Evidence map›Paper›PMID 30971588›Full record

ArticleSaudi journal of gastroenterology : official journal of the Saudi Gastroenterology Association

Cytochrome P450 family members are associated with fast-growing hepatocellular carcinoma and patient survival: An integrated analysis of gene expression profiles.

Zhao-Zhen Liu, Li-Na Yan, Chun-Nan Dong, Ning Ma, Mei-Na Yuan, Jin Zhou, Ping Gao

Open access · diamondAbstract read
In one paragraph

Article in Saudi journal of gastroenterology : official journal of the Saudi Gastroenterology Association. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

16 citing papers in PubMed, 25 citations in OpenAlex.

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  5. Review
  6. Computational and mathematical methods in medicine · 2023
    Article
  7. Human Orphan Cytochromes P450: An Update.Current drug metabolism · 2022
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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

7 authors at 1 institution in 1 country.

Zhao-Zhen LiuDepartment of Social Medicine and Health Care Management, School of Public Health, Hebei Medical University; Hebei Province Key Laboratory of Environment and Human Health, Hebei, China.
Li-Na YanDepartment of Epidemiology and Biostatistics, School of Public Health, Hebei Medical University; Hebei Province Key Laboratory of Environment and Human Health, Hebei, China.
Chun-Nan DongDepartment of Pathogenic Biology, Hebei Medical University, Hebei, China.
Ning MaDepartment of Social Medicine and Health Care Management, School of Public Health, Hebei Medical University; Hebei Province Key Laboratory of Environment and Human Health, Hebei, China.
Mei-Na YuanDepartment of Social Medicine and Health Care Management, School of Public Health, Hebei Medical University; Hebei Province Key Laboratory of Environment and Human Health, Hebei, China.
Jin ZhouDepartment of Social Medicine and Health Care Management, School of Public Health, Hebei Medical University; Hebei Province Key Laboratory of Environment and Human Health, Hebei, China.
Ping GaoDepartment of Social Medicine and Health Care Management, School of Public Health, Hebei Medical University; Hebei Province Key Laboratory of Environment and Human Health, Hebei, China.
Hebei Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimsThe biological heterogeneity of hepatocellular carcinoma (HCC) makes prognosis difficult. Although many molecular tools have been developed to assist in stratification and prediction of patients by using microarray analysis, the classification and prediction are still improvable because the high-through microarray contains a large amount of information. Meanwhile, gene expression patterns and their prognostic value for HCC have not been systematically investigated. In order to explore new molecular diagnostic and prognostic biomarkers, the gene expression profiles between HCCs and adjacent nontumor tissues were systematically analyzed in the present study. MATERIALS AND

methodsIn this study, gene expression profiles were obtained by repurposing five Gene Expression Omnibus databases. Differentially expressed genes were identified by using robust rank aggregation method. Three datasets (GSE14520, GSE36376, and GSE54236) were used to validate the associations between cytochrome P450 (CYP) family genes and HCC. GSE14520 was used as the training set. GSE36376 and GSE54236 were considered as the testing sets.

resultsFrom the training set, a four-CYP gene signature was constructed to discriminate between HCC and nontumor tissues with an area under curve (AUC) of 0.991. Accuracy of this four-gene signature was validated in two testing sets (AUCs for them were 0.973 and 0.852, respectively). Moreover, this gene signature had a good performance to make a distinction between fast-growing HCC and slow-growing HCC (AUC = 0.898), especially for its high sensitivity of 95%. At last, CYP2C8 was identified as an independent risk factor of recurrence-free survival (hazard ratio [HR] =0.865, 95% confidence interval [CI], 0.754-0.992, P = 0.038) and overall survival (HR = 0.849; 95% CI, 0.716-0.995, P = 0.033).

conclusionsIn summary, our results confirmed for the first time that a four-CYP gene (CYP1A2, CYP2E1, CYP2A7, and PTGIS) signature is associated with fast-growing HCC, and CYP2C8 is associated with patient survival. Our findings could help to identify HCC patients at high risk of rapid growth and recurrence.

Indexed as

AdultAgedAged, 80 and overBiomarkers, TumorCarcinoma, HepatocellularCytochrome P-450 CYP2C8Cytochrome P-450 Enzyme SystemDisease-Free SurvivalDisease ProgressionFemaleGene Expression ProfilingHumansLiver NeoplasmsMaleMicroarray AnalysisMiddle AgedBiomarkers, TumorCytochrome P-450 CYP2C8Cytochrome P-450 Enzyme SystemBiomarkerfast-growing HCChepatocellular carcinomaprognosis

Identifiers

PMID30971588
PMCPMC6526731
OpenAlexW2944041337

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.