MétaCan
Menu
Back to cohort
Record W4379981753 · doi:10.1002/hon.3163_111

CIRCULATING TUMOR DNA (CTDNA) STATUS AND CLINICAL OUTCOMES IN PATIENTS (PTS) WITH PREVIOUSLY UNTREATED DIFFUSE LARGE B‐CELL LYMPHOMA (DLBCL) IN THE POLARIX STUDY

2023· article· en· W4379981753 on OpenAlexaff
Alex F. Herrera, Samuel Tracy, Laurie H. Sehn, Fabrice Jardin, Georg Lenz, Marek Trněný, Gilles Salles, C. R. Flowers, Hervé Tilly, Jeff P. Sharman, Jonathan W. Friedberg, S. Balasubramanian, V. Raghavan, Jamie Hirata, Christopher S. Lee, Yizhou Jiang, Franck Morschhauser

Bibliographic record

VenueHematological Oncology · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer Genomics and Diagnostics
Canadian institutionsRoche (Canada)Spinal Cord Injury BCUniversity of British Columbia
FundersGenentechF. Hoffmann-La RocheSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungNational Science Foundation
KeywordsMedicineInternal medicineHazard ratioDiffuse large B-cell lymphomaOncologyGastroenterologyLymphomaNuclear medicineConfidence interval

Abstract

fetched live from OpenAlex

Introduction: In the POLARIX study, pts with previously untreated DLBCL were randomized to Pola-R-CHP or R-CHOP (NCT03274492; Tilly et al., 2022). We previously validated the prognostic value of ctDNA at baseline and after one cycle of therapy in POLARIX (Herrera et al., 2022); here, we evaluate the relationship between ctDNA clearance and PFS and OS. Methods: Pts were included if baseline and longitudinal ctDNA results were available. Plasma ctDNA was measured at baseline, Cycle (C) 5 Day (D) 1, and end of treatment (EOT), with the AVENIO NHL CAPP-Seq assay (Stokowski et al. 2022). ctDNA clearance was determined as previously described (Herrera et al. 2022). PFS and OS according to ctDNA status were reported as landmarked hazard ratios (HR) and 3-yr rates. HRs were adjusted for IPI score (>2), region, bulky disease (>7.5 cm), age (>60 years), and cell of origin. Results: At baseline, 654 pts had ctDNA results; 494 (76%) and 519 (79%) pts were evaluable at C5D1 and EOT, respectively. Undetectable ctDNA (ctDNA−) was achieved by 57% (152/265) of Pola-R-CHP-treated pts and 59% (135/229) of R-CHOP-treated pts at C5D1 (p = 0.79), and by 66% (172/262) of Pola-R-CHP-treated pts and 67% (172/257) of R-CHOP-treated pts at EOT (p = 0.83). Achieving ctDNA—was prognostic for PFS and OS in each treatment arm at C5D1 and EOT (Table). Pts in the Pola-R-CHP arm who had complete response (CR) with PET-CT and ctDNA—at EOT had superior PFS and OS compared with pts with CR and detectable ctDNA (ctDNA+) at EOT (PFS HR 0.30, 95% confidence interval [CI]: 0.14–0.66; OS HR 0.20, 95% CI: 0.07–0.60). This was not observed with R-CHOP (PFS HR 0.74, 95% CI: 0.34–1.63; OS HR 1.11, 95% CI: 0.30–4.16). Among pts with CR and ctDNA—at EOT, pts treated with Pola-R-CHP had superior PFS versus R-CHOP (HR 0.41, 95% CI: 0.21–0.82); this was not observed with OS (HR 0.41, 95% CI: 0.14–1.18). There was no statistically significant difference in PFS between treatment arms in pts with CR and ctDNA+ at EOT (PFS HR 1.20, 95% CI: 0.49–2.83). Conclusions: Achieving ctDNA—at C5D1 and EOT was prognostic for longer survival. Although no difference was observed in the number of pts with ctDNA—at EOT between arms, pts achieving CR and ctDNA—at EOT had superior PFS in the Pola-R-CHP versus the R-CHOP arm, suggesting deeper molecular responses in pts treated with Pola-R-CHP beyond the detection sensitivity of the assay used in this analysis. Encore Abstract—previously submitted to ASCO 2023 The research was funded by: The POLARIX study (NCT03274492) was sponsored by F. Hoffmann-La Roche Ltd and Genentech, Inc. Third-party editorial assistance, under the direction of the authors, was provided by Carla Smith, MSc, of Ashfield MedComms, an Inizio company, and was funded by F. Hoffmann-La Roche Ltd. Keywords: aggressive B-cell non-Hodgkin lymphoma, diagnostic and prognostic biomarkers, minimal residual disease Conflicts of interests pertinent to the abstract A. F. Herrera Consultant or advisory role: Bristol-Myers Squibb, Seattle Genetics, Merck, Genentech, Inc./F. Hoffmann-La Roche Ltd, AstraZeneca/MedImmune, Karyopharm Therapeutics, ADC Therapeutics, Takeda, Regeneron, Genmab, Tubulis GmbH, Pfizer, Adicet Bio, Caribou Biosciences, AbbVie Research funding: Bristol-Myers Squibb, Merck, Genentech, Inc./F. Hoffmann-La Roche Ltd, Kite (a Gilead company), AstraZeneca, Seattle Genetics, Gilead Sciences, ADC Therapeutics Educational grants: Bristol-Myers Squibb S. Tracy Employment or leadership position: Genentech, Inc. Stock ownership: F. Hoffmann-La Roche Ltd L. H. Sehn Consultant or advisory role: Celgene, AbbVie, Seattle Genetics, TG Therapeutics, Janssen, Amgen, F. Hoffmann-La Roche Ltd/Genentech, Inc., Gilead Sciences, Lundbeck, Amgen, Apobiologix, Karyopharm Therapeutics, Kite (a Gilead Company), Merck, Takeda, Teva, TG therapeutics, AstraZeneca, Acerta Pharma, MorphoSys, Incyte, Debiopharm Group, Sandoz-Novartis, Genmab, Verastem Honoraria: Amgen, Apobiologix, AbbVie, Celgene, Gilead Sciences, Janssen-Ortho, Karyopharm Therapeutics, Kite (a Gilead Company), Lundbeck, Merck, F. Hoffmann-La Roche Ltd/Genentech, Inc., Seattle Genetics, Takeda, Teva, TG Therapeutics, AstraZeneca, Acerta Pharma, MorphoSys, Incyte, Debiopharm Group, Sandoz-Novartis, Verastem, Genmab Research funding: F. Hoffmann-La Roche Ltd/Genentech, Inc., Teva F. Jardin Consultant or advisory role: F. Hoffmann-La Roche Ltd Honoraria: F. Hoffmann-La Roche Ltd, Celgene, Janssen, AbbVie/Genentech, Inc. Educational grants: F. Hoffmann-La Roche Ltd G. Lenz Consultant or advisory role: F. Hoffmann-La Roche Ltd, Gilead, Janssen, Bristol-Myers Squibb, Novartis, AbbVie, Incyte, Genmab, Constellation, ADC Therapeutics, Karyopharm, Miltenyi, PentixaPharm, Sobi, Immagene, Genase, Hexal/Sandoz, Lilly Research funding: Janssen, Bayer, AstraZeneca, MorphoSys Educational grants: AbbVie, Janssen, F. Hoffmann-La Roche Ltd Other remuneration: F. Hoffmann-La Roche Ltd, Gilead, Novartis, Takeda, Bristol-Myers Squibb, AbbVie, Incyte, ADC Therapeutics, Sobi, Hexal/Sandoz (Speaker's Bureau). F. Hoffmann-La Roche Ltd (Expert Testimony) M. Trněný Consultant or advisory role: Takeda, Bristol-Myers Squibb, Incyte, AbbVie, Amgen, F. Hoffmann-La Roche Ltd, Gilead Sciences, Janssen, MorphoSys, Novartis Honoraria: Janssen, Gilead Sciences, Takeda, Bristol-Myers Squibb, Amgen, AbbVie, F. Hoffmann-La Roche Ltd, MorphoSys, Novartis Educational grants: Gilead Sciences, Takeda, Bristol-Myers Squibb, F. Hoffmann-La Roche Ltd, Janssen, AbbVie G. Salles Consultant or advisory role: F. Hoffmann-La Roche Ltd/Genentech, Inc., Janssen, Novartis, MorphoSys, Epizyme, Genmab, Debiopharm Group, Velosbio, Bristol-Myers Squibb, BeiGene, Incyte, Miltenyi Biotec, Ipsen, AbbVie, Kite/Gilead, Loxo/Lilly, Molecular Partners, Nordic Nanovector, RAPT Therapeutics, Takeda, Incyte Stock ownership: Owkin Honoraria: AbbVie, Bayer, Regeneron, Incyte C. R. Flowers Consultant or advisory role: Bayer, Gilead Sciences, Spectrum Pharmaceuticals, AbbVie, Celgene, Denovo Biopharma, BeiGene, Karyopharm Therapeutics, Pharmacyclics/Janssen, Genentech, Inc./F. Hoffmann-La Roche Ltd, Epizyme, Genmab, Seattle Genetics, Foresight Diagnostics, Bristol-Myers Squibb/Celgene, Curio Science, AstraZeneca, MorphoSys Stock ownership: Foresight Diagnostics, N Power Research funding: Acerta Pharma, Janssen Oncology, Gilead Sciences, Celgene, TG Therapeutics, Genentech, Inc./F. Hoffmann-La Roche Ltd, Pharmacyclics, AbbVie, Millennium, Alimera Sciences, Xencor, 4D Pharma, Adaptimmune, Amgen, Bayer, Cellectis, EMD Serono, Guardant Health, Iovance Biotherapeutics, Kite/Gilead, MorphoSys, Nektar, Novartis, Pfizer, Sanofi, Takeda, ZIOPHARM Oncology H. Tilly Consultant or advisory role: F. Hoffmann-La Roche Ltd, Incyte, Celgene/Bristol-Myers Squibb Honoraria: Bristol-Myers Squibb, F. Hoffmann-La Roche Ltd Research funding: F. Hoffmann-La Roche Ltd/Genentech, Inc. Educational grants: F. Hoffmann-La Roche Ltd, Janssen J. P. Sharman Consultant or advisory role: TG Therapeutics, Genentech, Inc., AbbVie, Acerta Pharma/AstraZeneca, BeiGene, Bristol-Myers Squibb, Merck Research funding: Pharmacyclics, Genentech, Inc., Celgene, Acerta Pharma, Gilead Sciences, Seattle Genetics, TG Therapeutics, Merck, Takeda S. Balasubramanian Employment or leadership position: F. Hoffmann-La Roche Ltd/Genentech, Inc. Stock ownership: AbbVie V. Raghavan Employment or leadership position: F. Hoffmann-La Roche Ltd J. Hirata Employment or leadership position: Genentech, Inc. Stock ownership: F. Hoffmann-La Roche Ltd C. Lee Employment or leadership position: F. Hoffmann-La Roche Ltd Stock ownership: F. Hoffmann-La Roche Ltd Y. Jiang Employment or leadership position: F. Hoffmann-La Roche Ltd/Genentech, Inc. Stock ownership: F. Hoffmann-La Roche Ltd/Genentech, Inc. F. Morschhauser Consultant or advisory role: F. Hoffmann-La Roche Ltd/Genentech, Inc., Gilead Sciences, Celgene, Bristol-Myers Squibb, AbbVie, Epizyme, Servier, AstraZeneca, Novartis, Genmab Honoraria: F. Hoffmann-La Roche Ltd/Genentech, Inc., Chugai, Eisai Other remuneration: F. Hoffmann-La Roche Ltd/Genentech, Inc. (Expert Testimony)

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.019
Threshold uncertainty score0.565

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.019
GPT teacher head0.311
Teacher spread0.292 · 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".

Quick stats

Citations1
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueHematological OncologySame topicCancer Genomics and DiagnosticsFrench-language works237,207