Evidence map›Paper›PMID 35340220›Full record

ArticleOxidative medicine and cellular longevity2022

Comprehensive Analysis of ANLN in Human Tumors: A Prognostic Biomarker Associated with Cancer Immunity.

Xiaoyu Zhang, Lin Li, Shaozhuo Huang, Weixin Liao, Jing Li, Zexuan Huang, Yuehua Huang, Yifan Lian

Open access · hybridAbstract read
In one paragraph

Article in Oxidative medicine and cellular longevity, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.5field-weighted citation impact, top 16% 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

13 citing papers in PubMed, 17 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 1 institution in 1 country.

Xiaoyu ZhangDepartment of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.ORCID https://orcid.org/0000-0002-1561-5273
Lin LiDepartment of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Shaozhuo HuangDepartment of General Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Weixin LiaoDepartment of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.ORCID https://orcid.org/0000-0001-5272-1510
Jing LiGuangdong Provincial Key Laboratory of Liver Disease Research, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Zexuan HuangGuangdong Provincial Key Laboratory of Liver Disease Research, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Yuehua HuangDepartment of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.ORCID https://orcid.org/0000-0002-0982-3551
Yifan LianGuangdong Provincial Key Laboratory of Liver Disease Research, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.ORCID https://orcid.org/0000-0002-1343-0902
Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Anillin (ANLN), a ubiquitously expressed actin-binding protein, plays a critical tumor-promoting role in cell growth, migration, and cytokinesis. Numerous studies have suggested that ANLN is upregulated in many cancer types, as well as significantly associated with patient prognosis and malignant cancer characteristics. Herein, we performed an integrated pan-cancer analysis of ANLN and highlighted its underlying mechanism, which may benefit further exploration of the potential therapeutic options for cancer. Methods: ANLN expression data were extracted from online databases, including TCGA, GTEx, and CCLE databases. The TIMER database was used to study the association between ANLN expression with immune checkpoint genes and immunocyte infiltration. The ScanNeo pipeline was adopted for neoantigen discovery. KEGG analysis and the STRING tool were used to elucidate the potential mechanism of ANLN in cancer development. Results: ANLN is abnormally overexpressed in almost all cancer tissues compared with normal tissues. The high-ANLN expression level was positively associated with various malignant characteristics, suggesting its potential role in the immune microenvironment and poor prognosis. In addition, ANLN expression was correlated with the number of neoantigens and different phosphorylation pattern in various cancer types, revealing a functional role of genetic mutation accumulation and high phosphorylation in ANLN-mediated oncogenesis. Moreover, we found that ANLN was an important regulatory factor participating in many signaling events, especially the cell cycle and nucleocytoplasmic transport pathways. Conclusions: ANLN expression is generally overexpressed in various types of cancers, and it may have an important influence on tumor progression and development. ANLN expression is significantly associated with the immune checkpoint biomarkers and tumor immunity. Together, these findings suggest that ANLN may be a predictive marker for patient prognosis across cancers.

Indexed as

Gene Expression Regulation, NeoplasticMicrofilament ProteinsCell Transformation, NeoplasticContractile ProteinsHumansPrognosisTumor MicroenvironmentanillinANLN protein, humanContractile ProteinsMicrofilament Proteins

Identifiers

PMID35340220
PMCPMC8947880
OpenAlexW4220973353

What Socratic 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 Socratic graph.