Literature DB >> 25535351

Only three driver gene mutations are required for the development of lung and colorectal cancers.

Cristian Tomasetti1, Luigi Marchionni2, Martin A Nowak3, Giovanni Parmigiani4, Bert Vogelstein5.   

Abstract

Cancer arises through the sequential accumulation of mutations in oncogenes and tumor suppressor genes. However, how many such mutations are required for a normal human cell to progress to an advanced cancer? The best estimates for this number have been provided by mathematical models based on the relation between age and incidence. For example, the classic studies of Nordling [Nordling CO (1953) Br J Cancer 7(1):68-72] and Armitage and Doll [Armitage P, Doll R (1954) Br J Cancer 8(1):1-12] suggest that six or seven sequential mutations are required. Here, we describe a different approach to derive this estimate that combines conventional epidemiologic studies with genome-wide sequencing data: incidence data for different groups of patients with the same cancer type were compared with respect to their somatic mutation rates. In two well-documented cancer types (lung and colon adenocarcinomas), we find that only three sequential mutations are required to develop cancer. This conclusion deepens our understanding of the process of carcinogenesis and has important implications for the design of future cancer genome-sequencing efforts.

Entities:  

Keywords:  cancer; cancer evolution; cancer incidence; driver mutations; somatic mutation rate

Mesh:

Year:  2014        PMID: 25535351      PMCID: PMC4291633          DOI: 10.1073/pnas.1421839112

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  31 in total

Review 1.  Hereditary colorectal cancer.

Authors:  Henry T Lynch; Albert de la Chapelle
Journal:  N Engl J Med       Date:  2003-03-06       Impact factor: 91.245

Review 2.  Two genetic hits (more or less) to cancer.

Authors:  A G Knudson
Journal:  Nat Rev Cancer       Date:  2001-11       Impact factor: 60.716

3.  Multistage carcinogenesis and the incidence of colorectal cancer.

Authors:  E Georg Luebeck; Suresh H Moolgavkar
Journal:  Proc Natl Acad Sci U S A       Date:  2002-11-01       Impact factor: 11.205

Review 4.  The mutation rate and cancer.

Authors:  A L Jackson; L A Loeb
Journal:  Genetics       Date:  1998-04       Impact factor: 4.562

5.  Smoking, smoking cessation, and lung cancer in the UK since 1950: combination of national statistics with two case-control studies.

Authors:  R Peto; S Darby; H Deo; P Silcocks; E Whitley; R Doll
Journal:  BMJ       Date:  2000-08-05

6.  Are two mutations sufficient to cause cancer? Some generalizations of the two-mutation model of carcinogenesis of Moolgavkar, Venzon, and Knudson, and of the multistage model of Armitage and Doll.

Authors:  M P Little
Journal:  Biometrics       Date:  1995-12       Impact factor: 2.571

7.  Mutation and cancer: statistical study of retinoblastoma.

Authors:  A G Knudson
Journal:  Proc Natl Acad Sci U S A       Date:  1971-04       Impact factor: 11.205

8.  Multistage carcinogenesis: population-based model for colon cancer.

Authors:  S H Moolgavkar; E G Luebeck
Journal:  J Natl Cancer Inst       Date:  1992-04-15       Impact factor: 13.506

9.  A stochastic two-stage model for cancer risk assessment. I. The hazard function and the probability of tumor.

Authors:  S H Moolgavkar; A Dewanji; D J Venzon
Journal:  Risk Anal       Date:  1988-09       Impact factor: 4.000

10.  A new theory on cancer-inducing mechanism.

Authors:  C O NORDLING
Journal:  Br J Cancer       Date:  1953-03       Impact factor: 7.640

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  127 in total

Review 1.  Colorectal cancer: genetic abnormalities, tumor progression, tumor heterogeneity, clonal evolution and tumor-initiating cells.

Authors:  Ugo Testa; Elvira Pelosi; Germana Castelli
Journal:  Med Sci (Basel)       Date:  2018-04-13

2.  Mutation analysis of 13 driver genes of colorectal cancer-related pathways in Taiwanese patients.

Authors:  Yuli Christine Chang; Jan-Gowth Chang; Ta-Chih Liu; Chien-Yu Lin; Shu-Fen Yang; Cheng-Mao Ho; William Tzu-Liang Chen; Ya-Sian Chang
Journal:  World J Gastroenterol       Date:  2016-02-21       Impact factor: 5.742

Review 3.  The Role of BEAMing and Digital PCR for Multiplexed Analysis in Molecular Oncology in the Era of Next-Generation Sequencing.

Authors:  Jérôme Alexandre Denis; Erell Guillerm; Florence Coulet; Annette K Larsen; Jean-Marc Lacorte
Journal:  Mol Diagn Ther       Date:  2017-12       Impact factor: 4.074

4.  Morphological characterization of colorectal cancers in The Cancer Genome Atlas reveals distinct morphology-molecular associations: clinical and biological implications.

Authors:  Jinru Shia; Nikolaus Schultz; Deborah Kuk; Efsevia Vakiani; Sumit Middha; Neil H Segal; Jaclyn F Hechtman; Michael F Berger; Zsofia K Stadler; Martin R Weiser; Jedd D Wolchok; C Richard Boland; Mithat Gönen; David S Klimstra
Journal:  Mod Pathol       Date:  2016-12-16       Impact factor: 7.842

5.  Mutant-Allele Tumor Heterogeneity Scores Correlate With Risk of Metastases in Colon Cancer.

Authors:  Ashwani Rajput; Thèrése Bocklage; Alissa Greenbaum; Ji-Hyun Lee; Scott A Ness
Journal:  Clin Colorectal Cancer       Date:  2016-11-23       Impact factor: 4.481

Review 6.  Deoxyribonucleotide metabolism, mutagenesis and cancer.

Authors:  Christopher K Mathews
Journal:  Nat Rev Cancer       Date:  2015-09       Impact factor: 60.716

7.  MUC16 mutations improve patients' prognosis by enhancing the infiltration and antitumor immunity of cytotoxic T lymphocytes in the endometrial cancer microenvironment.

Authors:  Jing Hu; Jing Sun
Journal:  Oncoimmunology       Date:  2018-08-06       Impact factor: 8.110

Review 8.  The dynamic control of signal transduction networks in cancer cells.

Authors:  Walter Kolch; Melinda Halasz; Marina Granovskaya; Boris N Kholodenko
Journal:  Nat Rev Cancer       Date:  2015-08-20       Impact factor: 60.716

9.  Systematic Prioritization of Druggable Mutations in ∼5000 Genomes Across 16 Cancer Types Using a Structural Genomics-based Approach.

Authors:  Junfei Zhao; Feixiong Cheng; Yuanyuan Wang; Carlos L Arteaga; Zhongming Zhao
Journal:  Mol Cell Proteomics       Date:  2015-12-09       Impact factor: 5.911

Review 10.  Taspase1: a 'misunderstood' protease with translational cancer relevance.

Authors:  D Wünsch; A Hahlbrock; S Jung; T Schirmeister; J van den Boom; O Schilling; S K Knauer; R H Stauber
Journal:  Oncogene       Date:  2015-12-14       Impact factor: 9.867

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