Webinar Search for Novel Biomarkers in Plasma

Search for Novel Biomarkers in Plasma for Early Diagnosis of Breast Cancer by Integrating Proteomics and Clinical Data

Breast cancer (BC) is the most prevalent cancer in women and ranks as the second leading cause of cancer-related deaths. The key to improving survival rates lies in the early detection of BC, highlighting the critical role of screening methods. Blood-based biomarkers may offer an alternative, minimally invasive strategy to improve BC screening, with better sensitivity than the routinely used X-ray mammography.

The objective of this study was to identify protein biomarkers in human plasma samples for early diagnosis of breast cancer utilizing a UPLC-MRM-MS targeted proteomic platform. Multivariate data analysis (MVDA) and machine learning revealed protein biomarkers for specific BC subtypes based on clinical characteristics, which may serve as biomarkers for early diagnosis of BC and give the opportunity to subtype specific treatment.

What You Will Learn:

Discover how MVDA and machine learning can support biomarker discovery
Learn how to identify group separations based on clinical characteristics
Understand the value of incorporating clinical variables in proteomics data analysis to improve biological interpretation

Clear form data

Please Complete the Form

First Name *

Last Name *

Email *

Phone Number *

Company *

Job Title *

Address *

Country *

Postal Code *

I would like to sign up for newsletters from Sartorius (Sartorius AG and its affiliated companies) based of my personal interests.
I can revoke my consent at any time with effect for the future by sending an e-mail to unsubscribe@sartorius.com or by clicking on the "unsubscribe" link in e-mails I have received.

* These fields are required Information on the use of your data can be found in our privacy policy

Complete Form to Watch Online

Presenters

This webinar is co-presented by Kristrun Yr Holm and Valdís Gunnarsdóttir Thormar.

Kristrun Yr Holm holds a master’s degree in medical and life sciences from the University of Iceland. She is currently a PhD student at the Faculty of Pharmaceutical Sciences at the University of Iceland. In her PhD project, she is searching for novel biomarkers in human plasma for early breast cancer diagnosis.

Valdís Gunnarsdóttir Thormar holds a master’s degree in economics from Aarhus University and a bachelor’s degree in nutritional science from the University of Iceland. After a career as an IT consultant in international firms, she returned to academia and is now a PhD student at the Faculty of Medicine at the University of Iceland. Her research focuses on developing improved diagnostic methods for breast cancer through the identification of novel biomarkers.