1
|
Zhao L, Qi X, Chen Y, Qiao Y, Bu D, Wu Y, Luo Y, Wang S, Zhang R, Zhao Y. Biological knowledge graph-guided investigation of immune therapy response in cancer with graph neural network. Brief Bioinform 2023; 24:6995380. [PMID: 36682018 DOI: 10.1093/bib/bbad023] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Revised: 12/18/2022] [Accepted: 01/07/2023] [Indexed: 01/23/2023] Open
Abstract
The determination of transcriptome profiles that mediate immune therapy in cancer remains a major clinical and biological challenge. Despite responses induced by immune-check points inhibitors (ICIs) in diverse tumor types and all the big breakthroughs in cancer immunotherapy, most patients with solid tumors do not respond to ICI therapies. It still remains a big challenge to predict the ICI treatment response. Here, we propose a framework with multiple prior knowledge networks guided for immune checkpoints inhibitors prediction-DeepOmix-ICI (or ICInet for short). ICInet can predict the immune therapy response by leveraging geometric deep learning and prior biological knowledge graphs of gene-gene interactions. Here, we demonstrate more than 600 ICI-treated patients with ICI response data and gene expression profile to apply on ICInet. ICInet was used for ICI therapy responses prediciton across different cancer types-melanoma, gastric cancer and bladder cancer, which includes 7 cohorts from different data sources. ICInet is able to robustly generalize into multiple cancer types. Moreover, the performance of ICInet in those cancer types can outperform other ICI biomarkers in the clinic. Our model [area under the curve (AUC = 0.85)] generally outperformed other measures, including tumor mutational burden (AUC = 0.62) and programmed cell death ligand-1 score (AUC = 0.74). Therefore, our study presents a prior-knowledge guided deep learning method to effectively select immunotherapy-response-associated biomarkers, thereby improving the prediction of immunotherapy response for precision oncology.
Collapse
Affiliation(s)
- Lianhe Zhao
- Research Center for Ubiquitous Computing Systems, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China
| | - Xiaoning Qi
- Research Center for Ubiquitous Computing Systems, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yang Chen
- The First People's Hospital of Yunnan Province, Kunming, 650032, Yunnan, China
| | - Yixuan Qiao
- Research Center for Ubiquitous Computing Systems, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Dechao Bu
- Research Center for Ubiquitous Computing Systems, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China
| | - Yang Wu
- Research Center for Ubiquitous Computing Systems, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China
| | - Yufan Luo
- Research Center for Ubiquitous Computing Systems, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Sheng Wang
- Research Center for Ubiquitous Computing Systems, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | | | - Yi Zhao
- Research Center for Ubiquitous Computing Systems, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China
| |
Collapse
|
2
|
Tsukamoto Y, Kurogi S, Shibata T, Suzuki K, Hirashita Y, Fumoto S, Yano S, Yanagihara K, Nakada C, Mieno F, Kinoshita K, Fuchino T, Mizukami K, Ueda Y, Etoh T, Uchida T, Hanada T, Takekawa M, Daa T, Shirao K, Hironaka S, Murakami K, Inomata M, Hijiya N, Moriyama M. Enhanced phosphorylation of c-Jun by cisplatin treatment as a potential predictive biomarker for cisplatin response in combination with patient-derived tumor organoids. J Transl Med 2022; 102:1355-1366. [PMID: 35922477 DOI: 10.1038/s41374-022-00827-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Revised: 07/04/2022] [Accepted: 07/05/2022] [Indexed: 11/09/2022] Open
Abstract
Despite recent advances in sequencing technology and large-scale drug screenings employing hundreds of cell lines, the predictive accuracy of mutation-based biomarkers is still insufficient as a guide for cancer therapy. Therefore, novel types of diagnostic methods using alternative biomarkers would be highly desirable. We have hypothesized that sensitivity-specific changes in the phosphorylation of signaling molecules could be useful in this respect. Here, with the aim of developing a method for predicting the response of cancers to cisplatin using a combination of specific biomarker(s) and patient-derived tumor organoids (PDOs), we found that cisplatin-sensitive cell lines or PDOs showed enhanced phosphorylation of c-Jun (p-c-Jun) within 24 h after cisplatin treatment. We also compared the responses of 6 PDOs to cisplatin with the therapeutic effect of neoadjuvant chemotherapy (docetaxel/cisplatin/5-fluorouracil) in 6 matched patients. Mechanistically, the c-Jun induction was partly related to TNF signaling induced by cisplatin. Our data suggest that enhanced phosphorylation of c-Jun in response to cisplatin treatment could be a predictive biomarker for the efficacy of cisplatin in selected cancer patients.
Collapse
Affiliation(s)
- Yoshiyuki Tsukamoto
- Department of Molecular Pathology, Faculty of Medicine, Oita University, Oita, Japan.
| | - Shusaku Kurogi
- Department of Molecular Pathology, Faculty of Medicine, Oita University, Oita, Japan
| | - Tomotaka Shibata
- Department of Gastroenterological and Pediatric Surgery, Faculty of Medicine, Oita University, Oita, Japan
| | - Kosuke Suzuki
- Department of Gastroenterological and Pediatric Surgery, Faculty of Medicine, Oita University, Oita, Japan
| | - Yuka Hirashita
- Department of Molecular Pathology, Faculty of Medicine, Oita University, Oita, Japan.,Department of Gastroenterology, Faculty of Medicine, Oita University, Oita, Japan
| | - Shoichi Fumoto
- Department of Surgery, Oita Nakamura Hospital, Oita, Japan
| | - Shinji Yano
- Department of Diagnostic Pathology, Faculty of Medicine, Oita University, Oita, Japan
| | - Kazuyoshi Yanagihara
- Exploratory Oncology Research and Clinical Trial Center, National Cancer Center Hospital East, Chiba, Japan
| | - Chisato Nakada
- Department of Molecular Pathology, Faculty of Medicine, Oita University, Oita, Japan.,Department of Urology, Faculty of Medicine, Oita University, Oita, Japan
| | - Fumi Mieno
- Department of Molecular Pathology, Faculty of Medicine, Oita University, Oita, Japan
| | - Keisuke Kinoshita
- Department of Molecular Pathology, Faculty of Medicine, Oita University, Oita, Japan.,Department of Gastroenterology, Faculty of Medicine, Oita University, Oita, Japan
| | - Takafumi Fuchino
- Department of Molecular Pathology, Faculty of Medicine, Oita University, Oita, Japan.,Department of Gastroenterology, Faculty of Medicine, Oita University, Oita, Japan
| | - Kazuhiro Mizukami
- Department of Gastroenterology, Faculty of Medicine, Oita University, Oita, Japan
| | - Yoshitake Ueda
- Department of Comprehensive Surgery for Community Medicine, Oita University, Oita, Japan
| | - Tsuyoshi Etoh
- Department of Gastroenterological and Pediatric Surgery, Faculty of Medicine, Oita University, Oita, Japan
| | - Tomohisa Uchida
- Department of Molecular Pathology, Faculty of Medicine, Oita University, Oita, Japan
| | - Toshikatsu Hanada
- Department of Cell Biology, Oita University Faculty of Medicine, Oita University, Oita, Japan
| | - Mutsuhiro Takekawa
- Division of Cell Signaling and Molecular Medicine, Institute of Medical Sciences, University of Tokyo, Tokyo, Japan
| | - Tsutomu Daa
- Department of Diagnostic Pathology, Faculty of Medicine, Oita University, Oita, Japan
| | - Kuniaki Shirao
- Department of Medical Oncology and Hematology, Faculty of Medicine, Oita University, Oita, Japan
| | - Shuichi Hironaka
- Department of Medical Oncology and Hematology, Faculty of Medicine, Oita University, Oita, Japan
| | - Kazunari Murakami
- Department of Gastroenterology, Faculty of Medicine, Oita University, Oita, Japan
| | - Masafumi Inomata
- Department of Gastroenterological and Pediatric Surgery, Faculty of Medicine, Oita University, Oita, Japan
| | - Naoki Hijiya
- Department of Molecular Pathology, Faculty of Medicine, Oita University, Oita, Japan
| | - Masatsugu Moriyama
- Department of Molecular Pathology, Faculty of Medicine, Oita University, Oita, Japan
| |
Collapse
|
3
|
Zheng J, Wang L, Cheng Z, Pei Z, Zhang Z, Li Z, Zhang X, Yan D, Xia Q, Feng Y, Song Y, Chen W, Zhang X, Xu J, Wang J. Molecular Changes of Lung Malignancy in HIV Infection. Sci Rep 2018; 8:13128. [PMID: 30177858 PMCID: PMC6120915 DOI: 10.1038/s41598-018-31572-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2018] [Accepted: 08/07/2018] [Indexed: 01/02/2023] Open
Abstract
Malignancy of the lung is a major source of morbidity and mortality in persons with human immunodeficiency virus infection; as the most prevalent non-acquired immunodeficiency syndrome-defining malignancy, it represents an important and growing problem confronting HIV-infected patients. To evaluate the molecular changes of lung malignancy in HIV infection, we analyzed differential gene expression profiles and screened for early detection biomarkers of HIV-associated lung cancer using Affymetrix arrays and IPA analysis. A total of 59 patients were diagnosed with HIV-associated lung cancer from Jan 2010 to May 2018. The primary outcome was a significant difference in survival outcome between stages III-IV (10.46 ± 1.87 months) and I-II (17.66 ± 2.88 months). We identified 758 differentially expressed genes in HIV-associated lung cancer. The expression levels of SIX1 and TFAP2A are specifically increased in HIV-associated lung cancer and are associated with poorly differentiated tumor tissue. We also found decreased ADH1B, INMT and SYNPO2 mRNA levels in HIV lung cancer. A comprehensive network and pathway analysis of the dysregulated genes revealed that these genes were associated with four network functions and six canonical pathways relevant to the development of HIV-associated lung cancer. The molecular changes in lung malignancy may help screen the growing population of HIV patients who have or will develop this malignancy.
Collapse
Affiliation(s)
- Jianghua Zheng
- Shanghai Public Health Clinical Center, Fudan University, 2901 Caolang Road, Jinshan District, Shanghai, 201508, P.R. China.,Department of Laboratory Medicine, Zhoupu Hospital Affiliated to Shanghai University of Medicine & Health Sciences, Shanghai, 201318, China
| | - Lin Wang
- Shanghai Public Health Clinical Center, Fudan University, 2901 Caolang Road, Jinshan District, Shanghai, 201508, P.R. China
| | - Zenghui Cheng
- Shanghai Public Health Clinical Center, Fudan University, 2901 Caolang Road, Jinshan District, Shanghai, 201508, P.R. China.,Department of Radiology, Ruijin Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China
| | - Zenglin Pei
- Shanghai Public Health Clinical Center, Fudan University, 2901 Caolang Road, Jinshan District, Shanghai, 201508, P.R. China
| | - Zhiyong Zhang
- Shanghai Public Health Clinical Center, Fudan University, 2901 Caolang Road, Jinshan District, Shanghai, 201508, P.R. China
| | - Zehuan Li
- Shanghai Public Health Clinical Center, Fudan University, 2901 Caolang Road, Jinshan District, Shanghai, 201508, P.R. China.,Department of General Surgery, Zhongshan Hospital, Fudan University, 200032, Shanghai, P. R. China
| | - Xuan Zhang
- Shanghai Public Health Clinical Center, Fudan University, 2901 Caolang Road, Jinshan District, Shanghai, 201508, P.R. China
| | - Dong Yan
- Department of Medical Oncology, Beijing Chaoyang Hospital affiliated to Capital Medical University, Beijing, China
| | - Qianlin Xia
- Shanghai Public Health Clinical Center, Fudan University, 2901 Caolang Road, Jinshan District, Shanghai, 201508, P.R. China
| | - Yanling Feng
- Shanghai Public Health Clinical Center, Fudan University, 2901 Caolang Road, Jinshan District, Shanghai, 201508, P.R. China
| | - Yanzheng Song
- Shanghai Public Health Clinical Center, Fudan University, 2901 Caolang Road, Jinshan District, Shanghai, 201508, P.R. China
| | - Weiping Chen
- Microarray Core, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Xiaoyan Zhang
- Shanghai Public Health Clinical Center, Fudan University, 2901 Caolang Road, Jinshan District, Shanghai, 201508, P.R. China
| | - Jianqing Xu
- Shanghai Public Health Clinical Center, Fudan University, 2901 Caolang Road, Jinshan District, Shanghai, 201508, P.R. China
| | - Jin Wang
- Shanghai Public Health Clinical Center, Fudan University, 2901 Caolang Road, Jinshan District, Shanghai, 201508, P.R. China.
| |
Collapse
|
4
|
Cotton S, Azevedo R, Gaiteiro C, Ferreira D, Lima L, Peixoto A, Fernandes E, Neves M, Neves D, Amaro T, Cruz R, Tavares A, Rangel M, Silva AMN, Santos LL, Ferreira JA. Targeted O-glycoproteomics explored increased sialylation and identified MUC16 as a poor prognosis biomarker in advanced-stage bladder tumours. Mol Oncol 2017; 11:895-912. [PMID: 28156048 PMCID: PMC5537688 DOI: 10.1002/1878-0261.12035] [Citation(s) in RCA: 46] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2016] [Revised: 01/24/2017] [Accepted: 01/24/2017] [Indexed: 12/30/2022] Open
Abstract
Bladder carcinogenesis and tumour progression is accompanied by profound alterations in protein glycosylation on the cell surface, which may be explored for improving disease management. In a search for prognosis biomarkers and novel therapeutic targets we have screened, using immunohistochemistry, a series of bladder tumours with differing clinicopathology for short-chain O-glycans commonly found in glycoproteins of human solid tumours. These included the Tn and T antigens and their sialylated counterparts sialyl-Tn(STn) and sialyl-T(ST), which are generally associated with poor prognosis. We have also explored the nature of T antigen sialylation, namely the sialyl-3-T(S3T) and sialyl-6-T(S6T) sialoforms, based on combinations of enzymatic treatments. We observed a predominance of sialoglycans over neutral glycoforms (Tn and T antigens) in bladder tumours. In particular, the STn antigen was associated with high-grade disease and muscle invasion, in accordance with our previous observations. The S3T and S6T antigens were detected for the first time in bladder tumours, but not in healthy urothelia, highlighting their cancer-specific nature. These glycans were also overexpressed in advanced lesions, especially in cases showing muscle invasion. Glycoproteomic analyses of advanced bladder tumours based on enzymatic treatments, Vicia villosa lectin-affinity chromatography enrichment and nanoLC-ESI-MS/MS analysis resulted in the identification of several key cancer-associated glycoproteins (MUC16, CD44, integrins) carrying altered glycosylation. Of particular interest were MUC16 STn+ -glycoforms, characteristic of ovarian cancers, which were found in a subset of advanced-stage bladder tumours facing the worst prognosis. In summary, significant alterations in the O-glycome and O-glycoproteome of bladder tumours hold promise for the development of novel noninvasive diagnostic tools and targeted therapeutics. Furthermore, abnormal MUC16 glycoforms hold potential as surrogate biomarkers of poor prognosis and unique molecular signatures for designing highly specific targeted therapeutics.
Collapse
Affiliation(s)
- Sofia Cotton
- Experimental Pathology and Therapeutics Group, Portuguese Institute of Oncology, Porto, Portugal
| | - Rita Azevedo
- Experimental Pathology and Therapeutics Group, Portuguese Institute of Oncology, Porto, Portugal.,Institute of Biomedical Sciences Abel Salazar, University of Porto, Portugal
| | - Cristiana Gaiteiro
- Experimental Pathology and Therapeutics Group, Portuguese Institute of Oncology, Porto, Portugal
| | - Dylan Ferreira
- Experimental Pathology and Therapeutics Group, Portuguese Institute of Oncology, Porto, Portugal
| | - Luís Lima
- Experimental Pathology and Therapeutics Group, Portuguese Institute of Oncology, Porto, Portugal.,Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Portugal
| | - Andreia Peixoto
- Experimental Pathology and Therapeutics Group, Portuguese Institute of Oncology, Porto, Portugal.,Institute of Biomedical Sciences Abel Salazar, University of Porto, Portugal.,Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Portugal
| | - Elisabete Fernandes
- Experimental Pathology and Therapeutics Group, Portuguese Institute of Oncology, Porto, Portugal.,Institute of Biomedical Sciences Abel Salazar, University of Porto, Portugal.,Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Portugal
| | - Manuel Neves
- Experimental Pathology and Therapeutics Group, Portuguese Institute of Oncology, Porto, Portugal
| | - Diogo Neves
- Experimental Pathology and Therapeutics Group, Portuguese Institute of Oncology, Porto, Portugal
| | - Teresina Amaro
- Department of Pathology, Hospital Pedro Hispano, Matosinhos, Portugal
| | - Ricardo Cruz
- Department of Urology, Portuguese Institute of Oncology of Porto, Portugal
| | - Ana Tavares
- Experimental Pathology and Therapeutics Group, Portuguese Institute of Oncology, Porto, Portugal.,Department of Pathology, Portuguese Institute of Oncology of Porto, Portugal
| | - Maria Rangel
- UCIBIO-REQUIMTE, Instituto de Ciências Biomédicas Abel Salazar, University of Porto, Portugal
| | - André M N Silva
- UCIBIO-REQUIMTE/Department of Chemistry and Biochemistry, Faculty of Sciences, University of Porto, Portugal
| | - Lúcio Lara Santos
- Experimental Pathology and Therapeutics Group, Portuguese Institute of Oncology, Porto, Portugal.,Health School of University Fernando Pessoa, Porto, Portugal.,Department of Surgical Oncology, Portuguese Institute of Oncology, Porto, Portugal
| | - José Alexandre Ferreira
- Experimental Pathology and Therapeutics Group, Portuguese Institute of Oncology, Porto, Portugal.,Institute of Biomedical Sciences Abel Salazar, University of Porto, Portugal.,Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Portugal.,Porto Comprehensive Cancer Center (P.ccc), Portugal
| |
Collapse
|
5
|
Li X, Huang K, Zhang Q, Zhou J, Sun H, Tang F, Zhou H, Hu T, Wang S, Jia Y, Yang R, Chen Y, Cheng X, Lv W, Wu L, Xing H, Wang L, Zhou S, Yao Y, Wang X, Suolang Q, Shen J, Xi L, Hu J, Wang H, Chen G, Gao Q, Xie X, Wang S, Li S, Ma D. Genome-wide association study identifies four SNPs associated with response to platinum-based neoadjuvant chemotherapy for cervical cancer. Sci Rep 2017; 7:41103. [PMID: 28120872 PMCID: PMC5264598 DOI: 10.1038/srep41103] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2016] [Accepted: 12/15/2016] [Indexed: 01/09/2023] Open
Abstract
To identify genomic markers associated with the response to neoadjuvant chemotherapy (NACT) in patients with cervical cancer, we performed a three-stage genome-wide association study (GWAS) in the Han Chinese population. A total of 596 patients with stage IA2-IIIB cervical cancer were enrolled in this study. One single nucleotide polymorphism (SNP) (rs6812281, per allele OR = 2.37, P = 9.0 × 10−9) located at 4q34.3 reached GWAS significance (P < 5.0 × 10−8). Another three SNPs, rs4590782 (10q26.2, P = 1.59 × 10−5, per allele OR = 0.48), rs1742101 (14q32.11, P = 7.11 × 10−6, per allele OR = 0.52), and rs1364121 (16q23.3, P = 3.15 × 10−6, per allele OR = 1.98), exhibited strong evidence of associations with response to neoadjuvant chemotherapy. Patients with a C allele (CT + CC) of rs4590782 had better 5-year overall survival rates (82.9% vs. 75.8%, P = 0.083) and 5-year disease-free survival rate (80.8% vs. 72.7%, P = 0.021) than those without a C allele. Our findings help to characterize the genetic etiology of the response to neoadjuvant chemotherapy in patients with cervical cancer.
Collapse
Affiliation(s)
- Xiong Li
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P.R. China.,Department of Gynecology &Obstetrics, the Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P.R. China
| | - Kecheng Huang
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P.R. China
| | - Qinghua Zhang
- Department of Gynecology &Obstetrics, the Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P.R. China
| | - Jin Zhou
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P.R. China.,Cancer Center, Renmin Hospital of Wuhan University, Wuhan, Hubei, P.R. China
| | - Haiying Sun
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P.R. China
| | - Fangxu Tang
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P.R. China
| | - Hang Zhou
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P.R. China
| | - Ting Hu
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P.R. China
| | - Shaoshuai Wang
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P.R. China
| | - Yao Jia
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P.R. China
| | - Ru Yang
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P.R. China
| | - Yile Chen
- Department of Gynecologic Oncology, Hunan Province Tumor Hospital, Changsha, P.R. China
| | - Xiaodong Cheng
- Women's Reproductive Health Laboratory of Zhejiang Province, Zhejiang, P.R. China
| | - Weiguo Lv
- Women's Reproductive Health Laboratory of Zhejiang Province, Zhejiang, P.R. China
| | - Li Wu
- Department of Gynecologic Oncology, Hunan Province Tumor Hospital, Changsha, P.R. China
| | - Hui Xing
- Department of Obstetrics and Gynecology, Xiangfan Central Hospital, Tongji Medical College, Huazhong University of Science and Technology, Xiangfan, Hubei, P.R. China
| | - Lin Wang
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P.R. China
| | - Shasha Zhou
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P.R. China
| | - Yuan Yao
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P.R. China
| | - Xiaoli Wang
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P.R. China
| | - Quzhen Suolang
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P.R. China
| | - Jian Shen
- Department of Gynecology &Obstetrics, the Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P.R. China
| | - Ling Xi
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P.R. China
| | - Junbo Hu
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P.R. China
| | - Hui Wang
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P.R. China
| | - Gang Chen
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P.R. China
| | - Qinglei Gao
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P.R. China
| | - Xing Xie
- Women's Reproductive Health Laboratory of Zhejiang Province, Zhejiang, P.R. China
| | - Shixuan Wang
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P.R. China
| | - Shuang Li
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P.R. China
| | - Ding Ma
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P.R. China
| |
Collapse
|
6
|
Zhou J, Duan H, Xie Y, Ning Y, Zhang X, Hui N, Wang C, Zhang J, Zhou J. MiR-193a-5p Targets the Coding Region of AP-2α mRNA and Induces Cisplatin Resistance in Bladder Cancers. J Cancer 2016; 7:1740-1746. [PMID: 27698912 PMCID: PMC5039396 DOI: 10.7150/jca.15620] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2016] [Accepted: 06/29/2016] [Indexed: 12/21/2022] Open
Abstract
Transcription factor AP-2 alpha (AP-2α or TFAP2A) is a newly identified prognostic marker of chemotherapy; its expression is positively correlated with chemosensitivity and survival of cancer patients. Using computational programs, we predicted that the coding region of AP-2α gene contains a potential miRNA response element (MRE) of miR-193a-5p, and the single nucleotide polymorphism (SNP) site (c.497A>G, rs111681798) resides within the predicted MRE. The results of luciferase assays and Western blot analysis demonstrated that miR-193a-5p negatively regulated the expression of AP-2α proteins, but have no influence on the mutant AP-2α (c.497A>G). Infection with lentiviral AP-2α gene or miR-193a-5p inhibitor in the bladder cancer cells decreased migration and cisplatin resistance, while knockdown of AP-2α gene or overexpression of miR-193a-5p in the urothelial cell line SV-HUC-1 increased migration and cisplatin resistances. We concluded that miR-193a-5p induced cisplatin resistance by repressing AP-2α expression in bladder cancer cells.
Collapse
Affiliation(s)
- Ji Zhou
- College of Life Science, Hunan Normal University, Changsha 410081, Hunan, China
| | - Huaxin Duan
- Hunan Provincial People's Hospital, Changsha 410005, Hunan, China
| | - Yu Xie
- Hunan Cancer Hospital, Changsha 410013, Hunan, China
| | - Yichong Ning
- College of Life Science, Hunan Normal University, Changsha 410081, Hunan, China
| | - Xing Zhang
- College of Life Science, Hunan Normal University, Changsha 410081, Hunan, China
| | - Na Hui
- College of Life Science, Hunan Normal University, Changsha 410081, Hunan, China
| | - Chunqing Wang
- College of Life Science, Hunan Normal University, Changsha 410081, Hunan, China
| | - Jian Zhang
- College of Life Science, Hunan Normal University, Changsha 410081, Hunan, China
| | - Jianlin Zhou
- College of Life Science, Hunan Normal University, Changsha 410081, Hunan, China
| |
Collapse
|