Ovarian Grading
Ovarian Grading - Related Videos
06:51
Development of Mouse-Derived Organoid Lines from Fallopian Tube Epithelial Cells for High Grade Serous Ovarian Carcinoma Modeling
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2025
This protocol details the development of high-grade serous ovarian carcinoma (HGSOC) mouse models in vitro and in vivo. From the derivation of murine fallopian tube organoids, their genetic modification to recapitulate human HGSOC genetics, and their introduction in the ovarian bursa of syngeneic mice for in vivo development of tumors.
04:41
Dissection and Grading of Ovarian Development in Wild-Type Female Insects
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Cited by 2 •
2023
The protocol demonstrates a simple and easy dissection method, suitable for wild-type migratory female insects captured with searchlight traps. This technique can significantly clarify the same species by comparing both reproductive tissues, namely the mating sac and ovarian development of wild-type female insects.
07:19
Generation and Culturing of High-Grade Serous Ovarian Cancer Patient-Derived Organoids
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Cited by 13 •
2023
Patient-derived organoids (PDO) are a three-dimensional (3D) culture that can mimic the tumor environment in vitro. In high-grade serous ovarian cancer, PDOs represent a model to study novel biomarkers and therapeutics.
04:35
Obtaining Primary Ovarian Cancer Cells from Solid Specimens: A Method to Culture Epithelial Ovarian Cancer Cells from Ovarian Tumor Specimens
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2023
In this video, we describe a method for isolating and characterizing primary ovarian cancer cells from solid ovarian tumor tissue specimens. The epithelial cancer cells obtained using this protocol are suitable for understanding the processes that may lead to ovarian cancer initiation and development.
10:35
An Orthotopic Model of Serous Ovarian Cancer in Immunocompetent Mice for in vivo Tumor Imaging and Monitoring of Tumor Immune Responses
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Cited by 18 •
2010
To study in vivo tumor growth and tumor microenvironment, we used a syngeneic and orthotopic mouse model of ovarian cancer in immunocompetent animals. We transduced a mouse tumor cell line (MOV1) with Katushka fluorescent protein (MOV1KAT) and here we show its orthotopic implantation in ovary and in vivo imaging.
FAQs
These features provide complementary evidence about how abnormal an ovarian tumor is compared with normal ovarian structures. Differentiation reflects cellular resemblance, nuclear atypia captures abnormal nuclear appearance, mitotic activity indicates cell division, and architectural disruption shows altered tissue organization. Examining them together helps relate microscopic abnormalities to the tumor’s biological behavior and growth potential.
Cell-level findings and tissue-level structure can reveal different aspects of tumor abnormality. A specimen may show changes in nuclear appearance or cell division while also displaying disrupted organization. Considering both perspectives gives pathologists a broader basis for classification than relying on one microscopic feature, supporting more consistent interpretation of ovarian tumor behavior across specimens.
Ovarian grading and staging provide related but distinct information. Grading focuses on microscopic differentiation, atypia, mitotic activity, and architectural disruption, whereas the overview identifies staging as a complementary assessment rather than a replacement. Used together, they support estimates of biological behavior, prognosis, growth potential, and likely treatment response more effectively than either classification alone.
The process begins with tissue collection, followed by staining that makes cellular and structural features suitable for microscopic examination. A pathologist then evaluates differentiation, nuclear atypia, mitotic activity, and architectural disruption before assigning a grade. Standardized assessment of these findings allows results to be compared across ovarian tumor specimens and research studies.
The assigned grade can help estimate how a tumor may behave biologically, including its growth potential and overall aggressiveness. It also contributes to prognostic assessment and may inform expectations about likely response to treatment. These interpretations are strongest when grading is considered alongside staging, since the two approaches address complementary aspects of ovarian cancer.
Consistent grading creates a shared framework for classifying ovarian tissue and tumors across specimens. This improves comparisons between samples, supports disease classification, and helps researchers investigate how cellular abnormalities relate to tumor behavior. In clinical and research settings, reproducible grading also strengthens studies of prognosis, treatment response, and the biological factors associated with ovarian cancer progression.