Shinde, P;
Marrec, L;
Rai, A;
Yadav, A;
Kumar, R;
Ivanchenko, M;
Zaikin, A;
(2019)
Symmetry in cancer networks identified: Proposal for multicancer biomarkers.
Network Science
, 7
(4)
pp. 541-555.
10.1017/nws.2019.55.
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Abstract
One of the most challenging problems in biomedicine and genomics is the identification of disease biomarkers. In this study, proteomics data from seven major cancers were used to construct two weighted protein–protein interaction networks, i.e., one for the normal and another for the cancer conditions. We developed rigorous, yet mathematically simple, methodology based on the degeneracy at –1 eigenvalues to identify structural symmetry or motif structures in network. Utilizing eigenvectors corresponding to degenerate eigenvalues in the weighted adjacency matrix, we identified structural symmetry in underlying weighted protein–protein interaction networks constructed using seven cancer data. Functional assessment of proteins forming these structural symmetry exhibited the property of cancer hallmarks. Survival analysis refined further this protein list proposing BMI, MAPK11, DDIT4, CDKN2A, and FYN as putative multicancer biomarkers. The combined framework of networks and spectral graph theory developed here can be applied to identify symmetrical patterns in other disease networks to predict proteins as potential disease biomarkers.
| Type: | Article |
|---|---|
| Title: | Symmetry in cancer networks identified: Proposal for multicancer biomarkers |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1017/nws.2019.55 |
| Publisher version: | https://doi.org/10.1017/nws.2019.55 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL EGA Institute for Womens Health UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL EGA Institute for Womens Health > Womens Cancer |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10090411 |
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