Colorectal cancer consensus molecular subtypes translated to preclinical models uncover potentially targetable cancer cell dependencies
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Abstract
Purpose: Response to standard oncologic treatment is limited in colorectal cancer. The gene expression–based consensus molecular subtypes (CMS) provide a new paradigm for stratified treatment and drug repurposing; however, drug discovery is currently limited by the lack of translation of CMS to preclinical models. Experimental Design: We analyzed CMS in primary colorectal cancers, cell lines, and patient-derived xenografts (PDX). For classification of preclinical models, we developed an optimized classifier enriched for cancer cell–intrinsic gene expression signals, and performed high-throughput in vitro drug screening (n = 459 drugs) to analyze subtype-specific drug sensitivities. Results: The distinct molecular and clinicopathologic characteristics of each CMS group were validated in a single-hospital series of 409 primary colorectal cancers. The new, cancer cell–adapted classifier was found to perform well in primary tumors, and applied to a panel of 148 cell lines and 32 PDXs, these colorectal cancer models were shown to recapitulate the biology of the CMS groups. Drug screening of 33 cell lines demonstrated subtype-dependent response profiles, confirming strong response to EGFR and HER2 inhibitors in the CMS2 epithelial/canonical group, and revealing strong sensitivity to HSP90 inhibitors in cells with the CMS1 microsatellite instability/immune and CMS4 mesenchymal phenotypes. This association was validated in vitro in additional CMS-predicted cell lines. Combination treatment with 5-fluorouracil and luminespib showed potential to alleviate chemoresistance in a CMS4 PDX model, an effect not seen in a chemosensitive CMS2 PDX model. Conclusions: We provide translation of CMS classification to preclinical models and uncover a potential for targeted treatment repurposing in the chemoresistant CMS4 group. Clin Cancer Res; 24(4); 794–806. ©2017 AACR.
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HSP90, PAK2, and AKT3 have emerged as candidate targets from preclinical studies of CMS4 colorectal cancer.
“Other candidate targets have emerged from preclinical studies, including HSP90, combined with 5-FU (7), PAK2 (67) or AKT3 (42)”
From Clinical Challenges of Consensus Molecular Subtype CMS4 Colon Cancer in the Era of Precision Medicine (2024) · cites this paper as [7]
Luminespib combined with 5-FU reduced tumor growth in preclinical models of CMS4 colorectal cancer.
“| HSP90 | Luminespib + 5-FU | Reduced tumor growth | (7) |”
From Clinical Challenges of Consensus Molecular Subtype CMS4 Colon Cancer in the Era of Precision Medicine (2024) · cites this paper as [7]
Cites
Cancer incidence and mortality worldwide: Sources, methods and major patterns in GLOBOCAN 2012
Ferlay, J., Soerjomataram, I., Dikshit, R., Eser, S., Mathers, C., Rebelo, M., Parkin, D. M., Forman, D., & Bray, F. (2015) · International Journal of Cancer · doi:10.1002/ijc.29210 · Cited by 28,766 · see citing works
GSVA: gene set variation analysis for microarray and RNA-Seq data
Hänzelmann, S., Castelo, R., & Guinney, J. (2013) · BMC Bioinformatics · doi:10.1186/1471-2105-14-7 · Cited by 15,440 · see citing works
Self-citationPD-1 Blockade in Tumors with Mismatch-Repair Deficiency
Le, D. T., Uram, J. N., Wang, H., Bartlett, B. R., Kemberling, H., Eyring, A. D., Skora, A. D., Luber, B. S., Azad, N. S., Laheru, D., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1500596 · Cited by 9,377 · see citing works
Comprehensive molecular characterization of human colon and rectal cancer
The Cancer Genome Atlas Network (2012) · Nature · doi:10.1038/nature11252 · Cited by 8,499 · see citing works
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
Vogelstein, B., Papadopoulos, N., Velculescu, V. E., Zhou, S., Diaz, L. A., & Kinzler, K. W. (2013) · Science · doi:10.1126/science.1235122 · Cited by 7,863 · 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-citationSystematic Review of Microsatellite Instability and Colorectal Cancer Prognosis
Popat, S., Hubner, R. A., & Houlston, R. S. (2005) · Journal of Clinical Oncology · doi:10.1200/jco.2005.01.086 · Cited by 1,830 · 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
Stromal gene expression defines poor-prognosis subtypes in colorectal cancer
Calon, A., Lonardo, E., Berenguer-Llergo, A., Espinet, E., Hernando-Momblona, X., Iglesias, M., Sevillano, M., Palomo-Ponce, S., Tauriello, D. V. F., Byrom, D., et al. (2015) · Nature Genetics · doi:10.1038/ng.3225 · Cited by 1,070 · see citing works
Consensus molecular subtypes and the evolution of precision medicine in colorectal cancer
Dienstmann, R., Vermeulen, L., Guinney, J., Kopetz, S., Tejpar, S., & Tabernero, J. M. (2017) · Nature reviews. Cancer · doi:10.1038/nrc.2016.126 · Cited by 1,038 · see citing works
Self-citationMlecnik, B., Bindea, G., Angell, H. K., Maby, P., Angelova, M., Tougeron, D., Church, S. E., Lafontaine, L., Fischer, M., Fredriksen, T., et al. (2016) · Immunity · doi:10.1016/j.immuni.2016.02.025 · Cited by 1,034 · see citing works
A Big Bang model of human colorectal tumor growth
Sottoriva, A., Kang, H., Ma, Z., Graham, T. A., Salomon, M. P., Zhao, J., Marjoram, P., Siegmund, K. D., Press, M. F., Shibata, D. K., et al. (2015) · Nature Genetics · doi:10.1038/ng.3214 · Cited by 1,010 · see citing works
Sadanandam, A., Lyssiotis, C. A., Homicsko, K., Collisson, E. A., Gibb, W. J., Wullschleger, S., Ostos, L. C. G., Lannon, W. A., Grotzinger, C., Del Rio, M., et al. (2013) · Nature Medicine · doi:10.1038/nm.3175 · Cited by 960 · see citing works
Epigenetic and genetic features of 24 colon cancer cell lines
Ahmed, D., Eide, P. W., Eilertsen, I. A., Danielsen, S. A., Eknæs, M., Hektoen, M., Lind, G. E., & Lothe, R. A. (2013) · Oncogenesis · doi:10.1038/oncsis.2013.35 · Cited by 913 · see citing works
Self-citationOn testing the significance of sets of genes
Efron, B., & Tibshirani, R. J. (2007) · The Annals of Applied Statistics · doi:10.1214/07-aoas101 · Cited by 785 · see citing works
De Sousa E Melo, F., Wang, X., Jansen, M., Fessler, E., Trinh, A., de Rooij, L. P. M. H., de Jong, J. H., de Boer, O. J., van Leersum, R., Bijlsma, M. F., et al. (2013) · Nature Medicine · doi:10.1038/nm.3174 · Cited by 771 · see citing works
Mendillo, M. L., Santagata, S., Koeva, M., Bell, G. W., Hu, R., Tamimi, R. M., Fraenkel, E., Ince, T. A., Whitesell, L. J., & Lindquist, S. L. (2012) · Cell · doi:10.1016/j.cell.2012.06.031 · Cited by 696 · see citing works
A comprehensive transcriptional portrait of human cancer cell lines
Klijn, C. N., Durinck, S., Stawiski, E. W., Haverty, P. M., Jiang, Z., Liu, H., Degenhardt, J. D., Mayba, O., Gnad, F., Liu, J., et al. (2014) · Nature Biotechnology · doi:10.1038/nbt.3080 · Cited by 650 · see citing works
Stromal contribution to the colorectal cancer transcriptome
Isella, C., Terrasi, A., Bellomo, S. E., Petti, C., Galatola, G., Muratore, A., Mellano, A., Senetta, R., Cassenti, A., Sonetto, C., et al. (2015) · Nature Genetics · doi:10.1038/ng.3224 · Cited by 640 · 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
Resistance to anti-EGFR therapy in colorectal cancer: From heterogeneity to convergent evolution
Misale, S., Di Nicolantonio, F., Sartore-Bianchi, A., Siena, S., & Bardelli, A. (2014) · Cancer Discovery · doi:10.1158/2159-8290.cd-14-0462 · Cited by 513 · cited 1× · see citing works
“This heterogeneity confers primary or secondary resistance to targeted treatments (7) and represents a major challenge for precise interpretation of prognostic and predictive markers (8).”
BackgroundGene expression patterns unveil a new level of molecular heterogeneity in colorectal cancer
Budínská, E., Popovici, V. C., Tejpar, S., D’Ario, G., Lapique, N., Sikora, K. O., Narzo, A. F. D., Yan, P., Hodgson, J., Weinrich, S. L., et al. (2013) · The Journal of Pathology · doi:10.1002/path.4212 · Cited by 409 · see citing works
Hoshida, Y. (2010) · PLoS ONE · doi:10.1371/journal.pone.0015543 · Cited by 382 · see citing works
Multi-omics of 34 colorectal cancer cell lines - a resource for biomedical studies
Berg, K. C. G., Eide, P. W., Eilertsen, I. A., Johannessen, B., Bruun, J., Danielsen, S. A., Bjørnslett, M., Meza‐Zepeda, L. A., Eknæs, M., Lind, G. E., et al. (2017) · Molecular Cancer · doi:10.1186/s12943-017-0691-y · Cited by 382 · see citing works
Self-citationMouradov, D., Sloggett, C., Jorissen, R. N., Love, C. G., Li, S., Burgess, A. W., Arango, D., Strausberg, R. L., Buchanan, D., Wormald, S., et al. (2014) · Cancer Research · doi:10.1158/0008-5472.can-14-0013 · Cited by 375 · see citing works
Julien-Grille, S., Merino‐Trigo, A., Lacroix, L., Pocard, M. D., Goèré, D., Mariani, P., Landron, S., Bigot, L., Némati, F., Dartigues, P., et al. (2012) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-12-0372 · Cited by 360 · see citing works
Yadav, B., Pemovska, T., Szwajda, A., Kulesskiy, E., Kontro, M., Karjalainen, R., Majumder, M. M., Malani, D., Murumägi, A., Knowles, J., et al. (2014) · Scientific Reports · doi:10.1038/srep05193 · Cited by 350 · see citing works
Self-citationPersonalizing Colon Cancer Adjuvant Therapy: Selecting Optimal Treatments for Individual Patients
Dienstmann, R., Salazar, R., & Tabernero, J. M. (2015) · Journal of Clinical Oncology · doi:10.1200/jco.2014.60.0213 · Cited by 345 · see citing works
Self-citationRoepman, P., Schlicker, A., Tabernero, J. M., Majewski, I. J., Tian, S., Moreno, V. R., Snel, M. H. J., Chresta, C. M., Rosenberg, R., Nitsche, U., et al. (2013) · International Journal of Cancer · doi:10.1002/ijc.28387 · Cited by 341 · see citing works
Self-citationSchütte, M., Risch, T., Abdavi-Azar, N., Boehnke, K., Schumacher, D., Keil, M., Yildirimman, R., Jandrasits, C., Borodina, T. A., Amstislavskiy, V. S., et al. (2017) · Nature Communications · doi:10.1038/ncomms14262 · Cited by 333 · 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
Colorectal Cancer Heterogeneity and Targeted Therapy: A Case for Molecular Disease Subtypes
Linnekamp, J. F., Wang, X., Medema, J. P., & Vermeulen, L. (2015) · Cancer Research · doi:10.1158/0008-5472.can-14-2240 · Cited by 202 · see citing works
Trinh, A., Trumpi, K., De Sousa E Melo, F., Wang, X., de Jong, J. H., Fessler, E., Kuppen, P. J. K., Reimers, M. S., Swets, M., Koopman, M., et al. (2017) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-16-0680 · Cited by 180 · see citing works
Song, N., Pogue–Geile, K. L., Gavin, P. G., Yothers, G., Kim, S. R., Johnson, N. L., Lipchik, C., Allegra, C. J., Petrelli, N. J., O’Connell, M. J., et al. (2016) · JAMA Oncology · doi:10.1001/jamaoncol.2016.2314 · Cited by 172 · see citing works
Nishida, N., Nagahara, M., Sato, T., Mimori, K., Sudo, T., Tanaka, F., Shibata, K., Ishii, H., Sugihara, K., Doki, Y., et al. (2012) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-11-1078 · Cited by 167 · see citing works
Revisiting tumour aneuploidy — the place of ploidy assessment in the molecular era
Danielsen, H. E., Pradhan, M., & Novelli, M. R. (2015) · Nature Reviews Clinical Oncology · doi:10.1038/nrclinonc.2015.208 · Cited by 161 · see citing works
Effects of microsatellite instability on recurrence patterns and outcomes in colorectal cancers
Kim, C. G., Ahn, J. B., Jung, M., Beom, S., Kim, C., Kim, J. H., Heo, S. J., Park, H. S., Kim, J. H., Kim, N. K., et al. (2016) · British Journal of Cancer · doi:10.1038/bjc.2016.161 · Cited by 160 · see citing works
Puig, I., Chicote, I., Tenbaum, S. P., Arqués, O., Herance, J. R., Gispert, J. D., Jimenez, J., Landolfi, S., Caci, K., Allende, H., et al. (2013) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-12-1740 · Cited by 87 · see citing works
Self-citationThe HSP90 inhibitor ganetespib has chemosensitizer and radiosensitizer activity in colorectal cancer
He, S., Smith, D. L., Sequeira, M., Sang, J., Bates, R. C., & Proia, D. A. (2014) · Investigational New Drugs · doi:10.1007/s10637-014-0095-4 · Cited by 71 · see citing works
Sveen, A., Løes, I. M., Alagaratnam, S., Nilsen, G., Høland, M., Lingjærde, O. C., Sørbye, H., Berg, K. C. G., Horn, A., Angelsen, J., et al. (2016) · PLoS Genetics · doi:10.1371/journal.pgen.1006225 · Cited by 70 · see citing works
Self-citationNagaraju, G. P., Alese, O. B., Landry, J. C., Díaz, R., & El‐Rayes, B. F. (2014) · Oncotarget · doi:10.18632/oncotarget.2484 · Cited by 69 · see citing works
Fessler, E., Jansen, M., Melo, F. D. S. E., Zhao, L., Prasetyanti, P. R., Rodermond, H. M., Kandimalla, R., Linnekamp, J. F., Franitza, M., van Hooff, S. R., et al. (2016) · Oncogene · doi:10.1038/onc.2016.134 · Cited by 54 · see citing works
Mechanisms of Resistance to Hsp90 Inhibitor Drugs: A Complex Mosaic Emerges
Piper, P. W., & Millson, S. H. (2011) · Pharmaceuticals · doi:10.3390/ph4111400 · Cited by 53 · see citing works
Cercek, A., Shia, J., Gollub, M. J., et al. (2014) · Clinical Colorectal Cancer · doi:10.1016/j.clcc.2014.09.001 · Cited by 49 · see citing works
Effects of treatment with an Hsp90 inhibitor in tumors based on 15 phase II clinical trials
Wang, H., Lu, M., Yao, M., & Zhu, W. (2016) · Molecular and Clinical Oncology · doi:10.3892/mco.2016.963 · Cited by 46 · see citing works
Bendell, J. C., Jones, S. F., Hart, L. L., et al. (2015) · Cancer Investigation · doi:10.3109/07357907.2015.1069834 · Cited by 20 · see citing works
Perez, K. J., Walsh, R. J., Brilliant, K. E., Noble, L. C., Yakirevich, E., Breese, V., Jackson, C. L., Chatterjee, D. N., Pricolo, V. E., Roth, L. A., et al. (2013) · Experimental and Molecular Pathology · doi:10.1016/j.yexmp.2013.01.004 · Cited by 15 · see citing works
McNamara, A., Barclay, M., Watson, A. J. M., et al. (2011) · Biochemical Pharmacology · doi:10.1016/j.bcp.2011.11.017 · Cited by 8 · see citing works
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Self-citationten Hoorn, S., de Back, T. R., Sommeijer, D. W., & Vermeulen, L. (2022) · JNCI: Journal of the National Cancer Institute · doi:10.1093/jnci/djab106 · Cited by 203 · see citing works
Azwar, S., Seow, H. F., Abdullah, M., Faisal Jabar, M., & Mohtarrudin, N. (2021) · Biology · doi:10.3390/biology10090854 · Cited by 173 · see citing works
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Eide, P. W., Moosavi, S. H., Eilertsen, I. A., Brunsell, T. H., Langerud, J., Berg, K. C. G., Røsok, B. I., Bjørnbeth, B. A., Nesbakken, A., Lothe, R. A., et al. (2021) · npj Genomic Medicine · doi:10.1038/s41525-021-00223-7 · Cited by 70 · see citing works
Self-citationLe Corre, D., Ghazi, A., Balogoun, R., Pilati, C., Aparicio, T., Martin-Lannerée, S., Marisa, L., Djouadi, F., Poindessous, V., Crozet, C., et al. (2019) · eBioMedicine · doi:10.1016/j.ebiom.2019.07.036 · Cited by 48 · see citing works
Patient-derived tumor models: a more suitable tool for pre-clinical studies in colorectal cancer
Rizzo, G., Bertotti, A., Leto, S. M., & Vetrano, S. (2021) · Journal of Experimental & Clinical Cancer Research · doi:10.1186/s13046-021-01970-2 · Cited by 51 · see citing works
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
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Buikhuisen, J. Y., Gomez Barila, P. M., Torang, A., Dekker, D., de Jong, J. H., Cameron, K., Vitale, S., Stassi, G., van Hooff, S. R., Castro, M. A. A., et al. (2021) · Cancers · doi:10.3390/cancers13040801 · Cited by 33 · see citing works
Bastin, J., Sroussi, M., Nemazanyy, I., Laurent-Puig, P., Mouillet-Richard, S., & Djouadi, F. (2023) · Journal of Translational Medicine · doi:10.1186/s12967-023-04341-x · Cited by 24 · see citing works
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Arai, H., Millstein, J., Loupakis, F., Stintzing, S., Wang, J., Battaglin, F., Kawanishi, N., Jayachandran, P., Soni, S., Zhang, W., et al. (2021) · European Journal of Cancer · doi:10.1016/j.ejca.2021.03.048 · Cited by 2 · see citing works
- Authors
- Sveen, A., Bruun, J., Eide, P. W., Eilertsen, I. A., Ramirez, L., Murumägi, A., Arjama, M., Danielsen, S. A., Kryeziu, K., Elez, E., Tabernero, J., Guinney, J., Palmer, H. G., Nesbakken, A., Kallioniemi, O., Dienstmann, R., & Lothe, R. A.
- Affiliations
- Oslo University Hospital (NO)
- Universitat Autònoma de Barcelona (ES)
- University of Helsinki (FI)
- 4Vall d'Hebron University Hospital and Institute of Oncology (VHIO), Universitat Autònoma de Barcelona, CIBERONC, Barcelona, Spain.
- Sage Bionetworks (US)
- Corresponding author
- Lothe, Ragnhild A.
- ORCID
- Venue
- Clinical Cancer Research
- Published
- 2018-02-14
- Volume
- 24
- Issue
- 4
- Pages
- 794-806
- ISSN
- 1078-0432 (ISSN-L)
- 1557-3265
- OpenAlex
- W2771952185
- Cited by
- 256
- References
- 50
- Citations by year
- 2026: 23 · 2025: 12 · 2024: 19 · 2023: 36 · 2022: 32 · 2021: 48 · 2020: 38 · 2019: 31 · 2018: 17
- FWCI
- 10.37
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- other-oa
- Locations
- Clinical Cancer Research (publishedVersion)
- PubMed (publishedVersion)
- Työväentutkimus Vuosikirja (submittedVersion, other-oa)
- Funders
- Kreftforeningen (Norwegian Cancer Society) (6824048-2016, 182759-2016)
- Ministry of Health and Care Services | Helse Sør-Øst RHF (Southern and Eastern Norway Regional Health Authority)
- Stiftelsen Kristian Gerhard Jebsen (Stiftelsen KGJ)
- Research Council of Norway (250993)
- Merck KGaA
- European Union Seventh Framework Programme (609020)
- Topics
- Health Sciences › Medicine › Oncology › Colorectal Cancer Treatments and Studies
- Health Sciences › Medicine › Pathology and Forensic Medicine › Genetic factors in colorectal cancer
- Health Sciences › Medicine › Oncology › Cancer Cells and Metastasis
- Keywords
- colorectal cancer, consensus molecular subtypes, patient-derived xenografts, drug repurposing, drug sensitivity profiling, Hsp90 inhibitors, EGFR inhibitors, HER2 inhibitors, microsatellite instability, mesenchymal phenotype, chemoresistance, 5-fluorouracil, combination therapy
- MeSH terms
- Animals, Antineoplastic Combined Chemotherapy Protocols, Cell Survival, Fluorouracil, Humans, Isoxazoles, Mice, Nude, Resorcinols, Biomarkers, Tumor, Colorectal Neoplasms, Gene Expression Regulation, Neoplastic, Mice, SCID, Gene Expression Profiling, Xenograft Model Antitumor Assays, Consensus, Cell Line, Tumor
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