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Copy-number intratumor heterogeneity increases the risk of relapse in chemotherapy-naive stage colon cancer
Lahoz, Sara (Institut d'Investigacions Biomèdiques August Pi i Sunyer)
Archilla, Ivan (Universitat de Barcelona)
Asensio, Elena (Institut d'Investigacions Biomèdiques August Pi i Sunyer)
Hernández-Illán, Eva (Institut d'Investigacions Biomèdiques August Pi i Sunyer)
Ferrer Menduiña, Queralt (Institut d'Investigacions Biomèdiques August Pi i Sunyer)
López-Prades, Sandra (Universitat de Barcelona)
Nadeu, Ferran (Institut d'Investigacions Biomèdiques August Pi i Sunyer)
Del Rey Azpiri, Javier (Universitat Autònoma de Barcelona. Departament de Biologia Cel·lular, de Fisiologia i d'Immunologia)
Sanz-Pamplona, Rebeca (Institut d'Investigació Biomèdica de Bellvitge)
Lozano, Juan José (Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas)
Castells, Antoni (Institut d'Investigacions Biomèdiques August Pi i Sunyer)
Cuatrecasas, Miriam (Universitat de Barcelona)
Camps, Jordi (Universitat Autònoma de Barcelona. Departament de Biologia Cel·lular, de Fisiologia i d'Immunologia)

Date: 2022
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.
Grants: Agència de Gestió d'Ajuts Universitaris i de Recerca 2017/SGR-1035
Instituto de Salud Carlos III CPII18/00026
Instituto de Salud Carlos III FI18/00221
Instituto de Salud Carlos III PI17/01304
Instituto de Salud Carlos III PI20/00863
Rights: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades. Creative Commons
Language: Anglès
Document: Article ; recerca ; Versió publicada
Subject: Stage II colon cancer ; Cancer genomics ; Copy-number alterations ; Mutational profiling ; Intratumor heterogeneity ; Machine learning
Published in: The Journal of Pathology, Vol. 257, Num. 1 (April 2022) , p. 68-81, ISSN 1096-9896

DOI: 10.1002/path.5870
PMID: 35066875


14 p, 3.9 MB

The record appears in these collections:
Articles > Research articles
Articles > Published articles

 Record created 2023-08-02, last modified 2024-02-28



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