 Secondary bone cancer (SBC) is a complex disease  characterized by intricate molecular mechanisms. Metastasis of primary breast cancer and prostate cancer cells is the main cause of SBC. Towards our goal of identifying SBC-specific targets , we use a strategy based on protein interactome analysis and gene ontologies. First, we compiled a well-curated dataset of 83 SBC genes(SBCGs). Further, we constructed protein interactome comprising of proteins known to be involved in generic cancer mechanisms and also for those implicated in SBC mechanisms. We hypothesize that these protein interaction networks embody mechanisms and processes that are relevant in generic cancers and those specific to SBC, respectively. We , then, identified targets specific to SBC by combining key cancer-related genes , SBCGs and ontologically significant genes. These targets, apart from being ontologically relevant to SBC , are critical in the topology and dynamics of generic cancer mechanisms. Further, we refined the targets for SBC-specificity by filtering out the genes involved in primary bone cancer , any other type of cancer or any other known disease. Our composite rational strategy involving literature-mined experimental data, graph theoretical analysis and gene ontological studies predicts targets that are more specific and relevant for SBC .
Metastasis is one of the most enigmatic aspects of cancer pathogenesis and is a major cause of cancer-associated mortality. Secondary bone cancer (SBC) is a complex disease caused by metastasis of tumor cells from their primary site and is characterized by intricate interplay of molecular interactions. Identification of targets for multifactorial diseases such as SBC, the most frequent complication of breast and prostate cancers, is a challenge. Towards achieving our aim of identification of targets specific to SBC, we constructed a 'Cancer Genes Network', a representative protein interactome of cancer genes. Using graph theoretical methods, we obtained a set of key genes that are relevant for generic mechanisms of cancers and have a role in biological essentiality. We also compiled a curated dataset of 391 SBC genes from published literature which serves as a basis of ontological correlates of secondary bone cancer. Building on these results, we implement a strategy based on generic cancer genes , SBC genes and gene ontology enrichment method, to obtain a set of targets that are specific to bone metastasis. Through this study, we present an approach for probing one of the major complications in cancers, namely, metastasis. The results on genes that play generic roles in cancer phenotype, obtained by network analysis of 'Cancer Genes Network', have broader implications in understanding the role of molecular regulators in mechanisms of cancers. Specifically, our study provides a set of potential targets that are of ontological and regulatory relevance to secondary bone cancer .
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Metastasis is one of the most enigmatic aspects of cancer pathogenesis and is a major cause of cancer-associated mortality.
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caused by metastasis of tumor cells from their primary site and is
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molecular mechanisms. Metastasis of primary breast cancer and prostate cancer cells is the main cause of SBC. Towards our goal of identifying SBC-specific targets , we use a strategy based on protein interactome analysis and gene ontologies. First, we compiled a well-curated dataset of 83 SBC genes(SBCGs). Further, we constructed protein interactome comprising of proteins known to be involved in generic cancer mechanisms and also for those implicated in SBC mechanisms. We hypothesize that these protein interaction networks embody mechanisms and processes that are relevant in generic cancers
interplay of molecular interactions. Identification of targets for multifactorial diseases such as SBC, the most frequent complication of breast
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those specific to SBC, respectively. We , then, identified targets specific to SBC by combining key cancer-related genes , SBCGs and ontologically significant genes. These targets, apart from being ontologically relevant to SBC , are critical in the topology and dynamics of generic cancer mechanisms. Further, we refined the targets for SBC-specificity by filtering out the
prostate cancers, is a challenge. Towards achieving our aim of identification of targets specific to SBC, we constructed a 'Cancer Genes Network', a representative protein interactome of cancer genes. Using graph theoretical methods, we obtained a set of key genes that are relevant for generic mechanisms of cancers and have a role in biological essentiality. We also compiled a curated dataset of 391 SBC
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involved in primary bone cancer
from published literature which serves as a basis of ontological correlates of secondary bone cancer. Building on these results, we implement a strategy based on generic cancer genes
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any other type of cancer or any other known disease. Our composite rational strategy involving literature-mined experimental data, graph theoretical analysis and gene ontological studies predicts
SBC genes and gene ontology enrichment method, to obtain a set of targets that are specific to bone metastasis. Through this study, we present an approach for probing one of the major complications in cancers, namely, metastasis. The results on genes that play generic roles in cancer phenotype, obtained by network analysis of 'Cancer Genes Network', have broader implications in understanding the role of molecular regulators in mechanisms of cancers. Specifically, our study provides a set of potential
R
more specific and relevant for SBC
of ontological and regulatory relevance to secondary bone cancer