Evidence map›Paper›PMID 34557409›Full record

ArticleFrontiers in oncology2021

Identification of Novel Molecular Therapeutic Targets and Their Potential Prognostic Biomarkers Among Kinesin Superfamily of Proteins in Pancreatic Ductal Adenocarcinoma.

Yang Yang, Lanyang Gao, Ning-Na Weng, Jun-Jun Li, Jin Lu Liu, Ying Zhou, Rong Liao, Qun-Li Xiong, Yong-Feng Xu, Armando Varela-Ramirez and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 22% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
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  4. Research progress of kinesin family in neurological diseases.Frontiers in cellular neuroscience · 2025
    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

11 authors at 4 institutions in 2 countries.

Yang YangDepartment of Abdominal Oncology, West China Hospital of Sichuan University, Chengdu, China.
Lanyang GaoSichuan Provincial Center for Gynaecology and Breast Disease, The Affiliated Hospital of Southwest Medical University, Southwest Medical University, Luzhou, China.
Ning-Na WengDepartment of Abdominal Oncology, West China Hospital of Sichuan University, Chengdu, China.
Jun-Jun LiDepartment of Abdominal Oncology, West China Hospital of Sichuan University, Chengdu, China.
Jin Lu LiuDepartment of Abdominal Oncology, West China Hospital of Sichuan University, Chengdu, China.
Ying ZhouDepartment of Abdominal Oncology, West China Hospital of Sichuan University, Chengdu, China.
Rong LiaoDepartment of Abdominal Oncology, West China Hospital of Sichuan University, Chengdu, China.
Qun-Li XiongDepartment of Abdominal Oncology, West China Hospital of Sichuan University, Chengdu, China.
Yong-Feng XuDepartment of Abdominal Oncology, West China Hospital of Sichuan University, Chengdu, China.
Armando Varela-RamirezDepartment of Biological Sciences, The Border Biomedical Research Center (BBRC), The University of Texas at El Paso, El Paso, TX, United States.
Qing ZhuDepartment of Abdominal Oncology, West China Hospital of Sichuan University, Chengdu, China.
West China Hospital of Sichuan University · CNSichuan University · CNAffiliated Hospital of Southwest Medical University · CNThe University of Texas at El Paso · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundKinesin superfamily of proteins (KIFs) has been broadly reported to play an indispensable role in the biological process. Recently, emerging evidence reveals its oncogenic role in various cancers. However, the prognostic, oncological, and immunological values of KIFs have not been comprehensively explored in pancreatic ductal adenocarcinoma (PDAC) patients. We aimed to illustrate the relationship between KIFs and pancreatic ductal adenocarcinoma by using bioinformatical analysis.

methodsWe use GEPIA, Oncomine datasets, cBioPortal, LOGpc, TIMER, and STRING bioinformatics tools and web servers to investigate the aberrant expression, prognostic values, and oncogenic role of KIFs. The two-gene prognostic model and the correlation between KIFs and KRAS and TP53 mutation were performed using an R-based computational framework.

resultsOur results demonstrated that KIFC1/2C/4A/11/14/15/18A/18B/20B/23 (we name it prognosis-related KIFs) were upregulated and associated with unfavorable clinical outcome in pancreatic cancer patients. KIF21B overexpression is associated with better clinical outcome. The KIFC1/2C/4A/11/14/15/18A/18B/20B/23 profiles were significantly increased compared to grade 1 and grade 2/3. Besides, KIFC1/2C/4A/11/14/15/18A/18B/20B/23 was significantly associated with the mutation status of KRAS and TP53.Notably, most prognosis-related KIFs have strong correlations with tumor growth and myeloid-derived suppressor cells infiltration (MDSCs). A prognostic signature based on KIF20B and KIF21B showed a reliable predictive performance. Receiver operating characteristic (ROC) curve was employed to assess the predictive power of two-gene signature. Consequently, the gene set enrichment analysis (GSEA) showed that KIF20B and KIF21B's overexpression was associated with the immunological and oncogenic pathway activation in pancreatic cancer. Finally, real-time quantitative PCR (RT-qPCR) was utilized to investigate the expression pattern of KIF20B and KIF21B in pancreatic cancer cell lines and normal pancreatic cell.

conclusionsKnowledge of the expression level of the KIFs may provide novel therapeutic molecular targets and potential prognostic biomarkers to pancreatic cancer patients.

Indexed as

bioinformatics toolskinesin superfamily of proteinsoverall survivalpancreatic cancerTCGA

Identifiers

PMID34557409
PMCPMC8454465
OpenAlexW3198285778

What OpenQuestion holds

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LicenceCC BY
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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.