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Record W2898199426 · doi:10.1093/annonc/mdy299.002

Initial results of phase I study of DCC-2618, a broad-spectrum KIT and PDGFRa inhibitor, in patients (pts) with gastrointestinal stromal tumor (GIST) by number of prior regimens

2018· article· en· W2898199426 on OpenAlexaff
Suzanne George, Michael C. Heinrich, Ping Chi, A.R. Abdul Razak, Margaret von Mehren, Michael S. Gordon, Kristen N. Ganjoo, Neeta Somaiah, Jonathan C. Trent, Jennifer Moriatis Wolf, Rodrigo Ruiz‐Soto, O. Rosen, Filip Jankú

Bibliographic record

VenueAnnals of Oncology · 2018
Typearticle
Languageen
FieldMedicine
TopicGastrointestinal Tumor Research and Treatment
Canadian institutionsPrincess Margaret Cancer CentreUniversity Health Network
Fundersnot available
KeywordsGiSTMedicineTolerabilityPDGFRAInternal medicineOncologyResponse Evaluation Criteria in Solid TumorsPhases of clinical researchStromal tumorGastroenterologySurgeryAdverse effectStromal cellClinical trial

Abstract

fetched live from OpenAlex

Background: DCC-2618, a kinase switch control inhibitor, broadly inhibits mutations in KIT exons 9, 11, 13, 14, 17 and 18. Based on clinical activity observed in heavily pretreated GIST pts in a Phase 1 study, DCC-2618 is being evaluated in a Phase 3 study, INVICTUS (NCT03353753), in ≥ 4th line pts. Given the breadth of inhibition of KIT mutations and favorable tolerability profile, the Phase 1 study included expansion cohorts to assess clinical benefit in 2nd and 3rd line GIST pts in advance of the expected initiation of a second Phase 3 study in 2nd line GIST pts by the end of 2018. Methods: The Phase 1 study includes a dose-escalation component testing oral DCC-2618 dosed QD or BID in 28 day cycles and an expansion phase using the RP2D of 150 mg QDin 6 cohorts, including cohorts for GIST pts based on prior regimens (2nd/3rd, 4th/>4th). RECIST response assements based on local assessment of CT scans were performed every 2 cycles. Results: At the cut off of April 18, 150 GIST pts were enrolled at dose levels of ≥ 100 mg/d with KIT (141 pts) or PDGFRa- (8 pts) -driven GIST. One pt had SDH-deficient GIST. 114 GIST pts were treated at the 150 mg QD dose, including 19, 27, and 68 pts who previously received 1, 2 or ≥ 3 prior lines of therapy, respectively. For the 114 GIST pts, ORR was 14%, 3-month DCR was 70%, mPFS was 24 weeks with 56% of the pts censored. For the 46 evaluable pts in 2nd/3rd line, ORR was 22%, 3-month DCR was 81% and mPFS was 36 weeks with 61% of the pts censored. Updated ORR, DCR and mPFS will be presented. Grade 3/4 adverse effects (regardless of attribution, in > 1 pt) for all 114 pts treated at 150 mg QD included asymptomatic lipase increase 11, anemia 4, hypertension 3, blood bilirubin increased 3, diarrhea 2, abdominal pain 2, back pain 2, hypophosphatemia 2, hyponatremia 2, hyperkalemia 2. Conclusions: DCC-2618 demonstrated encouraging clinical benefit and a favorable tolerability profile in GIST pts treated in the 2nd line or later. Clinical benefit as measured by ORR, DCR and mPFS was greater in 2nd/3rd line pts compared to more heavily pretreated pts. Preliminary data from the Phase 1 expansion supports further testing in the planned Phase 3 study in 2nd line GIST. Clinical trial identification: NCT02571036. Legal entity responsible for the study: Deciphera Pharmaceuticals, Inc. Funding: Deciphera Pharmaceuticals, Inc. Disclosure: S. George, M. Heinrich, P. Chi, M. von Mehren, M. Gordon, N. Somaiah, F. Janku: Research sponsored: Deciphera Pharmaceuticals, Inc.; Scientific advisory board: Deciphera Pharmaceuticals, Inc. A. Razak, K.N. Ganjoo, J. Wolf, J. Rodon Ahnert: Research sponsored: Deciphera Pharmaceuticals, Inc. J.C. Trent: Scientific advisory board: Deciphera Pharmaceuticals, Inc. R. Ruiz-Soto, O. Rosen: Employee: Deciphera Pharmaceuticals, Inc.

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: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.044
GPT teacher head0.396
Teacher spread0.352 · 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 designNon-randomized trial
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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Citations22
Published2018
Admission routes1
Has abstractyes

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