The aim of this study was to investigate the prevalence of peritoneal human papillomavirus (HPV) infection in different clinical cervical cancer (CC) settings, and its association with potential clinical and/or histological factors. This is a single-center, prospective, observational study. Consecutive patients with newly diagnosed or recurrent/persistent CC, between March 2019 and April 2020, were included. A group of patients undergoing surgery for benign gynecological conditions was included as control group. All patients underwent HPV-DNA test in the cervix and in the peritoneal cavity simultaneously at time of surgery. Two-hundred seventy-two patients had cervical and peritoneal HPV test analyzed. Cervical and peritoneal HPV positivity (PHP) was found in 235 (88.0%) and 78 (28.7%) patients, respectively; the prevalence of PHP was 17.7% in early stage, 28.8% in locally advanced cervical cancer (LACC) and 46.6% in the metastatic/persistent/recurrent setting (P = .001). No control patient was found to have peritoneal HPV infection. Higher frequency of PHP was documented in patients with larger tumor size (P = .003), presence of cervical HPV 16/18 genotypes (P < .001), higher number of cervical high-risk (HR)-HPV per patient (P = .018) and peritoneal carcinomatosis (P < .001). Multivariate analysis demonstrated that lack of preoperative cervical conization in early stages (P = .030), while higher International Federation of Gynecology and Obstetrics (FIGO) stage (P = .021) and presence of cervical HPV 16/18 (P = .001) in LACC, was associated with PHP. This is a proof-of-concept study. A number of potential clinical implications, including prognosis, could be obtained by further studies.

Download full-text PDF

Source
http://dx.doi.org/10.1002/ijc.33380DOI Listing

Publication Analysis

Top Keywords

cervical cancer
12
peritoneal hpv
12
hpv-dna test
8
hpv infection
8
group patients
8
cervical peritoneal
8
peritoneal
6
cervical
6
patients
6
hpv
5

Similar Publications

MTIOT: Identifying HPV subtypes from multiple infection data.

Comput Struct Biotechnol J

December 2024

Key Laboratory of Systems Biology, Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai 200031, China.

Persistent infection with high-risk human papillomavirus (hrHPV) is a major cause of cervical cancer. The effectiveness of current HPV-DNA testing, which is crucial for early detection, is limited in several aspects, including low sensitivity, accuracy issues, and the inability to perform comprehensive hrHPV typing. To address these limitations, we introduce MTIOT (Multiple subTypes In One Time), a novel detection method that utilizes machine learning with a new multichannel integration scheme to enhance HPV-DNA analysis.

View Article and Find Full Text PDF

The most common STD that triggers cervical cancer is the human papillomavirus. More than 20 types of human papillomavirus (HPV) can induce uterine cervical cancer. Almost all women acquire genital HPV infection soon after their first intercourse, with most of them clearing the virus within 3 years.

View Article and Find Full Text PDF

Purpose: Human papillomavirus (HPV) infection is the major cause of (pre)malignant cervical lesions. We previously demonstrated that Vvax001, a replication-incompetent Semliki Forest virus (SFV) vaccine encoding HPV type 16 (HPV16) E6 and E7, induced potent anti-E6 and -E7 cytotoxic T-cell responses. Here, we investigated the clinical efficacy of Vvax001 in patients with HPV16-positive cervical intraepithelial neoplasia grade 3 (CIN3).

View Article and Find Full Text PDF

Background: Ovarian cancer is a leading cause of mortality worldwide. The third most prevalent gynecological cancer globally, following cervical and uterine cancer, and the third leading cause of cancer-related mortality among women in Sub-Saharan Africa, including Ethiopia. The time ovarian cancer patients have to wait between diagnosis and initiation of treatment are the indicators of quality in cancer care and influence patient outcomes.

View Article and Find Full Text PDF

Association of blood group types and clinico-pathological features of gynecological cancers (GCs).

BMC Cancer

January 2025

Molecular Diseases & Diagnostics Division, Infinity Biochemistry, Infinity Solutions Unlimited, Sajjad Abad, Chattabal, Srinagar, 190010, Kashmir, India.

Background: Gynecological cancers (GCs) affect the reproductive system of females, and are of multiple types depending on the affected organ most common of which are cervical, endometrial, ovarian cancers. Among different risk factors for GCs, ABO blood group system is considered as one of the pivotal contributing factors for increased susceptibility of GCs. The aim of our study was to report on the demographics of GC patients and to investigate the relationship between the ABO blood group system and the risk of acquiring GC in our population.

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!