Dynamic changes in serum adenosine and the adenosine metabolism-based signature for prognosis in HER2-positive metastatic breast cancer patients

The dynamic change of adenosine is a predictive biomarker for monitoring disease progression. The adenosine metabolism-based signature has the potential application in the prognosis of HER2-positive MBC patients.

Authors

Institutions

Publication Details

Journal
Heliyon
Published
2024-10-24
DOI
https://doi.org/10.1016/j.heliyon.2024.e39545
Primary Topic
Adenosine and Purinergic Signaling
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Dynamic changes in serum adenosine and the adenosine metabolism-based signature for prognosis in HER2-positive metastatic breast cancer patients

Yizhi Ge, Dan Zong, Xiayun He, Lijun Wang et al.
Heliyon
Adenosine and Purinergic Signaling
article

Dynamic changes in serum adenosine and the adenosine metabolism-based signature for prognosis in HER2-positive metastatic breast cancer patients

Yizhi Ge, Dan Zong, Xiayun He, Lijun Wang, Yang Li, Yin Li, Jianfeng Wu
article en

Abstract

The dynamic change of adenosine is a predictive biomarker for monitoring disease progression. The adenosine metabolism-based signature has the potential application in the prognosis of HER2-positive MBC patients.

HeliyonVol. 10(23)
Jiangsu Cancer Hospital (CN)
National Natural Science Foundation of China, Wu Jieping Medical Foundation
Good health and well-being
Openalex Percentile: Top 82%
Adenosine and Purinergic Signaling
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.