Evidence map›Paper›PMID 34472004›Full record

ArticleJournal of cancer research and clinical oncology2021

Regulation of prognosis-related Siglecs in the glioma microenvironment.

Rui Mao, Liting Zhou, Yong Yang, Peng Wang, Han Lin, Jiantao Zheng, Guangzhao Lv, Dong Zhou

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of cancer research and clinical oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.2field-weighted citation impact, top 47% 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

6 citing papers in PubMed, 5 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Rui MaoSchool of Medicine, South China University of Technology, Guangzhou, 510006, China.
Liting ZhouInternational Department, Affiliated High School of South China Normal University, Guangzhou, China.
Yong YangDepartment of Neurosurgery, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, No. 106, Zhongshan Second Road, Guangzhou, 510080, Guangdong, People's Republic of China.
Peng WangDepartment of Neurosurgery, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, No. 106, Zhongshan Second Road, Guangzhou, 510080, Guangdong, People's Republic of China.
Han LinDepartment of Neurosurgery, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, No. 106, Zhongshan Second Road, Guangzhou, 510080, Guangdong, People's Republic of China.
Jiantao ZhengSchool of Medicine, South China University of Technology, Guangzhou, 510006, China.
Guangzhao LvDepartment of Neurosurgery, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, No. 106, Zhongshan Second Road, Guangzhou, 510080, Guangdong, People's Republic of China.
Dong ZhouSchool of Medicine, South China University of Technology, Guangzhou, 510006, China. zhoudong5413@163.com.ORCID http://orcid.org/0000-0002-3289-2168
Guangdong Academy of Medical Sciences · CNSouth China Normal University · CN

Funding

High-level Hospital Construction Project of Guangdong Province of China NO.DFJH201924National Natural Science Foundation of China NO.81901250Natural Science Foundation of Guangdong Province NO.2018A0303130236
6 · The paper itself

Abstract

purposeThe anti-inflammatory environment of glioma reduces the efficacy of immunotherapies. Therefore, it is vital to transform the immunosuppressive microenvironment of glioma into a pro-inflammatory environment. Sialic acid-binding immunoglobulin-type lectins (Siglecs) can serve as immune checkpoint targets that enhance the anti-tumor immune response. However, the roles of Siglecs in the glioma microenvironment are unknown. This study was conducted to identify targets to inhibit the anti-inflammatory environment to improve therapeutic outcomes in patients with glioma.

methodsWe analyzed the regulatory effect of prognosis-related Siglecs identified from data available in The Cancer Genome Atlas database (TCGA) and China Glioma Genome Atlas Data portal on the immunosuppressive microenvironment of glioma. The effects of prognosis-related Siglecs on the glioma microenvironment were investigated by determining the Pearson correlation coefficients of the Siglecs in transcriptome data from the TCGA database.

resultsSiglec-1, -9, -10, and -14 were closely associated with the prognosis of patients with glioma. The expression of these four Siglecs was significantly increased in the high-risk group and positively correlated with anti-inflammatory cytokine levels in the glioma microenvironment.

conclusionOur study provides insights into the effects of prognosis-related Siglecs in glioma immunotherapy, suggesting that targeted prognosis-related Siglecs can modify the microenvironment of glioma and improve the sensitivity of patients with glioma to immunotherapy.

Indexed as

Brain NeoplasmsGliomaHumansMacrophagesNomogramsPrognosisProportional Hazards ModelsRiskSialic Acid Binding Immunoglobulin-like LectinsTranscriptomeTumor MicroenvironmentSialic Acid Binding Immunoglobulin-like LectinsAnti-inflammatoryGliomaMicroenvironmentSiglec

Identifiers

PMID34472004
PMCPMC11998600
OpenAlexW3197631608

What OpenQuestion holds

Textmetadata
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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.