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A salivary protein panel for detecting malignant transformation of oral leukoplakia

delete2026-07-01
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PRE
AI
Q
Qiu-Yun Fu
X
Xin-Xin Wang
Y
Yang Yong
J
Jun Zeng
X
Xiao-Xia Cheng
X
Xi Chen
X
Xiao-Le Wang
Q
Qiang-Qiang Han
S
Shao-Xin Huang
L
Li-Yun Yao
X
Xue-Peng Xiong
J
Jun Shang *
Q
Qing He *
G
Gang Chen *
DOI：10.1016/j.oraloncology.2026.108064delete
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Abstract

Abstract

En 中文
• Compared salivary proteomes of OLK patients and a well-defined cohort of OLK-associated OSCC patients. • Developed a non-invasive machine-learning salivary proteomic panel of five biomarkers to detect OLK malignant transformation. • This five-protein panel achieved an exceptional AUC of 0.89–0.94 in detecting malignant transformation. • scRNA-seq, 4NQO models, and an independent OSCC cohort validated the biomarkers and their oncogenic relevance.

Journal

Oral Oncology cover
Oral Oncology
IF:
3.9
Papers:
9.0K
Citations:
1.4W

Organization

S
specally life technology co., ltd.
Scholars:
12
Papers: 3
Citations: 0
W
wuhan university
Scholars:
7.8W
Papers: 5.7W
Citations: 70
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