Abstract A013: CDK2 and CDK4/6 inhibition in GIST: Mechanisms of response and resistance
Bibliographic record
Abstract
Abstract Advanced GIST is characterized by genomic perturbations of key cell cycle regulators. Oncogenic activation of CDK4/6 results in RB1 inactivation and cell cycle progression. Given that single-agent CDK4/6 inhibitor (CDK4/6i) therapy failed to show clinical activity in advanced GIST, we evaluated strategies for maximizing response to therapeutic CDK4/6 inhibition. Targeted next-generation sequencing and multiplexed protein imaging were used to detect cell cycle regulator aberrations in GIST clinical samples (N=18), including 8 metastatic TKI-resistant GISTs. Multiple metastases were analyzed in 3 patients. The impact of CDK2i (CDK2 inhibitor-II), CDK4/6i (palbociclib or abemaciclib), and CDK2/4/6i (PF-06873600) was determined through cell proliferation and protein detection assays in vitro and in vivo. Mechanisms of acquired CDK2i and CDK4/6i resistance were characterized in GIST cell lines after long-term exposure. The results demonstrate recurrent genomic aberrations in cell cycle regulators causing co-activation of the CDK2 and CDK4/6 pathways. Identical aberrations of p16, RB1, and TP53 were present in all metastases from 3 patients. We show that therapeutic co-targeting of CDK2 and CDK4/6 is synergistic in GIST cell lines with intact RB1, through inhibition of RB1 hyperphosphorylation and cell proliferation (P<0.01). Intact RB1 predicted response to treatment, whereas RB1-deficient models were resistant. Moreover, we identify RB1 inactivation and a novel oncogenic cyclin D1 resulting from an intragenic rearrangement (CCND1::chr11.g:70025223) as mechanisms of acquired CDK inhibitor resistance in GIST. The CCND1 rearrangement deleted the cyclin D1 C-terminal Thr286 and Thr288 residues which mediate cyclin D1 proteasomal degradation, resulting in overexpression of an abnormal cyclin D1. CDK inhibitor resistance properties were corroborated by lentiviral transduction of the CCND1 fusion gene into fusion-negative GIST, leiomyosarcoma, and breast cancer cells. These studies establish the biologic rationale for CDK2 and CDK4/6 co-inhibition as therapeutic strategy in patients with advanced GIST, including patients with metastatic GIST progressing on TKIs. In addition, these findings expand the spectrum of potential CDK inhibitor resistance mechanisms with translational potential for improving cell cycle targeted therapies in other cancer types. Citation Format: Inga-Marie Schaefer, Matthew L. Hemming, Meijun Z. Lundberg, Matthew P. Serrata, Isabel Goldaracena, Ninning Liu, Peng Yin, Joao A. Paulo, Steven P. Gygi, Suzanne George, Jeffrey A. Morgan, Monica M. Bertagnolli, Ewa T. Sicinska, Adrian Mariño-Enríquez, Jason L. Hornick, Chandrajit P. Raut, George D. Demetri, Wen-Bin Ou, Sinem K. Saka, Jonathan A. Fletcher. CDK2 and CDK4/6 inhibition in GIST: Mechanisms of response and resistance [abstract]. In: Proceedings of the AACR Special Conference: Sarcomas; 2022 May 9-12; Montreal, QC, Canada. Philadelphia (PA): AACR; Clin Cancer Res 2022;28(18_Suppl):Abstract nr A013.
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 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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".