BBGLab

Cancer Detective





A sample has arrived to the lab! Can you help the Cancer Detective?
You are about to start a simulation where you will analyze a tumour sample from an imaginary cancer patient.

Follow these steps:
1. Select relevant data from this patient and annotate it into the system
2. Sequence the tumour DNA to identify its somatic mutations
3. Launch our computational tools to identify driver mutations and targeted therapies
4. Analyze the results

Check the introduction and the resources to learn more about cancer genomics.

CancerDetective
Let's start

Sample selection

Select the type of sample you want to analyze:

Skin cancer

Skin cancer develops from the cells in the skin
Select

Lung cancer

Lung cancer develops from the cells in the lungs
Select

Patient characteristics: Age

Mutations accumulate with age. As a consequence,
elderly people tend to have more mutations than young people. [cite?]

Please, select the age of your patient:

Young

(1-20 years old)
Select

Middle age

(21-60 years old)
Select

Elderly

(61 years old or older)
Select

Young

(1-20 years old)
Select

Middle age

(21-60 years old)
Select

Elderly

(61 years old or older)
Select

Patient characteristics: Sun exposure

Ultraviolet (UV) radiation from the sun causes mutations.
The higher the solar exposure, the higher the chances to accumulate mutations. [cite?]

Please, select the level of sun exposure of the patient:

Low sun exposure

The patient exposure to UV radiation is below the average.
Select

Moderate sun exposure

The patient exposure to UV radiation is on the average.
Select

High sun exposure

The patient exposure to UV radiation is above the average.
Select

Patient characteristics: Smoking

Chemicals from tobacco cause mutations.
As a consequence, smokers tend to have more mutations than non-smokers. [cite?]

Please, select the smoking habits of your patient.

Non-smoker

You do not smoke
Select

Ocassional

Every now and then you smoke
Select

Regular

You smoke on a regular basis
Select

Patient's sun protection

The number of tumor mutations attributed to sun exposure is likely to
be lower those with high protection than those with a low or non-protection. [cite?]

Please, select the use of sun protection of your patient:

High protection

Use of high-grade factor sunscreen and sun protective clothes when exposed to UV radiation.
Select

Intermediate protection

Sporadically use of sun protection when exposed to UV radiation.
Select

Low protection

Not use sunscreen nor protective clothes when exposed to UV radiation.
Select

Patient characteristics: Secondhand smoking

Lung cells can also be damaged by breathing tobacco smoke from
someone else. People that are exposed to tobacco smoke tend to have
more mutations than those that are non-exposed. [cite?]

Please, select the level of secondhand smoking exposure of the patient:

Non-exposed

The patient is not exposed to secondhand smoking
Select

Occasionally exposed

The patient is exposed to secondhand smoking from time to time
Select

Regularly exposed

The patient is exposed to secondhand smoking every day
Select