13
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Beyond cancer genes: colorectal cancer as robust intrinsic states formed by molecular interactions

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Colorectal cancer (CRC) has complex pathological features that defy the linear-additive reasoning prevailing in current biomedicine studies. In pursuing a mechanistic understanding behind such complexity, we constructed a core molecular–cellular interaction network underlying CRC and investigated its nonlinear dynamical properties. The hypothesis and modelling method has been developed previously and tested in various cancer studies. The network dynamics reveal a landscape of several attractive basins corresponding to both normal intestinal phenotype and robust tumour subtypes, identified by their different molecular signatures. Comparison between the modelling results and gene expression profiles from patients collected at the second affiliated hospital of Zhejiang University is presented as validation. The numerical ‘driving’ experiment suggests that CRC pathogenesis may depend on pathways involved in gastrointestinal track development and molecules associated with mesenchymal lineage differentiation, such as Stat5, BMP, retinoic acid signalling pathways, Runx and Hox transcription families. We show that the multi-faceted response to immune stimulation and therapies, as well as different carcinogenesis and metastasis routes, can be straightforwardly understood and analysed under such a framework.

          Related collections

          Most cited references91

          • Record: found
          • Abstract: found
          • Article: not found

          Cancer genes and the pathways they control.

          The revolution in cancer research can be summed up in a single sentence: cancer is, in essence, a genetic disease. In the last decade, many important genes responsible for the genesis of various cancers have been discovered, their mutations precisely identified, and the pathways through which they act characterized. The purposes of this review are to highlight examples of progress in these areas, indicate where knowledge is scarce and point out fertile grounds for future investigation.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            The genomic landscapes of human breast and colorectal cancers.

            Human cancer is caused by the accumulation of mutations in oncogenes and tumor suppressor genes. To catalog the genetic changes that occur during tumorigenesis, we isolated DNA from 11 breast and 11 colorectal tumors and determined the sequences of the genes in the Reference Sequence database in these samples. Based on analysis of exons representing 20,857 transcripts from 18,191 genes, we conclude that the genomic landscapes of breast and colorectal cancers are composed of a handful of commonly mutated gene "mountains" and a much larger number of gene "hills" that are mutated at low frequency. We describe statistical and bioinformatic tools that may help identify mutations with a role in tumorigenesis. These results have implications for understanding the nature and heterogeneity of human cancers and for using personal genomics for tumor diagnosis and therapy.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Transcriptome-wide noise controls lineage choice in mammalian progenitor cells.

              Phenotypic cell-to-cell variability within clonal populations may be a manifestation of 'gene expression noise', or it may reflect stable phenotypic variants. Such 'non-genetic cell individuality' can arise from the slow fluctuations of protein levels in mammalian cells. These fluctuations produce persistent cell individuality, thereby rendering a clonal population heterogeneous. However, it remains unknown whether this heterogeneity may account for the stochasticity of cell fate decisions in stem cells. Here we show that in clonal populations of mouse haematopoietic progenitor cells, spontaneous 'outlier' cells with either extremely high or low expression levels of the stem cell marker Sca-1 (also known as Ly6a; ref. 9) reconstitute the parental distribution of Sca-1 but do so only after more than one week. This slow relaxation is described by a gaussian mixture model that incorporates noise-driven transitions between discrete subpopulations, suggesting hidden multi-stability within one cell type. Despite clonality, the Sca-1 outliers had distinct transcriptomes. Although their unique gene expression profiles eventually reverted to that of the median cells, revealing an attractor state, they lasted long enough to confer a greatly different proclivity for choosing either the erythroid or the myeloid lineage. Preference in lineage choice was associated with increased expression of lineage-specific transcription factors, such as a >200-fold increase in Gata1 (ref. 10) among the erythroid-prone cells, or a >15-fold increased PU.1 (Sfpi1) (ref. 11) expression among myeloid-prone cells. Thus, clonal heterogeneity of gene expression level is not due to independent noise in the expression of individual genes, but reflects metastable states of a slowly fluctuating transcriptome that is distinct in individual cells and may govern the reversible, stochastic priming of multipotent progenitor cells in cell fate decision.
                Bookmark

                Author and article information

                Journal
                Open Biol
                Open Biol
                RSOB
                royopenbio
                Open Biology
                The Royal Society
                2046-2441
                November 2017
                8 November 2017
                8 November 2017
                : 7
                : 11
                : 170169
                Affiliations
                [1 ]Key Laboratory of Systems Biomedicine, Ministry of Education, Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University , Shanghai 200240, People's Republic of China
                [2 ]Key Laboratory of Cancer Prevention and Intervention, Chinese Ministry of Education, Key Laboratory of Molecular Biology in Medical Sciences , Hangzhou, Zhejiang Province 310009, People's Republic of China
                [3 ]Second Affiliated Hospital, School of Medicine, Zhejiang University , Hangzhou 310009, People's Republic of China
                [4 ]Institute for Systems Biology , 401 Terry Ave. N., Seattle, WA 98109-5234, USA
                [5 ]Shanghai Center of Quantitative Life Sciences, Shanghai University , Shanghai 200444, People's Republic of China
                Author notes
                [†]

                Present address: Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA.

                Electronic supplementary material is available online at http://dx.doi.org/10.6084/m9.figshare.c.3911893.

                Author information
                http://orcid.org/0000-0002-9508-7326
                http://orcid.org/0000-0001-7109-628X
                http://orcid.org/0000-0002-3674-3565
                Article
                rsob170169
                10.1098/rsob.170169
                5717345
                29118272
                1e73d6f9-5e0e-45cb-b51d-798faf448124
                © 2017 The Authors.

                Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.

                History
                : 10 July 2017
                : 6 October 2017
                Funding
                Funded by: State Key Laboratory of Oncogenes and Related Genes;
                Award ID: No. 90-10-11
                Funded by: National Natural Science Foundation of China, http://dx.doi.org/10.13039/501100001809;
                Award ID: NSFC91329301
                Award ID: NSFC9152930016
                Categories
                181
                Research
                Research Article
                Custom metadata
                November 2017

                Life sciences
                colorectal cancer,systems biology,robust dynamical states,endogenous molecular–cellular network,stochastic nonlinear dynamics

                Comments

                Comment on this article