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CDK7 inhibition suppresses Hippo-YAP signaling to reverse CDK4/6 inhibitor resistance in hormone receptor-positive breast cancer

GSE335516 Homo sapiens (human) RNA-seq (gene expression) 18 samples Submitted 2026/06/20 Platform GPL24676Platform GPL30173
At a glance

RNA-seq (gene expression) · human · 18 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Homo sapiens (human)
Topic
Breast cancerThis series is part of our curated briefing on it.
Samples
18 samples: 9 conditions, mostly in duplicateGroups are read from the sample names, not from the paper. Check the list below.
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Summary (written by the submitters)
Hormone receptor-positive (HR+) breast cancer is the most prevalent breast cancer subtype, and cyclin-dependent kinase 4/6 inhibitors (CDK4/6i) are the mainstay of treatment for metastatic disease. Amplification or overexpression of CDK6 is an established driver of CDK4/6i resistance, for which no targeted strategy exists. Through a kinase-inhibitor screen for compounds that suppress CDK6, we identified PIK-75 as an agent that downregulates CDK6 and reverses CDK4/6i resistance in HR+ breast cancer.
Read the full summary ↓
We found that PIK-75 acts as an inhibitor of CDK7, abolishing phosphorylation of serine 5 on the RNA polymerase II (Pol II) carboxy-terminal domain. The structurally distinct CDK7 inhibitor THZ1 and shRNA-mediated CDK7 depletion both phenocopied the suppression of yes-associated protein (YAP) and CDK6, establishing the effect as CDK7-dependent. Chromatin immunoprecipitation demonstrated that CDK7 inhibition reduced Pol II-serine 5 occupancy at the YAP1 promoter, downregulating YAP1 transcription and YAP-TEAD output. Genome-wide, PIK-75 induced promoter-proximal Pol II pausing that was more pronounced at oncogenic-pathway genes, and transcriptomic and proteomic profiling confirmed a bona fide CDK7-inhibition signature, accompanied by widespread intron retention, rather than a phosphoinositide 3-kinase-dominated response. In CDK6-overexpressing xenografts, PIK-75 combined with abemaciclib reversed resistance and suppressed YAP and CDK6 in vivo. These findings define a transcriptional axis linking CDK7 and Pol II-serine 5 phosphorylation to Hippo-YAP signaling and CDK6, and establish CDK7 inhibition as a rational strategy for CDK4/6i-resistant HR+ breast cancer, supporting evaluation of clinical-stage CDK7 inhibitors in combination with continued CDK4/6 inhibition.
This dataset
Open GSE335516 in finder → Find more human RNA-seq datasets → Breast cancer landscape →
Download · which file do I need?

Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

Series matrix ↓
2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE335516_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

Raw reads on ENA ↗

What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA1435545 and SRA study SRP683883. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
9 conditions, mostly in duplicate
T47D knowdown vecter repeat ×2 T47D knowdown CDK7 repeat ×2 MCF7 with CDK6 overexpression treated with DM… ×2 MCF7 with CDK6 overexpression treated with PI… ×2 T47D with CDK6 overexpression treated with DM… ×2 T47D with CDK6 overexpression treated with PI… ×2 T47D treated with DMSO repeat ×2 T47D treated with PIK75 repeat ×2 +1 more

Supports a between-group comparison across 18 samples.

How we read this: 9 replicated groups read from 18 sample titles; they account for 18 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study
More Breast cancer datasets

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Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.