Intratumor CMS heterogeneity impacts patient prognosis in localized colon cancer
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Abstract
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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Mixed CMS tumors with a CMS4 component also have a poor outcome.
“This also holds for mixed CMS tumors with a CMS4 component (13).”
From Clinical Challenges of Consensus Molecular Subtype CMS4 Colon Cancer in the Era of Precision Medicine (2024) · cites this paper as [13]
Intratumor heterogeneity is associated with the notable dismal prognosis of CMS4-associated combinations.
“Finally, one challenging issue arising from intratumor heterogeneity pertains to the notable dismal prognosis of CMS4-associated combinations (13).”
From Clinical Challenges of Consensus Molecular Subtype CMS4 Colon Cancer in the Era of Precision Medicine (2024) · cites this paper as [13]
NanoString-based classifiers have been developed for CMS4 colorectal cancer.
“A number of teams, including ours, have further developed NanoString-based classifiers (13, 22, 59).”
From Clinical Challenges of Consensus Molecular Subtype CMS4 Colon Cancer in the Era of Precision Medicine (2024) · cites this paper as [13]
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Cites
The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity
Barretina, J., Caponigro, G., Stransky, N., Venkatesan, K., Margolin, A. A., Kim, S., Wilson, C. J., Lehár, J., Kryukov, G. V., Sonkin, D., et al. (2012) · Nature · doi:10.1038/nature11003 · Cited by 7,950 · see citing works
Intratumor Heterogeneity and Branched Evolution Revealed by Multiregion Sequencing
Gerlinger, M., Rowan, A. J., Horswell, S., Larkin, J., Endesfelder, D., Gronroos, E., Martinez, P., Matthews, N., Stewart, A., Tarpey, P., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1113205 · Cited by 7,774 · cited 1× · see citing works
“ITH ismostly studied at the genetic level, referring then to subclonality, and was in particular documented through multi-regions intratumor DNA sequencing (11, 28).”
BackgroundAllemani, C., Matsuda, T., Di Carlo, V., Harewood, R., Matz, M., Nikšić, M., Bonaventure, A., Valkov, M., Johnson, C. J., Estève, J., et al. (2018) · The Lancet · doi:10.1016/s0140-6736(17)33326-3 · Cited by 6,145 · see citing works
The consensus molecular subtypes of colorectal cancer
Guinney, J., Dienstmann, R., Wang, X., de Reyniès, A., Schlicker, A., Soneson, C., Marisa, L., Roepman, P., Nyamundanda, G., Angelino, P., et al. (2015) · Nature Medicine · doi:10.1038/nm.3967 · Cited by 5,170 · see citing works
Self-citationBecht, É., Giraldo, N. A., Lacroix, L., Buttard, B., Elarouci, N., Petitprez, F., Sèlves, J., Laurent‐Puig, P., Sautès‐Fridman, C., Fridman, W. H., et al. (2016) · Genome biology · doi:10.1186/s13059-016-1070-5 · Cited by 3,677 · see citing works
Self-citationESMO consensus guidelines for the management of patients with metastatic colorectal cancer
Van Cutsem, E., Cervantes, A., Adam, R., Sobrero, A., Van Krieken, J. H., Aderka, D., Aranda Aguilar, E., Bardelli, A., Benson, A., Bodoky, G., et al. (2016) · Annals of Oncology · doi:10.1093/annonc/mdw235 · Cited by 3,421 · see citing works
Self-citationClonal heterogeneity and tumor evolution: past, present, and the future
McGranahan, N., & Swanton, C. (2017) · Cell · doi:10.1016/j.cell.2017.01.018 · Cited by 2,840 · see citing works
Pagès, F., Mlecnik, B., Marliot, F., Bindea, G., Ou, F.-S., Bifulco, C., Lugli, A., Zlobec, I., Rau, T. T., Berger, M. D., et al. (2018) · The Lancet · doi:10.1016/s0140-6736(18)30789-x · Cited by 2,075 · see citing works
TGFβ drives immune evasion in genetically reconstituted colon cancer metastasis
Tauriello, D. V. F., Palomo-Ponce, S., Stork, D., Berenguer-Llergo, A., Badia-Ramentol, J., Iglesias, M., Sevillano, M., Ibiza, S., Cañellas, A., Hernando-Momblona, X., et al. (2018) · Nature · doi:10.1038/nature25492 · Cited by 1,851 · see citing works
Marisa, L., de Reyniès, A., Duval, A., Selves, J., Gaub, M. P., Vescovo, L., Etienne-Grimaldi, M.-C., Schiappa, R., Guenot, D., Ayadi, M., et al. (2013) · PLoS Medicine · doi:10.1371/journal.pmed.1001453 · Cited by 1,507 · see citing works
Self-citationChalabi, M., Fanchi, L. F., Dijkstra, K. K., Van den Berg, J. G., Aalbers, A. G., Sikorska, K., Lopez-Yurda, M., Grootscholten, C., Beets, G. L., Snaebjornsson, P., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-0805-8 · Cited by 1,417 · see citing works
The evolutionary history of 2,658 cancers
Gerstung, M., Jolly, C., Leshchiner, I., Dentro, S. C., Gonzalez, S., Rosebrock, D., Mitchell, T. J., Rubanova, Y., Anur, P., Yu, K., et al. (2020) · Nature · doi:10.1038/s41586-019-1907-7 · Cited by 1,057 · see citing works
Intratumor Heterogeneity: The Rosetta Stone of Therapy Resistance
Marusyk, A., Janiszewska, M., & Polyak, K. (2020) · Cancer Cell · doi:10.1016/j.ccell.2020.03.007 · Cited by 1,009 · see citing works
Lineage-dependent gene expression programs influence the immune landscape of colorectal cancer
Lee, H., Hong, Y., Etlioglu, H. E., Cho, Y. B., Pomella, V., den Bosch, B. V., Vanhecke, J., Verbandt, S., Hong, H.-K., Min, J.-W., et al. (2020) · Nature Genetics · doi:10.1038/s41588-020-0636-z · Cited by 916 · see citing works
Fukuoka, S., Hara, H., Takahashi, N., Kojima, T., Kawazoe, A., Asayama, M., Yoshii, T., Kotani, D., Tamura, H., Mikamoto, Y., et al. (2020) · Journal of Clinical Oncology · doi:10.1200/jco.19.03296 · Cited by 890 · cited 1× · see citing works
“This observation could have some relevance regarding the development of immune checkpoint immunotherapy in Microsatellite stable tumors (33, 34).”
BackgroundPan-cancer analysis of the extent and consequences of intratumor heterogeneity
Andor, N., Graham, T. A., Jansen, M., Xia, L. C., Aktipis, A., Petritsch, C. K., Ji, H. P., & Maley, C. C. (2015) · Nature Medicine · doi:10.1038/nm.3984 · Cited by 752 · see citing works
Becht, E., de Reyniès, A., Giraldo, N. A., Pilati, C., Buttard, B., Lacroix, L., Selves, J., Sautès-Fridman, C., Laurent-Puig, P., & Fridman, W. H. (2016) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-15-2879 · Cited by 590 · see citing works
Self-citationTumour cell heterogeneity maintained by cooperating subclones in Wnt-driven mammary cancers
Cleary, A. S., Leonard, T. L., Gestl, S. A., & Gunther, E. J. (2014) · Nature · doi:10.1038/nature13187 · Cited by 461 · see citing works
Pan-cancer single-cell RNA-seq identifies recurring programs of cellular heterogeneity
Kinker, G. S., Greenwald, A. C., Tal, R., Orlova, Z., Cuoco, M. S., McFarland, J. M., Warren, A., Rodman, C., Roth, J. A., Bender, S. A., et al. (2020) · Nature Genetics · doi:10.1038/s41588-020-00726-6 · Cited by 445 · see citing works
The molecular landscape of colorectal cancer cell lines unveils clinically actionable kinase targets
Medico, E., Russo, M., Picco, G., Cancelliere, C., Valtorta, E., Corti, G., Buscarino, M., Isella, C., Lamba, S., Martinoglio, B., et al. (2015) · Nature Communications · doi:10.1038/ncomms8002 · Cited by 302 · see citing works
Pan-cancer analysis of intratumor heterogeneity as a prognostic determinant of survival
Morris, L. G. T., Riaz, N., Desrichard, A., Şenbabaoğlu, Y., Hakimi, A. A., Makarov, V., Reis-Filho, J. S., & Chan, T. A.-T. (2016) · Oncotarget · doi:10.18632/oncotarget.7067 · Cited by 297 · see citing works
Taı̈eb, J., Tabernero, J. M., Mini, E., Subtil, F., Folprecht, G., Laethem, J. V., Thaler, J., Bridgewater, J. A., Pétersen, L. N., Blons, H., et al. (2014) · The Lancet Oncology · doi:10.1016/s1470-2045(14)70227-x · Cited by 290 · see citing works
Self-citationPrognostic Value ofBRAF and KRAS Mutations in MSI and MSS Stage III Colon Cancer
Taı̈eb, J., Malicot, K. L., Shi, Q., Penault-Llorca, F. M., Bouché, O., Tabernero, J. M., Mini, E., Goldberg, R. M., Folprecht, G., Laethem, J. V., et al. (2016) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/djw272 · Cited by 273 · see citing works
Self-citationLenz, H.-J., Ou, F.-S., Venook, A. P., Hochster, H. S., Niedzwiecki, D., Goldberg, R. M., Mayer, R. J., Bertagnolli, M. M., Blanke, C. D., Zemla, T., et al. (2019) · Journal of Clinical Oncology · doi:10.1200/jco.18.02258 · Cited by 246 · see citing works
Blum, Y., Meiller, C., Quetel, L., Elarouci, N., Ayadi, M., Tashtanbaeva, D., Armenoult, L., Montagne, F., Tranchant, R., Renier, A., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-09307-6 · Cited by 196 · see citing works
Self-citationCellMix: a comprehensive toolbox for gene expression deconvolution
Gaujoux, R., & Seoighe, C. (2013) · Bioinformatics · doi:10.1093/bioinformatics/btt351 · Cited by 193 · see citing works
Dunne, P. D., McArt, D. G., Bradley, C. A., O’Reilly, P. G., Barrett, H. L., Cummins, R., O’Grady, T., Arthur, K., Loughrey, M. B., Allen, W. L., et al. (2016) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-16-0032 · Cited by 162 · see citing works
Marisa, L., Svrcek, M., Collura, A., Becht, É., Cervera, P., Wanherdrick, K., Buhard, O., Goloudina, A. R., Jonchère, V., Sèlves, J., et al. (2017) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/djx136 · Cited by 129 · see citing works
Self-citationSharma, A., Merritt, E., Hu, X., Cruz, A., Jiang, C., Sarkodie, H., Zhou, Z. M., Malhotra, J. D., Riedlinger, G., & De, S. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.10.045 · Cited by 126 · see citing works
Tumor Heterogeneity Predicts Metastatic Potential in Colorectal Cancer
Joung, J., Oh, B. Y., Hong, H. K., Alkhalidi, H., Al-Alem, F., Lee, H., Bae, J. S., Kim, J.-H., Cha, H., Alotaibi, M., et al. (2017) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-17-0306 · Cited by 108 · see citing works
Franks, J. M., Cai, G., & Whitfield, M. L. (2018) · Bioinformatics · doi:10.1093/bioinformatics/bty026 · Cited by 101 · see citing works
Single-cell analysis of clonal maintenance of transcriptional and epigenetic states in cancer cells
Meir, Z., Mukamel, Z., Chomsky, E., Lifshitz, A., & Tanay, A. (2020) · Nature Genetics · doi:10.1038/s41588-020-0645-y · Cited by 98 · see citing works
CMS-dependent prognostic impact of KRAS and BRAFV600E mutations in primary colorectal cancer
Smeby, J., Sveen, A., Merok, M. A., Danielsen, S. A., Eilertsen, I. A., Guren, M. G., Dienstmann, R., Nesbakken, A., & Lothe, R. A. (2018) · Annals of Oncology · doi:10.1093/annonc/mdy085 · Cited by 84 · see citing works
Piskol, R., Huw, L., Sergin, I., Kljin, C., Modrusan, Z., Kim, D., Kljavin, N., Tam, R., Patel, R., Burton, J., et al. (2019) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-18-3032 · Cited by 62 · see citing works
Intratumor heterogeneity inferred from targeted deep sequencing as a prognostic indicator
Oh, B. Y., Shin, H., Yun, J. W., Kim, K., Kim, J.-H., Bae, J. S., Cho, Y. B., Lee, W. Y., Yun, S. H., Park, Y. A., et al. (2019) · Scientific Reports · doi:10.1038/s41598-019-41098-0 · Cited by 54 · see citing works
Single-Cell Transcriptomic Heterogeneity in Invasive Ductal and Lobular Breast Cancer Cells
Chen, F., Ding, K., Priedigkeit, N., Elangovan, A., Levine, K. M., Carleton, N. M., Savariau, L., Atkinson, J. M., Oesterreich, S., & Lee, A. V. (2020) · Cancer Research · doi:10.1158/0008-5472.can-20-0696 · Cited by 48 · see citing works
Morris, J. S., Luthra, R., Liu, Y., Duose, D. Y., Lee, W., Reddy, N. G., Windham, J., Chen, H., Tong, Z., Zhang, B., et al. (2021) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-20-2403 · Cited by 36 · see citing works
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Mouillet-Richard, S., Cazelles, A., Sroussi, M., Gallois, C., Taieb, J., & Laurent-Puig, P. (2024) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-23-3964 · Cited by 43 · see citing works
Self-citationPeters, N. A., Constantinides, A., Ubink, I., van Kuik, J., Bloemendal, H. J., van Dodewaard, J. M., Brink, M. A., Schwartz, T. P., Lolkema, M. P. J. K., Lacle, M. M., et al. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2022.969855 · Cited by 35 · see citing works
Strating, E., Wassenaar, E., Verhagen, M., Rauwerdink, P., van Schelven, S., de Hingh, I., Rinkes, I. B., Boerma, D., Witkamp, A., Lacle, M., et al. (2022) · British Journal of Cancer · doi:10.1038/s41416-022-01748-z · Cited by 36 · see citing works
- Authors
- Marisa, L., Blum, Y., Taieb, J., Ayadi, M., Pilati, C., Le Malicot, K., Lepage, C., Salazar, R., Aust, D., Duval, A., Blons, H., Taly, V., Gentien, D., Rapinat, A., Selves, J., Mouillet-Richard, S., Boige, V., Emile, J.-F., de Reyniès, A., & Laurent-Puig, P.
- Affiliations
- 1Programme Cartes d'Identité des Tumeurs, Ligue Nationale Contre le Cancer, Paris, France.
- La Ligue Contre le Cancer (FR)
- 2Institut du cancer Paris CARPEM, AP-HP, European Georges Pompidou Hospital, Paris, France.
- Centre National de la Recherche Scientifique (FR)
- 4Fédération Francophone de Cancérologie Digestive, INSERM, Université de Bourgogne et Franche Comté, Dijon, France.
- Inserm (FR)
- 6Catalan Institute of Oncology (IDIBELL), Universitat de Barcelona, CIBERONC, Spanish Gastrointestinal Tumors TTD Group, Barcelona, Spain.
- University Hospital Carl Gustav Carus (DE)
- Université Paris Sciences et Lettres (FR)
- 10Centre de Recherche en Cancérologie de Toulouse, INSERM, Université Toulouse III, Department of Pathology, CHU Toulouse, Toulouse, France.
- 3Centre de Recherche des Cordeliers, INSERM, CNRS SNC 5096, Sorbonne Université, Université de Paris, Paris, France.
- Hôpital Ambroise-Paré (FR)
- ORCID
- Venue
- Clinical Cancer Research
- Published
- 2021-06-24
- Volume
- 27
- Issue
- 17
- Pages
- 4768-4780
- ISSN
- 1078-0432 (ISSN-L)
- 1557-3265
- PMC
- PMC8974433
- OpenAlex
- W3174644591
- Cited by
- 68
- References
- 37
- Citations by year
- 2026: 12 · 2025: 17 · 2024: 17 · 2023: 9 · 2022: 12 · 2021: 1
- FWCI
- 3.73
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Clinical Cancer Research (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- HAL (submittedVersion, cc-by-nc-nd)
- HAL (submittedVersion, other-oa)
- Funders
- SIRIC CARPEM (INCa-DGOS-Inserm_12561)
- ITMO CANCER (COCAHEMISCLE)
- Fédération Francophone de cancerologie digestive (FFCD)
- Ligue Contre le Cancer (CIT)
- Institut National Du Cancer (HETCOLI)
- Topics
- Health Sciences › Medicine › Oncology › Colorectal Cancer Treatments and Studies
- Health Sciences › Medicine › Pathology and Forensic Medicine › Genetic factors in colorectal cancer
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
- Keywords
- intratumoral heterogeneity, consensus molecular subtypes, colon cancer, transcriptomic heterogeneity, prognosis, disease-free survival, overall survival, colon cancer cell lines, single-cell transcriptomics, tumor plasticity, treatment resistance
- MeSH terms
- Aged, Colonic Neoplasms, Female, Humans, Male, Prognosis, Survival Rate, Gene Expression Profiling, Cell Line, Tumor, Tumor Microenvironment
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