Cancer Research and Treatment

Juan Zhou

3 Articles

KIF11 Functions as an Oncogene and Is Associated with Poor Outcomes from Breast Cancer: Juan Zhou, Wei-Rong Chen, Li-Chao Yang, Jun Wang, Jia-Yuan Sun, Wen-Wen Zhang, Zhen-Yu He, San-Gang Wu; Cancer Res Treat. 2019;51(3):1207-1221. Published online December 27, 2018; DOI: https://doi.org/10.4143/crt.2018.460

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Purpose
The study aimed to search and identify genes that were differentially expressed in breast cancer, and their roles in cancer growth and progression.
Materials and Methods
The Gene Expression Omnibus (Oncomine) and The Cancer Genome Atlas databases (https://cancergenome.nih.gov/) were screened for genes that were expressed differentially in breast cancer and were closely related to a poor prognosis. Gene expressions were verified by quantitative real-time polymerase chain reaction, and genes were knocked down by a lentivirus-based system. Cell growth and motility were evaluated and in vivo nude mice were used to confirm the in vitro roles of genes. Markers of epithelial-to-mesenchymal transition and the associations of KIF11 with the classical cancer signaling pathways were detected by Western blot.
Results
A series of genes expressed differentially in patients with breast cancer. The prognosis associated with high KIF11 expression was poor, and the expression of KIF11 increased significantly in high stage and malignant tumor cells. Inhibiting KIF11 expression in lentivirus-suppressed cells revealed that KIF11 inhibition significantly reduced cell viability and colony formation, inhibited migration and invasion, but promoted apoptosis. The sizes and weights of KIF11-inhibited tumors in nude mice were significantly lower than in the negative controls. Western blot showed that E-cadherin in breast cancer was significantly upregulated in KIF-inhibited cells and tumor tissues, whereas N-cadherin and vimentin were significantly downregulated. BT549 and MDA231 cells with KIF11 knockdown exhibited decreased ERK, AMPK, AKT, and CREB phosphorylation.
Conclusion
KIF11 acts as a potential oncogene that regulates the development and progression of breast cancer.

Citations

Citations to this article as recorded by

The role of kinesin family members in hepatobiliary carcinomas: from bench to bedside
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Mitotic Functions and Characters of KIF11 in Cancers
Wanting Gao, Junjie Lu, Zitao Yang, Enmin Li, Yufei Cao, Lei Xie
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HELLS Knockdown Inhibits the Malignant Progression of Lung Adenocarcinoma Via Blocking Akt/CREB Pathway by Downregulating KIF11
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Pan Song, Dong Lv, Luchen Yang, Jing Zhou, Xin Yan, Zhenghuan Liu, Kai Ma, Yunfei Yu, Xiaoyang Liu, Qiang Dong
Ecotoxicology and Environmental Safety.2024; 281: 116602. CrossRef
Transcriptomic profiles‐based approach to decode the role of miR‐122 in triple negative breast cancer
Mauricio Flores Fortis, Isidro X. Perez Añorve, Oscar del Moral Hernandez, Nicolas Villegas, Elena Arechaga Ocampo
Genes, Chromosomes and Cancer.2023; 62(7): 392. CrossRef
ASPM promotes migration and invasion of anaplastic thyroid carcinoma by stabilizing KIF11
Qilu Fang, Qinglin Li, Yajun Qi, Zongfu Pan, Tingting Feng, Wenxiu Xin
Cell Biology International.2023; 47(7): 1209. CrossRef
Effect of KIF15 as a promoter role in the progression of osteosarcoma based on TCGA database
Jin Qian, Laicheng Zou, Xiao Han, Zhen Zhang, Qing Qiu, Liulong Zhu, Zhenyu Bian
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KIF11 serves as a cell cycle mediator in childhood acute lymphoblastic leukemia
Liwen Zhu, Chuqin Chen, Meiyun Kang, Xiaopeng Ma, Xiaoyan Sun, Yao Xue, Yongjun Fang
Journal of Cancer Research and Clinical Oncology.2023; 149(17): 15609. CrossRef
Protooncogenic Role of ARHGAP11A and ARHGAP11B in Invasive Ductal Carcinoma: Two Promising Breast Cancer Biomarkers
Y. Naeimzadeh, S. Ilbeigi, H. Dastsooz, M. Rafiee Monjezi, Y. Mansoori, S. M. B. Tabei, Yuan Li
BioMed Research International.2023;[Epub] CrossRef
Upregulation of KIF11 in TP53 Mutant Glioma Promotes Tumor Stemness and Drug Resistance
Bin Liu, Gang Zhang, Shukun Cui, Guoliang Du
Cellular and Molecular Neurobiology.2022; 42(5): 1477. CrossRef
High KIF11 expression is associated with poor outcome of NSCLC
Junhui Liu, Yubin Tian, Lei Yi, Zhaojia Gao, Ming Lou, Kai Yuan
Tumori Journal.2022; 108(1): 40. CrossRef
Negative Modulation of the Angiogenic Cascade Induced by Allosteric Kinesin Eg5 Inhibitors in a Gastric Adenocarcinoma In Vitro Model
Alessia Ricci, Marialucia Gallorini, Donatella Del Bufalo, Amelia Cataldi, Ilaria D’Agostino, Simone Carradori, Susi Zara
Molecules.2022; 27(3): 957. CrossRef
Oncological drug discovery: AI meets structure-based computational research
Marina Gorostiola González, Antonius P.A. Janssen, Adriaan P. IJzerman, Laura H. Heitman, Gerard J.P. van Westen
Drug Discovery Today.2022; 27(6): 1661. CrossRef
Targeting kinesin family member 21B by miR-132-3p represses cell proliferation, migration and invasion in gastric cancer
Bingtian Liu, Ling Qiang, Bingxin Guan, Zhipeng Ji
Bioengineered.2022; 13(4): 9006. CrossRef
KIF11 manipulates SREBP2‐dependent mevalonate cross talk to promote tumor progression in pancreatic ductal adenocarcinoma
Xiang Gu, Qunshan Zhu, Guangyu Tian, Wenbo Song, Tao Wang, Ali Wang, Xiaojun Chen, Songbing Qin
Cancer Medicine.2022; 11(17): 3282. CrossRef
KIF11 Is a Promising Therapeutic Target for Thyroid Cancer Treatment
Yue Han, Jing Chen, Dianjun Wei, Baoxi Wang, Shakeel Ahmad
Computational and Mathematical Methods in Medicine.2022; 2022: 1. CrossRef
Kinesin Eg5 Selective Inhibition by Newly Synthesized Molecules as an Alternative Approach to Counteract Breast Cancer Progression: An In Vitro Study
Alessia Ricci, Amelia Cataldi, Simone Carradori, Susi Zara
Biology.2022; 11(10): 1450. CrossRef
Comprehensive analysis of prognostic value, relationship to cell cycle, immune infiltration and m6A modification of ZSCAN20 in hepatocellular carcinoma
Fang Jiayu, Yike Jiang, Xuanrui Zhou, Minqin Zhou, Jingying Pan, Yun Ke, Jing Zhen, Da Huang, Weifan Jiang
Aging.2022;[Epub] CrossRef
Integrative analysis of transcriptional profile reveals LINC00052 as a suppressor of breast cancer cell migration
Jose Manuel Sanchez-Lopez, Edna Ayerim Mandujano-Tinoco, Alfredo Garcia-Venzor, Laura Fatima Lozada-Rodriguez, Cecilia Zampedri, Salvador Uribe-Carvajal, Jorge Melendez-Zajgla, Vilma Maldonado, Floria Lizarraga
Cancer Biomarkers.2021; 30(4): 365. CrossRef
Identification of the Hub Genes Associated with the Prognosis of Ovarian Cancer Patients via Integrated Bioinformatics Analysis and Experimental Validation
Yuzi Zhao, Jie Pi, Lihua Liu, Wenjie Yan, Shufang Ma, Li Hong
Cancer Management and Research.2021; Volume 13: 707. CrossRef
Overexpression of EZH2/NSD2 Histone Methyltransferase Axis Predicts Poor Prognosis and Accelerates Tumor Progression in Triple-Negative Breast Cancer
Bo Gao, Xiumin Liu, Zhengjin Li, Lixian Zhao, Yun Pan
Frontiers in Oncology.2021;[Epub] CrossRef
KIF11 inhibitors filanesib and ispinesib inhibit meningioma growth in vitro and in vivo
Gerhard Jungwirth, Tao Yu, Junguo Cao, Montadar Alaa Eddine, Mahmoud Moustafa, Rolf Warta, Juergen Debus, Andreas Unterberg, Amir Abdollahi, Christel Herold-Mende
Cancer Letters.2021; 506: 1. CrossRef
KIF11 Serves as an Independent Prognostic Factor and Therapeutic Target for Patients With Lung Adenocarcinoma
Zhaodong Li, Bingxin Yu, Fangyuan Qi, Fan Li
Frontiers in Oncology.2021;[Epub] CrossRef
Dauricine inhibits human pancreatic carcinoma cell proliferation through regulating miRNAs
Ling Jiang, Tianzhu Guo, Ying Jiang, Ping Liu, Yun Bai
Molecular Omics.2021; 17(4): 630. CrossRef
ASPM combined with KIF11 promotes the malignant progression of hepatocellular carcinoma via the Wnt/β‑catenin signaling pathway
Bin Wu, Chunyang Hu, Lianbao Kong
Experimental and Therapeutic Medicine.2021;[Epub] CrossRef
Screening and predicted value of potential biomarkers for breast cancer using bioinformatics analysis
Xiaoyu Zeng, Gaoli Shi, Qiankun He, Pingping Zhu
Scientific Reports.2021;[Epub] CrossRef
Screening and identification of hub genes in bladder cancer by bioinformatics analysis and KIF11 is a potential prognostic biomarker
Xiao-Cong Mo, Zi-Tong Zhang, Meng-Jia Song, Zi-Qi Zhou, Jian-Xiong Zeng, Yu-Fei Du, Feng-Ze Sun, Jie-Ying Yang, Jun-Yi He, Yue Huang, Jian-Chuan Xia, De-Sheng Weng
Oncology Letters.2021;[Epub] CrossRef
KIF11 and KIF15 mitotic kinesins are potential therapeutic vulnerabilities for malignant peripheral nerve sheath tumors
Ernest Terribas, Marco Fernández, Helena Mazuelas, Juana Fernández-Rodríguez, Josep Biayna, Ignacio Blanco, Gabriela Bernal, Irma Ramos-Oliver, Craig Thomas, Rajiv Guha, Xiaohu Zhang, Bernat Gel, Cleofé Romagosa, Marc Ferrer, Conxi Lázaro, Eduard Serra
Neuro-Oncology Advances.2020; 2(Supplement): i62. CrossRef
Kinesin family member 11 is a potential therapeutic target and is suppressed by microRNA‐30a in breast cancer
Benfang Wang, Jianjiang Yu, Zhenjiang Sun, Frank Luh, Dandan Lin, Ying Shen, Ting Wang, Qi Zhang, Xiyong Liu
Molecular Carcinogenesis.2020; 59(8): 908. CrossRef
Development and validation of a five‐gene model to predict postoperative brain metastasis in operable lung adenocarcinoma
Fangqiu Fu, Yang Zhang, Zhendong Gao, Yue Zhao, Zhexu Wen, Han Han, Yuan Li, Haiquan Chen
International Journal of Cancer.2020; 147(2): 584. CrossRef
GSG2 (Haspin) promotes development and progression of bladder cancer through targeting KIF15 (Kinase-12)
Yuhao Chen, Dian Fu, Hai Zhao, Wen Cheng, Feng Xu
Aging.2020; 12(10): 8858. CrossRef
Identification of Metastasis-Associated Biomarkers in Synovial Sarcoma Using Bioinformatics Analysis
Yan Song, Xiaoli Liu, Fang Wang, Xiaoying Wang, Guanghui Cheng, Changliang Peng
Frontiers in Genetics.2020;[Epub] CrossRef
Identification of Hub Genes in Anaplastic Thyroid Carcinoma: Evidence From Bioinformatics Analysis
Liqi Li, Mingjie Zhu, Hu Huang, Junqiang Wu, Dong Meng
Technology in Cancer Research & Treatment.2020; 19: 153303382096213. CrossRef
Exploration and validation of a novel prognostic signature based on comprehensive bioinformatics analysis in hepatocellular carcinoma
Xiaofei Wang, Jie Qiao, Rongqi Wang
Bioscience Reports.2020;[Epub] CrossRef
Identification of candidate biomarkers correlated with the pathogenesis and prognosis of breast cancer via integrated bioinformatics analysis
Shuyu Liu, Xinkui Liu, Jiarui Wu, Wei Zhou, Mengwei Ni, Ziqi Meng, Shanshan Jia, Jingyuan Zhang, Siyu Guo, Shan Lu, Yingfei Li
Medicine.2020; 99(49): e23153. CrossRef
Identification of Potential Hub Genes Related to Diagnosis and Prognosis of Hepatitis B Virus-Related Hepatocellular Carcinoma via Integrated Bioinformatics Analysis
Yuqin Tang, Yongqiang Zhang, Xun Hu, Nagarajan Raju
BioMed Research International.2020; 2020: 1. CrossRef
KIF14 and KIF23 Promote Cell Proliferation and Chemoresistance in HCC Cells, and Predict Worse Prognosis of Patients with HCC
Chunxia Cheng, Xingxing Wu, Yu Shen, Quanxi Li
Cancer Management and Research.2020; Volume 12: 13241. CrossRef
Identification of KIF11 as a Novel Target in Meningioma
Gerhard Jungwirth, Tao Yu, Mahmoud Moustafa, Carmen Rapp, Rolf Warta, Christine Jungk, Felix Sahm, Steffen Dettling, Klaus Zweckberger, Katrin Lamszus, Christian Senft, Mario Loehr, Almuth F. Keßler, Ralf Ketter, Manfred Westphal, Juergen Debus, Andreas v
Cancers.2019; 11(4): 545. CrossRef
Knockdown of Kinase Family 15 Inhibits Cancer Cell Proliferation In vitro and its Clinical Relevance in Triple-Negative Breast Cancer
Jiayu Sheng, Xiaohong Xue, Ke Jiang
Current Molecular Medicine.2019; 19(2): 147. CrossRef

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Using the Lymph Node Ratio to Evaluate the Prognosis of Stage II/III Breast Cancer Patients Who Received Neoadjuvant Chemotherapy and Mastectomy: San-Gang Wu, Qun Li, Juan Zhou, Jia-Yuan Sun, Feng-Yan Li, Qin Lin, Huan-Xin Lin, Xun-Xing Gaun, Zhen-Yu He; Cancer Res Treat. 2015;47(4):757-764. Published online December 8, 2014; DOI: https://doi.org/10.4143/crt.2014.039

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Purpose
This study was conducted to investigate the prognostic value of lymph node ratio (LNR) in stage II/III breast cancer patients who undergo mastectomy after neoadjuvant chemotherapy.
Materials and Methods
Clinical and pathological data describing stage II/III breast cancer patients were included in this retrospective study. The primary outcomes were locoregional recurrence-free survival (LRFS), distant metastasis-free survival (DMFS), disease-free survival (DFS), and overall survival (OS).
Results
Among 277 patients, there were 43 ypN0, 64 ypN1, 89 ypN2, and 81 ypN3 cases. Additionally, there were 43, 57, 92 and 85 cases in the LNR 0, 0.01-0.20, 0.21-0.65, and > 0.65 groups, respectively. The median follow-up was 49.5 months. Univariate analysis showed that both ypN stage and LNR were prognostic factors of LRFS, DMFS, DFS, and OS (p < 0.05). Multivariate analysis showed that LNR was an independent prognostic factor of LRFS, DMFS, DFS, and OS (p < 0.05), while ypN stage had no effect on prognosis (p > 0.05).
Conclusion
The integrated use of LNR and ypN may be suitable for evaluation the prognosis of stage II/III breast cancer patients who undergo mastectomy after neoadjuvant chemotherapy.

Citations

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Prognosis and influencing factors of ER-positive, HER2-low breast cancer patients with residual disease after neoadjuvant chemotherapy: a retrospective study
Lingfeng Tang, Linshan Jiang, Xiujie Shu, Yudi Jin, Haochen Yu, Shengchun Liu
Scientific Reports.2024;[Epub] CrossRef
Prognostic disparities in young patients based on breast cancer subtype: A population-based study from the SEER database
Bing Chen, Xiaojuan Zhang, Yi Liu, Chuandong Wang
Medicine.2023; 102(13): e33416. CrossRef
The Effect of Lymph Node Harvest on Prognosis in Locally Advanced Middle-Low Rectal Cancer After Neoadjuvant Chemoradiotherapy
Zhuangbin Lin, Xiaobo Li, Jianyuan Song, Rong Zheng, Cheng Chen, Anchuan Li, Benhua Xu
Frontiers in Oncology.2022;[Epub] CrossRef
Breast Cancer Patients With Positive Apical or Infraclavicular/Ipsilateral Supraclavicular Lymph Nodes Should Be Excluded in the Application of the Lymph Node Ratio System
Zhe Wang, Wei Chong, Huikun Zhang, Xiaoli Liu, Yawen Zhao, Zhifang Guo, Li Fu, Yongjie Ma, Feng Gu
Frontiers in Cell and Developmental Biology.2022;[Epub] CrossRef
Is Pathologic Axillary Staging Valid If Lymph Nodes Are Less than 10 with Axillary Lymph Node Dissection after Neoadjuvant Chemotherapy?
Hee Jun Choi, Jai Min Ryu, Jun Ho Lee, Yoonju Bang, Jongwook Oh, Byung-Joo Chae, Seok Jin Nam, Seok Won Kim, Jeong Eon Lee, Se Kyung Lee, Jonghan Yu
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A novel nomogram for predicting locoregional recurrence risk in breast cancer patients treated with neoadjuvant chemotherapy and mastectomy
Zhou Huang, Mei Shi, Wei-Hu Wang, Liang-Fang Shen, Yu Tang, Qing-Lin Rong, Li Zhu, Xiao-Bo Huang, Jian Tie, Jia-Yi Chen, Jun Zhang, Hong-Fen Wu, Jing Cheng, Min Liu, Chang-Ying Ma, Shu-Lian Wang, Ye-Xiong Li
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Lymph node ratio as best prognostic factor in triple‐negative breast cancer patients with residual disease after neoadjuvant chemotherapy
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Development and validation of a nomogram incorporating axillary lymph node ratio to predict survival in node-positive breast cancer patients after neoadjuvant chemotherapy
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Lymph node ratio as an alternative to pN staging for predicting prognosis after neoadjuvant chemotherapy in breast cancer
Dong Hui Cho, Soo Youn Bae, Ji Young You, Hong Kyu Kim, Young Woo Chang, Yoo Jin Choi, Sang Uk Woo, Gil Soo Son, Jae Bok Lee, Jeoung Won Bae, Seung Pil Jung
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Ganglio secundario como indicador de linfadenectomía axilar en pacientes afectas de cáncer de mama
Manel Cremades, Mireia Torres, Montse Solà, Jordi Navinés, Icíar Pascual, Antonio Mariscal, Albert Caballero, Eva Castellà, Miguel Ángel Luna, Joan Francesc Julián
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Secondary Node Analysis as an Indicator for Axillary Lymphadenectomy in Breast Cancer Patients
Manel Cremades, Mireia Torres, Montse Solà, Jordi Navinés, Icíar Pascual, Antonio Mariscal, Albert Caballero, Eva Castellà, Miguel Ángel Luna, Joan Francesc Julián
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Lymph Node Ratio Analysis After Neoadjuvant Chemotherapy is Prognostic in Hormone Receptor-Positive and Triple-Negative Breast Cancer
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Number of negative lymph nodes as a prognostic factor for ypN0-N1 breast cancer patients undergoing neoadjuvant chemotherapy
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Ovarian Ablation Using Goserelin Improves Survival of Premenopausal Patients with Stage II/III Hormone Receptor-Positive Breast Cancer without Chemotherapy-Induced Amenorrhea: Juan Zhou, San-Gang Wu, Jun-Jie Wang, Jia-Yuan Sun, Feng-Yan Li, Qin Lin, Huan-Xin Lin, Zhen-Yu He; Cancer Res Treat. 2015;47(1):55-63. Published online August 21, 2014; DOI: https://doi.org/10.4143/crt.2013.165

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Purpose
The purpose of this study was to assess the value of ovarian ablation using goserelin in premenopausal patients with stage II/III hormone receptor-positive breast cancer without chemotherapy-induced amenorrhea (CIA). Materials and Methods We retrospectively reviewed the data of breast patients treated between October 1999 and November 2007 without CIA. The Kaplan-Meier method was used for calculation of the survival rate. Log rank method and Cox regression analysis were used for univariate and multivariate prognostic analysis. Results The median follow-up period was 61 months. Initially, 353 patients remained without CIA after chemotherapy and 98 among those who received goserelin and tamoxifen (TAM). In univariate analysis, goserelin improved locoregional recurrence-free survival (LRFS) (98.9% vs. 94.1%, p=0.041), distant metastasis-free survival (DMFS) (85.4% vs. 71.9%, p=0.006), disease-free survival (DFS) (85.4% vs. 71.6%, p=0.005), and overall survival (OS) (93.5% vs. 83.5%, p=0.010). In multivariate analysis, goserelin treatment was an independent factor influencing DMFS (hazard ratio [HR], 1.603; 95% confidence interval [CI], 1.228 to 2.092; p=0.001), DFS (HR, 1.606; 95% CI, 1.231 to 2.096; p=0.001), and OS (HR, 3.311; 95% CI, 1.416 to 7.742; p=0.006). In addition, treatment with goserelin resulted in significantly improved LRFS (p=0.039), DMFS (p=0.043), DFS (p=0.036), and OS (p=0.010) in patients aged < 40 years. In patients aged ≥ 40 years, goserelin only improved DMFS (p=0.028) and DFS (p=0.027). Conclusion Ovarian ablation with goserelin plus TAM resulted in significantly improved therapeutic efficacy in premenopausal patients with stage II/III hormone receptor-positive breast cancer without CIA.

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