Open Access
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 type: Journal Article
Publication date: 2025-01-21
scimago Q1
wos Q2
SJR: 0.962
CiteScore: 4.3
Impact factor: 3.3
ISSN: 15426416, 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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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
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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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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 -
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@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}
}