We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us

Download Mobile App




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. More...

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 


Platinum Member
Automated Coagulation Analyzer
Hemolumi H6
Gold Member
Nucleic Acid Extractor System
NEOS-96 XT
New
Alzheimer's Disease Biomarker Assay
Elecsys Phospho-Tau (217P) Plasma
New
Nucleic Acid Purification Instrument
QIAsymphony Connect
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to LabMedica.com and get access to news and events that shape the world of Clinical Laboratory Medicine.
  • Free digital version edition of LabMedica International sent by email on regular basis
  • Free print version of LabMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of LabMedica International in digital format
  • Free LabMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Microbiology

view channel
Image: Schematic overview of the CRISPR-Assisted Nanodroplet-pairing Platform for Differential Identification of NTM (CANDI). The platform combines broad-range amplification using conserved regions of the 16S and 23S rRNA genes with species-specific CRISPR recognition. Fluorescence-coded CRISPR droplets are paired with sample droplets containing amplified products, enabling multiplexed target recognition and signal decoding (Image Credit: Yiwen Yang, Jingsong Xu, Dakang Xu)

Nanodroplet CRISPR Technology Supports Rapid, Multiplexed Mycobacterial Identification

Mycobacterial infections are difficult to diagnose because closely related species can have different clinical and therapeutic implications. Nontuberculous mycobacteria (NTM) are increasingly recognized... Read more

Technology

view channel
Image: The laser-based photoacoustic spectroscopy setup consists of a Mid-IR laser equipped with three QCL modules covering wavelengths from 5.6 μm to 12.9 μm, two silver coated mirrors (SCM), a dichroic mirror (DM) with a transmittance of 90%, a thermal power sensor head (PM) to monitor the output laser power, a mechanical chopper (MC) for frequency modulation and a CEPAS-detector with a self-designed swab holder (SH). (Credit: Graunke, T., Scholz, T., Pieniak, M. et al. Scientific Reports (2026). https://doi.org/10.1038/s41598-026-68298-9)

Laser-Based Swab Analysis Shows Promise for Detecting Disease-Linked Odor Patterns

Disease-related changes in volatile organic compounds can alter body odor, producing measurable patterns in exhaled breath and bodily fluids. Current analytical methods can be complex, time-consuming,... Read more

Industry

view channel
Image: TruVerus is designed to deliver a broad menu of routine blood tests from a small blood sample on a single, automated benchtop platform (Photo courtesy of Truvian Health)

Collaboration Advances Automated Benchtop Platform for Routine Blood Testing

Routine blood testing is central to clinical decision-making, but access can vary across laboratory and healthcare settings. Broader use of automated benchtop platforms may help integrate testing more... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.