TCGAbiolinks retrieved molecular
subtypes information from TCGA samples. The functions
PanCancerAtlas_subtypes and TCGAquery_subtype
can be used to get the information tables.
While the PanCancerAtlas_subtypes function gives access
to a curated table retrieved from synapse (probably with the most
updated molecular subtypes) the TCGAquery_subtype function
has the complete table also with sample information retrieved from the
TCGA marker papers.
PanCancerAtlas_subtypes: Curated molecular
subtypes.Data and description retrieved from synapse (https://www.synapse.org/#!Synapse:syn8402849)
Synapse has published a single file with all available molecular
subtypes that have been described by TCGA (all tumor types and all
molecular platforms), which can be accessed using the
PanCancerAtlas_subtypes function as below:
subtypes <- PanCancerAtlas_subtypes()
DT::datatable(
data = subtypes,
filter = 'top',
options = list(scrollX = TRUE, keys = TRUE, pageLength = 5),
rownames = FALSE
)The columns “Subtype_Selected” was selected as most prominent subtype classification (from the other columns)
| All available molecular data based-subtype | Selected subtype | Number of samples | Link to file | Reference | link to paper | |
|---|---|---|---|---|---|---|
| ACC | mRNA, DNAmeth, protein, miRNA, CNA, COC, C1A.C1B | DNAmeth | 91 | Link | Cancer Cell 2016 | Link |
| AML | mRNA and miRNA | mRNA | 187 | Link | NEJM 2013 | Link |
| BLCA | mRNA subtypes | mRNA | 129 | Link | Nature 2014 | Link |
| BRCA | PAM50 (mRNA) | PAM50 | 1218 | Link | Nature 2012 | Link |
| GBM/LGG* | mRNA, DNAmeth, protein, Supervised_DNAmeth | Supervised_DNAmeth | 1122 | Link | Cell 2016 | Link |
| Pan-GI (preliminary) ESCA/STAD/COAD/READ | Molecular_Subtype | Molecular_Subtype | 1011 | Link | Cancer Cell 2018 | Link |
| HNSC | mRNA, DNAmeth, RPPA, miRNA, CNA, Paradigm | mRNA | 279 | Link (TabS7.2) | Nature 2015 | Link |
| KICH | Eosinophilic | Eosinophilic | 66 | Link | Cancer Cell 2014 | Link |
| KIRC | mRNA, miRNA | mRNA | 442 | Link | Nature 2013 | Link |
| KIRP | mRNA, DNAmeth, protein, miRNA, CNA, COC | COC | 161 | Link | NEJM 2015 | Link |
| LIHC (preliminary) | mRNA, DNAmeth, protein, miRNA, CNA, Paradigma, iCluster | iCluster | 196 | Link (Table S1A) | not published | |
| LUAD | DNAmeth, iCluster | iCluster | 230 | Link (Table S7) | Nature 2014 | Link |
| LUSC | mRNA | mRNA | 178 | Link (Data file S7.5) | Nature 2012 | Link |
| OVCA | mRNA | mRNA | 489 | Link | Nature 2011 | Link |
| PCPG | mRNA, DNAmeth, protein, miRNA, CNA | mRNA | 178 | tableS2 | Cancer Cell 2017 | Link |
| PRAD | mRNA, DNAmeth, protein, miRNA, CNA, icluster, mutation/fusion | mutation/fusion | 333 | Link | Cell 2015 | Link |
| SKCM | mRNA, DNAmeth, protein, miRNA, mutation | mutation | 331 | Link (Table S1D) | Cell 2015 | Link |
| THCA | mRNA, DNAmeth, protein, miRNA, CNA, histology | mRNA | 496 | Link (Table S2 - Tab1) | Cell 2014 | Link |
| UCEC | iCluster, MSI, CNA, mRNA | iCluster - updated according to Pan-Gyne/Pathways groups | 538 | Link (datafile S1.1) | Nature 2013 | Link |
| Link | ||||||
| UCS (preliminary) | mRNA | mRNA | 57 | Link | not published |
TCGAquery_subtype: Working with molecular subtypes
data.The Cancer Genome Atlas (TCGA) Research Network has reported integrated genome-wide studies of various diseases. We have added some of the subtypes defined by these report in our package:
| TCGA dataset | Link | Paper | Journal |
|---|---|---|---|
| ACC | doi:10.1016/j.ccell.2016.04.002 | Comprehensive Pan-Genomic Characterization of Adrenocortical Carcinoma. | Cancer cell 2016 |
| BRCA | https://www.cell.com/cancer-cell/fulltext/S1535-6108(18)30119-3 | A Comprehensive Pan-Cancer Molecular Study of Gynecologic and Breast Cancers | Cancer cell 2018 |
| BLCA | http://www.cell.com/cell/fulltext/S0092-8674(17)31056-5 | Comprehensive Molecular Characterization of Muscle-Invasive Bladder Cancer Cell 2017 | |
| CHOL | http://www.sciencedirect.com/science/article/pii/S2211124717302140?via%3Dihub | Integrative Genomic Analysis of Cholangiocarcinoma Identifies Distinct IDH-Mutant Molecular Profiles | Cell Reports 2017 |
| COAD | http://www.nature.com/nature/journal/v487/n7407/abs/nature11252.html | Comprehensive molecular characterization of human colon and rectal cancer | Nature 2012 |
| ESCA | https://www.nature.com/articles/nature20805 | Integrated genomic characterization of oesophageal carcinoma | Nature 2017 |
| GBM | http://dx.doi.org/10.1016/j.cell.2015.12.028 | Molecular Profiling Reveals Biologically Discrete Subsets and Pathways of Progression in Diffuse Glioma | Cell 2016 |
| HNSC | http://www.nature.com/nature/journal/v517/n7536/abs/nature14129.html | Comprehensive genomic characterization of head and neck squamous cell carcinomas | Nature 2015 |
| KICH | http://www.sciencedirect.com/science/article/pii/S1535610814003043 | The Somatic Genomic Landscape of Chromophobe Renal Cell Carcinoma | Cancer cell 2014 |
| KIRC | http://www.nature.com/nature/journal/v499/n7456/abs/nature12222.html | Comprehensive molecular characterization of clear cell renal cell carcinoma | Nature 2013 |
| KIRP | http://www.nejm.org/doi/full/10.1056/NEJMoa1505917 | Comprehensive Molecular Characterization of Papillary Renal-Cell Carcinoma | NEJM 2016 |
| LIHC | http://linkinghub.elsevier.com/retrieve/pii/S0092-8674(17)30639-6 | Comprehensive and Integrative Genomic Characterization of Hepatocellular Carcinoma | Cell 2017 |
| LGG | http://dx.doi.org/10.1016/j.cell.2015.12.028 | Molecular Profiling Reveals Biologically Discrete Subsets and Pathways of Progression in Diffuse Glioma | Cell 2016 |
| LUAD | http://www.nature.com/nature/journal/v511/n7511/abs/nature13385.html | Comprehensive molecular profiling of lung adenocarcinoma | Nature 2014 |
| LUSC | http://www.nature.com/nature/journal/v489/n7417/abs/nature11404.html | Comprehensive genomic characterization of squamous cell lung cancers | Nature 2012 |
| PAAD | http://www.cell.com/cancer-cell/fulltext/S1535-6108(17)30299-4 | Integrated Genomic Characterization of Pancreatic Ductal Adenocarcinoma | Cancer Cell 2017 |
| PCPG | http://dx.doi.org/10.1016/j.ccell.2017.01.001 | Comprehensive Molecular Characterization of Pheochromocytoma and Paraganglioma | Cancer cell 2017 |
| PRAD | http://www.sciencedirect.com/science/article/pii/S0092867415013392 | The Molecular Taxonomy of Primary Prostate Cancer | Cell 2015 |
| READ | http://www.nature.com/nature/journal/v487/n7407/abs/nature11252.html | Comprehensive molecular characterization of human colon and rectal cancer | Nature 2012 |
| SARC | http://www.cell.com/cell/fulltext/S0092-8674(17)31203-5 | Comprehensive and Integrated Genomic Characterization of Adult Soft Tissue Sarcomas | Cell 2017 |
| SKCM | http://www.sciencedirect.com/science/article/pii/S0092867415006340 | Genomic Classification of Cutaneous Melanoma | Cell 2015 |
| STAD | http://www.nature.com/nature/journal/v511/n7511/abs/nature13385.html | Comprehensive molecular characterization of gastric adenocarcinoma | Nature 2013 |
| THCA | http://www.sciencedirect.com/science/article/pii/S0092867414012380 | Integrated Genomic Characterization of Papillary Thyroid Carcinoma | Cell 2014 |
| UCEC | http://www.nature.com/nature/journal/v497/n7447/abs/nature12113.html | Integrated genomic characterization of endometrial carcinoma | Nature 2013 |
| UCS | http://www.cell.com/cancer-cell/fulltext/S1535-6108(17)30053-3 | Integrated Molecular Characterization of Uterine Carcinosarcoma Cancer | Cell 2017 |
| UVM | http://www.cell.com/cancer-cell/fulltext/S1535-6108(17)30295-7 | Integrative Analysis Identifies Four Molecular and Clinical Subsets in Uveal Melanoma | Cancer Cell 2017 |
These subtypes will be automatically added in the
summarizedExperiment object through GDCprepare. But you can also use the
TCGAquery_subtype function to retrieve this
information.
## lgg subtype information from:doi:10.1016/j.cell.2015.12.028
A subset of the LGG subytpe is shown below:
## R version 4.5.2 (2025-10-31)
## Platform: x86_64-pc-linux-gnu
## Running under: Ubuntu 24.04.3 LTS
##
## Matrix products: default
## BLAS: /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3
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##
## time zone: Etc/UTC
## tzcode source: system (glibc)
##
## attached base packages:
## [1] grid stats4 stats graphics grDevices utils datasets
## [8] methods base
##
## other attached packages:
## [1] maftools_2.27.0 jpeg_0.1-11
## [3] png_0.1-8 DT_0.34.0
## [5] dplyr_1.1.4 SummarizedExperiment_1.41.0
## [7] Biobase_2.71.0 GenomicRanges_1.63.1
## [9] Seqinfo_1.1.0 IRanges_2.45.0
## [11] S4Vectors_0.49.0 BiocGenerics_0.57.0
## [13] generics_0.1.4 MatrixGenerics_1.23.0
## [15] matrixStats_1.5.0 TCGAbiolinks_2.39.0
## [17] testthat_3.3.1
##
## loaded via a namespace (and not attached):
## [1] RColorBrewer_1.1-3 sys_3.4.3
## [3] rstudioapi_0.17.1 jsonlite_2.0.0
## [5] magrittr_2.0.4 GenomicFeatures_1.63.1
## [7] farver_2.1.2 rmarkdown_2.30
## [9] fs_1.6.6 BiocIO_1.21.0
## [11] vctrs_0.6.5 memoise_2.0.1
## [13] Rsamtools_2.27.0 RCurl_1.98-1.17
## [15] htmltools_0.5.9 S4Arrays_1.11.1
## [17] usethis_3.2.1 progress_1.2.3
## [19] curl_7.0.0 SparseArray_1.11.9
## [21] sass_0.4.10 bslib_0.9.0
## [23] htmlwidgets_1.6.4 desc_1.4.3
## [25] plyr_1.8.9 httr2_1.2.2
## [27] cachem_1.1.0 GenomicAlignments_1.47.0
## [29] buildtools_1.0.0 lifecycle_1.0.4
## [31] pkgconfig_2.0.3 Matrix_1.7-4
## [33] R6_2.6.1 fastmap_1.2.0
## [35] digest_0.6.39 ShortRead_1.69.2
## [37] AnnotationDbi_1.73.0 rprojroot_2.1.1
## [39] pkgload_1.4.1 crosstalk_1.2.2
## [41] RSQLite_2.4.5 hwriter_1.3.2.1
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## [49] withr_3.0.2 downloader_0.4.1
## [51] S7_0.2.1 BiocParallel_1.45.0
## [53] DBI_1.2.3 pkgbuild_1.4.8
## [55] R.utils_2.13.0 biomaRt_2.67.0
## [57] rappdirs_0.3.3 DelayedArray_0.37.0
## [59] sessioninfo_1.2.3 rjson_0.2.23
## [61] DNAcopy_1.85.0 tools_4.5.2
## [63] otel_0.2.0 R.oo_1.27.1
## [65] glue_1.8.0 restfulr_0.0.16
## [67] gtable_0.3.6 tzdb_0.5.0
## [69] R.methodsS3_1.8.2 tidyr_1.3.1
## [71] data.table_1.17.8 hms_1.1.4
## [73] xml2_1.5.1 XVector_0.51.0
## [75] pillar_1.11.1 stringr_1.6.0
## [77] vroom_1.6.7 splines_4.5.2
## [79] BiocFileCache_3.1.0 lattice_0.22-7
## [81] deldir_2.0-4 aroma.light_3.41.0
## [83] survival_3.8-3 rtracklayer_1.71.2
## [85] bit_4.6.0 tidyselect_1.2.1
## [87] maketools_1.3.2 Biostrings_2.79.2
## [89] knitr_1.50 xfun_0.54
## [91] devtools_2.4.6 brio_1.1.5
## [93] stringi_1.8.7 yaml_2.3.12
## [95] cigarillo_1.1.0 TCGAbiolinksGUI.data_1.31.0
## [97] evaluate_1.0.5 codetools_0.2-20
## [99] interp_1.1-6 tibble_3.3.0
## [101] EDASeq_2.45.0 BiocManager_1.30.27
## [103] cli_3.6.5 jquerylib_0.1.4
## [105] Rcpp_1.1.0.8 dbplyr_2.5.1
## [107] XML_3.99-0.20 parallel_4.5.2
## [109] ellipsis_0.3.2 ggplot2_4.0.1
## [111] readr_2.1.6 blob_1.2.4
## [113] prettyunits_1.2.0 latticeExtra_0.6-31
## [115] bitops_1.0-9 pwalign_1.7.0
## [117] scales_1.4.0 purrr_1.2.0
## [119] crayon_1.5.3 BiocStyle_2.39.0
## [121] rlang_1.1.6 KEGGREST_1.51.1
## [123] rvest_1.0.5