Evidence map›Paper›PMID 37192046›Full record

ArticleAging2023

Association of NCAP family genes with prognosis and immune infiltration of human sarcoma.

Guangyao Jiang, Qunyan Tian, Peikai Shi, Zhigao Li, Yan Li, Junjie Chen, Wanchun Wang, Ruiqi Chen, Hua Zhong, Gen Wu

Open access · hybridAbstract read
In one paragraph

Article in Aging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors at 6 institutions in 1 country.

Guangyao JiangDepartment of Orthopedics, People’s Hospital of Pingchang County, Pingchang, Sichuan 636400, China.
Qunyan TianDepartment of Orthopedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China.
Peikai ShiThe Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen, Guangdong 518000, China.
Zhigao LiDepartment of General Surgery, People’s Hospital of Pingchang County, Pingchang, Sichuan 636400, China.
Yan LiDepartment of Orthopedics, People’s Hospital of Pingchang County, Pingchang, Sichuan 636400, China.
Junjie ChenDepartment of Orthopedics, Longhui People’s Hospital, Shaoyang, Hunan 422200, China.
Wanchun WangDepartment of Orthopedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China.
Ruiqi ChenDepartment of Orthopedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China.
Hua ZhongDepartment of Orthopedics, The Fifth Affiliated Hospital, Southern Medical University, Guangzhou, Guangdong 510900, China.
Gen WuDepartment of Orthopedics, The Fifth Affiliated Hospital, Southern Medical University, Guangzhou, Guangdong 510900, China.
Central South University · CNPingliang People's Hospital · CNSecond Xiangya Hospital of Central South University · CNSouthern Medical University · CNGuangzhou University of Chinese Medicine · CNThe Central Hospital of Shaoyang · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study was conducted to explore the correlation of NCAP family genes with expression, prognosis, and immune infiltration in human sarcoma.

resultsCompared with normal human tissues, six NCAP family genes were highly expressed in sarcoma tissues, and high expression of the six genes were significantly associated with the poor prognosis of sarcoma patients. The expression of NCAPs in sarcoma was significantly related to the low infiltration level of macrophages and CD4+ T cells. GO and KEGG enrichment analysis showed that NCAPs and their interacting genes were mainly enriched in organelle fission for biological processes (BP), spindle for cellular component (CC), tubulin binding for molecular function (MF), and 'Cell cycle' pathway.

methodsWe explored the expression of NCAP family members by ONCOMINE, and GEPIA databases. Additionally, the prognostic value of NCAP family genes in sarcoma was detected by Kaplan-Meier Plotter and GEPIA databases. Moreover, we explored the relationship between NCAP family gene expression level and immune infiltration using the TIMER database. Finally, we performed GO and KEGG analysis for NCAPs-related genes by DAVID database.

conclusionThe six members of NCAP gene family can be used as biomarkers to predict the prognosis of sarcoma. They were also correlated with the low immune infiltration in sarcoma.

Indexed as

SarcomaCD4-Positive T-LymphocytesCell CycleFamilyHumansPrognosisexpressionimmune infiltrationNCAP family genesprognosissarcoma

Identifiers

PMID37192046
PMCPMC10258000
OpenAlexW4376871083

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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.