Evidence map›Paper›PMID 39945650›Full record

ArticleCancer research2025

Profiling the Activity of the Potent and Highly Selective CDK2 Inhibitor BLU-222 Reveals Determinants of Response in CCNE1-Aberrant Ovarian and Endometrial Tumors.

Nealia C House, Victoria E Brown, Maxine Chen, Liang Yuan, Sydney L Moore, Jian Guo, Yoon Jong Choi, Lakshmi Muthuswamy, Scott Ribich, Philip Ramsden and 1 more

Abstract read
In one paragraph

Article in Cancer research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

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  8. Precision targeting ofTranslational cancer research · 2026
    Article
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  10. Frontiers in cell and developmental biology · 2026
    Article
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  18. Genomic instability andFrontiers in oncology · 2025
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Funding

Blueprint Medicines
6 · The paper itself

Abstract

BLU-222 is an investigational, potent, highly selective, orally bioavailable cyclin-dependent kinase 2 (CDK2) inhibitor in clinical development. BLU-222 demonstrated robust antitumor activity in select CCNE1-high ovarian and endometrial cancer models. We used a combination of CRISPR whole-genome screens coupled with targeted genetic and pharmacologic approaches in ovarian and endometrial cell lines to identify biological determinants to predict BLU-222 monotherapy activity. Rb and p16 expression were biomarkers that enriched for CDK2-dependency/BLU-222 sensitivity in CCNE1-overexpressed, nonamplified cells. Furthermore, intact Rb and low p16 expression predicted a BLU-222 and CDK4/6 inhibitor combination response. BLU-222 demonstrated robust activity in combination with carboplatin or paclitaxel in CCNE1-aberrant models, rendering chemotherapy-resistant tumors strongly sensitive to the combination. These findings demonstrate that response to CDK2 inhibition by BLU-222 can be further predicted using a combinatorial biomarker signature that could refine patient selection criteria in CCNE1-high patients and support clinical development. Significance: The identification of biomarkers of response to the CDK2-selective inhibitor BLU-222 and effective combinations with CDK4/6 inhibitors or chemotherapy could enable precision medicine strategies for CDK2 inhibition in ovarian and endometrial cancer. See related article by Dommer and colleagues, p. 1310.

Indexed as

Cyclin-Dependent Kinase 2Cyclin EEndometrial NeoplasmsOncogene ProteinsOvarian NeoplasmsProtein Kinase InhibitorsAnimalsBiomarkers, TumorCarboplatinCell Line, TumorFemaleHumansMicePaclitaxelXenograft Model Antitumor AssaysBiomarkers, TumorCarboplatinCCNE1 protein, humanCDK2 protein, humanCyclin-Dependent Kinase 2Cyclin EOncogene ProteinsPaclitaxelProtein Kinase Inhibitors

Identifiers

PMID39945650
PMCPMC11967718

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.