Literature DB >> 25085780

Heterogeneity research in muscle-invasive bladder cancer based on differential protein expression analysis.

Peng Fei Liu1, Yan Wei Cao, Hai Ping Jiang, Yong Hua Wang, Xue Cheng Yang, Xin Sheng Wang, Hai Tao Niu.   

Abstract

The aim of this study was to study the expression profiles of muscle-invasive bladder cancer (MIBC) cells of different risk groups and to explore the crucial role of biological pathway change in heterogeneity of MIBC cells. Thirty individual samples (cancer and non-cancerous specimens) were obtained from patients with MIBC. Laser capture microdissection was employed to harvest the homogeneous MIBC cells and normal urothelial cells. iTRAQ and 2D-LC-MS/MS were used to quantify and identify the differently expressed proteins. Then, the significantly changed proteins were further analyzed using Arraytrack ™ software. The interested proteins were compared with the published literatures to discuss the exact functions. A total of 3,073 non-redundant proteins were identified in this research; therefore, 855/2,210/633 (fold change >1.5 relative to normal group) presented in high-/median-/low-risk groups, respectively. 617/1,620/463 proteins with SWISS-ACC number output from Arraytrack ™ software and presented in high-/median-/low-risk groups, respectively. Pathway analysis revealed that the mainly changed pathways (top-10, p < 0.05) in Genetic information processing category were similar in high- and median-risk groups, including Kyoto Encyclopedia of Genes and Genomes (KEGG) spliceosome, protein export, ribosome pathways. The mainly altered pathways in Metabolism category included glycolysis/gluconeogenesis, pentose phosphate, pyruvate metabolism pathway for high-risk group, and glutathione metabolism, citrate cycle, oxidative phosphorylation pathways for median-risk group. The major changed pathways for low-risk group included focal adhesion pathway and ECM-receptor interaction pathway. The changed biological pathways are closely related to the regulation of heterogeneity for MIBC. The KEGG pathways of Genetic information processing category and Metabolism (anaerobic or aerobic) category play a crucial role in determining the malignant phenotype of MIBC cells. The quantification analysis of proteins combining with the KEGG pathway analysis contributes to screening candidate biomarkers and guides the biological molecular therapy of MIBC.

Entities:  

Mesh:

Substances:

Year:  2014        PMID: 25085780     DOI: 10.1007/s12032-014-0021-9

Source DB:  PubMed          Journal:  Med Oncol        ISSN: 1357-0560            Impact factor:   3.064


  24 in total

1.  Functional atlas of the integrin adhesome.

Authors:  Ronen Zaidel-Bar; Shalev Itzkovitz; Avi Ma'ayan; Ravi Iyengar; Benjamin Geiger
Journal:  Nat Cell Biol       Date:  2007-08       Impact factor: 28.824

2.  Yeast ribosomal protein S3 possesses a β-lyase activity on damaged DNA.

Authors:  Ki Moon Seong; Sang-Oun Jung; Hag Dong Kim; Hee Ju Kim; You-Jin Jung; Soo-Young Choi; Joon Kim
Journal:  FEBS Lett       Date:  2012-01-10       Impact factor: 4.124

Review 3.  Targeting glucose metabolism: an emerging concept for anticancer therapy.

Authors:  Brijesh M Madhok; Sashidhar Yeluri; Sarah L Perry; Thomas A Hughes; David G Jayne
Journal:  Am J Clin Oncol       Date:  2011-12       Impact factor: 2.339

4.  Transfection of S100A4 produces metastatic variants of an orthotopic model of bladder cancer.

Authors:  Diana Levett; Paul A Flecknell; Philip S Rudland; Roger Barraclough; David E Neal; J Kilian Mellon; Barry R Davies
Journal:  Am J Pathol       Date:  2002-02       Impact factor: 4.307

5.  LDHA is necessary for the tumorigenicity of esophageal squamous cell carcinoma.

Authors:  Feng Yao; Tiejun Zhao; Chenxi Zhong; Ji Zhu; Heng Zhao
Journal:  Tumour Biol       Date:  2012-09-08

6.  The epithelial-mesenchymal transition generates cells with properties of stem cells.

Authors:  Sendurai A Mani; Wenjun Guo; Mai-Jing Liao; Elinor Ng Eaton; Ayyakkannu Ayyanan; Alicia Y Zhou; Mary Brooks; Ferenc Reinhard; Cheng Cheng Zhang; Michail Shipitsin; Lauren L Campbell; Kornelia Polyak; Cathrin Brisken; Jing Yang; Robert A Weinberg
Journal:  Cell       Date:  2008-05-16       Impact factor: 41.582

Review 7.  Asparagine synthetase: regulation by cell stress and involvement in tumor biology.

Authors:  Mukundh N Balasubramanian; Elizabeth A Butterworth; Michael S Kilberg
Journal:  Am J Physiol Endocrinol Metab       Date:  2013-02-12       Impact factor: 4.310

Review 8.  Lactate dehydrogenase A in cancer: a promising target for diagnosis and therapy.

Authors:  Ping Miao; Shile Sheng; Xiaoguang Sun; Jianjun Liu; Gang Huang
Journal:  IUBMB Life       Date:  2013-11-07       Impact factor: 3.885

9.  S100A2 induces metastasis in non-small cell lung cancer.

Authors:  Etmar Bulk; Bülent Sargin; Utz Krug; Antje Hascher; Yu Jun; Markus Knop; Claus Kerkhoff; Volker Gerke; Ruediger Liersch; Rolf M Mesters; Marc Hotfilder; Alessandro Marra; Steffen Koschmieder; Martin Dugas; Wolfgang E Berdel; Hubert Serve; Carsten Müller-Tidow
Journal:  Clin Cancer Res       Date:  2009-01-01       Impact factor: 12.531

10.  Stromal proteome expression profile and muscle-invasive bladder cancer research.

Authors:  Haitao Niu; Haiping Jiang; Bo Cheng; Xinhui Li; Qian Dong; Leping Shao; Shiguo Liu; Xinsheng Wang
Journal:  Cancer Cell Int       Date:  2012-08-25       Impact factor: 5.722

View more
  8 in total

Review 1.  Developing proteomic biomarkers for bladder cancer: towards clinical application.

Authors:  Maria Frantzi; Agnieszka Latosinska; Leif Flühe; Marie C Hupe; Elena Critselis; Mario W Kramer; Axel S Merseburger; Harald Mischak; Antonia Vlahou
Journal:  Nat Rev Urol       Date:  2015-05-26       Impact factor: 14.432

2.  A bladder cancer microenvironment simulation system based on a microfluidic co-culture model.

Authors:  Peng-fei Liu; Yan-wei Cao; Shu-dong Zhang; Yang Zhao; Xiao-guang Liu; Hao-qing Shi; Ke-yao Hu; Guan-qun Zhu; Bo Ma; Hai-tao Niu
Journal:  Oncotarget       Date:  2015-11-10

3.  Bladder cancer cells re-educate TAMs through lactate shuttling in the microfluidic cancer microenvironment.

Authors:  Yang Zhao; Degui Wang; Ting Xu; Pengfei Liu; Yanwei Cao; Yonghua Wang; Xuecheng Yang; Xiaodong Xu; Xinsheng Wang; Haitao Niu
Journal:  Oncotarget       Date:  2015-11-17

4.  Integrative Analysis Identified MCT4 as an Independent Prognostic Factor for Bladder Cancer.

Authors:  Yang Zhao; Bin Zhao; Wei-Hua Yan; Yan Xia; Zhi-Hui Wang; Guo-Yang Zheng; Wen-Da Wang; Yu-Shi Zhang
Journal:  Front Oncol       Date:  2021-08-26       Impact factor: 6.244

5.  Anti-cancer effect of LINC00478 in bladder cancer correlates with KDM1A-dependent MMP9 demethylation.

Authors:  Han-Jie Yang; Tian Liu; Yang Xiong
Journal:  Cell Death Discov       Date:  2022-05-03

6.  Proteomics analysis of bladder cancer invasion: Targeting EIF3D for therapeutic intervention.

Authors:  Agnieszka Latosinska; Marika Mokou; Manousos Makridakis; William Mullen; Jerome Zoidakis; Vasiliki Lygirou; Maria Frantzi; Ioannis Katafigiotis; Konstantinos Stravodimos; Marie C Hupe; Maciej Dobrzynski; Walter Kolch; Axel S Merseburger; Harald Mischak; Maria G Roubelakis; Antonia Vlahou
Journal:  Oncotarget       Date:  2017-04-20

7.  Pim1 promotes cell proliferation and regulates glycolysis via interaction with MYC in ovarian cancer.

Authors:  Yong Wu; Yu Deng; Jun Zhu; Yachen Duan; WeiWei Weng; Xiaohua Wu
Journal:  Onco Targets Ther       Date:  2018-10-09       Impact factor: 4.147

8.  Bioinformatics Analysis to Screen the Key Prognostic Genes in Tumor Microenvironment of Bladder Cancer.

Authors:  Zhao Zhang; Dongshan Chen; Zeyan Li; Zhao Liu; Lei Yan; Zhonghua Xu
Journal:  Biomed Res Int       Date:  2020-02-17       Impact factor: 3.411

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.