Modeling Acquired Olaparib Resistance

Ovarian cancer cell lines were subjected to a gradual increase in the concentration of Olaparib (from 0.5 to 20 µM) to allow for the development of acquired resistance. Cells with acquired resistance to Olaparib (designated as OlaR) were developed after 3–4 months in drug media. The established Olaparib resistance models were maintained in culture medium with low-concentration Olaparib, and dosing was temporarily ceased prior to conducting experiments.

Free full text: Click here

Liu C., Li J., Xu F., Chen L., Ni M., Wu J., Zhao H., Wu Y., Li J., Wu X, & Chen X. (2024). PARP1-DOT1L transcription axis drives acquired resistance to PARP inhibitor in ovarian cancer. Molecular Cancer, 23, 111.

Publication 2024

Corresponding Organization :

Other organizations : Fudan University Shanghai Cancer Center, Shanghai Medical College of Fudan University

Top 5 similar protocols

Variable analysis

independent variables

Concentration of Olaparib (from 0.5 to 20 µM)

dependent variables

Development of acquired resistance to Olaparib

control variables

Cells were maintained in culture medium with low-concentration Olaparib prior to experiments
Dosing of Olaparib was temporarily ceased prior to conducting experiments

controls

Positive control: Parental (non-resistant) ovarian cancer cell lines
Negative control: Not specified

Annotations

Based on most similar protocols

Etiam vel ipsum. Morbi facilisis vestibulum nisl. Praesent cursus laoreet felis. Integer adipiscing pretium orci. Nulla facilisi. Quisque posuere bibendum purus. Nulla quam mauris, cursus eget, convallis ac, molestie non, enim. Aliquam congue. Quisque sagittis nonummy sapien. Proin molestie sem vitae urna. Maecenas lorem.

As authors may omit details in methods from publication, our AI will look for missing critical information across the 5 most similar protocols.

About PubCompare

Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.

We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.

However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.

Ready to get started?

Revolutionizing how scientists
search and build protocols!