Evidence map›Paper›PMID 31611988›Full record

ArticleOncology letters2019

Identification of cancer/testis antigen 2 gene as a potential hepatocellular carcinoma therapeutic target by hub gene screening with topological analysis.

Jinwei Liu, Zhaojin Yu, Mingli Sun, Qianqian Liu, Minjie Wei, Hua Gao

Abstract read
In one paragraph

Article in Oncology letters, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Observational
  6. Diagnosis efficacy of CEUS for hepatic inflammatory lesions.Journal of clinical laboratory analysis · 2020
    Article
  7. 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

6 authors.

Jinwei LiuDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, Liaoning 110122, P.R. China.
Zhaojin YuDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, Liaoning 110122, P.R. China.
Mingli SunDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, Liaoning 110122, P.R. China.
Qianqian LiuDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, Liaoning 110122, P.R. China.
Minjie WeiDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, Liaoning 110122, P.R. China.
Hua GaoDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, Liaoning 110122, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The 5-year survival rate of hepatocellular carcinoma (HCC) is <20%; thus, identifying new potential therapeutic targets or novel biomarkers for prognosis prediction is crucial. The present study aimed to screen hub genes by constructing protein-protein interaction (PPI) subnetworks using topological analysis methods, as well as reveal their clinical significance through big data analytics and their association with the clinicopathological features. Firstly, the PPI subnetworks were constructed using four topological analysis methods, including the MCC, DMNC, MNC and degree methods, to obtain 6 hub genes. Subsequently, the hub gene cancer/testis antigen 2

Indexed as

cancer/testis antigen 2hepatocellular carcinomaprognosistherapeutic targettopological analysis

Identifiers

PMID31611988
PMCPMC6781590

What OpenQuestion holds

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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.