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Yu Z, Chen D, Zheng Y, Wang X, Huang S, Lin T, Lin Y, Zhang Y, Huang Y, Ou Q, Huang J. Development and validation of a diagnostic model for AFP-negative hepatocellular carcinoma. J Cancer Res Clin Oncol 2023; 149:11295-11308. [PMID: 37368120 DOI: 10.1007/s00432-023-04997-4] [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: 04/07/2023] [Accepted: 06/15/2023] [Indexed: 06/28/2023]
Abstract
PURPOSE AFP appears to be negative in about 30% of overall hepatocellular carcinoma (HCC). Our study aimed to develop a nomogram model to diagnose AFP-negative HCC (AFPN-HCC). PATIENTS AND METHODS The training set included 294 AFPN-HCC patients, 159 healthy objects, 63 patients with chronic hepatitis B(CHB), and 64 patients with liver cirrhosis (LC). And the validation set enrolled 137 healthy controls objects, 47 CHB patients and 45 patients with LC. LASSO, univariate, and multivariable logistic regression analysis were performed to construct the model and then transformed into a visualized nomogram. The receiver operating characteristic (ROC) curves, the calibration curve, decision curve analysis (DCA), and clinical impact curve (CIC) were further used for validation. RESULTS Four variables including age, PIVKA-II, platelet (PLT) counts, and prothrombin time (PT) were selected to establish the nomogram. The area under the curve (AUC) of the ROC to distinguish AFPN-HCC patients was 0.937(95% CI 0.892-0.938) in training set and 0.942(95% CI 0.921-0.963) in validation set. We also found that the model had high diagnostic value for small-size HCC (tumor size < 5 cm) (AUC = 0.886) and HBV surface antigen-positive AFPN-HCC (AUC = 0.883). CONCLUSIONS Our model was effective for discrimination of AFPN-HCC from patients with benign liver diseases and healthy controls, and might be helpful for the diagnosis for AFPN-HCC.
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Affiliation(s)
- Zhou Yu
- Department of Laboratory Medicine, Fujian Key Laboratory of Laboratory Medicine, Gene Diagnosis Research Center, Fujian Clinical Research Center for Laboratory Medicine of Immunology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, Fujian, China
- Department of Laboratory Medicine, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, Fujian, China
| | - Dongmei Chen
- Department of Laboratory Medicine, Fujian Key Laboratory of Laboratory Medicine, Gene Diagnosis Research Center, Fujian Clinical Research Center for Laboratory Medicine of Immunology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, Fujian, China
- Department of Laboratory Medicine, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, Fujian, China
| | - Yansong Zheng
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, 350005, Fujian Province, China
| | - Xuedan Wang
- Department of Pathology Medicine, The First Affiliated Hospital of Fujian Medical University, Fuzhou, 350005, Fujian Province, China
| | - Shuna Huang
- Department of Clinical Research and Translation Center, The First Affiliated Hospital of Fujian Medical University, Fuzhou, 350005, China
| | - Tiansheng Lin
- Department of Hepatobiliary Surgery, Fujian Provincial Hospital, Fuzhou, 350001, Fujian Province, China
| | - Yihan Lin
- Department of Gastroenterology, Fujian Provincial Hospital, Fuzhou, 350001, Fujian Province, China
| | - Yanfang Zhang
- Department of Laboratory Medicine, Fujian Key Laboratory of Laboratory Medicine, Gene Diagnosis Research Center, Fujian Clinical Research Center for Laboratory Medicine of Immunology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, Fujian, China
- Department of Laboratory Medicine, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, Fujian, China
| | - Yingna Huang
- Fujian Medical University, Fuzhou, 350005, Fujian Province, China
| | - Qishui Ou
- Department of Laboratory Medicine, Fujian Key Laboratory of Laboratory Medicine, Gene Diagnosis Research Center, Fujian Clinical Research Center for Laboratory Medicine of Immunology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, Fujian, China.
- Department of Laboratory Medicine, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, Fujian, China.
| | - Jinlan Huang
- Department of Laboratory Medicine, Fujian Key Laboratory of Laboratory Medicine, Gene Diagnosis Research Center, Fujian Clinical Research Center for Laboratory Medicine of Immunology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, Fujian, China.
- Department of Laboratory Medicine, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, Fujian, China.
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Arvanitakis K, Papadakos SP, Lekakis V, Koufakis T, Lempesis IG, Papantoniou E, Kalopitas G, Georgakopoulou VE, Stergiou IE, Theocharis S, Germanidis G. Meeting at the Crossroad between Obesity and Hepatic Carcinogenesis: Unique Pathophysiological Pathways Raise Expectations for Innovative Therapeutic Approaches. Int J Mol Sci 2023; 24:14704. [PMID: 37834153 PMCID: PMC10572430 DOI: 10.3390/ijms241914704] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 09/21/2023] [Accepted: 09/26/2023] [Indexed: 10/15/2023] Open
Abstract
The escalating global prevalence of obesity and its intricate association with the development of hepatocellular carcinoma (HCC) pose a substantial challenge to public health. Obesity, acknowledged as a pervasive epidemic, is linked to an array of chronic diseases, including HCC, catalyzing the need for a comprehensive understanding of its molecular underpinnings. Notably, HCC has emerged as a leading malignancy with rising incidence and mortality. The transition from viral etiologies to the prominence of metabolic dysfunction-associated fatty liver disease (MAFLD)-related HCC underscores the urgent need to explore the intricate molecular pathways linking obesity and hepatic carcinogenesis. This review delves into the interwoven landscape of molecular carcinogenesis in the context of obesity-driven HCC while also navigating using the current therapeutic strategies and future prospects for combating obesity-related HCC. We underscore the pivotal role of obesity as a risk factor and propose an integrated approach encompassing lifestyle interventions, pharmacotherapy, and the exploration of emerging targeted therapies. As the obesity-HCC nexus continues to challenge healthcare systems globally, a comprehensive understanding of the intricate molecular mechanisms and innovative therapeutic strategies is imperative to alleviate the rising burden of this dual menace.
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Affiliation(s)
- Konstantinos Arvanitakis
- First Department of Internal Medicine, AHEPA University Hospital, Aristotle University of Thessaloniki, 54636 Thessaloniki, Greece; (K.A.); (E.P.); (G.K.)
- Basic and Translational Research Unit (BTRU), Special Unit for Biomedical Research and Education (BRESU), Faculty of Health Sciences, School of Medicine, Aristotle University of Thessaloniki, 54636 Thessaloniki, Greece
| | - Stavros P. Papadakos
- First Department of Pathology, School of Medicine, National and Kapodistrian University of Athens, 11527 Athens, Greece; (S.P.P.); (S.T.)
| | - Vasileios Lekakis
- Department of Gastroenterology, School of Medicine, National and Kapodistrian University of Athens, Laiko General Hospital, 11527 Athens, Greece;
| | - Theocharis Koufakis
- Division of Endocrinology and Metabolism and Diabetes Centre, First Department of Internal Medicine, Medical School, AHEPA University Hospital, Aristotle University of Thessaloniki, 54636 Thessaloniki, Greece;
| | - Ioannis G. Lempesis
- Institute of Metabolism and Systems Research (IMSR), College of Medical and Dental Sciences, University of Birmingham, Birmingham B15 2TT, UK;
| | - Eleni Papantoniou
- First Department of Internal Medicine, AHEPA University Hospital, Aristotle University of Thessaloniki, 54636 Thessaloniki, Greece; (K.A.); (E.P.); (G.K.)
| | - Georgios Kalopitas
- First Department of Internal Medicine, AHEPA University Hospital, Aristotle University of Thessaloniki, 54636 Thessaloniki, Greece; (K.A.); (E.P.); (G.K.)
- Basic and Translational Research Unit (BTRU), Special Unit for Biomedical Research and Education (BRESU), Faculty of Health Sciences, School of Medicine, Aristotle University of Thessaloniki, 54636 Thessaloniki, Greece
| | | | - Ioanna E. Stergiou
- Pathophysiology Department, School of Medicine, National and Kapodistrian University of Athens, 11527 Athens, Greece;
| | - Stamatios Theocharis
- First Department of Pathology, School of Medicine, National and Kapodistrian University of Athens, 11527 Athens, Greece; (S.P.P.); (S.T.)
| | - Georgios Germanidis
- First Department of Internal Medicine, AHEPA University Hospital, Aristotle University of Thessaloniki, 54636 Thessaloniki, Greece; (K.A.); (E.P.); (G.K.)
- Basic and Translational Research Unit (BTRU), Special Unit for Biomedical Research and Education (BRESU), Faculty of Health Sciences, School of Medicine, Aristotle University of Thessaloniki, 54636 Thessaloniki, Greece
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Chen F, Zhang X. Predictive value of serum SCCA and CYFRA21-1 levels on radiotherapy efficacy and prognosis in patients with non-small cell lung cancer. Biotechnol Genet Eng Rev 2023:1-10. [PMID: 37153975 DOI: 10.1080/02648725.2023.2208449] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/10/2023]
Abstract
Monitoring changes in serum tumor marker concentrations can help in the early diagnosis of non-small cell lung cancer (NSCLC). However, there are few methods to monitor the efficacy and prognosis of radiotherapy in NSCLC patients. The present research aimed to explore the correlation between radiotherapy efficacy and squamous cell carcinoma antigen (SCCA) and cytokeratin 19 soluble fragment (CYFRA21-1) levels in NSCLC patients. Serum CYFRA21-1 and SCCA were detected with an automatic chemiluminescence immunoassay analyzer. Patients with NSCLC were followed up by telephone at regular intervals for 35 months. The χ2 test was used to compare clinical characteristics such as age, gender, smoking history and other count data between groups. Predictive value of serum SCCA and CYFRA21-1 on the efficacy of radiotherapy was analyzed by Receiver Operating Characteristic (ROC) curves. The survival of the patients was analyzed by Kaplan-Meier method. The serum SCCA and CYFRA21-1 levels in the NSCLC group were apparently higher by comparison with control group. The SCCA and CYFRA21-1 concentration were both positive relevant to Tumor Node Metastasis (TNM) stage. The Area Under Curve (AUC) of serum SCCA and CYFRA21-1 were 0.732 and 0.721, respectively. In addition, high serum SCCA and CYFRA21-1 levels could predict poor radiotherapy outcomes. Patients with high serum concentration of SCCA and CYFRA21-1 have shorter survival times. High serum SCCA and CYFRA21-1 levels could predict poor prognosis and unfavorable efficacy of radiotherapy in invalids with NSCLC.
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Affiliation(s)
- Fei Chen
- The second Department of Chest Radiation, Shanxi Cancer Hospital, Taiyuan City, Shanxi Province, China
| | - Xia Zhang
- The Second Ward of Respiratory, Shanxi Cancer Hospital, Taiyuan City, Shanxi Province, China
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Parikh ND, Tayob N, Singal AG. Blood-based biomarkers for hepatocellular carcinoma screening: Approaching the end of the ultrasound era? J Hepatol 2023; 78:207-216. [PMID: 36089157 DOI: 10.1016/j.jhep.2022.08.036] [Citation(s) in RCA: 44] [Impact Index Per Article: 44.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Revised: 08/23/2022] [Accepted: 08/29/2022] [Indexed: 02/01/2023]
Abstract
Hepatocellular carcinoma (HCC) is a leading cause of cancer-related death worldwide, in part because of inadequate early detection strategies. Current recommendations for screening consist of semi-annual abdominal ultrasound with or without serum alpha-fetoprotein in patients with cirrhosis and in demographic subgroups with chronic hepatitis B infection. However, this screening strategy has several deficiencies, including suboptimal early-stage sensitivity, false positives with subsequent harms, inter-operator variability in ultrasound performance, and poor adherence. A blood-based biomarker with sufficient performance characteristics for early-stage disease could overcome several of these barriers to improving early-stage detection. However, prior to use of a biomarker for screening in clinical practice, a multistep validation is required in order to understand test performance characteristics. These steps include case-control validation, followed by validation in prospective cohorts of at-risk patients. Until recently, we lacked adequate longitudinal validation cohorts for early HCC detection; however, several validation cohorts are maturing, including the Hepatocellular Carcinoma Early Detection Study and the Texas Hepatocellular Carcinoma Consortium, which will allow for rigorous validation of candidate biomarkers. While there are several promising biomarkers awaiting validation, in order to supplant abdominal ultrasound, a candidate biomarker must show adequate test performance and overcome practical hurdles to ensure adoption in clinical practice. The promise of blood-based biomarkers is significant, especially given the limitations of ultrasound-based screening; however, they require adequate validation and several logistical obstacles must be overcome prior to clinical implementation.
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Affiliation(s)
- Neehar D Parikh
- Division of Gastroenterology and Hepatology, University of Michigan, Ann Arbor, MI, USA; Rogel Cancer Center, University of Michigan, Ann Arbor, MI, USA.
| | - Nabihah Tayob
- Department of Biostatistics, Dana Farber Cancer Center, Boston, MA, USA
| | - Amit G Singal
- Harold C. Simmons Cancer Center, University of Texas Southwestern Medical Center, Dallas, Texas, USA
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Schlosser S, Tümen D, Volz B, Neumeyer K, Egler N, Kunst C, Tews HC, Schmid S, Kandulski A, Müller M, Gülow K. HCC biomarkers - state of the old and outlook to future promising biomarkers and their potential in everyday clinical practice. Front Oncol 2022; 12:1016952. [PMID: 36518320 PMCID: PMC9742592 DOI: 10.3389/fonc.2022.1016952] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Accepted: 11/04/2022] [Indexed: 08/27/2023] Open
Abstract
Hepatocellular carcinoma (HCC) is one of the most common and deadly tumors worldwide. Management of HCC depends on reliable biomarkers for screening, diagnosis, and monitoring of the disease, as well as predicting response towards therapy and safety. To date, imaging has been the established standard technique in the diagnosis and follow-up of HCC. However, imaging techniques have their limitations, especially in the early detection of HCC. Therefore, there is an urgent need for reliable, non/minimal invasive biomarkers. To date, alpha-fetoprotein (AFP) is the only serum biomarker used in clinical practice for the management of HCC. However, AFP is of relatively rather low quality in terms of specificity and sensitivity. Liquid biopsies as a source for biomarkers have become the focus of clinical research. Our review highlights alternative biomarkers derived from liquid biopsies, including circulating tumor cells, proteins, circulating nucleic acids, and exosomes, and their potential for clinical application. Using defined combinations of different biomarkers will open new perspectives for diagnosing, treating, and monitoring HCC.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | - Karsten Gülow
- Department of Internal Medicine I, Gastroenterology, Hepatology, Endocrinology, Rheumatology, and Infectious Diseases, University Hospital Regensburg, Regensburg, Germany
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Gil-Gómez A, Rojas Á, Liu CH, Gallego-Duran R, Muñoz-Hernandez R, Fassina G, Pontisso P, Ampuero J, Romero-Gómez M. Combination of squamous cell carcinoma antigen immunocomplex and alpha-fetoprotein in mid- and long-term prediction of hepatocellular carcinoma among cirrhotic patients. World J Gastroenterol 2021; 27:8343-8356. [PMID: 35068873 PMCID: PMC8717022 DOI: 10.3748/wjg.v27.i48.8343] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Revised: 06/27/2021] [Accepted: 12/10/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND The combination of alpha-fetoprotein (AFP) and squamous cell carcinoma antigen immunocomplex (SCCA-IgM) have been proposed for its use in the screening of hepatocellular carcinoma (HCC). Current screening programs for all cirrhotic patients are controversial and a personalized screening is an unmet need in the precision medicine era.
AIM To determine the role of the combination of SCCA-IgM and AFP in predicting mid- and long-term appearance of HCC.
METHODS Two-hundred and three cirrhotic patients (Child A 74.9%, B 21.2%, C 3.9%) were followed-up prospectively every six months to screen HCC by ultrasound and AFP according to European Association for the Study of the Liver guidelines. The estimation cohort was recruited in Italy (30.5%; 62/203) and validation cohort from Spain (69.5%; 141/203). Patients underwent to evaluate SCCA-IgM by enzyme-linked immunosorbent assay (Hepa-IC, Xeptagen, Italy) and AFP levels at baseline. Patients were followed-up for 60 mo, being censored at the time of the appearance of HCC.
RESULTS There were 10.8% and 23.1% of HCC development at two- and five-years follow-up. Patients with HCC showed higher levels of SCCA-IgM than those without it (425.72 ± 568.33 AU/mL vs 195.93 ± 188.40 AU/mL, P = 0.009) during the five-year follow-up. In multivariate analysis, after adjusting by age, sex, aspartate transaminase and Child-Pugh, the following factors were independently associated with HCC: SCCA-IgM [Hazard ratio (HR) = 1.001, 95%CI: 1.000-1.002; P = 0.003], AFP (HR = 1.028, 95%CI: 1.009-1.046; P = 0.003) and creatinine (HR = 1.564 95%CI: 1.151-2.124; P = 0.004). The log-rank test of the combination resulted in 7.488 (P = 0.024) in estimation cohort and 11.061 (P = 0.004) in the validation cohort, and a 100% of correctly classified rate identifying a low-risk group in both cohorts in the two-year follow-up.
CONCLUSION We have constructed a predictive model based on the combination of SCCA-IgM and AFP that provides a new HCC screening method, which could be followed by tailored HCC surveillance for individual patients, especially for those cirrhotic patients belonging to the subgroup identified as low-risk of HCC development.
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Affiliation(s)
- Antonio Gil-Gómez
- SeLiver Group, Institute of Biomedicine of Seville, Seville 41013, Spain
- CIBERehd, Instituto de Salud Carlos III, Madrid 28029, Spain
- Mucosal Immunity Lab, IRCCS Humanitas Research Hospital, Milan 20089, Italy
| | - Ángela Rojas
- SeLiver Group, Institute of Biomedicine of Seville, Seville 41013, Spain
- CIBERehd, Instituto de Salud Carlos III, Madrid 28029, Spain
| | - Chang-Hai Liu
- Center of Infectious Diseases, West China Hospital of Sichuan University, Chengdu 610017, Sichuan Province, China
- State Key Laboratory of Biotherapy and Center of Infectious Diseases, West China Hospital, Chengdu 610017, Sichuan Province, China
| | - Rocio Gallego-Duran
- SeLiver Group, Institute of Biomedicine of Seville, Seville 41013, Spain
- CIBERehd, Instituto de Salud Carlos III, Madrid 28029, Spain
| | - Rocio Muñoz-Hernandez
- SeLiver Group, Institute of Biomedicine of Seville, Seville 41013, Spain
- CIBERehd, Instituto de Salud Carlos III, Madrid 28029, Spain
| | | | - Patrizia Pontisso
- Department of Clinical and Experimental Medicine, University of Padova, Padova 35123, Italy
| | - Javier Ampuero
- SeLiver Group, Institute of Biomedicine of Seville, Seville 41013, Spain
- CIBERehd, Instituto de Salud Carlos III, Madrid 28029, Spain
- UCM Digestive Diseases, Virgen del Rocío University Hospital, Seville 41014, Spain
| | - Manuel Romero-Gómez
- SeLiver Group, Institute of Biomedicine of Seville, Seville 41013, Spain
- CIBERehd, Instituto de Salud Carlos III, Madrid 28029, Spain
- UCM Digestive Diseases, Virgen del Rocío University Hospital, Seville 41014, Spain
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Li ZL, Luo QB, Xiao SS, Lin ZH, Liu YL, Han MY, Zhong JH, Ji TX, Guo XG. Evaluation of GeneXpert vanA/vanB in the early diagnosis of vancomycin-resistant enterococci infection. PLoS Negl Trop Dis 2021; 15:e0009869. [PMID: 34748586 PMCID: PMC8575182 DOI: 10.1371/journal.pntd.0009869] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Accepted: 10/01/2021] [Indexed: 11/18/2022] Open
Abstract
PURPOSE Vancomycin-resistant enterococci infection is a worrying worldwide clinical problem. To evaluate the accuracy of GeneXpert vanA/vanB in the diagnosis of VRE, we conducted a systematic review in the study. METHODS Experimental data were extracted from publications until May 03 2021 related to the diagnostic accuracy of GeneXpert vanA/vanB for VRE in PubMed, Embase, Web of Science and the Cochrane Library. The accuracy of GeneXpert vanA/vanB for VRE was evaluated using summary receiver to operate characteristic curve, pooled sensitivity, pooled specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio. RESULTS 8 publications were divided into 3 groups according to two golden standard references, vanA and vanB group, vanA group, vanB group, including 6 researches, 5 researches and 5 researches, respectively. The pooled sensitivity and specificity of group vanA and vanB were 0.96 (95% CI, 0.93-0.98) and 0.90 (95% CI, 0.88-0.91) respectively. The DOR was 440.77 (95% CI, 37.92-5123.55). The pooled sensitivity and specificity of group vanA were 0.86 (95% CI, 0.81-0.90) and 0.99 (95% CI, 0.99-0.99) respectively, and those of group vanB were 0.85 (95% CI, 0.63-0.97) and 0.82 (95% CI, 0.80-0.83) respectively. CONCLUSION GeneXpert vanA/vanB can diagnose VRE with high-accuracy and shows greater accuracy in diagnosing vanA.
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Affiliation(s)
- Zhuo-Lei Li
- Department of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Department of Clinical Medicine, The Second Clinical School of Guangzhou Medical University, Guangzhou, China
| | - Qi-Bing Luo
- Department of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Department of Clinical Medicine, The Second Clinical School of Guangzhou Medical University, Guangzhou, China
| | - Shan-Shan Xiao
- Department of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Department of Clinical Medicine, The Second Clinical School of Guangzhou Medical University, Guangzhou, China
| | - Ze-Hong Lin
- Department of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Department of Pharmacy, Guangzhou Medical University School of Pharmaceutical Sciences, Guangzhou, China
| | - Ye-Ling Liu
- Department of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Department of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, China
| | - Meng-Yi Han
- Department of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Department of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, China
| | - Jing-Hua Zhong
- Department of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Department of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, China
| | - Tian-Xing Ji
- Department of Clinical Laboratory Medicine, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xu-Guang Guo
- Department of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Department of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, China
- Department of Key Laboratory for Major Obstetric Diseases of Guangdong Province, The Third Clinical School of Guangzhou Medical University, Guangzhou, China
- Department of Key Laboratory of Reproduction and Genetics of Guangdong Higher Education Institutes, The Third Clinical School of Guangzhou Medical University, Guangzhou, China
- * E-mail:
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Malov SI, Malov IV, Kuvshinov AG, Marche PN, Decaens T, Macek-Jilkova Z, Yushchuk ND. Search for Effective Serum Tumor Markers for Early Diagnosis of Hepatocellular Carcinoma Associated with Hepatitis C. Sovrem Tekhnologii Med 2021; 13:27-33. [PMID: 34513063 PMCID: PMC8353694 DOI: 10.17691/stm2021.13.1.03] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2020] [Indexed: 12/24/2022] Open
Abstract
The aim of the study was to identify the most effective serum tumor markers for early diagnosis of hepatocellular carcinoma based on the combination of diagnostic characteristics and correlations.
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Affiliation(s)
- S I Malov
- Associate Professor, Department of Infectious Diseases, Irkutsk State Medical University, 1 Krasnogo Vosstaniya St., Irkutsk, 664003, Russia, Senior Researcher, Central Scientific Research Laboratory, Irkutsk State Medical Academy of Post-Graduate Education, a Branch of the Russian Medical Academy of Continuing Professional Education, 100 Yubileyny Microdistrict, Irkutsk, 664049, Russia
| | - I V Malov
- Professor, Head of the Department of Infectious Diseases, Irkutsk State Medical University, 1 Krasnogo Vosstaniya St., Irkutsk, 664003, Russia
| | - A G Kuvshinov
- Assistant, Department of Oncology and Radiation Therapy, Irkutsk State Medical University, 1 Krasnogo Vosstaniya St., Irkutsk, 664003, Russia
| | - P N Marche
- Professor, Vice Director of Research Center, Institute for Advanced Biosciences, Site Santé, Allée des Alpes, La Tronche, 38700, France
| | - T Decaens
- Professor, Research Director, Laboratory Head of Department of Hepatology and Gastroenterology, Centre Hospitalier Universitaire Grenoble Alpes, Avenue Maquis du Grésivaudan, La Tronche, 38700, France
| | - Z Macek-Jilkova
- Researcher, Department of Hepatology and Gastroenterology, Centre Hospitalier Universitaire Grenoble Alpes, Avenue Maquis du Grésivaudan, La Tronche, 38700, France
| | - N D Yushchuk
- Professor, Academician of the Russian Academy of Sciences, Head of the Department of Infectious Diseases and Epidemiology, A.I. Yevdokimov Moscow State University of Medicine and Dentistry, 20/1 Delegatskaya St., Moscow, 127473, Russia
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Qu X, Shi Z, Guo J, Guo C, Qiu J, Hua K. Identification of a novel six-gene signature with potential prognostic and therapeutic value in cervical cancer. Cancer Med 2021; 10:6881-6896. [PMID: 34498424 PMCID: PMC8495282 DOI: 10.1002/cam4.4054] [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: 01/18/2021] [Revised: 05/09/2021] [Accepted: 05/19/2021] [Indexed: 12/11/2022] Open
Abstract
Introduction Cervical cancer has high mortality, high recurrence and poor prognosis. Although prognostic biomarkers such as clinicopathological features have been proposed, their accuracy and precision are far from satisfactory. Therefore, novel biomarkers are urgently needed for disease surveillance, prognosis prediction and treatment selection. Materials Differentially expressed genes (DEGs) between cervical cancer and normal tissues from three microarray datasets extracted from the Gene Expression Omnibus platform were identified and screened. Based on these DEGs, a six‐gene prognostic signature was constructed using cervical squamous cell carcinoma and endocervical adenocarcinoma data from The Cancer Genome Atlas. Next, the molecular functions and related pathways of the six genes were investigated through gene set enrichment analysis and co‐expression analysis. Additionally, immunophenoscore analysis and the QuartataWeb Server were employed to explore the therapeutic value of the six‐gene signature. Results We discovered 178 overlapping DEGs in three microarray datasets and established a six‐gene (APOC1, GLTP, ISG20, SPP1, SLC24A3 and UPP1) prognostic signature with stable and excellent performance in predicting overall survival in different subgroups. Intriguingly, the six‐gene signature was closely associated with the immune response and tumour immune microenvironment. The six‐gene signature might be used for predicting response to immune checkpoint inhibitors (ICIs) and the six genes may serve as new drug targets for cervical cancer. Conclusion Our study established a novel six‐gene (APOC1, GLTP, ISG20, SPP1, SLC24A3 and UPP1) signature that was closely associated with the immune response and tumour immune microenvironment. The six‐gene signature was indicative of aggressive features of cervical cancer and therefore might serve as a promising biomarker for predicting not only overall survival but also ICI treatment effectiveness. Moreover, three genes (UPP1, ISG20 and GLTP) within the six‐gene signature have the potential to become novel drug targets.
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Affiliation(s)
- Xinyu Qu
- Department of Gynaecology, Obstetrics and Gynaecology Hospital, Fudan University, Shanghai, China.,Shanghai Key Laboratory of Female Reproductive Endocrine-Related Diseases, Shanghai, China
| | - Zhiwen Shi
- Department of Gynaecology, Obstetrics and Gynaecology Hospital, Fudan University, Shanghai, China
| | - Jingjing Guo
- Department of Gynaecology, Obstetrics and Gynaecology Hospital, Fudan University, Shanghai, China.,Shanghai Key Laboratory of Female Reproductive Endocrine-Related Diseases, Shanghai, China
| | - Chenyan Guo
- Department of Gynaecology, Obstetrics and Gynaecology Hospital, Fudan University, Shanghai, China.,Shanghai Key Laboratory of Female Reproductive Endocrine-Related Diseases, Shanghai, China
| | - Junjun Qiu
- Department of Gynaecology, Obstetrics and Gynaecology Hospital, Fudan University, Shanghai, China.,Shanghai Key Laboratory of Female Reproductive Endocrine-Related Diseases, Shanghai, China
| | - Keqin Hua
- Department of Gynaecology, Obstetrics and Gynaecology Hospital, Fudan University, Shanghai, China.,Shanghai Key Laboratory of Female Reproductive Endocrine-Related Diseases, Shanghai, China
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10
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Evaluation of Xpert GBS assay and Xpert GBS LB assay for detection of Streptococcus agalactiae. Ann Clin Microbiol Antimicrob 2021; 20:62. [PMID: 34488790 PMCID: PMC8419907 DOI: 10.1186/s12941-021-00461-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Accepted: 08/16/2021] [Indexed: 01/31/2023] Open
Abstract
BACKGROUND Group B Streptococcal (GBS) infection is the primary agent of neonatal morbidity and mortality. Rapid and simple methods to detect GBS are Xpert GBS and GBS LB assays based on real-time polymerase chain reaction (PCR). However, since the diagnostic accuracy of the two techniques in diagnosing GBS remains unclear, we designed this study to appraise the diagnostic accuracy of the aforementioned. METHODS A systematic search of all literature published before July 16, 2020 was conducted using Embase, PubMed, Web of Science, and Cochrane Library. The study quality was evaluated through Review Manager 5.3. Accordingly, data extracted in the included studies were analyzed using Meta-DiSc 1.4 and Stata 12.0 software. The diagnosis odds ratio (DOR) and bivariate boxplot were utilized to evaluate the heterogeneity. Publication bias was appraised by using Deeks' funnel plot. RESULTS A total of 13 studies were adopted and only 19 sets of data met the criteria. The sensitivity and specificity of Xpert GBS were 0.91 (95% CI 0.89-0.92) and 0.93 (95% CI 0.92-0.94). The area under the curve (AUC) was 0.9806. The sensitivity and specificity results of Xpert GBS LB were 0.96 (95% CI 0.95-0.98) and 0.94 (95% CI 0.92-0.95), respectively. The AUC was 0.9950. No publication bias was found. CONCLUSIONS The Xpert GBS and GBS LB assays are valuable alternative methods with high sensitivity and specificity. However, determining whether they can be used as clinical diagnostic standards for GBS is essential for the future.
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11
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Ni X, Li D, Dai S, Pan H, Sun H, Ao J, Chen L, Kong H. Development and Evaluation of Nomograms to Predict the Cancer-Specific Mortality and Overall Mortality of Patients with Hepatocellular Carcinoma. BIOMED RESEARCH INTERNATIONAL 2021; 2021:1658403. [PMID: 33860031 PMCID: PMC8024067 DOI: 10.1155/2021/1658403] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/03/2020] [Revised: 01/11/2021] [Accepted: 03/22/2021] [Indexed: 01/10/2023]
Abstract
Hepatocellular carcinoma (HCC) is the most common type among primary liver cancers (PLC). With its poor prognosis and survival rate, it is necessary for HCC patients to have a long-term follow-up. We believe that there are currently no relevant reports or literature about nomograms for predicting the cancer-specific mortality of HCC patients. Therefore, the primary goal of this study was to develop and evaluate nomograms to predict cancer-specific mortality and overall mortality. Data of 45,158 cases of HCC patients were collected from the Surveillance, Epidemiology, and End Results (SEER) program database between 2004 and 2013, which were then utilized to develop the nomograms. Finally, the performance of the nomograms was evaluated by the concordance index (C-index) and the area under the time-dependent receiver operating characteristic (ROC) curve (td-AUC). The categories selected to develop a nomogram for predicting cancer-specific mortality included marriage, insurance, radiotherapy, surgery, distant metastasis, lymphatic metastasis, tumor size, grade, sex, and the American Joint Committee on Cancer (AJCC) stage; while the marriage, radiotherapy, surgery, AJCC stage, grade, race, sex, and age were selected to develop a nomogram for predicting overall mortality. The C-indices for predicted 1-, 3-, and 5-year cancer-specific mortality were 0.792, 0.776, and 0.774; the AUC values for 1-, 3-, and 5-year cancer-specific mortality were 0.830, 0.830, and 0.830. The C-indices for predicted 1-, 3-, and 5-year overall mortality were 0.770, 0.755, and 0.752; AUC values for predicted 1-, 3-, and 5-year overall mortality were 0.820, 0.820, and 0.830. The results showed that the nomograms possessed good agreement compared with the observed outcomes. It could provide clinicians with a personalized predicted risk of death information to evaluate the potential changes of the disease-specific condition so that clinicians can adjust therapy options when combined with the actual condition of the patient, which is beneficial to patients.
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Affiliation(s)
- Xiaofeng Ni
- Department of Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China
- Key Laboratory of Diagnosis and Treatment of Severe Hepato-Pancreatic Diseases of Zhejiang Province, Zhejiang Provincial Top Key Discipline in Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China
| | - Ding Li
- Key Laboratory of Diagnosis and Treatment of Severe Hepato-Pancreatic Diseases of Zhejiang Province, Zhejiang Provincial Top Key Discipline in Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China
| | - Shengjie Dai
- Department of Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China
| | - Hao Pan
- Department of Orthopaedics, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China
| | - Hongwei Sun
- Department of Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China
| | - Jianyang Ao
- Department of Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China
| | - Lei Chen
- Department of Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China
- Department of Orthopaedics, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China
| | - Hongru Kong
- Department of Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China
- Key Laboratory of Diagnosis and Treatment of Severe Hepato-Pancreatic Diseases of Zhejiang Province, Zhejiang Provincial Top Key Discipline in Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China
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12
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Moldogazieva NT, Mokhosoev IM, Zavadskiy SP, Terentiev AA. Proteomic Profiling and Artificial Intelligence for Hepatocellular Carcinoma Translational Medicine. Biomedicines 2021; 9:biomedicines9020159. [PMID: 33562077 PMCID: PMC7914649 DOI: 10.3390/biomedicines9020159] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2020] [Revised: 01/27/2021] [Accepted: 02/02/2021] [Indexed: 02/06/2023] Open
Abstract
Hepatocellular carcinoma (HCC) is the most common primary cancer of the liver with high morbidity and mortality rates worldwide. Since 1963, when alpha-fetoprotein (AFP) was discovered as a first HCC serum biomarker, several other protein biomarkers have been identified and introduced into clinical practice. However, insufficient specificity and sensitivity of these biomarkers dictate the necessity of novel biomarker discovery. Remarkable advancements in integrated multiomics technologies for the identification of gene expression and protein or metabolite distribution patterns can facilitate rising to this challenge. Current multiomics technologies lead to the accumulation of a huge amount of data, which requires clustering and finding correlations between various datasets and developing predictive models for data filtering, pre-processing, and reducing dimensionality. Artificial intelligence (AI) technologies have an enormous potential to overcome accelerated data growth, complexity, and heterogeneity within and across data sources. Our review focuses on the recent progress in integrative proteomic profiling strategies and their usage in combination with machine learning and deep learning technologies for the discovery of novel biomarker candidates for HCC early diagnosis and prognosis. We discuss conventional and promising proteomic biomarkers of HCC such as AFP, lens culinaris agglutinin (LCA)-reactive L3 glycoform of AFP (AFP-L3), des-gamma-carboxyprothrombin (DCP), osteopontin (OPN), glypican-3 (GPC3), dickkopf-1 (DKK1), midkine (MDK), and squamous cell carcinoma antigen (SCCA) and highlight their functional significance including the involvement in cell signaling such as Wnt/β-catenin, PI3K/Akt, integrin αvβ3/NF-κB/HIF-1α, JAK/STAT3 and MAPK/ERK-mediated pathways dysregulated in HCC. We show that currently available computational platforms for big data analysis and AI technologies can both enhance proteomic profiling and improve imaging techniques to enhance the translational application of proteomics data into precision medicine.
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Affiliation(s)
- Nurbubu T. Moldogazieva
- Laboratory of Bioinformatics, Institute of Translational Medicine and Biotechnology, I.M. Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia
- Correspondence: or
| | - Innokenty M. Mokhosoev
- Department of Biochemistry and Molecular Biology, N.I. Pirogov Russian National Research Medical University, 117997 Moscow, Russia; (I.M.M.); (A.A.T.)
| | - Sergey P. Zavadskiy
- Department of Pharmacology, A.P. Nelyubin Institute of Pharmacy, I.M. Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia;
| | - Alexander A. Terentiev
- Department of Biochemistry and Molecular Biology, N.I. Pirogov Russian National Research Medical University, 117997 Moscow, Russia; (I.M.M.); (A.A.T.)
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13
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Chen L, Luo T, Yang J, Wang K, Liu S, Wei Y, Liu H, Xu J, Zheng J, Zeng Y. Assessment of serum synuclein-γ and squamous cell carcinoma antigen as diagnostic biomarkers in patients with oral squamous cell carcinoma and oral potentially malignant disorders. J Oral Pathol Med 2020; 50:165-174. [PMID: 33064859 DOI: 10.1111/jop.13115] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2020] [Revised: 09/21/2020] [Accepted: 10/03/2020] [Indexed: 12/24/2022]
Abstract
BACKGROUND Clinical diagnosis and monitoring are crucial to reduce the mortality from oral squamous cell carcinoma (OSCC) and oral potentially malignant disorders (OPMDs). It has been demonstrated that synuclein-γ (SNCG) and squamous cell carcinoma antigen (SCCAg) are highly expressed in patients with OSCC and perhaps participate in OSCC progression. This study analyzed the levels of serum SNCG and SCCAg in OSCC, OPMD, and control patients, and evaluated the diagnostic and clinical value of single and combined detection of serum SNCG and SCCAg in OSCC and OPMDs. PATIENTS AND METHODS Serum samples were collected from 197 patients including 87 patients with OSCC, 30 patients with OPMDs, and 80 healthy volunteers as controls. Enzyme-linked immunosorbent assay and statistical analysis were utilized to determine SNCG and SCCAg levels in serum. RESULTS The levels of SNCG and SCCAg in serum were significantly higher in OSCC compared with OPMDs and controls. There was a correlation between SNCG level and ethnicity, and SCCAg was correlated with differentiation. Furthermore, the area under the curves, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of combined detection of SNCG and SCCAg were better than any single detection. CONCLUSION The combined detection of SNCG and SCCAg in serum could become a new standard method to distinguish between OSCC and OPMDs and improve diagnostic performance for OSCC.
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Affiliation(s)
- Leiyu Chen
- Department of Stomatology, The First Affiliated Hospital, School of Medicine, Shihezi University, Shihezi, China.,Key Laboratory of Xinjiang Endemic and Ethnic Disease, School of Medicine, Shihezi University, Shihezi, China
| | - Ting Luo
- Key Laboratory of Xinjiang Endemic and Ethnic Disease, School of Medicine, Shihezi University, Shihezi, China
| | - Jie Yang
- Key Laboratory of Xinjiang Endemic and Ethnic Disease, School of Medicine, Shihezi University, Shihezi, China.,Department of Laboratory, The First Affiliated Hospital, School of Medicine, Shihezi University, Shihezi, China
| | - Keying Wang
- Department of Stomatology, The First Affiliated Hospital, School of Medicine, Shihezi University, Shihezi, China.,Key Laboratory of Xinjiang Endemic and Ethnic Disease, School of Medicine, Shihezi University, Shihezi, China
| | - Shiyu Liu
- School of Medicine, Shihezi University, Shihezi, China
| | - Yi Wei
- School of Medicine, Shihezi University, Shihezi, China
| | - Han Liu
- School of Medicine, Shihezi University, Shihezi, China
| | - Jiang Xu
- Department of Stomatology, The First Affiliated Hospital, School of Medicine, Shihezi University, Shihezi, China
| | - Jun Zheng
- Department of Stomatology, The First Affiliated Hospital, School of Medicine, Shihezi University, Shihezi, China
| | - Yan Zeng
- Department of Stomatology, The First Affiliated Hospital, School of Medicine, Shihezi University, Shihezi, China.,Key Laboratory of Xinjiang Endemic and Ethnic Disease, School of Medicine, Shihezi University, Shihezi, China
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Pelizzaro F, Soldà F, Cardin R, Imondi A, Sartori A, Penzo B, Sammarco A, Aliberti C, Vitale A, Cillo U, Farinati F. SCCA-IgM in hepatocellular carcinoma patients treated with transarterial chemoembolization: gender-related differences. Biomark Med 2020; 14:855-867. [PMID: 32808827 DOI: 10.2217/bmm-2019-0564] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2019] [Accepted: 05/18/2020] [Indexed: 02/06/2023] Open
Abstract
Aim: Squamous cell carcinoma antigen immune complexed with immunoglobulin M (SCCA-IgM) is a useful but not completely satisfactory biomarker of hepatocellular carcinoma (HCC). Considering its gender-specific behavior in preclinical models, we investigated gender-related differences of SCCA-IgM as a prognostic marker in HCC. Patients & methods: Two hundred and eight prospectively recruited patients treated with transarterial chemoembolization in a single tertiary care hospital were retrospectively evaluated. Correlations between SCCA-IgM levels, clinical characteristics and survival were assessed according to gender. Results: When the disease was advanced, SCCA-IgM was higher in males and lower in females. Levels below 130 AU/ml predicted a significantly longer survival in males (p = 0.007) and a shorter survival in females (p = 0.01). Conclusion: In predicting the prognosis of HCC patients, the interpretation of SCCA-IgM should consider gender as a relevant variable.
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Affiliation(s)
- Filippo Pelizzaro
- Department of Surgery, Oncology & Gastroenterology, Gastroenterology Unit, University of Padova, Padova, Italy
| | - Federica Soldà
- Department of Surgery, Oncology & Gastroenterology, Gastroenterology Unit, University of Padova, Padova, Italy
| | - Romilda Cardin
- Department of Surgery, Oncology & Gastroenterology, Gastroenterology Unit, University of Padova, Padova, Italy
| | - Angela Imondi
- Department of Surgery, Oncology & Gastroenterology, Gastroenterology Unit, University of Padova, Padova, Italy
| | - Anna Sartori
- Department of Surgery, Oncology & Gastroenterology, Gastroenterology Unit, University of Padova, Padova, Italy
| | - Barbara Penzo
- Department of Surgery, Oncology & Gastroenterology, Gastroenterology Unit, University of Padova, Padova, Italy
| | - Ambra Sammarco
- Department of Surgery, Oncology & Gastroenterology, Gastroenterology Unit, University of Padova, Padova, Italy
| | - Camillo Aliberti
- Department of Radiology, Radiology Unit, Azienda Ospedale-Università di Padova, Padova, Italy
| | - Alessandro Vitale
- Department of Surgery, Oncology & Gastroenterology, Hepatobiliary Surgery & Liver Transplantation Unit, University of Padova, Padova, Italy
| | - Umberto Cillo
- Department of Surgery, Oncology & Gastroenterology, Hepatobiliary Surgery & Liver Transplantation Unit, University of Padova, Padova, Italy
| | - Fabio Farinati
- Department of Surgery, Oncology & Gastroenterology, Gastroenterology Unit, University of Padova, Padova, Italy
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15
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Parikh ND, Mehta AS, Singal AG, Block T, Marrero JA, Lok AS. Biomarkers for the Early Detection of Hepatocellular Carcinoma. Cancer Epidemiol Biomarkers Prev 2020; 29:2495-2503. [PMID: 32238405 DOI: 10.1158/1055-9965.epi-20-0005] [Citation(s) in RCA: 66] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2020] [Revised: 02/17/2020] [Accepted: 03/16/2020] [Indexed: 02/06/2023] Open
Abstract
Hepatocellular carcinoma (HCC) is a leading cause of cancer-related death worldwide, and the cancer with the fastest increase in mortality in the United States, with more than 39,000 cases and 29,000 deaths in 2018. As with many cancers, survival is significantly improved by early detection. The median survival of patients with early HCC is >60 months but <15 months when detected at an advanced stage. Surveillance of at-risk patients improves outcome, but fewer than 20% of those at risk for HCC receive surveillance, and current surveillance strategies have limited sensitivity and specificity. Ideally, blood-based biomarkers with adequate sensitivity or specificity would be available for early detection of HCC; however, the most commonly used biomarker for HCC, alpha-fetoprotein, has inadequate performance characteristics. There are several candidate serum proteomic, glycomic, and genetic markers that have gone through early stages of biomarker validation and have shown promise for the early detection of HCC, but these markers require validation in well-curated cohorts. Ongoing prospective cohort studies will permit retrospective longitudinal (phase III biomarker study) validation of biomarkers. In this review, we highlight promising candidate biomarkers and biomarker panels that have completed phase II evaluation but require further validation prior to clinical use.See all articles in this CEBP Focus section, "NCI Early Detection Research Network: Making Cancer Detection Possible."
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Affiliation(s)
- Neehar D Parikh
- Division of Gastroenterology and Hepatology, University of Michigan, Ann Arbor, Michigan.
| | - Anand S Mehta
- Department of Cell and Molecular Pharmacology, Medical University of South Carolina, Charleston, South Carolina
| | - Amit G Singal
- Division of Digestive and Liver Diseases, UT Southwestern Medical Center, Dallas, Texas
| | - Timothy Block
- Baruch S. Blumberg Institute of The Hepatitis B Foundation, Doylestown, Pennsylvania
| | - Jorge A Marrero
- Division of Digestive and Liver Diseases, UT Southwestern Medical Center, Dallas, Texas
| | - Anna S Lok
- Division of Gastroenterology and Hepatology, University of Michigan, Ann Arbor, Michigan
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16
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Campion D, Tucci A, Ponzo P, Caviglia GP. Non-invasive biomarkers for the detection of hepatocellular carcinoma. MINERVA BIOTECNOL 2019. [DOI: 10.23736/s1120-4826.18.02488-6] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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