Neutrophil Biomarker Test for Predicting Clinical Benefit From Immunotherapy Based on Flow Cytometry Analysis
NEUTROFLOW
NEUTROFLOW: Development and Validation of a Pan-cancer Neutrophil Biomarker Test for Predicting Clinical Benefit From Immunotherapy Based on Flow Cytometry Analysis of Blood Samples
1 other identifier
observational
600
3 countries
3
Brief Summary
The NeutroFlow study is a multi-center clinical trial designed to develop a computational model that converts flow cytometry results into a prediction of clinical benefit. The study analyzes Ly6Ehi neutrophils in biological samples from patients treated with immune checkpoint inhibitors to evaluate their likelihood of benefiting from treatment. Blood samples are collected prior to treatment and used to support the ongoing development of the algorithm.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Nov 2025
Typical duration for all trials
3 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
November 15, 2025
CompletedFirst Submitted
Initial submission to the registry
November 16, 2025
CompletedFirst Posted
Study publicly available on registry
November 24, 2025
CompletedPrimary Completion
Last participant's last visit for primary outcome
September 30, 2027
ExpectedStudy Completion
Last participant's last visit for all outcomes
May 30, 2028
November 24, 2025
November 1, 2025
1.9 years
November 16, 2025
November 20, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (2)
Quantification of Ly6E high (Ly6Ehi) neutrophils in blood using the NeutroFlow flow cytometry assay
Peripheral blood samples will be collected from patients up to 1 month prior to treatment initiation. Ly6Ehi neutrophil populations will be quantified using the NeutroFlow multiparametric flow cytometry assay
Baseline (up to 1 month before treatment initiation)
Prediction of clinical benefit rate using baseline Ly6Ehi neutrophils levels
The patients clinical benefit (CB) will be defined according to RECIST 1.1 criteria to one of the following categories: complete response (CR), partial response (PR), or stable disease (SD). Baseline Ly6Ehi neutrophil levels will be used as input in a computational predictive model to estimate the likelihood of CB for each patient. The model will be trained and validated with independent patient cohorts, using cross-validation and ROC AUC metrics to assess predictive performance. Sensitivity, specificity, positive predictive value, and negative predictive value will also be calculated. Predictions will be assessed at multiple timepoints: 6, 12, 18, and 24 months post-initiation of anti-PD-(L)1 therapy. Subgroup analyses will include age, sex, cancer type, disease stage, and treatment line.
Baseline (blood draw) to 6, 12, 18, and 24 months post treatment initiation
Secondary Outcomes (4)
Clinical benefit rate across individual cancer types
Baseline to 6, 12, 18, and 24 months post treatment initiation (per indication)
Clinical benefit rate by PD-(L)1 treatment regimen
Baseline to 6, 12, 18, and 24 months post treatment initiation
Correlation between Ly6Ehi neutrophil levels and PD-L1 status (TPS/CPS)
Baseline (PD-L1 and neutrophils assessed prior to treatment)
Correlation between Ly6Ehi neutrophil levels and other clinical response-associated parameters
Baseline (clinical parameters collected prior to treatment)
Study Arms (5)
Patients with stage IV or stage III unresectable non-small cell lung cancer (NSCLC)
Patients with stage IV or stage III unresectable non-small cell lung cancer (NSCLC) treated with immune checkpoint inhibitors as a first-line treatment
Patients with stage IV or stage IIIb-d malignant melanoma
Patients with stage IV or stage IIIb-d malignant melanoma treated with immune checkpoint inhibitors as a first-line treatment
Patients with stage IV head and neck squamous cell carcinoma (HNSCC)
Patients with stage IV head and neck squamous cell carcinoma (HNSCC) treated with immune checkpoint inhibitors as a first-line treatment
Patients with stage IV renal cell carcinoma (RCC)
Patients with stage IV renal cell carcinoma (RCC) treated with immune checkpoint inhibitors as a first-line treatment
Patients with stage IV triple-negative breast cancer (TNBC)
Patients with stage IV triple-negative breast cancer (TNBC) treated with immune checkpoint inhibitors as a first-line treatment
Interventions
Blood sample collection prior treatment initiation
Eligibility Criteria
At least 600 treatment-naïve patients due to be treated with a first line regimen that includes PD- 1/PD-L1 inhibitors with the following diagnoses are planned to be enrolled in the study over a period of 3 years or as needed: 1. Stage IV or Stage III-unresectable NSCLC 2. Stage IV or Stage IIIb-d malignant melanoma 3. Stage IV HNSCC 4. Stage IV RCC 5. Stage IV TNBC
You may qualify if:
- Patients newly diagnosed with advanced-stage/metastatic NSCLC, melanoma, HNSCC, RCC, or TNBC, who are due to receive first-line treatment with a PD-(L)1 inhibitor, either as monotherapy or in combination with other agents, according to current standard-of-care regimens, including (but not limited to) the following approved options: NSCLC. Monotherapy: Pembrolizumab, Atezolizumab, Cemiplimab. Combination: Pembrolizumab + chemotherapy; Nivolumab + Ipilimumab; Cemiplimab + chemotherapy; Atezolizumab + chemotherapy + Bevacizumab.
- Melanoma. Monotherapy: Nivolumab, Pembrolizumab. Combination: Nivolumab + Ipilimumab; Nivolumab + Relatlimab.
- HNSCC. Monotherapy: Pembrolizumab, Cemiplimab. Combination: Pembrolizumab + chemotherapy.
- RCC. Combination only: Nivolumab + Ipilimumab; Nivolumab + Cabozantinib; Pembrolizumab + Lenvatinib or Axitinib; Avelumab + Axitinib.
- TNBC. Combination only: Pembrolizumab + chemotherapy.
- Male or female aged at least 18 years
- ECOG PS: 0/1-2
- Normal hematologic, renal and liver function:
- Absolute neutrophil count \> 1500/mm³ Platelets \> 100,000/mm³ Hemoglobin \> 9 g/dL Creatinine concentration ≤ 1.4 mg/dL, or creatinine clearance \> 40 mL/min, Total bilirubin \< 1.5 mg/dL ALT + AST levels ≤ 3 times above the upper normal limit
You may not qualify if:
- Any concurrent and/or other active malignancy that has required systemic treatment within 2 years of the first dose of treatment.
- For NSCLC: presence of activating EGFR, ALK, ROS1, RET, NTRK alterations linked to an approved first-line targeted drug.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- OncoHost Ltd.lead
- European Institute of Oncologycollaborator
- University Hospital Heidelbergcollaborator
- Hospital Universitario Virgen Macarenacollaborator
Study Sites (3)
Heidelberg University Hospital
Heidelberg, 69120, Germany
Intituto Europeo di Oncologia SRL
Milan, 20121, Italy
Virgen Macarena University Hospital - Servicio Andaluz de Salud
Seville, 41071, Spain
Related Publications (8)
Alturki NA. Review of the Immune Checkpoint Inhibitors in the Context of Cancer Treatment. J Clin Med. 2023 Jun 27;12(13):4301. doi: 10.3390/jcm12134301.
PMID: 37445336BACKGROUNDMan J, Millican J, Mulvey A, Gebski V, Hui R. Response Rate and Survival at Key Timepoints With PD-1 Blockade vs Chemotherapy in PD-L1 Subgroups: Meta-Analysis of Metastatic NSCLC Trials. JNCI Cancer Spectr. 2021 Jan 27;5(3):pkab012. doi: 10.1093/jncics/pkab012. eCollection 2021 Jun.
PMID: 34084999BACKGROUNDMartins F, Sofiya L, Sykiotis GP, Lamine F, Maillard M, Fraga M, Shabafrouz K, Ribi C, Cairoli A, Guex-Crosier Y, Kuntzer T, Michielin O, Peters S, Coukos G, Spertini F, Thompson JA, Obeid M. Adverse effects of immune-checkpoint inhibitors: epidemiology, management and surveillance. Nat Rev Clin Oncol. 2019 Sep;16(9):563-580. doi: 10.1038/s41571-019-0218-0.
PMID: 31092901BACKGROUNDHurwitz JT, Vaffis S, Grizzle AJ, Nielsen S, Dodson A, Parry S. Cost-Effectiveness of PD-L1 Testing in Non-Small Cell Lung Cancer (NSCLC) Using In Vitro Diagnostic (IVD) Versus Laboratory-Developed Test (LDT). Oncol Ther. 2022 Dec;10(2):391-409. doi: 10.1007/s40487-022-00197-1. Epub 2022 May 13.
PMID: 35556235BACKGROUNDLei Y, Li X, Huang Q, Zheng X, Liu M. Progress and Challenges of Predictive Biomarkers for Immune Checkpoint Blockade. Front Oncol. 2021 Mar 11;11:617335. doi: 10.3389/fonc.2021.617335. eCollection 2021.
PMID: 33777757BACKGROUNDArora S, Velichinskii R, Lesh RW, Ali U, Kubiak M, Bansal P, Borghaei H, Edelman MJ, Boumber Y. Existing and Emerging Biomarkers for Immune Checkpoint Immunotherapy in Solid Tumors. Adv Ther. 2019 Oct;36(10):2638-2678. doi: 10.1007/s12325-019-01051-z. Epub 2019 Aug 13.
PMID: 31410780BACKGROUNDMcKean WB, Moser JC, Rimm D, Hu-Lieskovan S. Biomarkers in Precision Cancer Immunotherapy: Promise and Challenges. Am Soc Clin Oncol Educ Book. 2020 May;40:e275-e291. doi: 10.1200/EDBK_280571.
PMID: 32453632BACKGROUNDBenguigui M, Cooper TJ, Kalkar P, Schif-Zuck S, Halaban R, Bacchiocchi A, Kamer I, Deo A, Manobla B, Menachem R, Haj-Shomaly J, Vorontsova A, Raviv Z, Buxbaum C, Christopoulos P, Bar J, Lotem M, Sznol M, Ariel A, Shen-Orr SS, Shaked Y. Interferon-stimulated neutrophils as a predictor of immunotherapy response. Cancer Cell. 2024 Feb 12;42(2):253-265.e12. doi: 10.1016/j.ccell.2023.12.005. Epub 2024 Jan 4.
PMID: 38181798BACKGROUND
Biospecimen
Blood withdrawal at baseline before treatment initiation
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- INDUSTRY
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
November 16, 2025
First Posted
November 24, 2025
Study Start
November 15, 2025
Primary Completion (Estimated)
September 30, 2027
Study Completion (Estimated)
May 30, 2028
Last Updated
November 24, 2025
Record last verified: 2025-11