# ChemoNETosis in Cancer: A Comprehensive Review of Treatment-Induced NET Formation and Therapeutic Consequences

**Authors:** Bojan Stojanovic, Bojana S. Stojanovic, Milica Dimitrijevic Stojanovic, Aleksandar Cvetkovic, Bojan Milosevic, Vesna Vulovic, Ivana Milivojcevic Bevc, Andra Jevtovic, Danijela Tasic-Uros, Sanja Knezevic, Aleksandar Matic, Marina Markovic, Katarina Milojevic, Verica Vukicevic, Danijela Bazic Sretenovic, Sladjan Petrovic, Tatjana Boskovic Matic, Milos Zivic, Tatjana Lazarevic

PMC · DOI: 10.3390/cells15060536 · 2026-03-17

## TL;DR

ChemoNETosis is a chemotherapy-induced immune response that promotes tumor resistance and could be targeted to improve cancer treatment outcomes.

## Contribution

This is the first comprehensive review of chemoNETosis, detailing its mechanisms and therapeutic implications across solid tumors.

## Key findings

- ChemoNETosis involves chemotherapy-induced neutrophil extracellular trap (NET) formation in tumors and metastases.
- NETs contribute to chemoresistance by activating TGFβ and promoting tumor cell plasticity.
- NET biomarkers like CitH3 and cfDNA may help identify patients who could benefit from NET-targeted therapies.

## Abstract

What are the main findings?
ChemoNETosis represents a treatment-induced neutrophil extracellular trap (NET) program in which cytotoxic chemotherapy alters the cytokine and chemokine landscape of the tumor microenvironment, including signals such as interleukin 1 beta (IL 1β) and the C X C motif chemokine ligand 1 and 5–C X C chemokine receptor 2 (CXCL1 and CXCL5–CXCR2) axis. These changes facilitate neutrophil recruitment and activation, culminating in NET deposition within primary tumors and metastatic niches.NET-enriched microenvironments can contribute mechanistically to chemoresistance by promoting epithelial to mesenchymal transition and tumor cell plasticity, for example through NET scaffold-associated activation of latent transforming growth factor beta (TGF β) signaling. In selected clinical contexts, this process may also connect therapy-induced inflammatory stress with vascular dysfunction and systemic toxicities.

ChemoNETosis represents a treatment-induced neutrophil extracellular trap (NET) program in which cytotoxic chemotherapy alters the cytokine and chemokine landscape of the tumor microenvironment, including signals such as interleukin 1 beta (IL 1β) and the C X C motif chemokine ligand 1 and 5–C X C chemokine receptor 2 (CXCL1 and CXCL5–CXCR2) axis. These changes facilitate neutrophil recruitment and activation, culminating in NET deposition within primary tumors and metastatic niches.

NET-enriched microenvironments can contribute mechanistically to chemoresistance by promoting epithelial to mesenchymal transition and tumor cell plasticity, for example through NET scaffold-associated activation of latent transforming growth factor beta (TGF β) signaling. In selected clinical contexts, this process may also connect therapy-induced inflammatory stress with vascular dysfunction and systemic toxicities.

What are the implications of the main findings?
ChemoNETosis identifies therapeutically actionable checkpoints that may be incorporated into rational combination strategies. These include enzymatic NET disruption using deoxyribonuclease (DNase), inhibition of peptidylarginine deiminase 4 (PAD4) to prevent chromatin decondensation, and targeting upstream inflammatory circuits such as IL 1β or CXCR2 signaling, with the aim of restoring chemotherapy and potentially immunotherapy sensitivity without broadly compromising host defense.Circulating and tissue-based NET biomarkers, including citrullinated histone H3 (CitH3), neutrophil elastase–DNA (NE–DNA) complexes, and cell-free DNA (cfDNA), may assist in patient stratification and treatment monitoring, and could help identify resistance phenotypes in which NET-directed adjunctive strategies are most likely to provide clinical benefit.

ChemoNETosis identifies therapeutically actionable checkpoints that may be incorporated into rational combination strategies. These include enzymatic NET disruption using deoxyribonuclease (DNase), inhibition of peptidylarginine deiminase 4 (PAD4) to prevent chromatin decondensation, and targeting upstream inflammatory circuits such as IL 1β or CXCR2 signaling, with the aim of restoring chemotherapy and potentially immunotherapy sensitivity without broadly compromising host defense.

Circulating and tissue-based NET biomarkers, including citrullinated histone H3 (CitH3), neutrophil elastase–DNA (NE–DNA) complexes, and cell-free DNA (cfDNA), may assist in patient stratification and treatment monitoring, and could help identify resistance phenotypes in which NET-directed adjunctive strategies are most likely to provide clinical benefit.

ChemoNETosis represents a distinct form of therapy-induced innate immune activation, in which cytotoxic chemotherapy alters the tumor microenvironment (TME) in ways that attract and stimulate neutrophils, ultimately triggering the release of neutrophil extracellular traps (NETs). Unlike classical NETosis, which typically arises in response to infection or sterile inflammation, chemoNETosis is initiated by treatment-related danger signals and chemokine–cytokine loops that reshape the immune landscape and promote the formation of NET-rich metastatic niches. These NET structures serve not only as physical scaffolds but also as bioactive platforms enriched with proteases, reactive oxygen species, and enzymes capable of activating growth factors, collectively driving epithelial–mesenchymal transition, enhanced tumor cell plasticity, immune cell exclusion, changes in vascular permeability, and the development of chemotherapy resistance. While predominantly associated with tumor-promoting effects, chemoNETosis may, under specific genetic or metabolic conditions, contribute to antitumor responses, reflecting its context-dependent plasticity. In this review, we present what is, to our knowledge, the first in-depth synthesis of chemoNETosis across solid tumors, with a focus on key mechanistic nodes and translational perspectives.

## Linked entities

- **Diseases:** cancer (MONDO:0004992)

## Full-text entities

- **Genes:** Cxcl1 (C-X-C motif chemokine ligand 1) [NCBI Gene 14825] {aka Fsp, Gro1, KC, Mgsa, N51, Scyb1}, IL17A (interleukin 17A) [NCBI Gene 3605] {aka CTLA-8, CTLA8, IL-17, IL-17A, IL17, ILA17}, PTGS2 (prostaglandin-endoperoxide synthase 2) [NCBI Gene 5743] {aka COX-2, COX2, GRIPGHS, PGG/HS, PGHS-2, PHS-2}, NFE2L2 (NFE2 like bZIP transcription factor 2) [NCBI Gene 4780] {aka IMDDHH, NRF2, Nrf-2}, CXCL8 (C-X-C motif chemokine ligand 8) [NCBI Gene 3576] {aka GCP-1, GCP1, IL8, LECT, LUCT, LYNAP}, Bak1 (BCL2-antagonist/killer 1) [NCBI Gene 12018] {aka Bak, N-BAK1, N-Bak}, Cxcl15 (C-X-C motif chemokine ligand 15) [NCBI Gene 20309] {aka Il8, Scyb15, lungkine, weche}, EREG (epiregulin) [NCBI Gene 2069] {aka EPR, ER, Ep}, PDCD1 (programmed cell death 1) [NCBI Gene 5133] {aka ADMIO4, AIMTBS, CD279, PD-1, PD1, SLEB2}, ESR1 (estrogen receptor 1) [NCBI Gene 2099] {aka ER, ESR, ESRA, ESTRR, Era, NR3A1}, MMP9 (matrix metallopeptidase 9) [NCBI Gene 4318] {aka CLG4B, GELB, MANDP2, MMP-9}, Gls (glutaminase) [NCBI Gene 14660] {aka 6330442B14, B230365M23Rik}, DNASE1 (deoxyribonuclease 1) [NCBI Gene 1773] {aka DNL1, DRNI}, ALB (albumin) [NCBI Gene 213] {aka FDAHT, HSA, PRO0883, PRO0903, PRO1341}, NLRP3 (NLR family pyrin domain containing 3) [NCBI Gene 114548] {aka AGTAVPRL, AII, AVP, C1orf7, CIAS1, CLR1.1}, Bax (BCL2-associated X protein) [NCBI Gene 12028], TNF (tumor necrosis factor) [NCBI Gene 7124] {aka DIF, IMD127, TNF-alpha, TNFA, TNFSF2, TNLG1F}, ARG1 (arginase 1) [NCBI Gene 383], SMAD2 (SMAD family member 2) [NCBI Gene 4087] {aka CHTD8, JV18, JV18-1, LDS6, MADH2, MADR2}, CXCR1 (C-X-C motif chemokine receptor 1) [NCBI Gene 3577] {aka C-C, C-C-CKR-1, CD128, CD181, CDw128a, CKR-1}, FCGR3B (Fc gamma receptor IIIb) [NCBI Gene 2215] {aka CD16, CD16-I, CD16b, FCG3, FCGR3, FCRIIIb}, PIK3CB (phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit beta) [NCBI Gene 5291] {aka P110BETA, PI3K, PI3KBETA, PIK3C1}, IL1B (interleukin 1 beta) [NCBI Gene 3553] {aka IL-1, IL1-BETA, IL1F2, IL1beta}, CCDC25 (coiled-coil domain containing 25) [NCBI Gene 55246], ILK (integrin linked kinase) [NCBI Gene 3611] {aka HEL-S-28, ILK-1, ILK-2, P59, p59ILK}, SRC (SRC proto-oncogene, non-receptor tyrosine kinase) [NCBI Gene 6714] {aka ASV, SRC1, THC6, c-SRC, p60-Src}, OLR1 (oxidized low density lipoprotein receptor 1) [NCBI Gene 4973] {aka CLEC8A, LOX1, LOXIN, SCARE1, SLOX1}, CD83 (CD83 molecule) [NCBI Gene 9308] {aka BL11, HB15}, Cxcr2 (C-X-C motif chemokine receptor 2) [NCBI Gene 12765] {aka CD128, CDw128, Cmkar2, Gpcr16, IL-8Rh, IL-8rb}, Ager (advanced glycosylation end product-specific receptor) [NCBI Gene 11596] {aka RAGE}, MPO (myeloperoxidase) [NCBI Gene 4353], CCL2 (C-C motif chemokine ligand 2) [NCBI Gene 6347] {aka GDCF-2, HC11, HSMCR30, MCAF, MCP-1, MCP1}, JAK2 (Janus kinase 2) [NCBI Gene 3717] {aka JTK10}, CSF3R (colony stimulating factor 3 receptor) [NCBI Gene 1441] {aka CD114, GCSFR, SCN7}, ELANE (elastase, neutrophil expressed) [NCBI Gene 1991] {aka ELA2, GE, HLE, HNE, NE, PMN-E}, VEGFA (vascular endothelial growth factor A) [NCBI Gene 7422] {aka L-VEGF, MVCD1, VEGF, VPF}, CEACAM1 (CEA cell adhesion molecule 1) [NCBI Gene 634] {aka BGP, BGP1, BGPI}, GPRC5A (G protein-coupled receptor class C group 5 member A) [NCBI Gene 9052] {aka GPCR5A, PEIG-1, RAI3, RAIG1, TIG1}, BCL2L1 (BCL2 like 1) [NCBI Gene 598] {aka BCL-XL/S, BCL2L, BCLX, Bcl-X, PPP1R52}, CTLA4 (cytotoxic T-lymphocyte associated protein 4) [NCBI Gene 1493] {aka ALPS5, CD, CD152, CELIAC3, CTLA-4, GRD4}, PRTN3 (proteinase 3) [NCBI Gene 5657] {aka ACPA, AGP7, C-ANCA, CANCA, MBN, MBT}, YWHAQ (tyrosine 3-monooxygenase/tryptophan 5-monooxygenase activation protein theta) [NCBI Gene 10971] {aka 14-3-3, 1C5, HS1}, CLDN1 (claudin 1) [NCBI Gene 9076] {aka CLD1, ILVASC, SEMP1}, SLC11A1 (solute carrier family 11 member 1) [NCBI Gene 6556] {aka LSH, NRAMP, NRAMP1}, CDC42 (cell division cycle 42) [NCBI Gene 998] {aka CDC42Hs, G25K, TKS}, CXCL1 (C-X-C motif chemokine ligand 1) [NCBI Gene 2919] {aka FSP, GRO1, GROa, MGSA, MGSA-a, NAP-3}, CXCR4 (C-X-C motif chemokine receptor 4) [NCBI Gene 7852] {aka CD184, D2S201E, FB22, HM89, HSY3RR, LCR1}, P2RX7 (purinergic receptor P2X 7) [NCBI Gene 5027] {aka P2X7}, NFKB1 (nuclear factor kappa B subunit 1) [NCBI Gene 4790] {aka CVID12, EBP-1, KBF1, NF-kB, NF-kB1, NF-kappa-B1}, Pik3ca (phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit alpha) [NCBI Gene 18706] {aka 6330412C24Rik, caPI3K, p110, p110alpha}, CD8A (CD8 subunit alpha) [NCBI Gene 925] {aka CD8, CD8alpha, IMD116, Leu2, p32}, KRAS (KRAS proto-oncogene, GTPase) [NCBI Gene 3845] {aka 'C-K-RAS, C-K-RAS, CFC2, K-RAS2A, K-RAS2B, K-RAS4A}, AKT1 (AKT serine/threonine kinase 1) [NCBI Gene 207] {aka AKT, PKB, PKB-ALPHA, PRKBA, RAC, RAC-ALPHA}, PADI4 (peptidyl arginine deiminase 4) [NCBI Gene 23569] {aka PAD, PAD4, PADI5, PDI4, PDI5}, DECR1 (2,4-dienoyl-CoA reductase 1) [NCBI Gene 1666] {aka DECR, NADPH, SDR18C1}, PROK2 (prokineticin 2) [NCBI Gene 60675] {aka BV8, HH4, KAL4, MIT1, PK2}, BCL2 (BCL2 apoptosis regulator) [NCBI Gene 596] {aka Bcl-2, PPP1R50}, RAC1 (Rac family small GTPase 1) [NCBI Gene 5879] {aka MIG5, MRD48, Rac-1, TC-25, p21-Rac1}, Padis4 (MMTV LTR integration site 4) [NCBI Gene 110072] {aka Pad4}, SDC4 (syndecan 4) [NCBI Gene 6385] {aka SYND4}
- **Diseases:** autoimmune diseases (MESH:D001327), SLE (MESH:D008180), viral infections (MESH:D014777), thromboinflammatory disorders (MESH:D009358), lung adenocarcinoma (MESH:D000077192), vascular dysfunction (MESH:D002561), Cancer (MESH:D009369), hypoxia (MESH:D000860), colitis (MESH:D003092), necrosis (MESH:D009336), renal cell carcinoma (MESH:D002292), rectal cancer (MESH:D012004), metastatic disease (MESH:D000092182), NE (MESH:C564275), hypoxic (MESH:D002534), Breast Cancer (MESH:D001943), solid (MESH:D018250), hematologic malignancies (MESH:D019337), colitis-associated cancer (MESH:D000083023), Inflammation (MESH:D007249), thrombosis (MESH:D013927), adenomatous polyps (MESH:D018256), osteosarcoma (MESH:D012516), COVID-19 (MESH:D000086382), cytotoxic injury (MESH:D014947), NET (MESH:C536657), infection (MESH:D007239), PDAC (MESH:D021441), tubular injury (MESH:D000230), nonmelanoma skin cancers (MESH:D012878), death (MESH:D003643), renal dysfunction (MESH:D007674), vascular injury (MESH:D057772), TNBC (MESH:D064726), effusions (MESH:D000080324), metastases (MESH:D009362), neutropenia (MESH:D009503), cardiovascular disorders (MESH:D002318), cytotoxic (MESH:D064420), pancreatic cancer (MESH:D010190), RA (MESH:D001172), invasive carcinoma (MESH:D009361), TANs (MESH:D000072716), COPD (MESH:D029424), atherosclerosis (MESH:D050197), lung lesions (MESH:D008171), CRC (MESH:D015179)
- **Chemicals:** ROS (MESH:D017382), navarixin (MESH:C516686), ATP (MESH:D000255), carboplatin (MESH:D016190), Polyphosphates (MESH:D011122), cyclophosphamide (MESH:D003520), gemcitabine (MESH:D000093542), GSK484 (-), nitric oxide (MESH:D009569), phorbol esters (MESH:D010703), anthracycline (MESH:D018943), CB-839 (MESH:C000593334), prostaglandin (MESH:D011453), calcium (MESH:D002118), paclitaxel (MESH:D017239), oxygen (MESH:D010100), docetaxel (MESH:D000077143), adenosine (MESH:D000241), iron (MESH:D007501), platinum (MESH:D010984), cisplatin (MESH:D002945), reparixin (MESH:C490707), 5-FU (MESH:D005472)
- **Species:** Mus musculus (house mouse, species) [taxon 10090], Homo sapiens (human, species) [taxon 9606]

## Figures

3 figures with captions in the complete paper: https://tomesphere.com/paper/PMC13025203/full.md

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Source: https://tomesphere.com/paper/PMC13025203