Gene Expression Signatures for the Accurate Diagnosis of Peripheral T-Cell Lymphoma Entities in the Routine Clinical...

Area of Science:

• Hematologic Oncology
• Molecular Pathology
• Genomic Medicine

Background:

• Peripheral T-cell lymphoma (PTCL) is a heterogeneous group of cancers with significant diagnostic and therapeutic challenges.
• Previous research identified transcriptomic signatures for PTCL entities and novel subtypes (PTCL-TBX21, PTCL-GATA3).
• Current diagnostic methods for PTCL lack precision and uniformity.

Purpose of the Study:

• To develop and validate a gene expression-based subclassification for PTCL using formalin-fixed, paraffin-embedded (FFPE) tissues.
• To improve the accuracy and precision of PTCL diagnosis through a transcriptomic approach.
• To consolidate a reliable diagnostic signature for clinical application.

Main Methods:

• A training cohort (n=105) underwent gene expression profiling on fresh-frozen tissue, with signatures refined and validated on matched FFPE tissues using a digital gene expression platform.
• Statistical filtering refined transcriptomic signatures.
• A validation cohort (n=140) with rigorous pathology review was used to assess the classifier's performance against expert hematopathologist diagnoses.

Main Results:

• The refined transcriptomic classifier in FFPE tissues demonstrated high sensitivity (>80%), specificity (>95%), and accuracy (>94%) in the training cohort.
• In the validation cohort, the classifier matched expert pathology diagnoses in 85% of cases, with potential to improve diagnosis in challenging cases.
• Molecular subclassification provided comprehensive characterization, including viral etiologies and translocation partners.

Conclusions:

• A novel transcriptomic approach for PTCL subclassification has been developed.
• This method offers higher precision and uniformity compared to conventional pathology diagnosis.
• The developed classifier is suitable for translation into clinical practice for improved PTCL diagnosis.