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Molecular characteristics of endometrial cancer coexisting with peritoneal malignant mesothelioma in Li-Fraumeni-like syndrome

Overview of attention for article published in BMC Cancer, January 2015
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Title
Molecular characteristics of endometrial cancer coexisting with peritoneal malignant mesothelioma in Li-Fraumeni-like syndrome
Published in
BMC Cancer, January 2015
DOI 10.1186/s12885-015-1010-x
Pubmed ID
Authors

Angel Chao, Chyong-Huey Lai, Yun-Shien Lee, Shir-Hwa Ueng, Chiao-Yun Lin, Tzu-Hao Wang

Abstract

BackgroundEndometrial cancer that occurs concurrently with peritoneal malignant mesothelioma (PMM) is difficult to diagnose preoperatively.Case presentationA postmenopausal woman had endometrial cancer extending to the cervix, vagina and pelvic lymph nodes, and PMM in bilateral ovaries, cul-de-sac, and multiple peritoneal sites. Adjuvant therapies included chemotherapy and radiotherapy. Targeted, massively parallel DNA sequencing and molecular inversion probe microarray analysis revealed a germline TP53 mutation compatible with Li-Fraumeni-like syndrome, somatic mutations of PIK3CA in the endometrial cancer, and a somatic mutation of GNA11 and JAK3 in the PMM. Large-scale genomic amplifications and some deletions were found in the endometrial cancer. The patient has been stable for 24 months after therapy. One of her four children was also found to carry the germline TP53 mutation.ConclusionsMolecular characterization of the coexistent tumors not only helps us make the definite diagnosis, but also provides information to select targeted therapies if needed in the future. Identification of germline TP53 mutation further urged us to monitor future development of malignancies in this patient and encourage cancer screening in her family.

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Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 20%
Student > Doctoral Student 2 13%
Researcher 2 13%
Student > Postgraduate 2 13%
Student > Ph. D. Student 1 7%
Other 3 20%
Unknown 2 13%
Readers by discipline Count As %
Medicine and Dentistry 4 27%
Nursing and Health Professions 3 20%
Agricultural and Biological Sciences 2 13%
Chemical Engineering 1 7%
Biochemistry, Genetics and Molecular Biology 1 7%
Other 1 7%
Unknown 3 20%