| Literature DB >> 31703723 |
Sander Dumont1, Ziga Jan2,3, Ruben Heremans1,3, Toon Van Gorp1,4, Ignace Vergote1,4, Dirk Timmerman5,6.
Abstract
Epithelial ovarian cancer (EOC) remains the most lethal gynecological cancer in developed countries, indicating the need for further research. Although current cancer models prove useful, they have major limitations. Organoids, a novel in vitro 3D cell culture technique, derived from stem cells, could provide a bridge between the current preclinical platforms. However, this technique is still in its early stages. After conducting a systematic literature search, only sixteen manuscripts concerning ovarian related organoids could be retrieved.In this review, we discuss current tumor models, including organoids and provide a comprehensive review about organoids of ovarian tissue. Potential future applications are addressed, proving organoids to be an interesting platform for modeling tumorigenesis, drug testing and screening and other applications. Recent advancements could usher in a new era of highly personalized medicine in EOC.Entities:
Keywords: Cell culture; Diagnostics; Drug screening; Genetics; Stem cells; Therapy
Mesh:
Year: 2019 PMID: 31703723 PMCID: PMC6839218 DOI: 10.1186/s13048-019-0577-2
Source DB: PubMed Journal: J Ovarian Res ISSN: 1757-2215 Impact factor: 4.234
Fig. 1Flowchart depicting the selection methods for relevant manuscripts about organoids
Fig. 2Flowchart depicting the search process for articles about organoids of ovarian or fallopian origin
Fig. 3Current techniques for generating a tumor model
Overview of cancer cell culture techniques, adapted from [11–13]
| Technique | Advantages | Disadvantages |
|---|---|---|
| Traditional cell culture (monolayer and spheroids) | - Easily maintained and expanded | - Cancer cells lose grow potential in vitro |
| - Genetic manipulation | - Often only one clone expands | |
| - High-throughput drug screening | - Lower biological stability | |
| - Most favorable cost-benefit | - Inability to represent the clinical cancer spectrum | |
| Xenografts | - In vivo culture | - Difficult genetic manipulation |
| - High heterogeneity possible | - Graft failure | |
| - Complete microenvironment | - Time and resource consuming | |
| - Lack of high-throughput drug screening | ||
| Organoids | - Long term expansion | - Unknown capability to capturing whole spectrum of in vivo heterogeneity |
| - Mimicking in vivo conditions | - Time consuming initiating a model | |
| - High-throughput drug screening | - No microenvironment | |
| - Tissue subtype modeling |
An overview of established organoids from various human tissues and organs, adapted from [15, 17, 20, 21]
| Tissue/Organ | Derived from adult stem cells | Derived from pluripotent stem cells |
|---|---|---|
| Adenohypophysis | + | |
| Bile duct | + | |
| Brain | + | |
| Colon | + | |
| Esophagus | + | |
| Fallopian tube | + | |
| Gallbladder | + | |
| Inner ear | + | |
| Kidney | + | |
| Liver | + | + |
| Lung | + | + |
| Mammary gland | + | + |
| Pancreas | + | + |
| Prostate | + | |
| Retina/Optic cup | + | |
| Salivary gland | + | |
| Small intestine | + | + |
| Stomach | + | + |
| Taste buds | + | |
| Thyroid | + | |
| Ovary | + | + |
Tumor-derived organoids and its applications, adapted from [12, 13, 26, 30]
| Cancer type | Aim of study |
|---|---|
| Breast | - Elucidate pathways of tumorigenesis and metastasis |
| - Detect drug response of organoids | |
| - Validation of disease-causing genomic variations | |
| - Organoid biobank | |
| Colorectal | - Genetic diversity of patient- derived tumor organoids and the original tumor biopsy |
| - Organoid biobank | |
| - Personalized medicine | |
| - Modeling specific subtype of colon cancer | |
| Endometrium | - Organoid biobank |
| - Precision medicine | |
| Glioblastoma | - Organoid model of non-epithelial tumor |
| Liver | - Organoid biobank |
| - Detection of driver mutations | |
| Pancreatic | - Pancreatic ductal adenocarcinoma modeling and drug screening |
| - Organoid model | |
| Prostate | - Tumor modeling |
| - Lineage and cell transition monitoring | |
| Renal | Method for renal carcinoma 3D culture |
| Stomach and esophageal | - Genomic-based classification of gastric cancer |
| - New driver mutation detection | |
| - Personalized medicine | |
| - Organoid biobank | |
| - Long-term 3D cultures of human gastric stem cells and bacterial infection study |
Fig. 4Overview of possible future clinical applications of organoids from epithelial ovarian cancer