Abstract 2441: The myCAF and ECM landscape in KRAS-mutated cancer: Utilizing liquid biomarkers to track KRAS-induced fibrosis and KRAS inhibitor efficacy

Abstract Background: KRAS-driven cancer represents ∼25% of cancers, with high rates in pancreatic cancer (PDAC), colorectal cancer (CRC), and non-small cell lung cancer (NSCLC). Mutated KRAS and TGF-β signaling activate cancer-associated fibroblasts (CAFs), creating a fibrotic extracellular matrix (ECM). The fibrotic ECM promotes immunosuppression and tumor growth but is potentially reversible with KRAS inhibitors (KRASi). We have recently demonstrated that myofibroblast CAFs (myCAFs) in KRAS-mutated PDAC express high levels of collagens III, V, VIII, XI, and XII. In this study, we investigated the landscape of KRAS-induced myCAF activation and ECM change across KRAS-mutated cancers. We utilized these changes to identify biomarkers for KRASi efficacy. Methods: Patients with KRAS-mutated PDAC (n=141), CRC (n=223), or NSCLC (n=74) were evaluated for collagen expression and gene-set variation analysis (GSVA) was used for hallmark KRAS and TGF-β signaling. Correlations of KRAS and TGF-β signaling, and collagen expressions across cancers, were evaluated using Spearman correlation. Single-cell RNA-seq data from KRASi treated KPPC mice was analyzed using Seurat. CAFs were subclustered and subtypes identified from marker genes (myCAF, inflammatory CAF, and antigen-presenting CAF). CAF subtype and collagen expression were compared between KRASi and vehicle with Fisher’s exact test and Wilcoxon rank-sum test, respectively. Biomarkers for formation of collagens I (PRO-C1), III (PRO-C3), V (PRO-C5), VIII (PRO-C8), XI (PRO-C11), and XII (PRO-C12) were measured in serum from healthy controls and patients with PDAC, CRC, or NSCLC. Differences between cancer and control were evaluated by Wilcoxon rank-sum test. Results: KRAS signaling was significantly correlated with TGF-β signaling and expression of COL3A1, COL5A2, and COL8A1 across patients with KRAS-mutated PDAC, CRC, and NSCLC (R>0.4, p<0.05). Significantly increased expression of Col3a1, Col5a2, Col8a1, Col11a1, and Col12a1 was observed from fibroblasts in KRASi treated PDAC compared to vehicle (p<0.001). Significantly fewer myCAFs in KRASi treated PDAC (p<0.001) suggested reduced myCAF-derived ECM with KRAS inhibition. Serum biomarkers for formation of myCAF collagens (PRO-C3, PRO-C5, PRO-C8, PRO-C11, and PRO-C12) were significantly upregulated in patients with PDAC, CRC, and NSCLC compared to healthy controls (p<0.001). Type I collagen formation was unaffected (PRO-C1, p=0.37), suggesting KRAS-specific collagen formation. Conclusion: KRAS-mutated tumors have a myCAF-enriched microenvironment with a unique collagen expression profile that is altered by KRAS inhibition. Non-invasive myCAF-derived collagen biomarkers that are elevated in serum from patients with KRAS-driven cancers, can potentially quantify KRAS signaling and track KRASi efficacy to guide clinical decision-making. Citation Format: Martin Birkmose Rasmussen, Rasmus Sund Pedersen, Nicholas Willumsen, Morten Karsdal. The myCAF and ECM landscape in KRAS-mutated cancer: Utilizing liquid biomarkers to track KRAS-induced fibrosis and KRAS inhibitor efficacy [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 2441.

Authors

Institutions

Publication Details

Journal
Cancer Research
Published
2026-04-03
DOI
https://doi.org/10.1158/1538-7445.am2026-2441
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 2441: The myCAF and ECM landscape in KRAS-mutated cancer: Utilizing liquid biomarkers to track KRAS-induced fibrosis and KRAS inhibitor efficacy

Nicholas Willumsen, Rasmus Sund Pedersen, Martin Birkmose Rasmussen, M A Karsdal
Cancer Research
Single-cell and spatial transcriptomics
article

Abstract 2441: The myCAF and ECM landscape in KRAS-mutated cancer: Utilizing liquid biomarkers to track KRAS-induced fibrosis and KRAS inhibitor efficacy

Nicholas Willumsen, Rasmus Sund Pedersen, Martin Birkmose Rasmussen, M A Karsdal
article en

Abstract

Abstract Background: KRAS-driven cancer represents ∼25% of cancers, with high rates in pancreatic cancer (PDAC), colorectal cancer (CRC), and non-small cell lung cancer (NSCLC). Mutated KRAS and TGF-β signaling activate cancer-associated fibroblasts (CAFs), creating a fibrotic extracellular matrix (ECM). The fibrotic ECM promotes immunosuppression and tumor growth but is potentially reversible with KRAS inhibitors (KRASi). We have recently demonstrated that myofibroblast CAFs (myCAFs) in KRAS-mutated PDAC express high levels of collagens III, V, VIII, XI, and XII. In this study, we investigated the landscape of KRAS-induced myCAF activation and ECM change across KRAS-mutated cancers. We utilized these changes to identify biomarkers for KRASi efficacy. Methods: Patients with KRAS-mutated PDAC (n=141), CRC (n=223), or NSCLC (n=74) were evaluated for collagen expression and gene-set variation analysis (GSVA) was used for hallmark KRAS and TGF-β signaling. Correlations of KRAS and TGF-β signaling, and collagen expressions across cancers, were evaluated using Spearman correlation. Single-cell RNA-seq data from KRASi treated KPPC mice was analyzed using Seurat. CAFs were subclustered and subtypes identified from marker genes (myCAF, inflammatory CAF, and antigen-presenting CAF). CAF subtype and collagen expression were compared between KRASi and vehicle with Fisher’s exact test and Wilcoxon rank-sum test, respectively. Biomarkers for formation of collagens I (PRO-C1), III (PRO-C3), V (PRO-C5), VIII (PRO-C8), XI (PRO-C11), and XII (PRO-C12) were measured in serum from healthy controls and patients with PDAC, CRC, or NSCLC. Differences between cancer and control were evaluated by Wilcoxon rank-sum test. Results: KRAS signaling was significantly correlated with TGF-β signaling and expression of COL3A1, COL5A2, and COL8A1 across patients with KRAS-mutated PDAC, CRC, and NSCLC (R>0.4, p<0.05). Significantly increased expression of Col3a1, Col5a2, Col8a1, Col11a1, and Col12a1 was observed from fibroblasts in KRASi treated PDAC compared to vehicle (p<0.001). Significantly fewer myCAFs in KRASi treated PDAC (p<0.001) suggested reduced myCAF-derived ECM with KRAS inhibition. Serum biomarkers for formation of myCAF collagens (PRO-C3, PRO-C5, PRO-C8, PRO-C11, and PRO-C12) were significantly upregulated in patients with PDAC, CRC, and NSCLC compared to healthy controls (p<0.001). Type I collagen formation was unaffected (PRO-C1, p=0.37), suggesting KRAS-specific collagen formation. Conclusion: KRAS-mutated tumors have a myCAF-enriched microenvironment with a unique collagen expression profile that is altered by KRAS inhibition. Non-invasive myCAF-derived collagen biomarkers that are elevated in serum from patients with KRAS-driven cancers, can potentially quantify KRAS signaling and track KRASi efficacy to guide clinical decision-making. Citation Format: Martin Birkmose Rasmussen, Rasmus Sund Pedersen, Nicholas Willumsen, Morten Karsdal. The myCAF and ECM landscape in KRAS-mutated cancer: Utilizing liquid biomarkers to track KRAS-induced fibrosis and KRAS inhibitor efficacy [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 2441.

Cancer ResearchVol. 86(7_Supplement)
Nordic Bioscience (Denmark) (DK)
Openalex Percentile: Top 8%
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.