Journal of Translational Medicine (Dec 2024)

Combining immunoscore and tumor budding in colon cancer: an insightful prognostication based on the tumor-host interface

  • T. S. Haddad,
  • J. M. Bokhorst,
  • M. D. Berger,
  • L. v. d. Dobbelsteen,
  • F. Simmer,
  • F. Ciompi,
  • J. Galon,
  • J. v. d. Laak,
  • F. Pagès,
  • I. Zlobec,
  • A. Lugli,
  • I. D. Nagtegaal

DOI
https://doi.org/10.1186/s12967-024-05818-z
Journal volume & issue
Vol. 22, no. 1
pp. 1 – 11

Abstract

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Abstract Background Tumor Budding (TB) and Immunoscore are independent prognostic markers in colon cancer (CC). Given their respective representation of tumor aggressiveness and immune response, we examined their combination in association with patient disease-free survival (DFS) in pTNM stage I-III CC. Methods In a series of pTNM stage I-III CCs (n = 654), the Immunoscore was computed and TB detected automatically using a deep learning network. Two-tiered systems for both biomarkers were used with cut-offs of 25% and ten buds for Immunoscore and TB according to clinical guidelines, respectively. Associations of Immunoscore with TB with 5-year DFS were examined using Kaplan–Meier survival analysis in addition to multivariable modeling and relative contribution analysis using Cox regression. Results Immunoscore and TB independently are prognostic with hazard ratio (HR) = 2.0, 95% confidence interval (CI) 1.4–2.8 and HR 2.5, with 95% CI 1.4–4.5, respectively; P value < 0.0001. By combining Immunoscore with TB, patients with Immunoscore Low, TB High tumors had a significantly poorer DFS (HR 5.6, 95% CI 2.6–12.0; P value < 0.0001) than those with Immunoscore High, TB Low tumors. The combined Immunoscore with TB score was independently prognostic (P value = 0.009) in comparison to N-stage, T-stage, and MSI. Immunoscore with TB had the highest relative contribution (35%) to DFS in pTNM stage I-II CCs. Conclusions The association of Immunoscore and TB with patient survival suggests that both biomarkers are complementary and should be interpreted in combination to identify high-risk Stage I-II patients who should be considered for adjuvant therapy or further diagnostic testing.

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