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1606 Shallow Whole Genome Sequencing of Circulating Tumor DNA Is Predictive of Outcome in Diffuse Large B-Cell Lymphoma

Program: Oral and Poster Abstracts
Session: 621. Lymphomas: Translational – Molecular and Genetic: Poster I
Hematology Disease Topics & Pathways:
Research, Translational Research
Saturday, December 7, 2024, 5:30 PM-7:30 PM

Davidson Zhao1,2, Victoria Shelton, MSc1*, Inna Gong, MD, PhD3, Juan Rangel-Patiño, MD1, Ting Liu, PhD1*, Michael Hong1*, Vanessa Murad, MD4*, Ur Metser4*, Anca Prica, MD3, Vishal Kukreti, MD, MSc5, Sita Bhella, MD3*, Abi Vijenthira, MD, MS3, Michael Crump, MD3*, John Kuruvilla, MD, FRCPC3, Bernard Lam, PhD6* and Robert Kridel, MD, PhD3

1Princess Margaret Cancer Centre - University Health Network, Toronto, ON, Canada
2Department of Medical Biophysics - University of Toronto, Toronto, Canada
3Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre - University Health Network, Toronto, ON, Canada
4Department of Medical Imaging, Princess Margaret Cancer Centre - University Health Network, Toronto, ON, Canada
5Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, Toronto, ON, Canada
6Ontario Institute for Cancer Research, Toronto, Canada

Introduction

Patients with diffuse large B-cell lymphoma (DLBCL) have heterogeneous outcomes, which necessitates the discovery of novel prognostic biomarkers. Plasma from peripheral blood is a minimally invasive source of circulating tumor DNA (ctDNA). Prior studies using targeted DNA sequencing have revealed that pre-treatment ctDNA levels are predictive of outcome in DLBCL (Kurtz et al. 2018, etc.). However, such assays are expensive, and there remains a need for cost-effective methods to reliably estimate tumor burden in plasma. To this end, we evaluated the clinical utility of ctDNA in patients with newly diagnosed DLBCL using shallow whole genome sequencing (sWGS) - a low-cost method to estimate tumor burden without prior knowledge of tumor mutations.

Methods

sWGS (intended coverage 0.1-1X) was performed on plasma from peripheral blood samples of patients with newly diagnosed DLBCL at our institution. ichorCNA was used to estimate tumor fraction in plasma from sWGS (Adalsteinsson et al. 2017). FDG PET-CT scan was performed for disease burden assessment. Targeted DNA sequencing (hybridization capture) for recurrently mutated genes in lymphoma was performed on plasma samples; ctDNA concentration was expressed as log haploid genome equivalents per mL of plasma. The Fisher's exact test, Mann Whitney test and Pearson’s correlation were used as appropriate to assess association between variables.

Results

We performed sWGS on pre-treatment plasma samples from 53 patients with newly diagnosed DLBCL (median age 62 years). The median follow-up time of the cohort was 2.6 years (range: 0.02 - 4.8 years). The majority (47/53, 89%) of patients were treated with curative-intent chemoimmunotherapy regimens including R-CHOP (n=42), R-CHOP/HD-MTX (n=4) and DA-EPOCH-R (n=1). FDG PET-CT data from time of diagnosis was available for 50 (94%) patients.

High tumor fraction, as stratified by the median value (0.07, range: 0 - 0.61), in pre-treatment plasma was associated with established measures of tumor burden, including advanced-stage disease (Ann Arbor stage III/IV; 69% vs. 22%; P < 0.001), elevated serum lactate dehydrogenase (median 351 vs. 250 U/L; P < 0.001), increased tumor size (maximum diameter; median 7 vs. 4 cm; P < 0.001), and >1 extranodal site (38% vs. 7%; P = 0.009). Tumor fraction in pre-treatment plasma was correlated with total lesion glycolysis assessed by FDG PET-CT (R = 0.51, P < 0.001).

Targeted DNA sequencing was performed in pre-treatment plasma samples for 50 (94%) patients, of which the majority (47/50, 94%) had detectable mutation(s) in plasma. Tumor fraction quantified using sWGS was concordant with ctDNA concentration as determined by targeted DNA sequencing (R = 0.75, P < 0.001).

Among patients treated with curative-intent chemoimmunotherapy regimens, high tumor fraction in pre-treatment plasma, as determined by sWGS, was associated with inferior progression-free survival (PFS, 2-year PFS 53% vs. 94%, P < 0.001) and overall survival (OS, 2-year OS 60% vs. 97%, P = 0.003). In multivariable analysis, high cell-free tumor fraction remained a predictor for inferior PFS but not OS (PFS: P = 0.037, OS: P = 0.102), independent of International Prognostic Index scoring and total lesion glycolysis.

Conclusions

Tumor fraction in plasma quantified using sWGS is correlated with established measures of tumor burden in DLBCL and orthogonal measures of tumor burden in plasma. Importantly, high tumor fraction is associated with inferior outcomes in patients with newly diagnosed DLBCL. Our study highlights the potential clinical utility of sWGS performed on ctDNA as a minimally invasive assay for DLBCL risk assessment.

Disclosures: Metser: Radialis: Consultancy. Prica: Kite-Gilead: Honoraria; Astra Zeneca: Honoraria; AbbVie: Honoraria. Bhella: Kite, Gilead: Consultancy, Honoraria. Crump: Canada's Drug Agency (CADTH): Honoraria; Kyte/Gilead: Honoraria; Epizyme/Ipsen: Research Funding; Roche: Research Funding. Kuruvilla: DSMB Karyopharm: Other; AbbVie, Amgen, AstraZeneca, BMS, Genmab, Gilead, Incyte, Janssen, Merck, Novartis, Pfizer, F. Hoffmann-La Roche Ltd, Seattle Genetics: Honoraria; F. Hoffmann-La Roche Ltd, AstraZeneca, Merck, Novartis: Research Funding; AbbVie, BMS, Gilead, Merck, F. Hoffmann-La Roche Ltd, Seattle Genetics: Consultancy. Kridel: Abbvie: Research Funding; Roche: Research Funding; AstraZeneca: Research Funding; Acerta Pharma: Research Funding; Eisai: Other: Travel expenses; BMS: Research Funding; Telix Pharmaceuticals: Current equity holder in publicly-traded company; ITM Isotope Technologies Munich SE: Current equity holder in private company.

*signifies non-member of ASH