Back Cover: Label‐Free Quantitative Proteomic Screening of Candidate Plasma Biomarkers for the Prognosis of Breast Cancer with Different Lymph Node Statuses. Issue 3 (2nd May 2018)
- Record Type:
- Journal Article
- Title:
- Back Cover: Label‐Free Quantitative Proteomic Screening of Candidate Plasma Biomarkers for the Prognosis of Breast Cancer with Different Lymph Node Statuses. Issue 3 (2nd May 2018)
- Main Title:
- Back Cover: Label‐Free Quantitative Proteomic Screening of Candidate Plasma Biomarkers for the Prognosis of Breast Cancer with Different Lymph Node Statuses
- Authors:
- Chen, Ling
Zhao, Weibo
He, Jing
Li, Liqi
Meng, Dong
Cai, Dongyan
Yu, Jinjin
Chen, Daozhen
Wu, Yibo
Zhou, Tao - Abstract:
- Abstract : 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.
- Is Part Of:
- Proteomics. Volume 12:Issue 3(2018)
- Journal:
- Proteomics
- Issue:
- Volume 12:Issue 3(2018)
- Issue Display:
- Volume 12, Issue 3 (2018)
- Year:
- 2018
- Volume:
- 12
- Issue:
- 3
- Issue Sort Value:
- 2018-0012-0003-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2018-05-02
- Subjects:
- Proteomics -- Periodicals
572.605 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1862-8354 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/prca.201870021 ↗
- Languages:
- English
- ISSNs:
- 1862-8346
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6936.178500
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 6624.xml