Copy-number intratumor heterogeneity increases the risk of relapse in chemotherapy-naive stage colon cancer

Sara Lahoz, Ivan Archilla, Elena Asensio, Eva Hernández-Illán, Queralt Ferrer Menduiña, Sandra López-Prades, Ferran Nadeu, Javier Del Rey Azpiri, Rebeca Sanz-Pamplona, Juan José Lozano, Antoni Castells, Miriam Cuatrecasas, Jordi Camps

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9 Citations (Scopus)

Abstract

Optimal selection of high-risk patients with stage II colon cancer is crucial to ensure clinical benefit of adjuvant chemotherapy. Here, we investigated the prognostic value of genomic intratumor heterogeneity and aneuploidy for disease recurrence. We combined targeted sequencing, SNP arrays, fluorescence in situ hybridization, and immunohistochemistry on a retrospective cohort of 84 untreated stage II colon cancer patients. We assessed the clonality of copy-number alterations (CNAs) and mutations, CD8 + lymphocyte infiltration, and their association with time to recurrence. Prognostic factors were included in machine learning analysis to evaluate their ability to predict individual relapse risk. Tumors from recurrent patients displayed a greater proportion of CNAs compared with non-recurrent (mean 31.3% versus 23%, respectively; p = 0.014). Furthermore, patients with elevated tumor CNA load exhibited a higher risk of recurrence compared with those with low levels [ p = 0.038; hazard ratio (HR) 2.46], which was confirmed in an independent cohort (p = 0.004; HR 3.82). Candidate chromosome-specific aberrations frequently observed in recurrent cases included gain of the chromosome arm 13q (p = 0.02; HR 2.67) and loss of heterozygosity at 17q22-q24.3 (p = 0.05; HR 2.69). CNA load positively correlated with intratumor heterogeneity (R = 0.52; p < 0.0001). Consistently, incremental subclonal CNAs were associated with an elevated risk of relapse (p = 0.028; HR 2.20), which we did not observe for subclonal single-nucleotide variants and small insertions and deletions. The clinico-genomic model rated an area under the curve of 0.83, achieving a 10% incremental gain compared with clinicopathological markers (p = 0.047). In conclusion, tumor aneuploidy and copy-number intratumor heterogeneity were predictive of poor outcome and improved discriminative performance in early-stage colon cancer. © 2022 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.
Original languageEnglish
Pages (from-to)68-81
Number of pages14
JournalJournal of Pathology
Volume257
Issue number1
DOIs
Publication statusPublished - 2022

Keywords

  • stage II colon cancer
  • Cancer genomics
  • Copy-number alterations
  • Mutational profiling
  • Intratumor heterogeneity
  • Machine learning

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