Evidence map›Paper›PMID 29464069›Full record

ArticleOncotarget2018

Determination of candidate metabolite biomarkers associated with recurrence of HCV-related hepatocellular carcinoma.

Zhicheng Liu, Pierre Nahon, Zaifang Li, Peiyuan Yin, Yanli Li, Roland Amathieu, Nathalie Ganne-Carrié, Marianne Ziol, Nicolas Sellier, Olivier Seror and 3 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.2field-weighted citation impact, top 42% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Metabolomics in viral hepatitis: advances and review.Frontiers in cellular and infection microbiology · 2023
    Review
  3. Article
  4. [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
  5. Review
  6. Review
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

13 authors at 10 institutions in 2 countries.

Zhicheng LiuCAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China.
Pierre NahonHepatology Unit, Jean Verdier Teaching Hospital, AP-HP, Bondy, France.
Zaifang LiCAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China.
Peiyuan YinCAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China.
Yanli LiCAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China.
Roland AmathieuUniversité Paris 13, Sorbonne Paris Cité, Laboratoire de Chimie, Structures et Propriétés de Biomateriaux et d'Agents Therapeutiques, UMR 7244, Bobigny, France.
Nathalie Ganne-CarriéHepatology Unit, Jean Verdier Teaching Hospital, AP-HP, Bondy, France.
Marianne ZiolAPHP, Service d'Anatomie Pathologique, Hôpital Jean Verdier, BB-0033-00027, Centre de Ressources Biologiques Maladies du foie, Groupe Hospitalier, Paris-Seine-Saint-Denis, France.
Nicolas SellierAPHP, Service de Radiologie, Hôpital Jean Verdier, Bondy, France.
Olivier SerorINSERM U1162, Génomique Fonctionnelle des Tumeurs Solides, INSERM U1162, Paris, France.
Laurence Le MoyecUniversité d'Evry Val d'Essonne, UBIAE, EA7362, Evry, France.
Philippe SavarinUniversité Paris 13, Sorbonne Paris Cité, Laboratoire de Chimie, Structures et Propriétés de Biomateriaux et d'Agents Therapeutiques, UMR 7244, Bobigny, France.
Guowang XuCAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China.
Chinese Academy of Sciences · CNAssistance Publique – Hôpitaux de Paris · FRBiomatériaux et Bioingénierie · FRChimie, Structures et Propriétés de Biomatériaux et d'Agents ThérapeutiquesDalian Institute of Chemical Physics · CNGénomique Fonctionnelle des Tumeurs Solides · FRHôpital Jean-Verdier · FRInserm · FRUniversité d'Évry Val-d'Essonne · FRUniversité Paris Cité · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatitis C virus (HCV) infection is associated with a high risk of developing hepatocellular carcinoma (HCC) and HCC recurrence remains the primary threat to outcomes after curative therapy. In this study, we compared recurrent and non-recurrent HCC patients treated with radiofrequency ablation (RFA) in order to identify characteristic metabolic profile variations associated with HCC recurrence. Gas chromatography-mass spectrometry (GC-MS) -based metabolomic analyses were conducted on serum samples obtained before and after RFA therapy. Significant variations were observed in metabolites in the glycerolipid, tricarboxylic acid (TCA) cycle, fatty acid, and amino acid pathways between recurrent and non-recurrent patients. Observed differences in metabolites associated with recurrence did not coincide before and after treatment except for fatty acids. Based on the comparison of serum metabolomes between recurrent and non-recurrent patients, key discriminatory metabolites were defined by a random forest (RF) test. Two combinations of these metabolites before and after RFA treatment showed outstanding performance in predicting HCV-related HCC recurrence, they were further confirmed by an external validation set. Our study showed that the determined combination of metabolites may be potential biomarkers for the prediction of HCC recurrence before and after RFA treatment.

Indexed as

GC-MSHCV-related HCCmetabolic biomarkermetabolomicsrecurrence

Identifiers

PMID29464069
PMCPMC5814209
OpenAlexW2776282424

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.