Pregnancy-preserving and maternal-fetal management in a patient with rare large cell neuroendocrine carcinoma of the uterine cervix / 南方医科大学学报

OBJECTIVE@#To explore the strategy of pregnancy-preserving and maternal- fetal management in patients with primary gynecologic neuroendocrine tumors (gNETs) during pregnancy.@*METHODS@#We performed whole genome sequencing (WGS) for analyzing maternal and fetal somatic and germline single nucleotide variations (SNVs) and small insertions and deletions (InDels) for a 29-year-old pregnant woman diagnosed with stage IB2 large cell neuroendocrine carcinoma (LCNEC) and adenocarcinoma in the cervix. A systematic literature review was performed to explore the strategies for treatment of such rare histological type while maintaining pregnancy.@*RESULTS@#Global case analysis of cervical NETs during pregnancy suggested that negative lymph node metastasis and an early FIGO stage were potentially associated with a good prognosis of the patients. In the case presented herein, a pregnancy-preserving strategy was adopted and favorable maternal-fetal outcomes were achieved after neoadjuvant chemotherapy, radical surgery and postoperative systemic chemotherapy. At 35@*CONCLUSIONS@#Although gNETs in pregnancy are rare and highly risky, pregnancy-preserving managements of gNETs can still be considered and favorable maternalfetal outcomes are possible with proper assessment of the clinical indications and implementation of multimodal treatments. Precise treatment and follow-up strategies based on the results of WGS for risk-reducing intervention of cancer recurrence or occurrence can potentially benefit the patient and the neonate.

Identification and Validation of Circulating MicroRNA Signatures for Breast Cancer Early Detection Based on Large Scale Tissue-Derived Data / 한국유방암학회지

PURPOSE: Breast cancer is the most commonly occurring cancer among women worldwide, and therefore, improved approaches for its early detection are urgently needed. As microRNAs (miRNAs) are increasingly recognized as critical regulators in tumorigenesis and possess excellent stability in plasma, this study focused on using miRNAs to develop a method for identifying noninvasive biomarkers. METHODS: To discover critical candidates, differential expression analysis was performed on tissue-originated miRNA profiles of 409 early breast cancer patients and 87 healthy controls from The Cancer Genome Atlas database. We selected candidates from the differentially expressed miRNAs and then evaluated every possible molecular signature formed by the candidates. The best signature was validated in independent serum samples from 113 early breast cancer patients and 47 healthy controls using reverse transcription quantitative real-time polymerase chain reaction. RESULTS: The miRNA candidates in our method were revealed to be associated with breast cancer according to previous studies and showed potential as useful biomarkers. When validated in independent serum samples, the area under curve of the final miRNA signature (miR-21-3p, miR-21-5p, and miR-99a-5p) was 0.895. Diagnostic sensitivity and specificity were 97.9% and 73.5%, respectively. CONCLUSION: The present study established a novel and effective method to identify biomarkers for early breast cancer. And the method, is also suitable for other cancer types. Furthermore, a combination of three miRNAs was identified as a prospective biomarker for breast cancer early detection.