OBJECTIVE: Genomic studies of ovarian cancer (OC) cell lines frequently used in research revealed that these cells do not fully represent high-grade serous ovarian cancer (HGSOC), the most common OC histologic type. However, OC lines that appear to genomically resemble HGSOC have not been extensively used and their growth characteristics in murine xenografts are essentially unknown. METHODS: To better understand growth patterns and characteristics of HGSOC cell lines in vivo, CAOV3, COV362, KURAMOCHI, NIH-OVCAR3, OVCAR4, OVCAR5, OVCAR8, OVSAHO, OVKATE, SNU119 and UWB1.289 cells were assessed for tumor formation in nude mice. Cells were injected intraperitoneally (i.p.) or subcutaneously (s.c.) in female athymic nude mice and allowed ...
A cell line representative of human high-grade serous ovarian cancer (HGSOC) should not only resembl...
We first established a human ovarian sarcomatoid carcinoma cell line designated BUPH:OVSC from prima...
Funding Information: We acknowledge to Unidade Investigação Patobiologia Molecular (UIPM) facilities...
Genomic analysis of ovarian cancer cell lines has revealed a panel that best represents the most com...
High-grade serous ovarian carcinoma (HGSOC) is the most frequent histological type of ovarian cancer...
Objective Comparisons of The Cancer Genome Atlas (TCGA) with high grade serous ovarian cancer (HGSOC...
ObjectiveComparisons of The Cancer Genome Atlas (TCGA) with high grade serous ovarian cancer (HGSOC)...
Cancer cell lines are good in vitro models to study molecular mechanisms underlying chemoresistance ...
AbstractCancer cell lines are good in vitro models to study molecular mechanisms underlying chemores...
Ovarian cancer is the most deadly gynecological malignancy in the US. Once thought to be a single di...
Currently available human tumour cell line panels consist of a small number of lines in each lineage...
Ovarian cancer is the most lethal of all of the gynecological cancers and can arise from any cell ty...
In order to develop models of human ovarian cancer, attempts were made to establish a variety of neo...
Ovarian cancer (OC) is the leading cause of death from a gynecological malignancy in the United Stat...
Metastasis is responsible for 90% of human cancer mortality, yet it remains a challenge to model hum...
A cell line representative of human high-grade serous ovarian cancer (HGSOC) should not only resembl...
We first established a human ovarian sarcomatoid carcinoma cell line designated BUPH:OVSC from prima...
Funding Information: We acknowledge to Unidade Investigação Patobiologia Molecular (UIPM) facilities...
Genomic analysis of ovarian cancer cell lines has revealed a panel that best represents the most com...
High-grade serous ovarian carcinoma (HGSOC) is the most frequent histological type of ovarian cancer...
Objective Comparisons of The Cancer Genome Atlas (TCGA) with high grade serous ovarian cancer (HGSOC...
ObjectiveComparisons of The Cancer Genome Atlas (TCGA) with high grade serous ovarian cancer (HGSOC)...
Cancer cell lines are good in vitro models to study molecular mechanisms underlying chemoresistance ...
AbstractCancer cell lines are good in vitro models to study molecular mechanisms underlying chemores...
Ovarian cancer is the most deadly gynecological malignancy in the US. Once thought to be a single di...
Currently available human tumour cell line panels consist of a small number of lines in each lineage...
Ovarian cancer is the most lethal of all of the gynecological cancers and can arise from any cell ty...
In order to develop models of human ovarian cancer, attempts were made to establish a variety of neo...
Ovarian cancer (OC) is the leading cause of death from a gynecological malignancy in the United Stat...
Metastasis is responsible for 90% of human cancer mortality, yet it remains a challenge to model hum...
A cell line representative of human high-grade serous ovarian cancer (HGSOC) should not only resembl...
We first established a human ovarian sarcomatoid carcinoma cell line designated BUPH:OVSC from prima...
Funding Information: We acknowledge to Unidade Investigação Patobiologia Molecular (UIPM) facilities...