Diagnosis of Lung Cancer by Fractal Analysis of Damaged DNA

Cancer starts when cells in a part of the body start to grow out of control. In fact cells become cancer cells because of DNA damage. A DNA walk of a genome represents how the frequency of each nucleotide of a pairing nucleotide couple changes locally. In this research in order to study the cancer g...

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Veröffentlicht in:Computational and mathematical methods in medicine 2015-01, Vol.2015 (2015), p.1-11
Hauptverfasser: Namazi, Hamidreza, Kiminezhadmalaie, Mona
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description Cancer starts when cells in a part of the body start to grow out of control. In fact cells become cancer cells because of DNA damage. A DNA walk of a genome represents how the frequency of each nucleotide of a pairing nucleotide couple changes locally. In this research in order to study the cancer genes, DNA walk plots of genomes of patients with lung cancer were generated using a program written in MATLAB language. The data so obtained was checked for fractal property by computing the fractal dimension using a program written in MATLAB. Also, the correlation of damaged DNA was studied using the Hurst exponent measure. We have found that the damaged DNA sequences are exhibiting higher degree of fractality and less correlation compared with normal DNA sequences. So we confirmed this method can be used for early detection of lung cancer. The method introduced in this research not only is useful for diagnosis of lung cancer but also can be applied for detection and growth analysis of different types of cancers.
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subjects Algorithms
Computational Biology
Diagnosis, Computer-Assisted
DNA Damage
DNA, Neoplasm - blood
DNA, Neoplasm - genetics
Early Detection of Cancer
Fractals
Humans
Lung Neoplasms - diagnosis
Lung Neoplasms - genetics
Sequence Analysis, DNA - statistics & numerical data
Software
title Diagnosis of Lung Cancer by Fractal Analysis of Damaged DNA
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