Omics · study · 2026
A Unique System of Paired PDX Models to Investigate the Progression of Potentially Lethal to Lethal Prostate Tumors at a Multi-omic Level
Listed in NCBI GEO
Prostate cancer (PCa) exhibits substantial heterogeneity in aggressiveness among patients, with significant lethality in its advanced metastatic stages.
Description
Defining the molecular mechanisms underlying rapid disease progression remains a pressing unmet need. Here, we present a comparative analysis of a longitudinally paired patient-derived xenograft model of aggressive PCa progression before and after therapeutic intervention.
Using multi-omic analysis, we characterized the MDA PCa 177-B (androgen receptor [AR]-negative, basal) and MDA PCa 189-1 (AR-positive, luminal) models, which exhibit distinct transcriptomic profiles yet originate from a shared clonal lineage. Targeted and single-cell DNA sequencing revealed that these models share 71.5% of copy number variations, tracing back to a common ancestral cell population. Targeted bisulfite sequencing of both models revealed epigenetic marks unique for aggressive disease compared to normal/benign prostate.
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Next, through single-cell RNA sequencing, we identified a subset of cells exhibiting a low differentiation profile, present in both PDX models and characterized by a unique molecular signature associated with adaptive immune responses and metastasis-related pathways. Further integrative analysis using data from a broad spectrum of disease samples demonstrated that, within this pair of aggressive PDX models, these low-differentiation clusters are exclusive to stem-like tumor cell populations.
These findings support the hypothesis that a continuum of epigenetic, transcriptomic, and phenotypic transitions occurs during the progression of PCa from its potentially lethal to lethal stages. We suggest that this continuum can be captured through well-characterized, longitudinal PDX models derived from the same patient. Our multi-omic approach underscores the value of such models in uncovering the dynamic and adaptive mechanisms of PCa aggressiveness.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE293nnn/GSE293911 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE293911 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1247410 ncbi.nlm.nih.gov/bioproject/PRJNA1247410 ↗
project · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Homo sapiens
- From keywords
- Life Sciences
- Inferred from text
- Cancer 75% · Disease 75% · Longitudinal study 65% · RNA sequencing 75% · Sequencing 75% · Single-cell RNA sequencing 75%
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE293911 | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[disease].local:disease:cancer | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[disease].local:disease:disease | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[method].local:method:longitudinal-study | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[modality].local:modality:rna-seq | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:sequencing | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:single-cell-rna-seq | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[organism].NCBITaxon:9606 | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /taxon |
| description | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /summary |
| publication_date | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| title | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /title |