Startseite Medizin Serum-derived exomiR-188-3p is a promising novel biomarker for early-stage ovarian cancer
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Serum-derived exomiR-188-3p is a promising novel biomarker for early-stage ovarian cancer

  • Mingyu Wang , Wenwen Zhang , Guangyan Cheng , Juan Xu und Pengpeng Qu EMAIL logo
Veröffentlicht/Copyright: 19. August 2025

Abstract

Background

The exosomal microRNAs (exomiRNAs) are promising novel biomarkers for clinical detection and prognosis assessment of human cancers. The aim of this study was to identify potential exomiRNAs as biomarkers in ovarian cancer (OC).

Methods

The candidate exomiRNAs were screened by analysis of GSE235525, GSE239685, and GSE216150 datasets and further validated in exosome samples from the serum of 61 patients with OC and OC cell lines by qPCR. The correlations between exomiRNAs expression and clinicopathological features of OC patients were assessed, and Kaplan–Meier survival and receiver operating characteristic curves were employed to analyze the prognostic and diagnostic values.

Results

We found that exomiR-188-3p expression was downregulated in patients with OC and OC cell lines compared with healthy controls and normal cells. Decreased exomiR-188-3p was associated with advanced FIGO stage, lymph node metastasis, and distant metastasis. The area under the curve (AUC) values of exomiR-188-3p for differentiating OC, stage IA–IIA OC, and no metastatic OC from healthy controls were 0.8983, 0.8461, and 0.8179. And combination of exomiR-188-3p and CA125 yields better diagnostic efficacy, with AUC values of 0.9323, 0.8925, and 0.9120. Lower expression of exomiR-188-3p predicted a poor overall survival and progression-free survival in patients with OC.

Conclusion

Decreased exomiR-188-3p could be a potential early diagnostic and prognostic biomarker for OC patients.

1 Introduction

Ovarian cancer (OC) is a common malignancy in the female reproductive system worldwide, characterized by high morbidity and mortality [1]. Epithelial OC is the most common subtype, accounting for approximately 80–90% of all OC cases. Early clinical symptoms of OC are not obvious, and there is a clear lack of early diagnostic biomarkers of high specificity, resulting in over 70% of patients are diagnosed at advanced stages [2]. Despite recent progress in surgical procedures and chemotherapeutic regimens, statistics from relevant studies found that the 5-year survival rate of OC patients is less than 40% due to a high rate of tumor recurrence and metastasis [3]. Therefore, identification of early diagnostic and novel prognostic biomarkers involved in OC progression is quite urgent and important.

In recent decades, the use of liquid biopsies as a non-invasive method for characterizing the genomes of cancer patients has been steadily increasing [4]. Exosomes, originating from the endosome, are small lipid bilayer membrane-enclosed extracellular vesicles with a diameter ranging between 30 and 150 nm, which are secreted by almost all cell types and can be detected in body fluids such as serum, urine, saliva, and amniotic fluid [5]. More significantly, numerous studies have suggested that exosomes play a key role in physiological and pathological processes, including cell growth and development, immune formation, inflammatory response, chemoresistance, angiogenesis, and tumor metastasis, and act as ideal biomarkers for the screening, diagnosis, and monitoring of severity in human diseases, including cancers [6]. microRNAs (miRNAs) are one of the major components in exosomes, and increasing studies have revealed that exosomal miRNAs (exomiRNAs) are stable in blood and have the potential to serve as promising novel biomarkers used for clinical detection and prognosis assessment of malignant neoplasms [7].

To date, several studies have revealed the diagnostic and prognostic roles of exomiRNAs in human cancers via lipid biopsies [8]. For example, plasma exomiR-485-3p could serve as a new biomarker for diagnosing papillary thyroid cancer patients with high-risk factors [9]. Zhou et al. [10] reported that plasma-derived exomiR-15a-5p is a promising and effective diagnostic biomarker for the early detection of endometrial cancer. Besides, exomiR-1307-5p derived from saliva is a potential prognosticator for predicting poor survival in oral squamous cell carcinoma [11]. However, the application of exomiRNAs as biomarkers remains largely unexplored in OC. In this study, we identified decreased exomiR-188-3p in OC patients through miRNA microarray datasets. Previous study indicated that exomiR-188-3p serves as a biomarker and therapeutic target in colorectal cancer (CRC) metastasis [12]. Plasma exomiR-188-3p levels are higher in CRC patients with liver metastasis, and exomiR-188-3p from CRC cells drives liver metastasis by inducing the formation of a pre-metastatic niche via the AKT/mTOR pathway. Moreover, Li et al. [13] discovered that exomiR-188-3p from adipose-derived stem cells inhibits autophagy and pyroptosis, while promoting cell proliferation by targeting CDK5 and NLRP3 in Parkinson’s disease. Given the evidence above, we assessed the diagnostic and prognostic values of exomiR-188-3p in patients with OC. Our study offers a preliminary basis for serum-derived exomiR-188-3p as a non-invasive biomarker for early-stage OC diagnosis and prognosis.

2 Materials and methods

2.1 Patients and sample collection

A total of 75 cases of patients with OC were initially recruited in Tianjin Central Hospital of Gynecology and Obstetrics (Tianjin, China) between February 2018 and March 2019, 14 cases were excluded due to loss of follow up, and peripheral whole blood was collected in vacuum blood tubes from remaining 61 cases ranged from 34 to 79 years old (age: 63.52 ± 11.68 years) before any treatment. Two independent experienced pathologists substantiated the diagnosis of OC through the histological analysis of tumor tissues removed by surgery. Pathological classification of OC patients was assessed according to the revised 2018 International Federation of Gynecology and Obstetrics (FIGO) [14], of which 27 cases were in the early stage (stage IA–IIA) and 34 cases in the advanced stage (stage IIB–IV). During the same period, intravenous whole blood was also collected from 61 female healthy controls ranging from 32 to 80 years old (age: 55.12 ± 12.80 years), with no history of malignant tumors and ovarian diseases during routine physical examinations.

The supernatant serum samples were extracted from whole blood and centrifuged at 1,200 × g for 12 min at 37°C, followed by centrifugation again at 16,000 × g for 15 min at 37°C to remove residual blood cells. All samples were quickly frozen at −80°C until further processing.

The follow-up of this study started in March 2018 and ended in March 2024; the patients got follow-up for 60 months from the date of surgical resection. Overall survival (OS) was defined from the initial surgery to patient death from any cause or the last follow-up, and progression-free survival (PFS) was defined from the initial surgery to disease progression.

2.2 Cell culture

The human ovarian epithelial cell line (IOSE80; RRID: CVCL_5546) and five commonly used human OC cell lines, including A2780 (RRID: CVCL_0134), CAOV3 (RRID: CVCL_0201), TOV-112D (RRID: CVCL_3612), SKOV3 (RRID: CVCL_0532), and OVCAR-3 (RRID: CVCL_0465), were obtained from the Type Culture Collection of the Chinese Academy of Sciences (Shanghai, China). These OC cells were cultured in Dulbecco’s modified Eagle’s medium (DMEM) (Gibco; Thermo Fisher Scientific, Inc), whereas the IOSE80 cells were cultured in Roswell Park Memorial Institute-1640 (RPMI-1640) (Sigma-Aldrich; MERCK), both supplemented with 10% fetal bovine serum (FBS; Gibco; Thermo Fisher Scientific, Inc) and 1% penicillin/streptomycin (Hyclone). All of these cells were cultivated in a humidified atmosphere of 5% CO2 at 37°C.

2.3 GW4869 treatment

GW4869, a neutral sphingomyelinase inhibitor, is a widely used dihydroimidazolamide compound for preventing exosome secretion, which can effectively inhibit ceramide-modulated inward budding of multivesicular bodies (MVBs) and subsequent release of mature exosomes from MVBs [15]. As previously described, GW4869 is often used as an exosome inhibitor to suppress exosome secretion in different types of eukaryotic cells, including OC cells [16]. For GW4869 treatment, an appropriate amount of GW4869 powder (Yeasen Biotechnology, Shanghai, China) was dissolved in a 100% dimethyl sulfoxide solution. The IOSE80 and the five OC cells were cultured in RPMI-1640 and DMEM with 10% exosome-free FBS, respectively. When the growth density of cells reached approximately 75%, 10 μM GW4869 was added to these above cells. After 48 h, cell supernatants from each cell culture were collected for exosome extraction.

2.4 Isolation and characterization of exosomes from serum samples and cultured cells

The exosomes from serum samples were extracted using Total Exosome Isolation Reagent (Invitrogen; Thermo Fisher Scientific, Inc) as previously described [17]. Briefly, 500 μL of serum was thawed on ice and centrifuged at 2,000 × g for 30 min to remove possible cell residues. Then the resultant supernatants were mixed with exosome separation reagent for 30 min. After filtration through 0.22 μM filter membranes, the resultant supernatants were centrifuged at 10,000 × g for 10 min to harvest exosomes. All centrifugal steps were kept at 4°C. The isolated exosomes were resuspended in 100 μL of phosphate-buffered saline (PBS) buffer with pH 7.4 and preserved at −80°C.

The exosomes from cultured cells were extracted using a differential ultracentrifugation method [18]. First, cell supernatants were collected from 50 mL of cell culture. Second, the supernatants were centrifuged at 300 × g at room temperature for 10 min and filtered through 0.45 µM filters to remove the cell debris. Third, the resultant supernatants were centrifuged at 3,000 × g for 10 min to remove larger particles. Finally, the resultant supernatants were centrifuged at 10,000 × g for 30 min at 4°C, followed by centrifugation again at 100,000 × g for 70 min using the Optima XPN-100 (Beckman Coulter, Inc.) to harvest exosomes. Repeat the previous step, and the purified exosomes can be reaped. The exosome pellets were resuspended in PBS buffer and stored at −80°C for the following RNA extraction.

For morphology characteristics and size identification of exosomes, transmission electron microscopy and nanoparticle tracking analysis were employed as previously described [19], following the manufacturer’s guidelines. In addition, Western blots were performed to confirm the presence of exosomes by analysis of exosome-positive markers (CD81 and TSG101) and exosome-negative markers (calnexin and GRP94).

2.5 RNA preparation and quality assessment

Total RNAs were extracted from exosomes using TRIzol reagent (Invitrogen; Thermo Fisher Scientific, Inc) according to the manufacturer’s instructions. Then, RNAs were tested for quality via 1% agarose gel electrophoresis, RNA concentrations were determined with NanoDrop 2000c (Thermo Fisher Scientific, Inc), and the RNA samples with A260/230 ratio >1.8 and A260/280 ratios of 1.8–2.0 were used for further experiments.

2.6 cDNA synthesis and real-time PCR (qPCR)

According to the instructions, 1 μg of total RNA was used to generate cDNA using miScript II RT Kit (QIAGEN). The levels of exomiR-188-3p were quantified using the miScript SYBR® Green PCR Kit (QIAGEN) as per the manufacturer’s protocol, and U6 was used as an internal standard. qPCR was performed on the Roche Lightcycler 480 Real-Time PCR system (Roche Diagnostics, Basel, Switzerland). The primers used were as follows: exomiR-188-3p, 5′-CTCCCACATGCAGGGTTTGCA-3′ (F) and 5′-ATCCAGTGCAGGGTCCGAGG-3′ (R); U6, 5′-CTCGCTTCGGCAGCACA-3′ (F) and 5′-ACGCTTCACGAATTTGCGT-3′ (R). Amplification reactions were performed in a 20-μL final volume and were done as follows: initial denaturation at 95°C for 10 min, followed by 40 cycles at 95°C for 10 s and 60°C for 45 s and, finally, 4°C for 20 min. qPCR assay was performed in triplicate. The relative exomiR-188-3p expression was calculated using the delta–delta Ct method.

2.7 Protein extraction and Western blots

Total proteins from cells and exosomes were extracted using RIPA buffer containing protease and phosphatase inhibitors (Invitrogen; Thermo Fisher Scientific, Inc). The protein concentrations of the extracts were measured using a BCA Protein Assay Kit (Beyotime, Shanghai, China) following the manufacturer’s guidelines. Equal amounts of proteins were subjected to 10% sodium dodecyl sulfate-polyacrylamide gel electrophoresis for separation. After that, the protein samples were transferred onto polyvinylidene difluoride membranes (Beyotime). Then, the membranes were blocked with 5% skimmed milk for 90 min, followed by overnight incubation with primary antibodies including CD81 (ab79559), TSG101 (ab125011), calnexin (ab92573), and GRP94 (ab238126), at a ratio of 1:1,000–1:2,000 at 4°C. All primary antibodies were sourced from Abcam. Subsequently, the membranes were incubated with appropriate secondary antibodies for 1 h at room temperature. Lastly, protein bands were visualized using an enhanced chemiluminescence reagent (Beyotime) under a ChemiDoc XRS system (Bio-Rad Laboratories).

2.8 MiRNAs microarray analysis in OC

Three miRNA microarray datasets were downloaded from Gene Expression Omnibus (GEO; http://www.ncbi.nlm.nih.gov/geo/), including GSE235525 miRNA profiles contained 36 OC patients and 34 healthy subjects, GSE239685 miRNA profiles contained 16 OC patients and 4 healthy controls, and GSE216150 miRNA profiles contained 8 OC patients and 8 healthy individuals. The Student’s t-test and Limma package of R/Bioconductor were performed to identify differentially expressed miRNAs with a cutoff of Log2 fold change ≥ 0.5 and P-value <0.05, as previously described [20]. Subsequently, the overlap differentially expressed miRNAs in these datasets were obtained as candidate exomiRNAs for further analysis. Venn diagrams were generated using an online analysis platform (http://bioinformatics.psb.ugent.be/webtools/Venn/).

2.9 Bioinformatic, Gene Ontology (GO), and Kyoto Encyclopedia of Genes and Genome (KEGG) pathway enrichment analysis

The miRWalk version 3 (http://mirwalk.umm.uni-heidelberg.de/) contained miRWalk, miRanda, miRDB, Pictar2, RNAhybrid, and Targetscan databases were used to predict the potential targeted mRNAs of exomiRNAs. Target mRNAs identified by at least three algorithms were chosen. The GO function analysis of these targeted mRNAs was assessed using the Database for Annotation, Visualization and Integrated Discovery (https://david.ncifcrf.gov/), including biological process (BP), cellular component (CC), and molecular function (MF) terms, the significantly enriched biological items were identified with P-value <0.05. KEGG tool (https://www.kegg.jp) was used to analyze functions of these targeted mRNAs involved in multiple pathways and metabolic processes, and P-value <0.05 was considered as significantly enriched pathways.

2.10 Statistical analysis

Statistical analyses were performed using SPSS version 24.0 (SPSS, Inc.), and measurement data were presented as the mean ± standard deviation (SD). Categorical variables were expressed as frequency and percentage. Two-tailed Student’s t-test and one-way analysis of variance with Turkey’s test were performed to compare the differences between groups, as appropriate. Chi-square test was used to determine the association between clinical features and exomiR-188-3p expression in OC patients. Kaplan–Meier analysis was used to calculate PFS and OS rates based on survival data, and differences were compared using the log-rank test. The diagnostic performance of exomiR-188-3p, carbohydrate antigen 125 (CA125), and exomiR-188-3p + CA125 for OC was analyzed using receiver operating characteristic (ROC) curves, and the area under the curve (AUC) values were calculated. When the Youden index reached its maximum value, the sensitivity and specificity were determined. A value of P-value <0.05 was considered to be statistically significant.

  1. Informed consent: Written informed consents were obtained from all participants.

  2. Ethical approval: The study protocols were approved by the Ethics Committee of Tianjin Central Hospital of Gynecology and Obstetrics on human research in accordance with the Declaration of Helsinki.

3 Results

3.1 Identification of candidate exomiRNAs in OC patients from miRNA microarray datasets

To identify differentially expressed miRNAs in OC patients, we used a cutoff of |Log2 fold change| ≥ 0.5 and P-value < 0.05 through volcano plot filtering. A total of 25, 284, and 176 differentially expressed miRNAs were extracted from GSE235525, GSE239685, and GSE216150 datasets, respectively (Figure 1a–c). Further Venn diagram analysis showed that there were 11 overlapped differentially expressed miRNAs in the three datasets (Figure 1d), including miR-199a-5p, miR-107, miR-188-3p, miR-631, let-7b-5p, miR-1260a, miR-885-5p, miR-346, miR-615-3p, miR-654-3p, and miR-548d-5p. Based on these results, these miRNAs could be served as candidate exomiRNAs.

Figure 1 
                  Identification of candidate exomiRNAs in OC patients by miRNA microarray profiles from the GEO database. (a) Volcano plot of differentially expressed miRNAs from GSE235525. (b) Volcano plot of differentially expressed miRNAs from GSE239685. (c) Volcano plot of differentially expressed miRNAs from GSE216150. (d) Venn diagram showing 11 overlapped differentially expressed miRNAs in the three datasets, including miR-199a-5p, miR-107, miR-188-3p, miR-631, let-7b-5p, miR-1260a, miR-885-5p, miR-346, miR-615-3p, miR-654-3p, and miR-548d-5p. exomiRNAs: exosomal microRNAs, OC: ovarian cancer, GEO: Gene Expression Omnibus.
Figure 1

Identification of candidate exomiRNAs in OC patients by miRNA microarray profiles from the GEO database. (a) Volcano plot of differentially expressed miRNAs from GSE235525. (b) Volcano plot of differentially expressed miRNAs from GSE239685. (c) Volcano plot of differentially expressed miRNAs from GSE216150. (d) Venn diagram showing 11 overlapped differentially expressed miRNAs in the three datasets, including miR-199a-5p, miR-107, miR-188-3p, miR-631, let-7b-5p, miR-1260a, miR-885-5p, miR-346, miR-615-3p, miR-654-3p, and miR-548d-5p. exomiRNAs: exosomal microRNAs, OC: ovarian cancer, GEO: Gene Expression Omnibus.

3.2 Validation of exomiR-188-3p expression in exosome samples from patients with OC and OC cell lines

Considering the fold changes of candidate exomiRNAs, exomiR-188-3p was selected as one of the most significantly down-regulated miRNAs. Then, qPCR analysis was performed with independent exosome samples from 61 patients with OC and 61 healthy volunteers to verify the expression levels of exomiR-188-3p. As shown in Figure 2a, the levels of the exomiR-188-3p were dramatically downregulated in OC patients compared to those healthy controls. We further isolated the exosomes from human ovarian epithelial cell line (IOSE80) and human OC cell lines (A2780, CAOV3, TOV-112D, SKOV3, and OVCAR-3). In the exosome samples, CD81 and TSG101 proteins showed significant enrichment, while calnexin and GRP94 were almost undetectable, indicating successful isolation of exosomes (Figure S1). It was found that exomiR-188-3p expression was dramatically decreased in OC cell lines compared with IOSE80 cells (Figure 2b), which was consistent with the results of exomiR-188-3p in OC patients. Notably, when exosome formation was inhibited using the exosome inhibitor GW4869, exomiR-188-3p expression was significantly weakened in these cells (Figure 2c). Thus, exomiR-188-3p is indeed lowly expressed in exosome samples from patients with OC and OC cell lines and is worthy of further study.

Figure 2 
                  Confirmation exomiR-188-3p expression in exosome samples from patients with OC and OC cell lines. (a) qPCR analysis of exomiR-188-3p levels in exosome samples from 61 patients with OC and 61 healthy controls, and scatter plots showing relative expression levels of exomiR-188-3p. (b) Relative expression levels of exomiR-188-3p in human OC cell lines (A2780, CAOV3, TOV-112D, SKOV3, and OVCAR-3) compared with human ovarian epithelial cell line (IOSE80). (c) Relative expression levels of exomiR-188-3p in the above cell lines treated with or without exosome inhibitor GW4869. The experiments were performed in triplicate, and the data were presented as the mean ± SD. qPCR: real-time PCR.
Figure 2

Confirmation exomiR-188-3p expression in exosome samples from patients with OC and OC cell lines. (a) qPCR analysis of exomiR-188-3p levels in exosome samples from 61 patients with OC and 61 healthy controls, and scatter plots showing relative expression levels of exomiR-188-3p. (b) Relative expression levels of exomiR-188-3p in human OC cell lines (A2780, CAOV3, TOV-112D, SKOV3, and OVCAR-3) compared with human ovarian epithelial cell line (IOSE80). (c) Relative expression levels of exomiR-188-3p in the above cell lines treated with or without exosome inhibitor GW4869. The experiments were performed in triplicate, and the data were presented as the mean ± SD. qPCR: real-time PCR.

3.3 Correlations between exomiR-188-3p expression and clinical features as well as prognosis in OC patients

The levels of exomiR-188-3p in OC patients with lymph node metastasis, distant metastasis, and FIGO stage IIB–IV were lower than those in OC patients with no lymph node metastasis, no distant metastasis, and FIGO stage IA–IIA, respectively (Figure 3a–c). Then, we used the median of exomiR-188-3p level as the cut-off value and divided 61 patients with OC into a high exomiR-188-3p group (n = 30) and a low exomiR-188-3p group (n = 31). Detailed characteristic information of the OC patients is summarized in Table 1. We examined the correlation of exomiR-188-3p expression with the clinicopathologic factors and found that decreased exomiR-188-3p expression was associated with advanced FIGO stage, lymph node metastasis, and distant metastasis. Nevertheless, no relationship was found between exomiR-188-3p expression and other factors, including age, histological subtype, tumor size, tumor grade, and serum CA125 level.

Figure 3 
                  Correlation between exomiR-188-3p expression and prognosis of OC patients. (a) qPCR analysis of the relative abundance of exomiR-188-3p in OC patients with lymph node metastasis and OC patients without lymph node metastasis. (b) Scatter plot showing the relative expression of exomiR-188-3p in OC patients with distant metastasis and OC patients without distant metastasis. (c) Scatter plot showing the relative levels of exomiR-188-3p in OC patients at FIGO stage IIB–IV and OC patients at FIGO stage IA-IIA. (d) Kaplan–Meier survival analysis of correlation between exomiR-188-3p expression and OS in OC patients. (e) Kaplan–Meier curves of PFS for OC patients based on exomiR-188-3p expression. The experiments were performed in triplicate, and the data were presented as the mean ± SD. FIGO: International Federation of Gynecology and Obstetrics, OS: overall survival, PFS: progression-free survival.
Figure 3

Correlation between exomiR-188-3p expression and prognosis of OC patients. (a) qPCR analysis of the relative abundance of exomiR-188-3p in OC patients with lymph node metastasis and OC patients without lymph node metastasis. (b) Scatter plot showing the relative expression of exomiR-188-3p in OC patients with distant metastasis and OC patients without distant metastasis. (c) Scatter plot showing the relative levels of exomiR-188-3p in OC patients at FIGO stage IIB–IV and OC patients at FIGO stage IA-IIA. (d) Kaplan–Meier survival analysis of correlation between exomiR-188-3p expression and OS in OC patients. (e) Kaplan–Meier curves of PFS for OC patients based on exomiR-188-3p expression. The experiments were performed in triplicate, and the data were presented as the mean ± SD. FIGO: International Federation of Gynecology and Obstetrics, OS: overall survival, PFS: progression-free survival.

Table 1

Correlation between exomiR-188-3p expression and clinical features in OC patients

Features exomiR-188-3p expression P value
Low % High %
Age (years)
<55 12 19.67 9 14.75 0.4741
≥55 19 31.15 21 34.43
Tumor size (cm)
<10 20 32.79 15 24.59 0.2517
≥10 11 18.03 15 24.59
Histological subtype
Serous 25 40.98 19 31.15 0.2882
Endometrioid 4 6.56 6 9.84
Clear cell 2 3.28 5 8.20
Tumor grade
G1 10 16.39 13 21.31 0.5762
G2 8 13.11 8 13.11
G3 13 21.31 9 14.75
Lymph node metastasis
No 5 8.20 14 22.95 0.0100
Yes 26 42.62 16 26.23
FIGO stage
IA-IIA 9 14.75 18 29.51 0.0149
IIB-IV 22 36.07 12 19.67
Distant metastasis
No 18 29.51 27 44.26 0.0046
Yes 13 21.31 3 4.92
Serum CA125 (U/mL)
<35 6 9.84 3 4.92 0.3030
≥35 25 40.98 27 44.26

FIGO: International Federation of Gynecology and Obstetrics, G1: well differentiated, G2: moderately differentiated, G3: poorly differentiated, CA125: carbohydrate antigen 125.

The prognostic value of exomiR-188-3p-based signatures in OS and PFS was assessed through the Kaplan–Meier curves of OC patients. Of note, patients in the low exomiR-188-3p group had significantly worse OS compared with patients in the high exomiR-188-3p group (Figure 3d). Additionally, the lower expression of exomiR-188-3p was associated with shorter PFS in OC patients (Figure 3e). Based on these findings, we concluded that decreased exomiR-188-3p expression is associated with clinical progression of patients with OC and could be used as a prognostic biomarker.

3.4 The diagnostic values of exomiR-188-3p, CA125, and exomiR-188-3p + CA125 in patients with OC

As CA125 is widely employed for diagnosing OC, we evaluated and compared the diagnostic performance of CA125, exomiR-188-3p, and their combination using samples from 61 OC patients and 61 healthy controls. ROC curves showed that exomiR-188-3p, CA125, and exomiR-188-3p + CA125 in discriminating patients with OC from healthy subjects, the AUC values were 0.8983, 0.8087, and 0.9323, respectively (Figure 4a). When comparing FIGO stage IA–IIA OC patients with healthy controls, the AUC values of exomiR-188-3p, CA125, and exomiR-188-3p + CA125 were 0.8461, 0.6782, and 0.8925, respectively (Figure 4b). The exomiR-188-3p, CA125, and exomiR-188-3p + CA125 had AUC values of 0.7647, 0.8039, and 0.8301 in distinguishing OC patients with FIGO stage IA–IIA from FIGO stage IIB-IV, respectively (Figure 4c). Moreover, the AUC values of exomiR-188-3p, CA125, and exomiR-188-3p + CA125 in differentiating OC patients without metastasis from healthy controls were 0.8179, 0.6445, and 0.9120, respectively (Figure 4d). Meanwhile, the AUC values of exomiR-188-3p, CA125, and exomiR-188-3p + CA125 in distinguishing OC patients without metastasis from metastasis were 0.8271, 0.8371, and 0.8972, respectively (Figure 4e). The 95% confidence interval, sensitivity, and specificity of exomiR-188-3p, CA125, and exomiR-188-3p + CA125 are shown in Table S1. Overall, these findings indicated that exomiR-188-3p shows higher diagnostic efficacy than CA125 for early-stage OC, and the combination of exomiR-188-3p and CA125 provides enhanced benefits.

Figure 4 
                  Assessment and comparison of the diagnostic potential of CA125, exomiR-188-3p, and their combination using samples from 61 OC patients and 61 healthy controls. (a) ROC curves analysis of the diagnostic performance of exomiR-188-3p, CA125, and exomiR-188-3p + CA125 in discriminating patients with OC from healthy controls. (b) ROC curves for exomiR-188-3p, CA125, and exomiR-188-3p + CA125 in comparing OC patients at FIGO stage IA-IIA with healthy controls. (c) ROC curves for exomiR-188-3p, CA125, and exomiR-188-3p + CA125 in distinguishing OC patients at FIGO stage IA-IIA from OC patients at FIGO stage IIB-IV. (d) ROC curves for exomiR-188-3p, CA125, and exomiR-188-3p + CA125 in differentiating OC patients without metastasis from healthy controls. (e) ROC curves for exomiR-188-3p, CA125, and exomiR-188-3p + CA125 in separating OC patients without metastasis from OC patients with metastasis. CA125: carbohydrate antigen 125; ROC: receiver operating characteristic; AUC: area under the curve.
Figure 4

Assessment and comparison of the diagnostic potential of CA125, exomiR-188-3p, and their combination using samples from 61 OC patients and 61 healthy controls. (a) ROC curves analysis of the diagnostic performance of exomiR-188-3p, CA125, and exomiR-188-3p + CA125 in discriminating patients with OC from healthy controls. (b) ROC curves for exomiR-188-3p, CA125, and exomiR-188-3p + CA125 in comparing OC patients at FIGO stage IA-IIA with healthy controls. (c) ROC curves for exomiR-188-3p, CA125, and exomiR-188-3p + CA125 in distinguishing OC patients at FIGO stage IA-IIA from OC patients at FIGO stage IIB-IV. (d) ROC curves for exomiR-188-3p, CA125, and exomiR-188-3p + CA125 in differentiating OC patients without metastasis from healthy controls. (e) ROC curves for exomiR-188-3p, CA125, and exomiR-188-3p + CA125 in separating OC patients without metastasis from OC patients with metastasis. CA125: carbohydrate antigen 125; ROC: receiver operating characteristic; AUC: area under the curve.

3.5 Function and pathway enrichment analysis of target mRNAs of exomiR-188-3p

miRWalk version 3 was employed to predict the potential target mRNAs of exomiR-188-3p. After taking intersections of these predicted mRNAs, 125 mRNAs were selected as the targets of exomiR-188-3p for further enrichment analysis. GO enrichment analysis showed that “cellular biosynthetic process,” “RNA biosynthetic process,” and “nucleobase-containing compound metabolic process” were the top three enriched terms in BP term; the “ribosome,” “Golgi apparatus subcompartment,” and “organelle subcompartment” were the top three enriched terms in CC term; and the “sequence-specific DNA binding,” “DNA binding,” and “metal ion binding” were the top three enriched terms in MF term (Figure S2a–c). As displayed in Figure S2d, the top three enriched pathways and metabolic processes were the “NF-kappa B signaling pathway,” “Ether lipid metabolism,” and “Platinum drug resistance.”

4 Discussion

miRNAs in tissues present poor stability, but exosomes are a stable source of miRNAs in bodily fluids. exomiRNAs have been found to remain stable at −208°C for 5 years and to be resistant to freeze–thaw cycles. The exomiRNAs have been reported to participate in a wide range of biological and pathological processes and could be used as promising diagnostic and prognostic biomarkers in different diseases [21]. Recently, exomiRNA profiling of serum or plasma samples from cancer patients versus healthy individuals has revealed important differences in relation to tumor progression [22]. Therefore, understanding the potential of exomiRNAs in early diagnosis of OC is essential for improving survival time. In this study, we identified exomiR-188-3p from miRNAs microarray datasets of OC patients and proved that exomiR-188-3p was downregulated in patients with OC and OC cell lines. To our knowledge, this is the first study to identify a close relationship between exomiR-188-3p and OC. We further found that exomiR-188-3p could effectively separate OC, stage IA-IIA OC, and no metastatic OC from healthy controls. And low exomiR-188-3p expression was associated with shorter OS and PFS. These findings preliminarily demonstrated that exomiR-188-3p might serve as a novel diagnostic and prognostic biomarker for early-stage OC and might be associated with OC progression.

Previous few reports have identified that exomiRNAs could be used as diagnostic biomarkers for OC [23]. Plasma exomiR-205 is a valuable tumor biomarker for early diagnosis and an adjuvant indicator of OC staging [24]. Plasma-derived exomiR-4732-5p is a promising noninvasive diagnostic biomarker for epithelial OC [25]. Recently, Maeda et al. [26] found that serum exomiR-34a serves as a potential biomarker in epithelial OC. miR-188-3p is located on human Xp11.23 and is usually dysregulated in human diseases, such as nonobstructive azoospermia [27], hepatocellular carcinoma [28], diabetic nephropathy [29], and polycystic ovary syndrome [30]. In our study with 61 enrolled OC patients, decreased exomiR-188-3p expression was associated with advanced FIGO stage, lymph node metastasis, and distant metastasis, suggesting that exomiR-188-3p might be participated in the progression of OC. Therefore, detecting the expression of exomiR-188-3p in OC patients could assist in the assessment of OC progression. Consistent with our results, Research by Lin et al. [31] reported that a lower level of miR-188-3p is associated with tumor differentiation, lymph node metastasis, tumor node metastasis stage, and American Joint Committee on Cancer stage in gastric cancer. Furthermore, our findings demonstrated that exomiR-188-3p expression was not associated with histological subtype, tumor size, and tumor grade, suggesting that its expression might be independent of these factors. In addition, no correlation was observed between exomiR-188-3p expression and serum CA125 level, implying that they might be involved in different BPs in OC.

In clinical practice, when the AUC value is greater than 0.75, it indicates that the indicator has good diagnostic capability. Here, ROC curve analysis showed that exomiR-188-3p could significantly distinguish OC from healthy subjects with an AUC of 0.8983. In comparison to healthy controls, exomiR-188-3p exhibited good diagnostic performance with an AUC of 0.8461 and 0.8179 in OC patients with FIGO stage IA–IIA and OC patients without metastasis. Notably, the exomiR-188-3p expression showed higher AUC values than CA125 in diagnosing OC, stage IA–IIA OC, and no metastatic OC, with the most robust diagnostic accuracy achieved when combining exomiR-188-3p and CA125. Since CA125 has limited diagnostic value in the diagnosis of early-stage OC, combining exomiR-188-3p and CA125 could significantly improve the diagnostic efficacy. Our data supported that exomiR-188-3p could at least serve as an auxiliary biomarker for CA125 to improve the early diagnosis of OC. Whether it could stand alone as an independent biomarker for OC still needs to be validated in larger cohorts and requires addressing technical challenges in standardizing exosome isolation.

Aberrantly expressed miRNAs as prognostic markers have a broad prospect. In this study, we evaluated the prognostic value of exomiR-188-3p and found that lowly exomiR-188-3p expression OC patients had much shorter OS and PFS than patients with high exomiR-188-3p expression OC patients, according to the Kaplan–Meier curves data. Consistent with our results, the prognostic value of miR-188-3p has been previously proven in several cancers. Low expression of miR-188-3p predicts a worse prognosis of gastric cancer [31]. Genome-wide miRNA analysis found that miR-188-3p is an independent prognostic factor in colorectal cancer patients [32]. These data suggested that low expression of exomiR-188-3p may serve as a potential biomarker for poor prognosis in OC. For OC patients with low expression of exomiR-188-3p, more intensive treatment regimens, such as combination chemotherapy or targeted therapy, may be required to overcome poor prognosis. Recent studies have emphasized the prognostic value of inflammatory markers in colorectal cancer [33,34,35]. Similar to colorectal cancer, systemic inflammatory markers serve as complementary predictive biomarkers for OC [36]. Given that miR-188-3p has an inflammatory regulatory function in several conditions [37], we speculated that combining miR-188-3p with inflammatory markers in the future will help reinforce the prognostic value of exomiR-188-3p in a broader biomarker development framework and multi-parameter diagnostic strategies.

miRNAs are key regulators of gene expression, functioning as either tumor suppressors or oncogenes depending on the target mRNAs. Therefore, it is important to gain a deeper understanding of the regulatory mechanisms of miR-188-3p. Here, 125 mRNAs were found as the potential targets of exomiR-188-3p by using the online tool miRWalk. Among the target mRNAs, CDK1, MAPK13, and SLC7A11 have been reported to be associated with OC prognosis [38,39,40]. Samec et al. [41] reported that CSNK2A1 promotes cellular migration and proliferation of OC in vitro and in vivo. Additionally, WBP11 is identified as an oncogenic splicing factor that contributes to malignant OC progression [42]. Additionally, KEGG analysis showed that the target mRNAs of exomiR-188-3p were not only enriched in the “NF-kappa B signaling pathway” but also involved in “ether lipid metabolism” and “platinum drug resistance,” which have been shown to be associated with OC in previous studies [43,44]. These results suggested that exomiR-188-3p is likely to be involved in various steps in OC progression.

There are several limitations for our study. There is no standardized protocol for exosome isolation, so different isolation methods may affect the quality and purity of exosomes, thereby affecting the expression of exomiR-188-3p. Our data were from a relatively small cohort; the potential ability of exomiR-188-3p as a biomarker for early-stage OC diagnosis needs further multi-center studies with large sample sizes. Given the relatively short follow-up, the relationship between exomiR-188-3p expression and OS, and as well as PFS of OC patients, warrants further investigation. The potential targets of exomiR-188-3p, including CDK1, MAPK13, SLC7A11, CSNK2A1, and WBP11 in OC cells, require validation through luciferase reporter, RNA-pull down, and RNA-binding protein immunoprecipitation experiments. In addition, the specific signaling pathways regulated by exomiR-188-3p in OC progression require more extensive studies in the future to be fully elucidated.

5 Conclusion

In summary, the newly identified serum-derived exomiR-188-3p was downregulated in patients with OC, and associated with advanced FIGO stage, lymph node metastasis, distant metastasis, and poor prognosis. The exomiR-188-3p might serve as a promising diagnostic biomarker for distinguishing early-stage OC patients with high sensitivity and specificity.

  1. Funding information: Not applicable.

  2. Author contributions: Mingyu Wang participated in the study conception and design, and prepared the drafting of the manuscript. Mingyu Wang, Wenwen Zhang, Guangyan Cheng, and Juan Xu participated in the sample collection, experiment, data collection, and statistical analysis. Pengpeng Qu made critical revisions to the manuscript. All authors have read and approved the final manuscript.

  3. Conflict of interest: The authors state no conflict of interest.

  4. Data availability statement: The datasets generated during and/or analyzed during the current study are available from the corresponding author upon reasonable request.

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Received: 2024-08-30
Revised: 2025-07-18
Accepted: 2025-07-22
Published Online: 2025-08-19

© 2025 the author(s), published by De Gruyter

This work is licensed under the Creative Commons Attribution 4.0 International License.

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  91. Molecular genotyping of multi-system rare blood types in foreign blood donors based on DNA sequencing and its clinical significance
  92. Exploring the role of succinyl carnitine in the association between CD39⁺ CD4⁺ T cell and ulcerative colitis: A Mendelian randomization study
  93. Dexmedetomidine suppresses microglial activation in postoperative cognitive dysfunction via the mmu-miRNA-125/TRAF6 signaling axis
  94. Analysis of serum metabolomics in patients with different types of chronic heart failure
  95. Diagnostic value of hematological parameters in the early diagnosis of acute cholecystitis
  96. Pachymaran alleviates fat accumulation, hepatocyte degeneration, and injury in mice with nonalcoholic fatty liver disease
  97. Decrease in CD4 and CD8 lymphocytes are predictors of severe clinical picture and unfavorable outcome of the disease in patients with COVID-19
  98. METTL3 blocked the progression of diabetic retinopathy through m6A-modified SOX2
  99. The predictive significance of anti-RO-52 antibody in patients with interstitial pneumonia after treatment of malignant tumors
  100. Exploring cerebrospinal fluid metabolites, cognitive function, and brain atrophy: Insights from Mendelian randomization
  101. Development and validation of potential molecular subtypes and signatures of ocular sarcoidosis based on autophagy-related gene analysis
  102. Widespread venous thrombosis: Unveiling a complex case of Behçet’s disease with a literature perspective
  103. Uterine fibroid embolization: An analysis of clinical outcomes and impact on patients’ quality of life
  104. Discovery of lipid metabolism-related diagnostic biomarkers and construction of diagnostic model in steroid-induced osteonecrosis of femoral head
  105. Serum-derived exomiR-188-3p is a promising novel biomarker for early-stage ovarian cancer
  106. Enhancing chronic back pain management: A comparative study of ultrasound–MRI fusion guidance for paravertebral nerve block
  107. Peptide CCAT1-70aa promotes hepatocellular carcinoma proliferation and invasion via the MAPK/ERK pathway
  108. Electroacupuncture-induced reduction of myocardial ischemia–reperfusion injury via FTO-dependent m6A methylation modulation
  109. Hemorrhoids and cardiovascular disease: A bidirectional Mendelian randomization study
  110. Cell-free adipose extract inhibits hypertrophic scar formation through collagen remodeling and antiangiogenesis
  111. HALP score in Demodex blepharitis: A case–control study
  112. Assessment of SOX2 performance as a marker for circulating cancer stem-like cells (CCSCs) identification in advanced breast cancer patients using CytoTrack system
  113. Risk and prognosis for brain metastasis in primary metastatic cervical cancer patients: A population-based study
  114. Comparison of the two intestinal anastomosis methods in pediatric patients
  115. Factors influencing hematological toxicity and adverse effects of perioperative hyperthermic intraperitoneal vs intraperitoneal chemotherapy in gastrointestinal cancer
  116. Endotoxin tolerance inhibits NLRP3 inflammasome activation in macrophages of septic mice by restoring autophagic flux through TRIM26
  117. Lateral transperitoneal laparoscopic adrenalectomy: A single-centre experience of 21 procedures
  118. Petunidin attenuates lipopolysaccharide-induced retinal microglia inflammatory response in diabetic retinopathy by targeting OGT/NF-κB/LCN2 axis
  119. Procalcitonin and C-reactive protein as biomarkers for diagnosing and assessing the severity of acute cholecystitis
  120. Factors determining the number of sessions in successful extracorporeal shock wave lithotripsy patients
  121. Development of a nomogram for predicting cancer-specific survival in patients with renal pelvic cancer following surgery
  122. Inhibition of ATG7 promotes orthodontic tooth movement by regulating the RANKL/OPG ratio under compression force
  123. A machine learning-based prognostic model integrating mRNA stemness index, hypoxia, and glycolysis‑related biomarkers for colorectal cancer
  124. Glutathione attenuates sepsis-associated encephalopathy via dual modulation of NF-κB and PKA/CREB pathways
  125. FAHD1 prevents neuronal ferroptosis by modulating R-loop and the cGAS–STING pathway
  126. Association of placenta weight and morphology with term low birth weight: A case–control study
  127. Investigation of the pathogenic variants induced Sjogren’s syndrome in Turkish population
  128. Nucleotide metabolic abnormalities in post-COVID-19 condition and type 2 diabetes mellitus patients and their association with endocrine dysfunction
  129. TGF-β–Smad2/3 signaling in high-altitude pulmonary hypertension in rats: Role and mechanisms via macrophage M2 polarization
  130. Ultrasound-guided unilateral versus bilateral erector spinae plane block for postoperative analgesia of patients undergoing laparoscopic cholecystectomy
  131. Profiling gut microbiome dynamics in subacute thyroiditis: Implications for pathogenesis, diagnosis, and treatment
  132. Delta neutrophil index, CRP/albumin ratio, procalcitonin, immature granulocytes, and HALP score in acute appendicitis: Best performing biomarker?
  133. Anticancer activity mechanism of novelly synthesized and characterized benzofuran ring-linked 3-nitrophenyl chalcone derivative on colon cancer cells
  134. H2valdien3 arrests the cell cycle and induces apoptosis of gastric cancer
  135. Prognostic relevance of PRSS2 and its immune correlates in papillary thyroid carcinoma
  136. Association of SGLT2 inhibition with psychiatric disorders: A Mendelian randomization study
  137. Motivational interviewing for alcohol use reduction in Thai patients
  138. Luteolin alleviates oxygen-glucose deprivation/reoxygenation-induced neuron injury by regulating NLRP3/IL-1β signaling
  139. Polyphyllin II inhibits thyroid cancer cell growth by simultaneously inhibiting glycolysis and oxidative phosphorylation
  140. Relationship between the expression of copper death promoting factor SLC31A1 in papillary thyroid carcinoma and clinicopathological indicators and prognosis
  141. CSF2 polarized neutrophils and invaded renal cancer cells in vitro influence
  142. Proton pump inhibitors-induced thrombocytopenia: A systematic literature analysis of case reports
  143. The current status and influence factors of research ability among community nurses: A sequential qualitative–quantitative study
  144. OKAIN: A comprehensive oncology knowledge base for the interpretation of clinically actionable alterations
  145. The relationship between serum CA50, CA242, and SAA levels and clinical pathological characteristics and prognosis in patients with pancreatic cancer
  146. Identification and external validation of a prognostic signature based on hypoxia–glycolysis-related genes for kidney renal clear cell carcinoma
  147. Engineered RBC-derived nanovesicles functionalized with tumor-targeting ligands: A comparative study on breast cancer targeting efficiency and biocompatibility
  148. Relationship of resting echocardiography combined with serum micronutrients to the severity of low-gradient severe aortic stenosis
  149. Effect of vibration on pain during subcutaneous heparin injection: A randomized, single-blind, placebo-controlled trial
  150. The diagnostic performance of machine learning-based FFRCT for coronary artery disease: A meta-analysis
  151. Comparing biofeedback device vs diaphragmatic breathing for bloating relief: A randomized controlled trial
  152. Serum uric acid to albumin ratio and C-reactive protein as predictive biomarkers for chronic total occlusion and coronary collateral circulation quality
  153. Multiple organ scoring systems for predicting in-hospital mortality of sepsis patients in the intensive care unit
  154. Single-cell RNA sequencing data analysis of the inner ear in gentamicin-treated mice via intraperitoneal injection
  155. Suppression of cathepsin B attenuates myocardial injury via limiting cardiomyocyte apoptosis
  156. Influence of sevoflurane combined with propofol anesthesia on the anesthesia effect and adverse reactions in children with acute appendicitis
  157. Identification of hub genes related to acute kidney injury caused by sevoflurane anesthesia and endoplasmic reticulum stress
  158. 10.1515/med-2025-1313
  159. 10.1515/med-2025-1316
  160. Health education pathway for individuals with temporary enterostomies using patient journey mapping
  161. 10.1515/med-2025-1321
  162. 10.1515/med-2025-1324
  163. 10.1515/med-2025-1325
  164. 10.1515/med-2025-1327
  165. 10.1515/med-2025-1331
  166. Effect of timing of cholecystectomy on weight loss after sleeve gastrectomy in morbidly obese individuals with cholelithiasis: a retrospective cohort study
  167. 10.1515/med-2025-1337
  168. 10.1515/med-2025-1347
  169. 10.1515/med-2025-1360
  170. Multiple sclerosis and type 1 diabetes: a Mendelian randomization study of European ancestry
  171. Rapid pathogen identification in peritoneal dialysis effluent by MALDI-TOF MS following blood culture enrichment
  172. Comparison of open and percutaneous A1 pulley release in pediatric trigger thumb: a retrospective cohort study
  173. Impact of combined diaphragm-lung ultrasound assessment on postoperative respiratory function in patients under general anesthesia recovery
  174. Review Articles
  175. The effects of enhanced external counter-pulsation on post-acute sequelae of COVID-19: A narrative review
  176. Diabetes-related cognitive impairment: Mechanisms, symptoms, and treatments
  177. Microscopic changes and gross morphology of placenta in women affected by gestational diabetes mellitus in dietary treatment: A systematic review
  178. Review of mechanisms and frontier applications in IL-17A-induced hypertension
  179. Research progress on the correlation between islet amyloid peptides and type 2 diabetes mellitus
  180. The safety and efficacy of BCG combined with mitomycin C compared with BCG monotherapy in patients with non-muscle-invasive bladder cancer: A systematic review and meta-analysis
  181. The application of augmented reality in robotic general surgery: A mini-review
  182. The effect of Greek mountain tea extract and wheat germ extract on peripheral blood flow and eicosanoid metabolism in mammals
  183. Neurogasobiology of migraine: Carbon monoxide, hydrogen sulfide, and nitric oxide as emerging pathophysiological trinacrium relevant to nociception regulation
  184. Plant polyphenols, terpenes, and terpenoids in oral health
  185. Laboratory medicine between technological innovation, rights safeguarding, and patient safety: A bioethical perspective
  186. End-of-life in cancer patients: Medicolegal implications and ethical challenges in Europe
  187. The maternal factors during pregnancy for intrauterine growth retardation: An umbrella review
  188. Intra-abdominal hypertension/abdominal compartment syndrome of pediatric patients in critical care settings
  189. PI3K/Akt pathway and neuroinflammation in sepsis-associated encephalopathy
  190. Screening of Group B Streptococcus in pregnancy: A systematic review for the laboratory detection
  191. Giant borderline ovarian tumours – review of the literature
  192. Leveraging artificial intelligence for collaborative care planning: Innovations and impacts in shared decision-making – A systematic review
  193. Cholera epidemiology analysis through the experience of the 1973 Naples epidemic
  194. Risk factors of frailty/sarcopenia in community older adults: Meta-analysis
  195. Supplement strategies for infertility in overweight women: Evidence and legal insights
  196. Scurvy, a not obsolete disorder: Clinical report in eight young children and literature review
  197. A meta-analysis of the effects of DBS on cognitive function in patients with advanced PD
  198. Protective role of selenium in sepsis: Mechanisms and potential therapeutic strategies
  199. Strategies for hyperkalemia management in dialysis patients: A systematic review
  200. C-reactive protein-to-albumin ratio in peripheral artery disease
  201. 10.1515/med-2025-1251
  202. 10.1515/med-2025-1330
  203. 10.1515/med-2025-1332
  204. Antibiotic prescribing patterns in general dental practice- a scoping review
  205. Clinical and medico-legal reflections on non-invasive prenatal testing
  206. Case Reports
  207. Delayed graft function after renal transplantation
  208. Semaglutide treatment for type 2 diabetes in a patient with chronic myeloid leukemia: A case report and review of the literature
  209. Diverse electrophysiological demyelinating features in a late-onset glycogen storage disease type IIIa case
  210. Giant right atrial hemangioma presenting with ascites: A case report
  211. Laser excision of a large granular cell tumor of the vocal cord with subglottic extension: A case report
  212. EsoFLIP-assisted dilation for dysphagia in systemic sclerosis: Highlighting the role of multimodal esophageal evaluation
  213. Molecular hydrogen-rhodiola as an adjuvant therapy for ischemic stroke in internal carotid artery occlusion: A case report
  214. Coronary artery anomalies: A case of the “malignant” left coronary artery and its surgical management
  215. Combined VAT and retroperitoneoscopy for pleural empyema due to nephro-pleuric fistula in xanthogranulomatous pyelonephritis
  216. 10.1515/med-2025-1362
  217. Rapid Communication
  218. Biological properties of valve materials using RGD and EC
  219. A single oral administration of flavanols enhances short-term memory in mice along with increased brain-derived neurotrophic factor
  220. Letter to the Editor
  221. Role of enhanced external counterpulsation in long COVID
  222. Expression of Concern
  223. Expression of concern “A ceRNA network mediated by LINC00475 in papillary thyroid carcinoma”
  224. Expression of concern “Notoginsenoside R1 alleviates spinal cord injury through the miR-301a/KLF7 axis to activate Wnt/β-catenin pathway”
  225. Expression of concern “circ_0020123 promotes cell proliferation and migration in lung adenocarcinoma via PDZD8”
  226. Corrigendum
  227. Corrigendum to “Empagliflozin improves aortic injury in obese mice by regulating fatty acid metabolism”
  228. Corrigendum to “Comparing the therapeutic efficacy of endoscopic minimally invasive surgery and traditional surgery for early-stage breast cancer: A meta-analysis”
  229. Corrigendum to “The progress of autoimmune hepatitis research and future challenges”
  230. Retraction
  231. Retraction of “miR-654-5p promotes gastric cancer progression via the GPRIN1/NF-κB pathway”
  232. Retraction of: “LncRNA CASC15 inhibition relieves renal fibrosis in diabetic nephropathy through downregulating SP-A by sponging to miR-424”
  233. Retraction of: “SCARA5 inhibits oral squamous cell carcinoma via inactivating the STAT3 and PI3K/AKT signaling pathways”
  234. Special Issue Advancements in oncology: bridging clinical and experimental research - Part II
  235. Unveiling novel biomarkers for platinum chemoresistance in ovarian cancer
  236. Lathyrol affects the expression of AR and PSA and inhibits the malignant behavior of RCC cells
  237. The era of increasing cancer survivorship: Trends in fertility preservation, medico-legal implications, and ethical challenges
  238. Bone scintigraphy and positron emission tomography in the early diagnosis of MRONJ
  239. Meta-analysis of clinical efficacy and safety of immunotherapy combined with chemotherapy in non-small cell lung cancer
  240. Special Issue Computational Intelligence Methodologies Meets Recurrent Cancers - Part IV
  241. Exploration of mRNA-modifying METTL3 oncogene as momentous prognostic biomarker responsible for colorectal cancer development
  242. Special Issue The evolving saga of RNAs from bench to bedside - Part III
  243. Interaction and verification of ferroptosis-related RNAs Rela and Stat3 in promoting sepsis-associated acute kidney injury
  244. The mRNA MOXD1: Link to oxidative stress and prognostic significance in gastric cancer
  245. Special Issue Exploring the biological mechanism of human diseases based on MultiOmics Technology - Part II
  246. Dynamic changes in lactate-related genes in microglia and their role in immune cell interactions after ischemic stroke
  247. A prognostic model correlated with fatty acid metabolism in Ewing’s sarcoma based on bioinformatics analysis
  248. Red cell distribution width predicts early kidney injury: A NHANES cross-sectional study
  249. Special Issue Diabetes mellitus: pathophysiology, complications & treatment
  250. Nutritional risk assessment and nutritional support in children with congenital diabetes during surgery
  251. Correlation of the differential expressions of RANK, RANKL, and OPG with obesity in the elderly population in Xinjiang
  252. A discussion on the application of fluorescence micro-optical sectioning tomography in the research of cognitive dysfunction in diabetes
  253. A review of brain research on T2DM-related cognitive dysfunction
  254. Metformin and estrogen modulation in LABC with T2DM: A 36-month randomized trial
  255. Special Issue Innovative Biomarker Discovery and Precision Medicine in Cancer Diagnostics
  256. CircASH1L-mediated tumor progression in triple-negative breast cancer: PI3K/AKT pathway mechanisms
Heruntergeladen am 20.12.2025 von https://www.degruyterbrill.com/document/doi/10.1515/med-2025-1266/html?lang=de
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