Single-cell and bulk transcriptome sequencing identifies two epithelial tumor cell states and refines the consensus molecular classification of colorectal cancer
Open accessAbstract
The consensus molecular subtype (CMS) classification of colorectal cancer is based on bulk transcriptomics. The underlying epithelial cell diversity remains unclear. We analyzed 373,058 single-cell transcriptomes from 63 patients, focusing on 49,155 epithelial cells. We identified a pervasive genetic and transcriptomic dichotomy of malignant cells, based on distinct gene expression, DNA copy number and gene regulatory network. We recapitulated these subtypes in bulk transcriptomes from 3,614 patients. The two intrinsic subtypes, iCMS2 and iCMS3, refine CMS. iCMS3 comprises microsatellite unstable (MSI-H) cancers and one-third of microsatellite-stable (MSS) tumors. iCMS3 MSS cancers are transcriptomically more similar to MSI-H cancers than to other MSS cancers. CMS4 cancers had either iCMS2 or iCMS3 epithelium; the latter had the worst prognosis. We defined the intrinsic epithelial axis of colorectal cancer and propose a refined ‘IMF’ classification with five subtypes, combining intrinsic epithelial subtype (I), microsatellite instability status (M) and fibrosis (F).
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The majority of CMS4 tumours can be grouped into one of two major intrinsic CMS (iCMS) subtypes defined by distinct gene expression, DNA copy number and gene regulatory network.
“revealed that the majority CMS4 tumours could be grouped into one of the two major iCMS subtypes, defined by a distinct gene expression, DNA copy number and gene regulatory network.”
From Current and emerging concepts for systemic treatment of metastatic colorectal cancer (2025) · cites this paper as [124]
A subset of fibrotic tumours in the iCMS2 and iCMS3 group expresses high levels of fibroblast, endothelial and immune-specific genes.
“Therefore, a subset of fibrotic tumours in the iCMS2 and iCMS3 group is expressing high levels of fibroblast, endothelial and immune-specific genes,”
From Current and emerging concepts for systemic treatment of metastatic colorectal cancer (2025) · cites this paper as [124]
iCMS2 and iCMS3 are genetically distinct, but independent of those genetic profiles some tumours develop fibrotic stromal signatures resulting in CMS4-like tumours.
“indicating that iCMS2 and iCMS3 are genetically distinct, but independent of those genetic profiles some tumours develop fibrotic stromal signatures resulting in CMS4-like tumours.”
From Current and emerging concepts for systemic treatment of metastatic colorectal cancer (2025) · cites this paper as [124]
Cancer cells from CMS4 colorectal cancer reside in either a fibrotic intrinsic CMS2 (iCMS2) or iCMS3 state according to the type of lesion: TA-type CMS4 correspond to the iCMS2-F class, while SSL-type CMS4 correspond to the iCMS3-F class.
“According to the single-cell study by Joanito and colleagues (14), cancer cells from CMS4 colorectal cancer reside in either a fibrotic intrinsic CMS2 (iCMS2) or iCMS3 state according to the type of lesion: TA-type CMS4 correspond to the iCMS2-F class (F standing for fibrotic), while SSL-type CMS4 correspond to the iCMS3-F class.”
From Clinical Challenges of Consensus Molecular Subtype CMS4 Colon Cancer in the Era of Precision Medicine (2024) · cites this paper as [14]
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Cites
Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
Love, M. I., Huber, W., & Anders, S. (2014) · Genome Biology · doi:10.1186/s13059-014-0550-8 · Cited by 95,106 · see citing works
Integrated analysis of multimodal single-cell data
Hao, Y., Hao, S., Andersen-Nissen, E., Mauck, W. M., Zheng, S., Butler, A., Lee, M. J., Wilk, A. J., Darby, C., Zagar, M., et al. (2020) · doi:10.1101/2020.10.12.335331 · Cited by 15,508 · see citing works
Inferring tumour purity and stromal and immune cell admixture from expression data
Yoshihara, K., Shahmoradgoli, M., Martínez, E., Vegesna, R., Kim, H., Torres-Garcia, W., Treviño, V., Shen, H., Laird, P. W., Levine, D. A., et al. (2013) · Nature Communications · doi:10.1038/ncomms3612 · Cited by 9,778 · see citing works
Scenic: single-cell regulatory network inference and clustering.
Aibar, S., González-Blas, C. B., Moerman, T., Huynh-Thu, V. A., Imrichova, H., Hulselmans, G., Rambow, F., Marine, J.-C., Geurts, P., Aerts, J., et al. (2017) · Nature Methods · doi:10.1038/nmeth.4463 · Cited by 6,520 · 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-citationSensitive detection of somatic point mutations in impure and heterogeneous cancer samples
Cibulskis, K., Lawrence, M. S., Carter, S. L., Sivachenko, A., Jaffe, D. B., Sougnez, C. L., Gabriel, S., Meyerson, M. M., Lander, E. S., & Getz, G. A. (2013) · Nature Biotechnology · doi:10.1038/nbt.2514 · Cited by 4,838 · see citing works
VarScan 2: Somatic mutation and copy number alteration discovery in cancer by exome sequencingPreprint
Koboldt, D. C., Zhang, Q., Larson, D. E., Shen, D., McLellan, M. D., Lin, L., Miller, C. A., Mardis, E. R., Ding, L., & Wilson, R. K. (2012) · Genome Research · doi:10.1101/gr.129684.111 · Cited by 4,822 · see citing works
McGinnis, C. S., Murrow, L. M., & Gartner, Z. J. (2019) · Cell Systems · doi:10.1016/j.cels.2019.03.003 · Cited by 4,521 · see citing works
Haplotype-based variant detection from short-read sequencing
Garrison, E., & Marth, G. (2012) · arXiv · doi:10.48550/arxiv.1207.3907 · Cited by 3,700 · see citing works
NicheNet: Modeling intercellular communication by linking ligands to target genes
Browaeys, R., Saelens, W., & Saeys, Y. (2020) · Nature Methods · doi:10.1038/s41592-019-0667-5 · Cited by 2,192 · see citing works
CNVkit: Genome-Wide Copy Number Detection and Visualization from Targeted DNA Sequencing
Talevich, E., Shain, A. H., Botton, T., & Bastian, B. C. (2016) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1004873 · Cited by 2,057 · see citing works
Genetic instability in colorectal cancers
Lengauer, C., Kinzler, K. W., & Vogelstein, B. (1997) · Nature · doi:10.1038/386623a0 · Cited by 1,995 · see citing works
Rouillard, A. D., Gundersen, G. W., Fernandez, N. F., Wang, Z., Monteiro, C. D., McDermott, M. G., & Ma’ayan, A. (2016) · Database · doi:10.1093/database/baw100 · Cited by 1,515 · see citing works
Immune checkpoint signaling and cancer immunotherapy
He, X., & Xu, C. (2020) · Cell Research · doi:10.1038/s41422-020-0343-4 · Cited by 1,384 · see citing works
Allele-specific copy number analysis of tumors
Loo, P. V., Nord, S., Lingjærde, O. C., Russnes, H. G., Rye, I. H., Sun, W., Weigman, V., Marynen, P., Zetterberg, A., Naume, B., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1009843107 · Cited by 1,231 · see citing works
The MAPK signalling pathways and colorectal cancer
Fang, J. Y., & Richardson, B. C. (2005) · The Lancet Oncology · doi:10.1016/s1470-2045(05)70168-6 · Cited by 1,185 · see citing works
Li, H., Courtois, E. T., Sengupta, D., Tan, Y., Chen, K. H., Goh, J. J. L., Kong, S. L., Chua, C., Hon, L. K., Tan, W. S., et al. (2017) · Nature Genetics · doi:10.1038/ng.3818 · Cited by 1,080 · see citing works
Self-citationDependency of Colorectal Cancer on a TGF-β-Driven Program in Stromal Cells for Metastasis Initiation
Calon, A., Espinet, E., Palomo-Ponce, S., Tauriello, D. V. F., Iglesias, M., Céspedes, M. V., Sevillano, M., Nadal, C., Jung, P., Zhang, X. H.-F., et al. (2012) · Cancer Cell · doi:10.1016/j.ccr.2012.08.013 · Cited by 1,060 · 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-citationVarDict: a novel and versatile variant caller for next-generation sequencing in cancer research
Lai, Z., Markovets, A. A., Ahdesmaki, M. J., Chapman, B., Hofmann, O., McEwen, R. K., Johnson, J., Dougherty, B. A., Barrett, J. C., & Dry, J. R. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw227 · Cited by 971 · 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
Self-citationSpatially organized multicellular immune hubs in human colorectal cancer
Pelka, K., Hofree, M., Chen, J. H., Sarkizova, S., Pirl, J. D., Jorgji, V., Bejnood, A., Dionne, D. A., Ge, W. H., Xu, K. H., et al. (2021) · Cell · doi:10.1016/j.cell.2021.08.003 · Cited by 902 · see citing works
Harnessing Connectivity in a Large-Scale Small-Molecule Sensitivity Dataset
Seashore-Ludlow, B., Rees, M. G., Cheah, J. H., Cokol, M., Price, E. V., Coletti, M. E., Jones, V., Bodycombe, N. E., Soule, C. K., Gould, J., et al. (2015) · Cancer Discovery · doi:10.1158/2159-8290.cd-15-0235 · Cited by 813 · 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
Li, J., Byrne, K. T., Yan, F., Yamazoe, T., Chen, Z., Baslan, T., Richman, L. P., Lin, J., Sun, Y. H., Rech, A. J., et al. (2018) · Immunity · doi:10.1016/j.immuni.2018.06.006 · Cited by 738 · see citing works
A neoantigen fitness model predicts tumor response to checkpoint blockade immunotherapy
Łuksza, M., Riaz, N., Makarov, V., Balachandran, V., Hellmann, M., Solovyov, A., Rizvi, N., Merghoub, T., Levine, A., Chan, T., et al. (2017) · Nature · doi:10.1038/nature24473 · Cited by 624 · see citing works
Pathways of Colorectal Carcinogenesis
Nguyen, L. H., Goel, A., & Chung, D. C. (2020) · Gastroenterology · doi:10.1053/j.gastro.2019.08.059 · Cited by 606 · 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
EPIC: A Tool to Estimate the Proportions of Different Cell Types from Bulk Gene Expression Data
Racle, J., & Gfeller, D. (2020) · Methods in molecular biology · doi:10.1007/978-1-0716-0327-7_17 · Cited by 550 · see citing works
Genetic Mechanisms of Immune Evasion in Colorectal Cancer
Grasso, C. S., Giannakis, M., Wells, D. K., Hamada, T., Mu, X. J., Quist, M., Nowak, J. A., Nishihara, R., Qian, Z. R., Inamura, K., et al. (2018) · Cancer Discovery · doi:10.1158/2159-8290.cd-17-1327 · Cited by 535 · see citing works
Mutations and mechanisms of WNT pathway tumour suppressors in cancer
Bugter, J. M., Fenderico, N., & Maurice, M. M. (2021) · Nature Reviews Cancer · doi:10.1038/s41568-020-00307-z · Cited by 466 · see citing works
A model for RAS mutation patterns in cancers: finding the sweet spot
Li, S., Balmain, A., & Counter, C. M. (2018) · Nature Reviews Cancer · doi:10.1038/s41568-018-0076-6 · Cited by 384 · see citing works
Schütte, 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
Chen, B., Scurrah, C. R., McKinley, E. T., Simmons, A. J., Ramirez-Solano, M. A., Zhu, X., Markham, N. O., Heiser, C. N., Vega, P. N., Rolong, A., et al. (2021) · Cell · doi:10.1016/j.cell.2021.11.031 · Cited by 328 · see citing works
IL-1β promotes stemness and invasiveness of colon cancer cells through Zeb1 activation
Li, Y., Wang, L., Pappan, L. K., Galliher-Beckley, A. J., & Shi, J. N. (2012) · Molecular Cancer · doi:10.1186/1476-4598-11-87 · Cited by 319 · see citing works
Wnt/Beta-Catenin/Tcf Signaling: A Critical Pathway in Gastrointestinal Tumorigenesis
Kolligs, F. T., Bommer, G. T., & Göke, B. (2002) · Digestion · doi:10.1159/000066755 · Cited by 312 · see citing works
Isella, C., Brundu, F. G., Bellomo, S. E., Galimi, F., Zanella, E. R., Porporato, R., Petti, C., Fiori, A., Orzan, F., Senetta, R., et al. (2017) · Nature Communications · doi:10.1038/ncomms15107 · Cited by 298 · see citing works
Predicting cell-to-cell communication networks using NATMI
Hou, R., Denisenko, E., Ong, H. T., Ramilowski, J. A., & Forrest, A. R. R. (2020) · Nature Communications · doi:10.1038/s41467-020-18873-z · Cited by 285 · see citing works
The Intestinal Stem Cell Niche: Homeostasis and Adaptations
Santos, A. J. M., Lo, Y., Mah, A. T., & Kuo, C. J. (2018) · Trends in Cell Biology · doi:10.1016/j.tcb.2018.08.001 · Cited by 277 · see citing works
TissueEnrich: Tissue-specific gene enrichment analysis
Jain, A., & Tuteja, G. (2018) · Bioinform. · doi:10.1093/bioinformatics/bty890 · Cited by 268 · see citing works
NOTUM from Apc-mutant cells biases clonal competition to initiate cancer
Flanagan, D. J., Pentinmikko, N., Luopajärvi, K., Willis, N. J., Gilroy, K., Raven, A. P., Mcgarry, L., Englund, J. I., Webb, A. T., Scharaw, S., et al. (2021) · Nature · doi:10.1038/s41586-021-03525-z · Cited by 255 · see citing works
Targeting Oncogenic BRAF: Past, Present, and Future
Zaman, A., Wu, W., & Bivona, T. G. (2019) · Cancers · doi:10.3390/cancers11081197 · Cited by 246 · see citing works
Identification of a Poor-PrognosisBRAF-Mutant–Like Population of Patients With Colon Cancer
Popovici, V. C., Budínská, E., Tejpar, S., Weinrich, S. L., Estrella, H., Hodgson, G., Cutsem, E. V., Xie, T., Bosman, F. T., Roth, A. D., et al. (2012) · Journal of Clinical Oncology · doi:10.1200/jco.2011.39.5814 · Cited by 232 · see citing works
Self-citationBRAF V600E Mutant Colorectal Cancer Subtypes Based on Gene Expression
Barras, D., Missiaglia, E., Wirapati, P., Sieber, O. M., Jorissen, R. N., Love, C., Molloy, P. L., Jones, I. T., McLaughlin, S., Gibbs, P., et al. (2016) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-16-0140 · Cited by 229 · see citing works
Self-citationApc-mutant cells act as supercompetitors in intestinal tumour initiation
van Neerven, S. M., de Groot, N. E., Nijman, L. E., Scicluna, B. P., van Driel, M. S., Lecca, M. C., Warmerdam, D. O., Kakkar, V., Moreno, L. F., Vieira Braga, F. A., et al. (2021) · Nature · doi:10.1038/s41586-021-03558-4 · Cited by 211 · see citing works
ten 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
Mesenchymal Cells in Colon Cancer
Koliaraki, V., Pallangyo, C. K., Greten, F. R., & Kollias, G. A. (2017) · Gastroenterology · doi:10.1053/j.gastro.2016.11.049 · Cited by 196 · see citing works
Immunotherapy for Colorectal Cancer: A Review of Current and Novel Therapeutic Approaches
Franke, A. J., Skelton, W. P., Starr, J. S., Parekh, H. D., Lee, J. J., Overman, M. J., Allegra, C. J., & George, T. J. (2019) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/djz093 · Cited by 184 · see citing works
Christie, M., Jorissen, R. N., Mouradov, D., Sakthianandeswaren, A., Li, S., Day, F. L., Tsui, C. S., Lipton, L. R., Desai, J., Jones, I. T., et al. (2012) · Oncogene · doi:10.1038/onc.2012.486 · Cited by 152 · see citing works
TGF-β Signaling Alterations and Colon Cancer
Bellam, N., & Pasche, B. (2010) · Cancer treatment and research · doi:10.1007/978-1-4419-6033-7_5 · Cited by 151 · see citing works
Clinical relevance of colorectal cancer molecular subtypes
Rodrı́guez-Salas, N., Dominguez, G., Barderas, R., Mendiola, M., García‐Albéniz, X., Maurel, J., & Batlle, J. F. (2016) · Critical Reviews in Oncology/Hematology · doi:10.1016/j.critrevonc.2016.11.007 · Cited by 145 · see citing works
Tian, S., Simon, I., Moreno, V., Roepman, P., Tabernero, J., Snel, M., van't Veer, L., Salazar, R., Bernards, R., & Capella, G. (2013) · Gut · doi:10.1136/gutjnl-2012-302423 · Cited by 128 · see citing works
Deciphering cellular states of innate tumor drug responses
Graudens, E., Boulanger, V., Mollard, C., Mariage, R., Barlet, X., Grémy, G., Couillault, C., Lajémi, M., Piatier‐Tonneau, D., Zaborski, P., et al. (2006) · Genome biology · doi:10.1186/gb-2006-7-3-r19 · Cited by 127 · see citing works
Molecular-Subtype-Specific Biomarkers Improve Prediction of Prognosis in Colorectal Cancer
Bramsen, J. B., Rasmussen, M. H., Ongen, H., Mattesen, T. B., Ørntoft, M. W., Árnadóttir, S. S., Sandoval, J., Laguna, T., Vang, S., Øster, B., et al. (2017) · Cell Reports · doi:10.1016/j.celrep.2017.04.045 · Cited by 108 · see citing works
Wu, J. Q., Seay, M., Schulz, V., Hariharan, M., Tuck, D. P., Lian, J., Du, J., Shi, M., Ye, Z., Gerstein, M., et al. (2012) · PLoS Genetics · doi:10.1371/journal.pgen.1002565 · Cited by 107 · see citing works
Nichols, C. A., Gibson, W. J., Brown, M. S., Kosmicki, J. A., Busanovich, J. P., Wei, H. Y., Urbanski, L. M., Currimjee, N., Berger, A. C., Gao, G. F., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-16399-y · Cited by 103 · see citing works
PurBayes: estimating tumor cellularity and subclonality in next-generation sequencing data
Larson, N. B., & Fridley, B. L. (2013) · Bioinformatics · doi:10.1093/bioinformatics/btt293 · Cited by 100 · see citing works
Pek, M., Yatim, S. M. J. M., Chen, Y., Li, J., Gong, M., Jiang, X., Zhang, F., Zheng, J., Wu, X., & Yu, Q. (2017) · Oncogene · doi:10.1038/onc.2017.120 · Cited by 86 · see citing works
Oncogenic BRAF, unrestrained by TGFβ-receptor signalling, drives right-sided colonic tumorigenesis
Leach, J. D. G., Vlahov, N., Tsantoulis, P. K., Ridgway, R. A., Flanagan, D. J., Gilroy, K. L., Sphyris, N., Vázquez, E. G., Vincent, D. F., Faller, W. J., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-23717-5 · Cited by 83 · see citing works
Self-citationRanjan, B., Sun, W., Park, J., Mishra, K., Schmidt, F., Xie, R., Alipour, F., Singhal, V., Joanito, I., Honardoost, M. A., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-26085-2 · Cited by 80 · see citing works
Self-citationPan-Cancer Analysis of Ligand–Receptor Cross-talk in the Tumor Microenvironment
Ghoshdastider, U., Rohatgi, N., Naeini, M. M., Baruah, P., Revkov, E., Guo, Y. A., Rizzetto, S., Wong, A. M. L., Solai, S., Nguyen, T. T., et al. (2021) · Cancer Research · doi:10.1158/0008-5472.can-20-2352 · Cited by 78 · see citing works
Self-citationKleeman, S. O., Koelzer, V. H., Jones, H. J. S., Vázquez, E. G., Belnoue-Davis, H. L., East, J. E., Arnold, R. R., Koppens, M. A. J., Blake, A., Domingo, E., et al. (2019) · Gut · doi:10.1136/gutjnl-2019-319126 · Cited by 73 · see citing works
Bao, L., Pu, M., & Messer, K. S. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btt759 · Cited by 72 · see citing works
Knuchel, S., Anderle, P., Werffeli, P., Diamantis, E. K., & Rüegg, C. (2015) · Oncotarget · doi:10.18632/oncotarget.3883 · Cited by 69 · see citing works
Watanabe, T., Kobunai, T., Yamamoto, Y., Matsuda, K., Ishihara, S., Nozawa, K., Iinuma, H., Ikeuchi, H., & Eshima, K. (2011) · European Journal of Cancer · doi:10.1016/j.ejca.2011.03.029 · Cited by 59 · see citing works
De novo compartment deconvolution and weight estimation of tumor samples using DECODER
Peng, X. L., Moffitt, R. A., Torphy, R. J., Volmar, K. E., & Yeh, J. J. (2019) · Nature Communications · doi:10.1038/s41467-019-12517-7 · Cited by 56 · see citing works
β-Catenin signaling dosage dictates tissue-specific tumor predisposition in Apc-driven cancer
Bakker, E. R. M., Hoekstra, E., Franken, P., Helvensteijn, W., van Deurzen, C. H. M., van Veelen, W., Kuipers, E. J., & Smits, R. (2012) · Oncogene · doi:10.1038/onc.2012.449 · Cited by 39 · see citing works
Chr20q Amplification Defines a Distinct Molecular Subtype of Microsatellite Stable Colorectal Cancer
Zhang, B., Yao, K., Zhou, E., Zhang, L., & Cheng, C. (2021) · Cancer Research · doi:10.1158/0008-5472.can-20-4009 · Cited by 38 · see citing works
SMuRF: portable and accurate ensemble prediction of somatic mutations
Huang, W., Guo, Y. A., Muthukumar, K. M., et al. (2019) · Bioinformatics · doi:10.1093/bioinformatics/btz018 · Cited by 33 · see citing works
Self-citationTong, M., Zheng, W., Lu, X., Ao, L., Li, X., Guan, Q., Cai, H., Li, M., Yan, H., Guo, Y., et al. (2015) · Oncotarget · doi:10.18632/oncotarget.5649 · Cited by 24 · see citing works
Self-citationPublisher Correction: Allele-defined genome of the autopolyploid sugarcane Saccharum spontaneum L
Zhang, J., Zhang, X., Tang, H., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0293-7 · Cited by 19 · see citing works
Li, H., Courtois, E. T., Sengupta, D., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0299-1 · Cited by 16 · see citing works
Lin, H., Qiu, X., Zhang, B., et al. (2018) · OncoTargets and Therapy · doi:10.2147/ott.s167656 · Cited by 12 · see citing works
Robust clustering and interpretation of scRNA-seq data using reference component analysisPreprint
Schmidt, F., Ranjan, B., Lin, Q. X. X., Krishnan, V., Joanito, I., Honardoost, M. A., Nawaz, Z., Venkatesh, P. N., Tan, J. H. J., Rayan, N. A., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.02.16.431527 · Cited by 2 · see citing works
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Oliveira, M. F. D., Romero, J. P., Chung, M., Williams, S. R., Gottscho, A. D., Gupta, A., Pilipauskas, S. E., Mohabbat, S., Raman, N., Sukovich, D. J., et al. (2025) · Nature Genetics · doi:10.1038/s41588-025-02193-3 · Cited by 321 · see citing works
Metastatic recurrence in colorectal cancer arises from residual EMP1+ cells
Cañellas-Socias, A., Cortina, C., Hernando-Momblona, X., Palomo-Ponce, S., Mulholland, E. J., Turon, G., Mateo, L., Conti, S., Roman, O., Sevillano, M., et al. (2022) · Nature · doi:10.1038/s41586-022-05402-9 · Cited by 256 · see citing works
Self-citationProgressive plasticity during colorectal cancer metastasis
Moorman, A., Benitez, E. K., Cambuli, F., Jiang, Q., Mahmoud, A., Lumish, M., Hartner, S., Balkaran, S., Bermeo, J., Asawa, S., et al. (2025) · Nature · doi:10.1038/s41586-024-08150-0 · Cited by 229 · see citing works
Valdeolivas, A., Amberg, B., Giroud, N., Richardson, M., Gálvez, E. J. C., Badillo, S., Julien-Laferrière, A., Túrós, D., Voith von Voithenberg, L., Wells, I., et al. (2024) · npj Precision Oncology · doi:10.1038/s41698-023-00488-4 · Cited by 130 · see citing works
Farin, H. F., Mosa, M. H., Ndreshkjana, B., Grebbin, B. M., Ritter, B., Menche, C., Kennel, K. B., Ziegler, P. K., Szabó, L., Bollrath, J., et al. (2023) · Cancer Discovery · doi:10.1158/2159-8290.cd-23-0050 · Cited by 120 · see citing works
Oliveira, M. F., Romero, J. P., Chung, M., Williams, S., Gottscho, A. D., Gupta, A., Pilipauskas, S. E., Mohabbat, S., Raman, N., Sukovich, D., et al. (2024) · doi:10.1101/2024.06.04.597233 · Cited by 95 · see citing works
Acha-Sagredo, A., Andrei, P., Clayton, K., Taggart, E., Antoniotti, C., Woodman, C. A., Afrache, H., Fourny, C., Armero, M., Moinudeen, H. K., et al. (2025) · Cancer Cell · doi:10.1016/j.ccell.2024.12.008 · Cited by 71 · see citing works
Borràs, D. M., Verbandt, S., Ausserhofer, M., Sturm, G., Lim, J., Verge, G. A., Vanmeerbeek, I., Laureano, R. S., Govaerts, J., Sprooten, J., et al. (2023) · Cell Discovery · doi:10.1038/s41421-023-00605-4 · Cited by 67 · see citing works
Self-citationMouillet-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
Current and emerging concepts for systemic treatment of metastatic colorectal cancer
Steup, C., Kennel, K. B., Neurath, M. F., Fichtner-Feigl, S., & Greten, F. R. (2025) · Gut · doi:10.1136/gutjnl-2025-335412 · Cited by 39 · see citing works
Galeano Niño, J. L., Wu, H., LaCourse, K. D., Srinivasan, H., Fitzgibbon, M., Minot, S. S., Sather, C., Johnston, C. D., & Bullman, S. (2023) · Nature Protocols · doi:10.1038/s41596-023-00888-7 · Cited by 36 · see citing works
Self-citationPlattner, C., Lamberti, G., Blattmann, P., Kirchmair, A., Rieder, D., Loncova, Z., Sturm, G., Scheidl, S., Ijsselsteijn, M., Fotakis, G., et al. (2023) · iScience · doi:10.1016/j.isci.2023.108399 · Cited by 27 · see citing works
- Authors
- Joanito, I., Wirapati, P., Zhao, N., Nawaz, Z., Yeo, G., Lee, F., Eng, C. L. P., Macalinao, D. C., Kahraman, M., Srinivasan, H., Lakshmanan, V., Verbandt, S., Tsantoulis, P., Gunn, N., Venkatesh, P. N., Poh, Z. W., Nahar, R., Oh, H. L. J., Loo, J. M., Chia, S., Cheow, L. F., Cheruba, E., Wong, M. T., Kua, L., Chua, C., Nguyen, A., Golovan, J., Gan, A., Lim, W.-J., Guo, Y. A., Yap, C. K., Tay, B., Hong, Y., Chong, D. Q., Chok, A.-Y., Park, W.-Y., Han, S., Chang, M. H., Seow-En, I., Fu, C., Mathew, R., Toh, E.-L., Hong, L. Z., Skanderup, A. J., DasGupta, R., Ong, C.-A. J., Lim, K. H., Tan, E. K. W., Koo, S.-L., Leow, W. Q., Tejpar, S., Prabhakar, S., & Tan, I. B.
- Affiliations
- Agency for Science, Technology and Research (SG)
- SIB Swiss Institute of Bioinformatics (CH)
- National Cancer Centre Singapore (SG)
- KU Leuven (BE)
- University of Geneva (CH)
- MSD (Singapore) (SG)
- National University of Singapore (SG)
- NantOmics LLC (United States) (US)
- Samsung Medical Center (KR)
- Singapore General Hospital (SG)
- Corresponding author
- Tejpar, Sabine
- Prabhakar, Shyam
- Tan, Iain Beehuat
- ORCID
- Joanito, Ignasius
- Wirapati, Pratyaksha
- Zhao, Nancy
- Nawaz, Zahid
- Yeo, Grace
- Lee, Fiona
- Eng, Christine L. P.
- Macalinao, Dominique Camat
- Srinivasan, Harini
- Lakshmanan, Vairavan
- Verbandt, Sara
- Tsantoulis, Petros
- Venkatesh, Prasanna Nori
- Poh, Zhong Wee
- Loo, Jia Min
- Cheow, Lih Feng
- Cheruba, Elsie
- Kua, Lindsay
- Nguyen, Andy
- Gan, Anna
- Lim, Wan-Jun
- Guo, Yu Amanda
- Tay, Brenda
- Hong, Yourae
- Chong, Dawn Qingqing
- Chok, Aik-Yong
- Park, Woong-Yang
- Han, Shuting
- Seow-En, Isaac
- Fu, Cherylin
- Mathew, Ronnie
- Toh, Ee-Lin
- Hong, Lewis Z.
- Skanderup, Anders Jacobsen
- DasGupta, Ramanuj
- Ong, Chin-Ann Johnny
- Tan, Emile K. W.
- Koo, Si-Lin
- Leow, Wei Qiang
- Tejpar, Sabine
- Prabhakar, Shyam
- Tan, Iain Beehuat
- Venue
- Nature Genetics
- Published
- 2022-06-30
- Volume
- 54
- Issue
- 7
- Pages
- 963-975
- ISSN
- 1061-4036 (ISSN-L)
- 1546-1718
- PMC
- PMC9279158
- OpenAlex
- W4283716873
- Cited by
- 434
- References
- 74
- Citations by year
- 2026: 100 · 2025: 144 · 2024: 110 · 2023: 63 · 2022: 17
- FWCI
- 27.59
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Nature Genetics (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- IRIS (submittedVersion, cc-by)
- Lirias (KU Leuven) (submittedVersion, other-oa)
- SERVAL (Université de Lausanne) (submittedVersion, cc-by)
- Funders
- Agency for Science, Technology and Research (#H18/01/a0/020)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
- Health Sciences › Medicine › Pathology and Forensic Medicine › Genetic factors in colorectal cancer
- Health Sciences › Medicine › Oncology › Colorectal Cancer Treatments and Studies
- Keywords
- colorectal cancer, consensus molecular subtypes, single-cell transcriptomics, PAM50 molecular subtypes, microsatellite instability, DNA copy number alterations, gene regulatory networks, tumor fibrosis, tumor microenvironment, prognosis, molecular classification
- MeSH terms
- Epithelial Cells, Humans, Neoplasms, Glandular and Epithelial, Colorectal Neoplasms, Microsatellite Repeats, Microsatellite Instability, Transcriptome
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