Evidence map›Paper›PMID 31773292›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2019

Clinical and metabolomics analysis of hepatocellular carcinoma patients with diabetes mellitus.

Hongping Xia, Jianxiang Chen, Karthik Sekar, Ming Shi, Tian Xie, Kam M Hui

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Article in Metabolomics : Official journal of the Metabolomic Society, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
0.9field-weighted citation impact, top 25% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 17 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 2 countries.

Hongping XiaDepartment of Pathology, School of Basic Medical Sciences & Sir Run Run Hospital & State Key Laboratory of Reproductive Medicine & Key Laboratory of Antibody Technique of National Health Commission, Nanjing Medical University, Nanjing, China. xiahongping@njmu.edu.cn.ORCID 0000-0002-5663-8092
Jianxiang ChenHolistic Integrative Pharmacy Institutes (HIPI), Hangzhou Normal University, Hangzhou, China.
Karthik SekarLaboratory of Cancer Genomics, Division of Cellular and Molecular Research, National Cancer Centre, Singapore, Singapore.
Ming ShiDepartment of Hepatobiliary Oncology, Cancer Center, Sun Yat-sen University, Guangzhou, China.
Tian XieHolistic Integrative Pharmacy Institutes (HIPI), Hangzhou Normal University, Hangzhou, China.
Kam M HuiDepartment of Pathology, School of Basic Medical Sciences & Sir Run Run Hospital & State Key Laboratory of Reproductive Medicine & Key Laboratory of Antibody Technique of National Health Commission, Nanjing Medical University, Nanjing, China. cmrhkm@nccs.com.sg.
Hangzhou Normal University · CNNational Cancer Centre Singapore · SGSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDiabetes and cancer are among the most frequent causes of death worldwide. Recent epidemiological findings have indicated a link between diabetes and cancer in several organs, particularly the liver. A number of epidemiological studies have demonstrated that diabetes is an established independent risk factor for hepatocellular carcinoma (HCC). However, the metabolites connecting diabetes and HCC remains less well understood.

objectivesThe study aimed to identify clinical and metabolomics differences of HCC from patients with/without diabetes using comprehensive global metabolomics analysis.

methodsMetabolite profiling was conducted with the Metabolon platform for 120 human diabetes/non-diabetes HCC tumor/normal tissues. Standard statistical analyses were performed using the Partek Genomics Suite on log-transformed data. Principal component analysis (PCA) was conducted using all and dysregulated metabolites.

resultsWe identified a group of metabolites that are differentially expressed in the tumor tissues of diabetes HCC compared to non-diabetes HCC patients. Meanwhile, we also identified a group of metabolites that are differentially expressed in the matched normal liver tissues of diabetes HCC compared to non-diabetes HCC patients. Some metabolites are consistently dysregulated in the tumor or matched normal tissues of HCC with or without diabetes. However, some metabolites, including 2-hydroxystearate, were only overexpressed in the tumor tissues of HCC with diabetes and associated with the glucose level.

conclusionMetabolic profiling identifies distinct dysregulated metabolites in HCC patients with/without diabetes.

Indexed as

AdultAgedBiomarkers, TumorCarcinoma, HepatocellularChinaDiabetes MellitusFemaleHumansLiverLiver CirrhosisLiver NeoplasmsMaleMetabolomeMetabolomicsMiddle AgedPrincipal Component AnalysisBiomarkers, TumorDiabetesHepatocellular carcinomaMetabolitesMetabolomicsPrincipal component analysis

Identifiers

PMID31773292
OpenAlexW2989975446

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.