The establishing of the first cancer models created a new perspective on the identification
and evaluation of new anti-cancer therapies in preclinical studies. Patient-derived xenograft …

Ovarian cancer encompasses a heterogeneous group of malignancies that involve the
ovaries, fallopian tubes and the peritoneal cavity. Despite major advances made within the …

Ovarian cancer (OC) represents the most dismal gynecological cancer. Pathobiology is
poorly understood, mainly due to lack of appropriate study models. Organoids, defined as …

Simple Summary Organoids, also known as self-organized 3D organ-like clusters, represent
almost a physiological system for studying cells, stem cells, tissues, and diseases, especially …

Designer self‐assembling peptides form the entangled nanofiber networks in hydrogels by
ionic‐complementary self‐assembly. This type of hydrogel has realistic biological and …

Establishing a valid in vitro model to represent tumor heterogeneity and biology is critical but
challenging. Tumor organoids are self‐assembled three‐dimensional cell clusters which are …

Despite many improvements in ovarian cancer diagnosis and treatment, until now,
conventional chemotherapy and new biological drugs have not been shown to cure the …

Cisplatin has been used for decades for the treatment of ovarian cancer. However, despite
its potent anticancer effect, cisplatin's efficacy as a single agent was inadequate in patients …

High-grade serous ovarian cancer (HGSOC) is the most frequent and aggressive type of
epithelial ovarian cancer, with high recurrence rate and chemoresistance being the main …

Although Cisplatin (DDP) is a widely used first-line chemotherapy medication, DDP
resistance is one of the main causes of treatment failure in advanced lung cancer. Therefore …