Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Molecular features of luminal breast cancer defined through spatial and single‐cell transcriptomics

1 Jan 2024

Abstract excerpt

Abstract Background Intratumour heterogeneity is a hallmark of most solid tumours, including breast cancers. We applied spatial transcriptomics and single‐cell RNA‐sequencing on patient‐derived xenografts (PDXs) to profile spatially resolved cell populations within oestrogen receptor‐positive (ER+) breast cancer and to elucidate their importance in oestrogen‐dependent tumour growth. Methods Two PDXs of ‘ER‐high’...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Breast Cancer Treatment Studies
Share to Cancer Cells and Metastasis
Share to Single-cell and spatial transcriptomics

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 38282415
DOI: 10.1002/ctm2.1548

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Molecular features of luminal breast cancer defined through spatial and single‐cell transcriptomicsPMID 38282415Read ↗

Identification and characterization of a proliferative cell population in estrogen receptor-positive metastatic breast cancer through spatial and single-cell transcriptomicsSemantic proximity Read ↗

Spatial molecular profiling of mixed invasive ductal and lobular breast cancers reveals heterogeneity in intrinsic molecular subtypes, oncogenic signatures, and mutations.Semantic proximity Read ↗

Spatial molecular profiling of mixed invasive ductal-lobular breast cancers reveals heterogeneity in intrinsic molecular subtypes, oncogenic signatures, and mutationsSemantic proximity Read ↗

Spatially distinct cellular and molecular landscapes define prognosis in triple negative breast cancerSemantic proximity Read ↗

The single-cell pathology landscape of breast cancer.Semantic proximity Read ↗

Single-cell and spatially resolved analysis uncovers cell heterogeneity of breast cancerSemantic proximity Read ↗

Breast cancer heterogeneity through the lens of single-cell analysis and spatial pathologiesSemantic proximity Read ↗

Spatial Transcriptomics in Breast Cancer Reveals Tumour Microenvironment-Driven Drug Responses and Clonal Therapeutic HeterogeneitySemantic proximity Read ↗

Landscapes of cellular phenotypic diversity in breast cancer xenografts and their impact on drug responseSemantic proximity Read ↗

A Pan-Cancer Single-Cell Compendium of Intratumoural HeterogeneitySemantic proximity Read ↗

Breast cancer through the lens of whole transcriptome spatial imagingSemantic proximity Read ↗

Single cell transcriptomics reveals molecular subtype and functional heterogeneity in models of breast cancerSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.