SUM52PEHomo sapiens (Human)Cancer cell line

Also known as: 52PE, SUM52, SUM 52, SUM-52, SUM-52-PE, SUM 52PE, SUM-52PE

🤖 AI SummaryBased on 16 publications

Quick Overview

SUM52PE is a breast cancer cell line derived from pleural effusion, used in cancer research.

Detailed Summary

SUM52PE is a breast cancer cell line established from a pleural effusion, commonly used in cancer research to study tumor biology and therapeutic responses. It is part of the SUM series of breast cancer cell lines, known for their diverse molecular characteristics and utility in preclinical studies. SUM52PE exhibits specific genetic and molecular features that make it a valuable model for investigating breast cancer mechanisms and drug development. Research on this cell line has contributed to understanding oncogenic pathways and resistance mechanisms in breast cancer.

Research Applications

Cancer biology researchDrug developmentOncogenic pathway studiesTherapeutic response analysis

Key Characteristics

Derived from pleural effusionPart of the SUM seriesDiverse molecular profilesUsed in preclinical studies
Generated on 6/20/2025

Basic Information

Database IDCVCL_3425
SpeciesHomo sapiens (Human)
Tissue SourcePleural effusion[UBERON:UBERON_0000175]

Donor Information

Age CategoryUnknown
SexFemale
Subtype Featuresluminal TNBC

Disease Information

DiseaseBreast carcinoma
LineageBreast
SubtypeInvasive Breast Carcinoma
OncoTree CodeBRCA

DepMap Information

Source TypeAsterand
Source IDACH-001396_source

Known Sequence Variations

TypeGene/ProteinDescriptionZygosityNoteSource
MutationSimpleTP53p.Arg213Ter (c.637C>T)Unspecified-Unknown
MutationSimpleCDKN2Ap.Ala68Val (c.203C>T)Homozygous-from parent cell line SUM52PE

Haplotype Information (STR Profile)

Short Tandem Repeat (STR) profile for cell line authentication.

Amelogenin
X
CSF1PO
10,11
D13S317
12
D16S539
10
D18S51
16
D21S11
27,28
D3S1358
18
D5S818
11,12
D7S820
12,14
D8S1179
13
FGA
21
Penta D
9,12
Penta E
13,17
TH01
7,9.3
TPOX
8
vWA
17
Gene Expression Profile
Gene expression levels and statistical distribution
Loading cohorts...
Full DepMap dataset with combined data across cell lines

Loading gene expression data...

Publications

Development and implementation of the SUM breast cancer cell line functional genomics knowledge base.

Duchinski K., Couch D., Gray J.W., Kappler C.S.

NPJ Breast Cancer 6:30.1-30.14(2020).

Activating mutations in PIK3CB confer resistance to PI3K inhibition and define a novel oncogenic role for p110beta.

Hampton G.M., Lackner M.R.

Cancer Res. 76:1193-1203(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).

A catalog of HLA type, HLA expression, and neo-epitope candidates in human cancer cell lines.

Boegel S., Lower M., Bukur T., Sahin U., Castle J.C.

OncoImmunology 3:e954893.1-e954893.12(2014).

A resource for cell line authentication, annotation and quality control.

Neve R.M.

Nature 520:307-311(2015).

A comprehensive transcriptional portrait of human cancer cell lines.

Settleman J., Seshagiri S., Zhang Z.-M.

Nat. Biotechnol. 33:306-312(2015).

Modeling precision treatment of breast cancer.";

Collisson E.A., van 't Veer L.J., Spellman P.T., Gray J.W.

Genome Biol. 14:R110.1-R110.14(2013).

miRNA expression profiling of 51 human breast cancer cell lines reveals subtype and driver mutation-specific miRNAs.

Martens J.W.M.

Breast Cancer Res. 15:R33.1-R33.17(2013).

Phenotypic and molecular characterization of MCF10DCIS and SUM breast cancer cell lines.

Barnabas N., Cohen D.

Int. J. Breast Cancer 2013:872743.1-872743.16(2013).

Triple negative breast cancer cell lines: one tool in the search for better treatment of triple negative breast cancer.

Chavez K.J., Garimella S.V., Lipkowitz S.

Breast Dis. 32:35-48(2010).

Distinct gene mutation profiles among luminal-type and basal-type breast cancer cell lines.

den Bakker M.A., Foekens J.A., Martens J.W.M., Schutte M.

Breast Cancer Res. Treat. 121:53-64(2010).

Molecular profiling of breast cancer cell lines defines relevant tumor models and provides a resource for cancer gene discovery.

Pollack J.R.

PLoS ONE 4:E6146-E6146(2009).

A collection of breast cancer cell lines for the study of functionally distinct cancer subtypes.

Johnson M.D., Lippman M.E., Ethier S.P., Gazdar A.F., Gray J.W.

Cancer Cell 10:515-527(2006).

Thirteen new p53 gene mutants identified among 41 human breast cancer cell lines.

Wasielewski M., Elstrodt F., Klijn J.G.M., Berns E.M.J.J., Schutte M.

Breast Cancer Res. Treat. 99:97-101(2006).

BRCA1 mutation analysis of 41 human breast cancer cell lines reveals three new deleterious mutants.

van den Ouweland A.M.W., Merajver S.D., Ethier S.P., Schutte M.

Cancer Res. 66:41-45(2006).

Evidence that both genetic instability and selection contribute to the accumulation of chromosome alterations in cancer.

Edwards P.A.W., Caldas C.

Carcinogenesis 26:923-930(2005).

A recurrent chromosome translocation breakpoint in breast and pancreatic cancer cell lines targets the neuregulin/NRG1 gene.

Edwards P.A.W., Chaffanet M.

Genes Chromosomes Cancer 37:333-345(2003).

Comparative genomic hybridization analysis of 38 breast cancer cell lines: a basis for interpreting complementary DNA microarray data.

Gooden G.C., Ethier S.P., Kallioniemi A.H., Kallioniemi O.-P.

Cancer Res. 60:4519-4525(2000).

Molecular cytogenetic analysis of 11 new breast cancer cell lines.";

Kallioniemi O.-P., Ethier S.P.

Br. J. Cancer 81:1328-1334(1999).

Constitutive activation of pp125fak in newly isolated human breast cancer cell lines.

Ignatoski K.M.W., Ethier S.P.

Breast Cancer Res. Treat. 54:173-182(1999).