Quantitative proteomics reveals stage-specific protein regulation of triple negative breast cancer.
Yuxiang LinLing LinFangmeng FuChuan WangAnqi HuJuanjuan XieMeichen JiangZhenxin WangLujie YangRongrong GuoPengyuan YangHuali ShenPublished in: Breast cancer research and treatment (2020)
Overall, our proteomic data presented precise quantification of potential signatures, signaling pathways, regulatory networks, and characteristic differences in each clinicopathological subgroup. The proteome provides complementary information for TNBC accurate subtype classification and therapeutic targets research.
Keyphrases
- label free
- high resolution
- signaling pathway
- machine learning
- mass spectrometry
- deep learning
- electronic health record
- big data
- transcription factor
- protein protein
- pi k akt
- genome wide
- amino acid
- health information
- human health
- binding protein
- epithelial mesenchymal transition
- healthcare
- clinical trial
- artificial intelligence
- dna methylation
- data analysis
- climate change
- cell proliferation
- endoplasmic reticulum stress
- double blind