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      A machine learning-driven approach for prioritizing food contact chemicals of carcinogenic concern based on complementary in silico methods

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      Food and Chemical Toxicology
      Elsevier BV

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          Hallmarks of Cancer: The Next Generation

          The hallmarks of cancer comprise six biological capabilities acquired during the multistep development of human tumors. The hallmarks constitute an organizing principle for rationalizing the complexities of neoplastic disease. They include sustaining proliferative signaling, evading growth suppressors, resisting cell death, enabling replicative immortality, inducing angiogenesis, and activating invasion and metastasis. Underlying these hallmarks are genome instability, which generates the genetic diversity that expedites their acquisition, and inflammation, which fosters multiple hallmark functions. Conceptual progress in the last decade has added two emerging hallmarks of potential generality to this list-reprogramming of energy metabolism and evading immune destruction. In addition to cancer cells, tumors exhibit another dimension of complexity: they contain a repertoire of recruited, ostensibly normal cells that contribute to the acquisition of hallmark traits by creating the "tumor microenvironment." Recognition of the widespread applicability of these concepts will increasingly affect the development of new means to treat human cancer. Copyright © 2011 Elsevier Inc. All rights reserved.
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            Random Forests

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              The Hallmarks of Cancer

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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                Food and Chemical Toxicology
                Food and Chemical Toxicology
                Elsevier BV
                02786915
                February 2022
                February 2022
                : 160
                : 112802
                Article
                10.1016/j.fct.2021.112802
                14e901ba-f6a6-4ad4-a1a5-b9c5c5cec33f
                © 2022

                https://www.elsevier.com/tdm/userlicense/1.0/

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