Early Detection Of Endometrial Cancer Research Articles

MicroRNA Expression in Endometrial Cancer: Current Knowledge and Therapeutic Implications.

Background and Objectives: An extracellular vesicle is part of a class of submicron particles derived from cells, mediating cellular crosstalk through microRNA (miRNA). MiRNA is a group of RNA molecules, each of which consists of 15-22 nucleotides and post-transcriptionally modulates gene expression. The complementary mRNAs-onto which the miRNAs hybridize-are involved in processes such as implantation, tumor suppression, proliferation, angiogenesis, and metastasis that define the entire tumor microenvironment. The endometrial biopsy is a standard technique used to recognize cellular atypia, but other non-invasive markers may reduce patient discomfort during the use of invasive methods. The present study aims to examine the distribution and the regulation of the differentially expressed miRNAs (DEMs) and EV-derived substances in women with endometrial cancer. Materials and Methods: We systematically searched the PubMed, EMBASE, Scopus, Cochrane Library, and ScienceDirect databases in April 2023, adopted the string "Endometrial Neoplasms AND Exosomes", and followed the recommendations in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. We selected all the studies that included patients with endometrial cancer and that described the regulation of miRNA molecules in that context. The differences in molecule expression between patients and controls were evaluated as significant when the proteins had a fold change of ±1.5. Results: Seventeen records fulfilled the inclusion criteria: a total of 371 patients and 273 controls were analyzed. The upregulated molecules that had the widest delta between endometrial cancer patients and controls-relative expression ≥ 1 > 3 log2(ratio)-were miR-20b-5p, miR-204-5p, miR-15a-5p, and miR-320a. In particular, miR-20b-5p and miR-204-5p were extracted from both serum and endometrial specimens, whereas miR-15a-5p was only isolated from plasma, and miR-320a was only extracted from the endometrial specimens. In parallel, the most downregulated miRNA in the endometrial cancer patients compared to the healthy subjects was miR-320a, which was found in the endometrial specimens. Conclusions: Although their epigenetic regulation remains unknown, these upregulated molecules derived from EVs are feasible markers for the early detection of endometrial cancer. The modulation of these miRNA molecules should be assessed during different treatments or if recurrence develops in response to a targeted treatment modality.

Abstract IA005: New directions in prevention and early detection of endometrial cancers

Abstract Most endometrial cancers and precursor lesions are preceded by postmenopausal bleeding (PMB), offering a window of opportunity for early detection and improved survival. Clinical guidelines recommend prompt evaluation of PMB to rule out endometrial cancer. Current diagnostic approaches including transvaginal ultrasound and endometrial biopsy are invasive and can be associated with discomfort and procedural pain, and we have shown that recommendations may not be consistent with underlying risk of endometrial cancer. Access to these procedures may be challenging for patients who live in rural areas or who experience other barriers to care. Current strategies may also have limited accuracy for detecting non-endometrioid cancers which are clinically aggressive, more common in Black women, and increasing in incidence and mortality in the U.S. Black women experience significant racial disparities in endometrial cancer survival and are more likely to experience diagnostic delays compared to their White counterparts. Because of the anatomical continuity of the lower genital tract, we and others have demonstrated the feasibility of pairing molecular assays with minimally invasive self-sampling approaches, such as vaginal tampons, for the detection of tumor DNA. In a recent study led by our colleagues at the Mayo Clinic, we identified over 28 methylation markers that were tested in self-collected tampon samples that showed good clinical performance for endometrial cancer detection. Such approaches can mitigate cancer disparities by offering an at-home early detection strategy to increase coverage and expand access to care. To date, few endometrial cancer studies have been conducted within diverse clinical populations. To address this gap, we designed the Discovery and Evaluation of Tests for Endometrial Cancer in Tampons (DETECT) study. DETECT is a case control study that includes patients undergoing hysterectomy for endometrial cancer and benign conditions at the University of Alabama at Birmingham (UAB). DETECT has enrolled over 700 patients to date, including over 360 with endometrial cancer (approximately 30% with non-endometrioid tumors). In this study, we collect extensive questionnaire data including information about symptoms, and novel risk factors such as feminine hygiene and hair product use. We obtain clinical information on diagnostic procedures, surgery, and treatment information from electronic medical records, and collect tampon, tissue, and blood samples from enrolled patients. In preliminary analyses, over two-thirds of participants self-collected a vaginal tampon sample, with collection varying by race (57% in Black vs. 76% in White patients). Next steps include pilot testing to compare the performance of biomarkers (somatic mutations and methylation markers) measured from tampon samples to tissue for endometrial cancer detection. Future goals of DETECT include the evaluation of endometrial cancer risk factors, biomarkers, outcomes, and disparities across the cancer continuum. Citation Format: Megan A. Clarke. New directions in prevention and early detection of endometrial cancers [abstract]. In: Proceedings of the AACR Special Conference on Endometrial Cancer: Transforming Care through Science; 2023 Nov 16-18; Boston, Massachusetts. Philadelphia (PA): AACR; Clin Cancer Res 2024;30(5_Suppl):Abstract nr IA005.

Surface-enhanced Raman spectroscopy in women with benign and malignant endometrial diseases

Background. This study aimed to enhance early detection of endometrial cancer in women and distinguish benign conditions from endometrial cancer using surface-enhanced Raman scattering (SERS) analysis of blood plasma, thus increasing diagnostic efficacy.
 Materials and methods. The study of blood plasma from 95 female patients aged 22–79 years was performed. The patients were divided into four groups: group 1 included 29 women with endometrial adenocarcinoma, group 2 included 31 patients with endometrial polyp, group 3 included 10 women with endometrial hyperplasia, and the comparison group consisted of 25 healthy women. Blood plasma was analyzed via SERS, with three Raman spectra recorded per sample. Spectral measurements of the SERS substrate were assessed using dried samples on an experimental bench equipped with the spectrometric system RL785 (LLC “Foton-Bio”, Russia), incorporating a CCD detector, laser radiation source with a wavelength of 785 nm, and ADF U300 microscope (ADF, China). A silver substrate composed of dried silver colloid was used to demonstrate the enhancement effect on the Raman signal from the surface of the blood plasma.
 Results. Spectral and specific features that distinguish adenocarcinoma, polyps, and endometrial hyperplasia were identified and evaluated. Spectral and quantitative differences specific to each condition, which are crucial for the differential diagnosis of pathologic tissues, were also identified. The accuracy rates of the optical diagnostics in distinguishing endometrial adenocarcinoma from the control group and endometrial hyperplasia were 87% and 85%, respectively, for the calibration and verification spectral sets (where the sensitivity and specificity were 66% and 92% for the spectral verification set, respectively). The accuracy rates of distinguishing control from endometrial hyperplasia and endometrial adenocarcinoma were 86% and 85%, respectively, and the accuracy of distinguishing endometrial hyperplasia from control and endometrial adenocarcinoma was 81% for the calibration and verification sets of spectra. In addition, the study demonstrated improved accuracy in differentiating adenocarcinoma from hyperplasia, including polyps. The accuracy rate was 93% in the calibration set of spectra, with sensitivity and specificity of 96% and 90%, whereas in the validation set, it was 91%, with sensitivity and specificity of 93% and 88%, respectively.
 Conclusions. The study demonstrated the potential use of SERS for differentiating expression patterns in endometrial cancer from those in benign conditions.

Serum CA125 and HE4 as Biomarkers for the Detection of Endometrial Cancer and Associated High-Risk Features.

Early detection of endometrial cancer improves survival. Non-invasive diagnostic biomarkers would improve triage of symptomatic women for investigations. This study aimed to determine the diagnostic accuracy of serum Cancer Antigen 125 (CA125) and Human Epididymis 4 (HE4) for endometrial cancer and associated high-risk features. Serum samples from women investigated for gynaecological symptoms or diagnosed with endometrial cancer were analysed for CA125 and HE4. Conventional diagnostic metrics were calculated. In total, 755 women were included; 397 had endometrial cancer. Serum CA125 and HE4 were significantly elevated in cases compared with controls (both p < 0.001), and with pathological markers of disease severity (p < 0.05). A combination of CA125 and HE4 detected endometrial cancer with an area under the curve (AUC) of 0.77 (95% CI: 0.74-0.81). In a model with body mass index (BMI) and parity, HE4 predicted endometrial cancer in pre-menopausal women with an AUC of 0.91 [sensitivity = 84.5%, specificity = 80.9% (p < 0.001)]. In women with abnormal ultrasound, HE4 ≥ 77 pmol/L improved specificity compared with imaging alone [68.6% (95% CI: 75.0-83.6) vs. 34.4% (95% CI: 27.1-42.3), respectively], but at a cost to sensitivity. HE4 ≥ 77 pmol/L improved the detection of myometrial invasion ≥50% in women with stage I disease compared with magnetic resonance imaging (MRI) alone [sensitivity = 100% (95% CI: 54.1-100)]. CA125 ≥ 35 U/mL did not add to imaging. HE4 is a good predictor of poor prognostic features which could assist staging investigations.

Cancer-associated gene analysis of cervical cytology samples and liquid-based cytology significantly improve endometrial cancer diagnosis sensitivity.

To the best of our knowledge, there are no useful screening methods for early detection of endometrial cancer in asymptomatic individuals. The present study evaluated the usefulness of genetic analysis of liquid-based cytology (LBC) specimens by assessing whether pathological genetic mutations detected in cancer tissue sections were detected in LBC specimens from the cervix and uterus. The primary endpoint was genetic analysis of cervical cytology specimens and LBC for the detection of endometrial cancer. Endometrial thickening (>11 mm) assessed using transvaginal ultrasonography was present in 60% of cases and adenocarcinoma assessed using cervical cytology was present in 50% of cases. In 70% of cases, pathogenic mutations detected in cancer tissue sections were also detected in cervical and/or endometrial LBC specimens. The pathogenic variants identified were PTEN in four cases, tumor protein P53, PI3K catalytic subunit α and fibroblast growth factor receptor 2 in two cases each and APC regulator of WNT signaling pathway, KRAS and catenin β1 in one case each. In the present study, a combination of endometrial thickening assessed by transvaginal ultrasonography, cervical cytology and genetic analysis resulted in a high sensitivity of 90% for detection of endometrial cancer. The combination of these tests is more expensive than conventional methods, but delayed detection of uterine cancer requires multidisciplinary treatment, which increases healthcare costs. Increased spending on early detection of uterine cancer is better economically and may improve patient quality of life.

Histopathologic diagnosis of endometrial precancers: Updates and future directions.

Early detection of endometrial cancer, especially its precancers, remains a critical and evolving issue in patient management and the quest to decrease mortality due to endometrial cancer. Due to many factors such as specimen fragmentation, the confounding influence of endogenous or exogenous hormones, and variable or overlapping histologic features, identification of bona fide endometrial precancers and their reliable discrimination from benign mimics remains one of the most challenging areas in diagnostic pathology. At the same time, the diagnosis of endometrial precancer, or the presence of suspicious but subdiagnostic features in an endometrial biopsy, can lead to long clinical follow-up with multiple patient visits and serial endometrial sampling, emphasizing the need for accurate diagnosis. Our understanding of endometrial precancers and their diagnosis has improved due to systematic investigations into morphologic criteria, the molecular genetics of endometrial cancer and their precursors, the validation of novel biomarkers and their use in panels, and more recent methods such digital image analysis. Although precancers for both endometrioid and non-endometrioid carcinomas will be reviewed, emphasis will be placed on the former. We review these advances and their relevance to the histopathologic diagnosis of endometrial precancers, and the recently updated 2020 World Health Organization (WHO) Classification of Female Genital Tumors.

Hypermethylated PCDHGB7 as a Biomarker for Early Detection of Endometrial Cancer in Endometrial Brush Samples and Cervical Scrapings.

Endometrial cancer (EC) is one of the most common gynecologic cancers in developed countries. Presently, it is imperative to develop a reliable, noninvasive, or minimally invasive detection method for EC. We explored the possibility of using DNA methylation marker from endometrial brush samples (with a “Tao brush”) and cervical scrapes (with a “Pap brush”) for early detection of EC. We analyzed the methylation data of EC and normal endometrial tissues from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) data sets. An optimized methylation-sensitive restriction enzyme combined with real-time fluorescent quantitative PCR (MSRE-qPCR) was used for methylation detection. Included in the training set were 143 endometrial tissues, 103 Tao, and 109 Pap brush samples. The validation set included 110 Tao and 112 Pap brush samples. PCDHGB7 was significantly hypermethylated in EC compared with normal endometrial tissues in the TCGA and GEO data sets (AUC >0.95), which was verified in clinical samples. In the Pap brush samples, the AUC was 0.86 with 80.65% sensitivity and 82.81% specificity, whereas the Tao brush samples exhibited higher specificity (95.31%). The combination of Tao and Pap brush samples significantly increased the sensitivity to 90.32%. In the validation set, the final model yielded a sensitivity of 98.61%, specificity of 60.53%, positive predictive value of 82.56%, and negative predictive value of 95.83%. These results demonstrate the potential application of the novel methylation marker, hypermethylated PCDHGB7, in cervical scrapings and endometrial brush, which provides a viable, noninvasive, or minimally invasive method for early endometrial cancer detection across different clinical features and histologies to supplement current hysteroscopy diagnosis.

The effect of myometrial invasion and histological grade on lymph node metastasis in patient with early stage endometrium cancer

Aim: Early detection of endometrial cancer is important for the prognosis of the disease. In our study, the effect of myometrial invasion and histological grade on lymph node metastasis was investigated in patient with early stage endometrium cancer .
 Material and Method: A total of 249 patients from the last 10 years who underwent systemic lymphadenectomy for staging in our hospital were retrospectively examined. The pathologies of these patients were limited to the uterine corpus. The effect of histological grade of tumor and myometrial invasion on lymph node metastasis was evaluated statistically.
 Results: The average lymph node collected from patients was 27.7 (11-78). Lymph node metastasis was detected in 4.1% of patients with histological grade 1-2 and

Modern Methods of Early Detection of Endometrial Cancer on the Example of “Pipelle” Urogenital Probe

Today, at a time when cancer is developing rapidly, a number of scientific studies are being conducted worldwide in the field of early detection, prevention and treatment of the disease. A number of new methods are being recommended by experts to put into practice, which is convenient, effective, rapid, uncomplicated and painless methods of early detection of tumor diseases especially uterine cancer in women.

Risk of Endometrial Cancer and Frequencies of Invasive Endometrial Procedures in Young Breast Cancer Survivors Treated With Tamoxifen: A Nationwide Study.

BackgroundAlthough the guidelines recommend gynecological assessment and close monitoring for symptoms of endometrial cancer in postmenopausal breast cancer survivors taking tamoxifen (TAM), the risk of endometrial cancer in young breast cancer survivors has not yet been fully assessed. This study aimed to investigate the risk of developing endometrial cancer and the frequencies of gynecological examinations in young breast cancer survivors taking TAM in South Korea.MethodsA nationwide retrospective cohort study was conducted using the Health Insurance Review and Assessment Service claims data. Kaplan–Meier analyses and log-rank tests were used to assess the probability of endometrial cancer, benign endometrial conditions, and the probability of invasive endometrial procedure. To analyze the risk of endometrial cancer and benign endometrial conditions, we used a multivariable Cox proportional hazards regression model.ResultsBetween 2010 and 2015, 60,545 newly diagnosed female breast cancer survivors were included. The total person–years were 256,099 and 140 (0.23%) patients developed endometrial cancer during the study period. In breast cancer survivors aged ≥60 years [hazard ratio (HR), 5.037; 95% confidence interval (CI), 2.185–11.613], 50–59 years (HR, 4.343; 95% CI, 2.122–8.891), and 40–49 years (HR, 2.121; 95% CI, 1.068–4.213), TAM was associated with an increased risk of endometrial cancer. In subjects aged below 40 years, TAM did not significantly increase the risk of endometrial cancer. However, among the TAM subgroups, breast cancer survivors aged below 40 years [1.61 per 1,000 person–years (PY); HR, 12.460; 95% CI, 2.698–57.522] and aged 40–49 years (2.22 per 1,000 PY; HR, 9.667; 95% CI, 4.966–18.819) with TAM-related endometrial diseases showed significantly increased risks of endometrial cancer. Among the TAM subgroup with benign endometrial conditions, the ratios of the frequency of invasive diagnostic procedures to the incidence of endometrial cancer were higher in subjects under 40 than subjects aged 60 or more.ConclusionYoung breast cancer survivors with TAM-related benign endometrial diseases are at a higher risk of developing endometrial cancer. Gynecological surveillance should be tailored to the risk of endometrial cancer in young breast cancer survivors to improve the early detection of endometrial cancer and avoid unnecessary invasive procedures.

Metabolomic Biomarkers for the Detection of Obesity-Driven Endometrial Cancer.

Simple SummaryEndometrial cancer is the commonest cancer of the female genital tract and obesity is its main modifiable risk factor. Over 80% of endometrial cancers develop in the context of obesity-induced metabolic changes. This study focuses on the potential of plasma-based metabolites to enable the early detection of endometrial cancer in a cohort of women with body mass index (BMI) ≥ 30 kg/m2. Specific lipid metabolites including phospholipids and sphingolipids (sphingomyelins) demonstrated good accuracy for the detection of endometrial cancer, especially when combined in a diagnostic model. This study advances our knowledge of the role of metabolomics in endometrial cancer and provides a basis for the minimally invasive screening of women with elevated BMI.Endometrial cancer is the most common malignancy of the female genital tract and a major cause of morbidity and mortality in women. Early detection is key to ensuring good outcomes but a lack of minimally invasive screening tools is a significant barrier. Most endometrial cancers are obesity-driven and develop in the context of severe metabolomic dysfunction. Blood-derived metabolites may therefore provide clinically relevant biomarkers for endometrial cancer detection. In this study, we analysed plasma samples of women with body mass index (BMI) ≥ 30 kg/m2 and endometrioid endometrial cancer (cases, n = 67) or histologically normal endometrium (controls, n = 69), using a mass spectrometry-based metabolomics approach. Eighty percent of the samples were randomly selected to serve as a training set and the remaining 20% were used to qualify test performance. Robust predictive models (AUC > 0.9) for endometrial cancer detection based on artificial intelligence algorithms were developed and validated. Phospholipids were of significance as biomarkers of endometrial cancer, with sphingolipids (sphingomyelins) discriminatory in post-menopausal women. An algorithm combining the top ten performing metabolites showed 92.6% prediction accuracy (AUC of 0.95) for endometrial cancer detection. These results suggest that a simple blood test could enable the early detection of endometrial cancer and provide the basis for a minimally invasive screening tool for women with a BMI ≥ 30 kg/m2.

Cancer-associated mutations in normal human endometrium: Surprise or expected?

The human endometrium is an essential component in human reproduction that has the unique characteristic of undergoing cyclic regeneration during each menstrual cycle. Vigorous regeneration after shedding may be sustained by stem/progenitor cells, for which molecular markers have not been fully identified. Although clonality analysis using X chromosome inactivation patterns has shown that normal human endometrial glands are composed of a monoclonal cell population, whether clonal expansion is derived from stem/progenitor cells remains unclear. Remarkable advances in next‐generation sequencing technology over the past decade have enabled somatic mutations to be detected in not only cancers, but also normal solid tissues. Unexpectedly frequent cancer‐associated mutations have been detected in a variety of normal tissues, and recent studies have clarified the mutational landscape of normal human endometrium. In epithelial glandular cells, representative cancer‐associated mutations are frequently observed in an age‐dependent manner, presumably leading to growth advantage. However, the extremely high mutation loads attributed to DNA mismatch repair deficiency and POLE mutations, as well as structural and copy number alterations, are specific to endometrial cancer, not to normal epithelial cells. The malignant conversion of normal epithelial cells requires these additional genetic hits, which are presumably accumulated during aging, and may therefore be a rare life event. These discoveries could be expected to shed light on the physiology and pathogenesis of the human endometrium and urge caution against the application of genetic screening for the early detection of endometrial cancer.

Detecting Endometrial Cancer by Blood Spectroscopy: A Diagnostic Cross-Sectional Study.

Endometrial cancer is the sixth most common cancer in women, with a rising incidence worldwide. Current approaches for the diagnosis and screening of endometrial cancer are invasive, expensive or of moderate diagnostic accuracy, limiting their clinical utility. There is a need for cost-effective and minimally invasive approaches to facilitate the early detection and timely management of endometrial cancer. We analysed blood plasma samples in a cross-sectional diagnostic accuracy study of women with endometrial cancer (n = 342), its precursor lesion atypical hyperplasia (n = 68) and healthy controls (n = 242, total n = 652) using attenuated total reflection-Fourier transform infrared (ATR-FTIR) spectroscopy and machine learning algorithms. We show that blood-based infrared spectroscopy has the potential to detect endometrial cancer with 87% sensitivity and 78% specificity. Its accuracy is highest for Type I endometrial cancer, the most common subtype, and for atypical hyperplasia, with sensitivities of 91% and 100%, and specificities of 81% and 88%, respectively. Our large-cohort study shows that a simple blood test could enable the early detection of endometrial cancer of all stages in symptomatic women and provide the basis of a screening tool in high-risk groups. Such a test has the potential not only to differentially diagnose endometrial cancer but also to detect its precursor lesion atypical hyperplasia—the early recognition of which may allow fertility sparing management and cancer prevention.

Detecting Endometrial Cancer by Blood Spectroscopy: A Diagnostic Cross-Sectional Study

Background: Endometrial cancer is the sixth most common cancer in women with a rising incidence worldwide. Current approaches for the diagnosis and screening of endometrial cancer are invasive, expensive and of moderate diagnostic accuracy, limiting their clinical utility. There is a need for cost-effective and minimally invasive biomarkers to facilitate the early detection and timely management of endometrial cancer. Methods: We analysed blood plasma samples in a cross-sectional diagnostic accuracy study of women with endometrial cancer(n=342), its precursor lesion atypical hyperplasia(n=68) and healthy controls(n=242, total n=652) using attenuated total reflection-Fourier transform infrared(ATR-FTIR) spectroscopy and machine learning algorithms. Findings : We show that blood-based infrared spectroscopy has the potential to detect endometrial cancer with 87% sensitivity and 78% specificity. Its accuracy is highest for type I endometrial cancer, the most common subtype, and for atypical hyperplasia, with sensitivities of 91% and 100%, and specificities of 81% and 88%, respectively. Interpretation: Our large-cohort study shows that a simple blood test could enable the early detection of endometrial cancer of all stages in symptomatic women and provide the basis of a screening tool in high-risk groups. Such a test will not only differentially diagnose endometrial cancer but also detect its precursor lesion atypical hyperplasia, the early recognition of which may allow fertility-sparing management and cancer prevention. Funding Statement: The authors were supported by the Rosemere Cancer Foundation, CAPES–Brazil, Wellcome Trust, Wellbeing of Women, MRC, NIHR and the Department of Health. The views expressed are those of the authors and not necessarily of the funders. Declaration of Interests: The authors declare no potential conflicts of interest. Ethics Approval Statement: All women gave written, informed consent to participate and donated their clinical data and blood samples for future research. Ethical approval was obtained as follows: Weight loss study (North West Research Ethics Committee ref. 12/NW/0050), PROTEC study (Cambridge East Research Ethics Committee ref. 15/EE/0063), PREMIUM study (North West Research Ethics Committee ref. 14/NW/1236), Metformin study (North West Research Ethics Committee ref. 11/NW/0442), PETALS study (NRES Committee North West – Lancaster ref. 15/NW/0733), DETECT study (North West Research Ethics Committee - Greater Manchester 16/NW/0660), and East of England – Cambridge Central Research Ethics Committee ref. 16/EE/0010.

Molecular Classification and Emerging Targeted Therapy in Endometrial Cancer.

Recent advances in molecular studies, especially genome-wide analyses, have revealed the landscape of genomic alterations present in endometrial carcinomas, and have provided valuable insight into the pathogenesis of this disease. The current challenges are in developing a molecular-morphologic classification system to enhance traditional pathologic diagnosis and in determining the optimal approach to using this new information to guide clinical management. Molecular assays may be particularly beneficial in allowing the earlier detection of endometrial cancer or precursor lesions and in guiding personalized treatment approaches. In this review, we describe the current molecular landscape of endometrial cancers, efforts underway to incorporate molecular alterations into the current classification systems, and the development of diagnostic tools for the early detection of endometrial cancer. Finally, we present opportunities for using these data to tailor therapeutic strategies. A comprehensive understanding of the molecular alterations responsible for the origination, relapse, and resistance patterns of this disease will ultimately improve outcomes for patients with endometrial cancer.

Biomarker panel for early detection of endometrial cancer in the Prostate, Lung, Colorectal, and Ovarian cancer screening trial

Endometrial cancer is the most common gynecological cancer in the United States. However, no early detection test exists for asymptomatic women at average risk for endometrial cancer. We sought to identify early detection biomarkers for endometrial cancer using prediagnostic serum. We performed a nested case-control study of postmenopausal women in the Prostate, Lung, Colorectal, and Ovarian cancer screening trial (n= 78,216), including 112 incident endometrial cancer cases and 112 controls. Prediagnostic serum was immunodepleted of high-abundance proteins and digested with sequencing grade porcine trypsin via pressure cycling technology. Quantitative proteomics and phosphoproteomics was performed using high-resolution liquid chromatography-tandem mass spectrometry and highly multiplexed isobaric mass tag combined with basic reversed-phase liquid chromatography. A set of proteins able to predict cancer status was identified with an integrated score assessed by receiver-operator curve analysis. Mean time from blood draw to endometrial cancer diagnosis was 3.5 years (SD, 1.9 years). There were 47 differentially abundant proteins between cases and controls (P < .05). Protein alterations with high predictive potential were selected by regression analysis and compiled into an aggregate score to determine the ability to predict endometrial cancer. An integrated risk score of 6 proteins was directly related to disease incidence in cases with blood draw ≤2 years, >2 years to ≤5 years or >5 years prior to cancer diagnosis. The integrated score distinguished cases from controls with an area under the curve of 0.80 (95% confidence interval, 0.72-0.88). An integrated score of 6 proteins using prediagnostic serum from the Prostate, Lung, Colorectal, and Ovarian cancer screening trial distinguishes postmenopausal endometrial cancer cases from controls. Validation is needed to evaluate whether this test can improve prediction or detection of endometrial cancer among postmenopausal women.

New perspectives on screening and early detection of endometrial cancer.

Due to the anatomical continuity of the uterine cavity with the cervix, genomic exploitation of material from routine Pap smears and other noninvasive sampling methods represent a unique opportunity to detect signs of disease using biological material shed from the upper genital tract. Recent research findings offer a promising perspective in the detection of endometrial cancer, but certain questions need to be addressed in order to accelerate the implementation of novel technologies in a routine screening or clinical setting. We discuss here new perspectives on detection of endometrial cancer using genomic and other biomarkers in minimally invasive sampling methods with a special focus on public health classic screening criteria, highlighting current gaps in knowledge.

Combining methylation markers, genomic instability, and next generation sequencing as a panel for endometrial cancer detection via intravaginal tampon collection

Objectives: We aimed to develop and evaluate a molecular panel for the early detection of endometrial cancer (EC) from intravaginal tampons by methylation markers, genomic instability, and next generation sequencing (NGS).

Biomarker panel for early detection of endometrial cancer in the prostate, lung, colorectal, and ovarian cancer screening trial

Objective: No early detection test exists for asymptomatic women at average risk for endometrial cancer. We sought to identify early detection biomarkers for endometrial cancer using prediagnostic serum.

Opportunities for Early Detection of Endometrial Cancer in Women With Postmenopausal Bleeding

Opportunities for Early Detection of Endometrial Cancer in Women With Postmenopausal Bleeding