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ScanCer

An ATP-FRET probe for high-throughput screening of breast cancer medicines

Prevalence

Breast cancer accounts for about 30% of all new female cancers each year.

Breast cancer is the most invasive cancer in women worldwide. In the US, about 13% of women, or 1 in 8, will develop breast cancer in their lifetime.

Treatment

Personalized medicine as a treatment method is increasingly adopted.

There are many ways to treat breast cancer. Nowadays, advances in genomic sequencing, bioinformatics, and data analysis have made the use of personalized medicine increasingly popular.

Personalized Medicines

The treatment of cancer by killing cells with powerful chemicals. Increasingly adopted with advances in genomic sequencing.

Sounds good! The problem?

Appropriate personalized medicines are hard to identify,
and by hard, we mean really hard.

Heterogeneity of Tumors

Many Genetic Mutations

Dynamic Evolution of Tumors

High-Throughput Data Processing

Finding Reliable Biomarkers

Extensive Target Validation Required

Limited Therapeutic Window

Tumors Developing Resistance Mechanisms

Patient Stratification Needed

Regulatory Challenges

High Costs of Treatment

Advanced Infrastructure Requirements

Heterogeneity of Tumors

Many Genetic Mutations

Dynamic Evolution of Tumors

High-Throughput Data Processing

Finding Reliable Biomarkers

Extensive Target Validation Required

Limited Therapeutic Window

Tumors Developing Resistance Mechanisms

Patient Stratification Needed

Regulatory Challenges

High Costs of Treatment

Advanced Infrastructure Requirements

That is where ScanCer comes in!

ScanCer is an ATP-FRET probe for high-throughput screening of breast cancer medicines.

Here's how it works.

With how it works in mind, we can now move on to the specifics of ScanCer.

Overview

Go into the technical details of ScanCer.

Visit Our Overview Page
ScanCer Logo

An ATP-FRET probe for high-throughput screening of breast cancer medicines.


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This wiki is created by Lin Donglai with input from the BAID-China iGEM team. Contents are provided by members of our team. Thank you to all contributors.

The repository used to create this website is available at gitlab.igem.org/2024/baid-china.

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