Literature DB >> 21080727

Quantitative proteomic analysis of tumor reversion in multiple myeloma cells.

Feng Ge1, Liang Zhang, Sheng-Ce Tao, Kaio Kitazato, Zhi-Ping Zhang, Xian-En Zhang, Li-Jun Bi.   

Abstract

Tumor reversion is defined as the process by which cancer cells lose their malignant phenotype. However, relatively little is known about the cellular proteome changes that occur during the reversion process. A biological model of multiple myeloma (MM) reversion was established by using the H-1 parvovirus as a tool to select for revertant cells from MM cells. Isolated revertant cells displayed a strongly suppressed malignant phenotype both in vitro and in vivo. To explore possible mechanisms of MM reversion, the protein profiles of the revertant and parental MM cells were compared using a quantitative proteomic strategy termed SILAC-MS. Our results revealed that 379 proteins were either activated or inhibited during the reversion process, with a much greater proportion of the proteins, including STAT3, TCTP, CDC2, BAG2, and PCNA, being inhibited. Of these, STAT3, which is significantly down regulated, was selected for further functional studies. Inhibition of STAT3 expression by RNA interference resulted in suppression of the malignant phenotype and concomitant down regulation of TCTP expression, suggesting that myeloma reversion operates, at least in part, through inhibition of STAT3. Our results provide novel insights into the mechanisms of tumor reversion and suggest new alternative approaches for MM treatment.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 21080727     DOI: 10.1021/pr100992e

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  6 in total

Review 1.  Tumor reversion: a dream or a reality.

Authors:  Avantika Tripathi; Anjali Kashyap; Greesham Tripathi; Joni Yadav; Rakhi Bibban; Nikita Aggarwal; Kulbhushan Thakur; Arun Chhokar; Mohit Jadli; Ashok Kumar Sah; Yeshvandra Verma; Hatem Zayed; Amjad Husain; Alok Chandra Bharti; Manoj Kumar Kashyap
Journal:  Biomark Res       Date:  2021-05-06

2.  Proteomic analysis for finding serum pathogenic factors and potential biomarkers in multiple myeloma.

Authors:  Hong-Tao Zhang; En-Bing Tian; Yu-Ling Chen; Hai-Teng Deng; Qing-Tao Wang
Journal:  Chin Med J (Engl)       Date:  2015-04-20       Impact factor: 2.628

3.  Proteomic Alterations in Multiple Myeloma: A Comprehensive Study Using Bone Marrow Interstitial Fluid and Serum Samples.

Authors:  Venkatesh Chanukuppa; Ravindra Taware; Khushman Taunk; Tathagat Chatterjee; Sanjeevan Sharma; Venkatesan Somasundaram; Faraz Rashid; Dipankar Malakar; Manas K Santra; Srikanth Rapole
Journal:  Front Oncol       Date:  2021-01-29       Impact factor: 6.244

4.  MicroRNA-325 inhibits the proliferation and induces the apoptosis of T cell acute lymphoblastic leukemia cells in a BAG2-dependent manner.

Authors:  Fengyu Wang; Fengli Wang; Shengyu Zhang; Xiaogang Xu
Journal:  Exp Ther Med       Date:  2021-04-15       Impact factor: 2.447

5.  BAG2 Promotes Proliferation and Metastasis of Gastric Cancer via ERK1/2 Signaling and Partially Regulated by miR186.

Authors:  Lisha Sun; Guanglei Chen; Anqi Sun; Zheng Wang; Haibo Huang; Ziming Gao; Weitian Liang; Caigang Liu; Kai Li
Journal:  Front Oncol       Date:  2020-01-31       Impact factor: 6.244

6.  Highly expressed genes in multiple myeloma cells - what can they tell us about the disease?

Authors:  Magne Børset; Samah Elsaadi; Esten N Vandsemb; Eli Svorkdal Hess; Ida J Steiro; Miguel Cocera Fernandez; Anne-Marit Sponaas; Pegah Abdollahi
Journal:  Eur J Haematol       Date:  2022-03-20       Impact factor: 3.674

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.