Endometrial Cancer Cell Models for Research

Disease Burden and Research Significance

Epidemiology and Clinical Impact

Endometrial cancer is the most common gynecologic malignancy in developed countries, with an estimated 417,000 new cases and 97,000 deaths worldwide in 2020 (WHO GLOBOCAN). The incidence is rising due to increasing obesity rates and an aging population. The overall 5-year survival is approximately 81%, but it drops to 17% for distant-stage disease (NCI SEER). Risk factors include unopposed estrogen exposure, obesity, diabetes, and Lynch syndrome. The disease is broadly classified into two types: type I (endometrioid, estrogen-driven, often PTEN-mutant) and type II (serous, clear cell, more aggressive, often TP53-mutant).

Value as a Research Model

Endometrial cancer is ideal for mechanistic studies due to its well-defined molecular subtypes, extensive public datasets (TCGA), and the availability of numerous cell lines representing different genetic backgrounds. Open questions include the role of specific mutations in tumor initiation and progression, mechanisms of hormone independence, and resistance to therapies. Gene-edited cell models are crucial for dissecting these mechanisms and for preclinical drug development.

Core Molecular Pathogenesis

Major Carcinogenic Pathways

The major pathways involved in endometrial cancer pathogenesis include:

1. PI3K/AKT/mTOR pathway: Frequently activated by mutations in PIK3CA, PTEN, and PIK3R1. This pathway promotes cell survival, proliferation, and growth.

2. Wnt/β-catenin pathway: CTNNB1 mutations lead to β-catenin stabilization and activation of target genes involved in proliferation and invasion.

3. p53 pathway: TP53 mutations are common in serous and high-grade tumors, leading to genomic instability and aggressive behavior.

4. Mismatch repair (MMR) pathway: Defects in MMR genes (MLH1, MSH2, MSH6, PMS2) cause microsatellite instability and hypermutation, as seen in the POLE-mutated and MSI subtypes.

High-Frequency Genetic Alterations
GeneFrequency (%)Mutation TypeFunctional Effect
PTEN78% (endometrioid)Loss-of-function, frameshift, nonsenseActivation of PI3K/AKT pathway, tumor suppressor loss
PIK3CA52%Missense, activatingConstitutive activation of PI3K/AKT pathway
ARID1A43%Loss-of-functionChromatin remodeling defect, genomic instability
CTNNB126%Missense, activatingβ-catenin stabilization, Wnt pathway activation
TP5325% (overall), 90% (serous)Missense, loss-of-functionLoss of cell cycle control, genomic instability
KRAS15%Missense, activatingMAPK pathway activation
POLE7%Missense, exonuclease domainHypermutation, favorable prognosis

Data from TCGA and COSMIC.

Deregulated Signaling Networks

Key signaling networks deregulated in endometrial cancer include:

  • • PI3K/AKT/mTOR: PTEN loss, PIK3CA mutations, and AKT activation. Downstream effectors include mTORC1, FOXO, and GSK3β.
  • • MAPK/ERK: KRAS and BRAF mutations lead to constitutive activation of MEK/ERK, promoting proliferation.
  • • Wnt/β-catenin: CTNNB1 mutations or loss of APC/axin lead to nuclear β-catenin accumulation and TCF/LEF transcription.
  • • p53: TP53 mutations disrupt cell cycle arrest and apoptosis.
  • • MMR: Defects in mismatch repair lead to microsatellite instability and accumulation of mutations in other genes.

Experimental Model Systems

Cell Lines and Organoids

Common endometrial cancer cell lines and their key mutations:

Cell LineOriginKey Mutations
IshikawaEndometrioid adenocarcinomaPTEN null, PIK3CA wild-type, ER+
HEC-1-AEndometrioid adenocarcinomaPTEN wild-type, PIK3CA mutant, TP53 mutant
HEC-1-BEndometrioid adenocarcinomaPTEN wild-type, PIK3CA mutant, TP53 mutant
KLEEndometrioid adenocarcinomaPTEN mutant, PIK3CA mutant, TP53 mutant
RL95-2Endometrioid adenocarcinomaPTEN mutant, PIK3CA mutant, CTNNB1 mutant
AN3CAEndometrioid adenocarcinomaPTEN mutant, PIK3CA mutant, TP53 mutant
ECC-1Endometrioid adenocarcinomaPTEN null, PIK3CA wild-type, ER+
SPEC-2Serous carcinomaTP53 mutant, PIK3CA mutant

Organoids derived from patient tumors recapitulate the heterogeneity and can be gene-edited for functional studies.

Animal Models (PDX, GEMM, Induced)

Animal models for endometrial cancer include:

  • • Patient-derived xenografts (PDX): Implantation of patient tumor tissue into immunodeficient mice, preserving tumor heterogeneity.
  • • Genetically engineered mouse models (GEMM): Conditional knockout of Pten in the uterus (e.g., PtenloxP/loxP; Amhr2-Cre) leads to endometrial cancer.
  • • Induced models: Administration of estrogen or chemical carcinogens to induce tumors.
  • • Orthotopic models: Injection of cancer cells into the uterine horn of mice.
Gene-Edited Cell Models

CRISPR-Cas9 gene editing enables the creation of isogenic cell lines with specific mutations, providing powerful tools for functional studies. Examples include:

  • • PTEN knockout cell lines: Generated in a PTEN-wild-type background to study the effects of PTEN loss on PI3K/AKT activation and drug sensitivity.
  • • PIK3CA knock-in cell lines: Introducing activating mutations (e.g., H1047R) into a wild-type background to assess oncogenic potential.
  • • TP53 knockout cell lines: To study the role of p53 in genomic stability and response to DNA-damaging agents.
  • • Reporter cell lines: e.g., GFP-tagged proteins for live-cell imaging.

These models are commercially available from various sources and are sequence-verified, accelerating research without the need for in-house editing.

Related Disease

Disease name Disease type

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Applications of Gene-Edited Cells

Functional Genomics

Gene-edited cell lines are essential for validating the function of genes implicated in endometrial cancer. For example:

  • • PTEN knockout in Ishikawa cells (which are PTEN-null) can be used to restore PTEN expression to study its tumor-suppressive effects.
  • • PIK3CA knock-in in HEC-1-A cells (which have endogenous PIK3CA mutation) can be used to compare the effects of different mutations.
  • • ARID1A knockout models help elucidate the role of chromatin remodeling in tumor progression.
Drug Screening and Resistance

Isogenic pairs (wild-type vs. mutant) are used for drug screening to identify compounds that selectively target mutant cells. For example:

  • • PTEN-null cells are more sensitive to PI3K inhibitors, which can be tested in isogenic PTEN knockout lines.
  • • PIK3CA-mutant cells show differential sensitivity to mTOR inhibitors.
  • • Resistance models can be generated by chronic exposure to drugs, and gene editing can be used to introduce specific resistance mutations.
Biomarker Discovery

CRISPR-based synthetic lethality screens can identify genes that are essential in specific genetic backgrounds. For example:

  • • In PTEN-null cells, screening for genes that become essential can reveal novel therapeutic targets.
  • • Gene-edited reporter lines can be used to monitor pathway activation in high-throughput screens.

Public Data Resources

DatabaseURLDescription
TCGAhttps://portal.gdc.cancer.gov/The Cancer Genome Atlas: genomic, transcriptomic, and clinical data for endometrial cancer.
cBioPortalhttps://www.cbioportal.org/Visualization and analysis of cancer genomics data.
DepMaphttps://depmap.org/portal/Dependency map: CRISPR screens and RNAi data for cancer cell lines.
GEOhttps://www.ncbi.nlm.nih.gov/geo/Gene Expression Omnibus: microarray and RNA-seq data.
COSMIChttps://cancer.sanger.ac.uk/cosmicCatalogue of Somatic Mutations in Cancer.
ClinVarhttps://www.ncbi.nlm.nih.gov/clinvar/Clinically relevant genetic variants.
UniProthttps://www.uniprot.org/Protein sequence and functional information.

Frequently Asked Research Questions

Ishikawa cells are PTEN-null and are commonly used. Alternatively, you can generate a PTEN knockout in a PTEN-wild-type line like HEC-1-A to create an isogenic pair.
Use CRISPR knock-in to introduce a specific mutation (e.g., H1047R) into a wild-type background. Commercially available isogenic lines are also available.
ARID1A is a tumor suppressor involved in chromatin remodeling. Loss-of-function mutations are common and lead to genomic instability. Knockout models can help study its function.
Knockout models are useful for studying loss-of-function, while knock-in models are used to study specific gain-of-function mutations. The choice depends on your research question.
Yes, isogenic pairs are ideal for high-throughput screening to identify compounds that selectively target mutant cells. Many are commercially available.

Key References and Database URLs

WHO GLOBOCAN 2020 https://gco.iarc.fr/today
NCI SEER Endometrial Cancer Statistics https://seer.cancer.gov/statfacts/html/corp.html
TCGA Endometrial Cancer Study https://www.cancer.gov/tcga
cBioPortal Endometrial Cancer https://www.cbioportal.org/study/summary?id=ucectcgapancanatlas_2018
DepMap Portal https://depmap.org/portal/
COSMIC Endometrial Cancer https://cancer.sanger.ac.uk/cosmic
NCBI Gene https://www.ncbi.nlm.nih.gov/gene
UniProt https://www.uniprot.org/
ClinVar https://www.ncbi.nlm.nih.gov/clinvar/
GEO https://www.ncbi.nlm.nih.gov/geo/
WHO GLOBOCAN 2020 https://gco.iarc.fr/
NCI SEER Cancer Stat Facts https://seer.cancer.gov/statfacts/html/corp.html
TCGA Endometrial Cancer Data https://portal.gdc.cancer.gov/projects/TCGA-UCEC
COSMIC https://cancer.sanger.ac.uk/cosmic
DepMap https://depmap.org/portal/
NCBI Gene https://www.ncbi.nlm.nih.gov/gene/
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