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1.
A pedigree-based prediction model identifies carriers of deleterious de novo mutations in families with Li-Fraumeni syndrome.
Genome Res
; 30(8): 1170-1180, 2020 08.
Artículo
en Inglés
| MEDLINE | ID: mdl-32817165
2.
Validating Risk Prediction Models for Multiple Primaries and Competing Cancer Outcomes in Families With Li-Fraumeni Syndrome Using Clinically Ascertained Data.
J Clin Oncol
; 42(18): 2186-2195, 2024 Jun 20.
Artículo
en Inglés
| MEDLINE | ID: mdl-38569124
3.
LFSPROShiny: An Interactive R/Shiny App for Prediction and Visualization of Cancer Risks in Families With Deleterious Germline TP53 Mutations.
JCO Clin Cancer Inform
; 8: e2300167, 2024 Feb.
Artículo
en Inglés
| MEDLINE | ID: mdl-38346271
4.
Personalized Risk Prediction for Cancer Survivors: A Bayesian Semi-parametric Recurrent Event Model with Competing Outcomes.
bioRxiv
; 2023 Mar 06.
Artículo
en Inglés
| MEDLINE | ID: mdl-36909464
5.
LFSPROShiny: an interactive R/Shiny app for prediction and visualization of cancer risks in families with deleterious germline TP53 mutations.
medRxiv
; 2023 Aug 15.
Artículo
en Inglés
| MEDLINE | ID: mdl-37645796
6.
Validating risk prediction models for multiple primaries and competing cancer outcomes in families with Li-Fraumeni syndrome using clinically ascertained data at a single institute.
medRxiv
; 2023 Sep 02.
Artículo
en Inglés
| MEDLINE | ID: mdl-37693464
7.
Penetrance Estimates Over Time to First and Second Primary Cancer Diagnosis in Families with Li-Fraumeni Syndrome: A Single Institution Perspective.
Cancer Res
; 80(2): 347-353, 2020 01 15.
Artículo
en Inglés
| MEDLINE | ID: mdl-31719099
8.
Penetrance of Different Cancer Types in Families with Li-Fraumeni Syndrome: A Validation Study Using Multicenter Cohorts.
Cancer Res
; 80(2): 354-360, 2020 01 15.
Artículo
en Inglés
| MEDLINE | ID: mdl-31719101
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