High expression of ASPM correlates with tumor progression and predicts poor outcome in patients with prostate cancer

Xie, Jianjiang; Zhuo, Yangjia; Zheng, Yu; Mo, Rujun; Liu, Zezhen; Li, Bowei; Cai, Zhiduan; Zhu, Xinwen; Liang, Yu‐Xiang; He, Hui‐Chan; Zhong, Weide

doi:10.1007/s11255-017-1545-7

Cited by 46 publications

(44 citation statements)

References 24 publications

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“…e purpose of this study was to assess the critical role that ASPM plays in the development of cancer and determine whether it can be used as a biomarker for bladder cancer. Recent literature reports that ASPM expression disorders are associated with the progression of epithelial ovarian cancer [36], colorectal cancer [37], prostate cancer [38], and hepatocellular carcinoma [39]. Consistent with our research, increased expression of ASPM in bladder cancer patients is associated with poor prognosis [40].…”

Section: Discussionsupporting

confidence: 91%

Screening and Identification of Key Biomarkers for Bladder Cancer: A Study Based on TCGA and GEO Data

et al. 2020

BioMed Research International

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Bladder cancer (BLCA) is a common malignant cancer, and it is the most common genitourinary cancer in the world. The recurrence rate is the highest of all cancers, and the treatment of BLCA has only slightly improved over the past 30 years. Genetic and environmental factors play an important role in the development and progression of BLCA. However, the mechanism of cancer development remains to be proven. Therefore, the identification of potential oncogenes is urgent for developing new therapeutic directions and designing novel biomarkers for the diagnosis and prognosis of BLCA. Based on this need, we screened overlapping differentially expressed genes (DEG) from the GSE7476, GSE13507, and TCGA BLCA datasets. To identify the central genes from these DEGs, we performed a protein-protein interaction network analysis. To investigate the role of DEGs and the underlying mechanisms in BLCA, we performed Gene Ontology (GO) and Kyoto Gene and Genomic Encyclopedia (KEGG) analysis; we identified the hub genes via different evaluation methods in cytoHubba and then selected the target genes by performing survival analysis. Finally, the relationship between these target genes and tumour immunity was analysed to explore the roles of these genes. In summary, our current studies indicate that both cell division cycle 20 (CDC20) and abnormal spindle microtubule assembly (ASPM) genes are potential prognostic biomarkers for BLCA. It may also be a potential immunotherapeutic target with future clinical significance.

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Section: Discussionsupporting

confidence: 91%

Screening and Identification of Key Biomarkers for Bladder Cancer: A Study Based on TCGA and GEO Data

et al. 2020

BioMed Research International

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“…Previous studies have prevailingly focused on the relationship between ASPM gene mutations and autosomal recessive primary microcephaly and abnormal neuronal differentiation [44] . Nevertheless, except for its role in normal physiological regulatory functions, recent studies have also found that the upregulation of ASPM promotes the metastasis of tumors, including prostate cancer, endometrial cancer, melanomas, bladder cancer, clear cell renal cell carcinoma [45][46][47][48][49] . Pai et al [50] previously pointed out that overexpression of ASPM has energetically in uence on prostate cancer cell proliferation and invasion, as it could enhance the Wnt-induced βcatenin transcriptional activity through interacting with disheveled-3, which is a cardinal upstream regulator of Wnt signaling.…”

Section: Discussionmentioning

confidence: 99%

Identification of key biomarkers and functional pathways in osteosarcomas with lung metastasis: Evidence from bioinformatics analysis

Liu

Zhou

2020

Preprint

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Background: In osteosarcoma, the lung is the most common metastatic organ. Intensive work has been made to illuminate the pathogeny, but the specific metastatic mechanism remains unclear. Thus, we conducted the study to seek to find the key genes and critical functional pathways associated with progression and treatment in osteosarcoma with lung metastasis.Methods: Two independent datasets (GSE14359 and GSE85537) were screened out from the Gene Expression Omnibus (GEO) database and the overlapping differentially expressed genes (DEGs) were identified using GEO2R online platform. Subsequently, the Gene Ontology (GO) annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways enrichment analysis of DEGs were conducted using DAVID. Meanwhile, the protein-protein interaction (PPI) network constructed by STRING was visualized using Cytoscape. Afterwards, the key module and hub genes were extracted from the PPI network using the MCODE and cytoHubba plugin. Moreover, the raw data obtained from GSE73166 and GSE21257 was applied to verify the expression differences and conduct the survival analyses of hub genes, respectively. Finally, the interaction network of miRNAs and hub genes constructed by ENCORI was visualized using Cytoscape.Results: A total of 364 DEGs were identified, comprising 96 downregulated genes and 268 upregulated genes, which were mainly involved in cancer-associated pathways, adherens junction, ECM-receptor interaction, focal adhesion, MAPK signaling pathway. Subsequently, 10 hub genes were obtained and survival analysis demonstrated SKP2 and ASPM were closely related to poor prognosis of patients with osteosarcoma. Finally, hsa-miR-340-5p were found to be most closely associated with these hub genes according to the interaction network of miRNAs and hub genes.Conclusion: The key genes and functional pathways identified in the study may contribute to understanding the molecular mechanisms involved in the carcinogenesis and progression of osteosarcoma with lung metastasis, and provide potential diagnostic and therapeutic targets.

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“…ASPM is known for its role in spindle microtubule organization in cell division (53). The high expression of ASPM was also observed in several other cancers such as bladder cancer (54), hepatocellular carcinoma (55), gliomas (56), ovarian cancer (57) and prostrate cancer (58) where the increase in expression was mostly associated with tumour grade, early recurrence, tumour metastasis and worse survival. Moreover, knockdown of ASPM in pancreatic cancer cell lines reduced cell proliferation and migration (59).…”

Section: Discussionmentioning

confidence: 96%

“…This analysis identi ed 4709 CNV segments in IDCs when compared to NAT, with 65% associated with gains and 35% with losses (Table S1). Similarly, in LNmets, a total of 1725 CNV segments were identi ed with 58.9% associated with gains and 41.1% losses (Table S2), which were not present in NATs. All CNV segments ranged from more than one kilobase to several megabases in size.…”

Section: Cnvs In Idcs and Lnmets Compared To Nat Samplesmentioning

confidence: 99%

Copy Number Variation in Triple Negative Breast Cancer Samples Associated with Lymph Node Metastasis

Pariyar

Johns²,

Thorne³

et al. 2020

Preprint

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BackgroundTriple negative breast cancer (TNBC) is a highly metastatic and aggressive subtype of breast cancer and cases presenting with lymph node involvement have worse outcomes. This study aimed to determine the regions of copy number variation (CNV) associated with lymph node metastasis in TNBC patients. MethodsCNV analyses were performed in a study cohort of 23 invasive ductal carcinomas (IDC), 12 lymph node metastases (LNmets) and 7 normal adjacent tissues (NAT); as well as in a second cohort containing 70 TNBC IDC samples and the same 7 NATs. CNVs associated genes were analysed using GO-enrichment and Pathway analysis and also integrated with gene expression analysis. The prognostic role for genes showing CNV based change in mRNA expression was determined using Kaplan-Meier (KM) plotter database. ResultsFor the IDCs, frequent amplification was evident in chromosomal regions 8q, 1q, 2(p and q), 3q24, 10p and 12p and deletion in 3p, 4 (p and q), 5q, 14q and 17p in contrast to LNmets showing frequent amplification of 4q, 2p, 3q24, 1q, 10p, 12p, 8q, 20p, 21q and 6p and deletion in 1p, 4q (4q21.1, 4q26) and 5q. A total of 686 (441 amplified and 245 deleted) genes were associated with lymph node metastasis. The LNmet-associated genes were highly enriched for “regulation of complement activation”, “regulation of protein activation cascade”, “regulation of humoral immune response”, “oxytocin signalling pathway” and “trail binding” pathways. Moreover, 6/686 LNmet-associated genes showed CNV-based changes in their mRNA expression of which, high expression of ASPM and KIF14 was significantly associated with worse relapse free survival.ConclusionThis study has identified several CNV regions in TNBC that could play a major role in metastasis to the lymph node.

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High expression of ASPM correlates with tumor progression and predicts poor outcome in patients with prostate cancer

Abstract: Our data suggest that ASPM may play an important role in the progression of PCa. More importantly, the increased expression of ASPM may potentially predict poor BCR-free survival in patients with PCa.

Cited by 46 publications

References 24 publications

Screening and Identification of Key Biomarkers for Bladder Cancer: A Study Based on TCGA and GEO Data

Screening and Identification of Key Biomarkers for Bladder Cancer: A Study Based on TCGA and GEO Data

Identification of key biomarkers and functional pathways in osteosarcomas with lung metastasis: Evidence from bioinformatics analysis

Copy Number Variation in Triple Negative Breast Cancer Samples Associated with Lymph Node Metastasis

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