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Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer
Open accessAbstract
We conducted comprehensive integrative molecular analyses of the complete set of tumors in The Cancer Genome Atlas (TCGA), consisting of approximately 10,000 specimens and representing 33 types of cancer. We performed molecular clustering using data on chromosome-arm-level aneuploidy, DNA hypermethylation, mRNA, and miRNA expression levels and reverse-phase protein arrays, of which all, except for aneuploidy, revealed clustering primarily organized by histology, tissue type, or anatomic origin. The influence of cell type was evident in DNA-methylation-based clustering, even after excluding sites with known preexisting tissue-type-specific methylation. Integrative clustering further emphasized the dominant role of cell-of-origin patterns. Molecular similarities among histologically or anatomically related cancer types provide a basis for focused pan-cancer analyses, such as pan-gastrointestinal, pan-gynecological, pan-kidney, and pan-squamous cancers, and those related by stemness features, which in turn may inform strategies for future therapeutic development.
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“The nature of these mutations differs for each cancer [90] and in each individual [90,91,92].”
From The Tumor-on-Chip: Recent Advances in the Development of Microfluidic Systems to Recapitulate the Physiology of Solid Tumors (2019) · cites this paper as [92]
Experimental — accuracy not yet measuredIn the citing paper
“First, although tumors are readily recognized through gene expression signatures, they retain transcriptomic features of the parental tissue so that tumors arising in the same organ are more similar to each other than tumors arising in different organs.”
From Metabolic reprogramming and cancer progression (2020) · cites this paper as [3]
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“A study that classified thousands of human tumors found that tissue of origin was a major factor defining DNA methylation and gene expression patterns (3).”
From Metabolic reprogramming and cancer progression (2020) · cites this paper as [3]
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PD-1 and PD-L1 Immune Checkpoint Blockade to Treat Breast Cancer
Hartkopf, A. D., Taran, F., Wallwiener, M., Walter, C. B., Krämer, B., Grischke, E., & Brucker, S. Y. (2016) · Breast Care · doi:10.1159/000453569 · Cited by 30,989
WGCNA: an R package for weighted correlation network analysis
Langfelder, P., & Horvath, S. (2008) · BMC Bioinformatics · doi:10.1186/1471-2105-9-559 · Cited by 27,252
Nishimura, R., Osako, T., Nishiyama, Y., Tashima, R., Nakano, M., Fujisue, M., Toyozumi, Y., & Arima, N. (2013) · Oncology · doi:10.1159/000353099 · Cited by 13,239
Comprehensive molecular portraits of human breast tumours
The Cancer Genome Atlas Network (2012) · Nature · doi:10.1038/nature11412 · Cited by 12,129
Integrated genomic analyses of ovarian carcinoma
Perou, C. M. (2019) · Carolina Digital Repository (University of North Carolina at Chapel Hill) · doi:10.17615/hvp3-wg08 · Cited by 7,927
Self-citationThe Immune Landscape of Cancer
Thorsson, V., Gibbs, D. L., Brown, S. D., Wolf, D., Bortone, D. S., Ou Yang, T.-H., Porta-Pardo, E., Gao, G. F., Plaisier, C. L., Eddy, J. A., et al. (2018) · Immunity · doi:10.1016/j.immuni.2018.03.023 · Cited by 5,870 · cited 4×
“Immune-signaling subtypes identified in Thorsson et al. (2018) also co-localized on the TumorMap, indicating relationships between the iClusters, histopathology, and the types of immune infiltration (Figure 5B).”
BackgroundInfluentialSelf-citationIntegrated genomic characterization of endometrial carcinoma
The Cancer Genome Atlas Research Network, & Levine, D. A. (2013) · Nature · doi:10.1038/nature12113 · Cited by 5,784
Self-citationComprehensive molecular profiling of lung adenocarcinoma
The Cancer Genome Atlas Research Network (2014) · Nature · doi:10.1038/nature13385 · Cited by 5,732 · cited 2×
“…of stemness, attesting to their underlying molecular heterogeneity, as previously reported (Cancer Genome Atlas Network, 2015; Cancer Genome Atlas Research Network, 2011, 2012, 2014a, 2014b, 2015a, 2015b, 2017; Cancer Genome Atlas Research Network et al., 2013a, 2013b; Robertson et al., 2017).”
BackgroundConsensusClusterPlus: a class discovery tool with confidence assessments and item tracking
Wilkerson, M. D., & Hayes, D. N. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq170 · Cited by 5,645 · cited 1×
“Unsupervised consensus clustering using Consensus Cluster Plus (Wilkerson and Hayes, 2010) was performed on 10,165 tumors with 15,363 genes.”
MethodSelf-citationMutational heterogeneity in cancer and the search for new cancer-associated genes
Lawrence, M. S., Stojanov, P., Polak, P., Kryukov, G. V., Cibulskis, K., Sivachenko, A., Carter, S. L., Stewart, C., Mermel, C. H., Roberts, S. A., et al. (2013) · Nature · doi:10.1038/nature12213 · Cited by 5,461 · cited 6×
“Eight iClusters were dominated by a single tumor type (C24:LAML, C11:LGG [IDH1 mut], C6:OV, C8:UCEC, C12:THCA, C16:PRAD, C26:LIHC, C14:LUAD).”
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Tuit, S., Salvagno, C., Kapellos, T. S., Hau, C., Seep, L., Oestreich, M., Klee, K., de Visser, K. E., Ulas, T., & Schultze, J. L. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.09.067 · Cited by 40
Cantero, D., Mollejo, M., Sepúlveda-Sánchez, J. M., D’Haene, N., Gutiérrez-Guamán, M. J., de Lope, Á. R., Fiaño, C., Castresana, J. S., Lebrun, L., REY, J. A., et al. (2020) · Neuro-Oncology Advances · doi:10.1093/noajnl/vdz059 · Cited by 41
Genomic characterization of five commonly used endometrial cancer cell lines
Devor, E. J., Bosquet, J. G., Thiel, K. W., & Leslie, K. K. (2020) · International Journal of Oncology · doi:10.3892/ijo.2020.5139 · Cited by 41
Tracing Lung Cancer Risk Factors Through Mutational Signatures in Never-Smokers
Landi, M. T., Synnott, N. C., Rosenbaum, J., Zhang, T., Zhu, B., Shi, J., Wei, Z., Kebede, M., Sang, J., Choi, J., et al. (2020) · American Journal of Epidemiology · doi:10.1093/aje/kwaa234 · Cited by 41
Investigating Deep Learning Based Breast Cancer Subtyping Using Pan-Cancer and Multi-Omic Data
Cristovao, F., Cascianelli, S., Canakoglu, A., Carman, M., Nanni, L., Pinoli, P., & Masseroli, M. (2020) · IEEE Transactions on Computational Biology and Bioinformatics · doi:10.1109/tcbb.2020.3042309 · Cited by 41
“We evaluated the usage of semi-supervised learning techniques, motivated by the known similarities that exist among different cancer types or between normal and cancer breast tissues [18], [27].”
MethodTanaka, I., Furukawa, T., & Morise, M. (2021) · Cancer Cell International · doi:10.1186/s12935-021-02165-7 · Cited by 42
Herbst, J., Pantel, K., Effenberger, K. E., & Wikman, H. (2022) · British Journal of Cancer · doi:10.1038/s41416-022-01868-6 · Cited by 43
“Indeed, in the integrative molecular analyses of the complete set of tumours in The Cancer Genome Atlas, cervical squamous tumours clustered in high aneuploidy clusters, which are defined by high proliferation and DNA repair pathway alterations and basal signalling [65].”
BackgroundPrediction of tissue-of-origin of early stage cancers using serum miRNomes
Matsuzaki, J., Kato, K., Oono, K., Tsuchiya, N., Sudo, K., Shimomura, A., Tamura, K., Shiino, S., Kinoshita, T., Daiko, H., et al. (2022) · JNCI Cancer Spectrum · doi:10.1093/jncics/pkac080 · Cited by 40
Tissue and Cell-Free DNA-Based Epigenomic Approaches for Cancer Detection
Leal, A., Sidransky, D., & Brait, M. (2019) · Clinical Chemistry · doi:10.1373/clinchem.2019.303594 · Cited by 42
Non-BRAF Mutant Melanoma: Molecular Features and Therapeutical Implications
Vanni, I., Tanda, E. T., Dalmasso, B., Pastorino, L., Andreotti, V., Bruno, W., Boutros, A., Spagnolo, F., & Ghiorzo, P. (2020) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2020.00172 · Cited by 43
“For selecting TCGA melanoma samples we considered the group’s pan-cancer flagship paper (Hoadley et al., 2018), which included the original cohort of the melanoma-only TCGA study, plus an additional set of 60 skin melanoma samples.”
MethodKelly, M. R., Wiśniewska, K., Regner, M. J., Lewis, M. W., Perreault, A. A., Davis, E. S., Phanstiel, D. H., Parker, J. S., & Franco, H. L. (2022) · Nature Communications · doi:10.1038/s41467-022-31919-8 · Cited by 42
Self-citationPathologies of Precursor Lesions of Biliary Tract Carcinoma
Nakanuma, Y., Kakuda, Y., Sugino, T., Sato, Y., & Fukumura, Y. (2022) · Cancers · doi:10.3390/cancers14215358 · Cited by 39
“Recent studies suggest that different and diverse tumor profiles may be significantly influenced by the existence of multiple cells of origin [2,31].”
BackgroundThe Interplay between T Cells and Cancer: The Basis of Immunotherapy
Chen, C., Liu, X., Chang, C., Wang, H. Y., & Wang, R. (2023) · Genes · doi:10.3390/genes14051008 · Cited by 42
Self-citationCunnea, P., Curry, E. W., Christie, E. L., Nixon, K., Kwok, C. H., Pandey, A., Wulandari, R., Thol, K., Ploski, J., Morera-Albert, C., et al. (2023) · Cell Reports Medicine · doi:10.1016/j.xcrm.2023.101055 · Cited by 39
“This approach was taken because somatic genetic alterations in HGSOC predominantly feature CN alterations,(33) and SNP array data remain effective in characterizing such changes.(34) To quantify the genomic divergence of a pair of tumor samples, we estimated the number of CN alteration events that would need to occur…”
BackgroundOlcina, M. M., Balanis, N. G., Kim, R. K., Aksoy, B. A., Kodysh, J., Thompson, M. J., Hammerbacher, J., Graeber, T. G., & Giaccia, A. J. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.11.093 · Cited by 39
“The Cancer GenomeAtlas (TCGA) was developedwith the aim to understand cancer by acquiring genome-wide information on thousands of patients (Hoadley et al., 2018).”
The road towards data integration in human genomics: players, steps and interactions
Bernasconi, A., Canakoglu, A., Masseroli, M., & Ceri, S. (2020) · Briefings in Bioinformatics · doi:10.1093/bib/bbaa080 · Cited by 39
Kumar, R. J., Chao, H. X., Simpson, D. A., Feng, W., Cho, M.-G., Roberts, V., Sullivan, A. R., Shah, S., Wozny, A., Fagan‐Solis, K. D., et al. (2020) · NAR Cancer · doi:10.1093/narcan/zcaa038 · Cited by 38
Unlocking the Mystery of the Therapeutic Effects of Chinese Medicine on Cancer
Liu, S.-H., Chen, P., Huang, C.-C., Hung, Y.-T., Lee, M.-Y., Lin, W.-H., Lin, Y.-C., & Lee, A. (2021) · Frontiers in Pharmacology · doi:10.3389/fphar.2020.601785 · Cited by 36
Transcription factor RFX7 governs a tumor suppressor network in response to p53 and stress
Coronel, L., Riege, K., Schwab, K., Förste, S., Häckes, D., Semerau, L., Bernhart, S. H., Siebert, R., Hoffmann, S., & Fischer, M. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkab575 · Cited by 39
“types (74), and we tested whether RFX7 target gene expression is associated with patient 456 survival.”
BackgroundHoogstraat, M., Lips, E. H., Mayayo‐Peralta, I., Mulder, L., Kristel, P., van der Heijden, I., Annunziato, S., van Seijen, M., Nederlof, P. M., Sonke, G. S., et al. (2022) · npj Breast Cancer · doi:10.1038/s41523-022-00428-8 · Cited by 41
The noncoding MIR100HG RNA enhances the autocrine function of transforming growth factor β signaling
Papoutsoglou, P., Rodrigues‐Junior, D. M., Morén, A., Bergman, A., Pontén, F., Coulouarn, C., Caja, L., Heldin, C., & Moustakas, A. (2021) · Oncogene · doi:10.1038/s41388-021-01803-8 · Cited by 38
“A PanCancer Atlas cohort of 494 prostate adenocarcinoma patients [21] revealed a positive correlation between MIR100HG and TGFB1 expression (Fig.”
BackgroundAn immunogenetic basis for lung cancer risk
Krishna, C., Tervi, A. M., Saffern, M., Wilson, E. A., Yoo, S., Mars, N., Roudko, V., Cho, B. A., Jones, S. E., Vaninov, N., et al. (2024) · Science · doi:10.1126/science.adi3808 · Cited by 42
Self-citationBuilding a translational cancer dependency map for The Cancer Genome Atlas
Shi, X., Gekas, C., Verduzco, D., Petiwala, S. M., Jeffries, C. T., Lu, C., Murphy, E., Anton, T., Vo, A. H., Xiao, Z., et al. (2024) · Nature Cancer · doi:10.1038/s43018-024-00789-y · Cited by 39
“Fitting with observations that the tissue of origin dominates the molecular landscape of cancer 53 , TCGA DEPMAP and PDXE DEPMAP revealed that tumor vulnerabilities were tightly correlated with disease lineage and subtype.”
Temporal recording of mammalian development and precancer
Islam, M., Yang, Y., Simmons, A. J., Shah, V. M., Pavan, M. K., Xu, Y., Tasneem, N., Chen, Z., Trinh, L. T., Molina, P., et al. (2024) · Nature · doi:10.1038/s41586-024-07954-4 · Cited by 41
Self-citationGrainyhead-like Protein 2: The Emerging Role in Hormone-Dependent Cancers and Epigenetics
Reese, R., Harrison, M. M., & Alarid, E. T. (2019) · Endocrinology · doi:10.1210/en.2019-00213 · Cited by 38
Unfried, J. P., Serrano, G., Suárez, B., Sangro, P., Ferretti, V., Prior, C., Boix, L., Bruix, J., Sangro, B., Segura, V., et al. (2019) · Cancer Research · doi:10.1158/0008-5472.can-19-0400 · Cited by 38
Integrated analysis of the E2F transcription factors across cancer types
Wang, H., Wang, X., Xu, L., Zhang, J., & Cao, H. (2020) · Oncology Reports · doi:10.3892/or.2020.7504 · Cited by 41
Self-citationInherited Rare, Deleterious Variants in ATM Increase Lung Adenocarcinoma Risk
Selvan, M. E., Zauderer, M. G., Rudin, C. M., Jones, S., Mukherjee, S., Offit, K., Onel, K., Rennert, G., Velculescu, V. E., Lipkin, S. M., et al. (2020) · Journal of Thoracic Oncology · doi:10.1016/j.jtho.2020.08.017 · Cited by 38
Self-citationGhezelayagh, T. S., Pennington, K. P., Norquist, B. M., Khasnavis, N., Radke, M. R., Kilgore, M., Garcia, R. L., Lee, M. J., Katz, R., Leslie, K. K., et al. (2020) · Gynecologic Oncology · doi:10.1016/j.ygyno.2020.12.007 · Cited by 38
Self-citationChoi, B.-H., Rawat, V., Högström, J., Burns, P. A., Conger, K. O., Özgürses, M. E., Patel, J. M., Mehta, T. S., Warren, A., Selfors, L. M., et al. (2022) · Cell Reports · doi:10.1016/j.celrep.2021.110278 · Cited by 38
“…pathway in luminal breast cancer To evaluate the relationship between tumor lineage and metabolic gene expression, we analyzed the expression of a curated list of 1454 metabolic genes (Gaude and Frezza, 2016) in The Cancer Genome Atlas (TCGA) Pan-Cancer Atlas data set (Hoadley et al., 2018).”
BackgroundMethodInfluentialCancer cell states and emergent properties of the dynamic tumor systemPreprint
Barkley, D., Rao, A. N., Pour, M., França, G. S., & Yanai, I. (2021) · Genome Research · doi:10.1101/gr.275308.121 · Cited by 39
“…of inter-tumor transcriptional heterogeneity using bulk RNA sequencing (RNA-seq) led to the identification of molecular and histological subtypes with distinct phenotypic properties and strong correlationwith clinical prognosis (Koboldt et al. 2012; Kandoth et al. 2013; Hoadley et al. 2018).”
Self-citationMosella, M. S., Sabedot, T. S., Silva, T. C., Malta, T. M., Dezem, F. S., Asmaro, K. P., Wells, M., Mukherjee, A., Poisson, L., Snyder, J., et al. (2021) · Neuro-Oncology · doi:10.1093/neuonc/noab044 · Cited by 37
Self-citationRoh, W., Geffen, Y., Cha, H., Miller, M. L., Anand, S. K., Kim, J., Heiman, D. I., Gainor, J. F., Laird, P. W., Cherniack, A. D., et al. (2022) · Cancer Research · doi:10.1158/0008-5472.can-22-0432 · Cited by 37
Self-citationIntelligent acupuncture: data-driven revolution of traditional Chinese medicine
Bao, Y., Ding, H., Zhang, Z., Yang, K., Tran, Q., Sun, Q., & Xu, T. (2023) · Acupuncture and Herbal Medicine · doi:10.1097/hm9.0000000000000077 · Cited by 39
Self-citationGiafaglione, J. M., Crowell, P. D., Delcourt, A. M. L., Hashimoto, T., Ha, S. M., Atmakuri, A., Nunley, N. M., Dang, R. M. A., Tian, M., Diaz, J. A., et al. (2023) · Nature Cell Biology · doi:10.1038/s41556-023-01274-x · Cited by 40
“Correlation analysis of RNA-seq of 499 primary prostate carcinomas from The Cancer Genome Atlas (TCGA) 28 revealed that abundance levels of MPC1 and MPC2 RNA are positively correlated with RNA abundance of the luminal markers KRT8 and KRT18 (Extended Data Fig.”
BackgroundInfluentialGarnham, R., Geh, D., Nelson, R., Ramon‐Gil, E., Wilson, L., Schmidt, E. N., Walker, L., Adamson, B., Buskin, A., Hepburn, A. C., et al. (2024) · Communications Biology · doi:10.1038/s42003-024-05924-0 · Cited by 38
Classification of non-TCGA cancer samples to TCGA molecular subtypes using compact feature sets
Ellrott, K., Wong, C. K., Yau, C. S. F., Castro, M. A. A., Lee, J., Karlberg, B., Grewal, J., Lagani, V., Tercan, B., Friedl, V., et al. (2025) · Cancer Cell · doi:10.1016/j.ccell.2024.12.002 · Cited by 39
Self-citationAndrés‐León, E., & Rojas, A. M. (2018) · Methods · doi:10.1016/j.ymeth.2018.09.002 · Cited by 39
Molecular Correlates of Metastasis by Systematic Pan-Cancer Analysis Across The Cancer Genome Atlas
Chen, F., Zhang, Y., Varambally, S., & Creighton, C. J. (2018) · Molecular Cancer Research · doi:10.1158/1541-7786.mcr-18-0601 · Cited by 35
Self-citationVicent, S., Lieshout, R., Saborowski, A. L., Verstegen, M. M. A., Raggi, C., Recalcati, S., Invernizzi, P., van der Laan, L. J. W., Alvaro, D., Calvisi, D. F., et al. (2019) · Liver International · doi:10.1111/liv.14094 · Cited by 38
Self-citationBarresi, V., Simbolo, M., Mafficini, A., Piredda, M. L., Caffo, M., Cardali, S. M., Germanò, A., Cingarlini, S., Ghimenton, C., & Scarpa, A. (2019) · Cancers · doi:10.3390/cancers11091279 · Cited by 38
Leveraging protein dynamics to identify cancer mutational hotspots using 3D structures
Kumar, S., Clarke, D., & Gerstein, M. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1901156116 · Cited by 37
“However, this will be particularly challenging for highly heterogeneous cancer cohorts with multiple subtypes (85).”
The genomic and epigenomic evolutionary history of papillary renal cell carcinomas
Zhu, B., Poeta, M. L., Costantini, M., Zhang, T., Shi, J., Sentinelli, S., Wei, Z., Pompeo, V., Cardelli, M., Alexandrov, B. S., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-16546-5 · Cited by 38
Self-citationLiu, Y., Ye, G., Huang, L., Zhang, C., Sheng, Y., Wu, B., Han, L., Wu, C., Dong, B., & Qi, Y. (2020) · Aging · doi:10.18632/aging.103945 · Cited by 38
Self-citationArora, A., Olshen, A. B., Seshan, V., & Shen, R. (2020) · Genome Medicine · doi:10.1186/s13073-020-00804-8 · Cited by 38
Self-citationLesseur, C., Ferreiro-Iglesias, A., McKay, J., Bossé, Y., Johansson, M., Gaborieau, V., Landi, M. T., Christiani, D. C., Caporaso, N. E., Bojesen, S. E., et al. (2021) · PLoS Genetics · doi:10.1371/journal.pgen.1009254 · Cited by 36
Self-citationSasaki, S., Takeda, M., Hirose, T., Fujii, T., Itami, H., Uchiyama, T., Morita, K., Matsuda, R., Yamada, S., Nakagawa, I., et al. (2021) · Journal of Neuropathology & Experimental Neurology · doi:10.1093/jnen/nlab127 · Cited by 37
Repurposing antiparasitic antimonials to noncovalently rescue temperature-sensitive p53 mutations
Tang, Y., Song, H., Wang, Z., Xiao, S., Xiang, X., Zhan, H., Wu, L., Wu, J., Xing, Y., Tan, Y., et al. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.110622 · Cited by 37
Self-citationGu, Y., Zhang, P., Wang, J., Lin, C., Liu, H., Li, H., He, H., Li, R., Zhang, H., & Zhang, W. (2022) · Cancer Immunology Immunotherapy · doi:10.1007/s00262-022-03326-x · Cited by 37
“2B), and exhibited an inflamed immune contexture toward elevated antitumor cell components [37] and enhanced immunogenic functionality [33].”
BackgroundSelf-citationDeep generative modeling of sample-level heterogeneity in single-cell genomics
Boyeau, P., Hong, J., Gayoso, A., Kim, M., McFaline-Figueroa, J. L., Jordan, M. I., Azizi, E., Ergen, C., & Yosef, N. (2025) · Nature Methods · doi:10.1038/s41592-025-02808-x · Cited by 55
“As a prominent example, pan-cancer analysis with functional genomics has revealed that, in many cases, people with cancer are more effectively classified using their molecular data, rather than histopathology 12 .”
USP13 drives lung squamous cell carcinoma by switching lung club cell lineage plasticity
Kwon, J., Zhang, J., Mok, B., Allsup, S., Kim, C., Toretsky, J. A., & Han, C. (2023) · Molecular Cancer · doi:10.1186/s12943-023-01892-x · Cited by 35
Self-citationDecoding the basis of histological variation in human cancer
Fujii, M., Sekine, S., & Sato, T. (2023) · Nature reviews. Cancer · doi:10.1038/s41568-023-00648-5 · Cited by 35
“Comprehensive molecular analysis of human cancers has illuminated genetic alterations and transcriptome patterns, which, in some cases such as lung cancer, gastric cancer and oesophageal cancer, broadly converge based on the histological classification 115 .”
The transcriptional landscape of glycosylation-related genes in cancer
Rodríguez, E., Lindijer, D., van Vliet, S. J., García-Vallejo, J. J., & van Kooyk, Y. (2024) · iScience · doi:10.1016/j.isci.2024.109037 · Cited by 36
“10,11 15 Here, we characterized the expression of glycosylation-related genes (GRGs) and pathways (GRPs) in a pan-cancer setting using bulk and single cell transcriptomic datasets from tumor tissues and cell lines.”
BackgroundReference Materials for Improving Reliability of Multiomics Profiling
Ren, L., Shi, L. M., & Zheng, Y. (2024) · Phenomics · doi:10.1007/s43657-023-00153-7 · Cited by 37
Marques, C. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-809738-0.00019-3 · Cited by 36
Current Status of Raf Kinase Inhibitor Protein (RKIP) in Lung Cancer: Behind RTK Signaling
Raquel‐Cunha, A., Cardoso‐Carneiro, D., Reis, R. M., & Martinho, O. (2019) · Cells · doi:10.3390/cells8050442 · Cited by 36
Self-citationBaergen, A. K., Jeusset, L. M., Lichtensztejn, Z., & McManus, K. J. (2019) · Cancers · doi:10.3390/cancers11081066 · Cited by 36
“Using publicly available patient derived datasets obtained from TCGA [23], we determined that”
BackgroundMethodInfluentialDeep Learning for Multi-Tissue Cancer Classification of Gene Expressions (GeneXNet)
Khorshed, T., Moustafa, M., & Rafea, A. (2020) · IEEE Access · doi:10.1109/access.2020.2992907 · Cited by 36
“to detect multiple types of genetic alterations that may be driving the growth of a tumor across the whole transcriptome rather than a predetermined subset of genes [4].”
BackgroundMethodInfluentialActive DNA demethylation—The epigenetic gatekeeper of development, immunity, and cancer
Prasad, R. M., Yen, T. J., & Bellacosa, A. (2020) · Advanced Genetics · doi:10.1002/ggn2.10033 · Cited by 39
Durrani, I. A., Bhatti, A., & John, P. C. L. (2021) · Cancer Cell International · doi:10.1186/s12935-021-02040-5 · Cited by 46
“Cancer too is a heterogeneous disease and can be classified into many distinct types based on its site of origin and other clinic-pathological features and molecular signatures [9, 10].”
BackgroundGlobal Analysis of Microbiota Signatures in Four Major Types of Gastrointestinal Cancer
Wang, J., Wang, Y., Li, Z., Gao, X., & Huang, D. (2021) · Frontiers in Oncology · doi:10.3389/fonc.2021.685641 · Cited by 38
Self-citationBekele, R. T., Samant, A. S., Nassar, A. H., So, J., Garcia, E. P., Curran, C. R., Hwang, J. H., Mayhew, D. L., Nag, A., Thorner, A. R., et al. (2021) · Journal of Clinical Investigation · doi:10.1172/jci147849 · Cited by 39
“Legacy and PanCancer Atlas data sets (28).”
Ebersbach, C., Beier, A.-M. K., Thomas, C., & Erb, H. H. H. (2021) · Cancers · doi:10.3390/cancers13194854 · Cited by 38
Cancer catecholamine conundrum
Wackerhage, H., Christensen, J. F., Ilmer, M., von Luettichau, I., Renz, B. W., & Schönfelder, M. (2021) · Trends in cancer · doi:10.1016/j.trecan.2021.10.005 · Cited by 36
Wenta, T., Schmidt, A., Zhang, Q., Devarajan, R., Singh, P., Yang, X., Ahtikoski, A. M., Vaarala, M. H., Wei, G., & Manninen, A. (2022) · Oncogene · doi:10.1038/s41388-022-02389-5 · Cited by 38
Larkin, K. T. M., Nicolet, D., Kelly, B., Mrózek, K., LaHaye, S., Miller, K. E., Wijeratne, S., Wheeler, G. L., Kohlschmidt, J., Blachly, J. S., et al. (2022) · Blood Advances · doi:10.1182/bloodadvances.2022007544 · Cited by 36
“8 Disease-free at 5 y, % (95% CI) 24% (10-42) 42% (34-49) n = 42§ n = 212§ OS <.”
Self-citationCare, M. A., Westhead, D. R., & Tooze, R. M. (2019) · npj Systems Biology and Applications · doi:10.1038/s41540-019-0090-7 · Cited by 36
“An extension is provided by pan-cancer classification where cases associated with key molecular features are combined potentially across the boundaries of conventional classification.(2) Gene expression-based classifications have defined both prognostically and pathogenetically distinct cancer subtypes, which have pre…”
Wu, Z., He, Y., Wang, T., Yang, D.-W., Li, D., Deng, C., Cao, L., Zhang, J., Xue, W., & Jia, W. (2021) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2021.763875 · Cited by 35
“…of the prognosis associated genes expression with the Frontiers in Cell and Developmental Biology | www.frontiersin.org December 2021 | Volume 9 | Article 7638756 stemness of the same sample, we utilized the stemness score determined by the DNA hypermethylation data and mRNA (Hoadley et al., 2018).”
MethodSelf-citationGene Expression Profiles in Cancers and Their Therapeutic Implications
Creighton, C. J. (2023) · The Cancer Journal · doi:10.1097/ppo.0000000000000638 · Cited by 35
Self-citationCouto, J., Vulin, M., Jehanno, C., Coissieux, M.-M., Hamelin, B., Schmidt, A., Ivanek, R., Sethi, A., Bräutigam, K., Frei, A., et al. (2023) · EMBO Journal · doi:10.15252/embj.2022112559 · Cited by 31
“…but also prostate, colorectal, stomach, pancreatic, uterine, ovarian, and small cell lung cancers (Bell et al , 2011; Curtis et al , 2012; Koboldt et al , 2012; Getz et al , 2013; Abeshouse et al , 2015; George et al , 2015; Pereira et al , 2016; Hoadley et al , 2018; Fig 5C and Dataset EV3).”
The wonders of X-PDT: an advance route to cancer theranostics
Mushtaq, A., Iqbal, M. Z., Tang, J., & Sun, W. (2024) · Journal of Nanobiotechnology · doi:10.1186/s12951-024-02931-5 · Cited by 35
“…these molecular subtypes can be found in clinical subsets; luminal A and B subtypes express keratins 8/18 and ER-related gene clusters, the BL has overexpression of keratin 5, 17, and EGFR-related genes, and the HER2-Enriched sub-type is characterized by expression of Erb-B2-related genes [71, 72].”
BackgroundHepatic gluconeogenesis and PDK3 upregulation drive cancer cachexia in flies and mice
Liu, Y., Dantas, E., Ferrer, M., Miao, T., Qadiri, M., Liu, Y., Comjean, A., Davidson, E. E., Perrier, T., Ahmed, T., et al. (2025) · Nature Metabolism · doi:10.1038/s42255-025-01265-2 · Cited by 57
“Additionally, transcriptomic data and corresponding survival records were obtained from the Hepato-cellular Carcinoma (LIHC) cohort of 372 participants in the PanCancer Atlas of TCGA Program 75,76 .”
Self-citationInhibition of heme biosynthesis triggers cuproptosis in acute myeloid leukemia
Lewis, A. C., Gruber, E., Franich, R. L., Armstrong, J. M., Kelly, M. J., Opazo, C., Low, Y. C., Flippe, L., Wijanarko, K. J., Rowe, C. L., et al. (2025) · Cell · doi:10.1016/j.cell.2025.10.028 · Cited by 39
Putative biomarkers for predicting tumor sample purity based on gene expression data
Li, Y., Umbach, D. M., Bingham, A., Li, Q.-J., Zhuang, Y., & Li, L. (2019) · BMC Genomics · doi:10.1186/s12864-019-6412-8 · Cited by 33
“The tumor purity estimates by ABSOLUTE [8] for tumor tissue samples from 33 TCGA tumor types were obtained from [9]; these purity estimates are summarized for each tumor type in Additional file 1: Figure S1.”
BackgroundMethodExploration of Coding and Non-coding Variants in Cancer Using GenomePaint
Zhou, X., Wang, J., Patel, J. N., Valentine, M. B., Shao, Y., Newman, S., Sioson, E., Tian, L., Liu, Y., Brady, S. W., et al. (2021) · Cancer Cell · doi:10.1016/j.ccell.2020.12.011 · Cited by 34
Self-citationRecent Advances in Integrative Multi-Omics Research in Breast and Ovarian Cancer
Khella, C. A., Mehta, G. A., Mehta, R. N., & Gatza, M. L. (2021) · Journal of Personalized Medicine · doi:10.3390/jpm11020149 · Cited by 35
LRP5 Promotes Gastric Cancer via Activating Canonical Wnt/β-Catenin and Glycolysis Pathways
Nie, X., Wang, H., Wei, X., Li, L., Xue, T., Fan, L., Ma, H., Xia, Y., Wang, Y., & Chen, W. (2021) · American Journal Of Pathology · doi:10.1016/j.ajpath.2021.11.007 · Cited by 35
Patient-derived xenograft models capture genomic heterogeneity in endometrial cancer
Bonazzi, V., Kondrashova, O., Smith, D. S., Nones, K., Sengal, A. T., Ju, R. J., Packer, L., Koufariotis, L. T., Kazakoff, S. H., Davidson, A. L., et al. (2022) · Genome Medicine · doi:10.1186/s13073-021-00990-z · Cited by 34
“Despite the difference in TP53 mutation status, they all shared low TMB (≤10 Mutations/Mb), high degree of genomic instability (>25% of genome with CNAs and >15 CN segments), and low MSI scores, suggesting microsatellite stability.”
BackgroundInfluentialHerrgott, G. A., Asmaro, K. P., Wells, M., Sabedot, T. S., Malta, T. M., Mosella, M. S., Nelson, K. K., Scarpace, L. M., Barnholtz‐Sloan, J. S., Sloan, A. E., et al. (2022) · Neuro-Oncology · doi:10.1093/neuonc/noac050 · Cited by 35
Self-citationPrecision Combination Therapies Based on Recurrent Oncogenic Coalterations
Li, X., Kong, E., Yan, G., Dereli, Z., Bozorgui, B., Imanirad, P., Elnaggar, J. H., Luna, A., Menter, D. G., Pilie, P. G., et al. (2022) · Cancer Discovery · doi:10.1158/2159-8290.cd-21-0832 · Cited by 34
Self-citationSong, Q., Ye, Y., Jiang, D., Qin, Z., Xu, C., Wang, H., Huang, J., Chen, L., Luo, R., Zhang, X., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-31719-0 · Cited by 35
Club cells employ regeneration mechanisms during lung tumorigenesis
Chen, Y., Tóth, R., Chocarro, S., Weichenhan, D., Hey, J., Lutsik, P., Sawall, S., Stathopoulos, G. T., Plass, C., & Sotillo, R. (2022) · Nature Communications · doi:10.1038/s41467-022-32052-2 · Cited by 36
Lin, A. L., Rudneva, V. A., Richards, A. L., Zhang, Y., Woo, H. J., Cohen, M. A., Tisnado, J., Majd, N., Wardlaw, S. L., Page‐Wilson, G., et al. (2024) · Acta Neuropathologica · doi:10.1007/s00401-024-02736-8 · Cited by 35
“It has been shown that tumors arising from the same tissue type and tumors arising from similar tissue types share similar patterns of ane-uploidy [7, 21]; for example, squamous cancers of multiple primary sites cluster together [21, 22].”
BackgroundJiang, X., Ye, J., Dong, Z., Hu, S., & Xiao, M. (2019) · Cancer Management and Research · doi:10.2147/cmar.s187780 · Cited by 34
Cancer Treatment in the Genomic Era
Doherty, G. J., Petruzzelli, M., Beddowes, E. J., Ahmad, S. S., Caldas, C., & Gilbertson, R. J. (2019) · Annual Review of Biochemistry · doi:10.1146/annurev-biochem-062917-011840 · Cited by 36
Vlachavas, E., Bohn, J. R., Ückert, F., & Nürnberg, S. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22062822 · Cited by 37
“These results shed light on the molecular underpinnings of cancer, such as cell-of-origin patterns and oncogenic processes, which classify distinct solid tumors and could serve as a valuable resource for precision medicine [17].”
BackgroundLepage, C. C., Palmer, M. C. L., Farrell, A. C., Neudorf, N. M., Lichtensztejn, Z., Nachtigal, M. W., & McManus, K. J. (2021) · British Journal of Cancer · doi:10.1038/s41416-021-01317-w · Cited by 40
TIRR inhibits the 53BP1-p53 complex to alter cell-fate programs
Parnandi, N., Rendo, V., Cui, G., Botuyan, M. V., Remišová, M., Nguyen, H. Q., Drané, P., Beroukhim, R., Altmeyer, M., Mer, G., et al. (2021) · Molecular Cell · doi:10.1016/j.molcel.2021.03.039 · Cited by 37
Self-citationLindsay, H., Scollon, S., Reuther, J., Voicu, H., Rednam, S. P., Lin, F. Y. H., Fisher, K. E., Chintagumpala, M., Adesina, A. M., Parsons, D. W., et al. (2019) · Molecular Case Studies · doi:10.1101/mcs.a004499 · Cited by 34
An Analysis Regarding the Association Between the ISLR Gene and Gastric Carcinogenesis
Li, S., Zhao, W., & Sun, M. (2020) · Frontiers in Genetics · doi:10.3389/fgene.2020.00620 · Cited by 33
Epithelial cell plasticity: breaking boundaries and changing landscapes
Tata, A., Chow, R. D.-W., & Tata, P. R. (2021) · EMBO Reports · doi:10.15252/embr.202051921 · Cited by 32
“…2007; Jopling et al , 2011; Stange et al , 2013; Tata et al , 2013; Blanpain & Fuchs, 2014; Chua et al , 2014; Friedmann-Morvinski & Verma, 2014; Hogan et al , 2014; S (cid:1) anchez Alvarado & Yamanaka, 2014; Mills & Sansom, 2015; Tata & Rajagopal, 2016a; Tata & Rajagopal, 2016b; Tetteh et al…”
cSurvival: a web resource for biomarker interactions in cancer outcomes and in cell lines
Cheng, X., Liu, Y., Wang, J., Chen, Y., Robertson, A. G., Zhang, X., Jones, S. J. M., & Taubert, S. (2022) · Briefings in Bioinformatics · doi:10.1093/bib/bbac090 · Cited by 36
“The Cancer Genome Atlas We extracted curated clinical outcome endpoints data from the TCGA Pan-Cancer Clinical Data Resource [6] and multiomics molecular data from [43].”
Self-citationMartell, E., Kuzmychova, H., Senthil, H., Kaul, E., Chokshi, C., Venugopal, C., Anderson, C. M., Singh, S. K., & Sharif, T. (2023) · Acta Neuropathologica Communications · doi:10.1186/s40478-023-01604-y · Cited by 34
“The TCGA GBM patient data used in this study are available from BioPortal for Cancer Genomics [7, 13, 19] https:// www.”
MethodSalo, A. M., Rappu, P., Koski, M. K., Karjalainen, E., Izzi, V., Drushinin, K., Miinalainen, I., Käpylä, J., Heino, J., & Myllyharju, J. (2023) · Matrix Biology · doi:10.1016/j.matbio.2023.12.001 · Cited by 35
Tanaka, A., Ogawa, M., Zhou, Y., Namba, K., Hendrickson, R. C., Miele, M. M., Li, Z., Klimstra, D. S., Buckley, P. G., Gulcher, J. R., et al. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.113810 · Cited by 37
Self-citationCommon features between neoplastic and preneoplastic lesions of the biliary tract and the pancreas
Zaccari, P., Cardinale, V., Severi, C., Pedica, F., Carpino, G., Gaudio, E., Doglioni, C., Petrone, M. C., Alvaro, D., Arcidiacono, P. G., et al. (2019) · World Journal of Gastroenterology · doi:10.3748/wjg.v25.i31.4343 · Cited by 35
Self-citationSiwak, D. R., Li, J., Akbani, R., Liang, H., & Lu, Y. (2019) · Advances in experimental medicine and biology · doi:10.1007/978-981-32-9755-5_7 · Cited by 33
Self-citationHe, Z., Wang, C., Xue, H., Zhao, R., & Li, G. (2020) · Frontiers in Oncology · doi:10.3389/fonc.2020.01631 · Cited by 33
Gao, Y., Wei, Y., Zhou, X., Huang, S., Zhao, H., & Zeng, P. (2020) · Frontiers in Genetics · doi:10.3389/fgene.2020.583106 · Cited by 33
The role of the SWI/SNF chromatin remodeling complex in pancreatic ductal adenocarcinoma
Tsuda, M., Fukuda, A., Kawai, M., Araki, O., & Seno, H. (2020) · Cancer Science · doi:10.1111/cas.14768 · Cited by 36
Metadata
- Authors
- Hoadley, K. A., Yau, C., Hinoue, T., Wolf, D. M., Lazar, A. J., Drill, E., Shen, R., Taylor, A. M., Cherniack, A. D., Thorsson, V., Akbani, R., Bowlby, R., Wong, C. K., Wiznerowicz, M., Sanchez-Vega, F., Robertson, A. G., Schneider, B. G., Lawrence, M. S., Noushmehr, H., Malta, T. M., Caesar-Johnson, S. J., Demchok, J. A., Felau, I., Kasapi, M., Ferguson, M. L., Hutter, C. M., Sofia, H. J., Tarnuzzer, R., Wang, Z., Yang, L., Zenklusen, J. C., Zhang, J. (., Chudamani, S., Liu, J., Lolla, L., Naresh, R., Pihl, T., Sun, Q., Wan, Y., Wu, Y., Cho, J., DeFreitas, T., Frazer, S., Gehlenborg, N., Getz, G., Heiman, D. I., Kim, J., Lawrence, M. S., Lin, P., Meier, S., Noble, M. S., Saksena, G., Voet, D., Zhang, H., Bernard, B., Chambwe, N., Dhankani, V., Knijnenburg, T., Kramer, R., Leinonen, K., Liu, Y., Miller, M., Reynolds, S., Shmulevich, I., Thorsson, V., Zhang, W., Akbani, R., Broom, B. M., Hegde, A. M., Ju, Z., Kanchi, R. S., Korkut, A., Li, J., Liang, H., Ling, S., Liu, W., Lu, Y., Mills, G. B., Ng, K.-S., Rao, A., Ryan, M., Wang, J., Weinstein, J. N., Zhang, J., Abeshouse, A., Armenia, J., Chakravarty, D., Chatila, W. K., de Bruijn, I., Gao, J., Gross, B. E., Heins, Z. J., Kundra, R., La, K., Ladanyi, M., Luna, A., Nissan, M. G., Ochoa, A., Phillips, S. M., Reznik, E., Sanchez-Vega, F., Sander, C., Schultz, N., Sheridan, R., Sumer, S. O., Sun, Y., Taylor, B. S., Wang, J., Zhang, H., Anur, P., Peto, M., Spellman, P., Benz, C., Stuart, J. M., Wong, C. K., Yau, C., Hayes, D. N., Parker, J. S., Wilkerson, M. D., Ally, A., Balasundaram, M., Bowlby, R., Brooks, D., Carlsen, R., Chuah, E., Dhalla, N., Holt, R., Jones, S. J. M., Kasaian, K., Lee, D., Ma, Y., Marra, M. A., Mayo, M., Moore, R. A., Mungall, A. J., Mungall, K., Robertson, A. G., Sadeghi, S., Schein, J. E., Sipahimalani, P., Tam, A., Thiessen, N., Tse, K., Wong, T., Berger, A. C., Beroukhim, R., Cherniack, A. D., Cibulskis, C., Gabriel, S. B., Gao, G. F., Ha, G., Meyerson, M., Schumacher, S. E., Shih, J., Kucherlapati, M. H., Kucherlapati, R. S., Baylin, S., Cope, L., Danilova, L., Bootwalla, M. S., Lai, P. H., Maglinte, D. T., Van Den Berg, D. J., Weisenberger, D. J., Auman, J. T., Balu, S., Bodenheimer, T., Fan, C., Hoadley, K. A., Hoyle, A. P., Jefferys, S. R., Jones, C. D., Meng, S., Mieczkowski, P. A., Mose, L. E., Perou, A. H., Perou, C. M., Roach, J., Shi, Y., Simons, J. V., Skelly, T., Soloway, M. G., Tan, D., Veluvolu, U., Fan, H., Hinoue, T., Laird, P. W., Shen, H., Zhou, W., Bellair, M., Chang, K., Covington, K., Creighton, C. J., Dinh, H., Doddapaneni, H., Donehower, L. A., Drummond, J., Gibbs, R. A., Glenn, R., Hale, W., Han, Y., Hu, J., Korchina, V., Lee, S., Lewis, L., Li, W., Liu, X., Morgan, M., Morton, D., Muzny, D., Santibanez, J., Sheth, M., Shinbrot, E., Wang, L., Wang, M., Wheeler, D. A., Xi, L., Zhao, F., Hess, J., Appelbaum, E. L., Bailey, M., Cordes, M. G., Ding, L., Fronick, C. C., Fulton, L. A., Fulton, R. S., Kandoth, C., Mardis, E. R., McLellan, M. D., Miller, C. A., Schmidt, H. K., Wilson, R. K., Crain, D., Curley, E., Gardner, J., Lau, K., Mallery, D., Morris, S., Paulauskis, J., Penny, R., Shelton, C., Shelton, T., Sherman, M., Thompson, E., Yena, P., Bowen, J., Gastier-Foster, J. M., Gerken, M., Leraas, K. M., Lichtenberg, T. M., Ramirez, N. C., Wise, L., Zmuda, E., Corcoran, N., Costello, T., Hovens, C., Carvalho, A. L., de Carvalho, A. C., Fregnani, J. H., Longatto-Filho, A., Reis, R. M., Scapulatempo-Neto, C., Silveira, H. C. S., Vidal, D. O., Burnette, A., Eschbacher, J., Hermes, B., Noss, A., Singh, R., Anderson, M. L., Castro, P. D., Ittmann, M., Huntsman, D., Kohl, B., Le, X., Thorp, R., Andry, C., Duffy, E. R., Lyadov, V., Paklina, O., Setdikova, G., Shabunin, A., Tavobilov, M., McPherson, C., Warnick, R., Berkowitz, R., Cramer, D., Feltmate, C., Horowitz, N., Kibel, A., Muto, M., Raut, C. P., Malykh, A., Barnholtz-Sloan, J. S., Barrett, W., Devine, K., Fulop, J., Ostrom, Q. T., Shimmel, K., Wolinsky, Y., Sloan, A. E., De Rose, A., Giuliante, F., Goodman, M., Karlan, B. Y., Hagedorn, C. H., Eckman, J., Harr, J., Myers, J., Tucker, K., Zach, L. A., Deyarmin, B., Hu, H., Kvecher, L., Larson, C., Mural, R. J., Somiari, S., Vicha, A., Zelinka, T., Bennett, J., Iacocca, M., Rabeno, B., Swanson, P., Latour, M., Lacombe, L., Têtu, B., Bergeron, A., McGraw, M., Staugaitis, S. M., Chabot, J., Hibshoosh, H., Sepulveda, A., Su, T., Wang, T., Potapova, O., Voronina, O., Desjardins, L., Mariani, O., Roman-Roman, S., Sastre, X., Stern, M.-H., Cheng, F., Signoretti, S., Berchuck, A., Bigner, D., Lipp, E., Marks, J., McCall, S., McLendon, R., Secord, A., Sharp, A., Behera, M., Brat, D. J., Chen, A., Delman, K., Force, S., Khuri, F., Magliocca, K., Maithel, S., Olson, J. J., Owonikoko, T., Pickens, A., Ramalingam, S., Shin, D. M., Sica, G., Van Meir, E. G., Zhang, H., Eijckenboom, W., Gillis, A., Korpershoek, E., Looijenga, L., Oosterhuis, W., Stoop, H., van Kessel, K. E., Zwarthoff, E. C., Calatozzolo, C., Cuppini, L., Cuzzubbo, S., DiMeco, F., Finocchiaro, G., Mattei, L., Perin, A., Pollo, B., Chen, C., Houck, J., Lohavanichbutr, P., Hartmann, A., Stoehr, C., Stoehr, R., Taubert, H., Wach, S., Wullich, B., Kycler, W., Murawa, D., Wiznerowicz, M., Chung, K., Edenfield, W. J., Martin, J., Baudin, E., Bubley, G., Bueno, R., De Rienzo, A., Richards, W. G., Kalkanis, S., Mikkelsen, T., Noushmehr, H., Scarpace, L., Girard, N., Aymerich, M., Campo, E., Giné, E., Guillermo, A. L., Van Bang, N., Hanh, P. T., Phu, B. D., Tang, Y., Colman, H., Evason, K., Dottino, P. R., Martignetti, J. A., Gabra, H., Juhl, H., Akeredolu, T., Stepa, S., Hoon, D., Ahn, K., Kang, K. J., Beuschlein, F., Breggia, A., Birrer, M., Bell, D., Borad, M., Bryce, A. H., Castle, E., Chandan, V., Cheville, J., Copland, J. A., Farnell, M., Flotte, T., Giama, N., Ho, T., Kendrick, M., Kocher, J.-P., Kopp, K., Moser, C., Nagorney, D., O’Brien, D., O’Neill, B. P., Patel, T., Petersen, G., Que, F., Rivera, M., Roberts, L., Smallridge, R., Smyrk, T., Stanton, M., Thompson, R. H., Torbenson, M., Yang, J. D., Zhang, L., Brimo, F., Ajani, J. A., Gonzalez, A. M. A., Behrens, C., Bondaruk, O., Broaddus, R., Czerniak, B., Esmaeli, B., Fujimoto, J., Gershenwald, J., Guo, C., Lazar, A. J., Logothetis, C., Meric-Bernstam, F., Moran, C., Ramondetta, L., Rice, D., Sood, A., Tamboli, P., Thompson, T., Troncoso, P., Tsao, A., Wistuba, I., Carter, C., Haydu, L., Hersey, P., Jakrot, V., Kakavand, H., Kefford, R., Lee, K., Long, G., Mann, G., Quinn, M., Saw, R., Scolyer, R., Shannon, K., Spillane, A., Stretch, J., Synott, M., Thompson, J., Wilmott, J., Al-Ahmadie, H., Chan, T. A., Ghossein, R., Gopalan, A., Levine, D. A., Reuter, V., Singer, S., Singh, B., Tien, N. V., Broudy, T., Mirsaidi, C., Nair, P., Drwiega, P., Miller, J., Smith, J., Zaren, H., Park, J.-W., Hung, N. P., Kebebew, E., Linehan, W. M., Metwalli, A. R., Pacak, K., Pinto, P. A., Schiffman, M., Schmidt, L. S., Vocke, C. D., Wentzensen, N., Worrell, R., Yang, H., Moncrieff, M., Goparaju, C., Melamed, J., Pass, H., Botnariuc, N., Caraman, I., Cernat, M., Chemencedji, I., Clipca, A., Doruc, S., Gorincioi, G., Mura, S., Pirtac, M., Stancul, I., Tcaciuc, D., Albert, M., Alexopoulou, I., Arnaout, A., Bartlett, J., Engel, J., Gilbert, S., Parfitt, J., Sekhon, H., Thomas, G., Rassl, D. M., Rintoul, R. C., Bifulco, C., Tamakawa, R., Urba, W., Hayward, N., Timmers, H., Antenucci, A., Facciolo, F., Grazi, G., Marino, M., Merola, R., de Krijger, R., Gimenez-Roqueplo, A.-P., Piché, A., Chevalier, S., McKercher, G., Birsoy, K., Barnett, G., Brewer, C., Farver, C., Naska, T., Pennell, N. A., Raymond, D., Schilero, C., Smolenski, K., Williams, F., Morrison, C., Borgia, J. A., Liptay, M. J., Pool, M., Seder, C. W., Junker, K., Omberg, L., Dinkin, M., Manikhas, G., Alvaro, D., Bragazzi, M. C., Cardinale, V., Carpino, G., Gaudio, E., Chesla, D., Cottingham, S., Dubina, M., Moiseenko, F., Dhanasekaran, R., Becker, K.-F., Janssen, K.-P., Slotta-Huspenina, J., Abdel-Rahman, M. H., Aziz, D., Bell, S., Cebulla, C. M., Davis, A., Duell, R., Elder, J. B., Hilty, J., Kumar, B., Lang, J., Lehman, N. L., Mandt, R., Nguyen, P., Pilarski, R., Rai, K., Schoenfield, L., Senecal, K., Wakely, P., Hansen, P., Lechan, R., Powers, J., Tischler, A., Grizzle, W. E., Sexton, K. C., Kastl, A., Henderson, J., Porten, S., Waldmann, J., Fassnacht, M., Asa, S. L., Schadendorf, D., Couce, M., Graefen, M., Huland, H., Sauter, G., Schlomm, T., Simon, R., Tennstedt, P., Olabode, O., Nelson, M., Bathe, O., Carroll, P. R., Chan, J. M., Disaia, P., Glenn, P., Kelley, R. K., Landen, C. N., Phillips, J., Prados, M., Simko, J., Smith-McCune, K., VandenBerg, S., Roggin, K., Fehrenbach, A., Kendler, A., Sifri, S., Steele, R., Jimeno, A., Carey, F., Forgie, I., Mannelli, M., Carney, M., Hernandez, B., Campos, B., Herold-Mende, C., Jungk, C., Unterberg, A., von Deimling, A., Bossler, A., Galbraith, J., Jacobus, L., Knudson, M., Knutson, T., Ma, D., Milhem, M., Sigmund, R., Godwin, A. K., Madan, R., Rosenthal, H. G., Adebamowo, C., Adebamowo, S. N., Boussioutas, A., Beer, D., Giordano, T., Mes-Masson, A.-M., Saad, F., Bocklage, T., Landrum, L., Mannel, R., Moore, K., Moxley, K., Postier, R., Walker, J., Zuna, R., Feldman, M., Valdivieso, F., Dhir, R., Luketich, J., Pinero, E. M. M., Quintero-Aguilo, M., Carlotti, C. G., Dos Santos, J. S., Kemp, R., Sankarankuty, A., Tirapelli, D., Catto, J., Agnew, K., Swisher, E., Creaney, J., Robinson, B., Shelley, C. S., Godwin, E. M., Kendall, S., Shipman, C., Bradford, C., Carey, T., Haddad, A., Moyer, J., Peterson, L., Prince, M., Rozek, L., Wolf, G., Bowman, R., Fong, K. M., Yang, I., Korst, R., Rathmell, W. K., Fantacone-Campbell, J. L., Hooke, J. A., Kovatich, A. J., Shriver, C. D., DiPersio, J., Drake, B., Govindan, R., Heath, S., Ley, T., Van Tine, B., Westervelt, P., Rubin, M. A., Lee, J. I., Aredes, N. D., Mariamidze, A., Stuart, J. M., Benz, C. C., & Laird, P. W.
- Affiliations
- University of California, San Francisco (US)
- Memorial Sloan Kettering Cancer Center (US)
- Broad Institute (US)
- Vanderbilt University Medical Center (US)
- Henry Ford Health (US)
- Buck Institute for Research on Aging (US)
- Van Andel Institute (US)
- BC Cancer Agency (CA)
- Institute for Systems Biology (US)
- The University of Texas MD Anderson Cancer Center (US)
- University of California, Santa Cruz (US)
- University of North Carolina at Chapel Hill (US)
- Poznan University of Medical Sciences (PL)
- Corresponding author
- Felau, Ina
- Nissan, Moriah G.
- Weisenberger, Daniel J.
- Jones, Corbin D.
- Bellair, Michelle
- Mallery, David
- Oosterhuis, Wolter
- Kefford, Richard
- Vocke, Cathy D.
- Zuna, Rosemary
- Rubin, Mark A.
- Aredes, Natália D.
- ORCID
- Wolf, Denise M.
- Drill, Esther
- Shen, Ronglai
- Taylor, Alison M.
- Schneider, Barbara G.
- Malta, Tathiane M.
- Felau, Ina
- Kasapi, Melpomeni
- Ferguson, Martin L.
- Sofia, Heidi J.
- Tarnuzzer, Roy
- Yang, Liming
- Zenklusen, Jean C.
- Zhang, Jiashan (Julia)
- Liu, Jia
- Pihl, Todd
- Sun, Qiang
- Wu, Ye
- Gehlenborg, Nils
- Getz, Gad
- Heiman, David I.
- Kim, Jaegil
- Lin, Pei
- Noble, Michael S.
- Saksena, Gordon
- Zhang, Hailei
- Bernard, Brady
- Chambwe, Nyasha
- Knijnenburg, Theo
- Liu, Yuexin
- Miller, Michael
- Shmulevich, Ilya
- Zhang, Wei
- Broom, Bradley M.
- Hegde, Apurva M.
- Ju, Zhenlin
- Korkut, Anil
- Li, Jun
- Liang, Han
- Lu, Yiling
- Mills, Gordon B.
- Wang, Jing
- Weinstein, John N.
- Zhang, Jiexin
- Armenia, Joshua
- Chakravarty, Debyani
- Chatila, Walid K.
- Gross, Benjamin E.
- Heins, Zachary J.
- Kundra, Ritika
- Ladanyi, Marc
- Luna, Augustin
- Ochoa, Angelica
- Phillips, Sarah M.
- Reznik, Ed
- Sander, Chris
- Schultz, Nikolaus
- Sun, Yichao
- Taylor, Barry S.
- Zhang, Hongxin
- Spellman, Paul
- Hayes, D. Neil
- Parker, Joel S.
- Wilkerson, Matthew D.
- Holt, Robert
- Jones, Steven J.M.
- Marra, Marco A.
- Moore, Richard A.
- Mungall, Andrew J.
- Sadeghi, Sara
- Tam, Angela
- Wong, Tina
- Berger, Ashton C.
- Beroukhim, Rameen
- Cibulskis, Carrie
- Gabriel, Stacey B.
- Ha, Gavin
- Meyerson, Matthew
- Schumacher, Steven E.
- Shih, Juliann
- Kucherlapati, Melanie H.
- Kucherlapati, Raju S.
- Baylin, Stephen
- Cope, Leslie
- Danilova, Ludmila
- Maglinte, Dennis T.
- Weisenberger, Daniel J.
- Auman, J. Todd
- Hoyle, Alan P.
- Jones, Corbin D.
- Mieczkowski, Piotr A.
- Perou, Charles M.
- Roach, Jeffrey
- Shi, Yan
- Fan, Huihui
- Shen, Hui
- Zhou, Wanding
- Chang, Kyle
- Covington, Kyle
- Creighton, Chad J.
- Dinh, Huyen
- Doddapaneni, HarshaVardhan
- Gibbs, Richard A.
- Han, Yi
- Korchina, Viktoriya
- Liu, Xiuping
- Morgan, Margaret
- Muzny, Donna
- Sheth, Margi
- Shinbrot, Eve
- Wang, Linghua
- Wang, Min
- Wheeler, David A.
- Zhao, Fengmei
- Hess, Julian
- Bailey, Matthew
- Ding, Li
- Fronick, Catrina C.
- Fulton, Robert S.
- Kandoth, Cyriac
- Mardis, Elaine R.
- McLellan, Michael D.
- Miller, Christopher A.
- Wilson, Richard K.
- Sherman, Mark
- Bowen, Jay
- Leraas, Kristen M.
- Lichtenberg, Tara M.
- Ramirez, Nilsa C.
- Zmuda, Erik
- Corcoran, Niall
- Hovens, Christopher
- Fregnani, José H.
- Reis, Rui M.
- Silveira, Henrique C.S.
- Vidal, Daniel O.
- Anderson, Matthew L.
- Ittmann, Michael
- Huntsman, David
- Kohl, Bernard
- Andry, Chris
- Duffy, Elizabeth R.
- Lyadov, Vladimir
- Paklina, Oxana
- Setdikova, Galiya
- Tavobilov, Mikhail
- Warnick, Ronald
- Berkowitz, Ross
- Feltmate, Colleen
- Horowitz, Neil
- Kibel, Adam
- Raut, Chandrajit P.
- Ostrom, Quinn T.
- Sloan, Andrew E.
- Giuliante, Felice
- Goodman, Marc
- Karlan, Beth Y.
- Somiari, Stella
- Bennett, Joseph
- Iacocca, Mary
- Lacombe, Louis
- Têtu, Bernard
- Bergeron, Alain
- McGraw, Mary
- Hibshoosh, Hanina
- Sepulveda, Antonia
- Wang, Timothy
- Potapova, Olga
- Voronina, Olga
- Desjardins, Laurence
- Mariani, Odette
- Stern, Marc-Henri
- Cheng, Feixiong
- Signoretti, Sabina
- Berchuck, Andrew
- Bigner, Darell
- Lipp, Eric
- McCall, Shannon
- McLendon, Roger
- Secord, Angeles
- Behera, Madhusmita
- Brat, Daniel J.
- Chen, Amy
- Delman, Keith
- Force, Seth
- Khuri, Fadlo
- Magliocca, Kelly
- Maithel, Shishir
- Olson, Jeffrey J.
- Owonikoko, Taofeek
- Ramalingam, Suresh
- Shin, Dong M.
- Sica, Gabriel
- Zhang, Hongzheng
- Looijenga, Leendert
- Oosterhuis, Wolter
- Zwarthoff, Ellen C.
- Calatozzolo, Chiara
- Cuzzubbo, Stefania
- DiMeco, Francesco
- Finocchiaro, Gaetano
- Mattei, Luca
- Perin, Alessandro
- Pollo, Bianca
- Taubert, Helge
- Wach, Sven
- Wullich, Bernd
- Kycler, Witold
- Murawa, Dawid
- Martin, Julie
- Bubley, Glenn
- Bueno, Raphael
- Richards, William G.
- Kalkanis, Steven
- Mikkelsen, Tom
- Scarpace, Lisa
- Girard, Nicolas
- Aymerich, Marta
- Giné, Eva
- Tang, Yufang
- Colman, Howard
- Evason, Kimberley
- Gabra, Hani
- Juhl, Hartmut
- Hoon, Dave
- Kang, Koo Jeong
- Beuschlein, Felix
- Breggia, Anne
- Birrer, Michael
- Borad, Mitesh
- Bryce, Alan H.
- Chandan, Vishal
- Cheville, John
- Copland, John A.
- Flotte, Thomas
- Ho, Thai
- Kendrick, Michael
- Kocher, Jean-Pierre
- Nagorney, David
- O’Brien, Daniel
- O’Neill, Brian Patrick
- Patel, Tushar
- Rivera, Michael
- Roberts, Lewis
- Smyrk, Thomas
- Torbenson, Michael
- Yang, Ju Dong
- Zhang, Lizhi
- Brimo, Fadi
- Ajani, Jaffer A.
- Behrens, Carmen
- Broaddus, Russell
- Czerniak, Bogdan
- Esmaeli, Bita
- Fujimoto, Junya
- Guo, Charles
- Logothetis, Christopher
- Ramondetta, Lois
- Sood, Anil
- Troncoso, Patricia
- Tsao, Anne
- Wistuba, Ignacio
- Carter, Candace
- Haydu, Lauren
- Jakrot, Valerie
- Kakavand, Hojabr
- Kefford, Richard
- Lee, Kenneth
- Long, Georgina
- Mann, Graham
- Quinn, Michael
- Saw, Robyn
- Scolyer, Richard
- Shannon, Kerwin
- Spillane, Andrew
- Stretch, Jonathan
- Thompson, John
- Wilmott, James
- Chan, Timothy A.
- Ghossein, Ronald
- Gopalan, Anuradha
- Levine, Douglas A.
- Singer, Samuel
- Singh, Bhuvanesh
- Broudy, Thomas
- Nair, Praveen
- Zaren, Howard
- Park, Joong-Won
- Kebebew, Electron
- Linehan, W. Marston
- Metwalli, Adam R.
- Pinto, Peter A.
- Schiffman, Mark
- Schmidt, Laura S.
- Vocke, Cathy D.
- Wentzensen, Nicolas
- Yang, Hannah
- Moncrieff, Marc
- Goparaju, Chandra
- Melamed, Jonathan
- Pass, Harvey
- Cernat, Mircea
- Arnaout, Angel
- Bartlett, John
- Thomas, George
- Rassl, Doris M.
- Rintoul, Robert C.
- Bifulco, Carlo
- Urba, Walter
- Hayward, Nicholas
- Timmers, Henri
- Facciolo, Francesco
- Marino, Mirella
- Piché, Alain
- Chevalier, Simone
- McKercher, Ginette
- Barnett, Gene
- Farver, Carol
- Pennell, Nathan A.
- Borgia, Jeffrey A.
- Seder, Christopher W.
- Junker, Kerstin
- Omberg, Larsson
- Manikhas, George
- Alvaro, Domenico
- Bragazzi, Maria Consiglia
- Cardinale, Vincenzo
- Carpino, Guido
- Gaudio, Eugenio
- Dubina, Michael
- Moiseenko, Fedor
- Dhanasekaran, Renumathy
- Becker, Karl-Friedrich
- Janssen, Klaus-Peter
- Cebulla, Colleen M.
- Elder, J. Bradley
- Lehman, Norman L.
- Nguyen, Phuong
- Pilarski, Robert
- Rai, Karan
- Schoenfield, Lynn
- Wakely, Paul
- Lechan, Ronald
- Tischler, Arthur
- Grizzle, William E.
- Henderson, Joel
- Porten, Sima
- Fassnacht, Martin
- Asa, Sylvia L.
- Schadendorf, Dirk
- Couce, Marta
- Graefen, Markus
- Huland, Hartwig
- Sauter, Guido
- Schlomm, Thorsten
- Simon, Ronald
- Tennstedt, Pierre
- Nelson, Mark
- Bathe, Oliver
- Carroll, Peter R.
- Chan, June M.
- Kelley, Robin K.
- Landen, Charles N.
- Prados, Michael
- VandenBerg, Scott
- Roggin, Kevin
- Kendler, Ady
- Steele, Ruth
- Jimeno, Antonio
- Forgie, Ian
- Mannelli, Massimo
- Carney, Michael
- Campos, Benito
- Unterberg, Andreas
- Bossler, Aaron
- Ma, Deqin
- Milhem, Mohammed
- Godwin, Andrew K.
- Madan, Rashna
- Adebamowo, Clement
- Adebamowo, Sally N.
- Boussioutas, Alex
- Beer, David
- Giordano, Thomas
- Bocklage, Therese
- Landrum, Lisa
- Moore, Kathleen
- Moxley, Katherine
- Zuna, Rosemary
- Feldman, Michael
- Luketich, James
- Carlotti, Carlos Gilberto
- Kemp, Rafael
- Tirapelli, Daniela
- Catto, James
- Swisher, Elizabeth
- Creaney, Jenette
- Robinson, Bruce
- Shelley, Carl Simon
- Bradford, Carol
- Carey, Thomas
- Prince, Mark
- Rozek, Laura
- Wolf, Gregory
- Fong, Kwun M.
- Yang, Ian
- Rathmell, W. Kimryn
- Kovatich, Albert J.
- Shriver, Craig D.
- DiPersio, John
- Drake, Bettina
- Govindan, Ramaswamy
- Heath, Sharon
- Ley, Timothy
- Rubin, Mark A.
- Lee, Jung Il
- Aredes, Natália D.
- Mariamidze, Armaz
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2018-04
- Volume
- 173
- Issue
- 2
- Pages
- 291-304.e6
- ISSN
- 0092-8674 (ISSN-L)
- PMC
- PMC5957518
- OpenAlex
- W2796153844
- Cited by
- 2,546
- References
- 58
- Citations by year
- 2026: 284 · 2025: 294 · 2024: 296 · 2023: 355 · 2022: 375 · 2021: 374 · 2020: 330 · 2019: 178 · 2018: 56
- FWCI
- 71.94
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Cell (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion, cc-by-nc-nd)
- PubMed Central (acceptedVersion, cc-by-nc-nd)
- Minerva Access (University of Melbourne) (submittedVersion, cc-by-nc-nd)
- UWA Profiles and Research Repository (UWA) (submittedVersion, cc-by)
- Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano) (submittedVersion, other-oa)
- Bern Open Repository and Information System (University of Bern) (submittedVersion, cc-by-nc-nd)
- Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) (submittedVersion)
- Utrecht University Repository (Utrecht University) (submittedVersion, other-oa)
- eScholarship (California Digital Library) (submittedVersion)
- Florence Research (University of Florence) (submittedVersion)
- IRIS Research product catalog (Sapienza University of Rome) (submittedVersion, cc-by-nc-nd)
- mediaTUM (Technical University of Munich) (submittedVersion, other-oa)
- Institutional Research Information System University of Ferrara (University of Ferrara) (submittedVersion, cc-by-nc-nd)
- Spiral (Imperial College London) (submittedVersion, cc-by-nc-nd)
- Funders
- National Human Genome Research Institute
- National Cancer Institute
- National Institutes of Health (U24 CA143866, U24 CA143843, P30 CA016672, U24 CA143867, U24 CA143840, U24 CA143882, U24 CA143858, U24 CA143835, U54 HG003273, U24 CA143883, U24 CA143848, U24 CA144025, U24 CA143845, U54 HG003079, U24 CA143799, U54 HG003067)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene expression and cancer classification
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Epigenetics and DNA Methylation
- Keywords
- cell of origin, molecular classification of cancer, pan-cancer analysis, TCGA, aneuploidy, DNA methylation, mRNA expression, microRNA expression, reverse phase protein array, histological subtypes, tissue type, stemness, molecular clustering
- MeSH terms
- Aneuploidy, Chromosomes, Humans, Mutation, Neoplasm Proteins, Neoplasms, RNA, Messenger, Cluster Analysis, Databases, Factual, CpG Islands, DNA Methylation, MicroRNAs
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