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Back Cover: Label‐Free Quantitative Proteomic Screening of Candidate Plasma Biomarkers for the Prognosis of Breast Cancer with Different Lymph Node Statuses
Author(s) -
Chen Ling,
Zhao Weibo,
He Jing,
Li Liqi,
Meng Dong,
Cai Dongyan,
Yu Jinjin,
Chen Daozhen,
Wu Yibo,
Zhou Tao
Publication year - 2018
Publication title -
proteomics – clinical applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.948
H-Index - 54
eISSN - 1862-8354
pISSN - 1862-8346
DOI - 10.1002/prca.201870021
Subject(s) - breast cancer , lymph node , medicine , lymph , lymph node metastasis , oncology , cancer , cover (algebra) , metastasis , pathology , mechanical engineering , engineering
Patients with lymph node involvement have less favorable prognosis and higher risk of recurrence. A label‐free quantitative proteomic strategy is applied to construct plasma proteomes of ten patients with different lymph node statuses. The present dataset provides a list of candidate biomarkers that can be used for early diagnosis and prognosis of breast cancer with lymph node metastasis. This is reported by Ling Chen, Weibo Zhao, Jing He, Liqi Li, Dong Meng, Dongyan Cai, Jinjin Yu, Daozhen Chen, Yibo Wu and Tao Zhou, article number 1700117.