ERCC6L promotes cell growth and invasion in human colorectal cancer

Xie, Yang; Yu, Jun; Wang, Feng; Li, Mengying; Xiao, Qiu; Liu, Yuting; Qi, Jian

doi:10.3892/ol.2019.10297

Cited by 16 publications

(20 citation statements)

References 38 publications

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“…Interestingly, a newly published article using siRNA to reduce the expression of ERCC6L has a significant inhibitory effect on the proliferation and colony formation of CRC cells. 41 These results suggest that ERCC6L can promote the growth and invasion of CRC cell. It further validates our analysis and shows that the use of bioinformatics for cancer analysis is very fast and effective.…”

Section: Discussionmentioning

confidence: 77%

“…In this study, the bioinformatics analysis of ERCC6L may play an important role in the occurrence and development of CRC. Interestingly, a newly published article using siRNA to reduce the expression of ERCC6L has a significant inhibitory effect on the proliferation and colony formation of CRC cells 41 . These results suggest that ERCC6L can promote the growth and invasion of CRC cell.…”

Section: Discussionmentioning

confidence: 95%

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Identification of potential hub genes via bioinformatics analysis combined with experimental verification in colorectal cancer

Zhou

Yang

Yue

et al. 2020

Molecular Carcinogenesis

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Colorectal cancer (CRC) is a kind of malignant cancer with high morbidity and mortality. The purpose of this study was to explore potential regulated key genes involved in CRC through bioinformatics analysis and experimental verification. The gene expression profile data were downloaded from the Gene Expression Omnibus, and the differential expression genes were detected in cancerous and paracancerous samples of CRC patients, respectively. Then functional enrichment analysis, such as the Kyoto Encyclopedia of Genes and Genomes pathway analysis as well as the protein‐protein interaction network were constructed, and the highly related genes were clustered by Molecular COmplex DEtection algorithm to find out the core interaction in different genes' crosstalk. The genes affecting CRC prognosis were screened by the Human Protein Atlas database. In addition, the expression level of core genes was detected by GEPIA database, and the core genes' changes in large‐scale cancer genome data set were directly analyzed by cBioPortal database. The expression of the predicted hub genes DSN1, AHCY, and ERCC6L was verified by reverse‐transcription quantitative polymerase chain reaction in CRC cells. The gene function of DSN1 was analyzed by wound healing and colony formation assays. The results showed that silencing of DSN1 could significantly reduce the migration and proliferation of CRC cells. Further, BUB1B, the potential interacting protein of DSN1, was also predicted via bioinformatics analysis. Above all, this study shows that bioinformatics analysis combined with experimental method verification provide more potential vital genes for the prevention and therapy of CRC.

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Section: Discussionmentioning

confidence: 77%

Section: Discussionmentioning

confidence: 95%

Identification of potential hub genes via bioinformatics analysis combined with experimental verification in colorectal cancer

Zhou

Yang

Yue

et al. 2020

Molecular Carcinogenesis

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“…It plays wide roles in regulating cell division, cell proliferation and other biological processes and is considered as a genetic marker in the development of tumours . It was reported that ERCC6L was relevant to disease progression and poor prognosis in many types of cancer, such as breast, renal and colorectal cancer . High expression of ERCC6L plus its role in embryonic development and the involvement of remodelling centromeric chromatin remind us to hypothesize that it may play a key role in tumorigenesis.…”

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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“…Furthermore, they identified that some special genes such as MAD2L, CCNB1 and BIRC5, which had a close relationship with ERCC6L were involved in the cell cycle pathway, thus ERCC6L may play an important role in neuroblastoma. Recently, Xie et al [ 26 ] found that ERCC6L was abnormal overexpressed in colorectal cancer (CRC) tissues and cell lines, and reducing ERCC6L expression in CRC cells significantly inhibited the proliferation, cell cycle progression, and arrested cell cycle at G0/G1 phase. These findings demonstrated that ERCC6L may exert an essential role in tumor growth and may be an efficient target for tumor detection, diagnosis and therapy.…”

Section: Discussionmentioning

confidence: 99%

ERCC6L promotes the progression of hepatocellular carcinoma through activating PI3K/AKT and NF-κB signaling pathway

Han

Wang

et al. 2020

BMC Cancer

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Background: Excision Repair Cross-Complementation group 6-like (ERCC6L) has been shown to exhibit carcinogenic effect in several malignant tumors. However, the function and molecular mechanism of the ERCC6L in hepatocellular carcinoma (HCC) have not been investigated extensively. Methods: Immunohistochemistry analyses were used to detect ERCC6L expression in a HCC tissue microarray, and the Chi-square test was used to assess the correlation between ERCC6L expression and patients' clinicopathological features. shRNA was used to down-regulation ERCC6L expression in HCC cell lines. MTT assay, plate clone formation assay, flow cytometry, caspase 3/7 activity and migration assays were performed to evaluate the impact of ERCC6L on HCC cells in vitro. Nude mice xenograft models were used to assess the role of ERCC6L in vivo. The regulatory of mechanism of PI3K/AKT pathway was evaluated by western blotting. Results: ERCC6L was highly expressed in HCC tissue compared with tumor adjacent tissues in 90 paired samples. ERCC6L expression positively correlated with gender, tumor encapsulation, and pathological stage. Patients with low ERCC6L expression had significantly longer OS than those with high ERCC6L expression. Knockdown of ERCC6L expression significantly inhibited proliferation, invasion and metastasis in vitro and tumor growth in vivo, and it promoted cell cycle arrest and apoptosis. Mechanistic analyses revealed that PI3K/AKT and NF-κB signaling pathway were inhibited by silencing ERCC6L. Conclusion: These results demonstrate that ERCC6L plays a critical role in HCC progression, and thereby might be a potential therapeutic target for HCC patients.

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ERCC6L promotes cell growth and invasion in human colorectal cancer

Cited by 16 publications

References 38 publications

Identification of potential hub genes via bioinformatics analysis combined with experimental verification in colorectal cancer

Identification of potential hub genes via bioinformatics analysis combined with experimental verification in colorectal cancer

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

ERCC6L promotes the progression of hepatocellular carcinoma through activating PI3K/AKT and NF-κB signaling pathway

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