Trop-2 expression as a biomarker of response to sacituzumab govitecan in patients with HER2-negative metastatic breast cancer: A pilot study

In this study, Trop-2 expression did not predict excellent response versus non-response to SG in patients with HER2-negative MBC. Low Trop-2 expression, as determined by percentage staining, was predictive of shorter PFS, although the same association was not observed using the H-score. A complete lack of Trop-2 expression may predict SG ineffective, which requires further investigation.

Authors

Institutions

Publication Details

Journal
Cancer Treatment and Research Communications
Published
2025-01-01
DOI
https://doi.org/10.1016/j.ctarc.2025.100954
Citations
2
Primary Topic
HER2/EGFR in Cancer Research
Type
article
Field-Weighted Citation Impact
2.09

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Trop-2 expression as a biomarker of response to sacituzumab govitecan in patients with HER2-negative metastatic breast cancer: A pilot study

Joanne Mortimer, Min Han, Megan Wong, Christina Wei et al.
2 citations
Cancer Treatment and Research Communications
HER2/EGFR in Cancer Research
2.09
article

Trop-2 expression as a biomarker of response to sacituzumab govitecan in patients with HER2-negative metastatic breast cancer: A pilot study

Joanne Mortimer, Min Han, Megan Wong, Christina Wei, Nora Ruel, Alexis LeVee, Daniel Schmolze
article en
2 citations

Abstract

In this study, Trop-2 expression did not predict excellent response versus non-response to SG in patients with HER2-negative MBC. Low Trop-2 expression, as determined by percentage staining, was predictive of shorter PFS, although the same association was not observed using the H-score. A complete lack of Trop-2 expression may predict SG ineffective, which requires further investigation.

Cancer Treatment and Research CommunicationsVol. 44
City of Hope (US)
National Institutes of Health, National Cancer Institute
Good health and well-being
Openalex Percentile: Top 12%
HER2/EGFR in Cancer Research
2.09
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.