| Title |
PTEN, DICER1, FH, and Their Associated Tumor Susceptibility Syndromes: Clinical Features, Genetics, and Surveillance Recommendations in Childhood
|
|---|---|
| Published in |
Clinical Cancer Research, June 2017
|
| DOI | 10.1158/1078-0432.ccr-17-0629 |
| Pubmed ID | |
| Authors |
Kris Ann P. Schultz, Surya P. Rednam, Junne Kamihara, Leslie Doros, Maria Isabel Achatz, Jonathan D. Wasserman, Lisa R. Diller, Laurence Brugières, Harriet Druker, Katherine A. Schneider, Rose B. McGee, William D. Foulkes |
| Abstract |
PTEN hamartoma tumor syndrome (PHTS), DICER1 syndrome, and hereditary leiomyomatosis and renal cell cancer (HLRCC) syndrome are pleiotropic tumor predisposition syndromes that include benign and malignant neoplasms affecting adults and children. PHTS includes several disorders with shared and distinct clinical features. These are associated with elevated lifetime risk of breast, thyroid, endometrial, colorectal, and renal cancers as well as melanoma. Thyroid cancer represents the predominant cancer risk under age 20 years. DICER1 syndrome includes risk for pleuropulmonary blastoma, cystic nephroma, ovarian sex cord-stromal tumors, and multinodular goiter and thyroid carcinoma as well as brain tumors including pineoblastoma and pituitary blastoma. Individuals with HLRCC may develop multiple cutaneous and uterine leiomyomas, and they have an elevated risk of renal cell carcinoma. For each of these syndromes, a summary of the key syndromic features is provided, the underlying genetic events are discussed, and specific screening is recommended. Clin Cancer Res; 23(12); e76-e82. ©2017 AACRSee all articles in the online-only CCR Pediatric Oncology Series. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| China | 1 | 33% |
| United States | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 136 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 25 | 18% |
| Researcher | 20 | 15% |
| Student > Postgraduate | 14 | 10% |
| Student > Ph. D. Student | 11 | 8% |
| Student > Bachelor | 8 | 6% |
| Other | 29 | 21% |
| Unknown | 29 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 71 | 52% |
| Biochemistry, Genetics and Molecular Biology | 15 | 11% |
| Nursing and Health Professions | 4 | 3% |
| Agricultural and Biological Sciences | 4 | 3% |
| Chemistry | 2 | 1% |
| Other | 4 | 3% |
| Unknown | 36 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 June 2017.
All research outputs
#15,465,171
of 22,981,247 outputs
Outputs from Clinical Cancer Research
#10,542
of 12,639 outputs
Outputs of similar age
#199,350
of 317,509 outputs
Outputs of similar age from Clinical Cancer Research
#164
of 218 outputs
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