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Record W3097090129 · doi:10.1182/blood-2020-136645

Risk Profiling of Relapsed/Refractory Diffuse Large B-Cell Lymphoma Patients By Measuring Circulating Tumor DNA

2020· article· en· W3097090129 on OpenAlexaff
Alex F. Herrera, Samuel Tracy, Brandon Croft, Stephen Opat, Jill Ray, Lisa Musick, Joseph N. Paulson, Laurie H. Sehn, Yanwen Jiang

Bibliographic record

VenueBlood · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer Genomics and Diagnostics
Canadian institutionsBC Cancer Agency
Fundersnot available
KeywordsBendamustineInternal medicineDiffuse large B-cell lymphomaRituximabMedicineOncologyLymphomaGastroenterology

Abstract

fetched live from OpenAlex

Introduction Early identification of patients (pts) with relapsed or refractory diffuse large B-cell lymphoma (R/R DLBCL) at high risk for treatment failure may allow for interventions to improve outcomes; however, known prognostic factors are inadequate. Circulating tumor DNA (ctDNA) has demonstrated the ability to identify previously untreated DLBCL pts at high risk of relapse (Kurtz et al. 2018). We assessed the potential for ctDNA to identify pts with R/R DLBCL receiving bendamustine and rituximab (BR) +/- polatuzumab (pola) at higher risk for disease progression. Methods GO29365 (NCT02257567) is a Phase Ib/II study comparing pola+BR versus BR in pts with transplant-ineligible R/R DLBCL and enrolled 80 pts (n=40 per randomized arm). The primary efficacy objective was independent review committee (IRC)-assessed complete response (CR) rate at primary response assessment (PRA, 6-8 weeks after Cycle 6, Day 1 or last dose of study drug). ctDNA was measured in available cohort samples using a customized DLBCL panel on a modified ctDNA CAPP-Seq workflow developed based on the prototype assay reported in Kurtz et al. 2018, with improvement of sensitivity and specificity. ctDNA was reported as mean mutant molecules per mL (MMPM). Plasma depleted whole blood from baseline was used as a source of germline DNA to filter non-tumor-specific variants. A total of 43 samples were available at baseline; eight pts without a paired germline were excluded from efficacy and correlative analyses. Of the 35 samples (n=21 Pola+BR; n=14 BR) with available germline data, paired samples were available for 25 pts at PRA. Detectable ctDNA (+/-) was determined using empirical p-values (<0.05) through a bootstrap algorithm (Newman et al. 2014, Pati et al. 2018). The proportions of pts with detectable ctDNA are reported by visit with 95% Clopper-Pearson binomial confidence intervals (CI). A Kruskal-Wallis test was used to compare ctDNA levels by response. Univariate and multivariate cox regression was used to correlate ctDNA levels with progression-free survival (PFS) and overall survival (OS). Results are reported descriptively without multiple testing correction. Results Intent-to-treat and biomarker evaluable populations were similar in demographics and efficacy, but there was a higher proportion of pola+BR versus BR pts assayed (60% vs 40%). Analyses are reported for the pooled arms, but results were consistent across both arms. ctDNA was detected in all available baseline (n=43) samples (95% CI: 92-100). Baseline ctDNA levels were correlated with known prognostic factors including International Prognostic Index (IPI), lactate dehydrogenase (LDH), Ann Arbor stage and number of prior therapies (Figure 1A). Higher ctDNA levels at baseline were negatively prognostic; when stratifying pts by median ctDNA levels the hazard ratio (HR) for PFS was 0.16 (95% CI: 0.07-0.41; Figure 1B); OS HR 0.23 (95% CI: 0.10-0.52). Similar results were observed for other quartile stratifications. This significant trend was maintained when adjusted in multivariate analysis for treatment, IPI >3, and LDH > upper limit of normal with an adjusted HR for PFS of 0.24 (95% CI: 0.07-0.81) and for OS an adjusted HR of 0.30 (95% CI: 0.09-0.97). Similar to the first-line setting (Kurtz et al. 2018), on-treatment log fold-changes in ctDNA trended with PRA response (Figure 1C); pts with a CR had a significantly greater average decrease in MMPM across timepoints than non-CR pts (Wilcoxon p-value <0.001). At PRA, four pts (three in pola+BR, one in BR) had cleared ctDNA, potentially due to treatment, all of which achieved CR. ctDNA was detectable in the remaining patients (n=25, 84%, 95% CI: 64-95). There was no clear trend between log fold reduction of ctDNA at PRA and PFS in this cohort, though this analysis is limited by sample size. Conclusions Baseline ctDNA levels were correlated with standard clinical risk factors, and were shown to have independent prognostic value for response, PFS and OS in R/R DLBCL pts treated with BR +/- pola. The degree of ctDNA change upon treatment was also correlated with response, but association with PFS needs further investigation with a larger sample size. This provides early evidence that ctDNA can be used to improve identification of R/R DLBCL pts at high risk for disease progression/relapse. Figure Disclosures Herrera: AstraZeneca: Research Funding; Karyopharm: Consultancy; Genentech, Inc./F. Hoffmann-La Roche Ltd: Consultancy, Research Funding; Immune Design: Research Funding; Seattle Genetics: Consultancy, Research Funding; Gilead Sciences: Consultancy, Research Funding; Pharmacyclics: Research Funding; Merck: Consultancy, Research Funding; Bristol Myers Squibb: Consultancy, Other: Travel, Accomodations, Expenses, Research Funding. Tracy:F. Hoffmann-La Roche: Current Employment, Current equity holder in publicly-traded company; Genentech, Inc.: Current Employment. Croft:Genentech, Inc.: Current Employment, Current equity holder in publicly-traded company, Divested equity in a private or publicly-traded company in the past 24 months. Opat:Merck: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; AstraZenca: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Beigene: Research Funding; Gilead: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; CSL: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Mundipharma: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Amgen: Research Funding; Janssen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Epizyme: Research Funding; F. Hoffman-La Roche Ltd: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel accomodations, Research Funding; AbbVie: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Ray:F. Hoffmann-La Roche Ltd: Current Employment, Current equity holder in publicly-traded company; Genentech, Inc.: Current Employment. Musick:F. Hoffmann-La Roche Ltd: Current equity holder in publicly-traded company; Roche/Genentech, Inc.: Current Employment. Paulson:F. Hoffmann-La Roche Ltd.: Current Employment, Current equity holder in publicly-traded company. Sehn:Chugai: Consultancy, Honoraria; Servier: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; Teva: Consultancy, Honoraria, Research Funding; Seattle Genetics: Consultancy, Honoraria; F. Hoffmann-La Roche Ltd: Consultancy, Honoraria, Research Funding; MorphoSys: Consultancy, Honoraria; Merck: Consultancy, Honoraria; Lundbeck: Consultancy, Honoraria; Karyopharm: Consultancy, Honoraria; Gilead: Consultancy, Honoraria; Kite: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Celgene: Consultancy, Honoraria; Acerta: Consultancy, Honoraria; Genentech, Inc.: Consultancy, Honoraria, Research Funding; AstraZeneca: Consultancy, Honoraria; Apobiologix: Consultancy, Honoraria; AbbVie: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Verastem Oncology: Consultancy, Honoraria; TG therapeutics: Consultancy, Honoraria. Jiang:F. Hoffmann-La Roche: Current equity holder in publicly-traded company; Genentech, Inc.: Current Employment.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.007
GPT teacher head0.190
Teacher spread0.183 · 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 source (direct Gemma or distilled Codex), 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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Citations0
Published2020
Admission routes1
Has abstractyes

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