Literature DB >> 35066875

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

Sara Lahoz1, Ivan Archilla2, Elena Asensio1, Eva Hernández-Illán1, Queralt Ferrer1, Sandra López-Prades2, Ferran Nadeu3, Javier Del Rey4, Rebeca Sanz-Pamplona5, Juan José Lozano6, Antoni Castells1, Miriam Cuatrecasas2, Jordi Camps1,4.   

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. © 2022 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.

Entities:  

Keywords:  cancer genomics; copy-number alterations; intratumor heterogeneity; machine learning; mutational profiling; stage II colon cancer

Mesh:

Year:  2022        PMID: 35066875     DOI: 10.1002/path.5870

Source DB:  PubMed          Journal:  J Pathol        ISSN: 0022-3417            Impact factor:   9.883


  3 in total

1.  Metabolic pathway-based molecular subtyping of colon cancer reveals clinical immunotherapy potential and prognosis.

Authors:  Zhujiang Dai; Xiang Peng; Yuegui Guo; Xia Shen; Wenjun Ding; Jihong Fu; Zhonglin Liang; Jinglue Song
Journal:  J Cancer Res Clin Oncol       Date:  2022-06-22       Impact factor: 4.553

2.  Genetic and microenvironmental intra-tumor heterogeneity impacts colorectal cancer evolution and metastatic development.

Authors:  Daniel Sobral; Marta Martins; Shannon Kaplan; Mahdi Golkaram; Michael Salmans; Nafeesa Khan; Raakhee Vijayaraghavan; Sandra Casimiro; Afonso Fernandes; Paula Borralho; Cristina Ferreira; Rui Pinto; Catarina Abreu; Ana Lúcia Costa; Shile Zhang; Traci Pawlowski; Jim Godsey; André Mansinho; Daniela Macedo; Soraia Lobo-Martins; Pedro Filipe; Rui Esteves; João Coutinho; Paulo Matos Costa; Afonso Ramires; Fernando Aldeia; António Quintela; Alex So; Li Liu; Ana Rita Grosso; Luis Costa
Journal:  Commun Biol       Date:  2022-09-09

3.  Copy-number intratumor heterogeneity as high-risk feature of stage II colon cancer.

Authors:  Tom van den Bosch; Daniël M Miedema; Louis Vermeulen
Journal:  J Pathol       Date:  2022-05-23       Impact factor: 9.883

  3 in total

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