR, 1.94; 95% CI, 1.14-3.30) and our cohort (P < 0.001; HR, 2.40; 95% CI, 1.45-3.97). Immune subtype C3 (inflammatory) was enriched and CD8+ T cells were higher in patients with a lower risk score (P < 0.05). Furthermore, PDAC patients with higher risk scores were more sensitive to chemotherapy, immunotherapy, and PARP inhibitors (P < 0.05). In sum, we identified a novel gene signature that was associated with inflammatory response for risk stratification, prognosis prediction, and therapy guidance in PDAC patients. Future studies are warranted to validate the clinical utility of the signature.
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Affiliation(s)
| | - Hao Song
- The Third Affiliated Hospital of Naval Military Medical University, Shanghai, P. R. China
| | - Xiaoran Sun
- Burning Rock Biotech, Guangzhou, P. R. China
| | | | | | - Yu Xu
- Burning Rock Biotech, Guangzhou, P. R. China
| | - Leo Li
- Burning Rock Biotech, Guangzhou, P. R. China
| | - Yusheng Han
- Burning Rock Biotech, Guangzhou, P. R. China
| | - Chunwei Xu
- Institute of Basic Medicine and Cancer, Chinese Academy of Sciences, Hangzhou, P. R. China
| | - Wenxian Wang
- The Cancer Hospital of the University of Chinese Academy of Sciences, Hangzhou, P. R. China
| | - Shangli Cai
- Burning Rock Biotech, Guangzhou, P. R. China
| | - Hua Liang
- Qingdao Central Hospital, Qingdao, P. R. China
| | - Hao Yu
- Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, P. R. China
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Zhang Y, Gao Y, Li F, Qi Q, Li Q, Gu Y, Zheng Z, Hu B, Wang T, Zhang E, Xu H, Liu L, Tian T, Jin G, Yan C. Long non-coding RNA NRAV in the 12q24.31 risk locus drives gastric cancer development through glucose metabolism reprogramming. Carcinogenesis 2024; 45:23-34. [PMID: 37950445 DOI: 10.1093/carcin/bgad080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 10/24/2023] [Accepted: 11/08/2023] [Indexed: 11/12/2023] Open
Abstract
Long non-coding RNAs (lncRNAs) serve as vital candidates to mediate cancer risk. Here, we aimed to identify the risk single-nucleotide polymorphisms (SNPs)-induced lncRNAs and to investigate their roles in gastric cancer (GC) development. Through integrating the differential expression analysis of lncRNAs in GC tissues and expression quantitative trait loci analysis in normal stomach tissues and GC tissues, as well as genetic association analysis based on GC genome-wide association studies and an independent validation study, we identified four lncRNA-related SNPs consistently associated with GC risk, including SNHG7 [odds ratio (OR) = 1.16, 95% confidence interval (CI): 1.09-1.23], NRAV (OR = 1.11, 95% CI: 1.05-1.17), LINC01082 (OR = 1.16, 95% CI: 1.08-1.22) and FENDRR (OR = 1.16, 95% CI: 1.07-1.25). We further found that a functional SNP rs6489786 at 12q24.31 increases binding of MEOX1 or MEOX2 at a distal enhancer and results in up-regulation of NRAV. The functional assays revealed that NRAV accelerates GC cell proliferation while inhibits GC cell apoptosis. Mechanistically, NRAV decreases the expression of key subunit genes through the electron transport chain, thereby driving the glucose metabolism reprogramming from aerobic respiration to glycolysis. These findings suggest that regulating lncRNA expression is a crucial mechanism for risk-associated variants in promoting GC development.
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Affiliation(s)
- Yan Zhang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, China International Cooperation Center for Environment and Human Health, Nanjing Medical University, Nanjing, China
| | - Yun Gao
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Fengyuan Li
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Qi Qi
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Qian Li
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Yuanliang Gu
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Zhonghua Zheng
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Beiping Hu
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Tianpei Wang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Public Health Institute of Gusu School, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China
| | - Erbao Zhang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, China International Cooperation Center for Environment and Human Health, Nanjing Medical University, Nanjing, China
| | - Hao Xu
- Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Li Liu
- Institute of Digestive Endoscopy, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Tian Tian
- Department of Epidemiology, School of Public Health, Nantong University, Nantong, China
| | - Guangfu Jin
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, China International Cooperation Center for Environment and Human Health, Nanjing Medical University, Nanjing, China
- Public Health Institute of Gusu School, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China
- Research Center for Clinical Oncology, Jiangsu Cancer Hospital, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
| | - Caiwang Yan
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Department of Immunology, Key Laboratory of Immunological Environment and Disease, Nanjing Medical University, Nanjing, China
- The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Wuxi, China
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4
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He X, Lin F, Jia R, Xia Y, Liang Z, Xiao X, Hu Q, Deng X, Li Q, Sheng W. Coordinated modulation of long non-coding RNA ASBEL and curcumin co-delivery through multicomponent nanocomplexes for synchronous triple-negative breast cancer theranostics. J Nanobiotechnology 2023; 21:397. [PMID: 37904215 PMCID: PMC10617238 DOI: 10.1186/s12951-023-02168-8] [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: 08/02/2023] [Accepted: 10/18/2023] [Indexed: 11/01/2023] Open
Abstract
BACKGROUND Abnormally regulated long non-coding RNAs (lncRNAs) functions in cancer emphasize their potential to serve as potential targets for cancer therapeutic intervention. LncRNA ASBEL has been identified as oncogene and an anti-sense transcript of tumor-suppressor gene of BTG3 in triple-negative breast cancer (TNBC). RESULTS Herein, multicomponent self-assembled polyelectrolyte nanocomplexes (CANPs) based on the polyelectrolytes of bioactive hyaluronic acid (HA) and chitosan hydrochloride (CS) were designed and prepared for the collaborative modulation of oncogenic lncRNA ASBEL with antago3, an oligonucleotide antagonist targeting lncRNA ASBEL and hydrophobic curcumin (Cur) co-delivery for synergetic TNBC therapy. Antago3 and Cur co-incorporated CANPs were achieved via a one-step assembling strategy with the cooperation of noncovalent electrostatic interactions, hydrogen-bonding, and hydrophobic interactions. Moreover, the multicomponent assembled CANPs were ulteriorly decorated with a near-infrared fluorescence (NIRF) Cy-5.5 dye (FCANPs) for synchronous NIRF imaging and therapy monitoring performance. Resultantly, MDA-MB-231 cells proliferation, migration, and invasion were efficiently inhibited, and the highest apoptosis ratio was induced by FCANPs with coordination patterns. At the molecular level, effective regulation of lncRNA ASBEL/BTG3 and synchronous regulation of Bcl-2 and c-Met pathways could be observed. CONCLUSION As expected, systemic administration of FCANPs resulted in targeted and preferential accumulation of near-infrared fluorescence signal and Cur in the tumor tissue. More attractively, systemic FCANPs-mediated collaborative modulating lncRNA ASBEL/BTG3 and Cur co-delivery significantly suppressed the MDA-MB-231 xenograft tumor growth, inhibited metastasis and extended survival rate with negligible systemic toxicity. Our present study represented an effective approach to developing a promising theranostic platform for combating TNBC in a combined therapy pattern.
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Affiliation(s)
- Xuesong He
- Department of Environment and Life Science, Beijing International Science and Technology, Cooperation Base of Antivirus Drug, Beijing University of Technology, Beijing, 100124, China
| | - Fengjuan Lin
- Department of Oncology, School of Medicine, Shanghai East Hospital, Tongji University, Shanghai, 200123, China
| | - Runqing Jia
- Department of Environment and Life Science, Beijing International Science and Technology, Cooperation Base of Antivirus Drug, Beijing University of Technology, Beijing, 100124, China
| | - Yang Xia
- Department of Environment and Life Science, Beijing International Science and Technology, Cooperation Base of Antivirus Drug, Beijing University of Technology, Beijing, 100124, China
| | - Zhaoyuan Liang
- Department of Environment and Life Science, Beijing International Science and Technology, Cooperation Base of Antivirus Drug, Beijing University of Technology, Beijing, 100124, China
| | - Xiangqian Xiao
- Department of Environment and Life Science, Beijing International Science and Technology, Cooperation Base of Antivirus Drug, Beijing University of Technology, Beijing, 100124, China
| | - Qin Hu
- Department of Environment and Life Science, Beijing International Science and Technology, Cooperation Base of Antivirus Drug, Beijing University of Technology, Beijing, 100124, China
| | - Xiongwei Deng
- Department of Environment and Life Science, Beijing International Science and Technology, Cooperation Base of Antivirus Drug, Beijing University of Technology, Beijing, 100124, China.
- College of Life Science and Bioengineering, Beijing University of Technology, Beijing, 100049, China.
| | - Qun Li
- Department of Oncology, School of Medicine, Shanghai East Hospital, Tongji University, Shanghai, 200123, China.
| | - Wang Sheng
- Department of Environment and Life Science, Beijing International Science and Technology, Cooperation Base of Antivirus Drug, Beijing University of Technology, Beijing, 100124, China.
- College of Life Science and Bioengineering, Beijing University of Technology, Beijing, 100049, China.
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Tang YJ, Shuldiner EG, Karmakar S, Winslow MM. High-Throughput Identification, Modeling, and Analysis of Cancer Driver Genes In Vivo. Cold Spring Harb Perspect Med 2023; 13:a041382. [PMID: 37277208 PMCID: PMC10317066 DOI: 10.1101/cshperspect.a041382] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
The vast number of genomic and molecular alterations in cancer pose a substantial challenge to uncovering the mechanisms of tumorigenesis and identifying therapeutic targets. High-throughput functional genomic methods in genetically engineered mouse models allow for rapid and systematic investigation of cancer driver genes. In this review, we discuss the basic concepts and tools for multiplexed investigation of functionally important cancer genes in vivo using autochthonous cancer models. Furthermore, we highlight emerging technical advances in the field, potential opportunities for future investigation, and outline a vision for integrating multiplexed genetic perturbations with detailed molecular analyses to advance our understanding of the genetic and molecular basis of cancer.
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Affiliation(s)
- Yuning J Tang
- Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA
| | - Emily G Shuldiner
- Department of Biology, Stanford University, Stanford, California 94305, USA
| | - Saswati Karmakar
- Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA
| | - Monte M Winslow
- Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA
- Department of Pathology, Stanford University School of Medicine, Stanford, California 94305, USA
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6
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Taghehchian N, Farshchian M, Mahmoudian RA, Asoodeh A, Abbaszadegan MR. The expression of long non-coding RNA LINC01389, LINC00365, RP11-138J23.1, and RP11-354K4.2 in gastric cancer and their impacts on EMT. Mol Cell Probes 2022; 66:101869. [PMID: 36208698 DOI: 10.1016/j.mcp.2022.101869] [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: 04/25/2022] [Revised: 09/13/2022] [Accepted: 09/30/2022] [Indexed: 12/05/2022]
Abstract
BACKGROUND Epithelial cancers acquire the epithelial to mesenchymal transition (EMT), which leads tumor cells to invade and metastasize to adjacent and distant tissues. The mechanisms involved in EMT phenotype are controlled by numerous markers as well as signalling pathways. Recently, long non-coding RNAs (lncRNAs) were introduced that play the regulatory role in EMT via crosstalk with EMT-related transcription factors and signalling pathways. The present study aimed to investigate the expression of four lncRNAs in human GC and elucidate their probable role in EMT procedure and the pathogenesis of gastric cancer (GC). METHODS The expression profile of lncRNAs (LINC01389, LINC00365, RP11-138J23.1, and RP11-354K4.2) and mRNAs (TWIST1, MMP13, MAML1, CD44s, and SALL4) between eighty-three GC and adjacent non-cancerous tissues were assessed by quantitative real-time PCR. RESULTS The significant downregulation of LINC00365 (66.3%) and RP11-354K4.2 (62.7%) were observed in GC samples; while the upregulation of LINC01389, RP11-138J23.1, TWIST1, MMP13, MAML1, CD44s, and SALL4 were found in 67.5%, 45.8%, 56.6%, 44.6%, 59%, 55.4%, and 62.7% tumors samples at the mRNA level, respectively. Dysregulation of these lncRNAs and EMT-related markers was significantly related to each other in a variety of clinicopathological features of patients (P < 0.05), indicating positive correlations between LINC01389, LINC00365, RP11-138J23.1, and RP11-354K4.2 with EMT status in GC. CONCLUSION These EMT-regulating lncRNAs may play a key role in transforming gastric epithelial to mesenchymal phenotype and can be novel therapeutic targets for GC. Our results highlight the importance of discovering new lncRNAs involved in gastric carcinogenesis. Detailed molecular mechanisms of these noncoding-coding markers in GC are urgently required.
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Affiliation(s)
- Negin Taghehchian
- Department of Chemistry, Faculty of Science, Ferdowsi University of Mashhad, Mashhad, Iran.
| | - Moein Farshchian
- Stem Cell and Regenerative Medicine Research Group, Academic Center for Education, Culture and Research (ACECR), Khorasan Razavi, Mashhad, Iran.
| | | | - Ahmad Asoodeh
- Department of Chemistry, Faculty of Science, Ferdowsi University of Mashhad, Mashhad, Iran.
| | - Mohammad Reza Abbaszadegan
- Medical Genetics Research Center, Mashhad University of Medical Sciences, Mashhad, Iran; Department of Medical Genetics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
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7
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Wang L, Wang Y, Bi J. In silico development and experimental validation of a novel 7-gene signature based on PI3K pathway-related genes in bladder cancer. Funct Integr Genomics 2022; 22:797-811. [PMID: 35896848 PMCID: PMC9550739 DOI: 10.1007/s10142-022-00884-2] [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: 04/18/2022] [Revised: 07/11/2022] [Accepted: 07/11/2022] [Indexed: 11/04/2022]
Abstract
Although bladder cancer (BLCA) is the 10th most common tumor worldwide, particularly practical markers and prognostic models that might guide therapy are needed. We used a non-negative matrix factorization algorithm to classify PI3K pathway-related genes into molecular subtypes. A weighted gene co-expression network analysis (WGCNA) was generated to identify co-expression modules. Univariate Cox regression, least absolute shrinkage sum selection operator-Cox regression, and multivariate Cox regression were utilized to develop a prognostic score model. Kaplan-Meier analysis and receiver operating characteristics were utilized to measure the model's effectiveness. A nomogram was constructed to improve the predictive ability of the model based on clinical parameters and risk. Decision curve analysis (DCA) was used to evaluate the nomogram. To evaluate the immune microenvironment, an estimate algorithm was used. Drug sensitivity was identified using the R package "pRRophetic." UM-UC-3 cell line was used to measure the effect of CDK6 in Western blotting, proliferation assay, and 5-ethynyl-20-deoxyuridine assay. Based on PI3K pathway-related genes, The Cancer Genome Atlas (TCGA)-BLCA and GSE32894 patients were divided into two subtypes. Twenty-five co-expression modules were established using the WGCNA algorithm. A seven-gene signature (CDK6, EGFR, IGF1, ITGB7, PDGFRA, RPS6, and VWF) demonstrated robustness in TCGA and GSE32894 datasets. Expression levels of CDK6 and risk positively correlated with M2 macrophages and IgG. Cisplatin, gemcitabine, methotrexate, mitomycin C, paclitaxel, and vinblastine are sensitive to different groups based on the expression of CDK6 and risk. Functional experiments suggested that CDK6 promotes the proliferation of UM-UC-3 cells. We constructed a seven-gene prognostic signature as an effective marker to predict the outcomes of BLCA patients and guide individual treatment.
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Affiliation(s)
- Linhui Wang
- Department of Urology, China Medical University, The First Hospital of China Medical University, Shenyang, Liaoning, China
| | - Yutao Wang
- Department of Urology, China Medical University, The First Hospital of China Medical University, Shenyang, Liaoning, China
| | - Jianbin Bi
- Department of Urology, China Medical University, The First Hospital of China Medical University, Shenyang, Liaoning, China.
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Liu H, Zong C, Sun J, Li H, Qin G, Wang X, Zhu J, Yang Y, Xue Q, Liu X. Bioinformatics analysis of lncRNAs in the occurrence and development of osteosarcoma. Transl Pediatr 2022; 11:1182-1198. [PMID: 35958002 PMCID: PMC9360822 DOI: 10.21037/tp-22-253] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Accepted: 07/04/2022] [Indexed: 12/01/2022] Open
Abstract
BACKGROUND Osteosarcoma (OS) is a disease with high mortality in children and adolescents, and metastasis is one of its important clinical features. However, the molecular mechanism of OS occurrence is not completely clear. Thus, we screened potential biomarkers of OS and analyze their prognostic value. METHODS The Cancer Genome Atlas (TCGA) datasets were used to analyze the differential lncRNAs in patients with OS of different immune score and the lncRNAs expressed by immune cells. Cox regression was used to develop the prognosis prediction model and specify the prognosis outcomes. Risk-proportional regression model was constructed, and the samples were divided into high and low groups based on the risk scores for the survival analysis. The areas under the receiver operating characteristic (ROC) curve were calculated and the risk-score model was verified. Finally, using 4 gene sets (comprising chemokines, immune checkpoint blockades, immune activity-related genes, and immune cells), and 4 analysis tools (CIBERSORT, TIMER, XCELL and MCP) to evaluated tumor immune infiltration. RESULTS Twenty-nine long non-coding ribonucleic acids (lncRNAs) were obtained from the intersection of the screened lncRNAs. Caspase recruitment domain-containing protein 8-antisense RNA 1 (CARD8-AS1), lncRNA five prime to Xist (FTX), KAT8 regulatory NSL complex unit 1-antisense RNA 1 (KANSL1-AS1), Neuroplastin Intronic Transcript 1 (NPTN-IT1), oligodendrocyte maturation-associated long intervening non-coding RNA (OLMALINC) and RPARP Antisense RNA 1 (RPARP-AS1) were found to be correlated with survival. Univariate and multivariate regression analysis showed risk score [HR (hazard ratio) 3.5, P value 0.0043; HR 3.7, P value 0.0033] and metastasis (HR 4.7, P value 6.60E-05; HR 4.8, P value 8.36E-05) were the key factors of patients with OS. The areas under curves (AUCs) of the 1-, 3-, and 5-year ROC curves of the prognostic model were 0.715, 0.729, and 0.771. The low-risk patients tended to have a high abundance of immune cells. CONCLUSIONS This study showed that a risk score based on 6 lncRNAs has potential value in the prognosis of OS, and patients with low-risk scores have high immune cell infiltration and good prognosis. This study may enrich understandings of underlying mechanisms related to the occurrence and development of OS.
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Affiliation(s)
- Hua Liu
- Department of Radiation Oncology, Affiliated Hospital of Nantong University, Nantong, China.,Department of Orthopedics, Haian Hospital of Traditional Chinese Medicine, Haian, China
| | - Chenyu Zong
- Department of Orthopedics, Affiliated Hospital of Nantong University, Nantong, China
| | - Jiacheng Sun
- Xinglin College, Nantong University, Nantong, China
| | - Haiyang Li
- Department of Oncology, Binhai County People's Hospital, Yancheng, China
| | - Guangzhen Qin
- Department of Orthopedics, Haian Hospital of Traditional Chinese Medicine, Haian, China
| | - Xiaojian Wang
- Department of Orthopedics, Haian Hospital of Traditional Chinese Medicine, Haian, China
| | - Jianwei Zhu
- Department of Orthopedics, Affiliated Hospital of Nantong University, Nantong, China
| | - Yang Yang
- Department of Trauma Center, Affiliated Hospital of Nantong University, Nantong, China
| | - Qiang Xue
- Department of Radiation Oncology, Affiliated Hospital of Nantong University, Nantong, China
| | - Xianchen Liu
- Department of Radiation Oncology, Affiliated Hospital of Nantong University, Nantong, China
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9
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Hazan J, Bester AC. CRISPR-Based Approaches for the High-Throughput Characterization of Long Non-Coding RNAs. Noncoding RNA 2021; 7:79. [PMID: 34940760 PMCID: PMC8704461 DOI: 10.3390/ncrna7040079] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Revised: 12/06/2021] [Accepted: 12/11/2021] [Indexed: 12/17/2022] Open
Abstract
Over the last decade, tens of thousands of new long non-coding RNAs (lncRNAs) have been identified in the human genome. Nevertheless, except for a handful of genes, the genetic characteristics and functions of most of these lncRNAs remain elusive; this is partially due to their relatively low expression, high tissue specificity, and low conservation across species. A major limitation for determining the function of lncRNAs was the lack of methodologies suitable for studying these genes. The recent development of CRISPR/Cas9 technology has opened unprecedented opportunities to uncover the genetic and functional characteristics of the non-coding genome via targeted and high-throughput approaches. Specific CRISPR/Cas9-based approaches were developed to target lncRNA loci. Some of these approaches involve modifying the sequence, but others were developed to study lncRNAs by inducing transcriptional and epigenetic changes. The discovery of other programable Cas proteins broaden our possibilities to target RNA molecules with greater precision and accuracy. These approaches allow for the knock-down and characterization of lncRNAs. Here, we review how various CRISPR-based strategies have been used to characterize lncRNAs with important functions in different biological contexts and how these approaches can be further utilized to improve our understanding of the non-coding genome.
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10
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S. Zibitt M, Hartford CCR, Lal A. Interrogating lncRNA functions via CRISPR/Cas systems. RNA Biol 2021; 18:2097-2106. [PMID: 33685382 PMCID: PMC8632070 DOI: 10.1080/15476286.2021.1899500] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Revised: 03/01/2021] [Accepted: 03/02/2021] [Indexed: 12/13/2022] Open
Abstract
Long noncoding RNAs (lncRNAs) are an increasing focus of investigation due to their implications in diverse biological processes and disease. Nevertheless, the majority of lncRNAs are low in abundance and poorly conserved, posing challenges to functional studies. The CRISPR/Cas system, an innovative technology that has emerged over the last decade, can be utilized to further understand lncRNA function. The system targets specific DNA and/or RNA sequences via a guide RNA (gRNA) and Cas nuclease complex. We and others have utilized this technology in various applications such as lncRNA knockout, knockdown, overexpression, and imaging. In this review, we summarize how the CRISPR/Cas technology provides new tools to investigate the roles and therapeutic implications of lncRNAs.
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Affiliation(s)
- Meira S. Zibitt
- Regulatory RNAs and Cancer Section, Genetics Branch, Center for Cancer Research (CCR), National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, MD, USA
| | - Corrine Corrina R. Hartford
- Regulatory RNAs and Cancer Section, Genetics Branch, Center for Cancer Research (CCR), National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, MD, USA
| | - Ashish Lal
- Regulatory RNAs and Cancer Section, Genetics Branch, Center for Cancer Research (CCR), National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, MD, USA
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11
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Zhao Z, Li C, Tong F, Deng J, Huang G, Sang Y. Review of applications of CRISPR-Cas9 gene-editing technology in cancer research. Biol Proced Online 2021; 23:14. [PMID: 34261433 PMCID: PMC8281662 DOI: 10.1186/s12575-021-00151-x] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Accepted: 05/24/2021] [Indexed: 12/11/2022] Open
Abstract
Characterized by multiple complex mutations, including activation by oncogenes and inhibition by tumor suppressors, cancer is one of the leading causes of death. Application of CRISPR-Cas9 gene-editing technology in cancer research has aroused great interest, promoting the exploration of the molecular mechanism of cancer progression and development of precise therapy. CRISPR-Cas9 gene-editing technology provides a solid basis for identifying driver and passenger mutations in cancer genomes, which is of great value in genetic screening and for developing cancer models and treatments. This article reviews the current applications of CRISPR-Cas9 gene-editing technology in various cancer studies, the challenges faced, and the existing solutions, highlighting the potential of this technology for cancer treatment.
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Affiliation(s)
- Ziyi Zhao
- The Third Affiliated Hospital of Nanchang University, Nanchang, 330008, China
| | - Chenxi Li
- The Third Affiliated Hospital of Nanchang University, Nanchang, 330008, China
| | - Fei Tong
- Orthodontic Department of Affiliated Stomatological Hospital of Nanchang University, Nanchang, 330008, China
| | - Jingkuang Deng
- The Third Affiliated Hospital of Nanchang University, Nanchang, 330008, China
| | - Guofu Huang
- The Third Affiliated Hospital of Nanchang University, Nanchang, 330008, China.
| | - Yi Sang
- The Third Affiliated Hospital of Nanchang University, Nanchang, 330008, China.
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12
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Melendez-Zajgla J, Maldonado V. The Role of lncRNAs in the Stem Phenotype of Pancreatic Ductal Adenocarcinoma. Int J Mol Sci 2021; 22:6374. [PMID: 34203589 PMCID: PMC8232220 DOI: 10.3390/ijms22126374] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Revised: 06/01/2021] [Accepted: 06/04/2021] [Indexed: 12/17/2022] Open
Abstract
Pancreatic ductal adenocarcinoma is one of the deadliest tumors. This neoplasia is characterized by an important cellular and phenotypic heterogeneity. In particular, it has been shown that at least two subtypes can be found: basal-like, which presents stem-like properties, and classical. Cancer stem cells have been isolated and characterized from these tumors, showing their dependance on general and tissue-specific stem transcription factors and signaling pathways. Nevertheless, little is known about their tissue microenvironment and cell non-autonomous regulators, such as long-non-coding RNAs. (lncRNAs). In this review, we summarize the current knowledge about the positive and negative effects of lncRNAs in the stemness phenotype of pancreatic ductal adenocarcinoma cancer (PDAC).
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Affiliation(s)
- Jorge Melendez-Zajgla
- Functional Genomics Laboratory, Instituto Nacional de Medicina Genomica, Periferico Sur 4809, Tlalpan, Mexico City 14610, Mexico;
| | - Vilma Maldonado
- Epigenomics Laboratory, Instituto Nacional de Medicina Genomica, Periferico Sur 4809, Tlalpan, Mexico City 14610, Mexico
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13
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Ewing AD, Cheetham SW, McGill JJ, Sharkey M, Walker R, West JA, West MJ, Summers KM. Microdeletion of 9q22.3: A patient with minimal deletion size associated with a severe phenotype. Am J Med Genet A 2021; 185:2070-2083. [PMID: 33960642 PMCID: PMC8251932 DOI: 10.1002/ajmg.a.62224] [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: 12/23/2020] [Revised: 03/17/2021] [Accepted: 04/02/2021] [Indexed: 01/20/2023]
Abstract
Basal cell nevus syndrome (also known as Gorlin Syndrome; MIM109400) is an autosomal dominant disorder characterized by recurrent pathological features such as basal cell carcinomas and odontogenic keratocysts as well as skeletal abnormalities. Most affected individuals have point mutations or small insertions or deletions within the PTCH1 gene on human chromosome 9, but there are some cases with more extensive deletion of the region, usually including the neighboring FANCC and/or ERCC6L2 genes. We report a 16‐year‐old patient with a deletion of approximately 400,000 bases which removes only PTCH1 and some non‐coding RNA genes but leaves FANCC and ERCC6L2 intact. In spite of the small amount of DNA for which he is haploid, his phenotype is more extreme than many individuals with longer deletions in the region. This includes early presentation with a large number of basal cell nevi and other skin lesions, multiple jaw keratocysts, and macrosomia. We found that the deletion was in the paternal chromosome, in common with other macrosomia cases. Using public databases, we have examined possible interactions between sequences within and outside the deletion and speculate that a regulatory relationship exists with flanking genes, which is unbalanced by the deletion, resulting in abnormal activation or repression of the target genes and hence the severity of the phenotype.
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Affiliation(s)
- Adam D Ewing
- Mater Research Institute-University of Queensland, Translational Research Institute, Woolloongabba, Queensland, Australia
| | - Seth W Cheetham
- Mater Research Institute-University of Queensland, Translational Research Institute, Woolloongabba, Queensland, Australia
| | - James J McGill
- Department of Chemical Pathology, Royal Brisbane and Women's Hospital, Herston, Queensland, Australia
| | - Michael Sharkey
- Paddington Dermatology Specialist Clinic, Paddington, Queensland, Australia
| | - Rick Walker
- QLD Youth Cancer Service, Queensland Children's Hospital, South Brisbane, Queensland, Australia.,School of Clinical Medicine, The University of Queensland, Herston, Queensland, Australia
| | - Jennifer A West
- Northside Clinical School, Prince Charles Hospital, The University of Queensland, Chermside, Queensland, Australia
| | - Malcolm J West
- Northside Clinical School, Prince Charles Hospital, The University of Queensland, Chermside, Queensland, Australia
| | - Kim M Summers
- Mater Research Institute-University of Queensland, Translational Research Institute, Woolloongabba, Queensland, Australia
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