Evidence map›Paper›PMID 17003396›Full record

ArticleJAMA2006

Prediction of germline mutations and cancer risk in the Lynch syndrome.

Sining Chen, Wenyi Wang, Shing Lee, Khedoudja Nafa, Johanna Lee, Kathy Romans, Patrice Watson, Stephen B Gruber, David Euhus, Kenneth W Kinzler and 9 more

Open access · greenAbstract readValidation Study
In one paragraph

Article in JAMA, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 176 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
176citing papers in PubMed, 3 pooled it
13.7field-weighted citation impact, top 1% of its field
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

176 citing papers in PubMed, 3 syntheses or guidelines pooled it, 385 citations in OpenAlex.

  1. Pooled it
  2. Which Lynch syndrome screening programs could be implemented in the "real world"? A systematic review of economic evaluations.Genetics in medicine : official journal of the American College of Medical Genetics · 2018
    Pooled it
  3. American Society of Clinical Oncology Expert Statement: collection and use of a cancer family history for oncology providers.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2014
    Guideline
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116 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors at 9 institutions in 2 countries.

Sining ChenDepartment of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md 21205, USA. sichen@jhsph.edu
Wenyi Wang
Shing Lee
Khedoudja Nafa
Johanna Lee
Kathy Romans
Patrice Watson
Stephen B Gruber
David Euhus
Kenneth W Kinzler
Jeremy Jass
Steven Gallinger
Noralane M Lindor
Graham Casey
Nathan Ellis
Francis M Giardiello
Kenneth Offit
Giovanni Parmigiani
Colon Cancer Family Registry
Johns Hopkins University · USMemorial Sloan Kettering Cancer Center · USCase Western Reserve University · USCreighton University · USMcGill University · CAThe University of Texas Southwestern Medical Center · USUniversity of Chicago · USUniversity of Michigan–Ann Arbor · USUniversity of Toronto · CA

Funding

Tumor Antigens for Individual Signatures and TherapyP50CA062924 · NCI · JOHNS HOPKINS UNIVERSITY · PI LENNON, ANNE MARIE · 1993 to 2022
$54.6M
Statistical Methods for Cancer GenesR01CA105090 · NCI · JOHNS HOPKINS UNIVERSITY · PI PARMIGIANI, GIOVANNI · 2004 to 2007
$997k
Mechanisms of carcinogenesis by CRC-susceptibility genesR03CA103500 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI ELLIS, NATHAN A. · 2003 to 2004
$168k
NCI NIH HHS CA-96-001NCI NIH HHS P50 CA062924NCI NIH HHS P50CA62924NCI NIH HHS R01 CA105090NCI NIH HHS R01CA105090NCI NIH HHS R03 CA103500
6 · The paper itself

Abstract

contextIdentifying families at high risk for the Lynch syndrome (ie, hereditary nonpolyposis colorectal cancer) is critical for both genetic counseling and cancer prevention. Current clinical guidelines are effective but limited by applicability and cost.

objectiveTo develop and validate a genetic counseling and risk prediction tool that estimates the probability of carrying a deleterious mutation in mismatch repair genes MLH1, MSH2, or MSH6 and the probability of developing colorectal or endometrial cancer. DESIGN, SETTING, AND PATIENTS: External validation of the MMRpro model was conducted on 279 individuals from 226 clinic-based families in the United States, Canada, and Australia (referred between 1993-2005) by comparing model predictions with results of highly sensitive germline mutation detection techniques. MMRpro models the autosomal dominant inheritance of mismatch repair mutations, with parameters based on meta-analyses of the penetrance and prevalence of mutations and of the predictive values of tumor characteristics. The model's prediction is tailored to each individual's detailed family history information on colorectal and endometrial cancer and to tumor characteristics including microsatellite instability.

main outcome measureAbility of MMRpro to correctly predict mutation carrier status, as measured by operating characteristics, calibration, and overall accuracy.

resultsIn the independent validation, MMRpro provided a concordance index of 0.83 (95% confidence interval, 0.78-0.88) and a ratio of observed to predicted cases of 0.94 (95% confidence interval, 0.84-1.05). This results in higher accuracy than existing alternatives and current clinical guidelines.

conclusionsMMRpro is a broadly applicable, accurate prediction model that can contribute to current screening and genetic counseling practices in a high-risk population. It is more sensitive and more specific than existing clinical guidelines for identifying individuals who may benefit from MMR germline testing. It is applicable to individuals for whom tumor samples are not available and to individuals in whom germline testing finds no mutation.

Indexed as

Genetic TestingGerm-Line MutationModels, StatisticalAdaptor Proteins, Signal TransducingAdultAlgorithmsCarrier ProteinsColorectal NeoplasmsColorectal Neoplasms, Hereditary NonpolyposisDNA-Binding ProteinsEndometrial NeoplasmsFemaleGenetic CounselingHumansMaleMiddle AgedAdaptor Proteins, Signal TransducingCarrier ProteinsDNA-Binding ProteinsG-T mismatch-binding proteinMLH1 protein, humanMSH2 protein, humanMutL Protein Homolog 1MutS Homolog 2 ProteinNuclear Proteins

Identifiers

PMID17003396
PMCPMC2538673
OpenAlexW2066833606

What OpenQuestion holds

Textmetadata
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.