A gp78/AMFR protein-driven gene signature that predicts breast cancer outcome.

Authors

Sandeep Singhal

Sandeep K. Singhal

Department of Pathology, School of Medicine and Health Sciences, University of North Dakota, Grand Forks, ND

Sandeep K. Singhal , Jung Byun , Samson Park , Tingfen Yan , Ryan Yancey , Ambar Caban , Clayton Yates , Paula Lucia Farré , Adriana De Siervi , Anna Napoles , Nasreen A. Vohra , Allan M. Weissman , Mei Yang , Yien Che Tsai , Kevin Gardner

Sign-In to See More Abstracts, Journal Articles, Posters, Videos and Slides and to Bookmark Your Favorite Content.

Disclaimer

This material on this page is ©2024 American Society of Clinical Oncology, all rights reserved. Licensing available upon request. For more information, please contact licensing@asco.org

Poster Details

Meeting

2021 ASCO Annual Meeting

Session Type

Poster Session

Session Title

Breast Cancer—Local/Regional/Adjuvant

Track

Breast Cancer

Sub Track

Biologic Correlates

Citation

J Clin Oncol 39, 2021 (suppl 15; abstr 553)

DOI

10.1200/JCO.2021.39.15_suppl.553

Abstract #

553

Poster Bd #

Online Only

Abstract Disclosures

Similar Posters

First Author: Sandeep K. Singhal

Poster

2020 ASCO Virtual Scientific Program

Machine learning algorithms to predict financial toxicity associated with breast cancer treatment.

Machine learning algorithms to predict financial toxicity associated with breast cancer treatment.

First Author: Chris Sidey-Gibbons

Poster

2018 ASCO Annual Meeting

Predictors of survival after loco-regional therapy (LRT) in stage 4 breast cancer (BC).

Predictors of survival after loco-regional therapy (LRT) in stage 4 breast cancer (BC).

First Author: Anuhya Kommalapati

First Author: Irene Wapnir