Spreaders and sponges define metastasis in lung cancer: a Markov chain Monte Carlo mathematical model PK Newton, J Mason, K Bethel, L Bazhenova, J Nieva, L Norton, P Kuhn Cancer research 73 (9), 2760-2769, 2013 | 72 | 2013 |

A stochastic Markov chain model to describe lung cancer growth and metastasis PK Newton, J Mason, K Bethel, LA Bazhenova, J Nieva, P Kuhn PloS one 7 (4), e34637, 2012 | 68 | 2012 |

Spatiotemporal progression of metastatic breast cancer: a Markov chain model highlighting the role of early metastatic sites PK Newton, J Mason, N Venkatappa, MS Jochelson, B Hurt, J Nieva, ... NPJ breast cancer 1 (1), 1-9, 2015 | 28 | 2015 |

The prisoner’s dilemma as a cancer model J West, Z Hasnain, J Mason, PK Newton Convergent science physical oncology 2 (3), 035002, 2016 | 24 | 2016 |

The prisoner’s dilemma as a cancer model J West, Z Hasnain, J Mason, PK Newton Convergent science physical oncology 2 (3), 035002, 2016 | 24 | 2016 |

Entropy, complexity and Markov diagrams for random walk cancer models PK Newton, J Mason, B Hurt, K Bethel, L Bazhenova, J Nieva, P Kuhn Scientific reports 4 (1), 1-11, 2014 | 21 | 2014 |

Adrenal metastases in lung cancer: clinical implications of a mathematical model L Bazhenova, P Newton, J Mason, K Bethel, J Nieva, P Kuhn Journal of Thoracic Oncology 9 (4), 442-446, 2014 | 17 | 2014 |

Machine learning models for predicting post-cystectomy recurrence and survival in bladder cancer patients Z Hasnain, J Mason, K Gill, G Miranda, IS Gill, P Kuhn, PK Newton PloS one 14 (2), e0210976, 2019 | 12 | 2019 |

Liquid biopsy in colorectal carcinoma: clinical applications and challenges D Kolenčík, SN Shishido, P Pitule, J Mason, J Hicks, P Kuhn Cancers 12 (6), 1376, 2020 | 4 | 2020 |

Development of metastatic brain disease involves progression through lung metastases in EGFR mutated non-small cell lung cancer GK In, J Mason, S Lin, PK Newton, P Kuhn, J Nieva Convergent science physical oncology 3 (3), 035002, 2017 | 2 | 2017 |

Abstract PD2-07: Prediction of CDK inhibitor efficacy in ER+/HER2-breast cancer using machine learning algorithms J Mason, Y Gong, L Amiri-Kordestani, S Wedam, JJ Gao, H Singh, ... Cancer Research 80 (4 Supplement), PD2-07-PD2-07, 2020 | 1 | 2020 |

A Markov chain model of a longitudinal breast cancer data set. PK Newton, JJ Nieva, P Kuhn, L Norton, EA Comen, J Mason, ... Journal of Clinical Oncology 32 (15_suppl), 11040-11040, 2014 | 1 | 2014 |

A stochastic Markov chain model to describe cancer metastasis J Mason University of Southern California, 2013 | 1 | 2013 |

An FDA analysis of the association of tumor growth rate and overall and progression-free survival in metastatic non-small cell lung cancer (NSCLC) patients. Y Gong, J Mason, YL Shen, E Chang, D Kazandjian, GM Blumenthal, ... Journal of Clinical Oncology 38 (15_suppl), 9541-9541, 2020 | | 2020 |

Prediction of Bone Metastasis in Inflammatory Breast Cancer Using a Markov Chain Model T Fujii, J Mason, A Chen, P Kuhn, WA Woodward, D Tripathy, PK Newton, ... The oncologist 24 (10), 1322-1330, 2019 | | 2019 |

Pathways of metastatic bladder cancer from a longitudinal patient data set JM Mason, Z Hasnain, G Miranda, K Gill, PK Newton, IS Gill, P Kuhn Cancer Research 78 (13 Supplement), 4261-4261, 2018 | | 2018 |

Markov chain models of cancer metastasis J Mason, PK Newton bioRxiv, 263350, 2018 | | 2018 |

Adrenal metastases in lung cancer: Clinical implications of a mathematical model JM Mason, AM Ciccarella, L Marx-Rubiner, L Bazhenova, PK Newton, ... Cancer Research 77 (13 Supplement), 4532-4532, 2017 | | 2017 |

Predicting Hepatocellular Carcinoma in Hepatitis C Patients by Analysis of APRI Score Progression Pattern JM Mason, P Richardson, F Kanwal, PK Newton, P Kuhn, JR Kramer HEPATOLOGY 63 (1 SUPP), 399A-400A, 2016 | | 2016 |

Spatiotemporal progression patterns in metastatic lung cancer treated with bevacizumab JM Mason, PK Newton, GK In, S Lin, P Kuhn, JJ Nieva Cancer Research 76 (14 Supplement), 2711-2711, 2016 | | 2016 |