EFO-21Homo sapiens (Human)Cancer cell line
Also known as: EFO21, EFO 21
Quick Overview
EFO-21 is a human ovarian cancer cell line derived from ascites, used in cancer research for studying tumor biology and drug se...
Detailed Summary
Research Applications
Key Characteristics
Basic Information
| Database ID | CVCL_0029 |
|---|---|
| Species | Homo sapiens (Human) |
| Tissue Source | Ascites[UBERON:UBERON_0007795] |
Donor Information
| Age | 56 |
|---|---|
| Age Category | Adult |
| Sex | Female |
| Race | caucasian |
Disease Information
| Disease | Ovarian serous cystadenocarcinoma |
|---|---|
| Lineage | Ovary/Fallopian Tube |
| Subtype | Serous Ovarian Cancer |
| OncoTree Code | SOC |
DepMap Information
| Source Type | DSMZ |
|---|---|
| Source ID | ACH-000308_source |
Known Sequence Variations
| Type | Gene/Protein | Description | Zygosity | Note | Source |
|---|---|---|---|---|---|
| MutationSimple | TP53 | p.Cys124Arg (c.370T>C) | Homozygous | - | from parent cell line EFO-21 |
Haplotype Information (STR Profile)
Short Tandem Repeat (STR) profile for cell line authentication.
Loading gene expression data...
Publications
Pan-cancer proteomic map of 949 human cell lines.";
Robinson P.J., Zhong Q., Garnett M.J., Reddel R.R.
Cancer Cell 40:835-849.e8(2022).
Next-generation characterization of the Cancer Cell Line Encyclopedia.
Sellers W.R.
Nature 569:503-508(2019).
Prioritization of cancer therapeutic targets using CRISPR-Cas9 screens.
Stronach E.A., Saez-Rodriguez J., Yusa K., Garnett M.J.
Nature 568:511-516(2019).
An interactive resource to probe genetic diversity and estimated ancestry in cancer cell lines.
Dutil J., Chen Z.-H., Monteiro A.N.A., Teer J.K., Eschrich S.A.
Cancer Res. 79:1263-1273(2019).
Integrated genomic, epigenomic, and expression analyses of ovarian cancer cell lines.
Velculescu V.E., Scharpf R.B.
Cell Rep. 25:2617-2633(2018).
Characterization of human cancer cell lines by reverse-phase protein arrays.
Liang H.
Cancer Cell 31:225-239(2017).
A landscape of pharmacogenomic interactions in cancer.";
Wessels L.F.A., Saez-Rodriguez J., McDermott U., Garnett M.J.
Cell 166:740-754(2016).
TCLP: an online cancer cell line catalogue integrating HLA type, predicted neo-epitopes, virus and gene expression.
Loewer M., Sahin U., Castle J.C.
Genome Med. 7:118.1-118.7(2015).
Parallel genome-scale loss of function screens in 216 cancer cell lines for the identification of context-specific genetic dependencies.
Golub T.R., Root D.E., Hahn W.C.
Sci. Data 1:140035-140035(2014).
Evaluating cell lines as tumour models by comparison of genomic profiles.
Domcke S., Sinha R., Levine D.A., Sander C., Schultz N.
Nat. Commun. 4:2126.1-2126.10(2013).
The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity.
Morrissey M.P., Sellers W.R., Schlegel R., Garraway L.A.
Nature 483:603-607(2012).
Signatures of mutation and selection in the cancer genome.";
Deloukas P., Yang F.-T., Campbell P.J., Futreal P.A., Stratton M.R.
Nature 463:893-898(2010).
Identification of microsatellite instability and mismatch repair gene mutations in breast cancer cell lines.
Santibanez-Koref M.F., Schlag P.M., Scherneck S.
Genes Chromosomes Cancer 37:29-35(2003).