Longitudinal profiling of serum ADAM17 across clinical stages in multiple myeloma: a dynamic biomarker and its association with T cell alterations

Our data identify ADAM17 as an easily quantifiable, longitudinal biomarker that concurrently reflects tumor development stage and renal function damage in MM patients. Incorporation of ADAM17 into existing risk algorithms may enhance prognostic precision and enable earlier, patient-tailored intervention.

Authors

Institutions

Publication Details

Journal
Frontiers in Molecular Biosciences
Published
2026-01-30
DOI
https://doi.org/10.3389/fmolb.2026.1768193
Primary Topic
Multiple Myeloma Research and Treatments
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Longitudinal profiling of serum ADAM17 across clinical stages in multiple myeloma: a dynamic biomarker and its association with T cell alterations

Shumei Xiao, Jiao Qu, Qiubai LI, Yulin Cao et al.
Frontiers in Molecular Biosciences
Multiple Myeloma Research and Treatments
article

Longitudinal profiling of serum ADAM17 across clinical stages in multiple myeloma: a dynamic biomarker and its association with T cell alterations

Shumei Xiao, Jiao Qu, Qiubai LI, Yulin Cao, Xingshuo Bao, Zhichao Chen, Di Wu, Yancheng Li, Chenchen Li, Lei Chen
article en

Abstract

Our data identify ADAM17 as an easily quantifiable, longitudinal biomarker that concurrently reflects tumor development stage and renal function damage in MM patients. Incorporation of ADAM17 into existing risk algorithms may enhance prognostic precision and enable earlier, patient-tailored intervention.

Frontiers in Molecular BiosciencesVol. 13
First People’s Hospital of Jingmen (CN), Wuhan Union Hospital (CN), Jingzhou Central Hospital (CN), Union Hospital (CN), Huazhong University of Science and Technology (CN)
Natural Science Foundation of Hubei Province
Good health and well-being
Openalex Percentile: Top 74%
Multiple Myeloma Research and Treatments
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.