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Lumkul L, Jantaree P, Jaisamak K, Wongkummool W, Lapisatepun W, Orrapin S, Udomruk S, Lo Piccolo L, Chaiyawat P. Combinatorial Gene Expression Profiling of Serum HULC, HOTAIR, and UCA1 lncRNAs to Differentiate Hepatocellular Carcinoma from Liver Diseases: A Systematic Review and Meta-Analysis. Int J Mol Sci 2024; 25:1258. [PMID: 38279264 PMCID: PMC10816616 DOI: 10.3390/ijms25021258] [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: 12/27/2023] [Revised: 01/11/2024] [Accepted: 01/16/2024] [Indexed: 01/28/2024] Open
Abstract
Hepatocellular carcinoma (HCC) presents a significant global health challenge due to limited early detection methods, primarily relying on conventional approaches like imaging and alpha-fetoprotein (AFP). Although non-coding RNAs (ncRNAs) show promise as potential biomarkers in HCC, their true utility remains uncertain. We conducted a comprehensive review of 76 articles, analyzing 88 circulating lncRNAs in 6426 HCC patients. However, the lack of a standardized workflow protocol has hampered holistic comparisons across the literature. Consequently, we herein confined our meta-analysis to only a subset of these lncRNAs. The combined analysis of serum highly upregulated in liver cancer (HULC) gene expression with homeobox transcript antisense intergenic RNA (HOTAIR) and urothelial carcinoma-associated 1 (UCA1) demonstrated markedly enhanced sensitivity and specificity in diagnostic capability compared to traditional biomarkers or other ncRNAs. These findings could have substantial implications for the early diagnosis and tailored treatment of HCC.
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MESH Headings
- Humans
- Carcinoma, Hepatocellular/diagnosis
- Carcinoma, Hepatocellular/genetics
- Carcinoma, Hepatocellular/pathology
- Liver Neoplasms/diagnosis
- Liver Neoplasms/genetics
- Liver Neoplasms/pathology
- RNA, Long Noncoding/metabolism
- Genes, Homeobox
- RNA, Antisense
- Carcinoma, Transitional Cell/genetics
- Gene Expression Regulation, Neoplastic
- Urinary Bladder Neoplasms/genetics
- RNA, Untranslated
- Biomarkers
- Gene Expression Profiling
- Biomarkers, Tumor/genetics
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Affiliation(s)
- Lalita Lumkul
- Center of Multidisciplinary Technology for Advanced Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand; (L.L.); (P.J.); (K.J.); (W.W.); (S.O.); (S.U.)
- Center for Clinical Epidemiology and Clinical Statistics, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand
| | - Phatcharida Jantaree
- Center of Multidisciplinary Technology for Advanced Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand; (L.L.); (P.J.); (K.J.); (W.W.); (S.O.); (S.U.)
| | - Kritsada Jaisamak
- Center of Multidisciplinary Technology for Advanced Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand; (L.L.); (P.J.); (K.J.); (W.W.); (S.O.); (S.U.)
| | - Wasinee Wongkummool
- Center of Multidisciplinary Technology for Advanced Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand; (L.L.); (P.J.); (K.J.); (W.W.); (S.O.); (S.U.)
| | - Worakitti Lapisatepun
- Department of Surgery, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand;
| | - Santhasiri Orrapin
- Center of Multidisciplinary Technology for Advanced Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand; (L.L.); (P.J.); (K.J.); (W.W.); (S.O.); (S.U.)
| | - Sasimol Udomruk
- Center of Multidisciplinary Technology for Advanced Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand; (L.L.); (P.J.); (K.J.); (W.W.); (S.O.); (S.U.)
| | - Luca Lo Piccolo
- Center of Multidisciplinary Technology for Advanced Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand; (L.L.); (P.J.); (K.J.); (W.W.); (S.O.); (S.U.)
| | - Parunya Chaiyawat
- Center of Multidisciplinary Technology for Advanced Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand; (L.L.); (P.J.); (K.J.); (W.W.); (S.O.); (S.U.)
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Olmedillas-López S, Olivera-Salazar R, García-Arranz M, García-Olmo D. Current and Emerging Applications of Droplet Digital PCR in Oncology: An Updated Review. Mol Diagn Ther 2021; 26:61-87. [PMID: 34773243 DOI: 10.1007/s40291-021-00562-2] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/17/2021] [Indexed: 12/14/2022]
Abstract
In the era of personalized medicine and targeted therapies for the management of patients with cancer, ultrasensitive detection methods for tumor genotyping, such as next-generation sequencing or droplet digital polymerase chain reaction (ddPCR), play a significant role. In the search for less invasive strategies for diagnosis, prognosis and disease monitoring, the number of publications regarding liquid biopsy approaches using ddPCR has increased substantially in recent years. There is a long list of malignancies in which ddPCR provides a reliable and accurate tool for detection of nucleic acid-based markers derived from cell-free DNA, cell-free RNA, circulating tumor cells, extracellular vesicles or exosomes when isolated from whole blood, plasma and serum, helping to anticipate tumor relapse or unveil intratumor heterogeneity and clonal evolution in response to treatment. This updated review describes recent developments in ddPCR platforms and provides a general overview about the major applications of liquid biopsy in blood, including its utility for molecular response and minimal residual disease monitoring in hematological malignancies or the therapeutic management of patients with colorectal or lung cancer, particularly for the selection and monitoring of treatment with tyrosine kinase inhibitors. Although plasma is the main source of genetic material for tumor genomic profiling, liquid biopsy by ddPCR is being investigated in a wide variety of biologic fluids, such as cerebrospinal fluid, urine, stool, ocular fluids, sputum, saliva, bronchoalveolar lavage, pleural effusion, mucin, peritoneal fluid, fine needle aspirate, bile or pancreatic juice. The present review focuses on these "alternative" sources of genetic material and their analysis by ddPCR in different kinds of cancers.
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Affiliation(s)
- Susana Olmedillas-López
- New Therapies Laboratory, Health Research Institute-Fundación Jiménez Díaz University Hospital (IIS-FJD), Avda. Reyes Católicos, 2, 28040, Madrid, Spain.
| | - Rocío Olivera-Salazar
- New Therapies Laboratory, Health Research Institute-Fundación Jiménez Díaz University Hospital (IIS-FJD), Avda. Reyes Católicos, 2, 28040, Madrid, Spain
| | - Mariano García-Arranz
- New Therapies Laboratory, Health Research Institute-Fundación Jiménez Díaz University Hospital (IIS-FJD), Avda. Reyes Católicos, 2, 28040, Madrid, Spain.,Department of Surgery, School of Medicine, Universidad Autónoma de Madrid (UAM), 28029, Madrid, Spain
| | - Damián García-Olmo
- New Therapies Laboratory, Health Research Institute-Fundación Jiménez Díaz University Hospital (IIS-FJD), Avda. Reyes Católicos, 2, 28040, Madrid, Spain.,Department of Surgery, School of Medicine, Universidad Autónoma de Madrid (UAM), 28029, Madrid, Spain.,Department of Surgery, Fundación Jiménez Díaz University Hospital (FJD), 28040, Madrid, Spain
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Zhou H, Chen Y. CircRNA has_circ_0001806 promotes hepatocellular carcinoma progression via the miR-193a-5p/MMP16 pathway. Braz J Med Biol Res 2021; 54:e11459. [PMID: 34730679 PMCID: PMC8555451 DOI: 10.1590/1414-431x2021e11459] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Accepted: 09/02/2021] [Indexed: 12/11/2022] Open
Abstract
Reportedly, circular RNAs (circRNAs) are crucial regulators in cancer progression. Nonetheless, the molecular mechanism of circRNAs in hepatocellular carcinoma (HCC) has not been fully clarified. Gene expression omnibus (GEO) database was employed to screen out the differentially expressed circRNAs in HCC. qRT-PCR and western blot were executed to detect circ_0001806 expression, miR-193a-5p expression, and MMP16 mRNA and protein expressions in HCC. The effect of circ_0001806 on HCC was analyzed by the CCK-8 method and Transwell experiment. RIP assay, pull-down experiment, and dual-luciferase reporter gene experiment were applied to validate the targeting relationships among circ_0001806, miR-193a-5p, and MMP16. Circ_0001806 was up-modulated in HCC tissues and cell lines. Knockdown of circ_0001806 impeded the multiplication, migration, and invasion of HCC cells. Circ_0001806 could up-regulate MMP16 expression through repressing miR-193a-5p, thereby facilitating the malignant biological behaviors of HCC. Circ_0001806 promoted HCC progression by regulating miR-193a-5p/MMP16 axis.
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Affiliation(s)
- Hongmu Zhou
- Department of Geriatrics, General Hospital of The Yangtze River Shipping, Wuhan Brain Hospital, Wuhan, Hubei, China
| | - Ying Chen
- Department of Gastroenterology, Affiliated Hospital of Jianghan University, Wuhan Sixth Hospital, Wuhan, Hubei, China
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The Role of Long Non-Coding RNA and microRNA Networks in Hepatocellular Carcinoma and Its Tumor Microenvironment. Int J Mol Sci 2021; 22:ijms221910630. [PMID: 34638971 PMCID: PMC8508708 DOI: 10.3390/ijms221910630] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Revised: 09/27/2021] [Accepted: 09/27/2021] [Indexed: 02/07/2023] Open
Abstract
Hepatocellular carcinoma (HCC) is a common liver malignancy with high morbidity and poor prognosis. Long non-coding RNAs (lncRNAs) are involved in crucial biological processes of tumorigenesis and progression, and play four major regulatory roles, namely signal, decoy, guide, and scaffold, to regulate gene expression. Through these processes, lncRNAs can target microRNAs (miRNAs) to form lncRNA and miRNA networks, which regulate cancer cell proliferation, metastasis, drug resistance, and the tumor microenvironment. Here, we summarize the multifaceted functions of lncRNA and miRNA networks in the pathogenesis of HCC, the potential use of diagnostic or prognostic biomarkers, and novel therapeutic targets in HCC. This review also highlights the regulatory effects of lncRNA and miRNA networks in the tumor microenvironment of HCC.
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Zeng C, Tang Y, Jiang Y, Zuo Z, Tao H. Long noncoding RNAs as biomarkers for the diagnosis of hepatocellular carcinoma: A meta-analysis. Pathol Res Pract 2021; 224:153546. [PMID: 34332221 DOI: 10.1016/j.prp.2021.153546] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2021] [Revised: 07/06/2021] [Accepted: 07/07/2021] [Indexed: 12/24/2022]
Abstract
BACKGROUND Long non-coding RNAs (lncRNAs) are often aberrantly expressed in hepatocellular carcinoma (HCC). The role of lncRNAs in the diagnosis of HCC has attracted increasing attention. Hence, we performed a meta-analysis based on current studies to assess the diagnostic value of lncRNAs for HCC. METHODS A systematic search was performed using PubMed, Web of Science, and Embase databases for relevant studies. The quality of the studies was assessed with the Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2). A fixed-effect model was used if the value of I2 statistics < 50%; otherwise, a bivariate random effects model was applied (I2 ≥ 50%). In addition, subgroup analysis and meta-regression analysis were conducted to explore the sources of heterogeneity. Statistical analyses were based on Meta-Disc statistical software (Version 1.4) and STATA software (Version 15.1). RESULTS A total of 52 studies in 20 related articles were selected for this meta-analysis, including 4930 patients and 4614 controls. The pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and area under the curve (AUC) were 0.85 [95% confidence interval (CI) 0.82-0.88], 0.76 (95% CI 0.73-0.80), 3.6 (95% CI 3.1-4.2), 0.19 (95% CI 0.16-0.24), 19 (95% CI 14-26), and 0.88 (95% CI 0.85-0.91), respectively. The publication bias was evaluated by the Deek's funnel plot in our meta-analysis. CONCLUSIONS LncRNAs can serve as feasible HCC diagnostic biomarkers. However, further studies are necessary to confirm its diagnostic and clinical value.
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Affiliation(s)
- Chuyi Zeng
- Department of Clinical Laboratory, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Yan Tang
- Department of Clinical Laboratory, Traditional Chinese Medicine Hospital Affiliated to Southwest Medical University, Luzhou, China
| | - Yao Jiang
- Department of Clinical Laboratory, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Zhihua Zuo
- Department of Clinical Laboratory, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Hualin Tao
- Department of Clinical Laboratory, The Affiliated Hospital of Southwest Medical University, Luzhou, China.
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Liu Y, Wu Y, Liu S, Dai Y. Long Non-Coding RNA TRIM52-AS1 Promotes Growth and Metastasis via miR-218-5p/ROBO1 in Hepatocellular Carcinoma. Cancer Manag Res 2021; 13:547-558. [PMID: 33519234 PMCID: PMC7837577 DOI: 10.2147/cmar.s286205] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2020] [Accepted: 12/26/2020] [Indexed: 12/13/2022] Open
Abstract
Background Hepatocellular carcinoma (HCC) is a malignant disease with a high mortality among primary HCC patients worldwide. Lots of studies have shown that lncRNAs are known as the biomarkers in diagnosis, treatment and prognosis of hepatocellular carcinoma. Therefore, clarifying the detailed function and mechanism of the lncRNA in the HCC progressing seems particularly important. Methods The TCGA and GEO database and RT-qPCR were used to analyse the expression of TRIM52-AS1 in HCC tissues and cell lines. Clinical data were collected to further analyze the correlation between indicators of clinical samples and the expression of TRIM52-AS1. CCK-8, plate clone and transwell assays were employed to evaluate the role of TRIM52-AS1 on cell proliferation, migration and invasion. Then, bioinformatics prediction, luciferase reporter, RNA immunoprecipitation (RIP), and RT-qPCR were employed to analyze the direct interaction among TRIM52-AS1, miR-218-5p and ROBO1. Additionally, the rescue function assays were used to verify that miR-218-5p/ROBO1 was the function downstream of TRIM52-AS1. Results TRIM52-AS1 was overexpressed in HCC according to the TCGA database and RT-qPCR assay. The expression of TRIM52-AS1 was higher in the metastatic foci compared with primary tumor according to the GEO database. Additionally, TRIM52-AS1 knockdown inhibited the proliferation and metastasis of HCC cells. TRIM52-AS1 could act as competitive endogenous RNA to regulate ROBO1 through miR-218-5p, then promoted the HCC cell progression. Conclusion TRIM52-AS1 is overexpressed in HCC and can promote the proliferation and metastasis of HCC cells through miR-218-5p/ROBO1 axis, then drives the HCC cell progression.
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Affiliation(s)
- Yuanjun Liu
- Department of Hepatobiliary Surgery, Suining Central Hospital, Suining 629000, Sichuan Province, People's Republic of China
| | - Yakun Wu
- Department of Hepatobiliary Surgery, Suining Central Hospital, Suining 629000, Sichuan Province, People's Republic of China
| | - Shuang Liu
- Department of Hepatobiliary Surgery, Suining Central Hospital, Suining 629000, Sichuan Province, People's Republic of China
| | - Yi Dai
- Department of Hepatobiliary Surgery, Suining Central Hospital, Suining 629000, Sichuan Province, People's Republic of China
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