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Ye J, Ying J, Chen H, Wu Z, Huang C, Zhang C, Chen Z, Chen H. PPIH acts as a potential predictive biomarker for patients with common solid tumors. BMC Cancer 2024; 24:681. [PMID: 38834966 DOI: 10.1186/s12885-024-12446-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Accepted: 05/28/2024] [Indexed: 06/06/2024] Open
Abstract
BACKGROUND Our previous studies have indicated that mRNA and protein levels of PPIH are significantly upregulated in Hepatocellular Carcinoma (LIHC) and could act as predictive biomarkers for patients with LIHC. Nonetheless, the expression and implications of PPIH in the etiology and progression of common solid tumors have yet to be explored, including its potential as a serum tumor marker. METHODS We employed bioinformatics analyses, augmented with clinical sample evaluations, to investigate the mRNA and protein expression and gene regulation networks of PPIH in various solid tumors. We also assessed the association between PPIH expression and overall survival (OS) in cancer patients using Kaplan-Meier analysis with TCGA database information. Furthermore, we evaluated the feasibility and diagnostic efficacy of PPIH as a serum marker by integrating serological studies with established clinical tumor markers. RESULTS Through pan-cancer analysis, we found that the expression levels of PPIH mRNA in multiple tumors were significantly different from those in normal tissues. This study is the first to report that PPIH mRNA and protein levels are markedly elevated in LIHC, Colon adenocarcinoma (COAD), and Breast cancer (BC), and are associated with a worse prognosis in these cancer patients. Conversely, serum PPIH levels are decreased in patients with these tumors (LIHC, COAD, BC, gastric cancer), and when combined with traditional tumor markers, offer enhanced sensitivity and specificity for diagnosis. CONCLUSION Our findings propose that PPIH may serve as a valuable predictive biomarker in tumor patients, and its secreted protein could be a potential serum marker, providing insights into the role of PPIH in cancer development and progression.
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MESH Headings
- Humans
- Biomarkers, Tumor/blood
- Biomarkers, Tumor/genetics
- Prognosis
- Female
- Liver Neoplasms/genetics
- Liver Neoplasms/blood
- Liver Neoplasms/mortality
- Gene Expression Regulation, Neoplastic
- Carcinoma, Hepatocellular/genetics
- Carcinoma, Hepatocellular/blood
- Carcinoma, Hepatocellular/mortality
- Carcinoma, Hepatocellular/pathology
- Carcinoma, Hepatocellular/diagnosis
- Neoplasms/genetics
- Neoplasms/blood
- Neoplasms/mortality
- Neoplasms/diagnosis
- Male
- Computational Biology/methods
- RNA, Messenger/genetics
- RNA, Messenger/metabolism
- Kaplan-Meier Estimate
- Breast Neoplasms/genetics
- Breast Neoplasms/blood
- Breast Neoplasms/mortality
- Breast Neoplasms/diagnosis
- Breast Neoplasms/pathology
- Stomach Neoplasms/genetics
- Stomach Neoplasms/blood
- Stomach Neoplasms/diagnosis
- Stomach Neoplasms/mortality
- Stomach Neoplasms/pathology
- Colonic Neoplasms/genetics
- Colonic Neoplasms/blood
- Colonic Neoplasms/diagnosis
- Colonic Neoplasms/pathology
- Colonic Neoplasms/mortality
- Gene Regulatory Networks
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Affiliation(s)
- Jun Ye
- Department of Clinical Laboratory, The Second Affiliated Hospital of Guizhou Medical University, Kaili, Guizhou, 556000, China
| | - Jianchao Ying
- Wenzhou Key Laboratory of Emergency, Critical Care, and Disaster Medicine, Central Laboratory, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Haixia Chen
- College of Laboratory Medicine, Guizhou Medical University, Guiyang, Guizhou, 550001, China
| | - Zhiping Wu
- Department of Clinical Laboratory, The Second Affiliated Hospital of Guizhou Medical University, Kaili, Guizhou, 556000, China
| | - Chaolin Huang
- Department of Gynaecology, The First Affiliated Hospital of Chengdu Medical College, Chengdu, China
| | - Chuan Zhang
- Department of Pathology, The Second Affiliated Hospital of Guizhou Medical University, Kaili, Guizhou, 556000, China
| | - Zhitao Chen
- Department of Pathology, The Second Affiliated Hospital of Guizhou Medical University, Kaili, Guizhou, 556000, China
| | - Haini Chen
- Department of Clinical Laboratory, The Second Affiliated Hospital of Guizhou Medical University, Kaili, Guizhou, 556000, China.
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Okada R, Otsuka Y, Kajiwara Y, Maeda T, Ishii J, Kimura K, Matsumoto Y, Ito Y, Funahashi K, Shimada H. Prognostic and diagnostic effects of high serum midkine levels in patients with hepatocellular carcinoma. Oncol Lett 2024; 27:283. [PMID: 38736738 PMCID: PMC11082639 DOI: 10.3892/ol.2024.14416] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Accepted: 03/26/2024] [Indexed: 05/14/2024] Open
Abstract
Midkine (MK) is a soluble cytokine, and its serum levels strongly correspond to protein expression levels in tumors. The present study aimed to clarify the clinicopathological and prognostic significance of serum MK (s-MK) in patients with hepatocellular carcinoma (HCC). Serum samples were obtained before surgery from 123 patients with HCC who had undergone surgery between January 2012 and December 2020. The receiver operating characteristic curve revealed that the best cut-off value for s-MK in differentiating HCC from healthy cases was 426 pg/ml. The clinicopathological variables and overall survival of patients were compared between the s-MK-positive group and s-MK-negative group. The sensitivity, specificity and accuracy of s-MK were 82.1, 97.4 and 88.0%, respectively. An s-MK-positive status was significantly associated with the number of tumors (≥2). The positivity rate of s-MK was significantly higher compared with that of α-fetoprotein and protein-induced by vitamin K absence-II. In total, only 28% of the patients were positive for s-MK. The s-MK-positive group showed significantly worse overall survival compared with the s-MK-negative group. Moreover, multivariate analysis revealed that an s-MK-positive status was independently associated with poor prognosis. s-MK was useful in detecting early HCC. The findings of this study indicated that the s-MK-positive status is associated with the number of tumors and can act as an independent prognostic risk factor.
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Affiliation(s)
- Rei Okada
- Department of Surgery, School of Medicine, Toho University, Ota City, Tokyo 143-8541, Japan
| | - Yuichiro Otsuka
- Department of Surgery, School of Medicine, Toho University, Ota City, Tokyo 143-8541, Japan
| | - Yoji Kajiwara
- Department of Surgery, School of Medicine, Toho University, Ota City, Tokyo 143-8541, Japan
| | - Tetsuya Maeda
- Department of Surgery, School of Medicine, Toho University, Ota City, Tokyo 143-8541, Japan
| | - Jun Ishii
- Department of Surgery, School of Medicine, Toho University, Ota City, Tokyo 143-8541, Japan
| | - Kazutaka Kimura
- Department of Surgery, School of Medicine, Toho University, Ota City, Tokyo 143-8541, Japan
| | - Yu Matsumoto
- Department of Surgery, School of Medicine, Toho University, Ota City, Tokyo 143-8541, Japan
| | - Yuko Ito
- Department of Surgery, School of Medicine, Toho University, Ota City, Tokyo 143-8541, Japan
| | - Kimihiko Funahashi
- Department of Surgery, School of Medicine, Toho University, Ota City, Tokyo 143-8541, Japan
| | - Hideaki Shimada
- Department of Surgery, School of Medicine, Toho University, Ota City, Tokyo 143-8541, Japan
- Department of Gastroenterological Surgery and Clinical Oncology, Graduate School of Medicine, Toho University, Ota City, Tokyo 143-8541, Japan
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Sukaram T, Tansawat R, Phathong C, Rerknimitr R, Chaiteerakij R. Volatile organic compounds for diagnosis of early hepatocellular carcinoma in at-risk patients. Clin Chim Acta 2024; 556:117831. [PMID: 38378104 DOI: 10.1016/j.cca.2024.117831] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2023] [Revised: 02/10/2024] [Accepted: 02/14/2024] [Indexed: 02/22/2024]
Abstract
BACKGROUND Volatile organic compounds (VOCs) have been shown as promising biomarkers for hepatocellular carcinoma (HCC) diagnosis. We aimed to investigate the performance of VOCs for diagnosing early-stage HCC in patients at-risk for HCC. METHODS VOCs were identified in exhaled breath samples collected from 87 early-stage HCC patients, 90 cirrhotic patients, and 72 HBV-infected patients using thermal desorption-gas chromatography/field-asymmetric ion mobility spectrometry. The VOC levels were compared between the three groups. An association between VOCs and HCC was determined using logistic regression analysis. Diagnostic performance of VOCs was estimated using the AUROC and compared to serum alpha-fetoprotein (AFP). RESULTS The levels of acetone monomer, dimethyl sulfide, 1,4-pentadiene, isopropyl alcohol, and acetone dimer were significantly different between the three groups. After adjusting for liver function test and AFP, acetone dimer was significantly associated with HCC. Acetone dimer significantly outperformed AFP with 86.2 % vs. 61.2 % sensitivity, 87.6 % vs. 66.2 % specificity, 86.9 % vs. 63.5 % for accuracy, and AUROC of 0.908 vs. 0.665, p = 0.007, <0.001, <0.001, and 0.001, respectively, for differentiating between HCC and cirrhosis. CONCLUSION Acetone showed a better performance than AFP for diagnosing early HCC in at-risk patients. Further studies to validate the utility of VOCs as an HCC surveillance tool are needed.
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Affiliation(s)
- Thanikan Sukaram
- Division of Gastroenterology, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Thai Red Cross, Bangkok, Thailand
| | - Rossarin Tansawat
- Department of Food and Pharmaceutical Chemistry, Faculty of Pharmaceutical Sciences, Chulalongkorn University, Bangkok, Thailand; Center of Excellence for Innovation and Endoscopy in Gastrointestinal Oncology, Chulalongkorn University, Bangkok, Thailand
| | - Chonlada Phathong
- Division of Gastroenterology, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Thai Red Cross, Bangkok, Thailand
| | - Rungsun Rerknimitr
- Division of Gastroenterology, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Thai Red Cross, Bangkok, Thailand; Center of Excellence for Innovation and Endoscopy in Gastrointestinal Oncology, Chulalongkorn University, Bangkok, Thailand
| | - Roongruedee Chaiteerakij
- Division of Gastroenterology, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Thai Red Cross, Bangkok, Thailand; Center of Excellence for Innovation and Endoscopy in Gastrointestinal Oncology, Chulalongkorn University, Bangkok, Thailand.
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Zhu L, Zou S, Yao D, Li J, Xiong Y, Wu Q, Du Y, Wang J, Wu T, Wei B. Profiling of aberrant sialylated N-glycans in hepatocellular carcinoma by liquid chromatography mass spectrometry. Clin Chim Acta 2024; 555:117827. [PMID: 38346531 DOI: 10.1016/j.cca.2024.117827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Revised: 01/24/2024] [Accepted: 02/07/2024] [Indexed: 02/15/2024]
Abstract
BACKGROUND Aberrant sialylation is closely associated with the tumorigenesis, progression, and metastasis, and may be of importance for disease diagnosis. However, the analysis of altered expression of sialylated glycans (SGs) in blood is particularly challenging due to the low content and poor ionization efficiency of sialylated glycans in mass spectrometry. METHODS An analytical strategy based on enrichment of SGs, liquid chromatography-high resolution mass spectrometric detection, and automatic glycan annotation was developed to profile the sialylated N-glycome in serum. The enrichment of sialylated glycans was accomplished using cationic cotton via electrostatic and hydrogen interaction. Using partial least squares-discriminant analysis (PLS-DA), the approach was applied for nontarget screening and profiling of aberrant sialylated N-glycans in hepatocellular carcinoma (HCC). RESULTS 55 SGs were identified in human serum, and three important SGs (SG35, SG45, and SG46) were screened to have good diagnostic specificity for HCC. Their areas under the receiver operating characteristic (ROC) curve (AUC) were higher than α-fetoprotein (AFP)'s (AUC = 0.85), at 0.88, 0.87, and 0.91, respectively. When three SGs are combined, the diagnostic specificity for HCC may increase to 94 %. The fact that SGs biomarkers are sensitive to AFP-Negative HCC is very noteworthy. CONCLUSIONS The method significantly advanced the search for sialylated glycan-based cancer biomarkers. In comparison to traditional indicators like AFP and imaging tools, SGs showed a higher diagnostic sensitivity for HCC.
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Affiliation(s)
- Lijia Zhu
- School of Chemistry and Molecular Engineering & Shanghai Key Laboratory of Functional Materials Chemistry, and Research Centre of Analysis and Test, East China University of Science and Technology, Shanghai 200237, China
| | - Shengsi Zou
- School of Chemistry and Molecular Engineering & Shanghai Key Laboratory of Functional Materials Chemistry, and Research Centre of Analysis and Test, East China University of Science and Technology, Shanghai 200237, China
| | - Dan Yao
- Department of Electricity Physiology, The Third Affiliated Hospital of Qiqihar Medical University, Heilongjiang 161000, China
| | - Juan Li
- School of Chemistry and Molecular Engineering & Shanghai Key Laboratory of Functional Materials Chemistry, and Research Centre of Analysis and Test, East China University of Science and Technology, Shanghai 200237, China
| | - Yinran Xiong
- School of Chemistry and Molecular Engineering & Shanghai Key Laboratory of Functional Materials Chemistry, and Research Centre of Analysis and Test, East China University of Science and Technology, Shanghai 200237, China
| | - Qiong Wu
- School of Chemistry and Molecular Engineering & Shanghai Key Laboratory of Functional Materials Chemistry, and Research Centre of Analysis and Test, East China University of Science and Technology, Shanghai 200237, China
| | - Yiping Du
- School of Chemistry and Molecular Engineering & Shanghai Key Laboratory of Functional Materials Chemistry, and Research Centre of Analysis and Test, East China University of Science and Technology, Shanghai 200237, China
| | - Junxue Wang
- Department of infectious diseases, Changzheng Hospital, Naval Medical University, Shanghai 200003, China
| | - Ting Wu
- School of Chemistry and Molecular Engineering & Shanghai Key Laboratory of Functional Materials Chemistry, and Research Centre of Analysis and Test, East China University of Science and Technology, Shanghai 200237, China.
| | - Bo Wei
- Department of infectious diseases, Changzheng Hospital, Naval Medical University, Shanghai 200003, China.
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5
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Wang Z, Kong L, Zhang R, Yang X, Cao Z, Xu T, Zhang H, Dou Y. Serum Aldo-Keto Reductase Family 1 Member B10 (AKR1B10) as a Potential Biomarker for Diagnosis of Hepatocellular Carcinoma. J Hepatocell Carcinoma 2024; 11:131-143. [PMID: 38250307 PMCID: PMC10799617 DOI: 10.2147/jhc.s443006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Accepted: 01/11/2024] [Indexed: 01/23/2024] Open
Abstract
Objective To evaluate the diagnostic performance of aldo-keto reductase family 1 member B10 (AKR1B10) in a Beijing cohort with hepatocellular carcinoma (HCC). Methods This study included 521 subjects who visited Peking Union Medical College Hospital from June 2017 to May 2023, including 109 cases of HCC, 165 cases of healthy controls, 106 cases of benign liver diseases, and 141 cases of other cancers. Serum AKR1B10 levels were measured and compared across various groups. Diagnostic performances of serum AKR1B10 and other tumor markers were assessed using receiver operator characteristic (ROC) curves. In addition, a subset of HCC patients who underwent surgical resection were recruited for clinical follow-up study. Results We found that serum AKR1B10 expression was higher in patients with HCC relative to other control groups. The association between serum AKR1B10 and clinical features of HCC was not observed. Serum AKR1B10 showed a high diagnostic performance for HCC, and when combined with AFP, the diagnostic effectiveness was significantly improved. Specifically, serum AKR1B10 showed superior diagnostic effectiveness for AFP-negative HCC. The clinical follow-up study indicated a gradual decrease in serum AKR1B10 after surgery. Conclusion Our study demonstrated that serum AKR1B10 is a promising biomarker for HCC, and when used in combination with AFP can significantly improve the detection rate of HCC.
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Affiliation(s)
- Ziran Wang
- Department of Clinical Laboratory, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, People’s Republic of China
| | - Lingjun Kong
- Department of Clinical Laboratory, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, People’s Republic of China
| | - Rui Zhang
- Department of Clinical Laboratory, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, People’s Republic of China
| | - Xiaobo Yang
- Department of Liver Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, People’s Republic of China
| | - Zhe Cao
- Hunan Light of Life Biotechnology Co., Ltd., Ningxiang, Hunan, People’s Republic of China
| | - Tengda Xu
- Department of Health Management, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, People’s Republic of China
| | - Han Zhang
- Department of Clinical Laboratory, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, People’s Republic of China
| | - Yaling Dou
- Department of Clinical Laboratory, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, People’s Republic of China
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Lee YT, Fujiwara N, Yang JD, Hoshida Y. Risk stratification and early detection biomarkers for precision HCC screening. Hepatology 2023; 78:319-362. [PMID: 36082510 PMCID: PMC9995677 DOI: 10.1002/hep.32779] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 08/25/2022] [Accepted: 08/28/2022] [Indexed: 12/08/2022]
Abstract
Hepatocellular carcinoma (HCC) mortality remains high primarily due to late diagnosis as a consequence of failed early detection. Professional societies recommend semi-annual HCC screening in at-risk patients with chronic liver disease to increase the likelihood of curative treatment receipt and improve survival. However, recent dynamic shift of HCC etiologies from viral to metabolic liver diseases has significantly increased the potential target population for the screening, whereas annual incidence rate has become substantially lower. Thus, with the contemporary HCC etiologies, the traditional screening approach might not be practical and cost-effective. HCC screening consists of (i) definition of rational at-risk population, and subsequent (ii) repeated application of early detection tests to the population at regular intervals. The suboptimal performance of the currently available HCC screening tests highlights an urgent need for new modalities and strategies to improve early HCC detection. In this review, we overview recent developments of clinical, molecular, and imaging-based tools to address the current challenge, and discuss conceptual framework and approaches of their clinical translation and implementation. These encouraging progresses are expected to transform the current "one-size-fits-all" HCC screening into individualized precision approaches to early HCC detection and ultimately improve the poor HCC prognosis in the foreseeable future.
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Affiliation(s)
- Yi-Te Lee
- California NanoSystems Institute, Crump Institute for Molecular Imaging, Department of Molecular and Medical Pharmacology, University of California, Los Angeles, Los Angeles, California
| | - Naoto Fujiwara
- Liver Tumor Translational Research Program, Simmons Comprehensive Cancer Center, Division of Digestive and Liver Diseases, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Ju Dong Yang
- Karsh Division of Gastroenterology and Hepatology, Cedars-Sinai Medical Center, Los Angeles, California; Comprehensive Transplant Center, Cedars-Sinai Medical Center, Los Angeles, Los Angeles, California; Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, California
| | - Yujin Hoshida
- Liver Tumor Translational Research Program, Simmons Comprehensive Cancer Center, Division of Digestive and Liver Diseases, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas
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Shahini E, Pasculli G, Solimando AG, Tiribelli C, Cozzolongo R, Giannelli G. Updating the Clinical Application of Blood Biomarkers and Their Algorithms in the Diagnosis and Surveillance of Hepatocellular Carcinoma: A Critical Review. Int J Mol Sci 2023; 24:ijms24054286. [PMID: 36901717 PMCID: PMC10001986 DOI: 10.3390/ijms24054286] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Revised: 02/14/2023] [Accepted: 02/17/2023] [Indexed: 02/24/2023] Open
Abstract
The most common primary liver cancer is hepatocellular carcinoma (HCC), and its mortality rate is increasing globally. The overall 5-year survival of patients with liver cancer is currently 10-20%. Moreover, because early diagnosis can significantly improve prognosis, which is highly correlated with tumor stage, early detection of HCC is critical. International guidelines advise using α-FP biomarker with/without ultrasonography for HCC surveillance in patients with advanced liver disease. However, traditional biomarkers are sub-optimal for risk stratification of HCC development in high-risk populations, early diagnosis, prognostication, and treatment response prediction. Since about 20% of HCCs do not produce α-FP due to its biological diversity, combining α-FP with novel biomarkers can enhance HCC detection sensitivity. There is a chance to offer promising cancer management methods in high-risk populations by utilizing HCC screening strategies derived from new tumor biomarkers and prognostic scores created by combining biomarkers with distinct clinical parameters. Despite numerous efforts to identify molecules as potential biomarkers, there is no single ideal marker in HCC. When combined with other clinical parameters, the detection of some biomarkers has higher sensitivity and specificity in comparison with a single biomarker. Therefore, newer biomarkers and models, such as the Lens culinaris agglutinin-reactive fraction of Alpha-fetoprotein (α-FP), α-FP-L3, Des-γ-carboxy-prothrombin (DCP or PIVKA-II), and the GALAD score, are being used more frequently in the diagnosis and prognosis of HCC. Notably, the GALAD algorithm was effective in HCC prevention, particularly for cirrhotic patients, regardless of the cause of their liver disease. Although the role of these biomarkers in surveillance is still being researched, they may provide a more practical alternative to traditional imaging-based surveillance. Finally, looking for new diagnostic/surveillance tools may help improve patients' survival. This review discusses the current roles of the most used biomarkers and prognostic scores that may aid in the clinical management of HCC patients.
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Affiliation(s)
- Endrit Shahini
- Gastroenterology Unit, National Institute of Gastroenterology-IRCCS “Saverio de Bellis”, Castellana Grotte, 70013 Bari, Italy
- Correspondence: ; Tel.: +39-0804994249
| | - Giuseppe Pasculli
- National Institute of Gastroenterology-IRCCS “Saverio de Bellis”, Castellana Grotte, 70013 Bari, Italy
| | - Antonio Giovanni Solimando
- Guido Baccelli Unit of Internal Medicine, Department of Precision and Regenerative Medicine and Ionian Area-(DiMePRe-J), University of Bari “A. Moro”, 70121 Bari, Italy
| | | | - Raffaele Cozzolongo
- Gastroenterology Unit, National Institute of Gastroenterology-IRCCS “Saverio de Bellis”, Castellana Grotte, 70013 Bari, Italy
| | - Gianluigi Giannelli
- Scientific Director, National Institute of Gastroenterology-IRCCS “Saverio de Bellis”, Castellana Grotte, 70013 Bari, Italy
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VOCs from Exhaled Breath for the Diagnosis of Hepatocellular Carcinoma. Diagnostics (Basel) 2023; 13:diagnostics13020257. [PMID: 36673067 PMCID: PMC9858163 DOI: 10.3390/diagnostics13020257] [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: 12/02/2022] [Revised: 12/30/2022] [Accepted: 01/02/2023] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND Volatile organic compound (VOC) profiles as biomarkers for hepatocellular carcinoma (HCC) are understudied. We aimed to identify VOCs from the exhaled breath for HCC diagnosis and compare the performance of VOCs to alpha-fetoprotein (AFP). The performance of VOCs for predicting treatment response and the association between VOCs level and survival of HCC patients were also determined. METHODS VOCs from 124 HCC patients and 219 controls were identified using the XGBoost algorithm. ROC analysis was used to determine VOCs performance in differentiating HCC patients from controls and in discriminating treatment responders from non-responders. The association between VOCs and the survival of HCC patients was analyzed using Cox proportional hazard analysis. RESULTS The combination of 9 VOCs yielded 70.0% sensitivity, 88.6% specificity, and 75.0% accuracy for HCC diagnosis. When differentiating early HCC from cirrhotic patients, acetone dimer had a significantly higher AUC than AFP, i.e., 0.775 vs. 0.714, respectively, p = 0.001. Acetone dimer classified HCC patients into treatment responders and non-responders, with 95.7% sensitivity, 73.3% specificity, and 86.8% accuracy. Isopropyl alcohol was independently associated with the survival of HCC patients, with an adjusted hazard ratio of 7.23 (95%CI: 1.36-38.54), p = 0.020. CONCLUSIONS Analysis of VOCs is a feasible noninvasive test for diagnosing and monitoring HCC treatment response.
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Shang B, Wang R, Qiao H, Zhao X, Wang L, Sui S. Multi-omics analysis of pyroptosis regulation patterns and characterization of tumor microenvironment in patients with hepatocellular carcinoma. PeerJ 2023; 11:e15340. [PMID: 37193028 PMCID: PMC10183172 DOI: 10.7717/peerj.15340] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Accepted: 04/12/2023] [Indexed: 05/18/2023] Open
Abstract
Background Hepatocellular carcinoma (HCC) is a primary malignant tumor of the liver, and pyroptosis has been identified as a novel cellular program that plays a role in numerous diseases including cancer. However, the functional role of pyroptosis in HCC remains unclear. The purpose of this study is to explore the relationship between the two found hub genes and provide targets for clinical treatment. Methods The Cancer Genome Atlas (TCGA) database was used to collect the gene data and clinically-related information of patients with HCC. After the differentially expressed genes (DEGs) were identified, they were intersected with the genes related to pyroptosis, and a risk prediction model was established to predict the overall survival (OS). Subsequently, drug sensitivity analysis, Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), Gene Set Enrichment Analysis (GSEA), and Gene Set Variation Analysis (GSVA) was used to analyze the biological characteristics of the DEGs. Different immune cell infiltration and related pathways were analyzed, and hub genes were identified by protein-protein interaction (PPI). Finally, the expression of hub genes was verified by real-time quantitative PCR (qRT-PCR) and immunohistochemistry. Results We conducted a comprehensive bioinformatics analysis to investigate the molecular mechanisms of pyroptosis in hepatocellular carcinoma (HCC). A total of 8,958 differentially expressed genes were identified, and 37 differentially expressed genes were associated with pyroptosis through intersection. Moreover, we developed an OS model with excellent predictive ability and discovered the differences in biological function, drug sensitivity, and immune microenvironment between high-risk and low-risk groups. Through enrichment analysis, we found that the differentially expressed genes are related to various biological processes. Then, 10 hub genes were identified from protein-protein interaction networks. Finally, midkine (MDK) was screened from the 10 hub genes and further verified by PCR and immunohistochemistry, which revealed its high expression in HCC. Conclusion We have developed a reliable and consistent predictive model based on the identification of potential hub genes, which can be used to accurately forecast the prognosis of patients, thus providing direction for further clinical research and treatment.
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Affiliation(s)
- Bingbing Shang
- Emergency Department, The Second Affiliated Hospital, Dalian Medical University, Dalian, China
| | - Ruohan Wang
- Emergency Department, The Second Affiliated Hospital, Dalian Medical University, Dalian, China
| | - Haiyan Qiao
- Research and Teaching Department of Comparative Medicine, Dalian Medical University, Dalian, China
| | - Xixi Zhao
- Emergency Department, The Second Affiliated Hospital, Dalian Medical University, Dalian, China
| | - Liang Wang
- Research and Teaching Department of Comparative Medicine, Dalian Medical University, Dalian, China
| | - Shaoguang Sui
- Emergency Department, The Second Affiliated Hospital, Dalian Medical University, Dalian, China
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10
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Association between serum midkine levels and tumor size in Indonesian hepatocellular carcinoma patients: a cross-sectional study. ROMANIAN JOURNAL OF INTERNAL MEDICINE 2022; 60:229-234. [DOI: 10.2478/rjim-2022-0014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Abstract
Background: The incidence of liver cancer is increased worldwide with 75%–85% are diagnosed as hepatocellular carcinoma (HCC). Current practice has low sensitivity limitations to diagnose the early stages of HCC, thus urging the need for a biomarker with higher sensitivity to detect HCC, specifically in the early stage. This study aimed to determine the association between Midkine levels and progressiveness of hepatocellular carcinoma (HCC), according to tumor size, Barcelona Clinic Liver Cancer (BCLC), and presence of portal venous thrombosis.
Methods: This cross-sectional study involved 100 patients in Adam Malik General Hospital diagnosed with HCC, collected with a consecutive sampling method, whose diagnosis were confirmed by findings of hypervascular on arterial phase imaging and portal vein or delayed phase washout triple-phase CT Scan. Samples are later categorized according to Barcelona Clinic Liver Cancer (BCLC) stages, tumor size, and presence of portal venous thrombosis. Blood samples were drawn to measure serum Midkine using ELISA. Kruskal-Wallis and Mann-Whitney U tests were conducted to determine the difference of Midkine levels based on tumor size, BCLC staging, and presence of portal venous thrombosis.
Results: Serum Midkine level shows a significant difference over tumor size (p=0.014), no significant difference found compared to BCLC stages and presence of portal venous thrombosis.
Conclusion: Serum Midkine levels are associated with the tumor size of HCC, thus helping physicians determine treatment plans.
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11
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Ye B, Shen Y, Chen H, Lin S, Mao W, Dong Y, Li X. Differential proteomic analysis of plasma-derived exosomes as diagnostic biomarkers for chronic HBV-related liver disease. Sci Rep 2022; 12:14428. [PMID: 36002595 PMCID: PMC9402575 DOI: 10.1038/s41598-022-13272-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2021] [Accepted: 05/23/2022] [Indexed: 11/25/2022] Open
Abstract
Hepatitis B virus (HBV) infection is still a major public health problem worldwide. We aimed to identify new, non-invasive biomarkers for the early diagnosis of chronic HBV-related diseases, reveal alterations in the progression of chronic hepatitis B (CHB), liver cirrhosis (LC), and hepatocellular carcinoma (HCC). Here, exosomes were isolated and characterized through size exclusion chromatography and nanoparticle tracking analysis. Profiles of differentially expressed proteins (DEPs) were analyzed through liquid chromatography-tandem mass spectrometry (LC–MS/MS), Gene Ontology, and Kyoto Encyclopedia of Genes and Genomes analyses. Results showed that the DEPs, including CO9, LBP, SVEP1, and VWF levels in extracellular vesicles (EVs) were significantly higher in CHB than in healthy controls (HCs). VWF expression levels in EVs were significantly lower in CHB than in those with LC. KV311 expression levels in EVs were significantly higher, whereas LBP levels were significantly lower in patients with CHB than in those with HCC. All biomarkers seemed to exhibit a high diagnostic capacity for HBV-related liver disease. Patients with HBV-induced chronic liver disease exhibit characteristic protein profiles in their EVs. Thus, serum exosomes may be used as novel, liquid biopsy biomarkers to provide useful clinical information for the diagnosis of HBV-related liver diseases at different stages.
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Affiliation(s)
- Bo Ye
- Department of Laboratory Medicine, Key Laboratory of Clinical In Vitro Diagnostic Techniques of Zhejiang Province, The First Affiliated Hospital, College of Medicine, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou, 310003, People's Republic of China
| | - Yifei Shen
- Department of Laboratory Medicine, Key Laboratory of Clinical In Vitro Diagnostic Techniques of Zhejiang Province, The First Affiliated Hospital, College of Medicine, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou, 310003, People's Republic of China
| | - Hui Chen
- Department of Laboratory Medicine, Key Laboratory of Clinical In Vitro Diagnostic Techniques of Zhejiang Province, The First Affiliated Hospital, College of Medicine, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou, 310003, People's Republic of China
| | - Sha Lin
- Department of Laboratory Medicine, Key Laboratory of Clinical In Vitro Diagnostic Techniques of Zhejiang Province, The First Affiliated Hospital, College of Medicine, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou, 310003, People's Republic of China
| | - Weilin Mao
- Department of Laboratory Medicine, Key Laboratory of Clinical In Vitro Diagnostic Techniques of Zhejiang Province, The First Affiliated Hospital, College of Medicine, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou, 310003, People's Republic of China
| | - Yuejiao Dong
- Department of Laboratory Medicine, Key Laboratory of Clinical In Vitro Diagnostic Techniques of Zhejiang Province, The First Affiliated Hospital, College of Medicine, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou, 310003, People's Republic of China
| | - Xuefen Li
- Department of Laboratory Medicine, Key Laboratory of Clinical In Vitro Diagnostic Techniques of Zhejiang Province, The First Affiliated Hospital, College of Medicine, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou, 310003, People's Republic of China.
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12
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Elgenidy A, Afifi AM, Awad AK, Jalal PK. Utility of serum angiopoietin-2 as diagnostic marker of hepatocellular carcinoma: A systematic review and diagnostic test accuracy meta-analysis. Clin Res Hepatol Gastroenterol 2022; 46:101909. [PMID: 35318139 DOI: 10.1016/j.clinre.2022.101909] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Revised: 03/12/2022] [Accepted: 03/16/2022] [Indexed: 02/04/2023]
Affiliation(s)
- Anas Elgenidy
- Faculty of medicine, Cairo University, Cairo, Egypt.
| | - Ahmed M Afifi
- Division of Gastroenterology, Baylor College of Medicine, Houston, TX, USA.
| | - Ahmed K Awad
- Faculty of medicine, Ain-Shams university, Cairo, Egypt
| | - Prasun K Jalal
- Department of Medicine, Baylor College of Medicine, Houston, TX 77030, USA.
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13
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Sukaram T, Tansawat R, Apiparakoon T, Tiyarattanachai T, Marukatat S, Rerknimitr R, Chaiteerakij R. Exhaled volatile organic compounds for diagnosis of hepatocellular carcinoma. Sci Rep 2022; 12:5326. [PMID: 35351916 PMCID: PMC8964758 DOI: 10.1038/s41598-022-08678-z] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Accepted: 03/03/2022] [Indexed: 12/19/2022] Open
Abstract
Volatile organic compounds (VOCs) profile for diagnosis and monitoring therapeutic response of hepatocellular carcinoma (HCC) has not been well studied. We determined VOCs profile in exhaled breath of 97 HCC patients and 111 controls using gas chromatography–mass spectrometry and Support Vector Machine algorithm. The combination of acetone, 1,4-pentadiene, methylene chloride, benzene, phenol and allyl methyl sulfide provided the highest accuracy of 79.6%, with 76.5% sensitivity and 82.7% specificity in the training set; and 55.4% accuracy, 44.0% sensitivity, and 75.0% specificity in the test set. This combination was correlated with the HCC stages demonstrating by the increased distance from the classification boundary when the stage advanced. For early HCC detection, d-limonene provided a 62.8% sensitivity, 51.8% specificity and 54.9% accuracy. The levels of acetone, butane and dimethyl sulfide were significantly altered after treatment. Patients with complete response had a greater decreased acetone level than those with remaining tumor post-treatment (73.38 ± 56.76 vs. 17.11 ± 58.86 (× 106 AU, p = 0.006). Using a cutoff of 35.9 × 106 AU, the reduction in acetone level predicted treatment response with 77.3% sensitivity, 83.3% specificity, 79.4%, accuracy, and AUC of 0.784. This study demonstrates the feasibility of exhaled VOCs as a non-invasive tool for diagnosis, monitoring of HCC progression and treatment response.
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Affiliation(s)
- Thanikan Sukaram
- Division of Gastroenterology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, and King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok, Thailand
| | - Rossarin Tansawat
- Department of Food and Pharmaceutical Chemistry, Faculty of Pharmaceutical Sciences, Chulalongkorn University, Bangkok, Thailand.,Center of Excellence for Innovation and Endoscopy in Gastrointestinal Oncology, Division of Gastroenterology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Terapap Apiparakoon
- Department of Computer Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, Thailand
| | | | - Sanparith Marukatat
- Image Processing and Understanding Team, Artificial Intelligence Research Group, National Electronics and Computer Technology Center (NECTEC), Bangkok, Thailand
| | - Rungsun Rerknimitr
- Division of Gastroenterology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, and King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok, Thailand.,Center of Excellence for Innovation and Endoscopy in Gastrointestinal Oncology, Division of Gastroenterology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Roongruedee Chaiteerakij
- Division of Gastroenterology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, and King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok, Thailand. .,Center of Excellence for Innovation and Endoscopy in Gastrointestinal Oncology, Division of Gastroenterology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
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14
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The Diagnostic Value of Contrast-Enhanced Ultrasound and Enhanced CT Combined with Tumor Markers AFP and CA199 in Liver Cancer. JOURNAL OF HEALTHCARE ENGINEERING 2022; 2022:5074571. [PMID: 35237392 PMCID: PMC8885265 DOI: 10.1155/2022/5074571] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Accepted: 01/05/2022] [Indexed: 11/29/2022]
Abstract
Background Early screening and diagnosis are of great significance to the treatment and prognosis of patients with liver cancer. This study aims to explore the application value of contrast-enhanced ultrasound and enhanced CT combined with tumor markers alpha-fetoprotein (AFP) and carbohydrate antigen 199 (CA199) in the diagnosis of liver cancer. Methods Liver cancer group (n = 256), benign disease group (n = 110), and control group (n = 50) participated in this study. The liver cancer and benign disease groups were diagnosed pathologically by contrast-enhanced ultrasound and enhanced CT before operation. The electrochemiluminescence method was used to detect the content of AFP and CA199. And the receiver operating characteristic (ROC) curve was drawn. Results The detection rate of contrast-enhanced ultrasound is higher than that of enhanced CT. Serum levels of AFP and CA199 in the liver cancer group were significantly higher than those in the benign lesion group and the control group. The ROC curve showed that the sensitivity, accuracy, and negative prediction rate of contrast-enhanced ultrasound and enhanced CT combined with tumor markers AFP and CA199 in the diagnosis of liver cancer were significantly higher than that of a single test. Conclusion The combined detection of contrast-enhanced ultrasound and enhanced CT, AFP, and CA199 significantly improved the sensitivity and accuracy of liver cancer diagnosis. It has a significant effect on the early diagnosis of liver cancer and can be used as an important means of early screening.
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15
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Bai H, Cheng Y, Che J. Pharmacokinetics and Disposition of Heparin-Binding Growth Factor Midkine Antisense Oligonucleotide Nanoliposomes in Experimental Animal Species and Prediction of Human Pharmacokinetics Using a Physiologically Based Pharmacokinetic Model. Front Pharmacol 2021; 12:769538. [PMID: 34803711 PMCID: PMC8595129 DOI: 10.3389/fphar.2021.769538] [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: 09/02/2021] [Accepted: 10/11/2021] [Indexed: 12/02/2022] Open
Abstract
Encapsulating the antisense oligonucleotide drug MK-ASODN with nanoliposomes greatly improved its potency and targeting to the heparin-binding growth factor midkine. The disposition and pharmacokinetic (PK) parameters of MK-ASODN nanoliposomes were studied in monkeys and rats, and the human PK parameters were predicted based on preclinical data using a physiologically based pharmacokinetic (PBPK) model. Following intravenous injection, the drug plasma concentration rapidly declined in a multiexponential manner, and the drug was rapidly transferred to tissues from the circulation. The terminal t1/2 in plasma was clearly longer than that of the unmodified antisense nucleic acid drug. According to the AUC,MK-ASODN nanoliposomes were mainly distributed in the kidney, spleen, and liver. . MK-ASODN nanoliposomes were highly plasma protein bound, limiting their urinary excretion. Very little MK-ASODN nanoliposomes were detected in urine or feces. The plasma disposition of MK-ASODN nanoliposomes appeared nonlinear over the studied dose range of 11.5–46 mg kg−1. The monkey PBPK model of MK-ASODN nanoliposomes was well established and successfully extrapolated to predict MK-ASODN nanoliposome PK in humans. These disposition and PK data support further development in phase I clinical studies.
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Affiliation(s)
- Haihong Bai
- Beijing Institute of Microbiology and Epidemiology, Beijing, China.,Phase I Clinical Trial Center, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Yuanguo Cheng
- Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Jinjing Che
- Beijing Institute of Microbiology and Epidemiology, Beijing, China.,Beijing Institution of Pharmacology and Toxicology, Beijing, China
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16
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Adeniji N, Dhanasekaran R. Current and Emerging Tools for Hepatocellular Carcinoma Surveillance. Hepatol Commun 2021; 5:1972-1986. [PMID: 34533885 PMCID: PMC8631096 DOI: 10.1002/hep4.1823] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2021] [Revised: 08/04/2021] [Accepted: 08/30/2021] [Indexed: 12/13/2022] Open
Abstract
Hepatocellular carcinoma (HCC) is a leading cause of cancer‐related mortality worldwide. Early detection of HCC enables patients to avail curative therapies that can improve patient survival. Current international guidelines advocate for the enrollment of patients at high risk for HCC, like those with cirrhosis, in surveillance programs that perform ultrasound every 6 months. In recent years, many studies have further characterized the utility of established screening strategies and have introduced new promising tools for HCC surveillance. In this review, we provide an overview of the most promising new imaging modalities and biomarkers for the detection of HCC. We discuss the role of imaging tools like ultrasound, computed tomography (CT), and magnetic resonance imaging (MRI) in the early detection of HCC, and describe recent innovations which can potentially enhance their applicability, including contrast enhanced ultrasound, low‐dose CT scans, and abbreviated MRI. Next, we outline the data supporting the use of three circulating biomarkers (i.e., alpha‐fetoprotein [AFP], AFP lens culinaris agglutinin‐reactive fraction, and des‐gamma‐carboxy prothrombin) in HCC surveillance, and expand on multiple emerging liquid biopsy biomarkers, including methylated cell‐free DNA (cfDNA), cfDNA mutations, extracellular vesicles, and circulating tumor cells. These promising new imaging modalities and biomarkers have the potential to improve early detection, and thus improve survival, in patients with HCC.
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Affiliation(s)
- Nia Adeniji
- Stanford School of Medicine, Stanford, CA, USA
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17
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Dik B, Coskun D, Er A. Protective Effect of Nerium Oleander Distillate and Tarantula Cubensis Alcoholic Extract on Cancer Biomarkers on Colon and Liver Tissues of Rats with Experimental Colon Cancer. Anticancer Agents Med Chem 2021; 22:1962-1969. [PMID: 34477527 DOI: 10.2174/1871520621666210903120253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2021] [Revised: 07/29/2021] [Accepted: 08/11/2021] [Indexed: 11/22/2022]
Abstract
BACKGROUND Colon cancers are among the three major cancer types that result in death. The research for effective treatment continues. OBJECTIVE The aim of this study is to determine the effects of Tarantula cubensis alcoholic extract (TCAE) and Nerium oleander (NO) distillate on the levels of midkine, TGF-β, VEGF, AFP, COX-2, IGF and caspase 3 in liver and colon tissues of experimentally induced colon cancer in rats. METHOD The liver and colon tissues of the rats were divided into Control, Colon Cancer (AZM), AZM+TCAE and AZM+NO groups and they were homogenized. The levels of midkine, TGF-β, VEGF, AFP, COX-2, IGF and caspase 3 in the colon and liver tissues were measured by ELISA kits. RESULTS All parameters levels of colon and liver tissues in the AZM group were generally higher (p<0.05) than the Control group. TCAE and NO prevented (p<0.05) the increases in midkine, TGF-β, VEGF, AFP, COX-2, IGF and caspase-3 levels in the colon. NO prevented increase of all parameters except for IGF level, while TCAE prevented (p<0.05) the increase of all values apart from COX-2 and IGF levels in the liver. CONCLUSION NO and TCAE may prevented at the specified marker levels of colon in the AZM induced colon cancer. The increases the level of parameters in the liver are not as severe as in the colon, due to the 18-week study period may not be sufficient for liver metastasis formationIn the future molecular studies should be done to determine the mechanisms and pathways of them more clearly.
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Affiliation(s)
- Burak Dik
- Selcuk University, Veterinary Faculty, Department of Pharmacology and Toxicology, Konya, Turkey
| | - Devran Coskun
- Siirt University, Veterinary Faculty, Department of Pharmacology and Toxicology, Siirt, Turkey
| | - Ayşe Er
- Selcuk University, Veterinary Faculty, Department of Pharmacology and Toxicology, Konya, Turkey
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18
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Zeng X, Tan C, Mo M, Qin X, Ma X, Huang K, Wang X, Liang W, Yang L. CircRNA profiling identifies circRNF180 as a tumor suppressor in hepatocellular carcinoma. Epigenomics 2021; 13:513-530. [PMID: 33683141 DOI: 10.2217/epi-2020-0385] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
Aim: To explore the expression profiles and functions of circRNAs in hepatocellular carcinoma (HCC). Materials & methods: We obtained circRNA expression profiles through RNA sequencing. Expression levels of circRNAs were confirmed by quantitative real-time PCR. The effects on HCC progression were determined using Cell Counting Kit 8, clone formation and transwell assays. Results: We identified 114 upregulated and 144 downregulated circRNAs in HCC tissues. The results of quantitative real-time PCR showed that circGNAO1, circRNF180 and circMERTK were significantly downregulated in HCC tissues, whereas circSNX6 was significantly upregulated. CircRNF180 was associated with microvascular invasion. Overexpression of circRNF180 inhibits the proliferation, colony formation, migration and invasion of HCC cells. Conclusion: CircRNF180 may function as a tumor suppressor and could serve as a potential biomarker and therapeutic target in HCC.
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Affiliation(s)
- Xi Zeng
- Department of Occupational & Environmental Health, School of Public Health, Guangxi Medical University, Nanning, PR China.,Department of Occupational & Environmental Health, School of Public Health, Guilin Medical University, Guilin, PR China
| | - Chao Tan
- Department of Epidemiology & Health Statistics, School of Public Health, Guangxi Medical University, Nanning, PR China.,Department of Epidemiology & Statistics, School of Public Health, Guilin Medical University, Guilin, PR China
| | - Meile Mo
- Department of Epidemiology & Health Statistics, School of Public Health, Guangxi Medical University, Nanning, PR China
| | - Xiaoling Qin
- Department of Biostatistics, School of Public Health & Management, Guangxi University of Chinese Medicine, Nanning, PR China
| | - Xiaoyun Ma
- Department of Epidemiology & Health Statistics, School of Public Health, Guangxi Medical University, Nanning, PR China
| | - Kaiyong Huang
- Department of Occupational & Environmental Health, School of Public Health, Guangxi Medical University, Nanning, PR China
| | - Xiaomin Wang
- Department of Epidemiology & Health Statistics, School of Public Health, Guangxi Medical University, Nanning, PR China
| | - Wenjie Liang
- Department of Social Medicine, School of Public Health, Guangxi Medical University, Nanning, PR China
| | - Li Yang
- Department of Occupational & Environmental Health, School of Public Health, Guangxi Medical University, Nanning, PR China
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19
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Gowhari Shabgah A, Ezzatifar F, Aravindhan S, Olegovna Zekiy A, Ahmadi M, Gheibihayat SM, Gholizadeh Navashenaq J. Shedding more light on the role of Midkine in hepatocellular carcinoma: New perspectives on diagnosis and therapy. IUBMB Life 2021; 73:659-669. [PMID: 33625758 DOI: 10.1002/iub.2458] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Revised: 01/06/2021] [Accepted: 02/02/2021] [Indexed: 12/14/2022]
Abstract
One of the most common malignant tumors is hepatocellular carcinoma (HCC). Progression of HCC mainly results from highly complex molecular and pathological pathways. Midkine (MDK) is a growth factor that impacts viability, migration, and other cell activities. Since MDK has been involved in the inflammatory responses, it has been claimed that MDK has a crucial role in HCC. MDK acts as an anti-apoptotic factor, which mediates tumor cell viability. In addition, MDK blocks anoikis to promote metastasis. There is also evidence that MDK is involved in angiogenesis. It has been shown that the application of anti-MDK approaches might be promising in the treatment of HCC. Besides, due to the elevated expression in HCC, MDK has been proposed as a biomarker in the prognosis and diagnosis of HCC. In this review, we will discuss the role of MDK in HCC. It is hoped that the development of new strategies concerning MDK-based therapies will be promising in HCC management.
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Affiliation(s)
- Arezoo Gowhari Shabgah
- School of Medicine, Bam University of Medical Sciences, Bam, Iran.,Student Research Committee, Bam University of Medical Sciences, Bam, Iran
| | - Fatemeh Ezzatifar
- Molecular and Cell Biology Research Center, Department of Immunology, School of Medicine, Mazandaran University of Medical Sciences, Sari, Iran.,Student Research Committee, Mazandaran University of Medical Sciences, Sari, Iran
| | - Surendar Aravindhan
- Department of Pharmacology, Saveetha Dental College and Hospital, Saveetha Institute of Medical and Technical Sciences, Chennai, India
| | - Angelina Olegovna Zekiy
- Department of Prosthetic Dentistry, Sechenov First Moscow State Medical University, Moscow, Russia
| | - Majid Ahmadi
- Stem Cell Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Seyed Mohammad Gheibihayat
- Department of Biotechnology, Faculty of Medicine, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
| | - Jamshid Gholizadeh Navashenaq
- Student Research Committee, Bam University of Medical Sciences, Bam, Iran.,Noncommunicable Diseases Research Center, Bam University of Medical Sciences, Bam, Iran
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20
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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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21
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Wang T, Zhang KH. New Blood Biomarkers for the Diagnosis of AFP-Negative Hepatocellular Carcinoma. Front Oncol 2020; 10:1316. [PMID: 32923383 PMCID: PMC7456927 DOI: 10.3389/fonc.2020.01316] [Citation(s) in RCA: 67] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2020] [Accepted: 06/24/2020] [Indexed: 12/18/2022] Open
Abstract
An early diagnosis of hepatocellular carcinoma (HCC) followed by effective treatment is currently critical for improving the prognosis and reducing the associated economic burden. Alpha-fetoprotein (AFP) is the most widely used biomarker for HCC diagnosis. Based on elevated serum AFP levels as well as typical imaging features, AFP-positive HCC (APHC) can be easily diagnosed, but AFP-negative HCC (ANHC) is not easily detected due to lack of ideal biomarkers and thus mainly reliance on imaging. Imaging for the diagnosis of ANHC is probably insufficient in sensitivity and/or specificity because most ANHC tumors are small and early-stage HCC, and it is involved in sophisticated techniques and high costs. Moreover, ANHC accounts for nearly half of HCC and exhibits a better prognosis compared with APHC. Therefore, the diagnosis of ANHC in clinical practice has been a critical issue for the early treatment and prognosis improvement of HCC. In recent years, tremendous efforts have been made to discover new biomarkers complementary to AFP for HCC diagnosis. In this review, we systematically review and discuss the recent advances of blood biomarkers for HCC diagnosis, including DNA biomarkers, RNA biomarkers, protein biomarkers, and conventional laboratory metrics, focusing on their diagnostic evaluation alone and in combination, in particular on their diagnostic performance for ANHC.
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Affiliation(s)
- Ting Wang
- Department of Gastroenterology, Jiangxi Institute of Gastroenterology & Hepatology, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Kun-He Zhang
- Department of Gastroenterology, Jiangxi Institute of Gastroenterology & Hepatology, The First Affiliated Hospital of Nanchang University, Nanchang, China
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22
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Zheng R, Zhu HL, Hu BR, Ruan XJ, Cai HJ. Identification of APEX2 as an oncogene in liver cancer. World J Clin Cases 2020; 8:2917-2929. [PMID: 32775374 PMCID: PMC7385600 DOI: 10.12998/wjcc.v8.i14.2917] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2020] [Revised: 05/27/2020] [Accepted: 06/12/2020] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND DNA damage is one of the critical contributors to the occurrence and development of some cancers. APEX1 and APEX2 are the most important molecules in the DNA damage, and APEX1 has been identified as a diagnostic and prognostic biomarker in liver hepatocellular carcinoma (LIHC). However, the expression of APEX2 and its functional mechanisms in LIHC are still unclear. AIM To examine the expression of APEX2 and the potential mechanism network in LIHC. METHODS We conducted a pan-cancer analysis of the expression of APEX1 and APEX2 using the interactive TIMER tool. GEO datasets, including GSE14520, GSE22058, and GSE64041, were used to compare the APEX2 expression level in tumor tissues and adjacent non-tumor tissues. Then, we calculated the 5-year survival rate according to the web-based Kaplan-Meier analysis. We included the TCGA liver cancer database in GSEA analysis based on the high and low APEX2 expression, showing the potential mechanisms of APEX2 in LIHC. After that, we conducted Pearson correlation analysis using GEPIA2. Next, we performed quantitative polymerase chain reaction (qPCR) assay to examine the APEX2 levels in normal liver cell line LO2 and several liver cancer cell lines, including HepG2, Huh7, SMMC7721, and HCCLM3. APEX2 in HCCLM3 cells was knocked down using small interfering RNA. The role of APEX2 in cell viability was confirmed using CCK-8. Dual-luciferase reporter assay was performed to examine the promoter activity of CCNB1 and MYC. RESULTS APEX1 and APEX2 are both highly expressed in the tumor tissues of BLCA, BRCA, CHOL, COAD, ESCA, HNSC, LIHC, LUAD, LUSC, READ, and STAD. APEX2 overexpression in LIHC was validated using GSE14520, GSE22058, and GSE64041 datasets. The survival analysis showed that LIHC patients with high expression of APEX2 had a lower overall survival rate, even in the AJCC T1 patients. High level of APEX2 could indicate a lower overall survival rate in patients with or without viral hepatitis. The GSEA analysis identified that kinetochore and spindle microtubules are the two main cellular components of APEX2 in GO Ontology. APEX2 was also positively associated with molecular function regulation of chromosome segregation and DNA replication. The results of KEGG analysis indicated that APEX2 expression was positively correlated with cell cycle pathway and pro-oncogenic MYC signaling. Pearson correlation analysis showed that APEX2 had a significant positive correlation with CCNB1 and MYC. APEX2 level was higher in liver cancer cell lines than in normal liver LO2 cells. Small interfering RNA could knock down the APEX2 expression in HCCLM3 cells. Knockdown of APEX2 resulted in a decrease in the viability of HCCLM3 cells as well as the expression and promoter activity of CCNB1 and MYC. CONCLUSION APEX2 is overexpressed in LIHC, and the higher APEX2 level is associated with a worse prognosis in overall survival. APEX2 is closely involved in the biological processes of chromosome segregation and DNA replication. APEX2 expression is positively correlated with the pro-oncogenic pathways. Knockdown of APEX2 could inhibit the cell viability and CCNB1 and MYC pathways, suggesting that APEX2 is an oncogene in LIHC, which could be a potential pharmaceutic target in the anti-tumor therapy.
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Affiliation(s)
- Ru Zheng
- Department of General Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, Zhejiang Province, China
| | - Heng-Liang Zhu
- Department of General Surgery, Shenzhen University General Hospital, Shenzhen 518107, Guangdong Province, China
| | - Bing-Ren Hu
- Department of General Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, Zhejiang Province, China
| | - Xiao-Jiao Ruan
- Department of General Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, Zhejiang Province, China
| | - Hua-Jie Cai
- Department of General Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, Zhejiang Province, China
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