Ovarian Cancer Model Development
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Ovarian Cancer Model Development

Developing robust ovarian cancer models is crucial for advancing cancer research, enabling the study of disease mechanisms, drug screening, and optimization of therapeutic strategies. Alfa Cytology is dedicated to advancing ovarian cancer treatment by creating a diverse array of in vitro and in vivo models tailored to meet various experimental requirements.

Introduction to Ovarian Cancer Model

To accurately replicate human ovarian cancer, preclinical models have been developed. These models simulate tumor progression and metastasis, proving valuable in translational research. They serve as crucial platforms for understanding disease mechanisms, screening potential drugs, and optimizing therapies. Additionally, the availability of diverse models allows researchers to select the most suitable one for studying various disease subtypes and specific molecular mechanisms.

Summary of current mouse and 3D in vitro models of ovarian cancer.Fig. 1. Summary of current mouse and 3D in vitro models of ovarian cancer. (TSANG S I, et al., 2022)

Advantages of Ovarian Cancer Model

Ovarian cancer models are versatile tools for a wide range of experimental applications, offering significant advantages in understanding cancer biology and evaluating therapeutic interventions.

  • Biological Behavior Simulation: The model simulates human ovarian cancer behaviors, including tumor growth, metastasis, and drug response.
  • Pathogenesis Research: Researchers use the model to explore ovarian cancer pathogenesis, revealing key molecular pathways and biomarkers.
  • Drug Screening and Efficacy Assessment: The models support new drug screening and efficacy evaluation, studying different chemotherapies and targeted therapies.
  • Metastatic Process Observation: The models facilitate studying tumor cell metastatic ability and processes, providing crucial insights into metastatic mechanisms.

Our Services

Alfa Cytology offers comprehensive development and optimization services for a wide range of in vitro and in vivo ovarian cancer models. By integrating advanced cell lines, animal models, and organoid technologies, Alfa Cytology aims to provide researchers and pharmaceutical companies with efficient, all-inclusive solutions to expedite ovarian cancer research and therapeutic innovation.

2D Cell Lines and Panels

  • A2780
  • SKOV3
  • IGROV1
  • COV434
  • HO8910

3D Tumor Model

  • Tumor Spheroid Culture
  • Scaffold-Based Culture
  • Co-Culture Models
  • Hydrogel-Based 3D Model
  • Microfluidic Chip Model

Organoids Model

  • Recreating Tumor Microenvironment
  • Mechanistic Research
  • Biomarker Discovery
  • Metabolic Profiling

Xenograft Model

  • Subcutaneous Tumor Model
  • CDX Mouse/Rat Model
  • Disseminated Tumor Model

Syngeneic Model

  • ID8 Syngeneic Model
  • MOC1 Model
  • MOC2 Model

Genetically Engineered Model

  • Knockout Mice (such as TP53, BRCA1 / BRCA2)
  • Transgenic Mice (such as KRAS, c-Myc)

Patient-Derived Xenograft (PDX) Model

  • Highly Differentiated Plasmacytoid Ovarian Cancer Model
  • Clear Cell Ovarian Cancer Model

Orthotopic Model

  • OVCAR-3
  • SKOV-3
  • HeyA8
  • COV362

Metastatic Model

  • Peritoneal Metastasis
  • Lymph Node Metastasis
  • Liver Metastasis Model
  • Lung Metastasis Model
  • Bone Metastasis Model

Therapeutic Development for Ovarian Cancer

Ovarian cancer models are vital for studying tumor biology and evaluating new therapies' efficacy and safety. By mimicking the tumor microenvironment, these models provide a crucial platform for screening potential treatments.

With an outstanding research team and a diverse range of ovarian cancer models, Alfa Cytology is exceptionally well-equipped to support your research endeavors. We offer robust solutions for studying tumor biology, evaluating new therapeutics, and advancing our understanding of ovarian cancer. Please contact us with any feedback on our services.

Reference

  1. TSANG S I, HASSAN A A, TO S K Y, et al. Experimental models for ovarian cancer research [J]. Experimental Cell Research, 2022, 416(1): 113150.

! For research use only.