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Serum microRNA signatures and metabolomics have high diagnostic value in colorectal cancer using two novel methods.

ABSTRACT: 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.

SUBMITTER: Liu HN

PROVIDER: S-EPMC5891204 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature

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Serum microRNA signatures and metabolomics have high diagnostic value in colorectal cancer using two novel methods.

Liu Hai-Ning HN Liu Tao-Tao TT Wu Hao H Chen Yan-Jie YJ Tseng Yu-Jen YJ Yao Can C Weng Shu-Qiang SQ Dong Ling L Shen Xi-Zhong XZ

Cancer science 20180226 4

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 8 ...[more]

PMID: 29363233

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Project description:BackgroundTo improve the quality of life of colorectal cancer patients, it is important to establish new screening methods for early diagnosis of colorectal cancer.Methodology/principal findingsWe performed serum metabolome analysis using gas-chromatography/mass-spectrometry (GC/MS). First, the accuracy of our GC/MS-based serum metabolomic analytical method was evaluated by calculating the RSD% values of serum levels of various metabolites. Second, the intra-day (morning, daytime, and night) and inter-day (among 3 days) variances of serum metabolite levels were examined. Then, serum metabolite levels were compared between colorectal cancer patients (N?=?60; N?=?12 for each stage from 0 to 4) and age- and sex-matched healthy volunteers (N?=?60) as a training set. The metabolites whose levels displayed significant changes were subjected to multiple logistic regression analysis using the stepwise variable selection method, and a colorectal cancer prediction model was established. The prediction model was composed of 2-hydroxybutyrate, aspartic acid, kynurenine, and cystamine, and its AUC, sensitivity, specificity, and accuracy were 0.9097, 85.0%, 85.0%, and 85.0%, respectively, according to the training set data. In contrast, the sensitivity, specificity, and accuracy of CEA were 35.0%, 96.7%, and 65.8%, respectively, and those of CA19-9 were 16.7%, 100%, and 58.3%, respectively. The validity of the prediction model was confirmed using colorectal cancer patients (N?=?59) and healthy volunteers (N?=?63) as a validation set. At the validation set, the sensitivity, specificity, and accuracy of the prediction model were 83.1%, 81.0%, and 82.0%, respectively, and these values were almost the same as those obtained with the training set. In addition, the model displayed high sensitivity for detecting stage 0-2 colorectal cancer (82.8%).Conclusions/significanceOur prediction model established via GC/MS-based serum metabolomic analysis is valuable for early detection of colorectal cancer and has the potential to become a novel screening test for colorectal cancer.

Project description:The application of serum interleukin-6 (IL-6) in the diagnosis and prognosis of colorectal cancer (CRC) has been evaluated in many studies, whereas the results were contradictive.The aim of this study was to systematically evaluate this issue.An original study was conducted to explore the diagnostic value of serum IL-6 in CRC. Pubmed, Embase, and Cochrane library databases were searched for eligible studies.For diagnostic meta-analysis, aggregate data (AD) and individual participant data (IPD) meta-analyses were both adopted. The sensitivity and specificity were pooled and a summary receiver-operating characteristic (ROC) curve was constructed. For prognostic meta-analysis, study-specific hazard ratios (HRs) of IL-6 for survival were summarized. Secondary analysis of survival data was performed to synthesize the Kaplan-Meier curves.Total 17 studies (including our study) were included in this meta-analysis. The pooled sensitivity, specificity, and area under curve (AUC) of serum IL-6 were 0.72 (95% CI: 0.46-0.88), 0.74 (95% CI: 0.56-0.86), and 0.79 (95% CI: 0.75-0.82) in CRC diagnosis, respectively. Further, IPD meta-analysis strengthened the diagnostic value of serum IL-6 (the AUC, sensitivity, and specificity were 0.794, 0.606, and 0.839, respectively). For prognostic analysis, the high serum level of IL-6 was inversely associated with overall survival (OS) (pooled HR?=?1.76, 95% CI: 1.42-2.19, P?<?0.001) and disease-free survival (DFS) (pooled HR?=?2.97, 95% CI: 1.76-5.01, P?<?0.001). The synthesized Kaplan-Meier curves indicated that CRC patients with higher serum IL-6 level had a worse OS (P?=?0.0027) and DFS (P?<?0.001), which further support the prognostic value of serum IL-6 in CRC patients.The present study confirmed that serum IL-6 may be a potential biomarker for CRC diagnosis, and the high serum IL-6 level was associated with poor prognosis for both CRC overall survival and disease-free survival. The study has been registered in an international registry of systematic reviews PROSPERO (CRD42013006485).

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Project description:Colorectal cancer (CRC) ranks as the second leading cause of cancer-related mortality globally and is the third most prevalent cancer. The effective treatment of CRC is challenged by tumor drug resistance, underscoring the urgent need for novel therapeutic strategies. It is well recognized that epigenetic modifications, particularly DNA methylation, significantly contribute to the initiation and advancement of CRC. Tumors frequently exhibit hypermethylation of specific gene promoters alongside a general hypomethylation of genomic DNA. In normal tissues, gene promoters, particularly those of tumor suppressor genes, are typically unmethylated, whereas they are often hypermethylated in cancerous tissues. Previous studies have identified the methylation status of the CpG island within the SLC30A10 gene as a reliable biomarker for CRC. Notably, a hypermethylated phenotype is inversely correlated with SLC30A10 expression. However, the precise functional implications of SLC30A10 suppression in the context of CRC progression remain to be elucidated.). The investigation of molecular pathways involved in metal metabolism in CRC has not been conducted previously at the transcriptomic level. Furthermore, the relationship between the mutational characteristics of tumors—such as individual mutations, mutational burden, and microsatellite instability—and the activity of genes related to metal metabolic pathways has not been explored. This project aims to be the first to examine the antitumor potential of modulating the transport systems for manganese and zinc ions in CRC. The molecular function of SLC30A10 is to export zinc (Zn) and manganese (Mn) ions from the cell. Additionally, SLC30A10 plays a crucial role in mitigating Mn-induced cytotoxicity and facilitates Zn transport to early endosomes while promoting endosomal recirculation to avert Zn toxicity. Our findings indicate that overexpression of SLC30A10 is correlated with the knockout of its functional antagonist, SLC39A14 in the HuTu80 and HCT-15 cell lines.

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Serum microRNA signatures and metabolomics have high diagnostic value in colorectal cancer using two novel methods.

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Serum microRNA signatures and metabolomics have high diagnostic value in colorectal cancer using two novel methods.

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