Human Epididymis Protein 4 (HE4) and Cancer Antigen 125 (CA125) for Prediction of Optimal Primary Surgery in Non-Mucinous Epithelial Ovarian Cancer.

OBJECTIVE: To determine the relationship between pre-operative HE4 and CA125 levels in non-mucinous epithelial ovarian cancer cases (EOC) and outcomes of primary surgery for prediction of optimal surgery. METHODS: A retrospective study was performed on non-mucinous EOC who underwent primary surgery at King Chulalongkorn Memorial Hospital from 2016 to 2020. Demographic and clinical characters were collected. Histopathology and pre-operative tumor markers namely HE4 and CA125 were also recruited. Primary surgical outcomes were classified as optimal (OS) and suboptimal surgery (SS). RESULTS: One hundred and seventy patients were enrolled in the study. There were 130 and 40 cases in OS and SS, respectively. Average age and body mass index (BMI) of EOC were 54.2 years old and 23.1 Kg/m2, respectively. Both groups had comparable demographic characteristics. Two-thirds (103/170) and one-third (63/170) had early stage and clear cell histopathology, respectively. The median level of HE4 were 118.60 and 603.45 pmol/L in OS and SS, respectively. OS and SS had average CA125 at 146.95 and 814.70 U/L, respectively. The best cut-off point of HE4 and CA125 less than 170.95 pmol/L and 316.4 U/mL gave predicting OS with area under curve (AUC) at 0.78 and 0.75, respectively. HE4 and CA125 cut-off point had sensitivity, specificity, positive predict value (PPV) and negative predictive value (NPV) at percentage of 60.8/60.8, 87.5/82.5, 94.1/91.9 and 40.7/39.3, respectively. CONCLUSION: HE4 and CA125 of non-mucinous EOC among OS had significantly less than SS and could be the predicting of optimal surgery.

[Delivery of epididymis-specific mRNAs from mouse epididymosomes into N2a and TM4 cells].

OBJECTIVE: To investigate whether mouse epididymis-specific mRNAs Adam7 and Crisp1 can be delivered into N2a and TM4 cells, and to provide an experimental basis for exploring the function of epididymal mRNAs. METHODS: Using RT-PCR, we detected the presence of epididymis-specific genes (Adam7, Crisp1, Defb22, Wfdc2, and Wfdc9) in the testis, epididymis, epididymosome and sperm of adult male BALB/c mice as well as in the human testis, seminal vesicles and sperm. We isolated epididymosomes of BALB/c mice by low-speed centrifugation, filtration and ultracentrifugation, fluorescently labeled them by PKH26, co-incubated them for 1 hour with the N2a and TM4 cells after 24 hours of starvation culture, and observed whether they were fused with the N2a and TM4 cells and ingested using the epididymosomes without PKH26 labeling, PKH26 dye without epididymosomes, and non- epididymosome or -PKH26 dye as controls. Then we detected the epididymis-specific genes in the N2a and TM4 cells after 1-hour co-incubation by RT-PCR. RESULTS: Adam7 and Crisp1 were present in the mouse epididymis, epididymosomes and sperm, and in the human seminal vesicles and sperm as well, but not in the testes of either the mice or men. PKH26 and Hoechst33258 fluorescence double-labeling showed that the mouse epididymosomes were fused with the N2a and TM4 cells and ingested; RT-PCR revealed the mRNAs of Adam7 and Crisp1 in the N2a and TM4 cells after 1-hour co-incubation; and Western blot exhibited the CRISP1 protein in the N2a and TM4 cells incubated with epididymosomes. CONCLUSION: Epididymosomes can deliver epididymis-specific mRNAs Adam7 and Crisp1 into N2a and TM4 cells, where Crisp1 may be translated into proteins, though their function and significance need to be further studied.

Analysis of potential biomarkers for diabetic kidney disease based on single-cell RNA-sequencing integrated with a single-cell sequencing assay for transposase-accessible chromatin.

Diabetic kidney disease (DKD) is a renal microvascular disease caused by hyperglycemia that involves metabolic remodeling, oxidative stress, inflammation, and other factors. The mechanism is complex and not fully unraveled. We performed an integrated single-cell sequencing assay for transposase-accessible chromatin (scATAC-seq) and single-cell RNA-sequencing (scRNA-seq) analyses of kidneys from db/db and db/m mice to identify differential open chromatin regions and gene expression, particularly in genes related to proximal tubular reabsorption and secretion. We identified 9,776 differentially expressed genes (DEGs) and 884 cell type-specific transcription factors (TFs) across 15 cell types. Glucose and lipid transporters, and TFs related to the circadian rhythm in the proximal tubules had significantly higher expression in db/db mice than in db/m mice (P<0.01). Crosstalk between podocytes and tubular cells in the proximal tubules was enhanced, and renal inflammation, oxidative stress, and fibrosis pathways were activated in db/db mice. Western blotting and immunohistochemical staining results showed that Wfdc2 expression in the urine and kidneys of DKD patients was higher than that in non-diabetic kidney disease (NDKD) controls. The revealed landscape of chromatin accessibility and transcriptional profiles in db/db mice provide insights into the pathological mechanism of DKD.

The First Transcriptomic Atlas of the Adult Lacrimal Gland Reveals Epithelial Complexity and Identifies Novel Progenitor Cells in Mice.

The lacrimal gland (LG) secretes aqueous tears. Previous studies have provided insights into the cell lineage relationships during tissue morphogenesis. However, little is known about the cell types composing the adult LG and their progenitors. Using scRNAseq, we established the first comprehensive cell atlas of the adult mouse LG to investigate the cell hierarchy, its secretory repertoire, and the sex differences. Our analysis uncovered the complexity of the stromal landscape. Epithelium subclustering revealed myoepithelial cells, acinar subsets, and two novel acinar subpopulations: Tfrchi and Car6hi cells. The ductal compartment contained Wfdc2+ multilayered ducts and an Ltf+ cluster formed by luminal and intercalated duct cells. Kit+ progenitors were identified as: Krt14+ basal ductal cells, Aldh1a1+ cells of Ltf+ ducts, and Sox10+ cells of the Car6hi acinar and Ltf+ epithelial clusters. Lineage tracing experiments revealed that the Sox10+ adult populations contribute to the myoepithelial, acinar, and ductal lineages. Using scRNAseq data, we found that the postnatally developing LG epithelium harbored key features of putative adult progenitors. Finally, we showed that acinar cells produce most of the sex-biased lipocalins and secretoglobins detected in mouse tears. Our study provides a wealth of new data on LG maintenance and identifies the cellular origin of sex-biased tear components.

Clinical value of serum and tissue AGR2 for diagnosis and prognosis in epithelial ovarian cancer.

Purpose: To clarify the value of AGR2 for diagnosis and prognosis in epithelial ovarian cancer (EOC). Methods: Serum AGR2 from 203 subjects were detected by ELISA, while CA125 and HE4 were determined by enhanced chemiluminescence immunoassay. The diagnostic efficacy was assessed using receiver operating characteristic curves. Tissue microarray was employed to compare tissue AGR2. Results: Combined detection of AGR2, CA125 and HE4 improved the diagnostic specificity in the discrimination of EOC from healthy controls. Serum AGR2 was significantly higher, while CA125 and HE4 were significantly lower in EOC patients post-operatively. Low AGR2 expression may predict poorer prognosis. Conclusion: Incorporation of AGR2 improved the specificity of CA125 and HE4 in EOC diagnosis, and may act as a tumor suppressor whose low expression in EOC patients predicted poorer outcomes.

Ovarian Cancer Biomarkers in the COVID-19 Era.

Ovarian Cancer (OC) diagnosis is entrusted to CA125 and HE4. Since the latter has been found increased in COVID-19 patients, in this study, we aimed to evaluate the influence of SARS-CoV-2 infection on OC biomarkers. HE4 values above the cut-off were observed in 65% of OC patients and in 48% of SARS-CoV-2-positive patients (not oncologic patients), whereas CA125 values above the cut-off were observed in 71% of OC patients and in 11% of SARS-CoV-2 patients. Hence, by dividing the HE4 levels into quartiles, we can state that altered levels of HE4 in COVID-19 patients were mostly detectable in quartile I (151-300 pmol/L), while altered levels in OC patients were mostly clustered in quartile III (>600, pmol/L). In light of these observations, in order to better discriminate women with ovarian cancer versus those with COVID-19, we established a possible HE4 cut-off of 328 pmol/L by means of a ROC curve. These results demonstrate that the reliability of HE4 as a biomarker in ovarian cancer remains unchanged, despite COVID-19 interference; moreover, it is important for a proper diagnosis that whether the patient has a recent history of SARS-CoV-2 infection is determined.

Mass Spectrometry-Based Proteomics of Epithelial Ovarian Cancers: A Clinical Perspective.

Increasing proteomic studies focused on epithelial ovarian cancer (EOC) have attempted to identify early disease biomarkers, establish molecular stratification, and discover novel druggable targets. Here we review these recent studies from a clinical perspective. Multiple blood proteins have been used clinically as diagnostic markers. The ROMA test integrates CA125 and HE4, while the OVA1 and OVA2 tests analyze multiple proteins identified by proteomics. Targeted proteomics has been widely used to identify and validate potential diagnostic biomarkers in EOCs, but none has yet been approved for clinical adoption. Discovery of proteomic characterization of bulk EOC tissue specimens has uncovered a large number of dysregulated proteins, proposed new stratification schemes, and revealed novel targets of therapeutic potential. A major hurdle facing clinical translation of these stratification schemes based on bulk proteomic profiling is intra-tumor heterogeneity, namely that single tumor specimens may harbor molecular features of multiple subtypes. We reviewed over 2500 interventional clinical trials of ovarian cancers since 1990 and cataloged 22 types of interventions adopted in these trials. Among 1418 clinical trials which have been completed or are not recruiting new patients, about 50% investigated chemotherapies. Thirty-seven clinical trials are at phase 3 or 4, of which 12 focus on PARP, 10 on VEGFR, 9 on conventional anti-cancer agents, and the remaining on sex hormones, MEK1/2, PD-L1, ERBB, and FRα. Although none of the foregoing therapeutic targets were discovered by proteomics, newer targets discovered by proteomics, including HSP90 and cancer/testis antigens, are being tested also in clinical trials. To accelerate the translation of proteomic findings to clinical practice, future studies need to be designed and executed to the stringent standards of practice-changing clinical trials. We anticipate that the rapidly evolving technology of spatial and single-cell proteomics will deconvolute the intra-tumor heterogeneity of EOCs, further facilitating their precise stratification and superior treatment outcomes.

Secreted proteins MDK, WFDC2, and CXCL14 as candidate biomarkers for early diagnosis of lung adenocarcinoma.

BACKGROUND: Early diagnosis of lung adenocarcinoma (LUAD), one of the most common types of lung cancer, is very important to improve the prognosis of patients. The current methods can't meet the requirements of early diagnosis. There is a pressing need to identify novel diagnostic biomarkers. Secretory proteins are the richest source for biomarker research. This study aimed to identify candidate secretory protein biomarkers for early diagnosis of LUAD by integrated bioinformatics analysis and clinical validation. METHODS: Differentially expressed genes (DEGs) of GSE31210, gene expression data of early stage of LUAD, were analyzed by GEO2R. Upregulated DEGs predicted to encode secreted proteins were obtained by taking the intersection of the DEGs list with the list of genes encoding secreted proteins predicted by the majority decision-based method (MDSEC). The expressions of the identified secreted proteins in the lung tissues of early-stage LUAD patients were further compared with the healthy control group in mRNA and protein levels by using the UALCAN database (TCGA and CPTAC). The selected proteins expressed in plasma were further validated by using Luminex technology. The diagnostic value of the screened proteins was evaluated by receiver operating characteristic (ROC) analysis. Cell counting kit-8 assay was carried out to investigate the proliferative effects of these screened proteins. RESULTS: A total of 2183 DEGs, including 1240 downregulated genes and 943 upregulated genes, were identified in the GSE31210. Of the upregulated genes, 199 genes were predicted to encode secreted proteins. After analysis using the UALCAN database, 16 molecules were selected for further clinical validation. Plasma concentrations of three proteins, Midkine (MDK), WAP four-disulfide core domain 2 (WFDC2), and C-X-C motif chemokine ligand 14 (CXCL14), were significantly higher in LUAD patients than in healthy donors. The area under the curve values was 0.944, 0.881, and 0.809 for MDK, WFDC2, and CXCL14, 0.962 when combined them. Overexpression of the three proteins enhanced the proliferation activity of A549 cells. CONCLUSIONS: MDK, WFDC2, and CXCL14 were identified as candidate diagnostic biomarkers for early-stage LUAD and might also play vital roles in tumorigenesis.

A Multiple-Array SPRi Biosensor as a Tool for Detection of Gynecological-Oncological Diseases.

Diagnostics based on the determination of biomarkers in body fluids will be more successful when several biomarkers are determined. A multiple-array SPRi biosensor for the simultaneous determination of CA125, HE4, CEA, IL-6 and aromatase has been developed. Five individual biosensors were placed on the same chip. Each of them consisted of a suitable antibody covalently immobilized onto a gold chip surface via a cysteamine linker by means of the NHS/EDC protocol. The biosensor for IL-6 works in the pg mL-1 range, that for CA125 in the µg mL-1 range, and the other three within the ng mL-1 range; these are ranges suitable for the determination of biomarkers in real samples. The results obtained with the multiple-array biosensor are very similar to those obtained with a single biosensor. The applicability of the multiple biosensor was demonstrated using several examples of plasma from patients suffering from ovarian cancer and endometrial cyst. The average precision was 3.4% for the determination of CA125, 3.5% for HE4, 5.0% for CEA and IL-6, and 7.6% for aromatase. The simultaneous determination of several biomarkers may be an excellent tool for the screening of the population for earlier detection of diseases.

Evaluation of HE4 as a prognostic biomarker in uterine cervical cancer.

INTRODUCTION: Uterine cervical cancer (UCC) is the fourth most common health problem worldwide among women. Currently available biomarkers CA125, CA199, and CEA for diagnosis or prognostic evaluation of UCC have not got widespread acceptance. METHOD: Whole blood samples of 64 patients with UCC were collected along with 63 healthy females and tested for serum levels of HE4 (sHE4). A cut-off value for positive result 64.0 pmol/L was set. Statistical analysis of different clinical variables was done. RESULT: Serum level of HE4 has a significant role in the diagnosis of uterine cervical cancer. Its level increases with age, higher parity (P < 0.05), stage (P < 0.16), tumor size, and parametrial invasion. Negative result was seen with vaginal invasion, lymph node involvement & cases which had recurrence. Various histological types showed variable results. So the serum level of HE4 (sHE) level may play a role in the diagnosis & therapeutic monitoring of UCC. But the prognostic evaluation needs further studies. CONCLUSION: sHE4 is useful in the diagnosis of cervical cancer, but its prognostic significance is under the question marks. It may be associated with higher values in higher stages. Higher parity of the patient is associated with higher level of HE4 in UCC.

Value of the risk of ovarian malignancy algorithm index in predicting the recurrence of epithelial ovarian cancer.

Aim: This study aimed to assess the predictive and diagnostic value of the risk of ovarian malignancy algorithm (ROMA) index for epithelial ovarian cancer (EOC) recurrence. Materials & methods: The clinical features and follow-up data of 159 EOC cases were studied. The ROMA index was calculated by serum CA125 and HE4 levels with menopausal status. Recurrence-free survival was evaluated for an end point. Results: The ROMA was strongly associated with clinical characteristics. The ROMA index above the cutoff value (34.71%) was significantly associated with recurrence-free survival. The ROMA index had a significantly higher sensitivity (90.59%) than CA125 (84.71%) and HE4 (80.80%) for recurrence diagnosis, and its optimal cutoff value was 17.07%. Conclusion: The primary ROMA index is a predictive factor in EOC recurrence and has better performance in the diagnosis of EOC recurrence.

A Blood-Based Metabolite Panel for Distinguishing Ovarian Cancer from Benign Pelvic Masses.

PURPOSE: To assess the contributions of circulating metabolites for improving upon the performance of the risk of ovarian malignancy algorithm (ROMA) for risk prediction of ovarian cancer among women with ovarian cysts. EXPERIMENTAL DESIGN: Metabolomic profiling was performed on an initial set of sera from 101 serous and nonserous ovarian cancer cases and 134 individuals with benign pelvic masses (BPM). Using a deep learning model, a panel consisting of seven cancer-related metabolites [diacetylspermine, diacetylspermidine, N-(3-acetamidopropyl)pyrrolidin-2-one, N-acetylneuraminate, N-acetyl-mannosamine, N-acetyl-lactosamine, and hydroxyisobutyric acid] was developed for distinguishing early-stage ovarian cancer from BPM. The performance of the metabolite panel was evaluated in an independent set of sera from 118 ovarian cancer cases and 56 subjects with BPM. The contributions of the panel for improving upon the performance of ROMA were further assessed. RESULTS: A 7-marker metabolite panel (7MetP) developed in the training set yielded an AUC of 0.86 [95% confidence interval (CI): 0.76-0.95] for early-stage ovarian cancer in the independent test set. The 7MetP+ROMA model had an AUC of 0.93 (95% CI: 0.84-0.98) for early-stage ovarian cancer in the test set, which was improved compared with ROMA alone [0.91 (95% CI: 0.84-0.98); likelihood ratio test P: 0.03]. In the entire specimen set, the combined 7MetP+ROMA model yielded a higher positive predictive value (0.68 vs. 0.52; one-sided P < 0.001) with improved specificity (0.89 vs. 0.78; one-sided P < 0.001) for early-stage ovarian cancer compared with ROMA alone. CONCLUSIONS: A blood-based metabolite panel was developed that demonstrates independent predictive ability and complements ROMA for distinguishing early-stage ovarian cancer from benign disease to better inform clinical decision making.

HE4 as a serum biomarker for the diagnosis of pelvic masses: a prospective, multicenter study in 965 patients.

BACKGROUND: To evaluate the diagnostic value of adding human epididymis protein 4 (HE4), cancer antigen 125 (CA125) and risk of malignancy algorithm (ROMA) to ultrasound for detecting ovarian cancer in patients with a pelvic mass. METHODS: This was a prospective, observational, multicenter study. Patients aged > 18 years who were scheduled to undergo surgery for a suspicious pelvic mass had CA125 and HE4 levels measured prior to surgery, in addition to a routine transvaginal ultrasound scan. The diagnostic performance of CA125, HE4 and ROMA for distinguishing between benign and malignant adnexal masses was assessed using receiver operating characteristic (ROC) analysis and the corresponding area under the curve (AUC). RESULTS: Of 965 evaluable patients, 804 were diagnosed with benign tumors and 161 were diagnosed with ovarian cancer. In late-stage ovarian cancer, CA125, HE4 and ROMA all had an excellent diagnostic performance (AUC > 0.92), whereas in stage I and II, diagnostic performance of all three biomarkers was less adequate (AUC < 0.77). In the differential diagnosis of ovarian cancer and endometriosis, ROMA and HE4 performed better than CA125 with 99 and 98.1% versus 75.0% sensitivity, respectively, at 75.4% specificity. CONCLUSIONS: ROMA and HE4 could be valuable biomarkers to help with the diagnosis of ovarian cancer in premenopausal patients in order to differentiate from endometriosis, whereas CA125 may be more adequate for postmenopausal patients.

A Clinical Diagnostic Value Analysis of Serum CA125, CA199, and HE4 in Women with Early Ovarian Cancer: Systematic Review and Meta-Analysis.

Objective: To evaluate the value of combined detection of serum CA125, CA199, and HE4 in the diagnosis of ovarian cancer. Methods: Relevant articles retrieved from PubMed, Elsevier Science, Springer, China National Knowledge Infrastructure (CNKI), Wanfang, and VIP databases were screened strictly according to inclusion and exclusion criteria. Included literature published from January 2005 to December 2021. (2) Serum HE4, CA125, CA199, and their combination for ovarian cancer diagnostic tests were studied, and healthy subjects or patients with the benign disease were taken as a control group. (3) Pathological tissue diagnosis as the gold standard. (4) Complete original data can be obtained. (5) The sample size was ≥20. (6) Language is limited to Chinese and English. Data features and QUADAS table were extracted from the included literature, and QUADAS evaluation tool detail table was used for the included study. Conduct quality evaluation. Statistical analysis was carried out using meta-disc software version 1.4. Appropriate effect model was selected to merge the effect size, and the forest maps of merge sensitivity, merge specificity, and merge likelihood ratio were obtained. Results: The results of meta-analysis showed that there was a statistical difference in diagnostic specificity analysis of CA125 (OR = 1.91, 95% CI (1.58, 2.32), P < 0.00001, I 2 = 67%, Z = 6.58); diagnostic sensitivity analysis of CA125 (OR = 2.50, 95% CI (1.73, 3.62), P < 0.00001, I 2 = 0%, Z = 4.90); diagnostic specificity analysis of CA199 (OR = 1.98, 95% CI (1.60, 2.44), P < 0.00001, I 2 = 89%, Z = 6.35); diagnostic sensitivity analysis of CA199 (OR = 1.92, 95% CI (1.46, 2.52), P < 0.00001, I 2 = 73%, Z = 4.70); diagnostic specificity analysis of HE4 (OR = 2.08, 95% CI (1.65, 2.63), P < 0.00001, I 2 = 73%, Z = 6.19); diagnostic sensitivity analysis of HE4 (OR = 2.37, 95% CI (1.87, 3.00), P < 0.00001, I 2 = 83%, Z = 7.19). Conclusion: In the clinical assisted diagnosis of ovarian cancer, combined detection of CA125, CA199, and HE4 has the stronger discriminant ability and higher accuracy than single detection of CA125, which can improve the diagnostic efficiency.

Can serum human epididymis protein 4 (HE4) support the decision to refer a patient with an ovarian mass to an oncology hospital?

INTRODUCTION: The value of serum human epididymis protein 4 (HE4) in guiding referral decisions in patients with an ovarian mass remains unclear, because the majority of studies investigating HE4 were performed in oncology hospitals. However, the decision to refer is made at general hospitals with a low ovarian cancer prevalence. We assessed accuracies of HE4 in differentiating benign or borderline from malignant tumors in patients presenting with an ovarian mass at general hospitals. METHOD: Patients with an ovarian mass were prospectively included between 2017 and 2021 in nine general hospitals. HE4 and CA125 were preoperatively measured and the risk of malignancy index (RMI) was calculated. Histological diagnosis was the reference standard. RESULTS: We included 316 patients, of whom 195 had a benign, 39 had a borderline and 82 had a malignant ovarian mass. HE4 had the highest AUC of 0.80 (95%CI 0.74-0.86), followed by RMI (0.71, 95%CI 0.64-0.78) and CA125 (0.69, 95%CI 0.62-0.75). Clinical setting significantly influenced biomarker performances. Applying age-dependent cut-off values for HE4 resulted in a better performance than one cut-off. Addition of HE4 to RMI resulted in a 32% decrease of unnecessary referred patients, while the number of correctly referred patients remained the same. CONCLUSION: HE4 is superior to RMI in predicting malignancy in patients with an ovarian mass from general hospitals. The addition of HE4 to the RMI improved HE4 alone. Although, there is still room for improvement, HE4 can guide referral decisions in patients with an ovarian mass to an oncology hospital.

Biomarkers for Early Diagnosis of Ovarian Carcinoma.

The leading cause of gynecological cancer-related morbidity and mortality is ovarian cancer (OC), which is dubbed a silent killer. Currently, OC is a target of intense biomarker research, because it is often not discovered until the disease is advanced. The goal of OC research is to develop effective tests using biomarkers that can detect the disease at the earliest stages, which would eventually decrease the mortality, thereby preventing recurrence. Therefore, there is a pressing need to revisit the existing biomarkers to recognize the potential biomarkers that can lead to efficient predictors for the OC diagnosis. This Perspective covers an update on the currently available biomarkers used in the triaging of OC to gain certain insights into the potential role of these biomarkers and their estimation that are crucial to the understanding of neoplasm progression, diagnostics, and therapy.

Human epididymis protein 4 aggravates airway inflammation and remodeling in chronic obstructive pulmonary disease.

BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a progressive disease characterized by chronic inflammation and airway remodeling. Human epididymis protein 4 (HE4) plays a critical role in various inflammatory or fibrotic diseases. However, the role of HE4 in COPD remains unidentified. METHODS: HE4 expression was determined in the lung tissues from COPD patients and cigarette smoke (CS)-exposed mice using immunohistochemical staining, qPCR, or western blot. The plasma level of HE4 was detected by ELISA. The regulations of HE4 in the expressions of CS extract (CSE)-induced inflammatory cytokines in human bronchial epithelial cells (HBE) were investigated through knockdown or overexpression of HE4. The role of secretory HE4 (sHE4) in the differentiation and proliferation in human pulmonary fibroblast cells (HPF) was explored via qPCR, western blot, CCK8 assay or 5-ethynyl-2'-deoxyuridine (EdU) staining. The probe of related mechanism in CSE-induced HE4 increase in HBE was conducted by administrating N-acetylcysteine (NAC). RESULTS: HE4 was up-regulated in both the lung tissue and plasma of COPD patients relative to controls, and the plasma HE4 was negatively associated with lung function in COPD patients. The same enhanced HE4 expression was verified in CS-exposed mice and CSE-induced HBE, but CSE failed to increase HE4 expression in HPF. In vitro experiments showed that reducing HE4 expression in HBE alleviated CSE-induced IL-6 release while overexpressing HE4 facilitated IL-6 expression, mechanistically through affecting phosphorylation of NFκB-p65, whereas intervening HE4 expression had no distinctive influence on IL-8 secretion. Furthermore, we confirmed that sHE4 promoted fibroblast-myofibroblast transition, as indicated by promoting the expression of fibronectin, collagen I and α-SMA via phosphorylation of Smad2. EdU staining and CCK-8 assay demonstrated the pro-proliferative role of sHE4 in HPF, which was further confirmed by enhanced expression of survivin and PCNA. Pretreatment of NAC in CSE or H2O2-induced HBE mitigated HE4 expression. CONCLUSIONS: Our study indicates that HE4 may participate in airway inflammation and remodeling of COPD. Cigarette smoke enhances HE4 expression and secretion in bronchial epithelium mediated by oxidative stress. Increased HE4 promotes IL-6 release in HBE via phosphorylation of NFκB-p65, and sHE4 promotes fibroblastic differentiation and proliferation.

Prediction of early recurrencies of uterine body cancer based on monitoring of serum biological markers.

The aim of this work was to optimize the prognosis of early recurrences of uterine cancer by searching for informative laboratory biomarkers. The study included 343 patients with I-IV stages FIGO endometrial adenocarcinoma the ages of 53 and 76 years. In patients before surgery, as well as 3 and 6 months after the end of primary treatment, the concentration of oncological markers CA-125, HE4, DJ-1, DKK-1 was determined in blood serum by ELISA and electrochemiluminescence immunoassay. We analyzed the predictive informativeness of monitoring markers to assess the risk of early recurrences of cancer within two years after surgery. In patients with uterine cancer with the stage of the disease and the degree of tumor differentiation in the blood serum, the concentration of DJ-1 is changed. With myometrial invasion of more than 50%, increased serum levels of three markers - CA-125, HE4, and DJ-1. Depending on the risk of disease recurrence, the assessment of which was determined by intraoperative and histological characteristics, a difference was revealed in the content of HE4 and DJ-1 markers in the blood. It was found that the risk of early recurrence of uterine cancer increased (p<0,05) when the concentration of CA-125 exceeded the level of 29,3 U/ml, HE4 was above 79,3 pmol/l, DJ-1 was above 90,0 ng/ml and DKK-1 above 47,3 pg/ml 6 months after the end of primary treatment. The highest predictive information value was found for monitoring DJ-1 and HE4 in blood serum, which indicates that they are promising for use in continuous monitoring of the course of cancer.

A bioinformatic analysis of WFDC2 (HE4) expression in high grade serous ovarian cancer reveals tumor-specific changes in metabolic and extracellular matrix gene expression.

Human epididymis protein-4 (HE4/WFDC2) has been well-studied as an ovarian cancer clinical biomarker. To improve our understanding of its functional role in high grade serous ovarian cancer, we determined transcriptomic differences between ovarian tumors with high- versus low-WFDC2 mRNA levels in The Cancer Genome Atlas dataset. High-WFDC2 transcript levels were significantly associated with reduced survival in stage III/IV serous ovarian cancer patients. Differential expression and correlation analyses revealed secretory leukocyte peptidase inhibitor (SLPI/WFDC4) as the gene most positively correlated with WFDC2, while A kinase anchor protein-12 was most negatively correlated. WFDC2 and SLPI were strongly correlated across many cancers. Gene ontology analysis revealed enrichment of oxidative phosphorylation in differentially expressed genes associated with high-WFDC2 levels, while extracellular matrix organization was enriched among genes associated with low-WFDC2 levels. Immune cell subsets found to be positively correlated with WFDC2 levels were B cells and plasmacytoid dendritic cells, while neutrophils and endothelial cells were negatively correlated with WFDC2. Results were compared with DepMap cell culture gene expression data. Gene ontology analysis of k-means clustering revealed that genes associated with low-WFDC2 were also enriched in extracellular matrix and adhesion categories, while high-WFDC2 genes were enriched in epithelial cell proliferation and peptidase activity. These results support previous findings regarding the effect of HE4/WFDC2 on ovarian cancer pathogenesis in cell lines and mouse models, while adding another layer of complexity to its potential functions in ovarian tumor tissue. Further experimental explorations of these findings in the context of the tumor microenvironment are merited.

HE4 is associated with clinical risk prognostic factors and survival outcome in primary fallopian tube carcinoma patients.

AIM: To explore whether HE4 was associated with clinical risk prognostic factors and survival outcome in primary fallopian tube carcinoma patients. METHODS: Ninety-six primary fallopian tube carcinoma (PFTC) patients from March 2011 to June 2019 were enrolled in this study. Serum CA125 and HE4 concentrations were measured at four time points including primary diagnosis, postsurgery, pre-recurrence, and recurrence. The relations between clinical risk prognostic factors with HE4 concentrations were investigated, and multivariate survival analysis was used to calculate the hazard ratios between HE4 levels with recurrence-free survival and overall survival. RESULTS: HE4 were significantly elevated in poor performance status, advanced stage, high histological grade and residual tumor diameter >1 cm, and positive lymph node status, respectively, compared with those in well performance status, early stage, low histological grade, residual tumor diameter ≤1 cm, and negative lymph node status, respectively. Multivariate survival analysis indicated serum HE4 can predict outcome of recurrence-free survival and overall survival with hazard ratios of 9.92 (95% confidence interval [CI]: 2.95-33.32) and 3.12 (95% CI: 1.07-9.08), respectively. CONCLUSION: HE4 is associated with clinical risk prognostic factors in PFTC and contributes to predict survival outcome in PFTC cases.