Vaccine-based clinical trials in ovarian cancer.

Expert Rev Vaccines

Department of Gynaecologic Oncology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.

Published: June 2011

Ovarian cancer vaccines are one of the new treatment strategies under investigation in epithelial ovarian cancer. This article discusses the results of different immunization strategies, points out potential pitfalls in study designs and provides possible solutions for augmentation of clinical efficacy. Most ovarian cancer vaccines have not yet evolved beyond Phase I/II studies, which do not primarily evaluate clinical efficacy. Although different approaches of antigen-specific immunization generally result in antigen-specific immune responses, clinical benefit is not consistently observed. Based on the currently available results, we emphasize the necessity of multimodal treatment of ovarian cancer, combining classical cytoreductive surgery, (neo)adjuvant chemotherapy, immunotherapy and/or targeted therapy.

Download full-text PDF

Source
http://dx.doi.org/10.1586/erv.11.42DOI Listing

Publication Analysis

Top Keywords

ovarian cancer
20
cancer vaccines
8
clinical efficacy
8
ovarian
5
cancer
5
vaccine-based clinical
4
clinical trials
4
trials ovarian
4
cancer ovarian
4
vaccines treatment
4

Similar Publications

Background: Dermatomyositis is a chronic inflammatory condition affecting muscles and skin, often associated with an increased risk of cancer. Specific autoantibodies, including anti-TIF1 (Transcription Intermediary Factor 1), have been linked to this risk. We present a case of dermatomyositis in a male patient positive for anti-TIF1 antibodies, subsequently diagnosed with squamous cell carcinoma of the tonsil, a novel association not previously documented.

View Article and Find Full Text PDF

[Analysis of Factors That Promote Awareness of Breast MRI Surveillance for Carriers of Hereditary Breast Cancer Risk Genes ( BRCA1/2)].

Nihon Hoshasen Gijutsu Gakkai Zasshi

January 2025

Department of Risk Analysis and Biodosimetry, Institute of Radiation Emergency Medicine, Hirosaki University.

Purpose: Hereditary breast and ovarian cancers (HBOC) carry a high risk of breast cancer, and detailed screening with contrast-enhanced breast MRI (breast MRI surveillance) is recommended. With the increase in the number of individuals diagnosed with HBOC, the demand for breast MRI surveillance is also rising. However, the current system is inadequate, with factors such as lack of knowledge and indifference among healthcare professionals, and insufficient understanding of breast MRI surveillance being cited.

View Article and Find Full Text PDF

Background: The pathogenesis of ovarian cancer (OvCa) involves a complex interplay of genetic, environmental, and hormonal factors. With the in-depth exploration of tumor ecosystem, exosomes can mediate the immunological status of tumor microenvironment (TME). Therefore, we aimed to recognize the tumor-derived exosomes (TEXs) which can distinguish the immune-hot and cold tumors and reflect the immunotherapeutic responses.

View Article and Find Full Text PDF

OCDet: A comprehensive ovarian cell detection model with channel attention on immunohistochemical and morphological pathology images.

Comput Biol Med

January 2025

Department of Pathology, Peking University Health Science Center, 38 College Road, Haidian, Beijing, 100191, China; Department of Pathology, School of Basic Medical Sciences, Third Hospital, Peking University Health Science Center, Beijing, 100191, China. Electronic address:

Background: Ovarian cancer is among the most lethal gynecologic malignancy that threatens women's lives. Pathological diagnosis is a key tool for early detection and diagnosis of ovarian cancer, guiding treatment strategies. The evaluation of various ovarian cancer-related cells, based on morphological and immunohistochemical pathology images, is deemed an important step.

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!