Evidence map›Paper›PMID 39843429›Full record

ArticleNature communications2025

Real-world clinical multi-omics analyses reveal bifurcation of ER-independent and ER-dependent drug resistance to CDK4/6 inhibitors.

Zhengyan Kan, Ji Wen, Vinicius Bonato, Jennifer Webster, Wenjing Yang, Vladimir Ivanov, Kimberly Hyunjung Kim, Whijae Roh, Chaoting Liu, Xinmeng Jasmine Mu and 5 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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  10. Targeting tumor transition windows.Exploration of targeted anti-tumor therapy · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Zhengyan KanOncology Research & Development, Pfizer Inc., San Diego, CA, USA. zhengyan.kan@pfizer.com.ORCID http://orcid.org/0000-0003-4280-0850
Ji WenOncology Research & Development, Pfizer Inc., San Diego, CA, USA.ORCID http://orcid.org/0000-0002-3327-5591
Vinicius BonatoBiostatistics, Pfizer Inc., San Diego, CA, USA.
Jennifer WebsterReal World Evidence, Pfizer Inc., New York, NY, USA.
Wenjing YangOncology Research & Development, Pfizer Inc., San Diego, CA, USA.
Vladimir IvanovGlobal Biometrics & Data Management, Pfizer Inc., Cambridge, MA, USA.
Kimberly Hyunjung KimOncology Research & Development, Pfizer Inc., San Diego, CA, USA.
Whijae RohOncology Research & Development, Pfizer Inc., San Diego, CA, USA.ORCID http://orcid.org/0000-0002-7395-9939
Chaoting LiuOncology Research & Development, Pfizer Inc., San Diego, CA, USA.
Xinmeng Jasmine MuOncology Research & Development, Pfizer Inc., San Diego, CA, USA.
Jennifer Lapira-MillerOncology Research & Development, Pfizer Inc., San Diego, CA, USA.
Jon OyerOncology Research & Development, Pfizer Inc., San Diego, CA, USA.
Todd VanArsdaleOncology Research & Development, Pfizer Inc., San Diego, CA, USA.
Paul A RejtoOncology Research & Development, Pfizer Inc., San Diego, CA, USA.
Jadwiga BienkowskaOncology Research & Development, Pfizer Inc., San Diego, CA, USA. Jadwiga.R.Bienkowska@pfizer.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To better understand drug resistance mechanisms to CDK4/6 inhibitors and inform precision medicine, we analyze real-world multi-omics data from 400 HR+/HER2- metastatic breast cancer patients treated with CDK4/6 inhibitors plus endocrine therapies, including 200 pre-treatment and 227 post-progression samples. The prevalences of ESR1 and RB1 alterations significantly increase in post-progression samples. Integrative clustering analysis identifies three subgroups harboring different resistance mechanisms: ER driven, ER co-driven and ER independent. The ER independent subgroup, growing from 5% pre-treatment to 21% post-progression, is characterized by down-regulated estrogen signaling and enrichment of resistance markers including TP53 mutations, CCNE1 over-expression and Her2/Basal subtypes. Trajectory inference analyses identify a pseudotime variable strongly correlated with ER independence and disease progression; and revealed bifurcated evolutionary trajectories for ER-independent vs. ER-dependent drug resistance mechanisms. Machine learning models predict therapeutic dependency on ESR1 and CDK4 among ER-dependent tumors and CDK2 dependency among ER-independent tumors, confirmed by experimental validation.

Indexed as

Breast NeoplasmsCyclin-Dependent Kinase 4Cyclin-Dependent Kinase 6Drug Resistance, NeoplasmEstrogen Receptor alphaProtein Kinase InhibitorsReceptors, EstrogenCyclin-Dependent Kinase 2Cyclin EErb-b2 Receptor Tyrosine KinasesFemaleGene Expression Regulation, NeoplasticHumansMachine LearningMultiomicsMutationCCNE1 protein, humanCDK2 protein, humanCDK4 protein, humanCDK6 protein, humanCyclin-Dependent Kinase 2Cyclin-Dependent Kinase 4Cyclin-Dependent Kinase 6Cyclin EERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesESR1 protein, humanEstrogen Receptor alphaOncogene ProteinsProtein Kinase InhibitorsRB1 protein, humanReceptors, EstrogenRetinoblastoma Binding ProteinsTP53 protein, humanTumor Suppressor Protein p53Ubiquitin-Protein Ligases

Identifiers

PMID39843429
PMCPMC11754447

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.