ArticleAmerican journal of clinical pathology2025
High α-SMA expression in the tumor stroma is associated with adverse clinical parameters in mismatch repair-proficient colorectal cancers only.
Article in American journal of clinical pathology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Cancer-associated fibroblasts in thyroid cancer stroma correlate with tumour progression and desmoplasia: a histopathological study.Thyroid research · 2026Article
- Effect of Electric Fields on the Mechanical Mechanism of Regorafenib-VEGFR2 Interaction to Enhance Inhibition of Hepatocellular Carcinoma.Biomolecules · 2025Article
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6 authors.
Funding
Abstract
objectivesAs mismatch repair status confers differential prognosis in colorectal cancers, this study aimed to determine associations of α-smooth muscle actin (α-SMA) protein expression in mismatch repair-proficient (pMMR) and mismatch repair-deficient (dMMR) colorectal tumors with clinicopathologic and prognostic features.
methodsTissue microarrays from patients with colorectal cancer, immunostained with α-SMA, were assessed through digital image analysis. Total (n = 962), pMMR (n = 782), and dMMR (n = 156) stromal H-scores were assessed for associations with clinicopathologic and survival data.
resultsHigher α-SMA expression was correlated with pMMR status (P = 5.2223 × 10-8). In the pMMR subgroup, higher α-SMA stromal expression at the tumor periphery was correlated with higher T stage (P = .002), perineural invasion (P = .038), infiltrative tumor edge (P = .01), involved nodal status (P = .036), metastases (P = .013), synchronous metastases (P = .007), recurrence (P = .004), and both 3-year and 5-year survival (P = .018). dMMR tumors showed no significant correlations with α-SMA staining.
conclusionsThe findings highlight that immunostaining with α-SMA in pMMR colorectal tumors, especially at the tumor periphery, has the potential to identify patients with adverse prognostic features. Digital assessment of α-SMA may offer improved objectivity, accuracy, economy of time, and risk stratification for management.
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