Fibroblast-enriched senescence-associated transcription and measurement-context-dependent FAP–matrix covariation in colorectal cancer

Abstract Bulk tumour transcriptomes mix cellular composition, senescence-associated transcription and extracellular-matrix signals. We examined the compartmental distribution of senescence-associated transcription in colorectal cancer and its relationship to fibroblast activation protein (FAP)-linked matrix covariation. Patient-paired compartments were analysed in two single-cell RNA-sequencing cohorts, followed by FAP-specific models, expression-matched null signatures, target-purged bulk composition analyses, colon tumour proteomics and three-cohort spatial assessment. Source-available SenMayo scores were higher in fibroblast than epithelial compartments in GSE132465 (23 of 23 patients; median paired difference 0.466; exact P = 2.38 × 10 − 7 ) and GSE166555 (9 of 10; median difference 0.149; P = 0.0195). A 111-gene common-core sensitivity retained the direction in both cohorts. Within GSE132465 tumour fibroblasts, patient-cluster bootstrap estimates did not support additional enrichment among FAP-detected cells: β = 0.0239 (95% confidence interval [CI], − 0.0175 to 0.0675) for SenMayo and β = 0.0340 (95% CI, − 0.0374 to 0.1095) for the senescence-associated secretory phenotype. FAP–matrix correlations were positive in both single-cell cohorts, although direct contrasts did not establish that they were larger than FAP–SenMayo correlations. In 380 TCGA tumours, FAP13–matrix4 covariation remained positive after target-purged joint composition adjustment (partial ρ = 0.466; 95% CI, 0.363 to 0.556), but its magnitude varied across proxy definitions. Spatial common-core effects were positive in GSE280315 and the Valdeolivas cohort but mixed or negative in GSE334323. Together, the data localize senescence-associated transcription preferentially to fibroblast compartments while separating this finding from FAP detection and matrix abundance. Establishing durable cellular senescence or causal stromal signalling will require orthogonal validation.

Authors

Institutions

Publication Details

Journal
Research Square
Published
2026-11-11
DOI
https://doi.org/10.21203/rs.3.rs-11027032/v1
Primary Topic
Single-cell and spatial transcriptomics
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
preprint

Fibroblast-enriched senescence-associated transcription and measurement-context-dependent FAP–matrix covariation in colorectal cancer

Juan Yang, Wei Zhu, Pan Sun, Jinglin Wang et al.
Research Square
Single-cell and spatial transcriptomics
preprint

Fibroblast-enriched senescence-associated transcription and measurement-context-dependent FAP–matrix covariation in colorectal cancer

Juan Yang, Wei Zhu, Pan Sun, Jinglin Wang, Yao Tang, Yan Zhang
preprint en

Abstract

Abstract Bulk tumour transcriptomes mix cellular composition, senescence-associated transcription and extracellular-matrix signals. We examined the compartmental distribution of senescence-associated transcription in colorectal cancer and its relationship to fibroblast activation protein (FAP)-linked matrix covariation. Patient-paired compartments were analysed in two single-cell RNA-sequencing cohorts, followed by FAP-specific models, expression-matched null signatures, target-purged bulk composition analyses, colon tumour proteomics and three-cohort spatial assessment. Source-available SenMayo scores were higher in fibroblast than epithelial compartments in GSE132465 (23 of 23 patients; median paired difference 0.466; exact P = 2.38 × 10 − 7 ) and GSE166555 (9 of 10; median difference 0.149; P = 0.0195). A 111-gene common-core sensitivity retained the direction in both cohorts. Within GSE132465 tumour fibroblasts, patient-cluster bootstrap estimates did not support additional enrichment among FAP-detected cells: β = 0.0239 (95% confidence interval [CI], − 0.0175 to 0.0675) for SenMayo and β = 0.0340 (95% CI, − 0.0374 to 0.1095) for the senescence-associated secretory phenotype. FAP–matrix correlations were positive in both single-cell cohorts, although direct contrasts did not establish that they were larger than FAP–SenMayo correlations. In 380 TCGA tumours, FAP13–matrix4 covariation remained positive after target-purged joint composition adjustment (partial ρ = 0.466; 95% CI, 0.363 to 0.556), but its magnitude varied across proxy definitions. Spatial common-core effects were positive in GSE280315 and the Valdeolivas cohort but mixed or negative in GSE334323. Together, the data localize senescence-associated transcription preferentially to fibroblast compartments while separating this finding from FAP detection and matrix abundance. Establishing durable cellular senescence or causal stromal signalling will require orthogonal validation.

Research Square
Affiliated Hospital of Guizhou Medical University (CN)
Single-cell and spatial transcriptomics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon