Evidence map›Paper›PMID 40204835›Full record

ArticleScientific reports2025

Distinct proteomic profiles of plasma-derived extracellular vesicles in healthy, benign, and triple-negative breast cancer: candidate biomarkers for liquid biopsy.

G H Tamarindo, A A Novais, B M Frigieri, D L Alves, C A de Souza, A Amadeu, J C da Silveira, F F Souza, N A Bordin, L G A Chuffa and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Proteome of CD9Life (Basel, Switzerland) · 2026
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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.

G H TamarindoMolecular Investigation of Cancer Laboratory (MICL), Department of Molecular Biology, Faculdade de Medicina de São José do Rio Preto/(FAMERP), São José do Rio Preto, SP, 15090-000, Brazil.
A A NovaisInstitute of Health Science (ICS), Universidade Federal de Mato Grosso (UFMT), Sinop, MT, 78550-728, Brazil.
B M FrigieriMolecular Investigation of Cancer Laboratory (MICL), Department of Molecular Biology, Faculdade de Medicina de São José do Rio Preto/(FAMERP), São José do Rio Preto, SP, 15090-000, Brazil.
D L AlvesMolecular Investigation of Cancer Laboratory (MICL), Department of Molecular Biology, Faculdade de Medicina de São José do Rio Preto/(FAMERP), São José do Rio Preto, SP, 15090-000, Brazil.
C A de SouzaLaboratory of Molecular Morphophysiology and Development (LMMD/ZMV), University of São Paulo, Pirassununga, SP, Brazil.
A AmadeuMolecular Investigation of Cancer Laboratory (MICL), Department of Molecular Biology, Faculdade de Medicina de São José do Rio Preto/(FAMERP), São José do Rio Preto, SP, 15090-000, Brazil.
J C da SilveiraLaboratory of Molecular Morphophysiology and Development (LMMD/ZMV), University of São Paulo, Pirassununga, SP, Brazil.
F F SouzaDepartment of Veterinary Surgery and Animal Reproduction, School of Veterinary Medicine and Animal Science, FMVZ, São Paulo State University (UNESP), Botucatu, SP, 18618-681, Brazil.
N A BordinHospital de Base, FAMERP, Faculdade de Medicina de São José do Rio Preto/(FAMERP), São José do Rio Preto, SP, 15090-000, Brazil.
L G A ChuffaDepartment of Structural and Functional Biology, Institute of Biosciences, UNESP - São Paulo State University, Botucatu, São Paulo, 18618-689, Brazil.
D A P C ZuccariMolecular Investigation of Cancer Laboratory (MICL), Department of Molecular Biology, Faculdade de Medicina de São José do Rio Preto/(FAMERP), São José do Rio Preto, SP, 15090-000, Brazil. debora.zuccari@famerp.br.

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 307288/2022-6Coordenação de Aperfeiçoamento de Pessoal de Nível Superior Finance code 001Fundação de Amparo à Pesquisa do Estado de São Paulo Processo no. 2020/12790-8
6 · The paper itself

Abstract

Extracellular vesicles (EVs) derived from plasma, measuring up to 150 nm, act as molecular messengers transmitting critical information to recipient cells, making them valuable candidates for liquid biopsy applications in cancer diagnostics. Triple-negative breast cancer (TNBC) is particularly challenging due to its aggressive nature, metastasis potential, and limited treatment options. This study aimed to identify EV-associated proteins in blood samples that could serve as potential TNBC biomarkers. Using mass spectrometry-based proteomic analysis, we detected unique and differentially expressed proteins across healthy individuals, patients with benign breast conditions, and those with TNBC. While EVs size and concentration showed no differences, the proteomic profile varied significantly among these groups. Several immune-related proteins were found exclusively in healthy individuals but were diminished in both benign and malignant cases. We also assessed the impact of surgery on EVs protein content and identified Histone H2A as a TNBC-specific marker present before surgery. Its expression was further validated through immunohistochemistry and Western blotting in TNBC biopsies and cell lines. Notably, surgical intervention enhanced immune response pathways in TNBC patients. In conclusion, liquid biopsy has the potential to serve as a non-invasive tool for TNBC diagnosis and monitoring, revealing a post-surgery molecular landscape that supports combining immunotherapy with mastectomy.

Indexed as

Biomarkers, TumorExtracellular VesiclesProteomeProteomicsTriple Negative Breast NeoplasmsAdultAgedCell Line, TumorFemaleHumansLiquid BiopsyMiddle AgedBiomarkers, TumorProteomeBreast cancerExtracellular vesiclesHistone H2AImmunotherapyLiquid biopsyProteomicsSurgical interventionTNBC

Identifiers

PMID40204835
PMCPMC11982211

What OpenQuestion holds

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Registered trials

None linked

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.