Abstract
Introduction: Hematologic malignancies are currently underrepresented in multidisciplinary molecular-tumor-boards (MTB). This study assesses the potential of precision-oncology in primary-refractory plasmablastic-lymphoma (prPBL), a highly lethal blood cancer. Methods: We evaluated clinicopathological and molecular-genetic data of 14 clinically annotated prPBL-patients from initial diagnosis. For this proof-of-concept study, we employed our certified institutional MTB-pipeline (University-Cancer-Center-Schleswig-Holstein, UCCSH) to annotate a comprehensive dataset within the scope of a virtual MTB-setting, ultimately recommending molecularly stratified therapies. Evidence-levels for MTB-recommendations were defined in accordance with the NCT/DKTK and ESCAT criteria. Results: Median age in the cohort was 76.5 years (range 56-91), 78.6% of patients were male, 50% were HIV-positive and clinical outcome was dismal. Comprehensive genomic/transcriptomic analysis revealed potential recommendations of a molecularly stratified treatment option with evidence-levels according to NCT/DKTK of at least m2B/ESCAT of at least IIIA were detected for all 14 prPBL-cases. In addition, immunohistochemical-assessment (CD19/CD30/CD38/CD79B) revealed targeted treatment-recommendations in all 14 cases. Genetic alterations were classified by treatment-baskets proposed by Horak et al. Hereby, we identified tyrosine-kinases (TK; n=4), PI3K-MTOR-AKT-pathway (PAM; n=3), cell-cycle-alterations (CC; n=2), RAF-MEK-ERK-cascade (RME; n=2), immune-evasion (IE; n=2), B-cell-targets (BCT; n=25) and others (OTH; n=4) for targeted treatment-recommendations. The minimum requirement for consideration of a drug within the scope of the study was FDA-fast-track development. Discussion: The presented proof-of-concept study demonstrates the clinical potential of precision-oncology, even in prPBL-patients. Due to the aggressive course of the disease, there is an urgent medical-need for personalized treatment approaches, and this population should be considered for MTB inclusion at the earliest time.
| Original language | English |
|---|---|
| Article number | 1129405 |
| Journal | Frontiers in Oncology |
| Volume | 13 |
| Pages (from-to) | 1129405 |
| ISSN | 2234-943X |
| DOIs | |
| Publication status | Published - 2023 |
Funding
The authors would like to thank Tanja Oeltermann for her skilled technical assistance. NR, AK and HB acknowledge computational support from the OMICS compute cluster at the University of Lübeck. HB acknowledges funding by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany`s Excellence Strategy – EXC 22167-390884018.
Research Areas and Centers
- Research Area: Luebeck Integrated Oncology Network (LION)
- Centers: University Cancer Center Schleswig-Holstein (UCCSH)
- Research Area: Medical Genetics
DFG Research Classification Scheme
- 2.22-14 Hematology, Oncology
- 2.11-05 General Genetics and Functional Genome Biology
- 2.11-07 Bioinformatics and Theoretical Biology
- 2.22-01 Epidemiology, Medical Biometry/Statistics
- 2.22-03 Human Genetics