Evidence map›Paper›PMID 41469584›Full record

ArticleBMC cancer2025

Different plasma exosome isolation methods generated distinct microRNA and protein profiles in healthy controls and patients with advanced prostate and lung cancer.

Kapil K Avasthi, Brandon J Manley, Bruna Pellini, Jingsong Zhang, Amanda M Bloomer, Esther Jean-Baptiste, Douglas C Marchion, Bin Fang, John M Koomen, Erin M Siegel and 1 more

Abstract read
In one paragraph

Article in BMC cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Kapil K AvasthiDepartment of Tumor and Microenvironment and Metastasis, H. Lee Moffitt Cancer Center, Tampa, USA.
Brandon J ManleyDepartment of Genitourinary Oncology, H. Lee Moffitt Cancer Center, Tampa, USA.
Bruna PelliniDepartment of Thoracic Oncology, H. Lee Moffitt Center, Tampa, USA.
Jingsong ZhangDepartment of Genitourinary Oncology, H. Lee Moffitt Cancer Center, Tampa, USA.
Amanda M BloomerDepartment of Cancer Epidemiology, H. Lee Moffitt Cancer Center, Tampa, USA.
Esther Jean-BaptisteNon-Therapeutic Research, H. Lee Moffitt Cancer Center, Tampa, USA.
Douglas C MarchionTissue Core, H. Lee Moffitt Cancer Center, Tampa, USA.
Bin FangProteomics and Metabolomics Core, H. Lee Moffitt Cancer Center, Tampa, USA.
John M KoomenProteomics and Metabolomics Core, H. Lee Moffitt Cancer Center, Tampa, USA.
Erin M SiegelDepartment of Cancer Epidemiology, H. Lee Moffitt Cancer Center, Tampa, USA.
Liang WangDepartment of Tumor and Microenvironment and Metastasis, H. Lee Moffitt Cancer Center, Tampa, USA. liang.wang@moffitt.org.

Funding

Cell free nucleic acid-based biomarkers in advanced prostate cancerR01CA212097 · NCI · MEDICAL COLLEGE OF WISCONSIN · PI KOHLI, MANISH, WANG, LIANG · 2017 to 2022
$3.1M
National Institute of Health, United States R01CA212097NCI NIH HHS R01 CA212097
6 · The paper itself

Abstract

backgroundExosomes, extracellular vesicles pivotal in cancer intercellular communication, encapsulate biomolecules with potential as diagnostic and prognostic biomarkers. Efficient isolation is essential for accurate molecular profiling. This study compares three exosome isolation methods-size exclusion chromatography (SEC), lectin-binding, and TIM4-binding-for proteomic and miRNA analysis of plasma exosomes in cancer.

methodsPlasma exosomes from patients with non-small cell lung cancer (NSCLC, N = 22), castration-resistant prostate cancer (CRPC, N = 7), and healthy controls (N = 15) were analyzed. Liquid chromatography-tandem mass spectrometry profiled exosomal proteins, and small RNA sequencing identified miRNAs.

resultsSEC, lectin-binding, and TIM4-binding methods identified 122, 153, and 87 proteins, and 335, 89, and 181 miRNAs, respectively. SEC detected the most unique miRNAs (183), while lectin-binding excelled in unique protein detection (56). In CRPC, 69 proteins and 21 miRNAs differed significantly (p < 0.05) from controls, with SEC identifying 11 proteins and 6 miRNAs, lectin-binding detecting 40 proteins and 1 miRNA, and TIM4-binding revealing 18 proteins and 14 miRNAs. In NSCLC, 33 proteins and 15 miRNAs showed differential expression (p < 0.05), with SEC detecting 14 proteins and 3 miRNAs, lectin-binding identifying 2 proteins, and TIM4-binding uncovering 17 proteins and 12 miRNAs.

conclusionsThe choice of exosome isolation method profoundly influences molecular profiling, with SEC optimizing miRNA detection, lectin-binding enhancing protein capture, and TIM4-binding enriching cancer-specific miRNAs. These findings underscore the need for tailored isolation strategies to unlock exosomes' potential as precise, multi-omic biomarkers for cancer diagnosis and monitoring.

Indexed as

Carcinoma, Non-Small-Cell LungExosomesLung NeoplasmsMicroRNAsProstatic NeoplasmsProstatic Neoplasms, Castration-ResistantAgedBiomarkers, TumorCase-Control StudiesChromatography, GelHumansMaleMiddle AgedProteomicsTandem Mass SpectrometryBiomarkers, TumorMicroRNAsBiomarkersCancerExosomesProteomicsTranscriptomics

Identifiers

PMID41469584
PMCPMC12859987

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LicenceCC BY-NC-ND
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Registered trials

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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.