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Discovering the common modules that are co-expressed across various stages can lead to an improved understanding of the underlying molecular mechanisms of cancers. There is a shortage of efficient tools for integrative analysis of gene expression and protein interaction networks for discovering common modules associated with cancer progression. To address this issue, we propose a novel regularized multi-view subspace clustering (rMV-spc) algorithm to obtain a representation matrix for each stage and a joint representation matrix that balances the agreement across various stages. To avoid the heterogeneity of data, the protein interaction network is incorporated into the objective of rMV-spc via regularization. Based on the interior point algorithm, we solve the optimization problem to obtain the common modules. By using artificial networks, we demonstrate that the proposed algorithm outperforms state-of-the-art methods in terms of accuracy. Furthermore, the rMV-spc discovers common modules in breast cancer networks based on the breast data, and these modules serve as biomarkers to predict stages of breast cancer. The proposed model and algorithm effectively integrate heterogeneous data for dynamic modules. [ABSTRACT FROM AUTHOR]

Background: CD8Foxp3 T lymphocytes have been detected in tumors. However, the distribution, phenotypic features, and regulation of these cells in gastric cancer remain unknown. Methods: The levels of CD8Foxp3 T lymphocytes in the peripheral blood, tumor-draining lymph nodes, non-tumor tissues, and tumor tissues of patients with gastric cancer were detected by flow cytometry. Foxp3 induction in CD8Foxp3 T cells was investigated in vitro. The suppressive function of CD8Foxp3 T lymphocytes was analyzed by their effect on CD4 T-cell proliferation and IFN-γ production. The percentages of CD8Foxp3 T lymphocytes were evaluated for the association with tumor stage. Results: The frequency of CD8Foxp3 T lymphocytes in tumor tissues was significantly higher than that in non-tumor tissues, and similar results were also observed in tumor-draining lymph nodes compared with peripheral blood. Most intratumoral CD8Foxp3 T lymphocytes were activated effector cells (CD45RACD27). TGF-β1 levels were positively correlated with the frequency of CD8Foxp3 T lymphocytes in tumor tissues, and in vitro TGF-β1 could induce the generation of CD8Foxp3 T lymphocytes in a dose-dependent manner. Furthermore, intratumoral CD8Foxp3 T lymphocytes suppressed the proliferation and IFN-γ production of CD4 T cells. Finally, intratumoral CD8Foxp3 T lymphocytes were significantly increased with tumor progression in terms of tumor-node-metastasis (TNM) stage. Conclusions: Our data have shown that increased intratumoral CD8Foxp3 T lymphocytes are associated with tumor stage and potentially influence CD4 T-cell functions, which may provide insights for developing novel immunotherapy protocols against gastric cancer. [ABSTRACT FROM AUTHOR]

Cancer was initially considered a genetic disease. However, recent studies have revealed the connection between bacterial infections and growth of different types of cancer. The enteroinvasive strain of Mycoplasma hominis alters the normal behavior of host cells that may result in the growth of prostate cancer. The role of M. hominis in the growth and development of prostate cancer still remains unclear. The infection may regulate several factors that influence prostate cancer growth in susceptible individuals. The aim of this study was to predict M. hominis proteins targeted into the endoplasmic reticulum (ER) of the host cell, and their potential role in the induction of prostate cancer. From the whole proteome of M. hominis, 19 proteins were predicted to be targeted into the ER of host cells. The results of our study predict that several proteins of M. hominis may be targeted to the host cell ER, and possibly alter the normal pattern of protein folding. These predicted proteins can modify the normal function of the host cell. Thus, the intercellular infection of M. hominis in host cells may serve as a potential factor in prostate cancer etiology. [ABSTRACT FROM AUTHOR]