Evidence map›Paper›PMID 41581122›Full record

ArticleJournal of extracellular vesicles2026

Profiling of Extracellular Vesicles of Non-Small Cell Lung Cancer Reveals Proteins Associated With Osimertinib Resistance.

Albano Cáceres-Verschae, Petra Hååg, Sofia Joelsson, Per Hydbring, Bo Franzén, Ákos Végvári, Inger Johanne Z Eide, Nupur Agarwal, Siddharth Sourabh Sahu, Fredrik Stridfeldt and 6 more

Abstract read
In one paragraph

Article in Journal of extracellular vesicles, 2026. 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. Article
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

16 authors.

Albano Cáceres-VerschaeDept of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.ORCID https://orcid.org/0000-0002-4057-6827
Petra HåågDept of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.ORCID https://orcid.org/0000-0002-7045-867X
Sofia JoelssonDept of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.ORCID https://orcid.org/0009-0000-8828-3620
Per HydbringDept of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.ORCID https://orcid.org/0000-0002-8049-5650
Bo FranzénDept of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.ORCID https://orcid.org/0000-0002-1234-4981
Ákos VégváriDept of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden.ORCID https://orcid.org/0000-0002-1287-0906
Inger Johanne Z EideSection of Oncology, Vestre Viken Hospital Trust, Drammen, Norway.ORCID https://orcid.org/0000-0003-1246-3048
Nupur AgarwalDept of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.ORCID https://orcid.org/0000-0002-1447-2397
Siddharth Sourabh SahuDept of Applied Physics, School of Engineering Sciences, KTH Royal Institute of Technology, Stockholm, Sweden.ORCID https://orcid.org/0000-0002-2794-9158
Fredrik StridfeldtDept of Applied Physics, School of Engineering Sciences, KTH Royal Institute of Technology, Stockholm, Sweden.ORCID https://orcid.org/0000-0002-8561-3986
Luigi De PetrisDept of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.ORCID https://orcid.org/0000-0001-8393-560X
Apurba DevDivision of Solid-State Electronics, Department of Electrical Engineering, Uppsala University, Uppsala, Sweden.ORCID https://orcid.org/0000-0002-6235-2891
Simon EkmanDept of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.ORCID https://orcid.org/0000-0002-8343-6226
Odd Terje BrustugunSection of Oncology, Vestre Viken Hospital Trust, Drammen, Norway.ORCID https://orcid.org/0000-0002-5153-8391
Rolf LewensohnDept of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.ORCID https://orcid.org/0000-0002-9941-9172
Kristina ViktorssonDept of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.ORCID https://orcid.org/0000-0003-4552-3561

Funding

Cancerfonden 24 3793PjCancerfonden CAN2021/1469Cancerföreningen i Stockholm 221212Cancerföreningen i Stockholm 241282Erling-Perssons StiftelseForskning Utbildning och Utveckilng, Karolinska HospitalSjöbergstiftelsenStiftelsen för Strategisk Forskning SIP21-0106Stockholm läns landsting 750032Stockholm läns landsting 909121Stockholm läns landsting FoUI-96634Vetenskapsrådet 2018-06228Wellcome Trust 221383
6 · The paper itself

Abstract

Precision cancer medicine with small tyrosine kinase inhibitors (TKIs) directed toward oncogenic drivers, are important treatment regimens for solid tumours. The epidermal growth factor receptor (EGFR)-TKI osimertinib is a preferred therapy for patients with non-small cell lung cancer (NSCLC) driven by activating mutations in EGFR, unfortunately responses are heterogeneous. This calls for non-invasive methods to predict or monitor treatment response, for example, via biomarker analyses in blood. To reveal such putative biomarkers, we analysed the proteome of extracellular vesicles (EVs) from osimertinib resistant or responsive NSCLC cells in vitro and from EVs isolated from serum samples of NSCLC patients treated with osimertinib in second line within the phase II clinical trial TREM. The protein cargo of the EVs was analysed by mass spectrometry (MS) and proximity extension assay (PEA). Western blotting, ELISA and single vesicle analysis was performed to validate and further confirm the expression of certain proteins. MS profiling of the NSCLC cells and their released EVs revealed a protein signature associated with osimertinib refractoriness. Among them were CSPG4, HSPG2, MCAM, L1CAM, TAGLN, THBS1 and TNC. GO-pathway analysis related several of these proteins to the focal adhesion and proteoglycan in cancer pathways. Some of these proteins, including CSPG4, which when suppressed by transient siRNA transfection in NSCLC cells resulted in reduced cell viability, were expressed also in EVs from serum of the NSCLC patients. Moreover, PEA profiling of the serum-isolated EVs revealed signatures associated with immune cells, best response and/or progression-free survival, including PD-L1, CD73/NT5E, FR-alpha/FOLR1, LAMP3, FASLG1 and ANXA1. In summary, we demonstrate that protein profiling of EVs in relation to osimertinib refractoriness has the potential to identify possible biomarkers that can indicate osimertinib treatment resistance, for example, CSPG4, HSPG2, TAGLN, TNC, THBS1, ANXA1 and CD73/NT5E. Studies in expanded cohorts should be conducted to further validate these putative osimertinib biomarkers.

Indexed as

AcrylamidesAniline CompoundsCarcinoma, Non-Small-Cell LungDrug Resistance, NeoplasmExtracellular VesiclesLung NeoplasmsBiomarkers, TumorCell Line, TumorFemaleHumansIndolesProtein Kinase InhibitorsPyrimidinesAcrylamidesAniline CompoundsBiomarkers, TumorIndolesosimertinibProtein Kinase InhibitorsPyrimidinesbiomarkersextracellular vesiclesmutant epidermal growth factor receptornon‐small cell lung cancerosimertinib

Identifiers

PMID41581122
PMCPMC12832073

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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.