Evidence map›Paper›PMID 21858794›Full record

ReviewCA: a cancer journal for clinicians

Genetics, genomics, and cancer risk assessment: State of the Art and Future Directions in the Era of Personalized Medicine.

Jeffrey N Weitzel, Kathleen R Blazer, Deborah J MacDonald, Julie O Culver, Kenneth Offit

Abstract readReview
In one paragraph

Review in CA: a cancer journal for clinicians. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 139 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
139citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

139 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Pooled it
  4. Article
  5. Article
  6. Germline DDX41 mutations in myeloid neoplasms: a comprehensive review.The Korean journal of internal medicine · 2026
    Review
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  16. Precision medicine in breast cancer (Review).Molecular and clinical oncology · 2024
    Review
  17. Article
  18. Article
  19. Review
  20. Article

79 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Jeffrey N WeitzelDivision of Clinical Cancer Genetics, Department of Population Sciences, City of Hope, Duarte, CA. jweitzel@coh.org.
Kathleen R Blazer
Deborah J MacDonald
Julie O Culver
Kenneth Offit

Funding

Community Cancer Genetics and Research Training (Revision)R25CA112486 · NCI · CITY OF HOPE/BECKMAN RESEARCH INSTITUTE · PI WEITZEL, JEFFREY N · 2005 to 2009
$1.0M
Clinical Cancer Genetics Community Network: A Sustainable Research PartnershipRC4CA153828 · NCI · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI WEITZEL, JEFFREY N · 2010 to 2010
$1.0M
Genetic Discrimination Knowledge in Primary CareR03HG002846 · NHGRI · CITY OF HOPE/BECKMAN RESEARCH INSTITUTE · PI WEITZEL, JEFFREY N · 2003 to 2004
$172k
NCI NIH HHS R25 CA112486NCI NIH HHS R25CA112486NCI NIH HHS RC4 CA153828NCI NIH HHS RC4CA153828NHGRI NIH HHS R03 HG002846
6 · The paper itself

Abstract

Scientific and technologic advances are revolutionizing our approach to genetic cancer risk assessment, cancer screening and prevention, and targeted therapy, fulfilling the promise of personalized medicine. In this monograph, we review the evolution of scientific discovery in cancer genetics and genomics, and describe current approaches, benefits, and barriers to the translation of this information to the practice of preventive medicine. Summaries of known hereditary cancer syndromes and highly penetrant genes are provided and contrasted with recently discovered genomic variants associated with modest increases in cancer risk. We describe the scope of knowledge, tools, and expertise required for the translation of complex genetic and genomic test information into clinical practice. The challenges of genomic counseling include the need for genetics and genomics professional education and multidisciplinary team training, the need for evidence-based information regarding the clinical utility of testing for genomic variants, the potential dangers posed by premature marketing of first-generation genomic profiles, and the need for new clinical models to improve access to and responsible communication of complex disease risk information. We conclude that given the experiences and lessons learned in the genetics era, the multidisciplinary model of genetic cancer risk assessment and management will serve as a solid foundation to support the integration of personalized genomic information into the practice of cancer medicine.

Indexed as

Risk AssessmentGenetic Predisposition to DiseaseGenetic TestingGenomicsHumansNeoplasmsPrecision Medicine

Identifiers

PMID21858794
PMCPMC3346864

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.