Clinical trial · Observational
Molecular and Cellular Characterization of MALT Lymphoma
Molecular and Cellular Characterization of MALT Lymphoma Across Anatomical Sites: Integrative Transcriptomic and Epigenetic Approaches
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
Extranodal marginal zone lymphoma of mucosa-associated lymphoid tissue (MALT lymphoma) is an slow growing malignancy characterized by marked biological and clinical differences across different anatomical sites. Using participants' samples and clinical information, this observational and non-interventional research aims to generate a comprehensive molecular and cellular atlas of MALT lymphoma. The results will enable the identification of biologically meaningful tumor subtypes, microenvironmental niches, and candidate biomarkers with potential relevance for the diagnosis, prognosis, and therapy of MALT lymphoma.
Conditions
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| MALT Lymphoma | Extranodal Marginal Zone Lymphoma of Mucosa-Associated Lymphoid Tissue | ALIAS | 0.90 |
Interventions
Interventions (0)
Data not yet available
Design
Arms and outcomes
Arms (0)
[]Primary outcomes (1)
- measure
- Molecular and spatial profiles of MALT lymphoma
- timeFrame
- 6 months: from the end of samples collection to the end of study analysis
- description
- Generation of high-resolution molecular and spatial profiles of MALT lymphoma tissues, including annotation of malignant and non-malignant cell populations.
Secondary outcomes (2)
- measure
- Creation of a curated multi-omics dataset
- timeFrame
- 6 months: from the end of samples collection to the end of study analysis
- description
- Identification of spatial tumor-immune interactions, characterization of BCR/TCR clonality, derivation of molecular signatures associated with anatomical site and microenvironment, and creation of a curated multi-omics dataset suitable for deposition in controlled-access repositories
- measure
- Extraction of clinically relevant features using artificial intelligence (AI) from histology sections
- timeFrame
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
Show eligibility criteria text
Inclusion Criteria: 1. Male or female adults 18 years or older 2. Diagnosis of extranodal marginal zone lymphoma of mucosa-associated lymphoid tissue on histology after Jan 1st, 2000. 3. Availability of tumor material from biopsies (either frozen or formalin-fixed paraffin-embedded) (FFPE). 4. Availability of the baseline and follow-up annotations. Exclusion Criteria: * None
References
Publications (0)
Data not yet available