Evidence map›Paper›PMID 33771191›Full record

ArticleWorld journal of surgical oncology2021

Identification and validation of a five-gene prognostic signature for hepatocellular carcinoma.

Huibin Yang, Junyu Huo, Xin Li

Open access · goldAbstract read
In one paragraph

Article in World journal of surgical oncology, 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
1.6field-weighted citation impact, top 16% 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, 20 citations in OpenAlex.

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  12. Identification of a Novel Risk Model: A Five-Gene Prognostic Signature for Pancreatic Cancer.Evidence-based complementary and alternative medicine : eCAM · 2022
    Article
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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

3 authors at 1 institution in 1 country.

Huibin YangQingdao University, No. 308 Ningxia Road, Qingdao, 266071, China.
Junyu HuoDepartment of Hepatobiliary and Pancreatic Surgery, The Affiliated Qingdao Municipal Hospital of Qingdao University, No.1 Jiaozhou Road, Shibei District, Qingdao City, 266011, Shandong Province, China.
Xin LiDepartment of Hepatobiliary and Pancreatic Surgery, The Affiliated Qingdao Municipal Hospital of Qingdao University, No.1 Jiaozhou Road, Shibei District, Qingdao City, 266011, Shandong Province, China. joemarton@163.com.ORCID http://orcid.org/0000-0002-2949-5663
Qingdao University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundARID1A is a commonly mutated tumor suppressor gene found in all human cancer types, but its clinical significance, oncogenic functions, and relevant mechanisms in hepatocellular carcinoma (HCC) are not well understood.

objectiveWe aimed to improving the prognosis risk classification of HCC from the perspective of ARID1A mutations. MATERIALS AND

methodsWe examined the interaction between ARID1A mutations and the overall survival via Kaplan-Meier survival analysis. We used gene set enrichment analysis (GSEA) to elucidate the influence of ARID1A mutations on signaling pathways. A prognostic model was constructed using LASSO and multivariate Cox regression analyses. A receiver operating characteristic (ROC) curve was used to estimate the performance and accuracy of the model.

resultsHCC patients with ARID1A mutations presented poor prognosis. By GSEA, we showed that genes upregulated by reactive oxygen species (ROS) and regulated by MYC were positively correlated with ARID1A mutations. A prognostic signature consisting of 5 genes (SRXN1, LDHA, TFDP1, PPM1G, and EIF2S1) was constructed in our research. The signature showed good performance in predicting overall survival (OS) for HCC patients by internal and external validation.

conclusionOur research proposed a novel and robust approach for the prognostic risk classification of HCC patients, and this approach may provide new insights to improve the treatment strategy of HCC.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsBiomarkers, TumorGene Expression ProfilingHumansPrognosisProtein Phosphatase 2CBiomarkers, TumorPPM1G protein, humanProtein Phosphatase 2CARID1A mutationsHepatocellular carcinomaPrognosticSignature

Identifiers

PMID33771191
PMCPMC8004398
OpenAlexW3139523798

What OpenQuestion holds

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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.