SUM102PTHomo sapiens (Human)Cancer cell line

Also known as: 102PT, Sum102, SUM102, SUM 102, SUM-102, SUM 102PT, SUM-102PT

🤖 AI SummaryBased on 11 publications

Quick Overview

SUM102PT is a human breast cancer cell line derived from an intraductal carcinoma with micro-invasion, used in cancer research.

Detailed Summary

SUM102PT is a human breast cancer cell line established from an intraductal carcinoma with micro-invasion. It is part of the SUM series of breast cancer cell lines, which are widely used in research for their molecular and genetic characteristics. SUM102PT exhibits specific genetic alterations, including mutations in the p53 gene, and is utilized in studies related to breast cancer biology, drug development, and molecular profiling. The cell line is known for its basal-like features and is often used to study the mechanisms of cancer progression and therapeutic resistance.

Research Applications

Cancer BiologyDrug DevelopmentMolecular ProfilingTherapeutic ResistanceCancer Progression

Key Characteristics

Basal-like Featuresp53 MutationsGenomic InstabilityIntraductal Carcinoma Origin
Generated on 6/20/2025

Basic Information

Database IDCVCL_3421
SpeciesHomo sapiens (Human)
Tissue SourceBreast[UBERON:UBERON_0000310]

Donor Information

Age57
Age CategoryAdult
SexFemale
Subtype FeaturesTNBC

Disease Information

DiseaseBreast carcinoma
LineageBreast
SubtypeBreast Invasive Ductal Carcinoma
OncoTree CodeIDC

DepMap Information

Source TypeAsterand
Source IDACH-001388_source

Known Sequence Variations

TypeGene/ProteinDescriptionZygosityNoteSource
MutationSimplePIK3CAp.His1047Arg (c.3140A>G)Unspecified-PubMed=25926053, PubMed=20570890
Gene deletionCDKN2A-HomozygousPossiblePubMed=26870271

Haplotype Information (STR Profile)

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

Amelogenin
X
CSF1PO
12,13
D13S317
11,12
D16S539
11,14
D18S51
13
D21S11
29,30
D3S1358
15,17
D5S818
11,12
D7S820
10,12
D8S1179
14
FGA
24,27
Penta D
10,11
Penta E
13,16
TH01
6,9.3
TPOX
8
vWA
15,18
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).

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).

Characterization of cell lines derived from breast cancers and normal mammary tissues for the study of the intrinsic molecular subtypes.

Harrell J.C., Roman E., Adamo B., Troester M.A., Perou C.M.

Breast Cancer Res. Treat. 142:237-255(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).

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).

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).

Role of epidermal growth factor receptor and STAT-3 activation in autonomous proliferation of SUM-102PT human breast cancer cells.

Sartor C.I., Dziubinski M.L., Yu C.-L., Jove R., Ethier S.P.

Cancer Res. 57:978-987(1997).