CanAssist Breast-based prognostication in low-intermediate estrogen receptor positive (ER <sup>1%–20%</sup> ) early-stage breast cancer patients helps guide treatment decisions

CAB-based risk stratification of ER<sup>1%-20%</sup> patients is significant and would add value in treatment decisions for additional targeted treatments to HR patients.

Authors

Publication Details

Journal
Therapeutic Advances in Medical Oncology
Published
2025-01-01
DOI
https://doi.org/10.1177/17588359251342218
Citations
1
Primary Topic
Breast Cancer Treatment Studies
Type
article
Field-Weighted Citation Impact
0.94
Controls
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article

CanAssist Breast-based prognostication in low-intermediate estrogen receptor positive (ER 1%–20% ) early-stage breast cancer patients helps guide treatment decisions

Susmita Ghosh, Badada Ananthamurthy Savitha, Manjiri M. Bakre, Naveen Krishnamoorthy et al.
1 citations
Therapeutic Advances in Medical Oncology
Breast Cancer Treatment Studies
0.94
article

CanAssist Breast-based prognostication in low-intermediate estrogen receptor positive (ER 1%–20% ) early-stage breast cancer patients helps guide treatment decisions

Susmita Ghosh, Badada Ananthamurthy Savitha, Manjiri M. Bakre, Naveen Krishnamoorthy, Payal Shrivastava, Manvi Sunder, Deepti K. Shivashimpi, Tejal Deepak Durgekar
article en
1 citations

Abstract

CAB-based risk stratification of ER<sup>1%-20%</sup> patients is significant and would add value in treatment decisions for additional targeted treatments to HR patients.

Therapeutic Advances in Medical OncologyVol. 17
Good health and well-being
Openalex Percentile: Top 25%
Breast Cancer Treatment Studies
0.94
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