Related Experiment Video
Updated: Jun 15, 2026

Assessing Specificity of Anticancer Drugs In Vitro
Published on: March 23, 2016
Pharmacogenomic analysis of patient-derived tumor cells in gynecologic cancers
Jason K Sa1,2,3, Jae Ryoung Hwang4, Young-Jae Cho5
1Institute for Refractory Cancer Research, Samsung Medical Center, Seoul, Republic of Korea.
Background:
Gynecologic malignancy is one of the leading causes of mortality in female adults worldwide. Comprehensive genomic analysis has revealed a list of molecular aberrations that are essential to tumorigenesis, progression, and metastasis of gynecologic tumors. However, targeting such alterations has frequently led to treatment failures due to underlying genomic complexity and simultaneous activation of various tumor cell survival pathway molecules. A compilation of molecular characterization of tumors with pharmacological drug response is the next step toward clinical application of patient-tailored treatment regimens.
Results:
Toward this goal, we establish a library of 139 gynecologic tumors including epithelial ovarian cancers (EOCs), cervical, endometrial tumors, and uterine sarcomas that are genomically and/or pharmacologically annotated and explore dynamic pharmacogenomic associations against 37 molecularly targeted drugs. We discover lineage-specific drug sensitivities based on subcategorization of gynecologic tumors and identify TP53 mutation as a molecular determinant that elicits therapeutic response to poly (ADP-Ribose) polymerase (PARP) inhibitor. We further identify transcriptome expression of inhibitor of DNA biding 2 (ID2) as a potential predictive biomarker for treatment response to olaparib.
Conclusions:
Together, our results demonstrate the potential utility of rapid drug screening combined with genomic profiling for precision treatment of gynecologic cancers.
Insights
This study explores gynecologic tumor genomics and drug responses, identifying TP53 mutations and ID2 expression as biomarkers for targeted therapies like PARP inhibitors, paving the way for precision cancer medicine.
Area of Science:
- Oncology
- Genomics
- Pharmacology
Background:
- Gynecologic malignancies are a major cause of mortality in women globally.
- Genomic complexity and pathway activation contribute to treatment failures in gynecologic cancers.
- Patient-tailored treatment requires integrating molecular tumor characterization with drug response data.
Purpose of the Study:
- To establish a pharmacogenomic library of gynecologic tumors.
- To explore drug sensitivities and identify predictive biomarkers.
- To advance precision medicine for gynecologic cancers.
Main Methods:
- Genomic and pharmacological annotation of 139 gynecologic tumors (epithelial ovarian cancers, cervical, endometrial, uterine sarcomas).
- Pharmacogenomic association analysis against 37 molecularly targeted drugs.
- Identification of lineage-specific drug sensitivities and molecular determinants.
Main Results:
- Discovered lineage-specific drug sensitivities in gynecologic tumors.
- Identified TP53 mutation as a determinant for poly (ADP-Ribose) polymerase (PARP) inhibitor response.
- Found inhibitor of DNA binding 2 (ID2) transcriptome expression as a potential predictive biomarker for olaparib treatment.
Conclusions:
- Rapid drug screening combined with genomic profiling shows utility for precision gynecologic cancer treatment.
- Biomarker identification supports the development of targeted therapeutic strategies.
- This approach can guide patient-tailored treatment regimens for improved outcomes.
More Related Videos
09:24Generation of Microtumors Using 3D Human Biogel Culture System and Patient-derived Glioblastoma Cells for Kinomic Profiling and Drug Response Testing
Published on: June 9, 2016
10:27Testing Targeted Therapies in Cancer using Structural DNA Alteration Analysis and Patient-Derived Xenografts
Published on: July 25, 2020
Related Concept Videos
Pharmacogenetics and Pharmacogenomics: Overview
Pharmacogenetic Phenotypes: Alterations in Pharmacokinetics, Drug Targets and Biologic Milieu
Pharmacogenetics of Drug Targets: β₂-Adrenergic Receptors, Apo E, Thymidylate Synthase
Pharmacogenomics: Identification of New Drug Targets