EXPLORATORY BIOMARKER ANALYSIS IN THE PH 3 ECHELON‐1 STUDY: WORSE OUTCOME WITH ABVD IN PATIENTS WITH ELEVATED BASELINE LEVELS OF SCD30 AND TARC
Bibliographic record
Abstract
Introduction: Soluble (s)CD30 and thymus and activation-regulated chemokine (TARC) are established prognostic biomarkers in Hodgkin lymphoma (HL): higher baseline serum levels are associated with poorer survival outcomes. Elevated sCD30 and TARC levels are also associated with established poor prognostic factors in HL, e.g. Stage IV disease, higher International Prognostic Score (IPS), and extranodal involvement (ENI). The phase 3 ECHELON-1 study compared frontline brentuximab vedotin (a CD30-directed antibody-drug conjugate) plus doxorubicin, vinblastine, and dacarbazine (A+AVD) vs ABVD in patients (pts) with advanced classical HL (cHL). A+AVD demonstrated superior modified progression-free survival (modified PFS) vs ABVD (HR = 0.77 [95% CI 0.60–0.98]; p = 0.035; 2-yr mPFS 82.1% vs 77.2%. An exploratory ad-hoc biomarker analysis evaluated mPFS according to baseline sCD30 and TARC levels. Methods: Serum samples were collected from 1334 pts with Stage III (36%) or IV (64%) cHL during the screening period and analyzed using validated assays for sCD30 (Covance Labs) and TARC (ICON Labs). mPFS (defined as time to progression, death, or evidence of noncomplete response followed by subsequent anticancer therapy) per independent review facility (IRF) was analyzed according to baseline sCD30 and TARC levels; the association of biomarker levels with treatment outcomes along with other potential predictive factors was explored in a multivariate Cox model. Results: For the ad-hoc sCD30 analysis, pts were dichotomized around the median sCD30 baseline level (207.9 ng/mL). Pts in the A+AVD arm performed similarly regardless of baseline sCD30 level, with a 2-yr mPFS of 80.7% (sCD30 >median) and 82.7% (sCD30 ≤median). However, a decrease in effectiveness of ABVD was observed in pts with sCD30 >median with a 2-yr mPFS of 68.9% [sCD30 >median] and 85.7% [sCD30 ≤median]). A mPFS benefit in favor of A+AVD vs ABVD was observed in pts with sCD30 >median (HR (95% CI) = 0.600 (0.428-0.841)) . Multivariate Cox analysis with the interaction between treatment group and sCD30 level showed an increased risk of experiencing an mPFS event with ABVD and sCD30 >median (interaction p = 0.025) when adjusted by other prognostic factors (Ann Arbor stage, IPS and ENI). Similar trends were observed with the exploratory ad-hoc TARC analysis. No new safety signals were reported in subgroups with elevated sCD30 or TARC levels. Conclusions: Preliminary adhoc analysis indicates that ABVD treated patients do not perform as well with elevated baseline sCD30 and TARC levels. A+AVD treated patients perform well regardless of levels of these poor prognostic markers. Prospective studies need to be conducted in order to further validate these findings. If validated, these biomarkers may help identify patient populations that could benefit from more effectively targeted therapy. Keywords: ABVD; brentuximab vedotin; classical Hodgkin lymphoma (cHL). Disclosures: Radford, J: Consultant Advisory Role: Millennium Pharmaceuticals Inc, ADC Therapeutics, BMS, Novartis; Stock Ownership: GSK, AstraZeneca (spouse); Honoraria: Millennium Pharmaceuticals Inc, Seattle Genetics, Novartis, BMS; Research Funding: Millennium Pharmaceuticals, Inc., a wholly owned subsidiary of Takeda Pharmaceutical Company Limited. Connors, J: Consultant Advisory Role: Seattle Genetics, Millennium Pharmaceuticals Inc; Honoraria: Seattle Genetics, Millennium Pharmaceuticals Inc; Research Funding: Seattle Genetics. Younes, A: Consultant Advisory Role: BMS, Incyte, Janssen, Genentech, Merck; Honoraria: Genentech, Merck, Millennium Pharmaceuticals Inc, Incyte, BMS, AbbVie; Research Funding: Novartis, J&J, Curis, Roche, BMS. Ansell, S: Research Funding: BMS, Seattle Genetics, Trillium, Affimed, Pfizer, LAM Therapeutics, Millennium Pharmaceuticals, Inc., a wholly owned subsidiary of Takeda Pharmaceutical Company Limited. Kim, W: Research Funding: Roche, Millennium Pharmaceuticals, Inc., a wholly owned subsidiary of Takeda Pharmaceutical Company Limited, J&J, Mundupharma, Kyowa-kirin, Celltrion, DongaN. Flinn, I: Consultant Advisory Role: Abbvie, Seattle Genetics, TG Therapeutics, Verastem; Research Funding: Abbvie, Acerta Pharma, Agios, ArQule, AstraZeneca, BeiGene, Calithera Biosciences, Celgene, Constellation Pharmaceuticals, Curis, FORMA Therapeutics, Forty Seven, Genentech, Gilead Sciences, Incyte, Infinity Pharmaceuticals, Janssen, Juno Therapeutics, Karyopharm Therapeutics, Kite Pharma, Merck, MorphoSys AG, Novartis, Pfizer, Pharmacyclics, Portola Pharmaceuticals, Roche, Millennium Pharmaceuticals, Inc., a wholly owned subsidiary of Takeda Pharmaceutical Company Limited, Teva, TG Therapeutics, Trillium Therapeutics, Unum Therapeutics, Verastem. Pettengell, R: Consultant Advisory Role: CTI Life Sciences Ltd, Immune Design, Pfizer, Roche Ltd, Servier, Millennium Pharmaceuticals Inc, TEVA; Honoraria: CTI Life Sciences Ltd, Immune Design, Pfizer, Roche Ltd, Servier, Millennium Pharmaceuticals Inc, TEVA. Onsum, M: Employment Leadership Position: Seattle Genetics; Stock Ownership: Seattle Genetics. Josephson, N: Employment Leadership Position: Seattle Genetics, Inc.; Stock Ownership: Seattle Genetics, Inc.. Kuroda, S: Employment Leadership Position: Takeda Pharmaceutical Company Limited. Liu, R: Employment Leadership Position: Millennium Pharmaceuticals, Inc., a wholly owned subsidiary of Takeda Pharmaceutical Company Limited. Miao, H: Employment Leadership Position: Millennium Pharmaceuticals, Inc., a wholly owned subsidiary of Takeda Pharmaceutical Company Limited. Gautam, A: Employment Leadership Position: Millennium Pharmaceuticals, Inc., a wholly owned subsidiary of Takeda Pharmaceutical Company Limited; Stock Ownership: Takeda Pharmaceutical Company Limited. Trepicchio, W: Employment Leadership Position: Millennium Pharmaceuticals, Inc., a wholly owned subsidiary of Takeda Pharmaceutical Company Limited. Sureda, A: Consultant Advisory Role: Millennium Pharmaceuticals Inc, BMS, Gilead, Novartis; Honoraria: Millennium Pharmaceuticals Inc, BMS, MSD, Gilead, Novartis, Jannssen, Celgene, Sanofi, Roche.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".