Abstract 1179P
Background
Endometrial cancer (EC) is the first most common gynecological cancer. Abnormal uterine bleeding is the main symptom to initiate the multistep EC diagnostic process. Final diagnosis relies on the observation of tumor cells in a pipelle biopsy specimen, but this fails to diagnose up to 30% of patients leading to further invasive tests. In this study, we used the liquid fraction of pipelle biopsies -the uterine fluid- to develop an EC diagnostic test.
Methods
EC diagnostic biomarkers were discovered and verified in four independent clinical case-control retrospective cohorts including 291 patients. Targeted mass spectrometry was used for protein analysis and statistical analysis permitted to develop 2 and 3-protein panels using logistic regression models. Out of the most accurate biomarkers, six proteins were validated in uterine fluids from an independent case-control retrospective cohort of 250 patients using commercial immunoassays (ELISAs). For 6 selected biomarkers, recombinant antigen and monoclonal antibodies were developed using the HybriFree technology and Octet analysis.
Results
Among 106 proteins studied by mass spectrometry in uterine fluids from 291 patients, 58 proteins had significant EC diagnostic potential. Among those, a 3-protein panel permitted to detect EC patients with a negative predictive value of 97% (99% sensitivity, 79% specificity). We validate the diagnostic potential of 6 biomarkers in uterine fluids from 250 patients (120 EC, 130 non-EC), using a widely available immunoassay technique (adj.p-value<0.05, fold-change>2, AUC>0.70). A pair of high affinity recombinant antibodies were selected for 6 biomarkers and currently clinically relevant immunoassays are being developed.
Conclusions
This study validates the diagnostic potential of protein biomarkers to detect EC using uterine fluids. Based on these results, we are currently developing WomEC, a diagnsotic test that measures 3 biomarkers in uterine fluids to aid in the diagnosis of EC in women presenting with abnormal uterine bleeding.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
Group of Biomedical Research in Gynecology, Vall Hebron Institute of Research.
Funding
MiMARK Diagnostics SL.
Disclosure
A. Gil-Moreno: Financial Interests, Personal and Institutional, Other, Inventor on a patent protecting the results derived from this study: VHIR; Financial Interests, Personal and Institutional, Stocks/Shares, MiMARK Diagnostics, S.L (which licensed the patents related to this study): MiMARK Diagnostics SL. J. Carvajal, A. Garcia, M. Marti, M. Cedo: Financial Interests, Institutional, Full or part-time Employment: MiMARK Diagnostics SL. E. Coll de la Rubia: Financial Interests, Personal and Institutional, Full or part-time Employment: MiMARK Diagnostics SL. M. Rigau: Financial Interests, Institutional, Stocks/Shares, MiMARK Diagnostics, S.L (which licensed the patents related to this study): MiMARK Diagnostics SL. E. Martinez, I. Campoy: Financial Interests, Personal and Institutional, Inventor on a patent protecting the results derived from this study: VHIR. E. Colas: Financial Interests, Personal and Institutional, Other, Inventor on a patent protecting the results derived from this study: VHIR; Financial Interests, Personal and Institutional, Stocks/Shares, MiMARK Diagnostics, S.L (which licensed the patents related to this study): MiMARK Diagnostics SL; Financial Interests, Personal and Institutional, Full or part-time Employment: MiMARK Diagnostics SL. All other authors have declared no conflicts of interest.
Resources from the same session
1192P - Optimizing lung cancer screening: Independent verification of an AI/ML computer-aided detection and characterization software as medical device
Presenter: Sylvain Bodard
Session: Poster session 09
1194P - Development of a novel artificial intelligence (AI) algorithm to detect pulmonary nodules on chest radiography
Presenter: Mitsunori Higuchi
Session: Poster session 09
1195P - Whole-body magnetic resonance imaging (WB-MRI) screening in Li Fraumeni syndrome for early cancer diagnosis: The SIGNIFIED project
Presenter: Elena Cojocaru
Session: Poster session 09
1196P - Organoid growth-based oncological sensitivity test (OncoSensi) for predicting adjuvant therapy outcomes in ovarian cancer patients
Presenter: Dong Woo Lee
Session: Poster session 09
1197P - Ex vivo basket study reports patient-specific sensitivity to carboplatin versus cisplatin in lung, ovarian and bladder cancer
Presenter: Debbie Robbrecht
Session: Poster session 09
1198P - Analytical validation of an NGS panel-based ecDNA detection device for use as a clinical trial assay for the POTENTIATE clinical study of the novel CHK1 inhibitor, BBI-355
Presenter: Pontis Julien
Session: Poster session 09