BMC CANCER
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2018
·Vol. 18
·期 1
·1-11
·
IF 3.288
Liu Hai-Ning,Wu Hao,Tseng Yu-Jen,Chen Yan-Jie,Zhang Dan-Ying,Zhu Lin,Dong Ling,Shen Xi-Zhong,Liu Tao-Tao
Background Many novel diagnostic biomarkers have been developed for gastric cancer (GC) recently. We chose two methods with high diagnostic value, the detection of serum microRNAs and metabolomics based on gas chromatography/mass spectrometry (GC/MS), and aimed to establish appropriate models.Methods We reviewed the diagnostic accuracies of all microRNAs identified by previous diagnostic tests. Then appropriate microRNAs and their combinations were validated the diagnostic value. We included 80 patients with GC and 82 healthy controls (HCs) and detected the expression of the microRNAs. GC/MS analysis was conducted, and we used three multivariate statistical analyses to establish diagnostic models. The concentrations of carcinoembryonic antigen (CEA) and carbohydrate antigen 19–9 (CA19–9) were detected for comparison with the novel models.Results Sixty-seven published studies and 70 microRNAs were finally included in the systematic review. MiR-18a, miR-19a, miR-21, miR-92a, miR-199a and miR-421 were chosen to further validate their diagnostic efficiencies. Five of those microRNAs in GC patients had significantly different expression. The combination of miR-19a and miR-92a had the highest area under the curve (AUC) at 0.850 with a sensitivity of 91.3% and a specificity of 61.0%. The GC/MS analysis performed an excellent diagnostic value and the AUC reached 1.0.Conclusion There is a good potential for microRNAs and GC/MS analysis as new diagnostic methods in view of their high diagnostic value compared with traditional biomarkers.
研究领域:
肿瘤学
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分子生物学
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医学
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产品关联
DOI
PubMed
高影响因子
CANCER SCIENCE
·
2018
·Vol. 109
·期 4
·1185-1194
·
IF 4.372
Hai-Ning Liu,Tao-Tao Liu,Hao Wu,Yan-Jie Chen,Yu-Jen Tseng,Can Yao,Shu-Qiang Weng,Ling Dong,Xi-Zhong Shen
Recently, many new diagnostic biomarkers have been developed for colorectal cancer. We chose 2 methods with high diagnostic efficiency, the detection of serum microRNA and metabolomics based on gas chromatography/mass spectrometry (GC/MS), and aimed to establish appropriate models. We reviewed the diagnostic value of all microRNA identified by previous diagnostic tests. We selected appropriate microRNA to validate their diagnostic efficiency, and determined the optimal combination. We included 85 patients with colorectal cancer (CRC) and 78 healthy controls (HC) and detected the expression of the microRNA. GC/MS analysis was conducted, and we used 3 multivariate statistical methods to establish diagnostic models. The concentrations of carcinoembryonic antigen (CEA) and carbohydrate antigen 19-9 (CA19-9) were detected for comparison with the novel models. Ultimately, 62 published studies and 63 microRNA were included in this review. MiR-21, miR-29a, miR-92a, miR-125b and miR-223 were selected to further validate their diagnostic value. The serum levels of the 5 microRNA in CRC patients were significantly higher than those in the HC. The combination of miR-21, miR-29a, miR-92a and miR-125b had the highest area under the curve (AUC) at 0.952, with a sensitivity of 84.7% and a specificity of 98.7%. The GC/MS analysis exhibited an excellent diagnostic value and the AUC reached 1.0. With regard to traditional biomarkers, the AUC of CEA and CA19-9 were 0.808 and 0.705, respectively. The application prospects are good for microRNA and metabolomics as new diagnostic methods because of their high diagnostic value compared with traditional biomarkers.
研究领域:
医学
·
分子生物学
✓ 已验证
产品关联
DOI
PubMed
高影响因子
Oncotarget
·
2017
·
IF 5.168
Hai-Ning Liu,Hao Wu,Yan-Jie Chen,Yu-Jen Tseng,Enkhnaran Bilegsaikhan,Ling Dong,Xi-Zhong Shen,Tao-Tao Liu
Background Many new diagnostic biomarkers have been developed for hepatocellular carcinoma (HCC). We selected two methods with high diagnostic value, the detection of serum microRNAs and metabolomics based on gas chromatography/mass spectrometry (GC/MS), and attempted to establish appropriate models. Methods We reviewed the diagnostic efficiencies of all microRNAs identified by previous diagnostic tests. Then we chose appropriate microRNAs to validate the diagnostic efficiencies, and determined the optimal combination. We included 66 patients with HCC and 82 healthy controls (HCs) and detected the expression of the microRNAs. GC/MS analysis was performed, and we used three multivariate statistical methods to establish diagnostic models. The concentration of alpha feto-protein (AFP) was determined for comparison with the novel models. Results 82 published studies and 92 microRNAs were ultimately included in this systematic review. Seven microRNAs were selected for further validation of their diagnostic efficiencies. Among which, miR-21, miR-106b, miR-125b, miR-182 and miR-224 had a significantly different expression in HCC patients. The combination of miR-21, miR-106b and miR-224 had the highest area under the curve (AUC) at 0.950 with a sensitivity of 80.3% and a specificity of 92.7%. The GC/MS analysis exhibited an excellent diagnostic value and the AUC reached 1.0. In comparison, the AUC of the traditional biomarker, AFP, was 0.755. Conclusion MicroRNAs and metabolomics shows promising potential as new diagnostic methods due to their high diagnostic value compared with traditional biomarkers.
研究领域:
肿瘤学
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分子生物学
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代谢组学
✓ 已验证
产品关联
DOI
PubMed
高影响因子
JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS
·
2020
·
IF 3.209
Mingjie Deng,Feiyan Lin,Caiping Zhou,Yuyan Chen,Leijie Xuan,Hongzhe Wang,Tiantian Feng,Lufeng Hu
Amino acids (AAs) are abundant in seminal fluid and play an important role in the reproduction process. However, the functional significance of AAs in seminal is not clear. This study was designed to profile the AAs in seminal fluid of asthenozoospermia (AS) and oligospermia (OL) patients and evaluate its potential diagnostic value. To determine the true function of AAs in seminal fluid, an ultra high performance liquid chromatography-mass spectrometry (UPLC-MS/MS) was developed and validated. The seminal fluid samples collected from 76 AS patients, 58 OL patients, and 76 healthy subjects were determined by UPLC-MS/MS and analyzed by fisher discriminant and receiver operating characteristic (ROC). The results showed that, the AAs levels were dramatically decreased in AS and OL patients compared with healthy subjects. What’s more there were significant variation in the AAs profile of AS and OL patients. Specifically, some polar AAs decreased, while nonpolar AAs increased in OL patients. Based on the level of AAs, 93.4 % of original and 90.9 % of cross-validated grouped cases were correctly classified between AS patients, OL patients, and healthy subjects. The further ROC analysis shows that glutamic acid, tyrosine, aspartic acid, proline, and tryptophan have the diagnostic value (P < 0.01) in the three groups. Moreover, aspartic acid and glutamic acid exhibit a high correlation (Correlation Coefficient >0.9) in AS, OL, and healthy subjects. In conclusion, there are significant variation in AAs profile in seminal plasma of AS and OL patients with high accuracy in fisher classification. The associations between the levels of AAs in seminal fluid of AS, OL, and healthy subjects may have clinical applications in providing valuable diagnostic indicator.
研究领域:
生殖医学
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代谢组学
✓ 已验证
产品关联
DOI
PubMed
高影响因子
OncoTargets and Therapy
·
2022
·
IF 4.345
Ping Chen,Xiaoyong Zhao,Hui Wang,Mengdan Zheng,Qinghua Wang,Wenjuan Chang
Purpose LncRNAs are important regulators in cancers. In this study, we investigated the role of lncRNA PCAT18 in gastric cancer (GC).Patients and Methods The level of PCAT18 in GC tissues and cells was determined by qRT-PCR. The cellular behaviors of GC cells with knockdown or overexpression of PCAT18 were respectively detected by CCK-8 assays, colony formation assays, flow cytometry and Western blot. A GC mice model was established by subcutaneous injection of MGC-803 and HGC-27 cells with the knockdown or overexpression of PCAT18. The tumor size and weight were measured, and IHC was performed to determine ki-67 level. Predicted by bioinformatics software and confirmed by dual-luciferase reporter assay, PCAT18 was involved in miR-107/PTEN axis, thus, the expression of and relationship among PCAT18, miR-107 and PTEN pathway were explored in clinical cases and GC cell lines. Rescue assay was performed in GC cells by co-transfection with miR-107 mimic or PCAT18. The PTEN/PI3K/AKT pathway was then detected by Western blot.Results PCAT18 was down-regulated in GC tissues and cells, and it had a significant diagnostic value for GC. The expression of PCAT18 was highly associated with tumor size, and PCAT18 was found to inhibit GC growth in vitro and in vivo. It was also found that PCAT18 was involved in PTEN/PI3K/AKT signaling pathway through targeting miR-107.Conclusion PCAT18 inhibits the progression of GC via miR-107/PTEN/PI3K/AKT signaling pathway. Additionally, PCAT18 is possibly a promising target for treatment of GC.
研究领域:
肿瘤学
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分子生物学
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癌症研究
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细胞生物学
✓ 已验证
产品关联
DOI
PubMed
高影响因子
危险品化学品经营许可证（带存储）