Russler-Germain et al. (2023)
Study Overview
In their 2023 study published in Blood Advances, Russler-Germain et al. conducted a comprehensive clinicogenomic analysis of 370 patients with follicular lymphoma (FL) or transformed FL (t-FL). The research aimed to elucidate the relationship between genetic alterations and patient outcomes, particularly focusing on mutations associated with disease progression. (Source)
Key Findings
Mutation Burden
- No significant differences in mutation burden were observed among FL subsets categorized by grade, stage, watch-and-wait approach, or progression of disease within 24 months (POD24) status.
- However, mutation burden was notably higher in relapsed/refractory FL and t-FL compared to newly diagnosed FL.
Specific Gene Mutations
- CREBBP mutations were more prevalent in FL than in t-FL and were associated with shorter frontline progression-free survival (PFS) in FL patients.
- Mutations in STAT6, TP53, IGLL5, B2M, SOCS1, and MYD88 were more common in relapsed/refractory FL or t-FL than in newly diagnosed FL.
Mutations Associated with Progression (MAP) Signature
- The MAP signature was defined as the presence of two or more mutations among the seven genes: CREBBP, STAT6, TP53, IGLL5, B2M, SOCS1, and MYD88.
- Patients with newly diagnosed FL possessing a MAP signature exhibited shorter frontline PFS, indicating a higher risk of disease progression.
Clinical Implications
- The MAP signature may offer insights into FL progression risk, potentially providing a more generalizable prognostic tool than the m7-Follicular Lymphoma International Prognostic Index (m7-FLIPI).
- Identifying patients with a MAP signature at diagnosis could facilitate the development of targeted therapeutic strategies and inform clinical decision-making.
Conclusion
Russler-Germain et al.’s study enhances the understanding of the genetic factors influencing FL progression. The identification of a MAP signature associated with inferior outcomes at diagnosis underscores the importance of genetic profiling in FL and highlights the potential for personalized treatment approaches in managing this heterogeneous disease.
Summary of novel genes
| Entity | Tier 1 genes | Tier 2 genes | Tier 3 genes |
|---|---|---|---|
| FL | 2 | 18 | 0 |
Novel genes reported in this study
Tier 1
| New gene | FL tier |
|---|---|
| BCL10 | 1 |
| CD83 | 1 |
Tier 2
| New gene | FL tier |
|---|---|
| ABL2 | 2 |
| CD70 | 2 |
| CILP | 2 |
| CYP2A6 | 2 |
| GBP7 | 2 |
| GRM6 | 2 |
| IGLL5 | 2 |
| KIR3DL1 | 2 |
| MAGEC1 | 2 |
| MAP7D1 | 2 |
| MKI67 | 2 |
| NFKBIA | 2 |
| OR8H2 | 2 |
| PZP | 2 |
| SHROOM3 | 2 |
| SRRM2 | 2 |
| STAB2 | 2 |
| XIRP2 | 2 |


