Abstract Background: The immune and vascular features of the tumor microenvironment influence outcomes of patients with colorectal cancer liver metastases (CRLMs). However, comparative analyses of these features, and their interactions, between primary colorectal tumors and their matched CRLMs, as well as their treatment-driven remodeling are limited. Methods: We analyzed 1-3 TMA cores per tumor (1 mm) from 50 matched primary tumors and CRLM (15 untreated, 35 neoadjuvant-treated with cytotoxic ±VEGF-/EGFR-targeted agents before liver resection). We used multiplex immunofluorescence to quantify T-cell densities (CD3, CD4, CD8, PD1, FOXP3, TIM3, Ki67), vessels (claudin-5) and perivascular (PV) subset (αSMA, PDGFRβ) fractions. Statistical analyses included non-parametric tests (Wilcoxon, Mann-Whitney, Spearman) and Intraclass Correlation Coefficient (ICC) for concordance. Results: Comparisons of untreated paired primary tumors and CRLMs identified significantly lower densities of CD3+CD8+Ki67+, CD3+CD4+Ki67+, CD3+CD4+FOXP3+, and CD3+CD8+PD1+ cells (all p≤0.006) in CRLMs. Regarding vessels, CRLMs showed a lower fraction of αSMA+PDGFRβ+ PV subset (p=0.001), higher fraction of αSMA+PDGFRβ- PV subset (p0.001), and increased vessel density (p=0.01). Analyses contrasting untreated and treated CRLM showed reduced vessel size (p=0.002) in treated CRLM. Analysis of immune-vascular co-occurrence patterns of potential functional significance was also performed. In untreated primaries, the αSMA-PDGFRβ+ PV subset correlated positively with densities of CD3+CD8+FOXP3+ (r=0.66, p=0.008), CD3+CD8+Ki67+ (r=0.61, p=0.016), and CD3+CD4+PD1+ (r=0.59, p=0.002) cells. In contrast, in untreated CRLMs, the αSMA+PDGFRβ+ PV subset correlated with CD3+CD4+Ki67+ (r=0.56, p=0.03) and CD3+CD4+PD1+ (r=0.62, p=0.013) cell densities. Furthermore, in CRLMs, larger vessel size was uniquely associated with higher CD3+CD4+ cell density (r=0.54, p=0.04). Treatment-exposed CRLMs lacked the associations of untreated CRLMs and instead displayed new associations such as αSMA-PDGFRβ+ PV subset and CD3+CD8+Ki67+ cells (r=0.40, p=0.018). Finally, ICC analyses of inside-case concordance regarding marker status in untreated primary, and CRLM showed that vascular metrics were more stable within patients (αSMA-PDGFRβ+ PV subset ICC=0.60; vessel size ICC=0.36), than T-cell densities (mean ICC=0.02). Conclusion: These exploratory analyses indicate that CRLM is characterized by lower immune cell densities and a different PV stroma compared to primary tumors. Treatment appears to have a stronger impact on CRLM vessel features than on immune features. Furthermore, immune-vascular co-occurrence patterns are site specific and modulated by treatment. Collectively, these preliminary results identify immune-vascular features for further exploration regarding biomarker and drug target potential. Citation Format: Alfonso Martín-Bernabé, Tove Bekkhus, Elisabet Rodríguez-Tomàs, Reetta Peltonen, Pauliina Reijonen, Emerik Osterlund, Caj Haglund, Jaana Hagström, Helena Isoniemi, Bengt Glimelius, Tobias Sjöblom, Arne Östman, Ari Ristimäki, Teijo Pellinen, Pia Osterlund. Immune-vascular profiles in primary tumors and paired liver metastases of colorectal cancer 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 6119.
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Alfonso Martín-Bernabé
Tove Bekkhus
Elisabet Rodríguez-Tomàs
Cancer Research
Karolinska Institutet
The University of Texas MD Anderson Cancer Center
University of Helsinki
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Martín-Bernabé et al. (Fri,) studied this question.
www.synapsesocial.com/papers/69d1fc70a79560c99a0a20c5 — DOI: https://doi.org/10.1158/1538-7445.am2026-6119
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