Literature DB >> 17976613

What can we learn from the population incidence of cancer? Armitage and Doll revisited.

Chris Hornsby1, Karen M Page, Ian P M Tomlinson.   

Abstract

Most cancers occur with the same characteristic pattern of incidence. The simplicity of this pattern is in contrast to the perceived complexity of carcinogenesis. Therefore, age-onset statistics represent a tempting set of data and have provoked many bold but often misguided conclusions concerning the physiopathological mechanisms of cancer. Half a century has passed since the original multistage theory of Armitage and Doll. Although their basic notion of a healthy cell becoming malignant in several rate-limiting steps is still accepted, prevailing wisdom about the nature and number of these steps has never settled into a consensus. Why have we been unable to elucidate the quantitative dependence of cancer incidence on the molecular processes that feature in its aetiology? In this review we aim to provide answers for this question.

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Year:  2007        PMID: 17976613     DOI: 10.1016/S1470-2045(07)70343-1

Source DB:  PubMed          Journal:  Lancet Oncol        ISSN: 1470-2045            Impact factor:   41.316


  18 in total

1.  Age-specific incidence of cancer: Phases, transitions, and biological implications.

Authors:  Rafael Meza; Jihyoun Jeon; Suresh H Moolgavkar; E Georg Luebeck
Journal:  Proc Natl Acad Sci U S A       Date:  2008-10-20       Impact factor: 11.205

Review 2.  Toward precision medicine of breast cancer.

Authors:  Nicolas Carels; Lizânia Borges Spinassé; Tatiana Martins Tilli; Jack Adam Tuszynski
Journal:  Theor Biol Med Model       Date:  2016-02-29       Impact factor: 2.432

3.  The life history of 21 breast cancers.

Authors:  Serena Nik-Zainal; Peter Van Loo; David C Wedge; Ludmil B Alexandrov; Christopher D Greenman; King Wai Lau; Keiran Raine; David Jones; John Marshall; Manasa Ramakrishna; Adam Shlien; Susanna L Cooke; Jonathan Hinton; Andrew Menzies; Lucy A Stebbings; Catherine Leroy; Mingming Jia; Richard Rance; Laura J Mudie; Stephen J Gamble; Philip J Stephens; Stuart McLaren; Patrick S Tarpey; Elli Papaemmanuil; Helen R Davies; Ignacio Varela; David J McBride; Graham R Bignell; Kenric Leung; Adam P Butler; Jon W Teague; Sancha Martin; Goran Jönsson; Odette Mariani; Sandrine Boyault; Penelope Miron; Aquila Fatima; Anita Langerød; Samuel A J R Aparicio; Andrew Tutt; Anieta M Sieuwerts; Åke Borg; Gilles Thomas; Anne Vincent Salomon; Andrea L Richardson; Anne-Lise Børresen-Dale; P Andrew Futreal; Michael R Stratton; Peter J Campbell
Journal:  Cell       Date:  2012-05-17       Impact factor: 41.582

4.  Towards a more functional concept of causality in cancer research.

Authors:  Eiliv Lund; Vanessa Dumeaux
Journal:  Int J Mol Epidemiol Genet       Date:  2010-03-15

Review 5.  Cancer models, genomic instability and somatic cellular Darwinian evolution.

Authors:  Mark P Little
Journal:  Biol Direct       Date:  2010-04-20       Impact factor: 4.540

Review 6.  Invasion emerges from cancer cell adaptation to competitive microenvironments: quantitative predictions from multiscale mathematical models.

Authors:  Vito Quaranta; Katarzyna A Rejniak; Philip Gerlee; Alexander R A Anderson
Journal:  Semin Cancer Biol       Date:  2008-04-01       Impact factor: 15.707

Review 7.  Turning ecology and evolution against cancer.

Authors:  Kirill S Korolev; Joao B Xavier; Jeff Gore
Journal:  Nat Rev Cancer       Date:  2014-04-17       Impact factor: 60.716

8.  Somatic alterations contributing to metastasis of a castration-resistant prostate cancer.

Authors:  Michael L Nickerson; Kate M Im; Kevin J Misner; Wei Tan; Hong Lou; Bert Gold; David W Wells; Hector C Bravo; Karin M Fredrikson; Timothy T Harkins; Patrice Milos; Berton Zbar; W Marston Linehan; Meredith Yeager; Thorkell Andresson; Michael Dean; G Steven Bova
Journal:  Hum Mutat       Date:  2013-06-03       Impact factor: 4.878

9.  What can be learnt about disease progression in breast cancer dormancy from relapse data?

Authors:  Lisa Willis; Trevor A Graham; Tomás Alarcón; Malcolm R Alison; Ian P M Tomlinson; Karen M Page
Journal:  PLoS One       Date:  2013-05-06       Impact factor: 3.240

10.  Modelling the evolution of genetic instability during tumour progression.

Authors:  Ruchira S Datta; Alice Gutteridge; Charles Swanton; Carlo C Maley; Trevor A Graham
Journal:  Evol Appl       Date:  2012-11-26       Impact factor: 5.183

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