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Zenlander R, Salter H, Gilg S, Eggertsen G, Stål P. MicroRNAs as Plasma Biomarkers of Hepatocellular Carcinoma in Patients with Liver Cirrhosis-A Cross-Sectional Study. Int J Mol Sci 2024; 25:2414. [PMID: 38397091 PMCID: PMC10888674 DOI: 10.3390/ijms25042414] [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: 01/16/2024] [Revised: 02/13/2024] [Accepted: 02/16/2024] [Indexed: 02/25/2024] Open
Abstract
Ultrasound screening for hepatocellular carcinoma (HCC) in patients with liver cirrhosis has a poor sensitivity for small tumors. Circulating microRNAs (miRNAs) have been explored as HCC biomarkers, but results are diverging. Here, we evaluate if miRNAs up-regulated in HCC tissue can be detected in plasma and used as screening biomarkers for HCC. In this cross-sectional study, plasma, HCC tissue and surrounding non-tumorous liver tissue were collected from liver resections. Tissue miRNAs were identified and quantitated by RNA-sequencing analysis, and the fold-changes between HCC and surrounding liver tissue were calculated. The miRNAs up-regulated in HCCs were then re-analyzed in plasma from the same patients, and the miRNAs with the highest plasma levels were subsequently measured in plasma from an independent cohort of patients with cirrhosis or HCC. In tissues from 84 resected patients, RNA-sequencing detected 197 differentially expressed miRNAs, 40 of which had a raw count above 200 and were analyzed in plasma from the same cohort. Thirty-one miRNAs were selected for further analysis in 200 patients with HCC or cirrhosis. Of these, eleven miRNAs were significantly increased in HCC as compared to cirrhosis patients. Only miR-93-5p and miR-151a-3p were significantly associated with HCC, with an AUC of 0.662. In comparison, alpha-fetoprotein and des-gamma-carboxy prothrombin yielded an AUC of 0.816, which increased to 0.832 if miR-93-5p and miR-151a-3p were added. When including sex and age, the addition of miR-93-5p and miR-151a-3p did not further improve the AUC (from 0.910 to 0.911). In conclusion, micro-RNAs up-regulated in HCCs are detectable in plasma but have a poor performance as screening biomarkers of HCC.
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Affiliation(s)
- Robin Zenlander
- Department of Clinical Chemistry, Karolinska University Hospital, 141 86 Stockholm, Sweden
- Department of Laboratory Medicine, Karolinska Institutet, 141 52 Stockholm, Sweden
- Department of Medicine, Huddinge, Karolinska Institutet, 141 86 Stockholm, Sweden (P.S.)
| | - Hugh Salter
- Department of Laboratory Medicine, Karolinska Institutet, 141 52 Stockholm, Sweden
| | - Stefan Gilg
- Department of Medicine, Huddinge, Karolinska Institutet, 141 86 Stockholm, Sweden (P.S.)
| | - Gösta Eggertsen
- Department of Clinical Chemistry, Karolinska University Hospital, 141 86 Stockholm, Sweden
- Department of Medicine, Huddinge, Karolinska Institutet, 141 86 Stockholm, Sweden (P.S.)
| | - Per Stål
- Department of Medicine, Huddinge, Karolinska Institutet, 141 86 Stockholm, Sweden (P.S.)
- Division of Hepatology, Department of Upper GI Diseases, Karolinska University Hospital, 141 86 Stockholm, Sweden
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2
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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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3
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Li Z, Wang D, Zhang W, Shi H, Zhu M. Novel PBMC LncRNA signatures as diagnostic biomarkers for colorectal cancer. Pathol Res Pract 2024; 253:154985. [PMID: 38039742 DOI: 10.1016/j.prp.2023.154985] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 10/20/2023] [Accepted: 11/23/2023] [Indexed: 12/03/2023]
Abstract
The expression of long non-coding RNAs (LncRNAs) in peripheral blood mononuclear cell (PBMC) and its clinical relevance in colorectal cancer (CRC) remains largely uncharacterized. To address these gaps, we investigated the expression profiles of lncRNAs in PBMC from CRC and healthy controls (HC) by RNA sequencing. The expression level of differentially expressed lncRNAs (DElncRNAs) were evaluated by quantitative PCR in PBMC samples from CRC patients and HC. A total of 447 DElncRNAs were identified, with 178 elevated lncRNAs and 269 decreased lncRNAs in PBMC from CRC patients as compared with that from HC. RT-PCR results supported a significant elevation of NEAT1:11, lnc-PDZD8-1:5 and LINC00910:16 in 98 CRC patients and 82 HC. The clinical implication of NEAT1:11, lnc-PDZD8-1:5 and LINC00910:16 as CRC diagnostic biomarker were determined by receiver operating characteristic (ROC) curve, showing sensitivity 74.5% and specificity 84.5% for joint detection the three lncRNAs. Notably, NEAT1:11 was closely related with the size and extent of primary tumor, with higher relative expression of NEAT1:11 in higher T stage (P = 0.0047). Moreover, NEAT1:11 was related with grade (P = 0.012). Collectively, PBMC from patients with CRC show significantly variable expression profiles of lncRNAs, and detection of these differential expression lncRNAs may provide useful information for basic and clinical research.
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Affiliation(s)
- Zhaosheng Li
- Department of Clinical Laboratory, The Affiliated Cancer Hospital of Nanjing Medical University & Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research, Nanjing, China
| | - Dongfeng Wang
- Department of General Surgery, The Affiliated Cancer Hospital of Nanjing Medical University & Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research, Nanjing, China
| | - Wenjun Zhang
- Department of Laboratory Medicine, Nanjing Drum Tower Hospital, Nanjing University Medical School, Nanjing, China
| | - Huina Shi
- Department of Clinical Laboratory, The Affiliated Cancer Hospital of Nanjing Medical University & Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research, Nanjing, China
| | - Mingchen Zhu
- Department of Clinical Laboratory, The Affiliated Cancer Hospital of Nanjing Medical University & Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research, Nanjing, China.
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Huang X, Su B, Li M, Zhou Y, He X. Multiomics characterization of fatty acid metabolism for the clinical management of hepatocellular carcinoma. Sci Rep 2023; 13:22472. [PMID: 38110715 PMCID: PMC10728109 DOI: 10.1038/s41598-023-50156-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Accepted: 12/15/2023] [Indexed: 12/20/2023] Open
Abstract
Hepatocellular carcinoma (HCC) is a prevalent malignancy and there is a lack of effective biomarkers for HCC diagnosis. Living organisms are complex, and different omics molecules interact with each other to implement various biological functions. Genomics and metabolomics, which are the top and bottom of systems biology, play an important role in HCC clinical management. Fatty acid metabolism is associated with malignancy, prognosis, and immune phenotype in cancer, which is a potential hallmark in malignant tumors. In this study, the genes and metabolites related to fatty acid metabolism were thoroughly investigated by a dynamic network construction algorithm named EWS-DDA for the early diagnosis and prognosis of HCC. Three gene ratios and eight metabolite ratios were identified by EWS-DDA as potential biomarkers for HCC clinical management. Further analysis using biological analysis, statistical analysis and document validation in the discovery and validation sets suggested that the selected potential biomarkers had great clinical prognostic value and helped to achieve effective early diagnosis of HCC. Experimental results suggested that in-depth evaluation of fatty acid metabolism from different omics viewpoints can facilitate the further understanding of pathological alterations associated with HCC characteristics, improving the performance of early diagnosis and clinical prognosis.
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Affiliation(s)
- Xin Huang
- School of Artificial Intelligence, Anshan Normal University, Pingan Street, Anshan, 114007, Liaoning, China.
- Biomedical Engineering Postdoctoral Research Station, Dalian University of Technology, Dalian, Liaoning, China.
- Postdoctoral Workstation of Dalian Yongjia Electronic Technology Co., Ltd, Dalian, Liaoning, China.
| | - Benzhe Su
- School of Computer Science and Technology, Dalian University of Technology, Dalian, Liaoning, China
| | - Mengjun Li
- School of Artificial Intelligence, Anshan Normal University, Pingan Street, Anshan, 114007, Liaoning, China
| | - Yang Zhou
- Ningbo Institute of Innovation for Combined Medicine and Engineering, Ningbo Medical Center Li Huili Hospital, Ningbo, Zhejiang, China
| | - Xinyu He
- School of Computer and Information Technology, Liaoning Normal University, Dalian, Liaoning, China
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5
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Liu Y, Yang L, Yu M, Huang F, Zeng J, Lu Y, Yang C. Construction of a ceRNA network to reveal a vascular invasion associated prognostic model in hepatocellular carcinoma. Open Med (Wars) 2023; 18:20230795. [PMID: 37724126 PMCID: PMC10505303 DOI: 10.1515/med-2023-0795] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2023] [Revised: 08/11/2023] [Accepted: 08/11/2023] [Indexed: 09/20/2023] Open
Abstract
The aim of this study is to explore the prognostic value of vascular invasion (VI) in hepatocellular carcinoma (HCC) by searching for competing endogenous RNAs (ceRNA) network and constructing a new prognostic model for HCC. The differentially expressed genes (DEGs) between HCC and normal tissues were identified from GEO and TCGA. StarBase and miRanda prediction tools were applied to construct a circRNA-miRNA-mRNA network. The DEGs between HCC with and without VI were also identified. Then, the hub genes were screened to build a prognostic risk score model through the method of least absolute shrinkage and selection operator. The prognostic ability of the model was assessed using the Kaplan-Meier method and Cox regression analysis. In result, there were 221 up-regulated and 47 down-regulated differentially expressed circRNAs (DEcircRNAs) in HCC compared with normal tissue. A circRNA-related ceRNA network was established, containing 11 DEcircRNAs, 12 DEmiRNAs, and 161 DEmRNAs. Meanwhile, another DEG analysis revealed 625 up-regulated and 123 down-regulated DEGs between HCC with and without VI, and then a protein-protein interaction (PPI) network was built based on 122 VI-related DEGs. From the intersection of DEGs within the PPI and ceRNA networks, we obtained seven hub genes to build a novel prognostic risk score model. HCC patients with high-risk scores had shorter survival time and presented more advanced T/N/M stages as well as VI occurrence. In conclusion a novel prognostic model based on seven VI-associated DEGs within a circRNA-related ceRNA network was constructed in this study, with great ability to predict the outcome of HCC patients.
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Affiliation(s)
- Yun Liu
- Department of Medical Oncology, The First Affiliated Hospital of Hainan Medical University, Haikou, Hainan 570102, P.R. China
| | - Lu Yang
- Department of Medical Oncology, The First Affiliated Hospital of Hainan Medical University, Haikou, Hainan 570102, P.R. China
| | - Mengsi Yu
- Department of Clinical Laboratory, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang 830054, P.R. China
| | - Fen Huang
- Department of Medical Oncology, The First Affiliated Hospital of Hainan Medical University, Haikou, Hainan 570102, P.R. China
| | - Jiangzheng Zeng
- Department of Medical Oncology, The First Affiliated Hospital of Hainan Medical University, Haikou, Hainan 570102, P.R. China
| | - Yanda Lu
- Department of Medical Oncology, The First Affiliated Hospital of Hainan Medical University, Haikou, Hainan 570102, P.R. China
| | - Changcheng Yang
- Department of Medical Oncology, The First Affiliated Hospital of Hainan Medical University, 31 Longhua Road, Haikou, Hainan 570102, P.R. China
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6
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Zeng Q, Liu CH, Wu D, Jiang W, Zhang N, Tang H. LncRNA and circRNA in Patients with Non-Alcoholic Fatty Liver Disease: A Systematic Review. Biomolecules 2023; 13:biom13030560. [PMID: 36979495 PMCID: PMC10046118 DOI: 10.3390/biom13030560] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2023] [Revised: 03/09/2023] [Accepted: 03/10/2023] [Indexed: 03/30/2023] Open
Abstract
Non-alcoholic fatty liver disease (NAFLD) is currently the most common cause of chronic liver disease worldwide. Early identification and prompt treatment are critical to optimize patient management and improve long-term prognosis. Long non-coding RNA (lncRNA) and circular RNA (circRNA) are recently emerging non-coding RNAs, and are highly stable and easily detected in the circulation, representing a promising non-invasive approach for predicting NAFLD. A literature search of the Pubmed, Embase, Web of Science, and Cochrane Library databases was performed and 36 eligible studies were retrieved, including 18 on NAFLD, 13 on nonalcoholic steatohepatitis (NASH), and 11 on fibrosis and/or cirrhosis. Dynamic changes in lncRNA expression were associated with the occurrence and progression of NAFLD, among which lncRNA NEAT1, MEG3, and MALAT1 exhibited great potential as biomarkers for NAFLD. Moreover, mitochondria-located circRNA SCAR can drive metaflammation and its inhibition might be a promising therapeutic target for NASH. In this systematic review, we highlight the great potential of lncRNA/circRNA for early diagnosis and progression assessment of NAFLD. To further verify their clinical value, large-cohort studies incorporating lncRNA and circRNA expression both in liver tissue and blood should be conducted. Additionally, detailed studies on the functional mechanisms of NEAT1, MEG3, and MALAT1 will be essential for elucidating their roles in diagnosing and treating NAFLD, NASH, and fibrosis.
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Affiliation(s)
- Qingmin Zeng
- Center of Infectious Diseases, West China Hospital of Sichuan University, Chengdu 610041, China
- Division of Infectious Diseases, State Key Laboratory of Biotherapy and Center of Infectious Disease, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Chang-Hai Liu
- Center of Infectious Diseases, West China Hospital of Sichuan University, Chengdu 610041, China
- Division of Infectious Diseases, State Key Laboratory of Biotherapy and Center of Infectious Disease, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Dongbo Wu
- Center of Infectious Diseases, West China Hospital of Sichuan University, Chengdu 610041, China
- Division of Infectious Diseases, State Key Laboratory of Biotherapy and Center of Infectious Disease, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Wei Jiang
- Center of Infectious Diseases, West China Hospital of Sichuan University, Chengdu 610041, China
- Division of Infectious Diseases, State Key Laboratory of Biotherapy and Center of Infectious Disease, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Nannan Zhang
- National Center for Birth Defect Monitoring, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu 610041, China
| | - Hong Tang
- Center of Infectious Diseases, West China Hospital of Sichuan University, Chengdu 610041, China
- Division of Infectious Diseases, State Key Laboratory of Biotherapy and Center of Infectious Disease, West China Hospital, Sichuan University, Chengdu 610041, China
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Chen J, Niu C, Yang N, Liu C, Zou SS, Zhu S. Biomarker discovery and application-An opportunity to resolve the challenge of liver cancer diagnosis and treatment. Pharmacol Res 2023; 189:106674. [PMID: 36702425 DOI: 10.1016/j.phrs.2023.106674] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 01/10/2023] [Accepted: 01/19/2023] [Indexed: 01/24/2023]
Abstract
Liver cancer is one of the most common malignancies, with severe morbidity and mortality. While considerable progress has been made in liver cancer treatment, the 5-year overall survival (OS) of patients has not improved significantly. Reasons include the inadequate capability of early screening and diagnosis, a high incidence of recurrence and metastasis, a high degree of tumor heterogeneity, and an immunosuppressive tumor microenvironment. Therefore, the identification and validation of specific and robust liver cancer biomarkers are of major importance for early screening, timely diagnosis, accurate prognosis, and the prevention of tumor progression. In this review, we highlight some of the latest research progress and potential applications of liver cancer biomarkers, describing hotspots and prospective directions in biomarker discovery.
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Affiliation(s)
- Jingtao Chen
- Cancer Center, The First Hospital of Jilin University, Changchun 130021, China; Laboratory for Tumor Immunology, The First Hospital of Jilin University, Changchun 130021, China
| | - Chao Niu
- Cancer Center, The First Hospital of Jilin University, Changchun 130021, China
| | - Ning Yang
- Laboratory for Tumor Immunology, The First Hospital of Jilin University, Changchun 130021, China
| | - Chunyan Liu
- Laboratory for Tumor Immunology, The First Hospital of Jilin University, Changchun 130021, China
| | - Shan-Shan Zou
- Laboratory for Tumor Immunology, The First Hospital of Jilin University, Changchun 130021, China
| | - Shan Zhu
- Cancer Center, The First Hospital of Jilin University, Changchun 130021, China; Laboratory for Tumor Immunology, The First Hospital of Jilin University, Changchun 130021, China.
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Application value of circulating LncRNA in diagnosis, treatment, and prognosis of breast cancer. Funct Integr Genomics 2023; 23:61. [PMID: 36792760 DOI: 10.1007/s10142-023-00983-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2022] [Revised: 02/03/2023] [Accepted: 02/06/2023] [Indexed: 02/17/2023]
Abstract
Breast cancer is the malignant tumor with the highest incidence in women worldwide. It is highly heterogeneous, has a high incidence of drug resistance, recurrence, and metastasis, and is one of the malignant tumors with the highest mortality rate. The early diagnosis, treatment monitoring, and prognosis assessment of breast cancer are the key factors affecting the survival of patients. However, due to the lack of specific biomarkers, breast cancer is still an essential factor affecting women's quality of life and physical and mental health. Long non-coding RNA can regulate various genes and different signaling pathways and plays an essential role in the occurrence and development of tumors. Recent studies have found that the abnormal expression of circulating long non-coding RNA in serum, saliva, and other biological body fluids plays a significant role in early diagnosis, pathological classification, stage, therapeutic effect monitoring, and prognosis evaluation of breast cancer. This article will review the potential application value of circulating lncRNA in breast cancer.
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