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Febrile NeutropeniaNCT07277387

Plasma Host-Microbe Proteomics to Predict Complications in High-risk Febrile Neutropenia

An observational study of Febrile Neutropenia, run by Instituto de Investigación Biomédica de Salamanca at 3 sites in Spain.

Recruiting

Looking for participants now. Contact the study team or a site below to ask about taking part.

Sites and contacts
Official record

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Trial summary

Febrile neutropenia (FN) is a common oncologic emergency in patients with hematologic malignancies, associated with high morbidity and mortality. Early identification of patients at higher risk of complications such as sepsis or septic shock is critical to optimize antimicrobial management. Read more about this study

Who is it for?
Ages 18 years and older
Conditions the study is for
Febrile Neutropenia
What is being tested?
Plasma and DNA sample collection for proteomic and genomic analysis
How many people
350 participants
Where
3 sitesSpain
Study dates
9 Jun 2026to Jan 2029
How long will I take part?
30 Days
Phase
Observational

Key requirements

Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.

  • Ages 18 years and older
  • All sexes
  • No healthy volunteers
  • Adult, Older adult

Study population: Oncohematologic Patients With Febrile Neutropenia

Who may be able to join

  • Adults (≥18 years).
  • Written informed consent provided by patient or legal representative.
  • Diagnosis of hematologic malignancy under induction chemotherapy, post-allogeneic hematopoietic stem cell transplantation, or CAR-T therapy.
  • High-risk febrile neutropenia (ANC ≤ 100 cells/mm³, expected duration ≥ 7 days, or significant comorbidities).
  • Fever defined as oral temperature ≥38.3 °C once or ≥38.0 °C for ≥1 hour.
  • Hospitalized or requiring immediate admission at the time of FN diagnosis.
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  • ´- Initial uncomplicated clinical presentation, with no previous infection or colonization by multidrug-resistant bacteria.
  • Eligible for initial monotherapy with broad-spectrum empirical antibiotic.
  • Availability for serial plasma sampling and clinical follow-up.

Who cannot join

  • Age <18 years.
  • Low-risk FN according to MASCC/CISNE criteria.
  • Initial sample collected after antibiotic administration.
  • Decline or inability to provide informed consent.
  • Any condition preventing safe participation or reliable sample collection.
  • Fever induced by noninfectious causes (considered as adjustment factor, not exclusion).

Trial locations and contacts

3 sites in 1 country. Contact the study team or a site near you to ask about taking part.

Jesús Francisco Bermejo Martín, MD PhD contact

+34923 29 45 41

jfbermejo@usal.es

Nadia García Mateo, PhD contact

+34923 29 45 41

nadiagarciamateo@ibsal.es

Spain3 sites, 3 recruiting
  • Hospital Universitari Vall d'Hebron

    Barcelona, Barcelona

    Not yet recruiting
  • Complejo Asistencial Universitario de Salamanca

    Salamanca, Salamanca, 37007

    Jesús Francisco Bermejo Martín, PhD, +34923 29 45 41, jfbermejo@usal.es

    Recruiting
  • Hospital Universitario Virgen Macarena

    Seville, Sevilla

    Not yet recruiting

Other trials in Spain

About this study

Official title: A Multicenter Prospective Observational Study on the Plasma Proteomic Profiling of Human and Microbial Proteins for the Early Identification of Biomarker Combinations (Combitypes) Associated With Complications in Oncohematologic Patients With Febrile Neutropenia

Febrile neutropenia (FN) is a common oncologic emergency in patients with hematologic malignancies, associated with high morbidity and mortality. Early identification of patients at higher risk of complications such as sepsis or septic shock is critical to optimize antimicrobial management.

This study aims to characterize the human and microbial plasma proteome using high-resolution mass spectrometry to identify biomarker combinations ("combitypes") capable of predicting complications in oncohematologic patients with FN.

A cohort of 350 adult patients with high-risk FN and initially uncomplicated clinical presentation will be enrolled across three tertiary hospitals. Plasma samples will be collected at fever onset (before antibiotic initiation) and after 48 hours. Proteomic data will be integrated with clinical information using multivariate and machine learning models to develop a predictive model for complications.

Read the detailed description

This multicenter, prospective, observational study will evaluate whether combined proteomic profiles of host and microbial origin can predict complications in patients with hematologic malignancies presenting with high-risk febrile neutropenia (FN).

FN is defined as an oral temperature ≥38.3 °C once or ≥38.0 °C for ≥1 hour in patients with an absolute neutrophil count (ANC) <500 cells/mm³ or expected to decrease below that threshold within 48 hours. Despite empirical broad-spectrum antibiotics, up to 50% of these patients develop sepsis, and 10% progress to septic shock.

Current biomarkers such as C-reactive protein (CRP) or procalcitonin (PCT) have limited specificity in this immunocompromised population. This study proposes a novel integrative proteomic approach based on mass spectrometry to simultaneously quantify host and microbial proteins in plasma, identifying molecular patterns associated with poor outcomes.

Plasma samples (10 mL, EDTA) will be obtained at two time points: the first febrile episode (prior to antibiotic administration) and 48 hours later. Proteins will be processed using PreOmics® ENRICHplus technology and analyzed via LC-MS/MS on an Evosep One-timsTOF Pro2 platform. Differentially expressed proteins will be identified using a data-independent acquisition (DIA-PASEF) workflow and validated in a subset of 200 patients through targeted mass spectrometry.

Clinical, analytical, and microbiological data will be collected via the REDCap platform. Machine learning models (XGBoost, SHAP interpretability) will be used to generate a predictive risk model for complications, integrating proteomic and clinical data.

This study is expected to establish a new decision-support tool for early identification of high-risk FN patients, facilitating personalized antimicrobial strategies and improved prognosis.

Being tested
Plasma and DNA sample collection for proteomic and genomic analysis
Keywords
febrile neutropenia, hematologic malignancy, proteomics, sepsis, biomarkers, septic shock, mass spectrometry
Medical subject headings
Febrile Neutropenia, Hematologic Neoplasms, Sepsis, Shock, Septic

What participants receive

What participants receive. In a randomised study each person is assigned to one group by chance.

  • Plasma and DNA sample collection for proteomic and genomic analysisBiological

    Collection of 10 mL of peripheral blood in EDTA tubes at fever onset (before antibiotic initiation) and 48 hours later for proteomic and genomic analysis. Samples are processed to obtain plasma and DNA, which will be used for mass spectrometry-based proteomics and potential metagenomic studies.

Study groups in NCT07277387
Study groupRoleWhat they receive
High-risk FN cohortAdult onco-hematologic inpatients meeting inclusion criteria; two plasma draws at fever onset and 48 h.
Receives: Biological: Plasma and DNA sample collection for proteomic and genomic analysis

What is being measured

The primary outcome is the main question the study is designed to answer.

  1. Identification of plasma host-microbial proteomic signatures (combitypes) associated with major complications in febrile neutropenia.

    Evaluation of proteomic profiles (human and microbial) associated with hemodynamic instability, sepsis, septic shock, or death.

    Measured: Within 7 days from fever onset.

Secondary outcomes (5)
  1. Dynamic changes in plasma proteome over 48 hours

    Assessment of longitudinal variations in host and microbial protein levels between baseline and 48 hours.

    Measured: 0-48 hours

  2. Predictive performance of identified combitypes versus conventional biomarkers (CRP, PCT)

    Comparison of ROC-AUC for new proteomic models against current inflammatory markers.

    Measured: Up to 7 days.

  3. Correlation between microbial proteomic profiles and microbiologically documented infections

    Association between detected microbial peptides and confirmed pathogens.

    Measured: During hospitalization (up to 30 days).

  4. Development of a predictive model for complications

    A predictive risk model for complications will be developed using machine-learning algorithms (XGBoost) based on the integration of plasma proteomic data and relevant clinical parameters collected at fever onset and during follow-up. The model will be trained and internally validated within the full study cohort using cross-validation techniques to optimize predictive performance and minimize overfitting.

    Measured: Study duration (36 months).

  5. Validation of selected protein biomarkers by targeted mass spectrometry

    Selected protein biomarkers previously identified through discovery-phase proteomic profiling will be validated using targeted LC-MS/MS mass spectrometry in plasma samples from 200 patients within the study cohort. This validation phase will assess the analytical performance (including reproducibility, accuracy, and sensitivity) of the selected biomarkers, as well as their clinical relevance in predicting complications such as hemodynamic instability, sepsis, septic shock, or death. This outcome cannot be divided into sepparate ones, as biomarker expression will be analyzed as a whole, given the fact that until the trial begins, the biomarkers associated with complications in oncohematologic patients with febrile neutropenia will be unkown. This outcome will determine the feasibility of implementing the identified biomarkers as prognostic tools in routine clinical practice for the early risk stratification of patients

    Measured: By end of study (month 36).

Timeline

From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.

  1. First posted11 Dec 2025
  2. Study start9 Jun 2026
  3. Primary completionDec 2028 (estimated)
  4. Study completionJan 2029 (estimated)

Resources

More details

For doctors and researchers: how the study is designed, who runs it, and its registry IDs.

Study design
Study type
Observational
Observational model
Cohort
Time perspective
Prospective
Enrolment
350 participants (estimated)
Target duration
30 Days
IDs, dates and publications
ClinicalTrials.gov ID
NCT07277387
Sponsor's protocol ID
COMBITYPES-FN
Status last verified
Apr 2026
First submitted
18 Nov 2025
Last updated
15 Jun 2026
Results posted
No
FDA-regulated drug
No
FDA-regulated device
No
Individual data sharing
Yes: Following anonymization, individual participant-level data supporting the publications will be made available. These data include demographic and clinical variables collected in REDCap. A data dictionary, eCRF, and-when possible-analysis scripts (R/Python) and FAIR-compliant metadata will also be provided. Data will be hosted within the controlled infrastructure of the project (XNAT/Core-lab) and, for controlled dissemination, within the Zenodo community of IBSAL, with DOI assignment and regulated access, in accordance with the GDPR/LOPDGDD and the study protocol as approved by the Research Ethics Committee.

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