Evidence map›Paper›PMID 35888734›Full record

ArticleMetabolites2022

A Serum Metabolite Classifier for the Early Detection of Type 2 Diabetes Mellitus-Positive Hepatocellular Cancer.

Lin-Lin Cao, Yi Han, Lin Pei, Zhi-Hong Yue, Bo-Yu Liu, Jing-Wen Cui, Mei Jia, Hui Wang

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 31% 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

7 citing papers in PubMed, 9 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

8 authors at 1 institution in 1 country.

Lin-Lin CaoDepartment of Clinical Laboratory, Peking University People's Hospital, Beijing 100044, China.
Yi HanDepartment of Clinical Laboratory, Peking University People's Hospital, Beijing 100044, China.
Lin PeiDepartment of Clinical Laboratory, Peking University People's Hospital, Beijing 100044, China.
Zhi-Hong YueDepartment of Clinical Laboratory, Peking University People's Hospital, Beijing 100044, China.
Bo-Yu LiuDepartment of Pharmacy, Peking University People's Hospital, Beijing 100044, China.
Jing-Wen CuiSCIEX Analytical Instrument Trading Co., Shanghai 200335, China.ORCID 0000-0001-9921-9317
Mei JiaDepartment of Clinical Laboratory, Peking University People's Hospital, Beijing 100044, China.
Hui WangDepartment of Clinical Laboratory, Peking University People's Hospital, Beijing 100044, China.
Peking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type 2 diabetes mellitus (T2DM) has been identified as an independent risk factor for hepatocellular cancer (HCC). However, there are no ideal biomarkers for the surveillance and early detection of HCC in the T2DM population at present. In this study, we aimed to explore novel metabolite biomarkers for T2DM-positive [T2DM(+)] HCC by metabolomic analysis. At first, many serum metabolites were found dysregulated in T2DM(+) HCC patients in untargeted metabolomic analyses. Targeted metabolite analyses confirmed that serum benzoic acid and citrulline were increased, and creatine was decreased in T2DM(+) HCC compared to the T2DM group. A metabolite classifier including benzoic acid, creatine, and citrulline was identified as a novel biomarker for the diagnosis of T2DM(+) HCC, with an area under the ROC curve (AUC) of 0.93 for discriminating T2DM(+) HCC patients from T2DM patients. In addition, the metabolite classifier detected small-size (AUC = 0.94), early-stage (AUC = 0.94), and AFP-negative (AUC = 0.96) tumors with high sensitivity and specificity. The combination of this metabolite classifier and AFP might be useful in the surveillance and early detection of HCC in the T2DM population. In conclusion, this study establishes a novel diagnostic tool for T2DM(+) HCC.

Indexed as

benzoic acidcitrullinecreatinehepatocellular cancermetabolite classifiermetabolomicstype 2 diabetes mellitus

Identifiers

PMID35888734
PMCPMC9315765
OpenAlexW4283752691

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.