2019
DOI: 10.1016/j.canep.2019.06.003
|View full text |Cite
|
Sign up to set email alerts
|

Defining a mutational signature for endometrial cancer screening and early detection

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
2

Citation Types

0
5
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
7

Relationship

3
4

Authors

Journals

citations
Cited by 8 publications
(5 citation statements)
references
References 18 publications
0
5
0
Order By: Relevance
“…Briefly, DNA mutation analysis was performed for five genes ( PTEN , TP53 , PIK3CA , ARID1A , and CTNNB1 ) that led to the highest sensitivity of identifying cancers (ie, 92.9%) in The Cancer Genome Atlas data set, as previously described. 25…”
Section: Methodsmentioning
confidence: 99%
“…Briefly, DNA mutation analysis was performed for five genes ( PTEN , TP53 , PIK3CA , ARID1A , and CTNNB1 ) that led to the highest sensitivity of identifying cancers (ie, 92.9%) in The Cancer Genome Atlas data set, as previously described. 25…”
Section: Methodsmentioning
confidence: 99%
“…Because CA-125 levels may be elevated in numerous benign conditions, such as adenomyosis, uterine fibroids, and endometriosis, the determination of CA-125 alone seems to be insufficient. In turn, Costas et al [ 18 ] developed an algorithm to identify patients with EC using genetic molecular tests. Targeting the 50 most representative point mutations resulted in a sensitivity of over 80%, although at a high cost and requiring a technology able to sequence large DNA regions [ 18 ].…”
Section: Discussionmentioning
confidence: 99%
“…In turn, Costas et al [ 18 ] developed an algorithm to identify patients with EC using genetic molecular tests. Targeting the 50 most representative point mutations resulted in a sensitivity of over 80%, although at a high cost and requiring a technology able to sequence large DNA regions [ 18 ].…”
Section: Discussionmentioning
confidence: 99%
“…We used an NGS custom panel targeting exonic regions and intron-exon boundaries of 47 genes recurrently mutated in endometrial cancer, based on an analyses of The Cancer Genome Atlas (TCGA) dataset, 31 to evaluate the variants in cervicovaginal samples and molecularly classify cancer cases (ClassEC test). The panel consisted of the following genes: POLE, TP53, PTEN, PIK3CA, PIK3R1, ARID1A, KRAS, CTNNB1, FBXW7, KMT2D, CHD4, CSMD3, KCNG4, NIPBL, PPP2R1A, RPL22, SETD1B, RNF43, JAK1, FGFR2, BCOR, DOCK3, SPOP, SOX17, ACVR2A, CTCF, SOS1, LZTR1, AP4E1, ARHGAP35, MYOM1, BAX, WWC3, SOX5, RACGAP1, TNRC6A, HOXD8, KRIT1, PAX2, AKT1, APC, BRAF, CDKN2A, EGFR, MAPK1, NRAS, and SPEN.…”
Section: Methodsmentioning
confidence: 99%