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Background Cancer-associated fibroblasts (CAFs) and vascular mural cells may shape extracellular matrix organization in colorectal cancer. 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. Methods 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. Independent CRC single-cell and spatial datasets, a cross-cancer immunotherapy cohort, and TCGA were used for external testing. Results 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. Conclusions 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.
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Gu et al. (2026) studied this question.
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