Correction: ASPM promotes prostate cancer stemness and progression by augmenting Wnt−Dvl-3−β-catenin signaling

Pai, Vincent C.; Hsu, Chung Chi; Chan, Tze Sian; Liao, Wen; Chuu, Chih‐Pin; Chen, Weiyan; Li, Chi–Rong; Lin, Ching Yu; Huang, Shu Pin; Chen, Li Tzong; Tsai, Kelvin K.

doi:10.1038/s41388-018-0561-0

Cited by 8 publications

(5 citation statements)

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“…In addition, extensive studies have shown that ASPM was highly expressed in cancer and participated in promoting the development of diverse cancers, such as diffuse large B-cell lymphoma, 21 bladder 22 glioblastoma, 19 and prostate cancer. 23 Consistent with previous reports, we found that ASPM was highly expressed in LIHC tissues and could facilitate LIHC cells proliferation, migration, and invasion.…”

Section: Discussionsupporting

confidence: 92%

METTL3‐mediated m6A methylation of ASPM drives hepatocellular carcinoma cells growth and metastasis

Wang

Chen

et al. 2021

Clinical Laboratory Analysis

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Background Abnormal spindle‐like microcephaly (ASPM) has been proved to participate in tumor progression. However, the underlying mechanism of ASPM in liver hepatocellular carcinoma (LIHC) remains elusive. Methods The mRNA and protein expression were determined using Western blot and qRT‐PCR, and the capacities of cells proliferation, migration, and invasion were evaluated by CCK‐8, colony formation, wound healing, and transwell. MeRIP was performed to validate the interaction between ASPM and methyltransferase‐like 3 (METTL3). Results Herein, we found that ASPM was significantly upregulated in LIHC, and the high expression of ASPM was associated with poor LIHC prognosis. Furthermore, ASPM knockdown could suppress LIHC cells proliferation, migration, and invasion, while ASPM overexpression exerted reverse effect. Mechanistically, we revealed that the N6‐methyladenosine (m6A) modification of ASPM mRNA mediated by METTL3 promoted its expression in LIHC. More importantly, silencing METTL3 suppressed LIHC cells proliferation, migration, and invasion, which could be retained by ASPM overexpression. Conclusion Collectively, our findings suggested that METTL3/ASPM axis could serve as a novel promising therapeutic candidate for LIHC.

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Section: Discussionsupporting

confidence: 92%

METTL3‐mediated m6A methylation of ASPM drives hepatocellular carcinoma cells growth and metastasis

Wang

Chen

et al. 2021

Clinical Laboratory Analysis

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“…Previous studies had reported the suppressive effect in cancer stemness and tumorigenicity when downregulation the expression of ASPM in prostate cancer. 28 Consistently, we found the lower expression of ASPM was correlated with better OS and PFI in SARC. It is well acknowledged that the expression of CCNB2 is closely related to the cell cycle pathway.…”

Section: Discussionsupporting

confidence: 74%

Bioinformatics Analysis Identified Five Widely Expressed Genes Associated with Prognosis in Sarcoma

Tu¹,

Jia²,

Qian³

2022

IJGM

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Background Human sarcomas (SARC) are a group of malignant tumors that originated from mesenchymal lineages with more than 60 subtypes. However, potential biomarkers for the diagnosis and prognosis of SARC remain to be investigated. Methods We obtained three GSE raw matrix files (GSE39262, GSE21122, GSE48418) that related to various subtypes of sarcoma from the public GEO database and explored the widely differential expression genes in three obtained GSE files. Then common differential expression genes (CDGEs) were identified. We analyzed the correlation between the expression of the top five interacted genes of CDEGs and genome-wide differences, prognosis, genetic mutation, functional enrichment, immune infiltration, immune checkpoint, and marker genes’ expression of N6-methyladenosine (m 6 A) modification in SARC patients. Besides, a prognostic nomogram was constructed to predict the survival of SARC patients. Results Among the three GSE files, 42 CDGEs were identified, and the top five interacted genes were ASPM, CCNB2, PRC1, AURKA, and SCM2. The expression levels of the five genes were higher in the SARC group than that in the normal group. The transcriptional level of CCNB2, PRC, and SCM2 was correlated to the worse survival of SARC. The constructed nomogram that combined CNB2, PRC1, and SCM2 showed a fairly good incredibility in predicting the survival of SARC (C-index: 0.711). Furthermore, the five genes were widely involved in immune infiltration, immune checkpoint, and m 6 A modification. In addition, we found a minor survival-related mutation rate (9%) of the five identified genes in SARC patients (p < 0.05). Conclusion The results suggested the five identified genes widely participated in the prognosis, immune infiltration, immune checkpoint, and m 6 A modification of SARC patients. This study provided a theoretical basis for the research about the correlation between the level of five identified genes and sarcoma, but the further mechanism needs to be verified by experiments.

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“…Overexpression of ASPM correlated with the presence of tumor metastasis, and was significantly associated with a worse prognosis (25). ASPM enhances proliferation, colony formation, and the invasive capabilities of prostate cancer cells via Wnt signaling pathway by interaction with disheveled-3 (26).…”

Section: Discussionmentioning

confidence: 99%

Overexpression of ASPM, CDC20, and TTK Confer a Poorer Prognosis in Breast Cancer Identified by Gene Co-expression Network Analysis

et al. 2019

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Breast cancer is one of the most common malignancies among females, and its prognosis is affected by a complex network of gene interactions. In this study, we constructed free-scale gene co-expression networks using weighted gene co-expression network analysis (WGCNA). The gene expression profiles of GSE25055 were downloaded from the Gene Expression Omnibus (GEO) database to identify potential biomarkers associated with breast cancer progression. GSE42568 was downloaded for validation. A total of 9 modules were established via the average linkage hierarchical clustering. We identified 3 hub genes (ASPM, CDC20, and TTK) in the significant module ( R 2 = 0.52), which were significantly correlated with poor prognosis both in test and validation datasets. In the datasets GSE25055 and GSE42568, higher expression levels of ASPM, CDC20, and TTK correlated with advanced tumor grades. Immunohistochemistry data from the Human Protein Atlas also demonstrated that their protein levels were higher in tumor samples. According to gene set enrichment analysis, 4 commonly enriched pathways were identified: cell cycle pathway, DNA replication pathway, homologous recombination pathway, and P53 signaling pathway. In addition, strong correlations were found among their expression levels. In conclusion, our WGCNA analysis identified candidate prognostic biomarkers for further basic and clinical researches.

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Correction: ASPM promotes prostate cancer stemness and progression by augmenting Wnt−Dvl-3−β-catenin signaling

Cited by 8 publications

References 0 publications

METTL3‐mediated m6A methylation of ASPM drives hepatocellular carcinoma cells growth and metastasis

METTL3‐mediated m6A methylation of ASPM drives hepatocellular carcinoma cells growth and metastasis

Bioinformatics Analysis Identified Five Widely Expressed Genes Associated with Prognosis in Sarcoma

Overexpression of ASPM, CDC20, and TTK Confer a Poorer Prognosis in Breast Cancer Identified by Gene Co-expression Network Analysis

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