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Che J, Zhao Y, Gu B, Li S, Li Y, Pan K, Sun T, Han X, Lv J, Zhang S, Fan B, Li C, Wang C, Wang J, Zhang T. Untargeted serum metabolomics reveals potential biomarkers and metabolic pathways associated with the progression of gastroesophageal cancer. BMC Cancer 2023; 23:1238. [PMID: 38102546 PMCID: PMC10724912 DOI: 10.1186/s12885-023-11744-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Accepted: 12/12/2023] [Indexed: 12/17/2023] Open
Abstract
BACKGROUND Previous metabolic studies in upper digestive cancer have mostly been limited to cross-sectional study designs, which hinders the ability to effectively predict outcomes in the early stage of cancer. This study aims to identify key metabolites and metabolic pathways associated with the multistage progression of epithelial cancer and to explore their predictive value for gastroesophageal cancer (GEC) formation and for the early screening of esophageal squamous cell carcinoma (ESCC). METHODS A case-cohort study within the 7-year prospective Esophageal Cancer Screening Cohort of Shandong Province included 77 GEC cases and 77 sub-cohort individuals. Untargeted metabolic analysis was performed in serum samples. Metabolites, with FDR q value < 0.05 and variable importance in projection (VIP) > 1, were selected as differential metabolites to predict GEC formation using Random Forest (RF) models. Subsequently, we evaluated the predictive performance of these differential metabolites for the early screening of ESCC. RESULTS We found a distinct metabolic profile alteration in GEC cases compared to the sub-cohort, and identified eight differential metabolites. Pathway analyses showed dysregulation in D-glutamine and D-glutamate metabolism, nitrogen metabolism, primary bile acid biosynthesis, and steroid hormone biosynthesis in GEC patients. A panel of eight differential metabolites showed good predictive performance for GEC formation, with an area under the receiver operating characteristic curve (AUC) of 0.893 (95% CI = 0.816-0.951). Furthermore, four of the GEC pathological progression-related metabolites were validated in the early screening of ESCC, with an AUC of 0.761 (95% CI = 0.716-0.805). CONCLUSIONS These findings indicated a panel of metabolites might be an alternative approach to predict GEC formation, and therefore have the potential to mitigate the risk of cancer progression at the early stage of GEC.
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Affiliation(s)
- Jiajing Che
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
- Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China
| | - Yongbin Zhao
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
- Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China
| | - Bingbing Gu
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
- Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China
| | - Shuting Li
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
- Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China
| | - Yunfei Li
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
- Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China
| | - Keyu Pan
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
- Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China
| | - Tiantian Sun
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
- Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China
| | - Xinyue Han
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
- Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China
| | - Jiali Lv
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
- Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China
| | - Shuai Zhang
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
- Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China
| | - Bingbing Fan
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
- Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China
| | - Chunxia Li
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
- Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China
| | - Cheng Wang
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China.
- Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China.
| | - Jialin Wang
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China.
- Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, 440 Jiyan Road, Jinan, 250117, China.
| | - Tao Zhang
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China.
- Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China.
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Xu Z, Wang XM, Cao P, Zhang C, Feng CM, Zheng L, Xu DX, Fu L, Zhao H. Serum IL-27 predicts the severity and prognosis in patients with community-acquired pneumonia: a prospective cohort study. Int J Med Sci 2022; 19:74-81. [PMID: 34975300 PMCID: PMC8692123 DOI: 10.7150/ijms.67028] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2021] [Accepted: 11/08/2021] [Indexed: 12/23/2022] Open
Abstract
Background: The previous studies have revealed that IL-27 was involved in the pathophysiology of pulmonary inflammatory diseases. However, the role of IL-27 in community-acquired pneumonia (CAP) was unclear. The goal of this research was to explore the associations of serum IL-27 with the severity and prognosis among CAP patients through a prospective cohort study. Methods: The whole of 239 healthy population and 239 CAP patients were enrolled. Fasting blood samples were collected. Inflammatory cytokines were detected using enzyme linked immunosorbent assay (ELISA). Demographic characteristics and clinical information were analyzed. Results: Serum IL-27 on admission was significantly risen in CAP patients compared with control subjects. Besides, serum IL-27 was gradually increased in line with CAP severity scores. Correlative analysis suggested that serum IL-27 was associated with blood routine indices, renal function, liver function, myocardial function and inflammatory cytokines. Linear and logistic regression analyses revealed that serum IL-27 was positively correlated with CAP severity scores. Logistic regression analysis demonstrated that serum higher IL-27 on admission elevated the risks of vasoactive agent usage and longer hospital stay during hospitalization among CAP patients. Conclusions: Serum IL-27 is markedly and positively associated with the severity and poor prognosis among CAP patients, indicating that IL-27 may involve in the pathophysiological process of CAP. Serum IL-27 may be used as a biomarker for diagnosis and prognosis in CAP patients.
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Affiliation(s)
- Zheng Xu
- Respiratory and Critical Care Medicine, Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, 230601, China
| | - Xin-Ming Wang
- Department of Pharmacy, First Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, 230022, China
| | - Peng Cao
- Respiratory and Critical Care Medicine, Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, 230601, China
| | - Chen Zhang
- Respiratory and Critical Care Medicine, Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, 230601, China
| | - Chun-Mei Feng
- Respiratory and Critical Care Medicine, Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, 230601, China
| | - Ling Zheng
- Respiratory and Critical Care Medicine, Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, 230601, China
| | - De-Xiang Xu
- Department of Toxicology, Anhui Medical University, Hefei, Anhui Province, 230032, China
| | - Lin Fu
- Respiratory and Critical Care Medicine, Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, 230601, China
| | - Hui Zhao
- Respiratory and Critical Care Medicine, Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, 230601, China
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Amini Kadijani A, Javadinia F, Mirzaei A, Khazaei koohpar Z, Balaii H, Baradaran Ghavami S, Gholamrezaei Z, Asadzadeh-Aghdaei H. Apoptosis markers of circulating leukocytes are associated with the clinical course of inflammatory bowel disease. Gastroenterol Hepatol Bed Bench 2018; 11:S53-S58. [PMID: 30774808 PMCID: PMC6347989] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
Abstract
AIM Here we aimed at evaluating whether the apoptosis status of circulating leukocytes of inflammatory bowel diseases (IBD) patients is attributed to the diseases clinical status. BACKGROUND Defects in the programmed cell death of inflammatory cells is known as to play a major role in the pathogenesis of IBD, and has been associated with the clinical efficacy of therapeutic agents. METHODS A total of 50 IBD patients, 25 with remission and 25 with flare-up phase of the disease, who their disease was confirmed by colonoscopy, were included in this cross-sectional study. Pro-apoptotic Bax and anti-apoptotic Bcl-2 mRNA expression, along with Bax/Bcl-2 ratio, as measures of apoptotic status, were assessed in the Peripheral blood mononuclear cell (PBMC) of the patients using semi-quantitative Real-time PCR method. RESULTS The mean Bax mRNA expression level was 0.54±0.12 in flare-up group and 0.53±0.13 in remission group (p=0.8). The mean Bcl-2 mRNA expression level was 0.63±0.13 in flare-up group and 0.55±0.12 in remission group (p=0.03). The mean Bax/Bcl-2 ratio was 0.88±0.17 in flare-up group and 1±21 in remission group (p=0.05). The mean Bax/Bcl-2 ratio was not statistically significant between different disease types (p=0.54) or therapeutic agents (p=0.7). CONCLUSION According to our results, alteration in markers of apoptosis could be traced in the circulating leukocytes of IBD patients, which suggest a potential for clinical application of apoptosis markers in disease monitoring and prediction of relapse.
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Affiliation(s)
- Azade Amini Kadijani
- Gastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Fariba Javadinia
- Basic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Alireza Mirzaei
- Bone and Joint Reconstruction Research Center, Shafa Orthopedic Hospital, Iran University of Medical Sciences, Tehran, Iran
| | - Zeinab Khazaei koohpar
- Assistant Professor, PhD in Cellular and Molecular Biology, Department of Cellular and Molecular Biology, Faculty of Biological Sciences, Tonekabon Branch, Islamic Azad University, Tonekabon, Iran
| | - Hedieh Balaii
- Basic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Shaghayegh Baradaran Ghavami
- Basic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Zahra Gholamrezaei
- Gastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Hamid Asadzadeh-Aghdaei
- Basic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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Camkurt MA, Güneş S, Coşkun S, Fındıklı E. Peripheral Signatures of Psychiatric Disorders: MicroRNAs. Clin Psychopharmacol Neurosci 2017; 15:313-319. [PMID: 29073742 PMCID: PMC5678491 DOI: 10.9758/cpn.2017.15.4.313] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/21/2016] [Revised: 04/11/2016] [Accepted: 04/13/2016] [Indexed: 12/21/2022]
Abstract
MicroRNAs (miRNAs) are 22 nucleotide long RNA transcripts, their synthesis starts in nucleus and continues in cytoplasm. As being critical for post-transcriptional regulators of gene expression they have been investigated in psychiatric disorders. There are numerous studies performed in peripheral tissues for psychiatric disorders. Here in this article, we aimed to review some common miRNAs denoted significant in at least two studies and their relevance to psychiatric research. We focused on miR-320, miR-106, miR-34, miR-223, miR-107, and miR-134.
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Affiliation(s)
- Mehmet Akif Camkurt
- Department of Psychiatry, Afşin State Hospital, Afşin, Kahramanmaraş, Turkey
| | - Serkan Güneş
- Department of Child and Adolescent Pscyhiatry, Faculty of Medicine, Mersin University, Mersin, Turkey
| | - Salih Coşkun
- Department of Medical Genetics, Faculty of Medicine, Dicle Univesity, Diyarbakır, Turkey
| | - Ebru Fındıklı
- Department of Psychiatry, Faculty of Medicine, Kahramanmaraş Sütçü İmam University, Kahramanmaraş, Turkey
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Yu X, Song L, Petritis B, Bian X, Wang H, Viloria J, Park J, Bui H, Li H, Wang J, Liu L, Yang L, Duan H, McMurray DN, Achkar JM, Magee M, Qiu J, LaBaer J. Multiplexed Nucleic Acid Programmable Protein Arrays. Theranostics 2017; 7:4057-4070. [PMID: 29109798 PMCID: PMC5667425 DOI: 10.7150/thno.20151] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2017] [Accepted: 08/03/2017] [Indexed: 12/13/2022] Open
Abstract
Rationale: Cell-free protein microarrays display naturally-folded proteins based on just-in-time in situ synthesis, and have made important contributions to basic and translational research. However, the risk of spot-to-spot cross-talk from protein diffusion during expression has limited the feature density of these arrays. Methods: In this work, we developed the Multiplexed Nucleic Acid Programmable Protein Array (M-NAPPA), which significantly increases the number of displayed proteins by multiplexing as many as five different gene plasmids within a printed spot. Results: Even when proteins of different sizes were displayed within the same feature, they were readily detected using protein-specific antibodies. Protein-protein interactions and serological antibody assays using human viral proteome microarrays demonstrated that comparable hits were detected by M-NAPPA and non-multiplexed NAPPA arrays. An ultra-high density proteome microarray displaying > 16k proteins on a single microscope slide was produced by combining M-NAPPA with a photolithography-based silicon nano-well platform. Finally, four new tuberculosis-related antigens in guinea pigs vaccinated with Bacillus Calmette-Guerin (BCG) were identified with M-NAPPA and validated with ELISA. Conclusion: All data demonstrate that multiplexing features on a protein microarray offer a cost-effective fabrication approach and have the potential to facilitate high throughput translational research.
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Affiliation(s)
- Xiaobo Yu
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (PHOENIX Center, Beijing), Beijing Institute of Radiation Medicine, Beijing, 102206, China
| | - Lusheng Song
- The Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ 85287, USA
| | - Brianne Petritis
- The Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ 85287, USA
| | - Xiaofang Bian
- The Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ 85287, USA
| | - Haoyu Wang
- The Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ 85287, USA
| | - Jennifer Viloria
- The Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ 85287, USA
| | - Jin Park
- The Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ 85287, USA
| | - Hoang Bui
- The Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ 85287, USA
| | - Han Li
- The Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ 85287, USA
| | - Jie Wang
- The Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ 85287, USA
| | - Lei Liu
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (PHOENIX Center, Beijing), Beijing Institute of Radiation Medicine, Beijing, 102206, China
| | - Liuhui Yang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (PHOENIX Center, Beijing), Beijing Institute of Radiation Medicine, Beijing, 102206, China
| | - Hu Duan
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (PHOENIX Center, Beijing), Beijing Institute of Radiation Medicine, Beijing, 102206, China
| | - David N. McMurray
- Department of Microbial Pathogenesis and Immunology, College of Medicine, Texas A&M Health Science Center, College Station, TX 77843, USA
| | - Jacqueline M. Achkar
- Department of Medicine, Albert Einstein College of Medicine, NY 10461, USA; Department of Microbiology and Immunology, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Mitch Magee
- The Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ 85287, USA
| | - Ji Qiu
- The Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ 85287, USA
| | - Joshua LaBaer
- The Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ 85287, USA
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Demirkol S, Gomceli I, Isbilen M, Dayanc BE, Tez M, Bostanci EB, Turhan N, Akoglu M, Ozyerli E, Durdu S, Konu O, Nissan A, Gonen M, Gure AO. A Combined ULBP2 and SEMA5A Expression Signature as a Prognostic and Predictive Biomarker for Colon Cancer. J Cancer 2017; 8:1113-1122. [PMID: 28607584 PMCID: PMC5463424 DOI: 10.7150/jca.17872] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2016] [Accepted: 03/05/2017] [Indexed: 01/08/2023] Open
Abstract
Background: Prognostic biomarkers for cancer have the power to change the course of disease if they add value beyond known prognostic factors, if they can help shape treatment protocols, and if they are reliable. The aim of this study was to identify such biomarkers for colon cancer and to understand the molecular mechanisms leading to prognostic stratifications based on these biomarkers. Methods and Findings: We used an in house R based script (SSAT) for the in silico discovery of stage-independent prognostic biomarkers using two cohorts, GSE17536 and GSE17537, that include 177 and 55 colon cancer patients, respectively. This identified 2 genes, ULBP2 and SEMA5A, which when used jointly, could distinguish patients with distinct prognosis. We validated our findings using a third cohort of 48 patients ex vivo. We find that in all cohorts, a combined ULBP2/SEMA5A classification (SU-GIB) can stratify distinct prognostic sub-groups with hazard ratios that range from 2.4 to 4.5 (p≤0.01) when overall- or cancer-specific survival is used as an end-measure, independent of confounding prognostic parameters. In addition, our preliminary analyses suggest SU-GIB is comparable to Oncotype DX colon(®) in predicting recurrence in two different cohorts (HR: 1.5-2; p≤0.02). SU-GIB has potential as a companion diagnostic for several drugs including the PI3K/mTOR inhibitor BEZ235, which are suitable for the treatment of patients within the bad prognosis group. We show that tumors from patients with worse prognosis have low EGFR autophosphorylation rates, but high caspase 7 activity, and show upregulation of pro-inflammatory cytokines that relate to a relatively mesenchymal phenotype. Conclusions: We describe two novel genes that can be used to prognosticate colon cancer and suggest approaches by which such tumors can be treated. We also describe molecular characteristics of tumors stratified by the SU-GIB signature.
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Affiliation(s)
- Secil Demirkol
- Department of Molecular Biology and Genetics, Bilkent University, Cankaya, Ankara, Turkey
| | - Ismail Gomceli
- Department of Gastroenterological Surgery, Antalya Education and Research Hospital, Antalya, Turkey
| | - Murat Isbilen
- Department of Molecular Biology and Genetics, Bilkent University, Cankaya, Ankara, Turkey
| | | | - Mesut Tez
- Fifth Department of Surgery, Ankara Numune Training and Research Hospital, Ankara, Turkey
| | - Erdal Birol Bostanci
- Department of Gastroenterological Surgery, Yuksek Ihtisas Training and Research Hospital, Ankara, Turkey
| | - Nesrin Turhan
- Department of General and Oncological Surgery - Surgery C, The Chaim Sheba Medical Center, Tel Hashomer, Israel
| | - Musa Akoglu
- Department of Gastroenterological Surgery, Yuksek Ihtisas Training and Research Hospital, Ankara, Turkey
| | - Ezgi Ozyerli
- Department of Molecular Biology and Genetics, Bilkent University, Cankaya, Ankara, Turkey
| | - Sevi Durdu
- Department of Molecular Biology and Genetics, Bilkent University, Cankaya, Ankara, Turkey
| | - Ozlen Konu
- Department of Molecular Biology and Genetics, Bilkent University, Cankaya, Ankara, Turkey
| | - Aviram Nissan
- Department of General and Oncological Surgery - Surgery C, The Chaim Sheba Medical Center, Tel Hashomer, Israel
| | - Mithat Gonen
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ali Osmay Gure
- Department of Molecular Biology and Genetics, Bilkent University, Cankaya, Ankara, Turkey
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Pu W, Geng X, Chen S, Tan L, Tan Y, Wang A, Lu Z, Guo S, Chen X, Wang J. Aberrant methylation of CDH13 can be a diagnostic biomarker for lung adenocarcinoma. J Cancer 2016; 7:2280-2289. [PMID: 27994665 PMCID: PMC5166538 DOI: 10.7150/jca.15758] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2016] [Accepted: 09/18/2016] [Indexed: 01/10/2023] Open
Abstract
Background: Aberrant methylation of CpG islands in tumor cells in promoter regions is a critical event in non-small cell lung carcinoma (NSCLC) tumorigenesis and can be a potential diagnostic biomarker for NSCLC patients. The present study systemically and quantitatively reviewed the diagnostic ability of CDH13 methylation in NSCLC as well as in its subsets. Eligible studies were identified through searching PubMed, Web of Science, Cochrane Library and Embase. The pooled odds of CDH13 promoter methylation in lung cancer tissues versus normal controls were calculated by meta-analysis method. Simultaneously, four independent DNA methylation datasets of NSCLC from TCGA and GEO database were downloaded and analyzed to validate the results from meta-analysis. Results: Thirteen studies, including 1850 samples were included in this meta-analysis. The pooled odds ratio of CDH13 promoter methylation in cancer tissues was 7.41 (95% CI: 5.34 to 10.29, P < 0.00001) compared with that in controls under fixed-effect model. In validation stage, 126 paired samples from TCGA were analyzed and 5 out of the 6 CpG sites in the CpG island of CDH13 were significantly hypermethylated in lung adenocarcinoma tissues but none of the 6 CpG sites was hypermethylated in squamous cell carcinoma tissues. Concordantly, the results from other three datasets, which were subsequently obtained from GEO database consisting of 568 tumors and 256 normal tissues, also consisted with those from TCGA dataset. Conclusion: The pooled data showed that the methylation status of the CDH13 promoter is strongly associated with lung adenocarcinoma. The CDH13 methylation status could be a promising diagnostic biomarker for diagnosis of lung adenocarcinoma.
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Affiliation(s)
- Weilin Pu
- State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai 200433, China
| | - Xin Geng
- Department of Cardiothoracic Surgery, Huashan Hospital, Fudan University, Shanghai 200032, China
| | - Sidi Chen
- State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai 200433, China
| | - Lixing Tan
- State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai 200433, China
| | - Yulong Tan
- Department of Cardiothoracic Surgery, Huashan Hospital, Fudan University, Shanghai 200032, China
| | - An Wang
- Department of Chest Surgery, Shanghai Pulmonary Hospital, Shanghai 200433, China
| | - Zhouyi Lu
- Department of Chest Surgery, Shanghai Pulmonary Hospital, Shanghai 200433, China
| | - Shicheng Guo
- Department of Bioengineering, University of California at San Diego, 9500 Gilman Drive, MC0412, La Jolla, CA 92093-0412
| | - Xiaofeng Chen
- Department of Cardiothoracic Surgery, Huashan Hospital, Fudan University, Shanghai 200032, China
| | - Jiucun Wang
- State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai 200433, China
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Chen B, Dai D, Tang H, Chen X, Ai X, Huang X, Wei W, Xie X. Pre-treatment serum alkaline phosphatase and lactate dehydrogenase as prognostic factors in triple negative breast cancer. J Cancer 2016; 7:2309-2316. [PMID: 27994669 PMCID: PMC5166542 DOI: 10.7150/jca.16622] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2016] [Accepted: 09/17/2016] [Indexed: 02/07/2023] Open
Abstract
Background: Serum parameters as prognostic parameters are studied widely. We aim to examine the prognostic significance of the serum alkaline phosphatase (ALP) level and lactate dehydrogenase (LDH) level in triple negative breast cancer (TNBC). Methods: Total of 253 TNBC patients from Sun Yat-sen University Cancer Center who underwent treatment between January 2004 and December 2009 was conducted in this retrospective study. Before treatment serum ALP and LDH levels were routinely measured. We use the receiver operating characteristic (ROC) curve analysis to estimate the cutoff value of serum ALP and LDH levels. The Kaplan-Meier method and multivariable Cox regression analysis were used for Disease free survival (DFS) and overall survival (OS) assessed. Results: The ROC curves determined that the optimum cutoff point for ALP and LDH were 66.5u/L and 160.5u/L, respectively. The elevated ALP and LDH were both significantly associated with decreased DFS and OS (both P < 0.001). In addition, the entire cohort was stratified into three subgroups basis of ALP levels and LDH levels. TNBC Patients who with ALP >66.5 u/L and LDH >160.5u/L had the worst DFS and OS (both P < 0.001). In TNBC patients, univariate and multivariate Cox regression analyses conformed ALP and LDH were independent unfavorable prognostic factors for DFS and OS. Conclusions: The serum levels of ALP and LDH before treatment are independent prognostic parameters and may serve as complement to help predict survival in TNBC.
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Affiliation(s)
- Bo Chen
- Department of Breast Oncology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Danian Dai
- Department of Breast Oncology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Hailin Tang
- Department of Breast Oncology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Xi Chen
- Department of Anatomy, Medical College, University of South China, Hengyang, Hunan Province, China
| | - Xiaohong Ai
- Department of Radiotherapy, The First Affiliated Hospital, University of South China, Hengyang, Hunan Province, China
| | - Xiaojia Huang
- Department of Breast Oncology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Weidong Wei
- Department of Breast Oncology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Xiaoming Xie
- Department of Breast Oncology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
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Liu Z, Yu Y, Li X, Wu A, Mu M, Li N, Deng Y, Jin X, Li S, Lin Y, Chen X, Wang F, Zhu J. Maternal lead exposure and risk of congenital heart defects occurrence in offspring. Reprod Toxicol 2014; 51:1-6. [PMID: 25462788 DOI: 10.1016/j.reprotox.2014.11.002] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2014] [Revised: 10/29/2014] [Accepted: 11/04/2014] [Indexed: 11/28/2022]
Abstract
Maternal lead exposure may be harmful to fetal development. However, sufficient evidence was lacked about the risk on cardiac development in offspring. To explore the association between maternal lead exposure and risks of congenital heart defects (CHDs) occurrence in fetuses, a case-control study was adopted during pregnant women making antenatal examinations. The maternal hair lead levels were measured by using inductively coupled plasma mass spectrometry (ICP-MS), and logistic regression analysis was used to calculate the odds ratio (OR). Three hundred and sixteen cases and 348 controls were eligible to the study. The median level of lead in maternal hair of case (0.670ng/mg) was significantly higher (AOR 3.07, 95% CI 2.00-4.72) than that of the control (0.461ng/mg), including the CHD cases with or without extracardiac malformations (AOR 3.55, 2.94, respectively). Maternal lead exposure is associated with the risk of some subtypes of CHDs occurrence in offspring. The potential dose-response relationship is also presented.
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Affiliation(s)
- Zhen Liu
- National Centre for Birth Defects Monitoring, West China Second University Hospital, Sichuan University, Chengdu 610041, China; Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects, Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu 610041, China
| | - Yu Yu
- Department of Nutrition, Research Center for Nutrition and Health, Institute of Nutrition and Food Safety, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, School of Public Health, Zhejiang University, Hangzhou 310058, China; Key Laboratory of Food Safety Research, Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Xiaohong Li
- National Centre for Birth Defects Monitoring, West China Second University Hospital, Sichuan University, Chengdu 610041, China
| | - Aimin Wu
- Department of Nutrition, Research Center for Nutrition and Health, Institute of Nutrition and Food Safety, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, School of Public Health, Zhejiang University, Hangzhou 310058, China
| | - Mingdao Mu
- Department of Nutrition, Research Center for Nutrition and Health, Institute of Nutrition and Food Safety, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, School of Public Health, Zhejiang University, Hangzhou 310058, China
| | - Nana Li
- Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects, Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu 610041, China
| | - Ying Deng
- Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects, Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu 610041, China
| | - Xi Jin
- Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects, Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu 610041, China
| | - Shengli Li
- Department of Ultrasound, Shenzhen Maternity & Child Healthcare Hospital, Affiliated to Southern Medical University, Shenzhen 518028, China
| | - Yuan Lin
- Department of Obstetrics and Gynecology, Fujian provincial Maternal and Child Healthcare Hospital, Fuzhou 350005, China
| | - Xinlin Chen
- Department of Ultrasound, Hubei provincial Maternal and Child Healthcare Hospital, Wuhan 430071, China
| | - Fudi Wang
- Department of Nutrition, Research Center for Nutrition and Health, Institute of Nutrition and Food Safety, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, School of Public Health, Zhejiang University, Hangzhou 310058, China.
| | - Jun Zhu
- National Centre for Birth Defects Monitoring, West China Second University Hospital, Sichuan University, Chengdu 610041, China; Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects, Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu 610041, China.
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10
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Zhang H, Yang H, Zhang C, Jing Y, Wang C, Liu C, Zhang R, Wang J, Zhang J, Zen K, Zhang C, Li D. Investigation of microRNA expression in human serum during the aging process. J Gerontol A Biol Sci Med Sci 2014; 70:102-9. [PMID: 25165030 DOI: 10.1093/gerona/glu145] [Citation(s) in RCA: 89] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Although serum microRNAs (miRNAs) play essential roles in the diagnosis of various diseases, little is known about circulating miRNAs in the aging process. METHODS Solexa sequencing technology was used for an initial miRNA screening of serum samples pooled from 21 healthy Chinese subjects with an average age of 22 years, 10 subjects with an average age of 40 years, 10 subjects with an average age of 59 years, and 9 subjects with an average age of 70 years. Other serum samples were obtained from 123 normal people with approximately 31 samples in each age period. A stem-loop quantitative reverse transcription-PCR assay was conducted to confirm the concentrations of the miRNAs altered in the aging process. RESULTS Solexa sequencing demonstrated 10 markedly altered miRNAs in the aging process. Quantitative reverse transcription-PCR analysis identified five downregulated miRNAs (miR-29b, miR-106b, miR-130b, miR-142-5p, and miR-340) and three upregulated miRNAs (miR-92a, miR-222, and miR-375) with age. Their target genes, related diseases, molecular and cellular functions, and participated pathways were further analyzed. CONCLUSIONS The measurement of miRNAs in serum provides a novel, noninvasive approach for the identification of the aging process. Our bioinformatic analyses could form a useful knowledge base for the potential future development of novel therapeutic treatments.
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Affiliation(s)
- Haiyang Zhang
- Jiangsu Engineering Research Center for microRNA Biology and Biotechnology, State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences and
| | - Hao Yang
- Jiangsu Engineering Research Center for microRNA Biology and Biotechnology, State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences and
| | - Chunni Zhang
- Department of Clinical Laboratory, Jinling Hospital, Clinical School of Medical College, Nanjing University, China
| | - Ying Jing
- Jiangsu Engineering Research Center for microRNA Biology and Biotechnology, State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences and
| | - Cheng Wang
- Jiangsu Engineering Research Center for microRNA Biology and Biotechnology, State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences and
| | - Chang Liu
- Jiangsu Engineering Research Center for microRNA Biology and Biotechnology, State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences and
| | - Rui Zhang
- Jiangsu Engineering Research Center for microRNA Biology and Biotechnology, State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences and
| | - Jin Wang
- Jiangsu Engineering Research Center for microRNA Biology and Biotechnology, State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences and
| | - Junfeng Zhang
- Jiangsu Engineering Research Center for microRNA Biology and Biotechnology, State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences and
| | - Ke Zen
- Jiangsu Engineering Research Center for microRNA Biology and Biotechnology, State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences and
| | - Chenyu Zhang
- Jiangsu Engineering Research Center for microRNA Biology and Biotechnology, State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences and
| | - Donghai Li
- Jiangsu Engineering Research Center for microRNA Biology and Biotechnology, State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences and
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11
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Zhang H, Song YC, Dang CX. Detection of hypermethylated spastic paraplegia-20 in stool samples of patients with colorectal cancer. Int J Med Sci 2013; 10:230-4. [PMID: 23372428 PMCID: PMC3558710 DOI: 10.7150/ijms.5278] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2012] [Accepted: 01/07/2013] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Analysis of aberrant hypermethylation in stool DNA might provide a novel strategy for noninvasive detection of colorectal cancer. AIMS To explore the feasibility of detecting hypermethylation in Spastic paraplegia-20 promoter as a stool-based DNA marker for detection of colorectal cancer. METHODS We collected 96 tissue and stool samples from patients with colorectal cancer and 30 stool samples healthy individuals. RESULTS Hypermethylated Spastic paraplegia-20 occurs in 85.4% (82/96) of patients with colorectal cancer in the tissue samples. In the stool samples, the results indicate 80.2% (77/96) sensitivity and 100% (30/30) specificity of the test for detecting colorectal cancer by using the stool samples as a noninvasive method. CONCLUSIONS The study reveals that hypermethylation in Spastic paraplegia-20 promoter is a highly specific and sensitive biomarker for screening colorectal cancer in stool samples as a noninvasive method.
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Affiliation(s)
- Hao Zhang
- Department of Surgical Oncology the First Affiliated Hospital, Xi'an Jiaotong University College of Medicine, Xi'an, Shaanxi 710061, China
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