Targeting survivin sensitizes cervical cancer cells to radiation treatment

Zhou, Jing; Guo, Xiaojing; Chen, Weifen; Wang, Liming; Jin, Yonglong

doi:10.1080/21655979.2020.1717297

Cited by 19 publications

(20 citation statements)

References 27 publications

(29 reference statements)

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“…It has been shown that the long noncoding RNA (lncRNA) nR2F1-AS1 stimulates the malignant phenotype of osteosarcoma cells [ 28 ]. Inhibition of BIRC5 improves cervical cancer cell sensitivity to radiotherapy [ 29 ]. Nine genes, including BIRC5, may be biomarkers for HCC [ 30 ].…”

Section: Discussionmentioning

confidence: 99%

An Autophagy-Related Gene-Based Prognostic Risk Signature for Hepatocellular Carcinoma: Construction and Validation

Feng

Xuan

et al. 2021

Computational and Mathematical Methods in Medicine

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Background. Hepatocellular carcinoma (HCC) is a prevalent primary liver cancer. Treatment is dramatically difficult due to its high complexity and poor prognosis. Due to the disclosed dual functions of autophagy in cancer development, understanding autophagy-related genes devotes into novel biomarkers for HCC. Methods. Differential expression of genes in normal and tumor groups was analyzed to acquire autophagy-related genes in HCC. These genes were subjected to GO and KEGG pathway analyses. Genes were then screened by univariate regression analysis. The screened genes were subjected to multivariate Cox regression analysis to build a prognostic model. The model was validated by the ICGC validation set. Results. To sum up, 42 differential genes relevant to autophagy were screened by differential expression analysis. Enrichment analysis showed that they were mainly enriched in pathways including regulation of autophagy and cell apoptosis. Genes were screened by univariate analysis and multivariate Cox regression analysis to build a prognostic model. The model constituted 6 feature genes: EIF2S1, BIRC5, SQSTM1, ATG7, HDAC1, and FKBP1A. Validation confirmed the accuracy and independence of this model in predicting the HCC patient’s prognosis. Conclusion. A total of 6 feature genes were identified to build a prognostic risk model. This model is conducive to investigating interplay between autophagy-related genes and HCC prognosis.

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Section: Discussionmentioning

confidence: 99%

An Autophagy-Related Gene-Based Prognostic Risk Signature for Hepatocellular Carcinoma: Construction and Validation

Feng

Xuan

et al. 2021

Computational and Mathematical Methods in Medicine

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“…It is located in distinct parts of the mitotic apparatus and plays an essential role in cell division and inhibition of apoptosis. Survivin is expressed in most human cancers, but not in normal adult tissues [19,20]. Inhibition of Survivin has been well-studied as a cancer therapeutic.…”

Section: Discussionmentioning

confidence: 99%

High Expressions of Notch and Survivin in Elderly Patients with Glioma Contribute to an Unfavorable Prognosis

Yu-guo

Zhou

et al. 2021

Journal of Nanomaterials

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Gliomas account for 24% of all primary brain and central nervous system tumors. To date, elderly patients constitute 10-25% of patients with a diagnosis of glioblastoma multiforme, but limited attention has been put on their optimal treatment, largely due to a very poor expected survival (only 4-6 months). Unraveling the molecular mechanism of gliomas provides an opportunity to develop novel biomarkers and therapeutic targets. In this study, we collected fasting blood samples from elderly patients diagnosed with glioma and who received treatment in our hospital between May 2016 and May 2019 and determined the expression levels of Notch and Survivin proteins in different clinical stages and their relationship with patient survival. A total of 68 healthy volunteers in this hospital during the same period served as healthy controls. Compared with the healthy controls, the expressions of Notch 1, Notch 2, Notch 3, and Survivin protein in the serum of elderly glioma patients were remarkably increased ( P < 0.05 ), but the expression of caspase-3 protein declined ( P < 0.05 ). As the clinical stage of the patient advanced, the expressions of Notch 1, Notch 2, Notch 3, and Survivin increased, and this increase was statistically significant ( P < 0.05 ). It was observed that high expressions of serum Notch 1, Notch 2, Notch 3, and Survivin were associated with poor overall survival of elderly patients with glioma. We used γ-secretase inhibitor MRK-003 and specific ligand Jagged1 to alter the Notch pathway in U251 cells. It was revealed that MRK-003 incubation effectively suppressed the mRNA expression of Survivin in U251 cells, but Jagged1 stimulation significantly promoted the mRNA expression of Survivin in U251 cells. Results of MTT and transwell migration assays revealed reduced U251 cell viability and migration following MRK-003 treatment and enhanced cell viability and migration following Jagged1 stimulation. In conclusion, the finding obtained from these results supports that Notch and Survivin proteins contribute to the development of glioma in elderly patients and could serve as prognostic factors.

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“…It has been shown that the long non-coding RNA (lncRNA) nR2F1-AS1 promotes the malignant phenotype of osteosarcoma cells through the miR-485-5p/miR-218-5p/BIRC5 axis 26 . Inhibition of BIRC5 improves cervical cancer cells sensitivity to radiotherapy 27 . Nine genes, including BIRC5, may be biomarkers for HCC 28 .…”

Section: Discussionmentioning

confidence: 99%

Construction and Validation of a Prognostic Risk Model Based on Autophagy-Related Genes in Hepatocellular Carcinoma Cells

Feng

Xuan

et al. 2021

Preprint

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Background Hepatocellular carcinoma (HCC) is a prevalent primary liver cancer and the main cause of cancer mortality. Its high complexity and dismal prognosis bring dramatic difficulty to treatment. Due to the disclosed dual functions of autophagy in cancer development, understanding autophagy-related genes devotes into seeking novel biomarkers for HCC. Methods Differential expression of genes in normal and tumor groups was analyzed to acquire autophagy-related genes in HCC. GO and KEGG pathway analyses were conducted on these genes. Genes were then screened by univariate regression analysis. The screened genes were subjected to multivariate Cox regression analysis to build a prognostic model. The model was validated by ICGC validation set. Results Altogether, 42 autophagy-related differential genes were screened by differential expression analysis. Enrichment analysis showed that they were mainly enriched in pathways including regulation of autophagy and cell apoptosis. Genes were screened by univariate analysis and multivariate Cox regression analysis to build a prognostic model. The model was constituted by 6 feature genes: EIF2S1, BIRC5, SQSTM1, ATG7, HDAC1, FKBP1A. Validation confirmed the accuracy and independence of this model in predicting HCC patient’s prognosis. Conclusion A total of 6 feature genes were identified to build a prognostic risk model. This model is conducive to investigating interplay between autophagy-related genes and HCC prognosis.

show abstract

Targeting survivin sensitizes cervical cancer cells to radiation treatment

Cited by 19 publications

References 27 publications

An Autophagy-Related Gene-Based Prognostic Risk Signature for Hepatocellular Carcinoma: Construction and Validation

An Autophagy-Related Gene-Based Prognostic Risk Signature for Hepatocellular Carcinoma: Construction and Validation

High Expressions of Notch and Survivin in Elderly Patients with Glioma Contribute to an Unfavorable Prognosis

Construction and Validation of a Prognostic Risk Model Based on Autophagy-Related Genes in Hepatocellular Carcinoma Cells

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