Take the 2-minute tour ×
MathOverflow is a question and answer site for professional mathematicians. It's 100% free, no registration required.

What are applications of mathematics in cancer research ?

My answer.

Unfortunately I heard quite small about math, but I heard something about applications of physics. And let me put this story here, it might be useful to be aware. There is well-known radiation therapy. But less well-known is proton therapy http://en.wikipedia.org/wiki/Proton_therapy It is much more rare and based on protons accelerators used in particle physics. "The chief advantage of proton therapy is the ability to more precisely localize the radiation dosage when compared with other types of external beam radiotherapy." As far as I know it is only practiced in physics research centers which have proton accelarators. It is highly useful for cancer of sensitive tissues when it is dangerous to use other radiation therapy cause it will destroy everything surrounding.

A colleague of mine told me this really helped his father with the eye cancer. Moreover this method is so rare, that the leading experts in cancer were NOT aware of it and he become known of it only through friends.


The research institute where it happend is leading Russian research center ITEP (Institute for Theoretical and Experimental Physics). Note this: http://saveitep.org/


If one is aware of new (may be on trial) methods for pancreatic cancer, please let me know: al dot chervov dog gmail dot com

share|improve this question
Fractal theory is a branch of mathematics that is very helpful in cancers detection. It is possible that, we model the cancer growth by some fractal structure. –  Shahrooz Feb 5 '12 at 18:49

8 Answers 8

My colleague Emmanuel Grenier (École Normale Supérieure de Lyon) leads a research group on mathematics in medical sciences, in collaboration with surgeons and pharmacologists. One of their tasks concerns the control of angiogenesis, which is the way a cancer gets food and blood supply.

share|improve this answer

The Centre for Mathematical Biology in Oxford does a great deal of work on cancer modelling. To quote their webpage "We are interested in modelling the dynamics of cancer progression and treatment from a number of different view points and on various spatial and temporal scales."

share|improve this answer

A lot of maths (and related stats) goes into the development of techniques for screening in the detection of breast cancer using mamography. (I know of this from work by Reyer Zwiggelaar in Aberystwyth. He is in a computer science department but uses a lot of deep maths.)

share|improve this answer

A variety of medical image reconstruction methods are very relevant to cancer research and diagnosis.

Prime examples are: Positron Emission Tomography (PET), CT, MRI, etc.; In particular, all of these famous and successful technologies depend on solutions to inverse problems where one must reconstruct an image from a set of noisy measurements.

share|improve this answer

You can find some information here: Mathematical Biosciences Institute

For example these... 1 2

share|improve this answer

There's a lot of work in statistical methods for designing clinical trials and analyzing molecular data. You might not consider statistics to be mathematics, but there are a lot of more core mathematical problems that come up in the execution of the statistics. For example, in the process of implementing Bayesian clinical trial methods, I've had to solve problems in special functions, numerical analysis, probability, optimization, etc.

Another area that comes to mind is optimization problems to determine how to maximize the radiation delivered to a tumor while minimizing the radiation delivered to healthy tissue.

share|improve this answer

One can find some lecture on modern development of pharma-drugs (lecture was at public lectorium so it is quite understandable and interesting (imho)):


Let me try to sketch a part and mention what is math-related. (Sorry, lecture is in Russian (try google.translate), but there are some slides inside in English, see also link to "Novartis" below).

Drug development process

Math can be used at step 3 (as far as I understood). Let me first give all steps.

1) Target discovery (find a protein or cascade or smth which are critical for cancer development)

2) Hit discovery (by brute force test 50.000-1.000.000 molecules whether they can kill target or not)

3) Lead-optimization - (assume on previous step you find "something" which can hit cancer, but you must care about that this "something" will not kill person also or it is stable enough to work in real life. At this stage one looks for certain modifications which can preserve the positive features and dismiss negative).

4) Trials on animals

5) Phase 1 trials (10-50 people just to test that they will not be killed by side effects)

6) Phase 2 trials (100-300 people determine dosation, effectiveness, safety)

7) Phase 3 trial (1000-3000 people determine: side effects, interaction and comparing with other drugs,

8) Registration

9) Post launch studies

This is based on presentation from "Novartis", part can be found at:


"Novartis" is in particular famous for recent innovation of "Gleevec"(=Imatinib)


which is one of rare successes in the field of cancer drugs.)

So, (as far as I understood) at step 3 - "lead optimization" certain mathemaical modelling is sometimes possible. There is certain mathematical-based software which can try to predict some properties of moleculas based on their structure - so when people try to modify hiting molecula they sometimes use it.

share|improve this answer

I attended a talk by Heiko Enderling on modeling cancer growth as a spatial process.

share|improve this answer

Your Answer


By posting your answer, you agree to the privacy policy and terms of service.

Not the answer you're looking for? Browse other questions tagged or ask your own question.