Evidence map›Paper›PMID 42787218›Full record

ArticleFrontiers in immunology2026

Neutrophil extracellular traps induce chemoresistance in human breast cancer cells through the PI3K/AKT/NF-κB pathway.

Juliana L Souza, Vitor H Almeida, Karina Martins-Cardoso, Luciana D T Carneiro, Vitória R D Azevedo, Gabriela Nestal de Moraes, Robson Q Monteiro

Abstract read
In one paragraph

Article in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Juliana L SouzaLaboratório de Trombose, Inflamação e Câncer, Instituto de Bioquímica Médica Leopoldo de Meis, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil.
Vitor H AlmeidaLaboratório de Trombose, Inflamação e Câncer, Instituto de Bioquímica Médica Leopoldo de Meis, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil.
Karina Martins-CardosoLaboratório de Trombose, Inflamação e Câncer, Instituto de Bioquímica Médica Leopoldo de Meis, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil.
Luciana D T CarneiroLaboratório de Sinalização e Biologia Tumoral, Instituto de Bioquímica Médica Leopoldo de Meis, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil.
Vitória R D AzevedoLaboratório de Trombose, Inflamação e Câncer, Instituto de Bioquímica Médica Leopoldo de Meis, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil.
Gabriela Nestal de MoraesLaboratório de Sinalização e Biologia Tumoral, Instituto de Bioquímica Médica Leopoldo de Meis, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil.
Robson Q MonteiroLaboratório de Trombose, Inflamação e Câncer, Instituto de Bioquímica Médica Leopoldo de Meis, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Breast cancer is the most common malignancy and the leading cause of cancer-related mortality among women, and resistance to chemotherapy remains a major clinical challenge. Although doxorubicin is widely used, its efficacy is limited by chemoresistance. Neutrophil extracellular traps (NETs), web-like structures composed of DNA and proteins released by activated neutrophils, have been implicated in tumor progression and metastasis; however, their role in chemoresistance remains poorly understood. Here, we investigated the impact of NETs on doxorubicin resistance in human breast cancer cell lines. Methods: NETs were isolated from healthy donor blood and used to treat tumor cell lines (MCF7, T47D, and MDA-MB-231) prior to chemotherapy exposure. Cell viability and clonogenic potential were assessed by MTT and colony formation assays, while apoptotic signaling and AKT activation were evaluated by qPCR and Western blot. Pathway involvement was investigated using pharmacological inhibitors of PI3K, AKT, and NF-κB and siRNA-mediated AKT1 knockdown. Results: NETs were not cytotoxic but significantly increased clonogenic capacity and conferred resistance to doxorubicin. This effect was independent of the DNA scaffold and abolished by heat denaturation, implicating heat-labile, NET-associated components (most likely proteins) rather than the DNA backbone. NET exposure downregulated the pro-apoptotic factor BAX and upregulated the anti-apoptotic factor BCL2, indicating modulation of apoptosis-related factors toward a pro-survival profile. NETs induced AKT phosphorylation in the luminal cell lines and engaged the PI3K/AKT/NF-κB signaling axis, consistent with the modulation of downstream apoptotic factors. Inhibition of this pathway or AKT1 knockdown reversed the NET-induced chemoresistant phenotype, restoring chemosensitivity and apoptotic gene expression. Discussion: Collectively, these findings identify heat-labile, NET-associated components as mediators of breast cancer chemoresistance and support targeting NETs or their downstream signaling pathways to improve chemotherapy response.

Indexed as

Breast NeoplasmsDrug Resistance, NeoplasmExtracellular TrapsNeutrophilsNF-kappa BPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktApoptosisCell Line, TumorCell SurvivalDoxorubicinFemaleHumansMDA-MB-231 CellsSignal TransductionDoxorubicinNF-kappa BPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktbreast cancerchemoresistancedoxorubicinneutrophil extracellular traps (NETs)PI3K/AKT/NF-κB signalingtumor microenvironment

Identifiers

PMID42787218
PMCPMC13600900

What Socratic holds

Textmetadata
Read underepoch 390

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 Socratic graph.