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30 results on '"Liang, Gehao"'

10. Silencing CTNND1 Mediates Triple-Negative Breast Cancer Bone Metastasis via Upregulating CXCR4/CXCL12 Axis and Neutrophils Infiltration in Bone

Author

Lin, Qun, primary, Fang, Xiaolin, additional, Liang, Gehao, additional, Luo, Qing, additional, Cen, Yinghuan, additional, Shi, Yu, additional, Jia, Shijie, additional, Li, Juanmei, additional, Yang, Wenqian, additional, Sanders, Andrew J., additional, Gong, Chang, additional, and Jiang, Wenguo, additional

Published
2021
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18. Abstract P4-04-05: circHEACA promotes anti-HER2 drug resistance by HEACA-GRB7/AKT axis in HER2+ breast cancer patients

Author

Wanyi Lin, Gong Chang, Zihao Liu, Erwei Song, Yun Ling, Liang Gehao, Zhenluan Tian, and Wenjing Zhong

Subjects
Cancer Research, Cell growth, Cell, GRB7, Cancer, Biology, medicine.disease, medicine.anatomical_structure, Breast cancer, Oncology, Circular RNA, medicine, Cancer research, biology.protein, RNA extraction, skin and connective tissue diseases, Protein kinase B
Abstract

Background: Some HER2-positive (HER2+) breast cancer patient are resistant to anti-HER2 therapy, and the potential reasons of anti-HER2 drug resistance remain unclear. It has been demonstrated that circRNAs play an important role in breast cancer progression, however, the role of circRNAs in anti-Her2 drug resistance remains unknown. In our study, we found and identified a HER2-related circRNA that is associated with malignant progression of HER2 positive breast cancer and preliminary explore their potential mechanisms and clinical significance. Materials and Methods: To identify the HER2-related circRNAs, the deep circRNAs RNA sequencing was performed between the HER2 positive and HER2 negative human breast cancer tissues, and then selected the candidate circRNAs using qPCR to verify the expression level. K-M model was used to define the prognostic performance of circRNA candidates in a breast cancer patient cohort with anti-HER2 drug treatment(N=120). Divergent primers assay and actinomycin D experiments were used to identify the circular features of circRNA candidates. To detect the biological function in breast cancer cells, we knocked-down or over-expressed the circular RNA by siRNA and plasmid transfection. We conducted CHiRP (Chromatin Isolation by RNA Purification) assay to pull down protein complex using biotinylated circRNA probe, and performed mass spectrometric to find out the potential binding protein. Western blot and immunofluorescence (IF) verified that circRNA interacted the protein candidate Results: In this study, we identified a HER2 -Associated CircRNA (named HEACA), and found that divergent primers were amplified in cDNA but not gDNA. Convergent primers amplified in the both cDNA and gDNA. As expected, HEACA was more stable than its linear mRNA when both of them were treated by actinomycin D. Clinical data indicated that HER2+ breast cancer patients with high expression level of HEACA was significantly associated with larger tumour size, more much lymphatic metastasis and higher ki67 index. Kaplan-Meier survival curves showed that HER2+ breast cancer patients with high HEACA who received anti-HER2 therapy has shorter disease-free survival (DFS) and overall survival (OS) than those with low HEACA. Next, we found that know-down HEACA significantly inhibited the proliferation of HER2 positive breast cancer cells through cell variability assay and colony formation, while over-express HEACA highly increased cell proliferation. However, neither know-down nor over-express resulted in affecting the biological function in MCF-7 cells. CircRNA pull down assay and mass spectrometric indicated HEACA may bind to Growth factor receptor-bound protein 7(GRB7). Western blot and IF showed that the protein expression of GRB7 increased or decreased by knocking down or over-express HEACA. Furthermore, we demonstrated that upregulated HEACA promoted breast cancer progression via GRB7/AKT axis in HER2+ cell lines, consequently resulted in a malignant progression of breast cancer cells in vitro and in vivo. Conclusions: HEACA-GRB7/AKT axis plays a critical role in HER2+ breast cancer progression and may be a predictive biomarker for anti-her2 therapy for HER2+ BC patients. Citation Format: Yun Ling, Liang Gehao, Zihao Liu, Zhenluan Tian, Wenjing Zhong, Wanyi Lin, Erwei Song, Gong Chang. circHEACA promotes anti-HER2 drug resistance by HEACA-GRB7/AKT axis in HER2+ breast cancer patients [abstract]. In: Proceedings of the 2019 San Antonio Breast Cancer Symposium; 2019 Dec 10-14; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2020;80(4 Suppl):Abstract nr P4-04-05.

Published
2020

19. Incorporating MicroRNA into Molecular Phenotypes of Circulating Tumor Cells Enhances the Prognostic Accuracy for Patients with Metastatic Breast Cancer

Author

Tan, Weige, primary, Liang, Gehao, additional, Xie, Xinhua, additional, Jiang, Wenguo, additional, Tan, Luyuan, additional, Sanders, Andrew J., additional, Liu, Zihao, additional, Ling, Yun, additional, Zhong, Wenjing, additional, Tian, Zhenluan, additional, Lin, Wanyi, additional, and Gong, Chang, additional

Published
2019
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20. Abstract LB-307: Autophagy-associated circRNA AUACA1 mediates the proliferation of breast cancer cells via a miR-1275/ATG7/autophagic flux axis

Author

Liang, Gehao, primary, Ling, Yun, additional, Liu, Zihao, additional, Mehrpour, Maryam, additional, Hamai, Ahmed, additional, Tian, Zhenluan, additional, Tan, Luyuan, additional, Zhong, Wenjing, additional, Lin, Wanyi, additional, Codogno, Patrice, additional, Song, Erwei, additional, and Gong, Chang, additional

Published
2019
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26. Prognostic Value of a BCSC-associated MicroRNA Signature in Hormone Receptor-Positive HER2-Negative Breast Cancer

Author

Gong, Chang, primary, Tan, Weige, additional, Chen, Kai, additional, You, Na, additional, Zhu, Shan, additional, Liang, Gehao, additional, Xie, Xinhua, additional, Li, Qian, additional, Zeng, Yunjie, additional, Ouyang, Nengtai, additional, Li, Zhihua, additional, Zeng, Musheng, additional, Zhuang, ShiMei, additional, Lau, Wan-Yee, additional, Liu, Qiang, additional, Yin, Dong, additional, Wang, Xueqin, additional, Su, Fengxi, additional, and Song, Erwei, additional

Published
2016
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27. MicroRNAs and cancer: Key paradigms in molecular therapy (Review).

Author

Tan, Weige, Liu, Bodu, Qu, Shaohua, Liang, Gehao, Luo, Wei, and Gong, Chang

Subjects
CANCER genetics, TUMOR suppressor genes, CANCER diagnosis, MICRORNA, GENETIC transcription, GENE expression profiling
Abstract

MicroRNAs (miRNAs) are a type of small non‑coding RNA molecule that performs an important role in post‑transcriptional gene regulation. Since miRNAs were first identified in 1993, a number of studies have demonstrated that they act as tumor suppressors or oncogenes in human cancer, including colorectal, lung, brain, breast and liver cancer, and leukemia. Large high‑throughput studies have previously revealed that miRNA profiling is critical for the diagnosis and prognosis of patients with cancer, while certain miRNAs possess the potential to be used as diagnostic and prognostic biomarkers or therapeutic targets in cancer. The present study reviews the studies and examines the roles of miRNAs in cancer diagnosis, prognosis and treatment, and discusses the potential therapeutic modality of exploiting miRNAs. [ABSTRACT FROM AUTHOR]

Published
2018
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29. HIF1α-associated circDENND4C Promotes Proliferation of Breast Cancer Cells in Hypoxic Environment.

Author

Liang G, Liu Z, Tan L, Su AN, Jiang WG, and Gong C

Subjects
Cell Hypoxia, Cell Line, Tumor, Cell Proliferation, Female, Gene Expression Regulation, Neoplastic, Gene Knockdown Techniques, Humans, MCF-7 Cells, RNA, Circular, Tumor Burden, Breast Neoplasms genetics, Breast Neoplasms pathology, Hypoxia-Inducible Factor 1, alpha Subunit genetics, RNA genetics
Abstract

Background: Accumulating evidence has shown that hypoxia plays a key role in regulating proliferation of breast cancer cells. However, the mechanism of how hypoxia regulates breast cancer remains unclear. We sought to investigate if hypoxia regulated proliferation through circular RNA., Materials and Methods: Western blot was used to detect hypoxia-inducible factor 1 alpha (HIF1α) levels in breast cancer cells under hypoxic conditions. Candidate circular RNAs (circRNAs) were selected and quantified by quantitative real-time polymerase chain reaction (qRT-PCR) after hypoxia induction. CCK8 assay was used to investigate the changes of proliferation after interfering circDENND4C and HIF1a., Results: In breast cancer cells, circDENND4C was increased under hypoxic conditions and decreased after knocking-down HIF1α. In addition, knocking-down circDENND4C inhibited proliferation of breast cancer cells in a hypoxic environment. Finally, tumors with a large size had higher circDENND4C expression levels than those of small size., Conclusion: CircDENND4C is a HIF1α-associated circRNA promoting the proliferation of breast cancer cells under hypoxia., (Copyright© 2017, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.)

Published
2017
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30. High-efficient Screening Method for Identification of Key Genes in Breast Cancer Through Microarray and Bioinformatics.

Author

Liu Z, Liang G, Tan L, Su AN, Jiang W, and Gong C

Subjects
Breast Neoplasms metabolism, Female, Gene Expression Regulation, Neoplastic, Gene Ontology, Genetic Association Studies, Genetic Predisposition to Disease, Humans, Survival Analysis, Breast Neoplasms genetics, Gene Expression Profiling methods, Gene Regulatory Networks, Oligonucleotide Array Sequence Analysis methods, Protein Interaction Mapping methods
Abstract

Background/aim: The aim of the present study was to identify key pathways and genes in breast cancer and develop a new method for screening key genes with abnormal expression based on bioinformatics., Materials and Methods: Three microarray datasets GSE21422, GSE42568 and GSE45827 were downloaded from the Gene Expression Omnibus (GEO) database and differentially expressed genes (DEGs) were analyzed using GEO2R. The gene ontology (GO) and pathway enrichment analysis were established through DAVID database. The protein-protein interaction (PPI) network was performed through the Search Tool for the Retrieval of Interacting Genes (STRING) database and managed by Cytoscape. The overall survival (OS) analysis of the 4 genes including AURKA, CDH1, CDK1 and PPARG that had higher degrees in this network was uncovered Kaplan-Meier analysis., Results: A total of 811 DEGs were identified in breast cancer, which were enriched in biological processes, including cell cycle, mitosis, vessel development and lipid metabolic. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis revealed that the up-regulated DEGs were particularly involved in cell cycle, progesterone-mediated oocyte maturation and leukocyte transendothelial migration, while the down-regulated DEGs were mainly involved in regulation of lipolysis, fatty acid degradation and glycerolipid metabolism. Through PPI network analysis, 14 hub genes were identified. Among them, the high expression of AURKA, CDH1 and CDK1 were associated with worse OS of breast cancer patients; while the high expression of PPARG was linked with better OS., Conclusion: The present study identified key pathways and genes involved in breast cancer which are potential molecular targets for breast cancer treatment and diagnosis., (Copyright© 2017, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.)

Published
2017
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