Body Mass Index Is Positively Associated with Endometrial Cancer in Chinese Women, Especially Prior to Menopause

Use of clinical variables for preoperative prediction of lymph node metastasis in endometrial cancer

OBJECTIVE

Endometrial cancer is the most common gynaecological cancer, and most patients are identified during early disease stages. Noninvasive evaluation of lymph node metastasis likely will improve the quality of clinical treatment, for example, by omitting unnecessary lymphadenectomy.

METHODS

The study population comprised 611 patients with endometrial cancer who underwent lymphadenectomy at four types of institutions, comprising seven hospitals in total. We systematically assessed the association of 18 preoperative clinical variables with postoperative lymph node metastasis. We then constructed statistical models for preoperative lymph node metastasis prediction and assessed their performance with a previously proposed system, in which the score was determined by counting the number of high-risk variables among the four predefined ones.

RESULTS

Of the preoperative 18 variables evaluated, 10 were significantly associated with postoperative lymph node metastasis. A logistic regression model achieved an area under the curve of 0.85 in predicting lymph node metastasis; this value is significantly higher than that from the previous system (area under the curve, 0.74). When we set the false-negative rate to ~1%, the new predictive model increased the rate of true negatives to 21%, compared with 6.8% from the previous one. We also provide a spreadsheet-based tool for further evaluation of its ability to predict lymph node metastasis in endometrial cancer.

CONCLUSIONS

Our new lymph node metastasis prediction method, which was based solely on preoperative clinical variables, performed significantly better than the previous method. Although additional evaluation is necessary for its clinical use, our noninvasive system may help improve the clinical treatment of endometrial cancer, complementing minimally invasive sentinel lymph node biopsy.

Aberrant upregulation of CDK1 contributes to medroxyprogesterone acetate (MPA) resistance in cancer-associated fibroblasts of the endometrium

The response to medroxyprogesterone acetate (MPA) decreases as endometrial disease progresses from the benign to malignancy. In a mouse model, progesterone receptor (PR) expression in normal fibroblasts is accountable for the MPA's inhibitory effects in cancer cells. However, it is still unclear, if and how, fibroblasts from human tumors respond to MPA. In this study, three benign-associated fibroblasts (BAFs) and four cancer-associated fibroblasts (CAFs) were isolated from human benign and cancerous endometrial tissues, respectively, to examine MPA activation on PR signaling. PR-B protein expression were heterogeneously expressed in both CAFs and BAFs, despite a lower mRNA expression in the former. In a luciferase reporter assay, MPA treatment stimulated some PR DNA-binding activity in BAFs but not in CAFs. Yet, activation of PR target gene was generally more pronounced in MPA-treated CAFs compared to BAFs. Cyclin-dependent kinase 1 (CDK1) was exclusively upregulated by 10 nM MPA in CAFs (5.1-fold vs. 1.1-fold in BAFs, P < 0.05), leading to a higher CDK1 protein expression. Subsequently in a dose-response study, CAFs showed an average of ∼20% higher cell viability when compared to BAFs, indicative of drug resistance to MPA. MPA resistance was also observed in EC-CAFs co-culture, when MPA-treated cells showed greater tumor spheroid formation than in EC-BAFs co-culture (2-fold, P < 0.01). The increased cell viability observed in CAFs was reversed with mifepristone (RU486), a PR antagonist which suppressed MPA-induced CDK1 expression. This indicates that MPA-induced abnormal upregulation of CDK1 may contribute to the enhanced CAFs cell proliferation, suggesting a new mechanism of MPA resistance within endometrial cancer microenvironment.

Comprehensive Analysis and Experimental Validation of a Novel Estrogen/Progesterone-Related Prognostic Signature for Endometrial Cancer

Estrogen and progesterone are the major determinants of the occurrence and development of endometrial cancer (EC), which is one of the most common gynecological cancers worldwide. Our purpose was to develop a novel estrogen/progesterone-related gene signature to better predict the prognosis of EC and help discover effective therapeutic strategies. We downloaded the clinical and RNA-seq data of 397 EC patients from The Cancer Genome Atlas (TCGA) database. The “limma” R package was used to screen for estrogen/progesterone-related differentially expressed genes (DEGs) between EC and normal tissues. Univariate and multivariate Cox proportional hazards regression analyses were applied to identify these DEGs that were associated with prognosis; then, a novel estrogen/progesterone-related prognostic signature comprising CDC25B, GNG3, ITIH3, PRXL2A and SDHB was established. The Kaplan–Meier (KM) survival analysis showed that the low-risk group identified by this signature had significantly longer overall survival (OS) than the high-risk group; the receiver operating characteristic (ROC) and risk distribution curves suggested this signature was an accurate predictor independent of risk factors. A nomogram incorporating the signature risk score and stage was constructed, and the calibration plot suggested it could accurately predict the survival rate. Compared with normal tissues, tumor tissues had increased mRNA levels of GNG3 and PRXL2A and a reduced mRNA level of ITIH3. The knockdown of PRXL2A and GNG3 significantly inhibited the proliferation and colony formation of Ishikawa and AN3CA cells, while the inhibition of PRXL2A expression suppressed xenograft growth. In this study, five estrogen/progesterone-related genes were identified and incorporated into a novel signature, which provided a new classification tool for improved risk assessment and potential molecular targets for EC therapies.

Canonical TGFβ Signaling and Its Contribution to Endometrial Cancer Development and Progression-Underestimated Target of Anticancer Strategies

Endometrial cancer is one of the leading gynecological cancers diagnosed among women in their menopausal and postmenopausal age. Despite the progress in molecular biology and medicine, no efficient and powerful diagnostic and prognostic marker is dedicated to endometrial carcinogenesis. The canonical TGFβ pathway is a pleiotropic signaling cascade orchestrating a variety of cellular and molecular processes, whose alterations are responsible for carcinogenesis that originates from different tissue types. This review covers the current knowledge concerning the canonical TGFβ pathway (Smad-dependent) induced by prototypical TGFβ isoforms and the involvement of pathway alterations in the development and progression of endometrial neoplastic lesions. Since Smad-dependent signalization governs opposed cellular processes, such as growth arrest, apoptosis, tumor cells growth and differentiation, as well as angiogenesis and metastasis, TGFβ cascade may act both as a tumor suppressor or tumor promoter. However, the final effect of TGFβ signaling on endometrial cancer cells depends on the cancer disease stage. The multifunctional role of the TGFβ pathway indicates the possible utilization of alterations in the TGFβ cascade as a potential target of novel anticancer strategies.

Statistical Meta-Analysis of Risk Factors for Endometrial Cancer and Development of a Risk Prediction Model Using an Artificial Neural Network Algorithm

Simple Summary

A robust and comprehensive meta-analysis, for the first time, identified definitely that BMI is by far the most influential risk factor in endometrial cancer. Risk factors were previously only studied individually and or in smaller meta-analysis studies which grouped some factors together. BMI was shown to be an important risk factor with other factors less so, but no rank order was established. This work also offers, for the first time, a neural network computer model to predict the overall increase or decreased risk of cancer for individual patients, which is 98.6% accurate. This prediction can be used as a tool to determine if a patient should be considered for testing and to predict diagnosis, as well as to suggest prevention measures to patients.

Abstract

Objectives: In this study we wished to determine the rank order of risk factors for endometrial cancer and calculate a pooled risk and percentage risk for each factor using a statistical meta-analysis approach. The next step was to design a neural network computer model to predict the overall increase or decreased risk of cancer for individual patients. This would help to determine whether this prediction could be used as a tool to decide if a patient should be considered for testing and to predict diagnosis, as well as to suggest prevention measures to patients. Design: A meta-analysis of existing data was carried out to calculate relative risk, followed by design and implementation of a risk prediction computational model based on a neural network algorithm. Setting: Meta-analysis data were collated from various settings from around the world. Primary data to test the model were collected from a hospital clinic setting. Participants: Data from 40 patients notes currently suspected of having endometrial cancer and undergoing investigations and treatment were collected to test the software with their cancer diagnosis not revealed to the software developers. Main outcome measures: The forest plots allowed an overall relative risk and percentage risk to be calculated from all the risk data gathered from the studies. A neural network computational model to determine percentage risk for individual patients was developed, implemented, and evaluated. Results: The results show that the greatest percentage increased risk was due to BMI being above 25, with the risk increasing as BMI increases. A BMI of 25 or over gave an increased risk of 2.01%, a BMI of 30 or over gave an increase of 5.24%, and a BMI of 40 or over led to an increase of 6.9%. PCOS was the second highest increased risk at 4.2%. Diabetes, which is incidentally also linked to an increased BMI, gave a significant increased risk along with null parity and noncontinuous HRT of 1.54%, 1.2%, and 0.56% respectively. Decreased risk due to contraception was greatest with IUD (intrauterine device) and IUPD (intrauterine progesterone device) at −1.34% compared to −0.9% with oral. Continuous HRT at −0.75% and parity at −0.9% also decreased the risk. Using open-source patient data to test our computational model to determine risk, our results showed that the model is 98.6% accurate with an algorithm sensitivity 75% on average. Conclusions: In this study, we successfully determined the rank order of risk factors for endometrial cancer and calculated a pooled risk and risk percentage for each factor using a statistical meta-analysis approach. Then, using a computer neural network model system, we were able to model the overall increase or decreased risk of cancer and predict the cancer diagnosis for particular patients to an accuracy of over 98%. The neural network model developed in this study was shown to be a potentially useful tool in determining the percentage risk and predicting the possibility of a given patient developing endometrial cancer. As such, it could be a useful tool for clinicians to use in conjunction with other biomarkers in determining which patients warrant further preventative interventions to avert progressing to endometrial cancer. This result would allow for a reduction in the number of unnecessary invasive tests on patients. The model may also be used to suggest interventions to decrease the risk for a particular patient. The sensitivity of the model limits it at this stage due to the small percentage of positive cases in the datasets; however, since this model utilizes a neural network machine learning algorithm, it can be further improved by providing the system with more and larger datasets to allow further refinement of the neural network.

Obesity increases endometrial cancer risk in Chinese women with postmenopausal bleeding

OBJECTIVE

We examined the relationship between body mass index (BMI) at referral and subsequent diagnosis of endometrial cancer in a cohort of Chinese women presenting with postmenopausal bleeding, to determine whether BMI of 25 kg/m2 would serve to delineate women at increased risk of endometrial cancer.

METHODS

This cohort included 4,164 Chinese women referred for postmenopausal bleeding from 2002 to 2013. For all women, a medical history was taken, and physical examination, BMI measurement, transvaginal pelvic ultrasonography, and endometrial sampling were performed. Additional investigations were performed as indicated clinically. The presence of risk factors for endometrial cancer and histological diagnoses were compared among groups defined by the standard Asian BMI cut-off values.

RESULTS

Within the cohort, 868 (20.8%) were overweight (BMI 23-24.9 kg/m2) and 1,611 (38.7%) were obese (BMI ≥25 kg/m2), and 162 (3.9%) had endometrial cancer. The prevalence of endometrial cancer correlated with BMI category (P < 0.001). On multivariate analysis, BMI ≥25 kg/m2 was independently associated with 1.57 times risk of endometrial cancer (95% CI 1.13-2.20, P = 0.008) compared with BMI less than 25 kg/m2.

CONCLUSION

When managing postmenopausal bleeding in Chinese women, the Asian BMI standard for obesity at 25 kg/m2 identified 51% of endometrial cancers in this group and denoted a 57% increased risk of endometrial cancer. Thus obesity could be used to triage women presenting with postmenopausal bleeding for prioritized investigations.

Risk of female-specific cancers according to obesity and menopausal status in 2•7 million Korean women: Similar trends between Korean and Western women

BACKGROUND

Studies examining the relationship between obesity and female-specific cancers have been mainly conducted in Western populations. We aimed to investigate the risk of female-specific cancers according to obesity and menopausal status using a nationwide cohort in Korea.

METHODS

We identified 2,708,938 women from the National Health Insurance Service cohort, and obtained baseline body mass index (BMI), waist circumference (WC), and other healthcare data, measured and collected during a health examinations and cancer-screening survey. By setting a normal weight/WC group (BMI, 18•5-22•9 kg/m2 or WC, 80•0-84•9 cm) as the reference, we conducted multivariate analyses using the Cox proportional hazard model to estimate adjusted hazard ratios (aHRs) and 95% confidence intervals (95% CIs) for each cancer.

FINDINGS

The total follow-up duration was 22389854•63 person-years. In post-menopausal women, the risk of breast, endometrial, and ovarian cancers significantly increased as the BMI classification level increased from normal to class II obesity (aHRs [95% CIs], 1•49 [1•38-1.61], 2•11 [1•81-2•46], and 1•38 [1•20-1•58], respectively). The risk of breast and endometrial cancers also increased as the WC classification increased from < 75•0 to ≥ 95•0 cm. With a WC of 80•0-84•9 cm as the reference, the lowest risk of breast and endometrial cancers was observed in WC < 75•0 cm (aHRs [95% CIs], 0•85 [0•81-0•89] and 0•75 [0•67-0•84], respectively) while the highest risk was observed in WC ≥ 95•0 cm (aHRs [95% CIs], 1•19 [1•10-1•29] and 1•56 [1•33-1•82], respectively). In pre-menopausal women, the risk of breast cancer significantly decreased in those with class I and II obesity compared to those with normal BMI (aHRs [95% CIs], 0•96 [0•92-0•999] and 0•89 [0•81-0•97], respectively), whereas the trends of endometrial and ovarian cancer incidence in pre-menopausal women were similar to those observed in post-menopausal women. For cervical cancer, only class II obesity was significantly associated with increased risks in both post-menopausal and pre-menopausal women (aHRs [95% CIs], 1•18 [1•01-1•39] and 1•27 [1•02-1•57], respectively).

INTERPRETATION

In this large population-based cohort study in Korean women, we observed that the impact of obesity on the development of female-specific cancers differs according to the malignancy type and menopausal status. Similar trends were observed between Korean and Western women.

FUNDING

The Korea Health Industry Development Institute (no. HI16C2037).

Comprehensive Analysis of ESRRA in Endometrial Cancer

BACKGROUND

Estrogen-related receptor alpha (ESRRA) was reported to play an important role in multiple biological processes of neoplastic diseases. The roles of ESRRA in endometrial cancer have not been fully investigated yet.

METHODS

Expression data and clinicopathological data of patients with uteri corpus endometrial carcinoma (UCEC) were obtained from The Cancer Genome Atlas (TCGA). Comprehensive bioinformatics analysis was performed, including receiver operating characteristics (ROC) curve analysis, Kaplan-Meier survival analysis, gene ontology (GO) enrichment analysis, and Gene Set Enrichment Analysis (GSEA). Immunohistochemistry was used to detect the protein expression level of ESRRA and CCK-8 assay was performed to evaluate the effect of ESRRA on the proliferation ability.

RESULTS

A total of 552 UCEC tissues and 35 normal tissues were obtained from the TCGA database. The mRNA and protein expression level of ESRRA was highly elevated in UCEC compared with normal tissues, and was closely associated with poor prognosis. ROC analysis indicated a very high diagnostic value of ESRRA for patients with UCEC. GO and GSEA functional analysis showed that ESRRA might be mainly involved in cellular metabolism processes, in turn, tumorigenesis and progression of UCEC. Knockdown of ESRRA inhibited the proliferation of UCEC cells in vitro. Further immune cell infiltration demonstrated that ESRRA enhanced the infiltration level of neutrophil cell and reduced that of T cell (CD4+ naïve), NK cell, and cancer associated fibroblast (CAF). The alteration of immune microenvironment will greatly help in developing immune checkpoint therapy for UCEC.

CONCLUSIONS

Our study comprehensively analyzed the expression level, clinical value, and possible mechanisms of action of ESRRA in UCEC. These findings showed that ESRRA might be a potential diagnostic and therapeutic target.

Betaglycan Gene (TGFBR3) Polymorphism Is Associated with Increased Risk of Endometrial Cancer

We investigated single nucleotide polymorphism (SNP) of the betaglycan gene (TGFBR3) encoding the TGFβ co-receptor in endometrial cancer (EC) and its association with betaglycan expression. The study group included 153 women diagnosed with EC and 248 cancer-free controls. SNP genotyping and gene expression were analyzed using TaqMan probes. Three out of the eight SNPs tested, i.e., rs12566180 (CT; OR = 2.22; 95% CI = 1.15-4.30; p = 0.0177), rs6680463 (GC; OR = 2.34; 95% CI = 1.20-4.53; p = 0.0120) and rs2296621 (TT; OR = 6.40; 95% CI = 1.18-34.84; p = 0.0317) were found to be significantly associated with increased risk of EC (adjusted to age, body mass index, menarche and parity). Among the analyzed SNPs, only rs2296621 demonstrated the impact on the increased cancer aggressiveness evaluated by the WHO grading system (G3 vs. G1/2, GT-OR = 4.04; 95% CI = 1.56-10.51; p = 0.0026; T-OR = 2.38; 95% CI = 1.16-4.85; p = 0.0151). Linkage disequilibrium (LD) analysis revealed high LD (r2 ≥ 0.8) in two haploblocks, constructed by rs2770186/rs12141128 and rs12566180/rs6680463, respectively. In the case of C/C haplotype (OR = 4.82; 95% CI = 1.54-15.07; p = 0.0116-Bonferroni corrected) and T/G haplotype (OR = 3.25; 95% CI = 1.29-8.15; p = 0.0328-Bonferroni corrected) in haploblock rs12566180/rs6680463, significantly higher frequency was observed in patients with EC as compared to the control group. The genotype-phenotype studies showed that SNPs of the TGFBR3 gene associated with an increased risk of EC, i.e., rs12566180 and rs2296621 may affect betaglycan expression at the transcriptomic level (rs12566180-CC vs. TT, p < 0.01; rs2296621-GG vs. TT, p < 0.001, GT vs. TT, p < 0.05). Functional consequences of evaluated TGFBR3 gene SNPs were supported by RegulomeDB search. In conclusion, polymorphism of the TGFBR3 gene may be associated with an increased EC occurrence, as well as may be the molecular mechanism responsible for observed betaglycan down-regulation in EC patients.

Systematic Analysis of the Clinical Relevance of Cell Division Cycle Associated Family in Endometrial Carcinoma

Background: Endometrial carcinoma (EC) is the most common cancer of female reproductive system, thus requiring for new effective biomarkers which could predict the onset of EC and worse prognosis. Cell Division Cycle Associated (CDCA) family plays indispensable roles in cell cycle process. However, no study has been focused on the role of CDCAs in EC. Our study aims to investigate the clinical relevance, potential biologic functions and molecular mechanisms of CDCAs in EC. Methods: GEPIA, cBioPortal, GeneMANIA, Networkanalyst, TCGA-UCEC cohort were utilized in this study. Results: NUF2 and CDCA2/3/4/5/7/8 were significantly highly expressed in EC compared with normal tissues. The patients with high NUF2 and CDCA2/3/4/5/8 expression tended to develop to advanced FIGO stages, poor differentiation and worse prognosis(in both OS and RFS analyses) than those with low expression. By contrast, elevated CDCA7 was significantly associated with better prognosis. CBX2 exerted no significant prognostic impact on EC patients. Distinct patterns of the genetic alterations of CDCAs were observed in various histological subtypes of EC. The biological functions of NUF2 and CDCA2/3/4/5/8 were mainly related with the activation of the following pathway: cell cycle, DNA replication, base excision repair, mismatch repair, nucleotide excision repair, cellular senescence and p53 signaling pathway. Conclusions: Our study provides new insight into the onset and progression of EC and proposes NUF2 and CDCA2/3/4/5/8 could act as oncogenes and have shown great diagnostic and prognostic promise in improving EC patient detection and survival prediction with accuracy.

Risk factors for endometrial carcinoma among postmenopausal women in Sri Lanka: a case control study

Background

Endometrial carcinoma burden is on the rise globally. The objective of this study was to determine the risk factors for endometrial carcinoma among postmenopausal women in Western province in Sri Lanka.

Methods

A case control study was conducted recruiting 83 incident cases of endometrial carcinoma and 332 unmatched hospital controls from all the secondary and tertiary care hospitals in the province using consecutive sampling technique. A case was defined as a postmenopausal woman who had been residing in the province for at least a period of 1 year, diagnosed to have endometrial carcinoma with histological confirmation within 3 months of the initiation of data collection of the study. Data were collected using validated interviewer administered questionnaire. Risk factor were identified through multiple logistic regression and results were expressed as adjusted odds ratios (AOR) and 95% confidence intervals (CI).

Results

The independent risk factors of endometrial carcinoma are having family history of any type of cancer among first degree relative (AOR = 12.6; 95% CI:5.14–30.9), generalized obesity (BMI ≥25 kg/m²) (AOR = 11.85; 95% CI:5.12–27.4), never conceived (AOR = 3.84; 95% CI:1.37–10.7), age at menarche ≤11 years (AOR = 4.07; 95% CI:1.16–14.2), age > 55 years (AOR = 4.69; 95% CI:2.16–10.2), monthly family income of ≤20,000 Rupees (AOR = 2.65; 95% CI:1.31–5.39), sub-optimal consumption of deep fried food (AOR = 0.17; 95% CI:0.06–0.46), and low level household activities (AOR = 2.82; 95% CI:1.34–5.92).

Conclusions

There were eight independent risk factors of endometrial carcinoma specific for Sri Lankan postmenopausal women identified. Some modifiable risk factors such as generalized obesity, sub-optimal dietary practices and low level physical activities need to be addressed at primary prevention level.

Gene expression changes and promoter methylation with the combined effects of estradiol and leptin in uterine tissue of the ovariectomized mice model of menopause

Substantial epidemiological studies have shown an association of obesity with the common gynecological malignancy, endometrial cancer. The relevant interactions and contribution of estradiol and the adipose cytokine, leptin, in endometrial lesions are not completely understood. Suitable animal models to understand the physiological response of uterine tissue to the combined effects of estradiol-leptin are lacking. To investigate the effect of estradiol-leptin crosstalk on gene expression and associated altered pathways, we established an ovariectomized mouse model, treated with 17-β estradiol (0.1 µg/mouse subcutaenously., for every 12 h) and/or recombinant mouse leptin (1 μg/g Bwt intraperitoneally., for every 12 h) for 4 h, 20 h, and 40 h. Gene expressions by semi-quantitative RT-PCR, uterine tissue protein phosphorylation status by western blotting and promoter methylation were analyzed in estradiol, progesterone insufficient animals. Semi-quantitative RT-PCR demonstrated significantly increased expression of Esr, Igf1, Igfbp3, Vegfr1, and Vegf, and significantly decreased expression of Mmp9 after co-treatment with estradiol and leptin, indicating a common transcriptional network regulated by the treatments. Ovariectomy-induced histomorphological changes were only reversed by estradiol. Methylation-specific PCR, analyzing methylation of CpG sites of Vegfa, Pgr, and Igf1, revealed that transcriptional regulation after hormonal treatments is independent of methylation at the examined CpG sites. Western blot confirmed the increased expression of PSTAT-3 (Ser-727) and PERK1/2 proteins after estradiol + leptin treatment, confirming the estradiol + leptin cross-talk hypothesis. In conclusion, our in vivo studies determined specific gene expression and signaling protein changes, and further unraveled the molecular targets of estradiol + leptin that may perturb endometrial homeostasis and lead to endometrial hyperplasia development in the chronic stimulated state.

Perceived risk of colorectal and breast cancers among women who are overweight or with obesity

Many overweight women or women with obesity do not acknowledge their high weight status and may be unaware of their elevated cancer risk. We explored the relationship between weight status and women's perceived risk of colorectal (CRC) and breast cancers, overall and by race/ethnicity, in a nationally representative sample.

Data was combined from NHIS 2005, 2010, and 2015 sample adult questionnaires and cancer control supplements. The analytic sample included females aged 18 years and over without reported history of cancer diagnosis. Multivariable logistic regression was performed and adjusted estimates for perceived risk of CRC and breast cancers were examined, stratified by body mass index and race/ethnicity. Data were reported using predicted marginal risk ratio (PMR).

Colorectal cancer risk perception remained lowest among Non-Hispanic (NH) Black women regardless of weight status (PMR = 0.53 obesity, 0.65 overweight, 0.55 normal) compared to NH White women after adjustment for all covariates. Hispanic women who were overweight or had obesity also saw themselves at lower risk of CRC compared to NH White women, however these findings were statistically insignificant. Breast cancer risk perception also remained low for NH Blacks and Hispanics at any weight compared with NH Whites.

Greater effort is needed to develop, disseminate, and widely adopt or institutionalize multilevel weight management interventions and programs. These programs increase awareness of excess weight as a risk factor for cancer and empower women in diverse communities to achieve and maintain a healthy weight by adopting healthy behaviors related to nutrition and physical activity.

Phagocytosis of Extracellular Vesicles Extruded From the Placenta by Ovarian Cancer Cells Inhibits Growth of the Cancer Cells

OBJECTIVE

Ovarian cancer is a common gynecological cancer, and parity is negatively associated with the incidence of this disease. This negative association is hypothesized to be due in part to shifting the balance of estrogen and progesterone toward more progesterone and reduced ovulation during pregnancy. However, studies suggested that parity is also associated with estrogen-independent gynecological cancers suggesting balance of hormones may not be the only protective factor. Extracellular vesicles (EVs) play an important role in cell-to-cell communication in physiological and pathological conditions. During pregnancy, large amounts of EVs are extruded from the placenta, and they seem to be involved in the remarkable adaptation of a woman's body to normal pregnancy. We hypothesized that EVs extruded from the placenta play a role in this protective effect.

METHODS

Placental EVs were collected from first-trimester placentae, and cancer cell EVs were isolated from ovarian cancer cells. The EVs were exposed to ovarian cancer cells for 48 hours. The proliferation of cancer cells and the cell cycle were measured. In addition, phagocytosis of deported placental EVs by cancer cells was also measured.

RESULTS

The proliferation of cancer cells was significantly reduced by treatment with placental EVs (P = 0.001, analysis of variance), but not EVs from monocytes (P = 0.195), compared with untreated cancer cells. Furthermore, placental EVs also prevented the proliferation of cancer cells induced by cancer cell-derived EVs (P = 0.001). This inhibition of proliferation of ovarian cancer cells was partially due to phagocytosis of placental EVs by cancer cells. Phagocytosis of placental EVs delayed progression through the cell cycle. Calreticulin, a phagocytic "eat me" signal carried by placental EVs significantly inhibited ovarian cancer growth (P = 0.001).

CONCLUSIONS

Our data demonstrated that EVs extruded from the placenta prevented ovarian cancer cell growth by a mechanism that involved delaying progression of the cell cycle after phagocytosis of the EVs.

Clinicopathologic features of endometrial cancer in Chinese patients younger than 50 years with a family history of cancer

Genetic factors play an important role in shaping the biologic characteristics of malignant tumors, especially in young patients. We aimed to determine the clinicopathologic features of endometrial cancer (EC) in patients younger than 50 years with a family history of cancer.Overall, 229 patients with EC, including 40 with a positive family history of cancer (PFH) and 189 with a negative family history of cancer (NFH), were enrolled in this case-control study. The family history of cancer in a 2-generation pedigree was recorded for the PFH group. Clinicopathologic features such as menarche age, body mass index, personal cancer history, grade, and histologic type were compared between the 2 groups. Mismatch repair (MMR) proteins including MLH1, PMS2, MSH2, and MSH6 were assessed by immunohistochemistry (IHC) in surgical samples. Univariate (Pearson Chi-squared test, Fisher exact test, T test, Wilcoxon rank sum test, logistic regression) statistics and stepwise multivariate logistic regression were used to identify factors associated with PFH in the analysis.Among young patients with EC, the PFH group had younger age-of-onset age of endometrial cancer (≤40 years) (odds ratio [OR] = 2.21, 95% confidence interval [95% CI]: 1.01-4.82) than the NFH group. The proportion of overweight/obese patients was high in both the NFH (58.7%) and PFH (80%) groups. Colorectal, lung, endometrial, breast, and hepatocellular carcinoma accounted for 58.6% of all cancer types among 1st- and 2nd-degree relatives. Additionally, 19.2% of patients displayed deficiency in at least 1 MMR protein, with a significantly higher proportion of MMR protein deficiency in the PFH group than in the NFH group (adjusted OR = 4.81, 95% CI: 2.14-8.83).Clinicopathologic features differ for young patients with EC with and without a family history of cancer. Surveillance of age-of-onset and family history of endometrial cancer, reduction of barriers to healthy lifestyles, and development of risk-appropriate Lynch syndrome screening tools, such as IHC, are needed for these women in Shanghai and other developing cities in China.

Diagnostic Performance of Serum Human Epididymis Protein 4 in Endometrial Carcinoma: A Pilot Study

INTRODUCTION

Endometrial Cancer (EC) is a common female malignant disorder. To date, there are no specific tumour markers for EC that may be routinely used in clinical practice for diagnosis.

AIM

To evaluate the diagnostic performance of the serum Human Epididymis protein 4 (HE4) as biomarker for EC and to determine its association with clinicopathological variables.

MATERIALS AND METHODS

The study population included 60 postmenopausal women with a diagnosis of EC and 60 healthy postmenopausal female subjects (control group). Concentrations of serum HE4 and CA-125 in EC patients and control group were determined using Enzyme-Linked Immunosorbent Assays (ELISA). The value of serum HE4 and CA-125 for the diagnosis and prediction of stage, histology, myometrial invasion and lymph nodal metastasis was analysed.

RESULTS

The mean serum HE4 and CA-125 levels were significantly higher in patients with EC than those with control group (p<0.05). Comparison for HE4 and CA-125 between different stages showed a statistically significant difference. Stage I EC patients with <50% myometrial invasion had a significantly lower mean serum HE4 value than patients with >50% myometrial invasion (p=0.007). Corresponding values of CA-125 showed a similar trend (p=0.023). There were significantly higher levels of HE4 and CA-125 in cases with lymph node involvement. The levels of serum HE4 and CA-125 were higher in the non-endometroid histology, but the difference was not statistically significant. The Receiver Operating Characteristics (ROC) curve analysis for EC and control group showed that HE4 had greater Area Under Curve (AUC) when compared with CA-125. Using ROC curve, a serum HE4 concentration of 69.8 pmol/l (AUC 0.974) and/or serum CA-125 level of 34.50 U/mL (AUC 0.714) was used to predict malignancy. Sensitivity of combined biomarkers showed no additional improvement in comparison to HE4 or CA-125 alone.

CONCLUSION

Our results show that HE4 is a sensitive diagnostic serum marker for detection of EC patients, exhibiting a better diagnostic performance compared to CA-125. Good performance of HE4 in diagnosis of early stages EC indicates its usefulness as a prognostic marker and also to monitor therapy and detect early recurrence.

Total PC Activity Is Increased in Uterine Lavage of Post-Menopausal Endometrial but Not Ovarian Cancer Patients

Endometrial and ovarian cancers are two most common cancers affecting women in their post-menopausal years. To date, there are no simple biochemical tests to detect these cancers at early stages. Our previous study has demonstrated that the activity of total proprotein convertases (PCs) is significantly increased in uterine lavage at all stages of endometrial cancer, suggesting uterine lavage which can be obtained relatively non-invasively may provide a simple tool for the detection of endometrial cancer. However, uterine lavage may also contain ovarian-derived factors, and PCs are also reported to be up-regulated in ovarian cancer. In this study we determined whether increases in uterine lavage PC activity are specific to endometrial cancer or are also associated with ovarian cancer. PC activity was detected in all uterine lavages examined but no difference was found between women with and without ovarian cancer. On the other hand, the PC activity was significantly higher in post-menopausal endometrial cancer patients, consistent with our previous report. These results suggest that measuring total PC activity in uterine lavage is a useful tool to detect endometrial cancer specifically.