Cancer patients can find out exactly how long they can expect to live for by using a new interactive tool.
Developed by scientists, the online calculator displays average life expectancy for six major forms of the disease.
Based on official data of more than 2.3 million people, it provides the most accurate probability of dying from cancer over 10 years, researchers said.
Users adjust their age and gender to see how long their battle with breast, lung, colon, prostate, rectum and melanoma will go on for, on average.
But the test doesn't take into account various factors that can accelerate tumour growth, such as smoking, alcohol intake and dietary habits.
Take the test below
It shows results on a scale of probability, with 1.0 showing a 100 per cent chance of survival and zero showing the opposite.
The results can be flipped the other way around to show the statistics, obtained by Public Health England, in terms of mortality.
Leicester University researchers designed the tool to give patients accurate rates for survival - with huge confusion around such statistics.
'To inform the public'
PhD student Sarwal Islam, who created the tool, told MailOnline that cancer survival statistics are often misreported.
He said: 'The tool aims to inform the public, and professors, so that we can try to minimise the misunderstanding.
'We want to make sure that patients understand that their survival depends on a number of different factors.'
What the tool shows
Three different coloured lines can be seen on the InterPreT Cancer Survival graph after a user has pressed enter.
Net survival, shown in orange, provides average chances of survival for those going through cancer.
But prognosis will differ in terms of other important disease characteristics, such as stage of cancer at diagnosis.
All cause survival, the pink line, displays the chance of dying from any cause - including being run over by a bus.
The third, a blue line, depicts expected survival - the chance of being alive if they were never diagnosed with cancer.
An updated tool in the pipeline
Professor Paul Lambert, who was involved in creating the tool, said they are working on creating one that includes more risk factors.
He said: 'The interactive tool offers a great resource for other researchers to fully understand measures of cancer patient survival, and how these vary by age.
'We aim to extend the tool to include more detailed patient characteristics and to a wider range of cancer sites to improve its usefulness even further.'