← BioTransfer GEO Dataset Finder
GEO series

Dynamic Ultrasound Molecular Targeted Imaging of Senescencein Evaluation of Lapatinib Resistance in HER2 Positive Breast Cancer

GSE237413 Homo sapiens Expression profiling by high throughput sequencing 9 samples Submitted 2024/07/14 Platform GPL24676
Summary
Prolonged treatment of HER2+ breast cancer cells with lapatinib (LAP) causes cellular senescence and acquired drug resistance, which often associating with poor prognosis for patients. We aim to explore the correlation between cellular senescence and LAP resistance in HER2+ breast cancer, screening for molecular marker of reversible senescence, and construct targeted nanobubbles for ultrasound molecular imaging and dynamically evaluate LAP resistance. In this study, we established a new cellular model of reversible cellular senescence using LAP and HER2+ breast cancer cells and found that reversible senescence contributed to LAP resistance in HER2+ breast cancer. Then we identified ecto-5'-nucleotidase (NT5E) as a marker of reversible senescence in HER2+ breast cancer. Based on this, we constructed NT5E targeted nanobubbles (NT5E-FITC-NBs) as a new molecular imaging modality which could both target reversible senescent cells and be used for ultrasound imaging. NT5E-FITC-NBs showed excellent physical and imaging characteristics. As an ultrasound contrast agent, NT5E-FITC-NBs could accurately identify reversible senescent cells both in vitro and in vivo. Our data demonstrate that cellular senescence-based ultrasound targeted imaging can identify reversible senescence and evaluate LAP resistance effectively in HER2+ breast cancer, which has the potential to improve cancer outcomes by altering treatment strategies ahead of aggressive recurrences.
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE237413_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 9 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA994914 and SRA study SRP449619. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Sort into groups and it will be fetched from NCBI.

+ 9 more — browse all 9 samples with per-sample file links →

Similar datasets

Search all human RNA-seq datasets in GEO →

Share this dataset

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.