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Related Experiment Video

Updated: Jun 26, 2026

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

[Biomarker].

Takayuki Ueno¹, Masakazu Toi

¹Dept. of Surgery, Kyoto University Graduate School of Medicine, Japan.

Gan to Kagaku Ryoho. Cancer & Chemotherapy

|January 20, 2009

Summary

This summary is machine-generated.

Biomarkers are crucial for breast cancer management, aiding diagnosis and treatment selection. Understanding these molecular indicators is key to advancing personalized medicine and improving patient outcomes.

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Last Updated: Jun 26, 2026

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Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies

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Published on: January 28, 2014

Area of Science:

Oncology
Molecular Biology
Biochemistry

Context:

Biomarkers are integral to breast cancer management, influencing diagnosis, treatment selection, and monitoring.
Current strategies rely on hormone receptor and HER2 status, but research is expanding to novel biomarkers.
Gene expression profiles and circulating cells are emerging as critical tools.

Purpose:

To highlight the pivotal role of biomarkers in breast cancer.
To discuss the evolving landscape of breast cancer biomarkers beyond traditional markers.
To emphasize the necessity of biomarker comprehension for personalized medicine.

Summary:

Biomarkers are essential for breast cancer diagnosis, treatment selection, and monitoring.
Novel biomarkers, including gene expression profiles and circulating tumor/endothelial cells, are being investigated to predict treatment efficacy.
Understanding these diverse biomarkers is fundamental for the advancement of personalized breast cancer care.

Impact:

Facilitates more accurate breast cancer diagnosis and prognosis.
Enables tailored treatment selection, optimizing therapeutic efficacy.
Supports continuous monitoring of treatment response and disease progression.
Drives the development of personalized medicine approaches in oncology.