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Record W2624535566 · doi:10.1002/hon.2437_81

THE 23‐GENE GENE EXPRESSION‐BASED ASSAY DOES NOT PREDICT INTERIM PET SCAN RESULTS AFTER ABVD IN ADVANCED STAGE CLASSICAL HODGKIN LYMPHOMA IN THE US INTERGROUP S0816 TRIAL

2017· article· en· W2624535566 on OpenAlexaff
David W. Scott, H. Li, Yasmin Harvey, Fong Chun Chan, Anja Mottok, M. Boyle, Andrew M. Evens, Heiko Schöder, David J. Straus, Nancy L. Bartlett, John Sweetenham, Paul M. Barr, Michelle A. Fanale, Eric D. Hsi, James R. Cook, Brad S. Kahl, John P. Leonard, Jonathan W. Friedberg, Michael LeBlanc, Christian Steidl, Randy D. Gascoyne, Lisa M. Rimsza, Oliver W. Press

Bibliographic record

VenueHematological Oncology · 2017
Typearticle
Languageen
FieldMedicine
TopicLymphoma Diagnosis and Treatment
Canadian institutionsBC Cancer Agency
Fundersnot available
KeywordsABVDMedicineOncologyClinical endpointLymphomaInternal medicineContext (archaeology)Stage (stratigraphy)Interim analysisDacarbazineSurrogate endpointClinical trialNuclear medicineChemotherapyBiologyCyclophosphamide

Abstract

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Introduction: Recently, we described a 23-gene gene expression-based biomarker that was prognostic for overall survival (OS) in patients (pts) with locally extensive and advanced stage classical Hodgkin lymphoma treated with ABVD chemotherapy (Scott et al. J Clin Oncol2013). The observation that the results of PET scan after 2 cycles (PET2) of ABVD is highly prognostic of progression free survival (PFS) has led to the design of response-adapted trials, where pts with a positive PET2 receive more intensive regimens aiming to improve outcomes. The purpose of this study was to test whether the 23-gene assay could predict PET2 results, allowing rational selective escalation of treatment from the time of diagnosis. The US Intergroup S0816 trial was a response-adapted trial in advanced stage (III and IV) classical Hodgkin lymphoma, with escalation to escBEACOPP where the PET2 was Deauville 4 or 5 (Press et al. J Clin Oncol 2016). Methods: The 23-gene assay was applied to RNA extracted from the formalin-fixed paraffin-embedded (FFPE) diagnostic biopsies of 276 pts from the S0816 trial. Patients were categorized into low- and high-risk groups using previously described assay thresholds. The primary endpoint was the comparison of the proportion of PET2 positive pts in the two risk groups. The secondary endpoint explored whether the risk groups were predictive of PFS in the context of response-adapted treatment. Results: Adequate gene expression was obtained in 217/276 (79%) biopsies – 119/164 (73%) from archival slides and 98/112 (88%) FFPE blocks. The patient characteristics of the 217 pts were not significantly different from the remainder of the total trial population of 336 pts. 142 (65%) pts were assigned to the low- and 75 (35%) to the high-risk gene expression group. 38 (18%) pts had a positive PET2. The assay did not identify pts at greater risk of PET2 positivity with 21% and 11% of pts having a positive PET2 in the low- and high-risk group, respectively. To test whether this was the result of a suboptimal threshold, we examined the area under the curve (AUC) of the receiver operator characteristic curve. The AUC of 0.41 (95% CI 0.31 – 0.51) demonstrates that the assay is not predictive of PET2 positivity. Furthermore, the assay was not predictive of PFS, with a 2-year PFS of 80% and 84% in the low- and high-risk groups, respectively (log rank P = 0.65). There were not sufficient events to test the prognostic power of the assay for OS. Conclusions: The 23-gene assay, trained on the endpoint of OS, was not predictive of PET2 results. Furthermore, it was not predictive of PFS in this trial of response-adapted treatment. These results provide strong evidence that this assay should not be used for risk stratification where response-adapted therapy is utilized. Support: National Cancer Institute (NCI), National Clinical Trials Network (NCTN) grants CA180888, CA180819, CA180821, and CA180820; Lymphoma Research Foundation. Keywords: classical Hodgkin lymphoma (cHL); gene expression profile (GEP); positron emission tomography (PET).

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)0.002
metaresearch head score (Gemma)0.002
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 score0.464
Threshold uncertainty score0.699

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.037
GPT teacher head0.347
Teacher spread0.310 · 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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Citations10
Published2017
Admission routes1
Has abstractyes

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