&lt;p&gt;Up-regulation of CKAP2L expression promotes lung adenocarcinoma invasion and is associated with poor prognosis&lt;/p&gt;

Xiong, Guosheng; Li-yin, LI; Chen, Xiaobo; S, Song; Zhao, Yunping; Cai, Wen-Ke; Jing-ping, Peng

doi:10.2147/ott.s182242

Cited by 22 publications

(22 citation statements)

References 24 publications

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“…According to the published literature, little is known about the role of CKAP2L in tumor development and proliferation. A recent paper reports high expression of CKAP2L, which induces the invasion of lung adenocarcinoma by the MAPK signaling pathway, and shows correlation with poor prognosis ( Xiong et al, 2019 ). Furthermore, CKAP2 acts as a significant paralog of CKAP2L, and the oncogenic nature and overexpression of this gene is revealed in PCa ( Yu et al, 2015 ), ovarian cancer ( Gao et al, 2017 ), and glioma ( Wang et al, 2018 ).…”

Section: Discussionmentioning

confidence: 99%

Four Novel Prognostic Genes Related to Prostate Cancer Identified Using Co-expression Structure Network Analysis

Feng

Wei

et al. 2021

Front. Genet.

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Prostate cancer (PCa) is one of the most common malignancies for males, but very little is known about its pathogenesis. This study aimed to identify novel biomarkers associated with PCa prognosis and elucidate the underlying molecular mechanism. First, The Cancer Genome Atlas (TCGA) RNA-sequencing data were utilized to identify differentially expressed genes (DEGs) between tumor and normal samples. The DEGs were then applied to construct a co-expression and mined using structure network analysis. The magenta module that was highly related to the Gleason score (r = 0.46, p = 3e–26) and tumor stage (r = 0.38, p = 2e–17) was screened. Subsequently, all genes of the magenta module underwent function annotation. From the key module, CCNA2, CKAP2L, NCAPG, and NUSAP1 were chosen as the four candidate genes. Finally, internal (TCGA) and external data sets (GSE32571, GSE70770, and GSE141551) were combined to validate and predict the value of real hub genes. The results show that the above genes are up-regulated in PCa samples, and higher expression levels show significant association with higher Gleason scores and tumor T stage. Moreover, receiver operating characteristic curve and survival analysis validate the excellent value of hub genes in PCa progression and prognosis. In addition, the protein levels of these four genes also remain higher in tumor tissues when compared with normal tissues. Gene set enrichment analysis and gene set variation analysis for a single gene reveal the close relation with cell proliferation. Meanwhile, 11 small molecular drugs that have the potential to treat PCa were also screened. In conclusion, our research identified four potential prognostic genes and several candidate molecular drugs for treating PCa.

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Section: Discussionmentioning

confidence: 99%

Four Novel Prognostic Genes Related to Prostate Cancer Identified Using Co-expression Structure Network Analysis

Feng

Wei

et al. 2021

Front. Genet.

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“…Besides, CKAP2L has been proved to be a vital component of centrosome and is situated in the spindle, the midbody and the spindle pole . A recent study revealed that high expression of CKAP2L promoted the invasion of lung cancer through MAPK signalling pathway and was associated with poor prognosis . In addition, the oncogenic nature of CKAP2, which is an important paralog of CKAP2L, has also been illustrated in ovarian cancer, glioma and breast cancer .…”

Section: Discussionmentioning

confidence: 99%

Development and validation of hub genes for lymph node metastasis in patients with prostate cancer

Chen

Lin

et al. 2020

J Cellular Molecular Medi

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| INTRODUC TI ONProstate cancer (PCa) is the fifth principal cause of death and also the second most frequent cancer in males all over the world. 1 More than 15% of PCa patients harbour lymph node metastasis at radical prostatectomy. 2 Lymph node metastasis is a complicated process in which cancer cells leave the primary tumour site through the lymphatic system and then establish a secondary tumour site in lymph nodes. 3 These individuals have a higher risk of recurrence after primary treatment and usually suffer a poor prognosis. 4 Therefore, predicting the occurrence of lymph node metastasis is of vital clinical significance. At the present day, several nomograms and indexes AbstractLymph node metastasis is one of the most important independent risk factors that can negatively affect the prognosis of prostate cancer (PCa); however, the exact mechanisms have not been well studied. This study aims to better understand the underlying mechanism of lymph node metastasis in PCa by bioinformatics analysis.We analysed a total of 367 PCa cases from the cancer genome atlas database and performed weighted gene co-expression network analysis to explore some modules related to lymph node metastasis. Gene Ontology analysis and pathway enrichment analysis were conducted for functional annotation, and a protein-protein interaction network was built. Samples from the International Cancer Genomics Consortium database were used as a validation set. The turquoise module showed the most relevance with lymph node metastasis. Functional annotation showed that biological processes and pathways were mainly related to activation of the processes of cell cycle and mitosis. Four hub genes were selected: CKAP2L, CDCA8, ERCC6L and ARPC1A. Further validation showed that the four hub genes well-distinguished tumour and normal tissues, and they were good biomarkers for lymph node metastasis of PCa. In conclusion, the identified hub genes facilitate our knowledge of the underlying molecular mechanism for lymph node metastasis of PCa. K E Y W O R D Shub genes, lymph node metastasis, prostate cancer, weighted gene co-expression network analysis

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“…e high expression of CKAP2L in lung adenocarcinoma was found to be associated with the tumor stage, lymph node status, and metastasis. It has been reported that CKAP2L may act on the proliferation, migration, and invasion of lung adenocarcinoma cells through mitogen-activated protein kinase (MAPK) signaling pathway [26], but its role in other tumors has yet to be fully studied. To our knowledge, the present study provided the first demonstration that CKAP2L may be related to PCPG metastasis.…”

Section: Discussionmentioning

confidence: 99%

Identification of Genes Associated with the Metastasis of Pheochromocytoma/Paraganglioma Based on Weighted Gene Coexpression Network Analysis

Ding

Zhang

et al. 2020

BioMed Research International

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Background. Pheochromocytoma/paraganglioma (PCPG) is a benign neuroendocrine neoplasm in most cases, but metastasis and other malignant behaviors can be observed in this tumor. The aim of this study was to identify genes associated with the metastasis of PCPG. Methods. The Cancer Genome Atlas (TCGA) expression profile data and clinical information were downloaded from the cbioportal, and the weighted gene coexpression network analysis (WGCNA) was conducted. The gene coexpression modules were extracted from the network through the WGCNA package of R software. We further extracted metastasis-related modules of PCPG. Enrichment analysis of Biological Process of Gene Ontology and Kyoto Encyclopedia of Genes and Genomes was carried out for important modules, and survival analysis of hub genes in the modules was performed. Results. A total of 168 PCPG samples were included in this study. The weighted gene coexpression network was constructed with 5125 genes of the top 25% variance among the 20501 genes obtained from the database. We identified 11 coexpression modules, among which the salmon module was associated with the age of PCPG patients at diagnosis, metastasis, and malignancy of the tumors. Conclusion. WGCNA was performed to identify the gene coexpression modules and hub genes in the metastasis-related gene module of PCPG. The findings in this study provide a new clue for further study of the mechanisms underlying the PCPG metastasis.

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<p>Up-regulation of CKAP2L expression promotes lung adenocarcinoma invasion and is associated with poor prognosis</p>

Cited by 22 publications

References 24 publications

Four Novel Prognostic Genes Related to Prostate Cancer Identified Using Co-expression Structure Network Analysis

Four Novel Prognostic Genes Related to Prostate Cancer Identified Using Co-expression Structure Network Analysis

Development and validation of hub genes for lymph node metastasis in patients with prostate cancer

Identification of Genes Associated with the Metastasis of Pheochromocytoma/Paraganglioma Based on Weighted Gene Coexpression Network Analysis

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