Omics · dataset · 2026
Image 1_Patient-aware single-cell analysis of fibrovascular remodeling in a predominantly colorectal cancer immunotherapy cohort.tiff
Listed in ZivaHub and Deakin Research Online and DMU Figshare — shown once because both records carry DOI 10.3389/fimmu.2026.1961075.s003
Background<p>Cancer-associated fibroblasts (CAFs) and vascular mural cells may shape extracellular matrix organization in colorectal cancer.
Description
However, single-cell comparisons are susceptible to unequal cell recovery, ambient RNA, doublets, treatment-stage mixing, and repeated sampling within patients. We investigated fibrovascular remodeling using patients as the inferential unit and distinguished reproducible signals from donor-concentrated and context-dependent findings.</p>Methods<p>We reanalyzed a published single-cell RNA sequencing cohort of 22 patients, including 20 with colorectal cancer and 2 with duodenal carcinoma.
The primary pericyte analysis included 14 pretreatment matched normal-tumor pairs with at least three pericytes per tissue. We assessed ambient contamination and doublets using DecontX and scDblFinder. CAFs were reclustered at six response-blind resolutions, and the stable parent population was tested by patient-blocked pseudobulk analysis after excluding its dominant donor.
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Independent CRC single-cell and spatial datasets, a cross-cancer immunotherapy cohort, and TCGA were used for external testing.</p>Results<p>After DecontX correction, tumor pericytes had higher ECM6 scores (median paired change 0.309; false discovery rate [FDR] 0.018). Scores were also higher for the matrix stiffness transcriptional proxy (0.277; FDR 0.012) and the hypoxia/angiogenesis transcriptional program (0.255; FDR 0.028).
All three signatures remained significant at the five-pericyte threshold (n=13). COL1A1 and FN1 increased in the analysis, although COL1A1 was borderline in the five-cell sensitivity analysis. Response-blind stability analysis identified a 2,983-cell ECM-remodeling CAF population represented in all 22 patients.
After excluding P02, patient-blocked pseudobulk analysis in 15 patients showed higher matrix, inflammatory, and myCAF-related programs and a lower iCAF program. Neither SPP1 nor baseline enrichment in stable disease was supported. In GSE205506, a disjoint 10-gene fibroblast gate retained higher inflammatory and composite CAF scores in non-pCR samples.
The highest-scoring unsupervised cluster was donor-concentrated and showed no patient-level association with response. Spatial and cross-cancer analyses yielded mixed or null results.</p>Conclusions<p>These results support pretreatment fibrovascular transcriptional remodeling at the patient level. They do not establish an SPP1-high response biomarker, a mechanical stiffness phenotype, or causal CAF-to-pericyte signaling.
Donor-aware analysis places the rare-cluster observation within a broader, reproducible ECM-remodeling CAF program while defining its evidential limits.</p>
Links
Where it is published
- DOI doi.org/10.3389/fimmu.2026.1961075.s003 ↗
DOI / persistent id · from zivahub uct ac za
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from zivahub uct ac za
Topics
- From keywords
- Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Life Sciences · Life Sciences · Life Sciences · Medicine & Health · Medicine & Health · Medicine & Health · Single-cell RNA sequencing · Single-cell RNA sequencing · Single-cell RNA sequencing
- Inferred from text
- Cancer 75% · Disease 75% · Image 75% · Oncology and carcinogenesis 73% · RNA sequencing 75% · Sequencing 75%
Provenance · 3 source records, 23 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ZivaHub | oai:figshare.com:article/34039215 | 5 d ago | JSON v1 |
| Deakin Research Online | oai:figshare.com:article/34039215 | 5 d ago | JSON v1 |
| DMU Figshare | oai:figshare.com:article/34039215 | 5 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[disease].local:disease:cancer | enrichment · zivahub uct ac za | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[disease].local:disease:disease | enrichment · zivahub uct ac za | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].anzsrc:group:3211 | enrichment · zivahub uct ac za | taxonomy-embedding@1.1.0 | title+keywords+description (73%) |
| concepts[field].local:field:earth-environmental | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| concepts[modality].local:modality:image | enrichment · zivahub uct ac za | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:rna-seq | enrichment · zivahub uct ac za | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:sequencing | enrichment · zivahub uct ac za | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:single-cell-rna-seq | mapping · dro deakin edu au | vocabulary-mapper@1.0.0 | keywords['single-cell RNA sequencing'] |
| concepts[modality].local:modality:single-cell-rna-seq | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['single-cell RNA sequencing'] |
| concepts[modality].local:modality:single-cell-rna-seq | mapping · figshare dmu ac uk | vocabulary-mapper@1.0.0 | keywords['single-cell RNA sequencing'] |
| description | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/description |
| license | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/rights |
| publication_date | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| title | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/title |