Evidence map›Paper›PMID 34423480›Full record

ArticleCell proliferation2021

Prognostic and predictive role of a metabolic rate-limiting enzyme signature in hepatocellular carcinoma.

Zhangding Wang, Yao Fu, Anliang Xia, Chen Chen, Jiamu Qu, Guifang Xu, Xiaoping Zou, Qiang Wang, Shouyu Wang

Open access · goldAbstract read
In one paragraph

Article in Cell proliferation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.5field-weighted citation impact, top 3% 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

15 citing papers in PubMed, 54 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

9 authors at 2 institutions in 1 country.

Zhangding WangDepartment of Gastroenterology, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China.
Yao FuDepartment of Pathology, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China.
Anliang XiaDepartment of Hepatobiliary Surgery, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China.
Chen ChenJiangsu Key Laboratory of Molecular Medicine, Medical School of Nanjing University, Nanjing, China.
Jiamu QuDepartment of Hepatobiliary Surgery, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China.
Guifang XuDepartment of Gastroenterology, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China.
Xiaoping ZouDepartment of Gastroenterology, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China.
Qiang WangDepartment of Hepatobiliary Surgery, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China.ORCID https://orcid.org/0000-0003-1090-2174
Shouyu WangDepartment of Hepatobiliary Surgery, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China.
Nanjing Drum Tower Hospital · CNNanjing University · CN

Funding

the Fundamental Research Funds for the Central Universities 021414380439the National Natural Science Foundation of China 81773383the National Natural Science Foundation of China 81903085the National Natural Science Foundation of China 82073114the natural science foundation of Jiangsu Province BK20200132the Project funded by China Postdoctoral Science Foundation 2019M651808the Project funded by China Postdoctoral Science Foundation 2020M681562the Project funded by China Postdoctoral Science Foundation 2020T130291the Science Foundation for Distinguished Young Scholars of Jiangsu Province BK20170047
6 · The paper itself

Abstract

objectivesAbnormal expression of metabolic rate-limiting enzymes drives the occurrence and progression of hepatocellular carcinoma (HCC). This study aimed to elucidate the comprehensive model of metabolic rate-limiting enzymes associated with the prognosis of HCC. MATERIALS AND

methodsHCC animal model and TCGA project were used to screen out differentially expressed metabolic rate-limiting enzyme. Cox regression, least absolute shrinkage and selection operation (LASSO) and experimentally verification were performed to identify metabolic rate-limiting enzyme signature. The area under the receiver operating characteristic curve (AUC) and prognostic nomogram were used to assess the efficacy of the signature in the three HCC cohorts (TCGA training cohort, internal cohort and an independent validation cohort).

resultsA classifier based on three rate-limiting enzymes (RRM1, UCK2 and G6PD) was conducted and serves as independent prognostic factor. This effect was further confirmed in an independent cohort, which indicated that the AUC at year 5 was 0.715 (95% CI: 0.653-0.777) for clinical risk score, whereas it was significantly increased to 0.852 (95% CI: 0.798-0.906) when combination of the clinical with signature risk score. Moreover, a comprehensive nomogram including the signature and clinicopathological aspects resulted in significantly predict the individual outcomes.

conclusionsOur results highlighted the prognostic value of rate-limiting enzymes in HCC, which may be useful for accurate risk assessment in guiding clinical management and treatment decisions.

Indexed as

AnimalsCarcinoma, HepatocellularCell Line, TumorGene Expression Regulation, NeoplasticHep G2 CellsHumansKaplan-Meier EstimateLiver NeoplasmsMiceMice, Inbred C57BLNomogramsPrognosisROC Curvehepatocellular carcinomametabolismprognosisrate-limiting enzymessignature

Identifiers

PMID34423480
PMCPMC8488553
OpenAlexW3195391403

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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.