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Active, not recruitingNCT03436602Updated Nov 18, 2025

Personalized Risk Stratification Model of Follicular Lymphoma Patients

An observational study in Follicular Lymphoma, sponsored by Oncology Institute of Southern Switzerland. Active, not recruiting at 4 sites in 2 countries. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2025-11-18.

Sponsored by Oncology Institute of Southern Switzerland · Observational

Study type
Observational
Model
Cohort
Time perspective
Retrospective
Enrollment
370
Ages
18 Years and older
Sex
All
01

Study summary

The study aims at developping and validating an integrated clinico-molecular model for an accurate identification of FL patients who are progression free and progressed, respectively, at 24 months after treatment.

Read the detailed description

Already existing and coded tumor biological material and health-related personal data will be retrospectively collected. FL diagnosis will be confirmed by central pathology review. Tumor somatic mutations, immunoglobulin gene rearrangement and mutation status will be analyzed by targeted deep next generation sequencing of tumor genomic DNA. Gene expression profiling will be performed by targeted RNA-Seq of biopsy-derived RNA.

An immunohistochemistry panel assessing both tumor phenotype and microenvironment cellular composition will be assessed by Tissue macroarray. FISH will be performed to characterize the most recurrent follicular lymphoma chromosomal translocations.

The adjusted association between exposure variables and progression free survival will be estimated by Cox regression. This approach will provide the covariates independently associated with progression free survival that will be utilized in the development of a hierarchical molecular model to predict progression free survival at 24 months. The hierarchical order of relevance in predicting 24 months progression free survival among covariates will be established by recursive partitioning analysis. Overall, this approach will allow the development of a multilayer dynamic model for anticipating progression within 24 months from treatment.

The model developed in the training set will be tested in the validation sets and the model performance (c-index and net reclassification improvement) in the validation set will be compared with that in the training set. The accuracy of the multilayer model in predicting progression free survival at 24 months will be compared against the FLIPI using c-index and net reclassification improvement.

02

Conditions studied

  • Follicular Lymphoma

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Keywords

  • Personalized risk assessment
  • Risk stratification model
03

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Probability sample

Study population

Follicular lymphoma patients

Inclusion criteria

  • Diagnosis of FL after January 1st, 2004 (chemoimmunotherapy era)
  • Availability of tumor material collected before initiation of medical therapy
  • Availability of the baseline and follow-up annotations

Exclusion criteria

Exclusion Criteria:

  • None.
04

Study design

Observational model
Cohort
Time perspective
Retrospective
Enrollment
370 participants (actual)
Patient registry
No
Biospecimen retention
Samples with dna

Groups and cohorts

  • Training cohort

    Cohort of follicular lymphoma patients for the development of the multilayer risk stratification model

  • Validation cohort

    Cohort of follicular lymphoma patients for the validation of the developed multilayer risk stratification model

05

What researchers measure

Primary outcomes

  1. Accuracy of multilayer personalized stratification model

    Assessment of multilayer personalized stratification model accuracy in the identification of patients who are progression free at 24 months after first line therapy plus the proportion of patients correctly identified as progressed within 24 months after first line therapy

    Time frame: 24 months after first line treatment

Secondary outcomes

  1. Progression free survival

    Time elapsed from treatment start to progression (event), death (event) or last follow-up (censoring)

    Time frame: From treatment start to progression / death / last follow-up, up to 13 years of follow-up

  2. Overall survival

    Time elapsed from treatment start to death (event) or last follow-up (censoring)

    Time frame: From treatment start to death / last follow-up, up to 13 years of follow-up

  3. Time to transformation

    Time elapsed between treatment start and transformation (event), progression without transformation (censoring), death (censoring) or last follow-up (censoring)

    Time frame: From treatment start to transformation or progression without transformation or death or last follow-up, up to 13 years of follow-up

06

Study locations

4 sites
  • Arcispedale Santa Maria Nuova, AUSL IRCSS, Hematology Department
    Reggio Emilia, RE 42123, Italy
  • Azienda Ospedaliera Universitaria Maggiore della Carità
    Novara, 28100, Italy
  • Institute of Oncology Research
    Bellinzona, Canton Ticino 6500, Switzerland
  • Institute of Pathology
    Locarno, Canton Ticino, Switzerland
07

Registry details

Key details

Study ID
NCT03436602
Lead sponsor
Oncology Institute of Southern Switzerland
Collaborators
Azienda Ospedaliero Universitaria Maggiore della Carita, Azienda USL Reggio Emilia - IRCCS, Institute of Pathology, Locarno, Ticino, Switzerland
Responsible party
Sponsor
First posted
Feb 19, 2018
Start date
Mar 1, 2018
Primary completion
Oct 31, 2021
Completion
Oct 31, 2026 (estimated)
Last update
Nov 18, 2025

Study contacts

Davide Rossi, MD, PhD
principal investigator · Oncology Institute of Southern Switzerland

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is active, not recruiting, as verified in Nov 2025. You cannot join it, but the record below documents what was studied.

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