Familial Isolated Hyperparathyroidism (FIHP) Cell Models for Research

Disease Burden and Research Significance

Epidemiology and Clinical Impact

Familial isolated hyperparathyroidism (FIHP) is a rare hereditary disorder characterized by primary hyperparathyroidism (PHPT) without other syndromic features. The exact prevalence is unknown, but it accounts for approximately 1-5% of all PHPT cases (source: NCI). PHPT itself affects about 1 in 1,000 adults, with a female-to-male ratio of 3:1, and incidence increases with age (WHO). The clinical impact includes hypercalcemia, nephrolithiasis, osteoporosis, and neurocognitive symptoms. Parathyroid carcinoma is rare but can occur, with a 5-year survival of approximately 50% for metastatic disease (NCI SEER). FIHP is often underdiagnosed, and genetic testing is crucial for management.

Value as a Research Model

FIHP is an ideal model for studying parathyroid tumorigenesis and calcium homeostasis. It involves multiple genes (MEN1, CASR, CDC73, and others) with incomplete penetrance, making it a powerful system to dissect genotype-phenotype correlations. Public datasets, such as TCGA (though limited for parathyroid), COSMIC, and ClinVar, provide mutation data. Open questions include the role of epigenetic modifications and the identification of novel causative genes. Gene-edited cell models enable functional validation of these variants, accelerating mechanistic research.

Core Molecular Pathogenesis

Major Carcinogenic Pathways

The pathogenesis of FIHP involves disruption of calcium-sensing and cell growth regulatory pathways. Key pathways include:

  • • Calcium-Sensing Pathway: The CASR gene encodes a G-protein-coupled receptor that regulates PTH secretion. Loss-of-function mutations reduce sensitivity to extracellular calcium, leading to inappropriate PTH release.
  • • Cell Cycle Regulation: MEN1 encodes menin, a tumor suppressor that interacts with histone methyltransferases to regulate gene transcription. Loss of menin leads to unchecked cell proliferation.
  • • Wnt/β-catenin Signaling: CDC73 (parafibromin) is a component of the PAF1 complex, which regulates histone modifications and Wnt target genes. Mutations lead to constitutive Wnt signaling.
  • • Apoptosis and Autophagy: Dysregulation of these processes contributes to parathyroid cell survival.
High-Frequency Genetic Alterations
GeneFrequency (%)Mutation TypeFunctional Effect
MEN150-70%Inactivating (frameshift, nonsense, splice)Loss of tumor suppressor menin, leading to cell proliferation
CASR10-20%Missense, inactivatingReduced calcium sensing, elevated PTH secretion
CDC735-10%Inactivating (nonsense, frameshift)Loss of parafibromin, activating Wnt signaling
CDKN1B1-5%Loss-of-functionLoss of p27, cell cycle dysregulation

Data from TCGA and COSMIC (parathyroid carcinoma and adenoma datasets).

Deregulated Signaling Networks

Deregulated networks in FIHP include:

  • • Wnt/β-catenin pathway: Key nodes: β-catenin, TCF/LEF transcription factors, cyclin D1. Mutations in CDC73 lead to nuclear accumulation of β-catenin.
  • • PI3K/AKT/mTOR pathway: Often activated in parathyroid tumors, promoting cell growth and survival.
  • • MAPK/ERK pathway: Crosstalk with calcium signaling; aberrant activation contributes to proliferation.
  • • Cell cycle checkpoints: Loss of menin and p27 disrupts G1/S transition.

Experimental Model Systems

Cell Lines and Organoids
Cell LineOriginKey Mutations
BHP-1Human parathyroid adenomaMEN1, CASR mutations
BHP-2Human parathyroid carcinomaCDC73 mutation
PTH-C1Rat parathyroidCASR wild-type (used for calcium studies)

Organoids derived from patient parathyroid tissue are emerging as more physiologically relevant models, allowing 3D culture and long-term expansion. They retain genetic heterogeneity and can be used for drug testing.

Animal Models (PDX, GEMM, Induced)

Animal models for FIHP include:

  • • PDX (Patient-Derived Xenografts): Parathyroid tumor tissue implanted into immunodeficient mice; useful for drug efficacy studies.
  • • GEMM (Genetically Engineered Mouse Models): Men1 knockout mice develop parathyroid hyperplasia and hypercalcemia, recapitulating FIHP.
  • • Inducible models: CRISPR-based conditional knockouts allow temporal control of gene deletion.
Gene-Edited Cell Models

CRISPR-based gene editing enables the creation of isogenic cell lines with precise mutations in FIHP-related genes. For example:

  • • MEN1 knockout in immortalized parathyroid cells (e.g., BHP-1) to study loss-of-function effects.
  • • CASR missense mutations (e.g., R185Q) introduced via HDR to model calcium-sensing defects.
  • • CDC73 truncation to activate Wnt signaling.

These models are commercially available or can be custom-generated by CROs. Sequence-verified, clonally derived lines ensure reproducibility and accelerate research. They are essential for drug screening and functional validation.

Related Disease

Disease name Disease type

Related Products

Product name Cat.No. Species Gene ID
MEN1 Knockout HEK293 Cell Line EDJ-KQ3213 Human 4221 Details Get a Quote
GCM2 Knockout HEK293 Cell Line EDJ-KQ6520 Human 9247 Details Get a Quote
MEN1 Knockout A-549 Cell Line EDJ-KQ26048 Human 4221 Details Get a Quote
MEN1 Knockout HCT 116 Cell Line EDJ-KQ26049 Human 4221 Details Get a Quote
MEN1 Knockout HeLa Cell Line EDJ-KQ26050 Human 4221 Details Get a Quote
GCM2 Knockout HeLa Cell Line EDJ-KQ55112 Human 9247 Details Get a Quote
GCM2 Knockout A-549 Cell Line EDJ-KQ63591 Human 9247 Details Get a Quote
GCM2 Knockout HCT 116 Cell Line EDJ-KQ72057 Human 9247 Details Get a Quote

Applications of Gene-Edited Cells

Functional Genomics

Knockout and knock-in lines are used to validate the functional impact of FIHP-associated variants. For example, CRISPR-mediated MEN1 knockout in parathyroid cells leads to increased proliferation and altered gene expression, confirming its tumor suppressor role. Similarly, introducing a CASR mutation can recapitulate the hypercalcemia phenotype, allowing mechanistic studies.

Drug Screening and Resistance

Isogenic pairs (wild-type vs. mutant) are invaluable for drug screening. For instance, calcimimetics (e.g., cinacalcet) can be tested on CASR-mutant cells to assess efficacy. Resistance mechanisms can be studied by chronic exposure to drugs and subsequent genomic analysis.

Biomarker Discovery

CRISPR synthetic lethality screens can identify vulnerabilities in FIHP cells. For example, MEN1-deficient cells may be sensitive to inhibitors of specific epigenetic modifiers, revealing novel therapeutic targets and biomarkers.

Public Data Resources

DatabaseURLDescription
TCGAhttps://www.cancer.gov/tcgaComprehensive genomic data for multiple cancers, including parathyroid carcinoma (limited)
cBioPortalhttps://www.cbioportal.orgVisualization and analysis of cancer genomics data
DepMaphttps://depmap.orgCRISPR screens and dependency data for cancer cell lines
GEOhttps://www.ncbi.nlm.nih.gov/geo/Gene expression datasets, including parathyroid studies
ClinVarhttps://www.ncbi.nlm.nih.gov/clinvar/Curated variants and their clinical significance
COSMIChttps://cancer.sanger.ac.uk/cosmicSomatic mutation catalog for cancers

Frequently Asked Research Questions

BHP-1 and BHP-2 are commonly used, but they are not widely available. Gene-edited parathyroid cell lines (e.g., MEN1 knockout) are recommended for controlled experiments.
Use CRISPR base editing or HDR to introduce specific missense mutations (e.g., R185Q) in a parathyroid cell line. Commercially available services can provide validated clones.
Yes, patient-derived parathyroid organoids are being developed, but they are not yet standard. They offer advantages for drug testing.
CDC73 mutations are associated with parathyroid carcinoma and loss of parafibromin, leading to Wnt pathway activation.
Yes, isogenic cell lines are amenable to high-throughput screens, especially for identifying synthetic lethal partners.

Key References and Database URLs

WHO https://www.who.int
NCI https://www.cancer.gov
NCBI Gene https://www.ncbi.nlm.nih.gov/gene/
ClinVar https://www.ncbi.nlm.nih.gov/clinvar/
UniProt https://www.uniprot.org
DepMap https://depmap.org
COSMIC https://cancer.sanger.ac.uk/cosmic
TCGA https://www.cancer.gov/tcga
cBioPortal https://www.cbioportal.org
GEO https://www.ncbi.nlm.nih.gov/geo/
Contact Us
*
*
*
How did you hear about us: