Genetic Overlap Found for Ovarian Cancer Subtypes and Endometriosis
By LabMedica International staff writers Posted on 22 Mar 2022 |

Endometriosis is a chronic gynecological disease affecting up to 12% of reproductive-age women. The disease is characterized by the presence of endometriotic lesions outside the uterus and is associated with pelvic pain and subfertility.
Ovarian cancer is the deadliest gynecologic cancer. Fewer than 50% of women survive beyond five years after diagnosis due to the rapid development of chemoresistance and the absence of effective early detection strategies. Recent genome-wide association studies (GWASs) have provided strong evidence for a genetic contribution to risk of both endometriosis and epithelial ovarian cancer (EOC).
Molecular Bioscientists at the University of Queensland (Brisbane, Australia) and their colleagues estimated the genetic correlation and evaluate the causal relationship between genetic liability to endometriosis and EOC histotypes, and identify shared susceptibility loci. They started with more than two dozen SNPs linked to endometriosis through a prior genome-wide association study meta-analysis involving hundreds of thousands of endometriosis cases, EOC cases, or unaffected controls. The investigators identified genetic risk loci linked to both endometriosis and several forms of EOC, particularly clear cell ovarian cancer and endometrioid ovarian cancer. Cases from the high-grade serous ovarian cancer subtype, on the other hand, showed more tenuous genetic ties to endometriosis risk.
Nine genes were associated at genome-wide significance with endometriosis (GREB1, MIR4429, KDR, WNT4, SYNE1, CDKN2B-AS1, CDC42, ID4, PTPRO), 67 with high-grade serous ovarian cancer (HGSOC), one with low-grade serous (LGSOC) (KIAA1024), four for low malignant serous (LMPSOC) (TERT, SLC6A18, MIR4457, CLPTM1L), and 27 for mucinous (MOC) in single-trait gene-based analysis. Genome-wide significant genes for endometriosis were nominally significant for clear cell (CCOC) (GREB1, MIR4429, and WNT4), endometrioid (ENOC) (CDNK2B-AS1), and HGSOC (CDNK2B-AS1, MIR4429, and WNT4).
Both endometriosis and clear cell ovarian cancer involved variants on chromosomes 1, 2, 4, 5, 6, 7, 8, 9, 12, and 17, for example, while high-grade serous ovarian cancer risk was associated with several endometriosis risk loci on chromosomes 2, 9, 10, and 18 that did not appear to be linked to risk of clear cell ovarian cancer or endometrioid ovarian cancer histotypes. Of the 28 loci associated with both endometriosis and EOC, for example, the team highlighted 19 sites containing SNPs that were independently linked to both endometriosis and EOC via the same candidate variants.
The investigators incorporated additional chromatin immunoprecipitation sequence, DNA methylation, endometrial cell single-cell RNA sequence, and other data for subsequent analyses looking at everything from the causal variants, genes, and pathways involved to the functional mechanisms that may play a role in tissues and cell types impacted by endometriosis and EOC.
Sally Mortlock, PhD, a Molecular Bioscientist and first author of the study, said, “We found that individuals carrying certain genetic markers that predispose them to having endometriosis also have a higher risk of certain epithelial ovarian cancer subtypes, namely clear cell and endometrioid ovarian cancer.”
The authors concluded that they had found evidence of a strong genetic correlation and causal relationship between endometriosis and two EOC histotypes, CCOC and ENOC, and to a lesser extent with HGSOC. Further investigation into shared genomic regions revealed different genetic variants, genes, and pathways that likely contribute to the causal relationship with the different histotypes. The study was published on March 15, 2022 in the journal Cell Reports Medicine.
Related Links:
University of Queensland
Latest Pathology News
- Spit Test More Accurate at Identifying Future Prostate Cancer Risk
- DNA Nanotechnology Boosts Sensitivity of Test Strips
- Novel UV and Machine Learning-Aided Method Detects Microbial Contamination in Cell Cultures
- New Error-Corrected Method to Help Detect Cancer from Blood Samples Alone
- "Metal Detector" Algorithm Hunts Down Vulnerable Tumors
- Novel Technique Uses ‘Sugar’ Signatures to Identify and Classify Pancreatic Cancer Cell Subtypes
- Advanced Imaging Reveals Mechanisms Causing Autoimmune Disease
- AI Model Effectively Predicts Patient Outcomes in Common Lung Cancer Type
- AI Model Predicts Patient Response to Bladder Cancer Treatment
- New Laser-Based Method to Accelerate Cancer Diagnosis
- New AI Model Predicts Gene Variants’ Effects on Specific Diseases
- Powerful AI Tool Diagnoses Coeliac Disease from Biopsy Images with Over 97% Accuracy
- Pre-Analytical Conditions Influence Cell-Free MicroRNA Stability in Blood Plasma Samples
- 3D Cell Culture System Could Revolutionize Cancer Diagnostics
- Painless Technique Measures Glucose Concentrations in Solution and Tissue Via Sound Waves
- Skin-Based Test to Improve Diagnosis of Rare, Debilitating Neurodegenerative Disease
Channels
Clinical Chemistry
view channel
‘Brilliantly Luminous’ Nanoscale Chemical Tool to Improve Disease Detection
Thousands of commercially available glowing molecules known as fluorophores are commonly used in medical imaging, disease detection, biomarker tagging, and chemical analysis. They are also integral in... Read more
Low-Cost Portable Screening Test to Transform Kidney Disease Detection
Millions of individuals suffer from kidney disease, which often remains undiagnosed until it has reached a critical stage. This silent epidemic not only diminishes the quality of life for those affected... Read more
New Method Uses Pulsed Infrared Light to Find Cancer's 'Fingerprints' In Blood Plasma
Cancer diagnoses have traditionally relied on invasive or time-consuming procedures like tissue biopsies. Now, new research published in ACS Central Science introduces a method that utilizes pulsed infrared... Read moreHematology
view channel
New Scoring System Predicts Risk of Developing Cancer from Common Blood Disorder
Clonal cytopenia of undetermined significance (CCUS) is a blood disorder commonly found in older adults, characterized by mutations in blood cells and a low blood count, but without any obvious cause or... Read more
Non-Invasive Prenatal Test for Fetal RhD Status Demonstrates 100% Accuracy
In the United States, approximately 15% of pregnant individuals are RhD-negative. However, in about 40% of these cases, the fetus is also RhD-negative, making the administration of RhoGAM unnecessary.... Read moreImmunology
view channel
Stem Cell Test Predicts Treatment Outcome for Patients with Platinum-Resistant Ovarian Cancer
Epithelial ovarian cancer frequently responds to chemotherapy initially, but eventually, the tumor develops resistance to the therapy, leading to regrowth. This resistance is partially due to the activation... Read more
Machine Learning-Enabled Blood Test Predicts Immunotherapy Response in Lymphoma Patients
Chimeric antigen receptor (CAR) T-cell therapy has emerged as one of the most promising recent developments in the treatment of blood cancers. However, over half of non-Hodgkin lymphoma (NHL) patients... Read moreMicrobiology
view channel
Handheld Device Delivers Low-Cost TB Results in Less Than One Hour
Tuberculosis (TB) remains the deadliest infectious disease globally, affecting an estimated 10 million people annually. In 2021, about 4.2 million TB cases went undiagnosed or unreported, mainly due to... Read more
New AI-Based Method Improves Diagnosis of Drug-Resistant Infections
Drug-resistant infections, particularly those caused by deadly bacteria like tuberculosis and staphylococcus, are rapidly emerging as a global health emergency. These infections are more difficult to treat,... Read more
Breakthrough Diagnostic Technology Identifies Bacterial Infections with Almost 100% Accuracy within Three Hours
Rapid and precise identification of pathogenic microbes in patient samples is essential for the effective treatment of acute infectious diseases, such as sepsis. The fluorescence in situ hybridization... Read morePathology
view channel
Spit Test More Accurate at Identifying Future Prostate Cancer Risk
Currently, blood tests that measure the level of a protein called prostate-specific antigen (PSA) are commonly used to identify men at higher risk for prostate cancer. This test is typically used based... Read more
DNA Nanotechnology Boosts Sensitivity of Test Strips
Since the Covid-19 pandemic, most people have become familiar with paper-based rapid test strips, also known as lateral flow immunoassays (LFIAs). These tests are used to quickly detect biomarkers that... Read more
Novel UV and Machine Learning-Aided Method Detects Microbial Contamination in Cell Cultures
Cell therapy holds great potential in treating diseases such as cancers, inflammatory conditions, and chronic degenerative disorders by manipulating or replacing cells to restore function or combat disease.... Read moreTechnology
view channel
Disposable Microchip Technology Could Selectively Detect HIV in Whole Blood Samples
As of the end of 2023, approximately 40 million people globally were living with HIV, and around 630,000 individuals died from AIDS-related illnesses that same year. Despite a substantial decline in deaths... Read more
Pain-On-A-Chip Microfluidic Device Determines Types of Chronic Pain from Blood Samples
Chronic pain is a widespread condition that remains difficult to manage, and existing clinical methods for its treatment rely largely on self-reporting, which can be subjective and especially problematic... Read more
Innovative, Label-Free Ratiometric Fluorosensor Enables More Sensitive Viral RNA Detection
Viruses present a major global health risk, as demonstrated by recent pandemics, making early detection and identification essential for preventing new outbreaks. While traditional detection methods are... Read moreIndustry
view channel
Cepheid and Oxford Nanopore Technologies Partner on Advancing Automated Sequencing-Based Solutions
Cepheid (Sunnyvale, CA, USA), a leading molecular diagnostics company, and Oxford Nanopore Technologies (Oxford, UK), the company behind a new generation of sequencing-based molecular analysis technologies,... Read more
Grifols and Tecan’s IBL Collaborate on Advanced Biomarker Panels
Grifols (Barcelona, Spain), one of the world’s leading producers of plasma-derived medicines and innovative diagnostic solutions, is expanding its offer in clinical diagnostics through a strategic partnership... Read more