Identification of circulating tumor cells marker genes as prognostic signature in triple-negative breast cancer

The CTCs signature model offers novel insights into the prognostic significance of CTC marker genes in TNBC. This understanding may serve as a valuable reference for predicting responses to immunotherapy and chemotherapy, as well as for revealing the molecular mechanisms and therapeutic targets of TNBC.

Authors

Institutions

Publication Details

Journal
Discover Oncology
Published
2025-05-24
DOI
https://doi.org/10.1007/s12672-025-02604-1
Primary Topic
Cancer Cells and Metastasis
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Identification of circulating tumor cells marker genes as prognostic signature in triple-negative breast cancer

Jia Hu, Xi Wang, Kaiming Zhang
Discover Oncology
Cancer Cells and Metastasis
article

Identification of circulating tumor cells marker genes as prognostic signature in triple-negative breast cancer

Jia Hu, Xi Wang, Kaiming Zhang
article en

Abstract

The CTCs signature model offers novel insights into the prognostic significance of CTC marker genes in TNBC. This understanding may serve as a valuable reference for predicting responses to immunotherapy and chemotherapy, as well as for revealing the molecular mechanisms and therapeutic targets of TNBC.

Discover OncologyVol. 16(1)
Sun Yat-sen University (CN), Sun Yat-sen University Cancer Center (CN)
National Natural Science Foundation of China
Good health and well-being
Openalex Percentile: Top 83%
Cancer Cells and Metastasis
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.