Evidence map›Paper›PMID 33535183›Full record

ArticleAging2021

Value of KPNA4 as a diagnostic and prognostic biomarker for hepatocellular carcinoma.

Mingxing Xu, Hao Liang, Kun Li, Shu Zhu, Zhicheng Yao, Ruiyun Xu, Nan Lin

Open access · greenAbstract read
In one paragraph

Article in Aging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

12 citing papers in PubMed, 15 citations in OpenAlex.

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  6. New insights into T-cell exhaustion in liver cancer: from mechanism to therapy.Journal of cancer research and clinical oncology · 2023
    Review
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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 2 institutions in 1 country.

Mingxing XuDepartment of Hepatobiliary Surgery, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, Guangdong, China.
Hao LiangDepartment of General Surgery, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, Guangdong, China.
Kun LiDepartment of Liver Transplantation, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, Guangdong, China.
Shu ZhuDepartment of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, Guangdong, China.
Zhicheng YaoDepartment of General Surgery, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, Guangdong, China.
Ruiyun XuDepartment of Hepatobiliary Surgery, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, Guangdong, China.
Nan LinDepartment of Hepatobiliary Surgery, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, Guangdong, China.
Sun Yat-sen University · CNThird Affiliated Hospital of Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is important to identify novel biomarkers to improve hepatocellular carcinoma (HCC) diagnosis and treatment. Herein, we reported the role of karyopherin α4 (KPNA4) in HCC patients through public data mining and examined the results using clinical samples in our center. Our results revealed that KPNA4 expression level was positively correlated with the infiltration of CD8

Indexed as

Adultalpha KaryopherinsB-LymphocytesCarcinoma, HepatocellularCD4-Positive T-LymphocytesCD8-Positive T-LymphocytesDendritic CellsFemaleHumansLiver NeoplasmsLymphocytes, Tumor-InfiltratingMacrophagesMaleMiddle AgedMultivariate AnalysisNeutrophilsalpha KaryopherinsKPNA4 protein, humanRNA, Messengerbiomarkerhepatocellular carcinomaimmune infiltrationKPNA4overall survival

Identifiers

PMID33535183
PMCPMC7950262
OpenAlexW3128641327

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.