Role of Anillin in Tumour: From a Prognostic Biomarker to a Novel Target

Tuan, Nguyen Minh; Lee, Chang Hoon

doi:10.3390/cancers12061600

Cited by 43 publications

(39 citation statements)

References 182 publications

(354 reference statements)

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“…However, how E2F7 participates in LUAD is still unknown. The ANLN gene encodes an actin-binding protein that contributes to cell growth and migration [ 43 ]. The expression of ANLN is up-regulated in a variety of types of tumors, including lung cancer, and the development of cancers is related to the expression level of ANLN [ 44 ].…”

Section: Discussionmentioning

confidence: 99%

Characteristic of molecular subtypes in lung adenocarcinoma based on m6A RNA methylation modification and immune microenvironment

et al. 2021

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Background Lung adenocarcinoma (LUAD) is a major subtype of lung cancer and closely associated with poor prognosis. N6-methyladenosine (m6A), one of the most predominant modifications in mRNAs, is found to participate in tumorigenesis. However, the potential function of m6A RNA methylation in the tumor immune microenvironment is still murky. Methods The gene expression profile cohort and its corresponding clinical data of LUAD patients were downloaded from TCGA database and GEO database. Based on the expression of 21 m6A regulators, we identified two distinct subgroups by consensus clustering. The single-sample gene-set enrichment analysis (ssGSEA) algorithm was conducted to quantify the relative abundance of the fraction of 28 immune cell types. The prognostic model was constructed by Lasso Cox regression. Survival analysis and receiver operating characteristic (ROC) curves were used to evaluate the prognostic model. Result Consensus classification separated the patients into two clusters (clusters 1 and 2). Those patients in cluster 1 showed a better prognosis and were related to higher immune scores and more immune cell infiltration. Subsequently, 457 differentially expressed genes (DEGs) between the two clusters were identified, and then a seven-gene prognostic model was constricted. The survival analysis showed poor prognosis in patients with high-risk score. The ROC curve confirmed the predictive accuracy of this prognostic risk signature. Besides, further analysis indicated that there were significant differences between the high-risk and low-risk groups in stages, status, clustering subtypes, and immunoscore. Low-risk group was related to higher immune score, more immune cell infiltration, and lower clinical stages. Moreover, multivariate analysis revealed that this prognostic model might be a powerful prognostic predictor for LUAD. Ultimately, the efficacy of this prognostic model was successfully validated in several external cohorts (GSE30219, GSE50081 and GSE72094). Conclusion Our study provides a robust signature for predicting patients’ prognosis, which might be helpful for therapeutic strategies discovery of LUAD.

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Section: Discussionmentioning

confidence: 99%

Characteristic of molecular subtypes in lung adenocarcinoma based on m6A RNA methylation modification and immune microenvironment

et al. 2021

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“…Targeting this multifunctional protein may be an effective treatment to prevent breast cancer recurrence 45 . ANLN is an actin binding protein that is reported to play a vital role in cell proliferation and migration, especially in cytokinesis 46 . ANLN is highly expressed in a variety of cancers and promotes the development of cancer 47 .…”

Section: Discussionmentioning

confidence: 99%

The nomogram based on the 6-lncRNA model can promote the prognosis prediction of patients with breast invasive carcinoma

Luo

Yao

Wang

et al. 2021

Sci Rep

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Long non-coding RNA (lncRNA) is a prognostic biomarker for many types of cancer. Here, we aimed to study the prognostic value of lncRNA in Breast Invasive Carcinoma (BRCA). We downloaded expression profiles from The Cancer Genome Atlas (TCGA) datasets. Subsequently, we screened the differentially expressed genes between normal tissues and tumor tissues. Univariate Cox, LASSO regression, and multivariate Cox regression analysis were used to construct a lncRNA prognostic model. Finally, a nomogram based on the lncRNAs model was developed, and weighted gene co-expression network analysis (WGCNA) was used to predict mRNAs related to the model, and to perform function and pathway enrichment. We constructed a 6-lncRNA prognostic model. Univariate and multivariate Cox regression analysis showed that the 6-lncRNA model could be used as an independent prognostic factor for BRCA patients. We developed a nomogram based on the lncRNAs model and age, and showed good performance in predicting the survival rates of BRCA patients. Also, functional pathway enrichment analysis showed that genes related to the model were enriched in cell cycle-related pathways. Tumor immune infiltration analysis showed that the types of immune cells and their expression levels in the high-risk group were significantly different from those in the low-risk group. In general, the 6-lncRNA prognostic model and nomogram could be used as a practical and reliable prognostic tool for invasive breast cancer.

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“…Anilin actin binding protein (ANLN) which is located on chromosome 7p14.2 and encodes an actinbinding protein containing 1125 amino acids, has been identi ed to play a vital role in actin cytoskeletal dynamics [6][7][8]. Increasing studies have shown that ANLN is highly expressed in multiple cancers, including breast cancer, ovarian cancer, kidney cancer, colorectal cancer, hepatocellular carcinoma, lung cancer, and pancreatic tumors [9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Alternatively Spliced ANLN Isoforms Synergistically Contribute To The Progression of Head and Neck Squamous Cell Carcinoma

Guo

Mao

Guo

et al. 2021

Preprint

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Background: Head and neck squamous cell carcinoma (HNSCC) is a common cancer with high mortality. Anilin actin binding protein (ANLN) has been reported to be associated with carcinogenesis in multiple tumors. However, the expression pattern and functional effects of ANLN in HNSCC remains to be unclear.Methods: Expression of two major splice variants of ANLN was assessed in HNSCC tissues and cell lines. The functional effects and related mechanisms of ANLN isoforms were investigated in HNSCC in vitro and in vivo.Results: Our results showed that the two primary isoforms of ANLN transcripts ANLN-201 and ANLN-210 were highly expressed in HNSCC tissues and cell lines. Knockout of ANLN restrained cell proliferation, migration and invasion of SCC-9 cells. Mechanically, ANLN-201 could interact with c-Myc to keep its protein stability, thereby playing a oncogenic role in HNSCC. ANLN-210 could be transferred to macrophages via exosomes by binding to RNA binding protein hnRNPC. Exosomal ANLN-210 promoted macrophage polarization via PTEN/PI3K/Akt signaling pathway, thus stimulating tumor growth of HNSCC.Conclusions: Our findings demonstrate that alternatively spliced ANLN isoforms collaboratively promote HNSCC tumorigenesis in vitro and in vivo, which might provide the in-depth role and mechanism of ANLN in HNSCC development.

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Role of Anillin in Tumour: From a Prognostic Biomarker to a Novel Target

Cited by 43 publications

References 182 publications

Characteristic of molecular subtypes in lung adenocarcinoma based on m6A RNA methylation modification and immune microenvironment

Characteristic of molecular subtypes in lung adenocarcinoma based on m6A RNA methylation modification and immune microenvironment

The nomogram based on the 6-lncRNA model can promote the prognosis prediction of patients with breast invasive carcinoma

Alternatively Spliced ANLN Isoforms Synergistically Contribute To The Progression of Head and Neck Squamous Cell Carcinoma

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