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

Dongyoon ShinJoonho ParkDohyun HanJi Hye MoonHan Suk RyuYoungsoo Kim
Published in: Clinical proteomics (2020)
Our report is the first study to examine the distant metastatic breast cancer proteome using FFPE tissues. The depth of our dataset allowed us to discover a novel biomarker candidate and a proteomic characteristics of distant metastatic breast cancer. Distinct molecular features of various breast cancer subtypes were also established. Our proteomic data constitute a valuable resource for research on distant metastatic breast cancer.
Keyphrases
  • metastatic breast cancer
  • lymph node
  • gene expression
  • label free
  • big data
  • machine learning
  • young adults
  • mass spectrometry
  • single molecule