MétaCan
Menu
Back to cohort

Abstract CT026: A first-in-human phase 1 study of LY3410738, a covalent inhibitor of mutant IDH, in advanced myeloid malignancies

2023· article· en· W4365514035 on OpenAlexaff
Courtney D. DiNardo, Pau Montesinos, Lina Benajiba, Ana Triguero, Christian Récher, Andre C. Schuh, Maël Heiblig, Ashish Bajel, Arnaud Pigneux, Juan M. Alonso-Domiguez, Amir T. Fathi, Carolyn Grove, Hsin‐An Hou, Michael Heuser, Sarit Assouline, Shaun Fleming, Dong‐Yeop Shin, Kendra Sweet, Olatoyosi Odenike, Jessica K. Altman, Melissa Ooi, Norbert Vey, Joshua F. Zeidner, Amandeep Salhotra, Eunice S. Wang, Gary J. Schiller, Kimmo Porkka, Tsila Zuckerman, Violaine Havelange, Brian A. Jonas, Sujaatha Narayanan, Jun Ho Jang, Je‐Hwan Lee, Anna M. Szpurka, Dana Heirich, Hsiao Rong Chen, Violet R. Hanft, Junjie Zhao, Ivelina Gueorguieva, Yin Zhang, Eytan M. Stein

Bibliographic record

VenueCancer Research · 2023
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsBC Cancer AgencyJewish General HospitalPrincess Margaret Cancer Centre
Fundersnot available
KeywordsMedicineAdverse effectInternal medicineGastroenterologyIDH1PharmacologyMyeloidOncologyMutantChemistry

Abstract

fetched live from OpenAlex

Abstract Background: LY3410738 is a potent, selective, covalent, dual inhibitor of IDH1/2 mutations (IDH1/2m). LY3410738 binds covalently at a novel binding site, enabling continued potency in preclinical models in the setting of second site IDH resistance mutations. We present initial results from the first-in-human phase 1 dose escalation study of oral LY3410738 in patients (pts) with R/R IDH1/2m hematologic cancers. Methods: Dose escalation (3+3 design) evaluated LY3410738 monotherapy in IDH1/2m R/R AML (NCT04603001). Key objectives included determining the RP2D, safety, PK, PD (inhibition of plasma D-2-HG), and preliminary antitumor activity. Results: As of 28 July 2022, 114 pts including 108 R/R AML pts received LY3410738 dosed at 5-600 mg QD or 40-300 mg BID. Pts were median 73 years of age (range, 22-92) with a median of 2 prior therapies (range, 1-10); 29% received a prior IDH inhibitor and 58% a prior BCL2 inhibitor. Median time on treatment was 2.3 months (range, 0.1-15). No DLTs or treatment related deaths were observed. Treatment emergent adverse events ≥20% were diarrhea (22%), fatigue (21%), and anemia (20%). Differentiation syndrome was reported in 11 pts (10%); 4 grade 1/2 (4%), 7 grade 3 (6%). LY3410738 exposure was dose proportional. In pts with IDH1m cancers, LY3410738 achieved sustained D-2-HG inhibition at all dose levels including in pts who received prior IDH1 inhibitor. In pts with IDH2m cancers, a higher dose (≥150 mg daily dose) was required for D-2-HG inhibition. Responses were observed in both IDH1m and IDH2m AML (Table). Higher doses were required for IDH2m AML, especially IDH2 R140m pts. Efficacy appears higher in venetoclax naïve pts and limited in IDH inhibitor pre-treated pts. Conclusions: LY3410738 demonstrated a favorable safety profile with potent and sustained D-2-HG inhibition in pts with IDH1m R132, IDH2m R172, and IDH2m R140 mutations. Preliminary efficacy was also seen in all genotypes, in a dose dependent manner. RP2D evaluation is ongoing. Table: Response in R/R AML IDH Inhibitor Naive (N=68) IDH1 R132 IDH2 R172 IDH2 R140 No prior Venetoclax (n=13) Prior Venetoclax (n=19) Total (N=32) Low Dosesa (n=5) (High Dosesb) Total (N=13) Low Dosesa (n=9) (High Dosesb) Total (N=23) No prior Venetoclax (n=3) Prior Venetoclax (n=5) No prior Venetoclax (n=6) Prior Venetoclax (n=8) CR+CRh, n (%) 5 (38%) 2 (11%) 7 (22%) - 3 (100%) 2 (40%) 5 (38%) - 2 (33%) - 2 (9%) CR, n (%) 3 (23%) 2 (11%) 5 (16%) - 2 (67%) 2 (40%) 4 (31%) - 2 (33%) - 2 (9%) CRh, n (%) 2 (15%) - 2 (6%) - 1 (33%) - 1 (8%) - - - - CRc (CR+CRh+CRi/CRp), n (%) 6 (46%) 6 (32%) 12 (38%) - 3 (100%) 3 (60%) 6 (46%) - 2 (33%) - 2 (9%) MFLS, n (%) 1 (8%) 3 (16%) 4 (13%) 2 (40%) - - 2 (15%) 1 (11%) - - 1 (4%) IDH Inhibitor Pre-Treated (N=33) IDH1 R132 IDH2 R172 IDH2 R140 No prior Venetoclax (n=2) Prior Venetoclax (n=8) Total (N=10) Low Dosesa (n=6) (High Dosesb) Total (N=8) Low Dosesa (n=4) (High Dosesb) Total (N=15) No prior Venetoclax (n=1) Prior Venetoclax (n=1) No prior Venetoclax (n=3) Prior Venetoclax (n=8) CR+CRh, n (%) - - - - - - - - - 1 (13%) 1 (7%) CR, n (%) - - - - - - - - - - - CRh, n (%) - - - - - - - - - 1 (13%) 1 (7%) CRc (CR+CRh+CRi/CRp), n (%) - - - - - - - 1 (25%) - 1 (13%) 1 (7%) MLFS, n (%) - - - - - - - - - - - Among the 108 treated R/R AML pts, 101 were efficacy evaluable (42 IDH1 R132, 21 IDH2 R172, 38 IDH2 R140); 68 pts were IDH inhibitor naïve and 33 had received a prior IDH inhibitor treatment. Efficacy evaluable pts are those who had completed the first bone marrow assessment or had discontinued treatment prior to first bone marrow assessment aTotal daily low doses: ≤75 mg Arm A, ≤30 mg Arm B bTotal daily high doses: ≥150 mg Arm A, ≥60 mg Arm B Arm A: not requiring a strong CYP3A4 inhibitor Arm B: requiring a strong CYP3A4 inhibitor Citation Format: Courtney D. DiNardo, Pau Montesinos, Lina Benajiba, Ana Triguero, Christian Recher, Andre C. Schuh, Maël Heiblig, Ashish Bajel, Arnaud Pigneux, Juan M. Alonso-Domiguez, Amir T. Fathi, Carolyn Grove, Hsin-An Hou, Michael Heuser, Sarit Assouline, Shaun Fleming, Dong-Yeop Shin, Kendra Sweet, Olatoyosi Odenike, Jessica Altman, Melissa Gaik Ming Ooi, Lao Zhentang, Nobert Vey, Joshua Zeidner, Amandeep Salhotra, Eunice Wang, Gary Schiller, Kimmo Porkka, Tsila Zuckerman, Violaine Havelange, Brian A. Jonas, Sujaatha Narayanan, Jun Ho Jang, Je-Hwan Lee, Anna M. Szpurka, Dana Heirich, Hsiao Rong Chen, Violet Hanft, Junjie Zhao, Ivelina Gueorguieva, Yin Zhang, Eytan M. Stein. A first-in-human phase 1 study of LY3410738, a covalent inhibitor of mutant IDH, in advanced myeloid malignancies [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 2 (Clinical Trials and Late-Breaking Research); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(8_Suppl):Abstract nr CT026.

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 score0.005
Threshold uncertainty score0.017

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 communication0.0010.001
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.001

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 head0.092
GPT teacher head0.449
Teacher spread0.358 · 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".

Quick stats

Citations3
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueCancer ResearchSame topicAcute Myeloid Leukemia ResearchFrench-language works237,207