Many high-grade serous carcinomas (HGSCs) of the pelvis are thought to originate in the distal portion of the fallopian tube. Serous tubal intra-epithelial carcinoma (STIC) lesions are the putative precursor to HGSC and identifiable in ~ 50% of advanced stage cases. To better understand the molecular etiology of HGSCs, we report a multi-center integrated genomic analysis of advanced stage tumors with and without STIC lesions and normal tissues. The most significant focal DNA SCNAs were shared between cases with and without STIC lesions. The RNA sequence and the miRNA data did not identify any clear separation between cases with and without STIC lesions. HGSCs had molecular profiles more similar to normal fallopian tube epithelium than ovarian surface epithelium or peritoneum. The data suggest that the molecular features of HGSCs with and without associated STIC lesions are mostly shared, indicating a common biologic origin, likely to be the distal fallopian tube among all cases.High-grade serous carcinomas (HGSCs) are associated with precursor lesions (STICs) in the fallopian epithelium in only half of the cases. Here the authors report the molecular analysis of HGSCs with and without associated STICs and show similar profiles supporting a common origin for all HGSCs.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5645359PMC
http://dx.doi.org/10.1038/s41467-017-01217-9DOI Listing

Publication Analysis

Top Keywords

stic lesions
20
fallopian tube
12
hgscs associated
12
molecular analysis
8
high-grade serous
8
serous tubal
8
tubal intra-epithelial
8
intra-epithelial carcinoma
8
serous carcinomas
8
carcinomas hgscs
8

Similar Publications

High-Grade Serous Ovarian Cancer (HGSOC) originates from fallopian tube (FT) precursors. However, the molecular changes that occur as precancerous lesions progress to HGSOC are not well understood. To address this, we integrated high-plex imaging and spatial transcriptomics to analyze human tissue samples at different stages of HGSOC development, including p53 signatures, serous tubal intraepithelial carcinomas (STIC), and invasive HGSOC.

View Article and Find Full Text PDF
Article Synopsis
  • Serous tubal intraepithelial carcinoma (STIC) lesions are precursors to high-grade serous ovarian carcinomas, which have the highest mortality rates among gynecologic cancers, particularly affecting women with hereditary risk factors.
  • A 38-year-old woman of Nepalese descent was found to have a STIC lesion during an opportunistic salpingectomy performed for sterilization, highlighting the potential risks even in patients considered average risk for ovarian cancer.
  • While the SEE-FIM protocol, which is more sensitive for detecting STIC lesions, is typically not applied to average risk patients, implementing it could reduce missed diagnoses, although the costs and effort involved remain uncertain, especially among underrepresented populations.
View Article and Find Full Text PDF

Background: Serous tubal intraepithelial carcinoma (STIC) is an early-stage cancerous lesion found in the fallopian tubes, often at the fimbrial end. It is strongly associated with high-grade serous carcinoma (HGSC), a highly aggressive type of ovarian cancer. STIC is considered a precursor to many HGSC cases, originating in the fallopian tubes.

View Article and Find Full Text PDF

A Case of Carcinosarcoma of the Peritoneum With Serous Tubal Intraepithelial Carcinoma.

Case Rep Obstet Gynecol

October 2024

Department of Obstetrics and Gynecology, Faculty of Medicine, Kyorin University, Tokyo, Japan.

Article Synopsis
  • - A 66-year-old woman with abdominal distention was found to have massive ascites and disseminated nodules, leading to a diagnosis of suspected Stage IIIC primary peritoneal carcinoma after imaging tests.
  • - After preoperative chemotherapy, she underwent tumor reduction surgery, which revealed a primary high-grade serous carcinoma along with sarcoma and STIC in her left fallopian tube.
  • - This case emphasizes the connection between peritoneal carcinoma and conditions originating from the fimbriae of the fallopian tube, contributing to understanding and potential treatments for this rare form of carcinosarcoma.
View Article and Find Full Text PDF

In recent years, it has become clear that artificial intelligence (AI) models can achieve high accuracy in specific pathology-related tasks. An example is our deep-learning model, designed to automatically detect serous tubal intraepithelial carcinoma (STIC), the precursor lesion to high-grade serous ovarian carcinoma, found in the fallopian tube. However, the standalone performance of a model is insufficient to determine its value in the diagnostic setting.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!