Evidence map›Paper›PMID 39164937›Full record

ArticleEpigenetics2024

Integration of miRNA expression analysis of purified leukocytes and whole blood reveals blood-borne candidate biomarkers for lung cancer.

Guini Hong, Yue Huo, Yaru Gao, Liyuan Ma, Shuang Li, Tian Tian, Haijian Zhong, Hongdong Li

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In one paragraph

Article in Epigenetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Guini HongSchool of Medical Information Engineering, Gannan Medical University, Ganzhou, China.
Yue HuoSchool of Public Health and Health Management, Gannan Medical University, Ganzhou, China.
Yaru GaoSchool of Public Health and Health Management, Gannan Medical University, Ganzhou, China.
Liyuan MaSchool of Public Health and Health Management, Gannan Medical University, Ganzhou, China.
Shuang LiSchool of Medical Information Engineering, Gannan Medical University, Ganzhou, China.
Tian TianSchool of Medical Information Engineering, Gannan Medical University, Ganzhou, China.
Haijian ZhongSchool of Medical Information Engineering, Gannan Medical University, Ganzhou, China.
Hongdong LiSchool of Medical Information Engineering, Gannan Medical University, Ganzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Changes in leukocyte populations may confound the disease-associated miRNA signals in the blood of cancer patients. We aimed to develop a method to detect differentially expressed miRNAs from lung cancer whole blood samples that are not influenced by variations in leukocyte proportions. The Ref-miREO method identifies differential miRNAs unaffected by changes in leukocyte populations by comparing the within-sample relative expression orderings (REOs) of miRNAs from healthy leukocyte subtypes and those from lung cancer blood samples. Over 77% of the differential miRNAs observed between lung cancer and healthy blood samples overlapped with those between myeloid-derived and lymphoid-derived leukocytes, suggesting the potential impact of changes in leukocyte populations on miRNA profile. Ref-miREO identified 16 differential miRNAs that target 19 lung adenocarcinoma-related genes previously linked to leukocytes. These miRNAs showed enrichment in cancer-related pathways and demonstrated high potential as diagnostic biomarkers, with the LASSO regression models effectively distinguishing between healthy and lung cancer blood or serum samples (all AUC > 0.85). Additionally, 12 of these miRNAs exhibited significant prognostic correlations. The Ref-miREO method offers valuable candidates for circulating biomarker detection in cancer that are not affected by changes in leukocyte populations.

Indexed as

Biomarkers, TumorLeukocytesLung NeoplasmsMicroRNAsAdenocarcinoma of LungFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMaleBiomarkers, TumorMicroRNAscirculating biomarkerleukocyte proportionLung cancerrelative expression ordering

Identifiers

PMID39164937
PMCPMC11340745

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.