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Integrated genomic characterization of endometrial carcinoma
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SummaryWe performed an integrated genomic, transcriptomic, and proteomic characterization of 373 endometrial carcinomas using array- and sequencing-based technologies. Uterine serous tumors and ~25% of high-grade endometrioid tumors have extensive copy number alterations, few DNA methylation changes, low ER/PR levels, and frequent TP53 mutations. Most endometrioid tumors have few copy number alterations or TP53 mutations but frequent mutations in PTEN, CTNNB1, PIK3CA, ARID1A, KRAS and novel mutations in the SWI/SNF gene ARID5B. A subset of endometrioid tumors we identified had a dramatically increased transversion mutation frequency, and newly identified hotspot mutations in POLE. Our results classified endometrial cancers into four categories: POLE ultramutated, microsatellite instability hypermutated, copy number low, and copy number high. Uterine serous carcinomas share genomic features with ovarian serous and basal-like breast carcinomas. We demonstrated that the genomic features of endometrial carcinomas permit a reclassification that may impact post-surgical adjuvant treatment for women with aggressive tumors.
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“AR is up-regulated in 9.8% of endometrial adenocarcinoma grade 3 samples [63, 90].”
From Role of aldo-keto reductase family 1 (AKR1) enzymes in human steroid metabolism (2014) · cites this paper as [90]
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BackgroundMethodInfluentialUnderstanding mutagenesis through delineation of mutational signatures in human cancer
Petljak, M., & Alexandrov, L. B. (2016) · Carcinogenesis · doi:10.1093/carcin/bgw055 · Cited by 110
Solid Tumors Challenges and New Insights of CAR T Cell Engineering
Tahmasebi, S., Elahi, R., & Esmaeilzadeh, A. (2019) · Stem Cell Reviews and Reports · doi:10.1007/s12015-019-09901-7 · Cited by 115
Kolin, D. L., Quick, C. M., Dong, F., Fletcher, C. D. �., Stewart, C. J. R., Soma, A., Hornick, J. L., Nucci, M. R., & Howitt, B. E. (2019) · The American Journal of Surgical Pathology · doi:10.1097/pas.0000000000001375 · Cited by 111
Moving pan-cancer studies from basic research toward the clinic
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Self-citationZaffaroni, G., Mannucci, A., Koskenvuo, L. E., de Lacy, F. B., Maffioli, A., Bisseling, T. M., Half, E., Cavestro, G. M., Valle, L., Ryan, N. A. J., et al. (2024) · British journal of surgery · doi:10.1093/bjs/znae070 · Cited by 111
Detection of endometrial cancer via molecular analysis of DNA collected with vaginal tampons.
Bakkum-Gamez, J. N., Wentzensen, N., Maurer, M. J., Hawthorne, K. M., Voss, J. S., Kroneman, T. N., Famuyide, A. O., Clayton, A. C., Halling, K. C., Kerr, S. E., et al. (2015) · Gynecologic Oncology · doi:10.1016/j.ygyno.2015.01.552 · Cited by 107
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New perspectives on screening and early detection of endometrial cancer
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“Although the dualistic classification system remains the gold standard, a new classification system by The Cancer Genome Atlas (TCGA) Consortium based on molecular features is starting to be integrated into clinical practice.(9,10) In contrast to many common diseases that could be detected preclinically, but screening…”
BackgroundCochrane, D. R., Campbell, K. R., Greening, K., Ho, G. C., Hopkins, J., Bui, M., Douglas, J. M., Sharlandjieva, V., Munzur, A. D., Lai, D., et al. (2020) · The Journal of Pathology · doi:10.1002/path.5511 · Cited by 84
“The Cancer Genome Atlas (TCGA) demonstrated that endometrial carcinoma patients could be differentiated into four prognostically distinct subgroups [22].”
BackgroundNetwork Medicine in Pathobiology
Lee, L. Y.-H., & Loscalzo, J. (2019) · The American Journal of Pathology · doi:10.1016/j.ajpath.2019.03.009 · Cited by 95
“Oncologic research is one of the leading areas in which PARADIGM or similar algorithms have been widely adopted to integrate multiplatform patient data.(90) One of these multi-omic cancer studies recently added a novel dimension of antitumor immunity profiles to guide personalized immunotherapy.”
BackgroundAlterations of DNA damage repair in cancer: from mechanisms to applications
Jiang, M., Jia, K., Wang, L., Li, W., Chen, B., Liu, Y., Wang, H., Zhao, S., He, Y., & Zhou, C. (2020) · Annals of Translational Medicine · doi:10.21037/atm-20-2920 · Cited by 87
“Kandoth et al. identified the frequencies of MSI in DNA polymerase epsilon ( POLE ) mutations in endometrial and colorectal cancers to be 40% and 11%, respectively, and the mutation rates to be 7% and 3%, respectively (26).”
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Prognostic Integrated Image-Based Immune and Molecular Profiling in Early-Stage Endometrial Cancer
Horeweg, N., de Bruyn, M., Nout, R. A., Stelloo, E., Kedzierska, K., León‐Castillo, A., Plat, A., Mertz, K. D., Osse, M., Jurgenliemk-Schulz, I. M., et al. (2020) · Cancer Immunology Research · doi:10.1158/2326-6066.cir-20-0149 · Cited by 82
Cancer-associated mutations in endometriosis: shedding light on the pathogenesis and pathophysiology
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“Given that previous studies have shown that the association of CTNNB1 mutated tumors with poor prognosis was dependent on molecular subgroup (9), we examined our stage IA exon 3 mutated tumors in the context of other significant molecular classifiers in TCGA classification system (6); almost 80% of tumors were TP53 an…”
MethodResultPhenotype of POLE-mutated endometrial cancer
Imboden, S., Nastic, D., Ghaderi, M., Rydberg, F., Rau, T. T., Mueller, M. D., Epstein, E., & Carlson, J. W. (2019) · PLoS ONE · doi:10.1371/journal.pone.0214318 · Cited by 88
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“15 The first group, hypermutated, had somatic inactivating mutations in the exonuclease domain of polymerase epsilon (POLE), resulting in a very high mutation rate and excellent prognosis (7%).”
BackgroundGenetic characteristics of gastric-type mucinous carcinoma of the uterine cervix
Park, E., Kim, S. W., Kim, S., Kim, H.-S., Lee, J., Kim, Y. T., & Cho, N. H. (2020) · Modern Pathology · doi:10.1038/s41379-020-0614-0 · Cited by 83
Epidemiology, pathogenesis, biology and evolving management of MSI-H/dMMR cancers
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Evidence of androgen action in endometrial and ovarian cancers
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Dysregulated FGF signalling in neoplastic disorders
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Reverse phase protein arrays in signaling pathways: a data integration perspective
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PD-L1 Expression in Endometrial Carcinoma Cells and Intratumoral Immune Cells
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Krämer, P., Talhouk, A., Brett, M. A., Chiu, D. S., Cairns, E. S., Scheunhage, D. A., Hammond, R. F. L., Farnell, D., Nazeran, T. M., Grube, M. P., et al. (2020) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-20-1268 · Cited by 67
Casey, L., & Singh, N. (2020) · International Journal of Gynecological Pathology · doi:10.1097/pgp.0000000000000710 · Cited by 68
“About 7% to 12% of ECs demonstrate mutations in the exonuclease domain of POLE (11,14).”
BackgroundMethodBrett, M. A., Atenafu, E. G., Singh, N., Ghatage, P., Clarke, B. A., Nelson, G. S., Bernardini, M. Q., & Köbel, M. (2020) · International Journal of Gynecological Pathology · doi:10.1097/pgp.0000000000000674 · Cited by 65
“A molecular subtype classification has been proposed for endometrial carcinoma following The Cancer Genome Atlas (TCGA) project (1).”
BackgroundResultInfluentialBrain high-throughput multi-omics data reveal molecular heterogeneity in Alzheimer’s disease
Eteleeb, A. M., Novotny, B. C., Tarraga, C. S., Sohn, C., Dhungel, E., Brase, L., Nallapu, A., Buss, J., Farias, F., Bergmann, K., et al. (2024) · PLOS Biology · doi:10.1371/journal.pbio.3002607 · Cited by 64
Molecular characterization of endometrial cancer and therapeutic implications
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Clear cell endometrial carcinoma and the TCGA classification
Travaglino, A., Raffone, A., Mascolo, M., Guida, M., Insabato, L., Zannoni, G. F., & Zullo, F. (2019) · Histopathology · doi:10.1111/his.13976 · Cited by 65
“Conversely, the CNH subgroup (also referred to as the ‘serous’ subgroup) is mainly composed of serous carcinomas and bears the worst prognosis among all TCGA subgroups.(1) Therefore, it might be hypothesized that some CCCs are biologically similar to endometrioid carcinoma and have a better prognosis, while some are s…”
BackgroundInfluentialYasin, H. K., Taylor, A. H., & Ayakannu, T. (2021) · Cancers · doi:10.3390/cancers13092149 · Cited by 65
“Copy number groups are defined by a differential profile of copy alterations (CNA), with the CNH group particularly presenting an elevated incidence of tumour suppressor p53 (TP53) mutations and worse prognosis when compared to the low copy number group [70].”
BackgroundMethod
Metadata
- Authors
- The Cancer Genome Atlas Research Network, & Levine, D. A.
- Affiliations
- Memorial Sloan Kettering Cancer Center (US)
- Corresponding author
- Levine, Douglas A.
- ORCID
- Levine, Douglas A.
- Venue
- Nature
- Published
- 2013-05-01
- Volume
- 497
- Issue
- 7447
- Pages
- 67-73
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC3704730
- OpenAlex
- W2041440766
- Cited by
- 5,784
- References
- 40
- Citations by year
- 2026: 467 · 2025: 580 · 2024: 559 · 2023: 595 · 2022: 591 · 2021: 572 · 2020: 455 · 2019: 384 · 2018: 320 · 2017: 328 · 2016: 313 · 2015: 285 · 2014: 231 · 2013: 96
- FWCI
- 345.78
- Type
- journal article
- Language
- en
- Update notices
- erratum (2013-06-12)
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Nature (publishedVersion, cc-by-nc-sa)
- PubMed Central (publishedVersion, cc-by-nc-sa)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- National Institutes of Health
- National Human Genome Research Institute (U54HG003067, U54HG003079, U54HG003273)
- National Cancer Institute (P50CA098258, U24CA143882, R01CA180006, U24CA143843, U24CA143840, U24CA143858, U24CA144025, U24CA143866, U24CA143883, U24CA143845, U24CA143867, U24CA143848, U24CA143799, U24CA143835, P30CA008748, P30CA016672, P30CA016056, P30CA016086)
- Topics
- Health Sciences › Medicine › Obstetrics and Gynecology › Endometrial and Cervical Cancer Treatments
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Chromatin Remodeling and Cancer
- Keywords
- endometrial cancer, uterine serous carcinoma, endometrioid carcinoma, copy number alterations, TP53 mutation, POLE mutation, microsatellite instability, ARID5B, SWI/SNF chromatin remodeling, CTNNB1, PIK3CA, KRAS, PTEN, DNA methylation, oestrogen receptor, progesterone receptor, adjuvant therapy, genomic profiling
- MeSH terms
- Poly-ADP-Ribose Binding Proteins, Breast Neoplasms, Chromosome Aberrations, DNA Mutational Analysis, DNA Polymerase II, DNA-Binding Proteins, Female, Humans, Ovarian Neoplasms, Transcription Factors, Signal Transduction, Genome, Human, Gene Expression Regulation, Neoplastic, Endometrial Neoplasms, Genomics, DNA Copy Number Variations, Exome
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