Literature DB >> 31527151

Treating Cancer as an Invasive Species.

Javad Noorbakhsh1, Zi-Ming Zhao1, James C Russell2, Jeffrey H Chuang3.   

Abstract

To cure a patient's cancer is to eradicate invasive cells from the ecosystem of the body. However, the ecologic complexity of this challenge is not well understood. Here we show how results from eradications of invasive mammalian species from islands-one of the few contexts in which invasive species have been regularly cleared-inform new research directions for treating cancer. We first summarize the epidemiologic characteristics of island invader eradications and cancer treatments by analyzing recent datasets from the Database of Invasive Island Species Eradications and The Cancer Genome Atlas, detailing the superior successes of island eradication projects. Next, we compare how genetic and environmental factors impact success in each system. These comparisons illuminate a number of promising cancer research and treatment directions, such as heterogeneity engineering as motivated by gene drives and adaptive therapy; multiscale analyses of how population heterogeneity potentiates treatment resistance; and application of ecological data mining techniques to high-throughput cancer data. We anticipate that interdisciplinary comparisons between tumor progression and invasive species would inspire development of novel paradigms to cure cancer. ©2019 American Association for Cancer Research.

Entities:  

Year:  2019        PMID: 31527151      PMCID: PMC6942216          DOI: 10.1158/1541-7786.MCR-19-0262

Source DB:  PubMed          Journal:  Mol Cancer Res        ISSN: 1541-7786            Impact factor:   5.852


  38 in total

1.  Spectrum of somatic mutation dynamics in chronic myeloid leukemia following tyrosine kinase inhibitor therapy.

Authors:  TaeHyung Kim; Marc S Tyndel; Hyeoung Joon Kim; Jae-Sook Ahn; Seung Hyun Choi; Hee Jeong Park; Yeo-Kyeoung Kim; Soo Young Kim; Jeffrey H Lipton; Zhaolei Zhang; Dennis Dong Hwan Kim
Journal:  Blood       Date:  2016-10-12       Impact factor: 22.113

2.  Pointwise confidence intervals for a survival distribution with small samples or heavy censoring.

Authors:  Michael P Fay; Erica H Brittain; Michael A Proschan
Journal:  Biostatistics       Date:  2013-04-30       Impact factor: 5.899

Review 3.  Cancer immunoediting from immune surveillance to immune escape.

Authors:  Ryungsa Kim; Manabu Emi; Kazuaki Tanabe
Journal:  Immunology       Date:  2007-03-26       Impact factor: 7.397

Review 4.  Biodiversity monitoring, earth observations and the ecology of scale.

Authors:  Christopher B Anderson
Journal:  Ecol Lett       Date:  2018-07-13       Impact factor: 9.492

Review 5.  Hallmarks of cancer: the next generation.

Authors:  Douglas Hanahan; Robert A Weinberg
Journal:  Cell       Date:  2011-03-04       Impact factor: 41.582

Review 6.  Ecology meets cancer biology: the cancer swamp promotes the lethal cancer phenotype.

Authors:  Sarah R Amend; Kenneth J Pienta
Journal:  Oncotarget       Date:  2015

Review 7.  Mechanisms of resistance to EGFR-targeted drugs: lung cancer.

Authors:  Floriana Morgillo; Carminia Maria Della Corte; Morena Fasano; Fortunato Ciardiello
Journal:  ESMO Open       Date:  2016-05-11

8.  High-resolution deconstruction of evolution induced by chemotherapy treatments in breast cancer xenografts.

Authors:  Hyunsoo Kim; Pooja Kumar; Francesca Menghi; Javad Noorbakhsh; Eliza Cerveira; Mallory Ryan; Qihui Zhu; Guruprasad Ananda; Joshy George; Henry C Chen; Susan Mockus; Chengsheng Zhang; Yan Yang; James Keck; R Krishna Murthy Karuturi; Carol J Bult; Charles Lee; Edison T Liu; Jeffrey H Chuang
Journal:  Sci Rep       Date:  2018-12-18       Impact factor: 4.379

9.  Classification and mutation prediction from non-small cell lung cancer histopathology images using deep learning.

Authors:  Nicolas Coudray; Paolo Santiago Ocampo; Theodore Sakellaropoulos; Navneet Narula; Matija Snuderl; David Fenyö; Andre L Moreira; Narges Razavian; Aristotelis Tsirigos
Journal:  Nat Med       Date:  2018-09-17       Impact factor: 53.440

10.  Predator-Free New Zealand: Conservation Country.

Authors:  James C Russell; John G Innes; Philip H Brown; Andrea E Byrom
Journal:  Bioscience       Date:  2015-03-10       Impact factor: 8.589

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  1 in total

1.  Coupling radiomics analysis of CT image with diversification of tumor ecosystem: A new insight to overall survival in stage I-III colorectal cancer.

Authors:  Yanqi Huang; Lan He; Zhenhui Li; Xin Chen; Chu Han; Ke Zhao; Yuan Zhang; Jinrong Qu; Yun Mao; Changhong Liang; Zaiyi Liu
Journal:  Chin J Cancer Res       Date:  2022-02-28       Impact factor: 5.087

  1 in total

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