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Cited by 135

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Cancer incidence, patterns, and genotype–phenotype associations in individuals with pathogenic or likely pathogenic germline TP53 variants: an observational cohort study

de Andrade, Kelvin César, Khincha, Payal P, Hatton, Jessica N, Frone, Megan N, Wegman-Ostrosky, Talia, Mai, Phuong L, Best, Ana F, Savage, Sharon A·2021·The Lancet Oncology

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Citations

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Research works printed but not linked: 26

  1. Guha, 2017, Inherited TP53 mutations and the Li-Fraumeni syndrome, Cold Spring Harb Perspect Med, 7, 10.1101/cshperspect.a026187 · DOI · Paper page
  2. Mai, 2016, Risks of first and subsequent cancers among TP53 mutation carriers in the National Cancer Institute Li-Fraumeni syndrome cohort, Cancer, 122, 3673, 10.1002/cncr.30248 · DOI · Paper page
  3. Kratz, 2017, Cancer screening recommendations for individuals with Li-Fraumeni syndrome, Clin Cancer Res, 23, e38, 10.1158/1078-0432.CCR-17-0408 · DOI · Paper page
  4. Ross, 2017, The psychosocial effects of the Li-Fraumeni education and early detection (LEAD) program on individuals with Li-Fraumeni syndrome, Genet Med, 19, 1064, 10.1038/gim.2017.8 · DOI
  5. Young, 2019, Couples coping with screening burden and diagnostic uncertainty in Li-Fraumeni syndrome: connection versus independence, J Psychosoc Oncol, 37, 178, 10.1080/07347332.2018.1543376 · DOI
  6. Fortuno, 2020, Genotype-phenotype correlations among TP53 carriers: literature review and analysis of probands undergoing multi-gene panel testing and single-gene testing, Cancer Genet, 248–249, 11, 10.1016/j.cancergen.2020.09.002 · DOI
  7. Gargallo, 2020, Li-Fraumeni syndrome heterogeneity, Clin Transl Oncol, 22, 978, 10.1007/s12094-019-02236-2 · DOI
  8. Rana, 2018, Differences in TP53 mutation carrier phenotypes emerge from panel-based testing, J Natl Cancer Inst, 110, 863, 10.1093/jnci/djy001 · DOI
  9. Frebourg, 2020, Guidelines for the Li-Fraumeni and heritable TP53-related cancer syndromes, Eur J Hum Genet, 28, 1379, 10.1038/s41431-020-0638-4 · DOI · Paper page
  10. Rana, 2019, Genotype-phenotype associations among panel-based TP53+ subjects, Genet Med, 21, 2478, 10.1038/s41436-019-0541-y · DOI
  11. Fortuno, 2021, Specifications of the ACMG/AMP variant interpretation guidelines for germline TP53 variants, Hum Mutat, 42, 223, 10.1002/humu.24152 · DOI · Paper page
  12. Bouaoun, 2016, TP53 variations in human cancers: new lessons from the IARC TP53 database and genomics data, Hum Mutat, 37, 865, 10.1002/humu.23035 · DOI · Paper page
  13. Kaplan, 1958, Nonparametric-estimation from incomplete observations, J Am Stat Assoc, 53, 457, 10.1080/01621459.1958.10501452 · DOI · Paper page
  14. Gaynor, 1993, On the use of cause-specific failure and conditional failure probabilities: examples from clinical oncology data, J Am Stat Assoc, 88, 400, 10.1080/01621459.1993.10476289 · DOI · Paper page
  15. Aalen, 1978, An empirical transition matrix for non-homogeneous Markov chains based on censored observations, Scand J Stat, 5, 141
  16. Li, 1988, A cancer family syndrome in twenty-four kindreds, Cancer Res, 48, 5358
  17. Chompret, 2001, Sensitivity and predictive value of criteria for p53 germline mutation screening, J Med Genet, 38, 43, 10.1136/jmg.38.1.43 · DOI · Paper page
  18. Tinat, 2009, 2009 version of the Chompret criteria for Li Fraumeni syndrome, J Clin Oncol, 27, e108, 10.1200/JCO.2009.22.7967 · DOI · Paper page
  19. Eeles, 1995, Germline mutations in the TP53 gene, Cancer Surv, 25, 101
  20. Birch, 1994, Prevalence and diversity of constitutional mutations in the p53 gene among 21 Li-Fraumeni families, Cancer Res, 54, 1298
  21. Ognjanovic, 2012, Sarcomas in TP53 germline mutation carriers: a review of the IARC TP53 database, Cancer, 118, 1387, 10.1002/cncr.26390 · DOI · Paper page
  22. Amadou, 2018, Revisiting tumor patterns and penetrance in germline TP53 mutation carriers: temporal phases of Li-Fraumeni syndrome, Curr Opin Oncol, 30, 23, 10.1097/CCO.0000000000000423 · DOI · Paper page
  23. Ferrari, 2011, Soft tissue sarcoma across the age spectrum: a population-based study from the Surveillance Epidemiology and End Results database, Pediatr Blood Cancer, 57, 943, 10.1002/pbc.23252 · DOI · Paper page
  24. Noone, 2017, cancer incidence and survival trends by subtype using data from the Surveillance Epidemiology and End Results Program, 1992–2013, Cancer Epidemiol Biomarkers Prev, 26, 632, 10.1158/1055-9965.EPI-16-0520 · DOI · Paper page
  25. Olivier, 2003, Li-Fraumeni and related syndromes: correlation between tumor type, family structure, and TP53 genotype, Cancer Res, 63, 6643
  26. Gonzalez, 2009, Beyond Li Fraumeni syndrome: clinical characteristics of families with p53 germline mutations, J Clin Oncol, 27, 1250, 10.1200/JCO.2008.16.6959 · DOI · Paper page

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Metadata

Authors
de Andrade, K. C., Khincha, P. P., Hatton, J. N., Frone, M. N., Wegman-Ostrosky, T., Mai, P. L., Best, A. F., & Savage, S. A.
Venue
The Lancet Oncology
Publisher
Elsevier BV
Published
2021-12
Volume
22
Issue
12
Pages
1787-1798
ISSN
1470-2045
Cited by
135
References
5
Language
en
Licence
  • www.elsevier.com/tdm/userlicense/1.0/ (tdm)
  • www.elsevier.com/legal/tdmrep-license (tdm)
Funders
National Cancer Institute Division of Cancer Epidemiology and Genetics

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CoChat. (2026). Citation check: Cancer incidence, patterns, and genotype–phenotype associations in individuals with pathogenic or likely pathogenic germline TP53 variants: an observational cohort study. https://app.cochat.ai/papers/10.1016/s1470-2045(21)00580-5
The paper
de Andrade, K. C., Khincha, P. P., Hatton, J. N., Frone, M. N., Wegman-Ostrosky, T., Mai, P. L., Best, A. F., & Savage, S. A. (2021). Cancer incidence, patterns, and genotype–phenotype associations in individuals with pathogenic or likely pathogenic germline TP53 variants: an observational cohort study. The Lancet Oncology. https://doi.org/10.1016/s1470-2045(21)00580-5

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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.