Recent advances of transcriptomics and proteomics in triple‐negative breast cancer prognosis assessment
Author(s) -
Li Yuan,
Kong Xiangyi,
Wang Zhongzhao,
Xuan Lixue
Publication year - 2022
Publication title -
journal of cellular and molecular medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.44
H-Index - 130
eISSN - 1582-4934
pISSN - 1582-1838
DOI - 10.1111/jcmm.17124
Subject(s) - proteomics , breast cancer , triple negative , cancer , triple negative breast cancer , transcriptome , oncology , computational biology , medicine , bioinformatics , biology , gene expression , gene , genetics
Triple‐negative breast cancer (TNBC), a heterogeneous tumour that lacks the expression of oestrogen receptor (ER), progesterone receptor (PR) and human epidermal growth factor receptor 2 (HER2), is often characterized by aggressiveness and tends to recur or metastasize. TNBC lacks therapeutic targets compared with other subtypes and is not sensitive to endocrine therapy or targeted therapy except chemotherapy. Therefore, identifying the prognostic characteristics and valid therapeutic targets of TNBC could facilitate early personalized treatment. Due to the rapid development of various technologies, researchers are increasingly focusing on integrating ‘big data’ and biological systems, which is referred to as ‘omics’, as a means of resolving it. Transcriptomics and proteomics analyses play an essential role in exploring prospective biomarkers and potential therapeutic targets for triple‐negative breast cancers, which provides a powerful engine for TNBC’s therapeutic discovery when combined with complementary information. Here, we review the recent progress of TNBC research in transcriptomics and proteomics to identify possible therapeutic goals and improve the survival of patients with triple‐negative breast cancer. Also, researchers may benefit from this article to catalyse further analysis and investigation to decipher the global picture of TNBC cancer.
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