ArticleJournal of clinical laboratory analysis2020
A-kinase interacting protein 1 might serve as a novel biomarker for worse prognosis through the interaction of chemokine (C-X-C motif) ligand 1/chemokine (C-X-C motif) ligand 2 in acute myeloid leukemia.
Article in Journal of clinical laboratory analysis, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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The trial behind it
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Who cites it
7 citing papers in PubMed, 11 citations in OpenAlex.
- The Clinical Significance and Involvement in Molecular Cancer Processes of Chemokine CXCL1 in Selected Tumors.International journal of molecular sciences · 2024Review
- Review
- AKIP1 promotes glioblastoma viability, mobility and chemoradiation resistance via regulating CXCL1 and CXCL8 mediated NF-κB and AKT pathways.American journal of cancer research · 2021Article
- A-kinase interacting protein 1 as a potential biomarker of advanced tumor features and increased recurrence risk in papillary thyroid carcinoma patients.Journal of clinical laboratory analysis · 2020Article
- A-kinase interacting protein 1 might serve as a novel biomarker for worse prognosis through the interaction of chemokine (C-X-C motif) ligand 1/chemokine (C-X-C motif) ligand 2 in acute myeloid leukemia.Journal of clinical laboratory analysis · 2020Article
- Risk Stratification in Acute Myeloid Leukemia Using CXCR Gene Signatures: A Bioinformatics Analysis.Frontiers in oncology · 2020Article
- Correlation of A-Kinase Interacting Protein 1 With Clinical Features, Treatment Response, and Survival Profiles in Patients With Multiple Myeloma.Technology in cancer research & treatmentArticle
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThis study aimed to explore the association of A-kinase interacting protein 1 (AKIP1) with chemokine (C-X-C motif) ligand (CXCL) 1/CXCL2, and further investigate their correlation with clinical features and prognosis in acute myeloid leukemia (AML) patients.
methodsTotally 160 de novo AML patients were recruited, and their bone marrow samples were collected before treatment for detecting the expressions of AKIP1, CXCL1, and CXCL2 by the quantitative polymerase chain reaction. Complete remission (CR) was assessed after induction treatment, and event-free survival (EFS) and overall survival (OS) were calculated.
resultsAKIP1 expression was positively associated with CXCL1 (P < .001) and CXCL2 expression (P < .001). AKIP1 high expression was correlated with FAB classification (P = .022), monosomal karyotype (P = .001), and poor risk stratification (P = .013), while CXCL2 high expression was associated with monosomal karyotype (P = .001). As for treatment response, AKIP1 high expression exhibited a trend to be increased in non-CR patients compared with CR patients, while without statistical significance (P = .105). However, no correlation of CXCL1 (P = .418) or CXCL2 (P = .685) with CR achievement was observed. Most importantly, AKIP1 and CXCL1 were negatively correlated with accumulating EFS and OS (all P < .05), while CXCL2 only showed a trend to be negatively associated with accumulating EFS (P = .069) and OS (P = .055; but without statistical significance).
conclusionAKIP1 might serve as a novel biomarker for worse AML prognosis through the interaction of CXCL1/CXCL2.
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