Evidence map›Paper›PMID 32509165›Full record

ArticleAmerican journal of translational research2020

Kinesin family members KIF2C/4A/10/11/14/18B/20A/23 predict poor prognosis and promote cell proliferation in hepatocellular carcinoma.

Xishan Li, Weimei Huang, Wenbin Huang, Ting Wei, Weiliang Zhu, Guodong Chen, Jian Zhang

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 1 pooled it
5.4field-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

40 citing papers in PubMed, 1 synthesis or guideline pooled it, 63 citations in OpenAlex.

  1. Pooled it
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  5. A competing TMPO-AS1-let-7b-5p-kinesin superfamily RNA network predicts poor lung cancer patient survival.Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology · 2026
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  16. Pan-cancer analysis of telomere maintenance mechanisms.The Journal of biological chemistry · 2024
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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.

Xishan LiDepartment of Oncology, Zhujiang Hospital, Southern Medical University 253 Industrial Avenue, Guangzhou 510282, China.
Weimei HuangDepartment of Oncology, Zhujiang Hospital, Southern Medical University 253 Industrial Avenue, Guangzhou 510282, China.
Wenbin HuangDepartment of Oncology, Zhujiang Hospital, Southern Medical University 253 Industrial Avenue, Guangzhou 510282, China.
Ting WeiDepartment of Oncology, Zhujiang Hospital, Southern Medical University 253 Industrial Avenue, Guangzhou 510282, China.
Weiliang ZhuDepartment of Oncology, Zhujiang Hospital, Southern Medical University 253 Industrial Avenue, Guangzhou 510282, China.
Guodong ChenDepartment of Interventional Radiology, Guangzhou First People's Hospital, The Second Affiliated Hospital of South China University of Technology No. 1 Panfu Road, Guangzhou 510180, China.
Jian ZhangDepartment of Oncology, Zhujiang Hospital, Southern Medical University 253 Industrial Avenue, Guangzhou 510282, China.
Zhujiang Hospital · CNSecond Affiliated Hospital of Guangzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Kinesin superfamily proteins (KIFs) comprise a family of molecular motors that transport membranous organelles and protein complexes in a microtubule- and ATP-dependent manner, with multiple roles in cancers. Little is known about the function of KIFs in hepatocellular carcinoma (HCC). Here, we investigate the roles of KIFs in the prognosis and progression of HCC. Upregulation of eight KIFs (KIF2C, KIF4A, KIF10, KIF11, KIF14, KIF18B, KIF20A, and KIF23) was found to be significantly associated with the tumor stage and pathological tumor grade of HCC patients. Additionally, a high expression of these eight KIFs was significantly associated with shorter overall survival (OS) and disease-free survival (DFS) in patients with HCC. Cox regression analysis showed the mRNA expression levels of these eight KIF members to be independent prognostic factors for worse outcomes in HCC. Moreover, a risk score model based on the mRNA levels of the eight KIF members effectively predicted the OS rate of patients with HCC. Additional experiments revealed that downregulation of each of the eight KIFs effectively decreased the proliferation and increased the G1 arrest of liver cancer cells in vitro. Taken together, these results indicate that KIF2C/4A/10/11/14/18B/20A/23 may serve as prognostic biomarkers for survival and potential therapeutic targets in HCC patients.

Indexed as

cell cycleHepatocellular carcinomaKIFsmigrationprognosisproliferation

Identifiers

PMID32509165
PMCPMC7270015
OpenAlexW3033911051

What OpenQuestion holds

Textmetadata
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.