Evidence map›Paper›PMID 35154012›Full record

ArticleFrontiers in endocrinology2021

Metabolic Profiling Identified a Novel Biomarker Panel for Metabolic Syndrome-Positive Hepatocellular Cancer.

Lin-Lin Cao, Yi Han, Yuanxiao Wang, Lin Pei, Zhihong Yue, Li Qin, Boyu Liu, Jingwen Cui, Mei Jia, Hui Wang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 22% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. LOX-1 and Its Splicing Variant LOX-1International journal of hepatology · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. [Research advances of metabolomics in early diagnosis of hepatocellular carcinoma].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2022
    Review
  10. Article
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

10 authors at 2 institutions in 1 country.

Lin-Lin CaoDepartment of Clinical Laboratory, Peking University People's Hospital, Beijing, China.
Yi HanDepartment of Clinical Laboratory, Peking University People's Hospital, Beijing, China.
Yuanxiao WangDepartment of Clinical Laboratory, Peking University People's Hospital, Beijing, China.
Lin PeiDepartment of Clinical Laboratory, Peking University People's Hospital, Beijing, China.
Zhihong YueDepartment of Clinical Laboratory, Peking University People's Hospital, Beijing, China.
Li QinDepartment of Clinical Laboratory, Peking University People's Hospital, Beijing, China.
Boyu LiuDepartment of Pharmacy, Peking University People's Hospital, Beijing, China.
Jingwen CuiSCIEX Analytical Instrument Trading Co., Shanghai, China.
Mei JiaDepartment of Clinical Laboratory, Peking University People's Hospital, Beijing, China.
Hui WangDepartment of Clinical Laboratory, Peking University People's Hospital, Beijing, China.
Peking University People's Hospital · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic syndrome (MetS) is an independent risk factor for hepatocellular cancer (HCC). Currently, there is no highly sensitive and specific biomarkers for HCC surveillance in MetS population. Metabolomics has been reported as a powerful technology for biomarker discovery. In the present study, we aimed to explore novel biomarkers with high sensitivity and specificity for MetS-positive [MetS(+)] HCC by metabolomic analysis. At first, many serum metabolites were found dysregulated in MetS(+) HCC individuals. Validation of the dysregulated metabolites by targeted metabolite analyses revealed that serum L-glutamic acid (L-glu), pipecolic acid (PA) and 7-methylguanine (7-mG) were increased in MetS(+) HCC compared to MetS group. Then a biomarker panel including L-glu, PA and alpha-fetoprotein (AFP) was identified as a novel biomarker for the diagnosis of MetS(+) HCC. Receiver operating characteristic (ROC) curve was drawn and the area under the ROC curve (AUC) was 0.87 for discriminating MetS(+) HCC from MetS group. The biomarker panel was capable of detecting small (AUC = 0.82) and early-stage (AUC = 0.78) tumors as well. Moreover, it exhibited great diagnostic performance (AUC = 0.93) for discriminating MetS(+) HCC from other MetS-associated cancers, including colorectal cancer and gastric cancer. Collectively, our study establishes a novel diagnostic tool for MetS(+) HCC.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsMetabolic SyndromeBiomarkers, TumorHumansMetabolomicsBiomarkers, Tumorhepatocellular cancerL-glutamic acidmetabolic syndromemetabolomicspipecolic acid

Identifiers

PMID35154012
PMCPMC8826723
OpenAlexW4210448201

What OpenQuestion holds

Textmetadata
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.