Open Access
Open access
volume 22 issue 1 publication number 3

ARTN and CCL23 predicted chemosensitivity in acute myeloid leukemia: an Olink® proteomics approach

Ting-Shuan Wu 1, 2
Tzu-Hung Hsiao 3, 4, 5, 6
Chung-Hsing Chen 7
Hsin-Ni Li 8, 9
Miao-Neng Hung 1
Pei-Pei Jhan 3
Jia-Rung Tsai 10
Chieh-Lin Jerry Teng 9, 10, 11, 12, 13, 14
1
 
Department of BioMedical Sciences, Chung Shan Medical University, Taichung, Taiwan
2
 
Department of Medical Research, Chung Shan Medical University Hospital, Taichung, Taiwan
3
 
Department of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan
7
 
Department of Mathematics, University of Taipei, Taipei, Taiwan
8
 
Department of Pathology and Laboratory Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
10
 
Division of Hematology/Medical Oncology, Department of Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
12
 
School of medicine, Chung Shan Medical University, Taichung, Taiwan
Publication typeJournal Article
Publication date2025-01-21
scimago Q1
wos Q2
SJR0.962
CiteScore4.3
Impact factor3.3
ISSN15426416, 15590275
Abstract
The standard “7 + 3” induction results in 30% of de novo acute myeloid leukemia (AML) patients not achieving complete remission (CR). We aimed to utilize the Olink® platform to compare the bone marrow plasma proteomic profiles of newly diagnosed de novo AML patients who did and did not achieve CR following “7 + 3” induction treatment. This prospective study included 43 untreated AML patients, stratified into CR (n = 29) and non-CR (n = 14) groups based on their response to “7 + 3” induction therapy. We employed the Olink® Explore-384 Inflammation platform for proteomic analysis to investigate differences in bone marrow plasma protein levels between the CR and non-CR groups. Proteomic analysis demonstrated that the CR group exhibited significantly higher bone marrow plasma levels of ARTN and CCL23 than did the non-CR group. Immunohistochemical staining confirmed a higher proportion of tissue samples with intense staining for ARTN (25.40% vs. 7.05%, p = 0.013) and CCL23 (24.14% vs. 14.29%, p = 0.039) in the CR group. These findings were corroborated by bulk-RNA-seq, which indicated significantly elevated mRNA expression levels of ARTN (1.93 vs. -0.09; p = 0.003) and CCL23 (1.50 vs. 0.12; p = 0.021) in the CR group. The Human Protein Atlas provided external support for our findings. The results suggest that ARTN and CCL23 may serve as biomarkers for predicting responsiveness to the “7 + 3” induction in untreated AML. Using an enzyme-linked immunosorbent assay to identify the roles of ARTN and CCL23 in predicting AML chemosensitivity may enhance clinical applicability in the future.
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GOST Copy
Wu T. et al. ARTN and CCL23 predicted chemosensitivity in acute myeloid leukemia: an Olink® proteomics approach // Clinical Proteomics. 2025. Vol. 22. No. 1. 3
GOST all authors (up to 50) Copy
Wu T., Hsiao T., Chen C., Li H., Hung M., Jhan P., Tsai J., Teng C. J. ARTN and CCL23 predicted chemosensitivity in acute myeloid leukemia: an Olink® proteomics approach // Clinical Proteomics. 2025. Vol. 22. No. 1. 3
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RIS Copy
TY - JOUR
DO - 10.1186/s12014-025-09527-7
UR - https://clinicalproteomicsjournal.biomedcentral.com/articles/10.1186/s12014-025-09527-7
TI - ARTN and CCL23 predicted chemosensitivity in acute myeloid leukemia: an Olink® proteomics approach
T2 - Clinical Proteomics
AU - Wu, Ting-Shuan
AU - Hsiao, Tzu-Hung
AU - Chen, Chung-Hsing
AU - Li, Hsin-Ni
AU - Hung, Miao-Neng
AU - Jhan, Pei-Pei
AU - Tsai, Jia-Rung
AU - Teng, Chieh-Lin Jerry
PY - 2025
DA - 2025/01/21
PB - Springer Nature
IS - 1
VL - 22
SN - 1542-6416
SN - 1559-0275
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2025_Wu,
author = {Ting-Shuan Wu and Tzu-Hung Hsiao and Chung-Hsing Chen and Hsin-Ni Li and Miao-Neng Hung and Pei-Pei Jhan and Jia-Rung Tsai and Chieh-Lin Jerry Teng},
title = {ARTN and CCL23 predicted chemosensitivity in acute myeloid leukemia: an Olink® proteomics approach},
journal = {Clinical Proteomics},
year = {2025},
volume = {22},
publisher = {Springer Nature},
month = {jan},
url = {https://clinicalproteomicsjournal.biomedcentral.com/articles/10.1186/s12014-025-09527-7},
number = {1},
pages = {3},
doi = {10.1186/s12014-025-09527-7}
}