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Record W4310106561 · doi:10.1182/blood-2022-157559

Risk Profiling of Patients with Previously Untreated Diffuse Large B-Cell Lymphoma (DLBCL) By Measuring Circulating Tumor DNA (ctDNA): Results from the POLARIX Study

2022· article· en· W4310106561 on OpenAlexaff
Alex F. Herrera, Ronald McCord, Patrick K. Kimes, Fabrice Jardin, Georg Lenz, Marek Trněný, Christopher R. Flowers, Laurie H. Sehn, Gilles Salles, Jeff P. Sharman, Hervé Tilly, Jonathan W. Friedberg, Charles Herbaux, Matthew J. Matasar, Corinne Haïoun, Samuel Tracy, Jamie Hirata, Calvin Lee, Yanwen Jiang, Franck Morschhauser

Bibliographic record

VenueBlood · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer Genomics and Diagnostics
Canadian institutionsSpinal Cord Injury BCUniversity of British Columbia
Fundersnot available
KeywordsHazard ratioInternal medicineMedicineConfidence intervalOncologyProportional hazards modelUnivariate analysisDiffuse large B-cell lymphomaGastroenterologyLymphomaMultivariate analysis

Abstract

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Background: Retrospective studies suggest that change in ctDNA levels after 1-2 cycles of induction therapy in patients (pts) with previously untreated DLBCL is associated with event-free survival and overall survival (OS), using a log-fold change (LFC) cutoff in ctDNA levels of 2.0 (Kurtz DM, et al. J Clin Oncol 2018). The prognostic value of ctDNA has not been prospectively validated; this is a prespecified exploratory analysis of the prognostic value of ctDNA in the POLARIX study (NCT03274492). Methods: Pts in POLARIX had previously untreated DLBCL and were randomized to receive Pola-R-CHP or R-CHOP (Tilly H, et al. N Engl J Med 2022). Plasma ctDNA levels were measured at baseline and Cycle 2 Day 1 (C2D1) using the AVENIO NHL CAPP-Seq assay and are reported as mean mutant molecules per mL (MMPM; Herrera AF, et al. Blood Adv 2022). Plasma-depleted whole blood at baseline was used as a source of germline DNA to filter non-tumor-specific variants. Change in ctDNA levels was characterized as the log10 ratio between baseline and C2D1 MMPM (LFC); a LFC cutoff of 2.0 was used in this analysis. ctDNA clearance was determined with a detection cutoff of p=0.005 (Scherer F, et al. Sci Transl Med 2016). Univariate and multivariate Cox regression were used to identify relationships between ctDNA and progression-free survival (PFS) and OS. Hazard ratios (HR) are reported with 95% confidence intervals. Results: Results for paired ctDNA samples at baseline and C2D1 were available for 319/440 (72.5%; Pola-R-CHP) and 299/439 (68.1%; R-CHOP) pts. A median 135 (range: 1-644) variants were detected per pt. Baseline ctDNA levels were not statistically different between the two arms (median MMPM: Pola-R-CHP, 356; R-CHOP, 237; p=0.2); high baseline MMPM was associated with high baseline IPI score (p<0.001), ABC DLBCL (p<0.001), ECOG performance status >1 (p<0.001), and presence of bulky disease (>7.5cm; p<0.001). In both arms, pts with baseline ctDNA levels above the median MMPM had shorter PFS (Pola-R-CHP: HR, 1.96 [1.21-3.18]; R-CHOP: HR, 1.43 [0.92-2.20]) and OS (Pola-R-CHP: HR, 2.17 [1.07-4.37]; R-CHOP: HR, 2.10 [1.05-4.21]) than pts with baseline ctDNA levels below the median MMPM. Change in ctDNA levels from baseline to C2 as a continuous fold-change value was associated with PFS (HR, 0.75 [0.65-0.87]) and OS (HR, 0.78 [0.63-0.96]) in both arms. Pts with greater reductions in ctDNA levels after one treatment cycle had longer PFS and OS than pts with lower ctDNA reductions after one cycle. LFC ≥2.0 or undetectable ctDNA at C2D1 were achieved by 66.8% (213/319) of Pola-R-CHP-treated pts and 65.6% (196/299) of R-CHOP-treated pts. Stratifying pts at this LFC threshold was strongly prognostic of survival outcomes by arm (LFC <2.0 vs LFC ≥2.0, PFS HR: Pola-R-CHP 1.86 [1.18-2.92], R-CHOP 2.21 [1.43-3.41], OS HR: Pola-R-CHP 1.48 [0.77-2.81], R-CHOP 2.67 [1.34-5.30]). To define an optimal risk cutoff for pts receiving Pola-R-CHP, pts were grouped into training and validation cohorts. A LFC threshold of 2.5 (LFC ≥2.5 Pola-R-CHP: 54.2% [173/319]; R-CHOP: 54.8% [164/299]) was better able to identify pts at risk of poorer outcomes (LFC <2.5 vs LFC ≥2.5, PFS HR 2.89 [1.78-4.69], 24-month estimates 65.7% [58.3-74.0] vs 87.0% [82.0-92.2]; OS HR 1.87 [0.98-3.58], 24-month estimates 86.2% [80.8-92.0] vs 91.8% [87.7-96.0]; Figure A). In the Pola-R-CHP arm, pts with ctDNA clearance at C2D1 had superior outcomes vs pts with detectable ctDNA at C2D1 (not cleared vs cleared, PFS HR 2.98 [1.53-5.80]; OS HR 2.74 [1.07-7.02]). LFC 2.5 and ctDNA clearance were evaluated in separate multivariate analyses; it was found that both LFC 2.5 and ctDNA clearance are prognostic for PFS and OS in Pola-R-CHP treated pts, independent of key baseline risk factors (Figure B). LFC 2.5 and ctDNA clearance were also prognostic in R-CHOP-treated pts. Lastly, the top five commonly mutated genes identified in baseline ctDNA were HIST1H variants, TP53, PIM1, MYD88, and BCL2; analysis of clonal change on- and post-treatment is ongoing. Conclusions: Based on this prespecified exploratory analysis from the POLARIX study, ctDNA analysis has prognostic value for pts with previously untreated DLBCL. Pts who did not achieve ≥2.5 LFC and/or did not have ctDNA clearance following one cycle of Pola-R-CHP had inferior outcomes than those who did. Early changes in ctDNA levels may be of use in risk-adapted trial designs to identify pts in need of alternative treatment. Figure 1View largeDownload PPTFigure 1View largeDownload PPT Close modal

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.548
Threshold uncertainty score0.598

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.005
GPT teacher head0.183
Teacher spread0.178 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations17
Published2022
Admission routes1
Has abstractyes

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