Literature DB >> 22894699

In situ identification and localization of IGHA2 in the breast tumor microenvironment by mass spectrometry.

Suki Kang1, Heysun Maeng, Baek Gil Kim, Gao Ming Qing, Yoon Pyo Choi, Hak Yong Kim, Pan Soo Kim, Yangsun Kim, Young Hwan Kim, Young Deuk Choi, Nam Hoon Cho.   

Abstract

Modifications in the tumor microenvironment (TME) play a major role in the establishment, progression, and metastasis of cancer. Matrix-assisted laser desorption/ionization-mass spectrometry imaging (MALDI-MSI) is a powerful technique that enables the simultaneous identification and localization of biological compounds within tissues. To detect markers of early TME remodeling in invasive breast cancer, we used MALDI-MSI to compare the molecular profiles of tissues from the breast cancer interface zone, tumor zone, and normal-tissue zone. Using direct-tissue MALDI tandem mass spectrometry (MS/MS), we identified immunoglobulin heavy constant alpha 2 (IGHA2) as a new, zone-specific protein in the breast TME. The zone-specific expression of IGHA2 was verified by immunoblotting and immunohistochemical analysis. IGHA2 expression was consistently positive in tumor cells that were metastatic to regional nodes, with intense expression along the cytoplasmic borders. As a factor related to an increased percentage of nodes with tumor metastasis, IGHA2 expression was upregulated 3.745-fold in cases with an increased number of cancerous nodes (p = 0.0468). Our results provide the first evidence of IGHA2 as a marker of the early process of TME remodeling in invasive breast cancer. Furthermore, IGHA2 may be a novel marker for regional metastases in the lymph nodes of patients with breast cancer.

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Year:  2012        PMID: 22894699     DOI: 10.1021/pr3003672

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


  9 in total

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3.  Imaging Mass Spectrometry and Proteome Analysis of Marek's Disease Virus-Induced Tumors.

Authors:  V I Pauker; L D Bertzbach; A Hohmann; A Kheimar; J P Teifke; T C Mettenleiter; A Karger; B B Kaufer
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Review 4.  Immunoglobulin Expression in Cancer Cells and Its Critical Roles in Tumorigenesis.

Authors:  Ming Cui; Jing Huang; Shenghua Zhang; Qiaofei Liu; Quan Liao; Xiaoyan Qiu
Journal:  Front Immunol       Date:  2021-03-24       Impact factor: 7.561

5.  Machine learning-aided protein identification from multidimensional signatures.

Authors:  Yuewen Zhang; Maya A Wright; Kadi L Saar; Pavankumar Challa; Alexey S Morgunov; Quentin A E Peter; Sean Devenish; Christopher M Dobson; Tuomas P J Knowles
Journal:  Lab Chip       Date:  2021-06-10       Impact factor: 6.799

6.  A Novel Signature Integrated of Immunoglobulin, Glycosylation and Anti-Viral Genes to Predict Prognosis for Breast Cancer.

Authors:  Shengshan Xu; Yuchen Liu; Hansu Ma; Shuo Fang; Shoupeng Wei; Xiaoping Li; Zhuming Lu; Youbin Zheng; Tong Liu; Xiaojian Zhu; Dongming Xu; Yihang Pan
Journal:  Front Genet       Date:  2022-04-01       Impact factor: 4.772

7.  A novel pyroptosis-related indicator of immune infiltration features and prognosis in breast cancer.

Authors:  Cheng Wang; Liyong Zhang; Lin Ren; Guozhi Zhang; Andi Wan; Siyi Xiong; Hao Tian; Zaihui Peng; Tingting Zhao; Pingping Gao; Na Sun; Yi Zhang; Xiaowei Qi
Journal:  Front Oncol       Date:  2022-09-07       Impact factor: 5.738

Review 8.  Applications of MALDI-MS/MS-Based Proteomics in Biomedical Research.

Authors:  Laura Darie-Ion; Danielle Whitham; Madhuri Jayathirtha; Yashveen Rai; Anca-Narcisa Neagu; Costel C Darie; Brînduşa Alina Petre
Journal:  Molecules       Date:  2022-09-21       Impact factor: 4.927

9.  Identification of a six-gene signature associated with tumor mutation burden for predicting prognosis in patients with invasive breast carcinoma.

Authors:  Feiran Wang; Chong Tang; Xuesong Gao; Junfei Xu
Journal:  Ann Transl Med       Date:  2020-04
  9 in total

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