Literature DB >> 29476606

Integrated Multi-Omic Analyses Support Distinguishing Secretory Carcinoma of the Breast from Basal-Like Triple-Negative Breast Cancer.

Min-Sun Jin1, Hyebin Lee2, Jongmin Woo3, Seongmin Choi4, Mi Sol Do3, Kwangsoo Kim4, Min Ji Song5, Youngsoo Kim3, In Ae Park5, Dohyun Han6, Han Suk Ryu5.   

Abstract

PURPOSE: Secretory carcinoma (SC) of the breast is defined as an indolent tumor but is still categorized into a basal-like triple-negative breast cancer (BL-TNBC) subgroup that generally shows aggressive behavior according to the current classification. Despite the unique clinical behavior of SC, molecular characteristics that reflect biological behaviors of SC remain largely unknown. EXPERIMENTAL
DESIGN: A combinatorial approach of whole-exome sequencing and mass spectrometry-based in-depth quantitative proteomics to determine the entire molecular landscape of SC using three SC formalin-fixed paraffin-embedded (FFPE) tissues is employed.
RESULTS: Exome sequencing and proteomic analysis of SC identified 419 unique somatic mutations and 721 differentially expressed proteins as compared with triple-negative breast cancer (TNBC), respectively. Several pathways related to cancer metabolism were significantly upregulated in the SC group. Comparative analyses with multiple datasets revealed that SC shares genomic mutations and biological pathways more closely related to hormone receptor-positive breast cancer than BL-TNBC. CONCLUSION AND CLINICAL RELEVANCE: These multi-omic analyses provide evidence that SC harbors substantially different molecular genomic and proteomic landscapes compared with BL-TNBC. These results provide an entire spectrum of in-depth molecular landscapes to support the hypothesis that SC is distinct from BL-TNBC.
© 2018 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Bioinformatics; Cancer genomics; Cancer proteomics; Secretory carcinoma of the breast; Triple-negative breast cancer

Mesh:

Substances:

Year:  2018        PMID: 29476606     DOI: 10.1002/prca.201700125

Source DB:  PubMed          Journal:  Proteomics Clin Appl        ISSN: 1862-8346            Impact factor:   3.494


  4 in total

1.  A Comprehensive Proteomic and Phosphoproteomic Analysis of Retinal Pigment Epithelium Reveals Multiple Pathway Alterations in Response to the Inflammatory Stimuli.

Authors:  Juha Song; Dohyun Han; Heonyi Lee; Da Jung Kim; Joo-Youn Cho; Jae-Hak Park; Seung Hyeok Seok
Journal:  Int J Mol Sci       Date:  2020-04-25       Impact factor: 5.923

Review 2.  Pure secretory carcinoma in situ: a case report and literature review.

Authors:  Ying Yang; Zhiyuan Wang; Guoqing Pan; Shumo Li; Yingying Wu; Liu Liu
Journal:  Diagn Pathol       Date:  2019-08-23       Impact factor: 2.644

3.  In-depth proteomic profiling captures subtype-specific features of craniopharyngiomas.

Authors:  Jung Hee Kim; Hyeyoon Kim; Kisoon Dan; Seong-Ik Kim; Sung-Hye Park; Dohyun Han; Yong Hwy Kim
Journal:  Sci Rep       Date:  2021-10-27       Impact factor: 4.379

4.  Identification of TUBB2A by quantitative proteomic analysis as a novel biomarker for the prediction of distant metastatic breast cancer.

Authors:  Dongyoon Shin; Joonho Park; Dohyun Han; Ji Hye Moon; Han Suk Ryu; Youngsoo Kim
Journal:  Clin Proteomics       Date:  2020-05-24       Impact factor: 3.988

  4 in total

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