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The KRAS G12C inhibitor MK-1084 for <i>KRAS</i> G12C–mutated advanced colorectal cancer (CRC): Results from KANDLELIT-001.

2025· article· en· W4410805169 on OpenAlexaff
Iwona Ługowska, Matteo Simonelli, Junli Xue, Adrian G. Sacher, Anastasios Stathis, Rafał Dziadziuszko, Joon Oh Park, Victor Moreno, Yu-Min Yeh, Mehmet Alı Nahıt Şendur, Yu‐Li Su, Christian Caglevic, Ruth Perets, Elizabeth Ahern, Abhijit Pal, Thomas Jemielita, L. Rhoda Molife, Yewon Choi, Carlos A. Rojas

Bibliographic record

VenueJournal of Clinical Oncology · 2025
Typearticle
Languageen
FieldMedicine
TopicColorectal Cancer Treatments and Studies
Canadian institutionsPrincess Margaret Cancer CentreUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsKRASMedicineColorectal cancerCancerCancer researchInternal medicine

Abstract

fetched live from OpenAlex

3508 Background: Preliminary data from the phase 1 KANDLELIT-001 trial (NCT05067283) showed a manageable safety profile and preliminary antitumor activity for MK-1084, a next-generation, selective KRAS G12C-GDP covalent inhibitor, in participants (pts) with previously treated, KRAS G12C-mutant solid tumors, including non–small-cell lung cancer and CRC. Here, we report data for MK-1084 monotherapy, MK-1084 + cetuximab, and MK-1084 + cetuximab + mFOLFOX6 in pts with advanced KRAS G12C-mutant CRC. Methods: KANDLELIT-001 enrolled pts with confirmed KRAS G12C mutation, RECIST-measurable disease, and ECOG PS 0-1. Pts with any advanced solid tumor and ≥1 prior systemic therapy received MK-1084 monotherapy PO QD or BID (total daily dose, 25-800 mg) in arms 1 and 3. Pts with advanced CRC and 1-2 prior systemic therapies received MK-1084 QD (total daily dose, 25-200 mg) plus cetuximab 500 mg/m 2 IV Q2W in arm 5. Pts with advanced CRC and 0-1 prior systemic therapies received MK-1084 QD (total daily dose, 25-100 mg) plus cetuximab 500 mg/m 2 Q2W and mFOLFOX6 in arm 6. The primary endpoints were dose-limiting toxicities (DLTs), AEs, and AEs leading to discontinuation. Secondary endpoints included ORR per RECIST v1.1 by investigator review. ORR was assessed in all pts who received their first MK-1084 dose ≥5 wk before the data cutoff date of August 12, 2024, for arms 1 and 3 and November 6, 2024, for arms 5 and 6. Results: In arms 1+3, 99 pts, including 53 (54%) with CRC, received MK-1084 alone. In arm 5, 34 pts, including 23 (68%) who had ≥2 prior lines of therapy, received MK-1084 + cetuximab. In arm 6, 20 pts, including 10 (50%) who had no prior therapy, received MK-1084 + cetuximab + mFOLFOX6. Median (range) study follow-up was 14.8 mo (0.2-30.8) in arms 1+3, 5.3 mo (2.6-11.5) in arm 5, and 1.9 mo (0.1-5.4) in arm 6. One pt in arm 6 experienced a DLT (grade 3 febrile neutropenia); there were no DLTs in arms 1, 3, or 5. Treatment-related AEs occurred in 62% of pts in arms 1+3, 97% of pts in arm 5, and 90% of pts in arm 6, were grade ≥3 in 9%, 18%, and 25%, respectively, and led to discontinuation of any drug in 1%, 3%, and 15%, respectively. There were no treatment-related deaths. The two most common treatment-related AEs in each arm were increased AST (17%) and nausea (17%) in arms 1+3, dermatitis acneiform (47%) and rash (24%) in arm 5, and nausea (55%) and rash (50%) in arm 6. ORR (95% CI) was 36% (23-50) in pts with CRC in arms 1+3 (n = 53), 50% (32-68) in arm 5 (n = 34), and 14% (2-43) in arm 6 (n = 14); all responses were partial responses. Conclusions: Preliminary data suggest that MK-1084 monotherapy, MK-1084 + cetuximab, and MK-1084 + cetuximab + mFOLFOX6 have manageable safety profiles and show evidence of antitumor activity in pts with advanced, KRAS G12C-mutated CRC. Pts continue to be followed, and enrollment continues. Clinical trial information: NCT05067283 .

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 score0.011

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 studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.066
GPT teacher head0.471
Teacher spread0.405 · 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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Citations8
Published2025
Admission routes1
Has abstractyes

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