The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Concise Handbook of Familial Cancer Susceptibility Syndromes - Second Edition
Open accessAbstract
More than 10 years have passed since we first attempted to develop a clinically accessible catalog of recognizable family cancer syndromes (1). Our sense at that time was that we were on the brink of an avalanche of information regarding the inherited basis of human neoplasia and that the clinical consequences of these novel molecular insights threatened to overwhelm both health-care providers and their patients. We attempted to distill currently available data related to the most common genetically determined cancer susceptibility syndromes into a format that would make this arcane knowledge more readily accessible to busy clinicians who only occasionally needed this information. It seemed inevitable that, as the number of disorders for which germline mutation testing for cancer susceptibility increased, the need for a better understanding of how to approach these challenging clinical problems would follow. And so it has. It is now increasingly routine to undertake a cancer genetics risk assessment, which includes the option of germline mutation testing for one or more relevant genes, for an astonishing array of disorders. Experience over the past several decades has demonstrated, unequivocally, that the study of rare familial clusters is a remarkably productive scientific and clinical enterprise. These data have identified multiple new susceptibility genes, defined the clinical phenotype of specific disorders more precisely, and have informed our understanding of the pathogenesis of hereditary and nonhereditary cancers at the individual, population, and laboratory levels. For example, recognition of the Li–Fraumeni syndrome provides a vivid illustration of how the identification of familial clusters of childhood sarcomas and breast cancer ultimately led to the identification of germline mutations in the p53 tumor suppressor gene as the genetic basis for this disorder, thereby providing seminal insights from clinical cancer genetics to the molecular biology of both inherited and sporadic cancers (2–6). Progress begets new challenges. Previously unfamiliar concepts related to clinical genetics are now being integrated into the information base used by diverse health-care providers, most of whom have no formal training in genetics. The need has never been greater for clinicians to be well grounded in the biological and molecular bases of the diseases which they encounter and to become familiar with related new clinical issues, including predictive risk assessment, genetic counseling, germline mutation testing for clinical decision making, the duty to warn at-risk relatives vs their high-risk patients’ right to privacy and confidentiality and, most importantly, the need for evidence-based, safe, and effective management recommendations for high-risk individuals. Proposed elements of informed consent related to testing for inherited cancer susceptibility are set forth in Table 1. Basic elements of informed consent for cancer susceptibility testing (7) Basic elements of informed consent for cancer susceptibility testing (7) The advent of syndrome-specific germline mutation testing represents a major advance in the care of cancer-prone individuals. But, in the process of focusing on the molecular biology of human cancer susceptibility, the importance of taking a thoughtful family history cannot be emphasized sufficiently. Because the pace, complexity, and sophistication of medical practice have accelerated, the decidedly low-tech but nonetheless invaluable family history often receives short shrift, depriving both the patient and the health-care provider of information that might have a substantial impact on clinical decisions and patient outcome. In one survey of 100 unselected colorectal cancer patients, the medical record contained a family history in only 46% of subjects and, of those, only 80% were accurate (8). Taking an appropriately focused family history must receive increased emphasis in the course of daily practice. The Family History Public Health Initiative of the US Center for Disease Control and Prevention (http://www.cdc.gov/genomics/activities/famhx.htm) recognizes and promotes this need (9). Learning the clinical features that suggest the possibility of an underlying genetic predisposition to cancer is another, easily mastered diagnostic tool (Table 2). These guidelines are not infallible but, when used to guide the collection of family history data, they have been proven to be clinically useful. Features that suggest the presence of a hereditary cancer predisposition [modified from Weber et al. (10)] Features that suggest the presence of a hereditary cancer predisposition [modified from Weber et al. (10)] Because much of our risk assessment and clinical decision making rests on empirical studies of self-reported, unverified family history, a brief comment regarding these data is warranted. Diagnosis accuracy varies considerably, depending on the age, gender, and cancer status of the respondent
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Cancer in xeroderma pigmentosum and related disorders of DNA repair
Cleaver, J. E. (2005) · Nature Reviews Cancer · doi:10.1038/nrc1652 · Cited by 427
Cited by
Germline Mutations in Predisposition Genes in Pediatric Cancer
Zhang, J., Walsh, M. F., Wu, G., Edmonson, M. N., Gruber, T. A., Easton, J., Hedges, D., Ma, X., Zhou, X., Yergeau, D. A., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1508054 · Cited by 1,345
Robson, M. E., Bradbury, A. R., Arun, B., Domchek, S. M., Ford, J. M., Hampel, H. L., Lipkin, S. M., Syngal, S., Wollins, D. S., & Lindor, N. M. (2015) · Journal of Clinical Oncology · doi:10.1200/jco.2015.63.0996 · Cited by 934
Self-citationGoodenberger, M. L., & Jenkins, R. B. (2012) · Cancer Genetics · doi:10.1016/j.cancergen.2012.10.009 · Cited by 846
Genetic and molecular epidemiology of adult diffuse glioma
Molinaro, A. M., Taylor, J. W., Wiencke, J. K., & Wrensch, M. R. (2019) · Nature Reviews Neurology · doi:10.1038/s41582-019-0220-2 · Cited by 709
Recent Advances From Basic and Clinical Studies of Esophageal Squamous Cell Carcinoma
Ohashi, S., Miyamoto, S., Kikuchi, O., Goto, T., Amanuma, Y., & Muto, M. (2015) · Gastroenterology · doi:10.1053/j.gastro.2015.08.054 · Cited by 530
Metadata
- Authors
- Lindor, N. M., McMaster, M. L., Lindor, C. J., & Greene, M. H.
- Venue
- JNCI Monographs
- Publisher
- Oxford University Press (OUP)
- Published
- 2008-06-01
- Volume
- 2008
- Issue
- 38
- Pages
- 3-93
- ISSN
- 1052-6773 (ISSN-L)
- 1745-6614
- OpenAlex
- W2070742943
- Cited by
- 307
- References
- 1
- FWCI
- 10.02
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Concise Handbook of Familial Cancer Susceptibility Syndromes - Second Edition. https://app.cochat.ai/papers/10.1093/jncimonographs/lgn001
- The paper
- Lindor, N. M., McMaster, M. L., Lindor, C. J., & Greene, M. H. (2008). Concise Handbook of Familial Cancer Susceptibility Syndromes - Second Edition. JNCI Monographs. https://doi.org/10.1093/jncimonographs/lgn001
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.