Objectives: Given the recent rapid increase in telemedicine in the setting of the COVID-19 pandemic, we sought to investigate the utility of symptom review, CA125, and physical examination in the detection of ovarian cancer recurrence to determine the role of virtual surveillance care in the COVID-19 era.
Methods: This retrospective cohort study included patients diagnosed with ovarian cancer between 2013 and 2020 who achieved remission after primary treatment and then had recurrence while in a routine surveillance program. Modalities that detected recurrence including symptoms, CA125, physical examination, or 'other,' which was denoted if imaging was obtained for reasons other than suspected recurrence and recurrence was incidentally identified, were recorded. Descriptive statistics were performed to summarize the cohort.
Results: One hundred and nine patients met inclusion criteria. At time of recurrence, elevated CA125 was present in 97 (89.0%) patients, symptoms in 41 (37.6%), and abnormal physical exam findings in 27 (24.8%). Recurrence was incidentally found with imaging obtained for reasons other than suspicion of recurrence in six (5.5%) patients. Recurrence was suspected based on multiple modalities in 46 (42.2%) patients. Elevated CA125, symptoms, or both were present in 102 (93.6%) patients. Of patients with abnormal physical exam findings, 26 (96.3%) also had elevated CA125 or symptoms present. Recurrence was suspected based on physical exam findings alone in one (0.9%) patient.
Conclusions: Over 90% of ovarian cancer recurrences were detected by rising CA125, symptoms, or both. Only one patient had recurrence detected by physical examination alone. Given that review of symptoms and CA125 can be conducted virtually, virtual visits may offer a reasonable alternative to in-person visits for ovarian cancer surveillance for patients who have pre-treatment elevated CA125.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1136/ijgc-2022-003506 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Repression of PFKFB3 sensitizes ovarian cancer to PARP inhibitors by impairing homologous recombination repair.
Cell Commun Signal
January 2025
Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, 100191, China.
Background: Ovarian cancer (OC), particularly high-grade serous ovarian carcinoma (HGSOC), is the leading cause of mortality from gynecological malignancies worldwide. Despite the initial effectiveness of treatment, acquired resistance to poly(ADP-ribose) polymerase inhibitors (PARPis) represents a major challenge for the clinical management of HGSOC, highlighting the necessity for the development of novel therapeutic strategies. This study investigated the role of 6-phosphofructo-2-kinase/fructose-2,6-bisphosphatase 3 (PFKFB3), a pivotal regulator of glycolysis, in PARPi resistance and explored its potential as a therapeutic target to overcome PARPi resistance.
View Article and Find Full Text PDFReverse-engineering the FLT3-PI3K/AKT axis to enhance TILs function and improve prognosis in ovarian and cervical cancers.
J Ovarian Res
January 2025
Department of Gynecology, Obstetrics and Gynecology Hospital of Fudan University, #128 Shenyang Road, Shanghai, 200090, People's Republic of China.
Background: Ovarian cancers (OC) and cervical cancers (CC) have poor survival rates. Tumor-infiltrating lymphocytes (TILs) play a pivotal role in prognosis, but shared immune mechanisms remain elusive.
Methods: We integrated single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (ST) to explore immune regulation in OC and CC, focusing on the PI3K/AKT pathway and FLT3 as key modulators.
A safe haven for cancer cells: tumor plus stroma control by DYRK1B.
Oncogene
January 2025
Department of Gastroenterology, Endocrinology and Metabolism, Center for Tumor and Immune Biology, Philipps University Marburg, Marburg, Germany.
The development of resistance remains one of the biggest challenges in clinical cancer patient care and it comprises all treatment modalities from chemotherapy to targeted or immune therapy. In solid malignancies, drug resistance is the result of adaptive processes occurring in cancer cells or the surrounding tumor microenvironment (TME). Future therapy attempts will therefore benefit from targeting both, tumor and stroma compartments and drug targets which affect both sides will be highly appreciated.
View Article and Find Full Text PDFPersonality traits of women with hereditary risk for breast/ovarian cancer versus obstetric history and cancer preventive behaviors.
Sci Rep
January 2025
Chair of Obstetrics Development, Faculty of Health Sciences, Medical University of Lublin, Lublin, Poland.
The aim of the study is to analyze the relationship between personality traits of women with hereditary predisposition to breast/ovarian cancer and their obstetric history and cancer-preventive behaviors. A total of 357 women, participants of 'The National Program for Families With Genetic/Familial High Risk for Cancer', were included in the study. The Neo Five-Factor Inventory (NEO-FFI) and a standardized original questionnaire designed for the purpose of the study were used.
View Article and Find Full Text PDFHistopathology and proteomics are synergistic for high-grade serous ovarian cancer platinum response prediction.
NPJ Precis Oncol
January 2025
Eötvös Loránd University, Department of Physics of Complex Systems, Budapest, Hungary.
Patients with High-Grade Serous Ovarian Cancer (HGSOC) exhibit varied responses to treatment, with 20-30% showing de novo resistance to platinum-based chemotherapy. While hematoxylin-eosin (H&E)-stained pathological slides are used for routine diagnosis of cancer type, they may also contain diagnostically useful information about treatment response. Our study demonstrates that combining H&E-stained whole slide images (WSIs) with proteomic signatures using a multimodal deep learning framework significantly improves the prediction of platinum response in both discovery and validation cohorts.
View Article and Find Full Text PDFWant 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!