Evidence map›Paper›PMID 31719101›Full record

ArticleCancer research2020

Penetrance of Different Cancer Types in Families with Li-Fraumeni Syndrome: A Validation Study Using Multicenter Cohorts.

Seung Jun Shin, Elissa B Dodd-Eaton, Gang Peng, Jasmina Bojadzieva, Jingxiao Chen, Christopher I Amos, Megan N Frone, Payal P Khincha, Phuong L Mai, Sharon A Savage and 5 more

Open access · greenAbstract readComment
In one paragraph

Article in Cancer research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.4field-weighted citation impact, top 16% 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

21 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. Review
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  4. TheBioinformatics advances · 2025
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  11. A Novel Variant in theChildren (Basel, Switzerland) · 2023
    Article
  12. Hereditary cancer syndromes.World journal of clinical oncology · 2023
    Review
  13. Review
  14. Article
  15. Article
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  17. Article
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  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 6 institutions in 4 countries.

Seung Jun ShinDepartment of Statistics, Korea University, Seoul, South Korea.
Elissa B Dodd-EatonDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Gang PengDepartment of Biostatistics, Yale University, New Haven, Connecticut.
Jasmina BojadzievaDepartment of Genetics, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Jingxiao ChenDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0003-2461-4616
Christopher I AmosDan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas.ORCID 0000-0002-8540-7023
Megan N FroneClinical Genetics Branch, Division of Cancer Genetic and Epidemiology, NCI, Bethesda, Maryland.
Payal P KhinchaClinical Genetics Branch, Division of Cancer Genetic and Epidemiology, NCI, Bethesda, Maryland.
Phuong L MaiCancer Genetics Program, Magee Womens Hospital, Pittsburgh, Pennsylvania.
Sharon A SavageClinical Genetics Branch, Division of Cancer Genetic and Epidemiology, NCI, Bethesda, Maryland.ORCID 0000-0001-6006-0740
Mandy L BallingerThe Kinghorn Cancer Center and Garvan Institute of Medical Research, Darlinghurst, Australia.
David M ThomasThe Kinghorn Cancer Center and Garvan Institute of Medical Research, Darlinghurst, Australia.
Ying YuanDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Louise C StrongDepartment of Genetics, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0001-6795-3744
Wenyi WangDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas. wwang7@mdanderson.org.
The University of Texas MD Anderson Cancer Center · USCancer Genetics (United States) · USGarvan Institute of Medical Research · AUChildren's Cancer Center · USMagee-Womens Hospital · USYale University · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
Yale Pathology Tissue Services Shared ResourceP30CA016359 · NCI · YALE UNIVERSITY · PI MEGAN C KING · 1985 to 2026
$85.0M
Yale SPORE in Lung Cancer (YSILC): The Biology and Personalized Treatment of Lung CancerP50CA196530 · NCI · YALE UNIVERSITY · PI Kurt A Schalper · 2015 to 2026
$31.1M
TRANSCRIPTIONAL REGULATION OF WT-1P01CA034936 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI HUFF, VICKI · 1985 to 2010
$26.4M
Translating Molecular and Clinical Data to Population Lung Cancer Risk AssessmentU19CA203654 · NCI · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI Christopher I. Amos · 2017 to 2026
$23.7M
Coordinating Center: Molecular and Cellular Findings of Screen-Detected LesionsU01CA196386 · NCI · DARTMOUTH COLLEGE · PI AMOS, CHRISTOPHER I. · 2015 to 2020
$4.1M
Genome-Wide Association Study (GWAS) in Hepatocellular Carcinoma (HCC)R01CA186566 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI AMOS, CHRISTOPHER I., HASSAN, MANAL METWALLY · 2015 to 2019
$3.6M
Consistent variable selection in p>>n settingsR01CA158113 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI JOHNSON, VALEN EARL · 2011 to 2020
$2.8M
Statistical methods for genomic analysis of heterogeneous tumorsR01CA183793 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI WANG, WENYI · 2014 to 2018
$1.7M
Bioinformatics Tools for Genomic Analysis of Tumor and Stromal Pathways in CancerR01CA174206 · NCI · DANA-FARBER CANCER INST · PI PARMIGIANI, GIOVANNI LUIGI · 2013 to 2017
$1.7M
Statistical methods and tools for cancer risk prediction in families with germline mutations in TP53R01CA239342 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI WANG, WENYI · 2019 to 2022
$1.5M
NCI NIH HHS P01 CA034936NCI NIH HHS P30 CA016359NCI NIH HHS P30 CA016672NCI NIH HHS P50 CA196530NCI NIH HHS R01 CA158113NCI NIH HHS R01 CA174206NCI NIH HHS R01 CA183793NCI NIH HHS R01 CA186566NCI NIH HHS R01 CA239342NCI NIH HHS U01 CA196386NCI NIH HHS U19 CA203654
6 · The paper itself

Abstract

Li-Fraumeni syndrome (LFS) is a rare hereditary cancer syndrome associated with an autosomal-dominant mutation inheritance in the

Indexed as

Li-Fraumeni SyndromeNeoplasms, Second PrimaryChildGenetic Predisposition to DiseaseGerm-Line MutationHumansPedigreePenetranceTumor Suppressor Protein p53Tumor Suppressor Protein p53

Identifiers

PMID31719101
PMCPMC6980689
OpenAlexW2986825289

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.