Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2018 Sep;50(9):1212-1218.
doi: 10.1038/s41588-018-0202-0. Epub 2018 Aug 29.

Cancer genetics, precision prevention and a call to action

Affiliations
Review

Cancer genetics, precision prevention and a call to action

Clare Turnbull et al. Nat Genet. 2018 Sep.

Erratum in

Abstract

More than 15 years have passed since the identification, through linkage, of 'first-wave' susceptibility genes for common cancers (BRCA1, BRCA2, MLH1 and MSH2). These genes have strong frequency-penetrance profiles, such that the associated clinical utility probably remains relevant regardless of the context of ascertainment. 'Second-wave' genes, not tractable by linkage, were subsequently identified by mutation screening of candidate genes (PALB2, ATM, CHEK2, BRIP1, RAD51C and RAD51D). Their innately weaker frequency-penetrance profiles have rendered delineation of cancer associations, risks and variant pathogenicity challenging, thereby compromising their clinical application. Early germline exome-sequencing endeavors for common cancers did not yield the long-anticipated slew of 'next-wave' genes but instead implied a highly polygenic genomic architecture requiring much larger experiments to make any substantive inroads into gene discovery. As such, the 'genetic economics' of frequency penetrance clearly indicates that focused identification of carriers of first-wave-gene mutations is most impactful for cancer control. With screening, prevention and early detection at the forefront of the cancer management agenda, we propose that the time is nigh for the initiation of national population-testing programs to identify carriers of first-wave gene mutation carriers. To fully deliver a precision prevention program, long-term, large-scale mutation studies that capture longitudinal clinical data and serial biosamples are required.

PubMed Disclaimer

Conflict of interest statement

Competing Interests

The authors declare no competing financial or non-financial interests as defined by Nature Research.

Figures

Figure 1
Figure 1. Risk penetrance profile for genetic susceptibility factors for:
(a) Breast cancer; (b) Colorectal cancer
Figure 2
Figure 2. Attributes for a precision prevention programme, by cancer
(1) Contribution by frequency-penetrance of high penetrance susceptibility genes (2) Heritability and % excess familial risk explained by common (GWAS) alleles (3) Receiver operator performance of totality of known lifestyle/non-genetic factors (4) Incidence (Annual cases in UK: + <5,000; ++ 5,000-9,999; +++ 10,000-19,999; ++++ 20,000-39,999; +++++, ≥40,000) (5) Mortality (10 year survival + >80%; ++ 60-80%; +++ 40-60%; ++++: 20-40%; +++++ <20%) (6) Natural history of disease is well understood (eg robust biomarkers to predict poor prognosis disease) (7) Effective and acceptable screening tool and confirmatory test consistent with delivery of national screening programme. (8) Effective and acceptable chemoprophylaxis eg breast cancer (tamoxifen, AIs, SERMS) and colorectal cancer (aspirin) (9) Elective and acceptable option for presymptomatic surgical removal of organ at risk.

References

    1. Yurgelun MB, Chenevix-Trench G, Lippman SM. Translating Germline Cancer Risk into Precision Prevention. Cell. 2017;168:566–570. - PubMed
    1. Spira A, et al. Leveraging premalignant biology for immune-based cancer prevention. Proceedings of the National Academy of Sciences. 2016;113:10750–10758. - PMC - PubMed
    1. Nolan E, et al. RANK ligand as a potential target for breast cancer prevention in BRCA1-mutation carriers. Nat Med. 2016;22:933–9. - PubMed
    1. Cancer incidence statistics. Cancer Research UK; 2017.
    1. Burrell RA, Swanton C. Tumour heterogeneity and the evolution of polyclonal drug resistance. Mol Oncol. 2014;8:1095–111. - PMC - PubMed

Publication types