4.7 Article

Intratumor CMS Heterogeneity Impacts Patient Prognosis in Localized Colon Cancer

Journal

CLINICAL CANCER RESEARCH
Volume 27, Issue 17, Pages 4768-4780

Publisher

AMER ASSOC CANCER RESEARCH
DOI: 10.1158/1078-0432.CCR-21-0529

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Funding

  1. program Cartes d'Identite des Tumeurs (CIT) from the Ligue Nationale Contre le Cancer (LNCC)
  2. Institut National du Cancer (INCa)
  3. ITMO CANCER through the program single cell COCAHEMISCLE
  4. integrated site of cancer research cancer research for personalized medicine (SIRIC CARPEM) [INCa-DGOS-Inserm_12561]
  5. Federation Francophone de Cancerologie Digestive (FFCD)
  6. biological resource center EPIGENETEC [BB-0033-00055]

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The study demonstrates that intratumor heterogeneity (ITH) in colon cancer, decoded based on consensus molecular subtypes (CMS), is common and impacts prognosis. Combinations of different CMSs are associated with poorer outcomes, with ITH being a significant factor in disease-free survival variance. Additionally, cellular analysis suggests that ITH could reflect distinct functional statuses of colon cancer cells, implying potential plasticity between different cell populations related to CMS. Further evaluation of transcriptomic ITH is warranted in the context of personalized medicine.
Purpose: The consensus molecular subtypes (CMS) represent a significant advance in the understanding of intertumor heterogeneity in colon cancer. Intratumor heterogeneity (ITH) is the new frontier for refining prognostication and understanding treatment resistance. This study aims at deciphering the transcriptomic ITH of colon cancer and understanding its potential prognostic implications. Experimental Design: We deconvoluted the transcriptomic profiles of 1,779 tumors from the PETACC8 trial and 155 colon cancer cell lines as weighted sums of the four CMSs, using the Weighted In Silico Pathology (WISP) algorithm. We assigned to each tumor and cell line a combination of up to three CMS subtypes with a threshold above 20%. Results: Over 55% of tumors corresponded to mixtures of at least two CMSs, demonstrating pervasive ITH in colon cancer. Of note, ITH was associated with shorter disease-free survival (DFS) and overall survival, [HR, 1.34; 95% confidence interval (CI; 1.12-1.59), 1.40, 95% CI (1.14-1.71), respectively]. Moreover, we uncovered specific combinations of CMS associated with dismal prognosis. In multivariate analysis, ITH represents the third parameter explaining DFS variance, after T and N stages. At a cellular level, combined WISP and single-cell transcriptomic analysis revealed that most colon cancer cell lines are a mixture of cells falling into different CMSs, indicating that ITH may correspond to distinct functional statuses of colon cancer cells. Conclusions: This study shows that CMS-based transcriptomic ITH is frequent in colon cancer and impacts its prognosis. CMS-based transcriptomic ITH may correspond to distinct functional statuses of colon cancer cells, suggesting plasticity between CMS-related cell populations. Transcriptomic ITH deserves further assessment in the context of personalized medicine.

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