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Potential for Mitochondrial DNA Sequencing in the Differential Diagnosis of Gynaecological Malignancies

Authors :
Anna Maria Porcelli
Pierandrea De Iaco
Giulia Borghese
Giuseppe Gasparre
Lorena Marchio
Martina Procaccini
Giulia Girolimetti
Anna Myriam Perrone
Alessandra Livi
Perrone, Anna Myriam
Girolimetti, Giulia
Procaccini, Martina
Marchio, Lorena
Livi, Alessandra
Borghese, Giulia
Porcelli, Anna Maria
De Iaco, Pierandrea
Gasparre, Giuseppe
Source :
International Journal of Molecular Sciences, International Journal of Molecular Sciences, Vol 19, Iss 7, p 2048 (2018)
Publication Year :
2018

Abstract

In the event of multiple synchronous gynecological lesions, a fundamental piece of information to determine patient management, prognosis, and therapeutic regimen choice is whether the simultaneous malignancies arise independently or as a result of metastatic dissemination. An example of synchronous primary tumors of the female genital tract most frequently described are ovarian and endometrial cancers. Surgical findings and histopathological examination aimed at resolving this conundrum may be aided by molecular analyses, although they are too often inconclusive. High mitochondrial DNA (mtDNA) variability and its propensity to accumulate mutations has been proposed by our group as a tool to define clonality. We showed mtDNA sequencing to be informative in synchronous primary ovarian and endometrial cancer, detecting tumor-specific mutations in both lesions, ruling out independence of the two neoplasms, and indicating clonality. Furthermore, we tested this method in another frequent simultaneously detected gynecological lesion type, borderline ovarian cancer and their peritoneal implants, which may be monoclonal extra-ovarian metastases or polyclonal independent masses. The purpose of this review is to provide an update on the potential use of mtDNA sequencing in distinguishing independent and metastatic lesions in gynecological cancers, and to compare the efficiency of molecular analyses currently in use with this novel method.

Details

ISSN :
14220067
Volume :
19
Issue :
7
Database :
OpenAIRE
Journal :
International journal of molecular sciences
Accession number :
edsair.doi.dedup.....17cec80d88194e492ea227bd0b84e23a