Journal

Cancer Genomics - Proteomics

Papers (37)

Restoration of ARID1A Protein in ARID1A-deficient Clear Cell Carcinoma of the Ovary Attenuates Reactivity to Cytotoxic T Lymphocytes

Clear cell carcinoma is a prevalent histological type of ovarian cancer in East Asia, particularly in Japan, known for its resistance to chemotherapeutic agents and poor prognosis. ARID1A gene mutations, commonly found in ovarian clear cell carcinoma (OCCC), contribute to its pathogenesis. Recent data revealed that the ARID1A mutation is related to better outcomes of cancer immunotherapy. Thus, this study aimed to investigate the immunotherapy treatment susceptibility of OCCC bearing ARID1A mutations. Expression of ARID1A was analyzed using western blotting in ovarian cancer cell lines. OCCC cell lines JHOC-9 and RMG-V were engineered to overexpress NY-ESO-1, HLA-A*02:01, and ARID1A. Sensitivity to chemotherapy and T cell receptor-transduced T (TCR-T) cells specific for NY-ESO-1 was assessed in ARID1A-restored cells compared to ARID1A-deficient wild-type cells. JHOC-9 cells and RMG-V cells showed no expression of ARID1A protein. Overexpression of ARID1A in JHOC-9 and RMG-V cells did not impact sensitivity to gemcitabine. While ARID1A overexpression decreased sensitivity to cisplatin in RMG-V cells, it had no such effect in JHOC-9 cells. ARID1A overexpression reduced the reactivity of NY-ESO-1-specific TCR-T cells, as observed by the IFNγ ESLIPOT assay. Cancer immunotherapy is an effective approach to target ARID1A-deficient clear cell carcinoma of the ovary.

Multisite Tumor Sampling Reveals Extensive Heterogeneity of Tumor and Host Immune Response in Ovarian Cancer

Ovarian cancer (OVCA) is characterized by genomic/molecular intra-patient heterogeneity (IPH). Tissue histology and morphological features are surrogates of the underlying genomic/molecular contexture. We assessed the morphological IPH of OVCA tumor compartments and of lymphocytic infiltrates in multiple matched samples per patient. We examined 294 hematoxylin & eosin (H&E) OVCA tumor whole sections from 70 treatment-naïve patients who had undergone cytoreductive surgery. We assessed morphological subtypes as immunoreactive (IR), solid - proliferative (SD), papilloglandular (PG), and mesenchymal transition (MT); subtype load per patient; stromal tumor-infiltrating lymphocyte (sTIL) density as average per sample; and, as maximal sTIL values (max-TILs) among all samples per patient, ovaries and implants. Among all 294 tumor sections, the most frequent primary morphological subtype was PG (n=150, 51.0%), followed by MT (71, 24.1%), SD (48, 16.3%) and IR (15, 5.1%). Subtype combinations were observed in 67/294 sections (22.8%) and IPH in 48/70 patients (68.6%). PG prevailed in ovaries (p<0.001), SD and MT in implants (p=0.023 and p<0.001, respectively). sTILs were higher in SD compared to non-SD (p=0.019) and lower in PG, respectively (p<0.001). sTIL density was higher in implants than in ovaries (p<0.001). Higher max-TILs were associated with stage IV disease (p=0.043), upper abdominal dissemination (p=0.024), endometrioid histology (p=0.013), and grade 3 tumors (p=0.021). Favorable prognosticators were higher max-TILs per patient (PFS, OS) and higher SD-load (PFS). Clinically relevant morphological and host immune-response IPH appear to be the norm in OVCA. This may complicate efforts to decipher sensitivity of the tumor to certain treatment modalities from a single pre-operative biopsy.

Invasive Stratified Mucin-producing Carcinoma (ISMC) of the Uterine Cervix: Clinicopathological and Molecular Characteristics With Special Emphasis on the First Description of Consistent Programmed Death-ligand 1 (PD-L1) Over-expression

Invasive stratified mucin-producing carcinoma (ISMC) of the uterine cervix has been reported to be more aggressive than other subtypes of endocervical adenocarcinoma. We investigated the clinicopathological and molecular characteristics of eight ISMCs. We reviewed the electronic medical records and pathology slides of eight patients with ISMC and conducted programmed death-ligand 1 (PD-L1) immunostaining and targeted sequencing. The patients were between 31 and 54 years. Six tumors were pure ISMCs, and two showed co-existing squamous cell carcinoma and usual-type endocervical adenocarcinoma. Lymph node metastases were detected in three cases. Three patients developed distant metastases to the adnexa, lungs, inguinal lymph nodes, and small intestine. Two patients experienced disease progression, and three developed postoperative local recurrences. All tumors showed PD-L1 over-expression, with a mean combined positive score of 73.8 (range=30-100). One tumor harbored erb-b2 receptor tyrosine kinase 2 amplification. ISMC of the uterine cervix exhibits a high risk of recurrence, metastasis, and resistance to chemoradiation therapy. PD-L1 over-expression was consistently observed in all ISMCs. This finding raises the possibility that patients with ISMC may benefit from PD-L1 immunotherapy.

Quantitative Proteomic Analysis of Cervical Cancer Tissues Identifies Proteins Associated With Cancer Progression

To date, several proteomics studies in cervical cancer (CC) have focused mainly on squamous cervical cancer (SCC). Our study aimed to discover and clarify differences in SCC and CAD that may provide valuable information for the identification of proteins involved in tumor progression, in CC as a whole, or specific for SCC or CAD. Total protein extracts from 15 individual samples corresponding to 5 different CC tissue types were compared with a non-cancerous control group using bidimensional liquid chromatography-mass spectrometry (2D LC-MS/MS), isobaric tags for relative and absolute quantitation (ITRAQ), principal component analysis (PCA) and gene set enrichment analysis (GSEA). A total of 622 statistically significant different proteins were detected. Exocytosis-related proteins were the most over-represented, accounting for 25% of the identified and quantified proteins. Based on the experimental results, reticulocalbin 3 (RCN3) and Ras-related protein Rab-14 (RAB14) were chosen for further downstream in vitro and vivo analyses. RCN3 was overexpressed in all CC tissues compared to the control and RAB14 was overexpressed in squamous cervical cancer (SCC) compared to invasive cervical adenocarcinoma (CAD). In the tumor xenograft experiment, RAB14 protein expression was positively correlated with increased tumor size. In addition, RCN3-expressing HeLa cells induced a discrete size increment compared to control, at day 47 after inoculation. RAB14 and RCN3 are suggested as potential biomarkers and therapeutic targets in the treatment of CC.

Suppressing Expression of SERPINE1/PAI1 Through Activation of GPER1 Reduces Progression of Vulvar Carcinoma

The serine proteinase inhibitor 1 (SERPINE1) gene codes for the plasminogen activator inhibitor 1 (PAI1) protein and is thought to play a tumor supportive role in various cancers. In this work we aimed to uncover the role PAI1 plays in the proliferation, migration, and invasion of vulvar cancer (VC), and define the protein's function as an oncogene or tumor suppressor. Through treatment with an agonist (G1) and antagonist (G36) of G-coupled estrogen receptor 1 (GPER1), an upstream regulator of SERPINE1 expression, and a forward transfection knockdown protocol, the expression of SERPINE1/PAI1 in VC cells was altered. The effects these altered SERPINE1/PAI1 levels had on tumor cell functions were then examined. Proliferation was analyzed using the resazurin assay, while migration was studied via the gap closure assay. Through colony- and tumor sphere- formation assays clonogenicity was tested, and western blots showed protein expression. In A431 VC cells, when the levels of PAI1 were reduced via knockdown or treatment with G1, migration, proliferation, and colony growth was reduced. Treatment with G36 increased expression of PAI1 and increased migration and colony size in CAL39 cells. Based on the findings in this study, suppressing PAI1 expression in VC cells appears to reduce their progression and tumorigenic potential. Therefore, PAI1 could possibly function as an oncogene in VC. GPER1 appears to be a suitable target for suppressing PAI1 in VC.

G Protein-coupled Estrogen Receptor 1 (GPER1) Regulates Expression ofSERPINE1/PAI-1 and Inhibits Tumorigenic Potential of Cervical Squamous Cell Carcinoma CellsIn Vitro

G protein-coupled estrogen receptor 1 (GPER1) appears to play a tumor-suppressive role in cervical squamous cell carcinoma (CSCC)GPER1 suppression leads to significantly increased expression of serpin family E member 1 (SERPINE1)/protein plasminogen activator inhibitor type 1 (PAI-1). The question arises, what role does SERPINE1/PAI-1 play in GPER1-dependent tumorigenic potential of CSCC. SiHa and C33A CSCC cells were treated with GPER1 agonist G1 or antagonist G36. SERPINE1/PAI-1 expression was suppressed by RNAi and success was confirmed by RT-qPCR. Protein expression of PAI-1 was quantified by Western blot. Viability was analyzed using resazurin assay, while migration was investigated using gap closure. Colony and tumor sphere formation were used to test clonogenicity. After G1 treatment, viability of SiHa and C33A cells remained unchanged. Cell migration was dose-dependently reduced. SiHa and C33A cells formed significantly fewer and smaller colonies as well as spheroids. Furthermore, treatment with G1 led to decreased expression of SERPINE1/PAI-1, while blockade of GPER1 with G36 resulted in significantly increased SERPINE1/PAI-1 expression. After suppression of SERPINE1/PAI-1 in SiHa cells using RNAi, cell viability remained unaffected; however, significantly smaller colonies were formed, and fewer and smaller spheroids were developed. Cell migration remained unaffected. Activation of GPER1 reduces clonogenicity and migration of CSCC cells and suppresses expression of SERPINE1/PAI-1. Suppression of SERPINE1/PAI-1 in CSCC cells reduces tumorigenic potential. GPER1 may be a suitable target for suppression of SERPINE1/PAI-1 in CSCC. However, SERPINE1/PAI-1 does not appear to be the decisive factor for GPER1-regulated cell migration.

G-Protein-coupled Estrogen Receptor 1 (GPER1) Overexpression Affects Aggressiveness of Cervical Carcinoma Cells Depending on Histological Entity

Cervical cancer (CC) is the fourth most common cancer in women worldwide. There are two main histological subtypes of CC: the more common cervical squamous cell carcinoma (CSCC) and the rarer cervical adenocarcinoma (CAC), which has a poorer prognosis. Unlike estrogen receptor (ER) α and ERβ, G-protein-coupled estrogen receptor 1 (GPER1) is recognized as a rapid mediator of cellular estrogenic action and tends to have tumor suppressive properties in CC. Since a clinical study showed that an elevated GPER1 expression is associated with a worse prognosis, we investigated the effects of stable GPER1 overexpression (GPER1-OE) on SiHa CSCC and HeLa CAC cells. SiHa CSCC and HeLa CAC cells with stable GPER1-OE were generated. GPER1-OE was tested by RT-qPCR, western blot and fluorescence-activated cell analysis (FACS). The effects of GPER1-OE on proliferation, migration, invasion, apoptosis and stem cell properties (colony and sphere formation) were then examined. Successful GPER1-OE in SiHa CSCC and HeLa CAC cells was confirmed. The cell characterization experiments showed that SiHa CSCC cells with stable GPER1-OE had faster proliferation and migration, and increased stem cell properties with larger and more numerous colonies and larger tumor spheres. In HeLa CAC cells, on the other hand, GPER1-OE resulted in slower cell proliferation, migration and invasion, reduced colony formation and tumor sphere formation. An increased rate of apoptosis was also observed. GPER1-OE resulted in a more aggressive tumor behavior of SiHa CSCC cells and a less aggressive tumor behavior of HeLa CAC cells, due to a different effect of GPER1 overexpression depending on the respective histological subtypes of CC. This underlines the need for personalized medicine and a precise differentiation of subtypes in CC-related research.

Expression of “Hallmarks of Cancer” Genes in Cervical Carcinoma Is Differentially Affected by GPER1 Overexpression Depending on Histologic Entity

Cervical cancer (CC) remains the fourth most common malignancy in women worldwide. Current treatments primarily consist of surgery and combined radiochemotherapy, while targeted therapies, as seen in other malignancies, remain underdeveloped. The G-protein-coupled estrogen receptor (GPER1) is implicated in various cancers and can differentially influence tumor behavior, though its precise role in CC remains unclear, with both tumor-promoting and tumor-suppressive effects reported. We previously explored the impact of stable GPER1 overexpression (OE) in CC cell lines, SiHa (cervical squamous cell carcinoma, CSCC) and HeLa (cervical adenocarcinoma, CAC), analyzing proliferation, migration, invasion, apoptosis, and stem cell properties. GPER1-OE enhanced tumorigenic properties in CSCC cells but demonstrated tumor-suppressive effects in CAC cells. To investigate the underlying mechanisms, we conducted next-generation sequencing (NGS) analyses, which supported our earlier findings. SiHa CSCC and HeLa CAC cells with stable GPER1-OE were generated. The effects of GPER1-OE on gene expression were then examined using next-generation sequencing (NGS) analyses. In CSCC cells, GPER1-OE upregulated genes involved in tumorigenic pathways, including epithelial-to-mesenchymal transition (EMT), mTOR-C1, Myc, p53, hypoxia, and angiogenesis signaling. In CAC cells, however, GPER1-OE downregulated these pathways, along with additional pathways such as KRAS, Hedgehog, TNFα ( The results highlight the divergent roles of GPER1-OE in CC cells, promoting oncogenesis in CSCC while exerting tumor-suppressive effects in CAC by modulating oncogenic signaling pathways.

Characterization of the Genomic Landscape in HPV-positive Cervical and Head and Neck Squamous Cell Carcinomas by Whole Genome Next Generation Sequencing

In this study, we provide a comprehensive characterization of HPV-positive primary cervical cancers (CC) and HPV-positive head and neck squamous cell carcinomas (HNSCC) through whole genome next-generation sequencing. Human papillomavirus (HPV) infection, recognized as a definitive human carcinogen, is increasingly acknowledged for its role in development of human cancers. HPV-driven cervical cancers are among the leading causes of cancer-related deaths worldwide, while HPV-driven head and neck cancers exhibit distinct biological and clinical characteristics. Recent data has provided convincing evidence that HPV-related cervical cancer, like HPV head and neck cancer also predict better outcomes, with viral integration patterns further predicting disease related outcomes. We designed an experimental study that encompasses four pairs of HPV-positive patient samples with controls, utilizing state-of-the-art Next Generation Sequencing (NGS) technology including whole genome sequencing, transcriptome sequencing and virus integration. Multiple mutated genes, including TTN, COL6A3, and FLNA, were identified shared between CC and HNSCC. Additionally, we observed a notable proportion of pathways affected by oncogenic alterations, particularly in the RTK-RAS and NOTCH pathways, in both CC and HNSCC. Furthermore, we discovered a shared down-regulation of the Hedgehog signaling pathway based on transcriptome expression analysis in KEGG. We also identified RUNX2 and TFPI as sites of virus integration, and upstream as well as downstream pathway modulators, and represent potential targets for therapeutic interventions. Overall, this study showed a thorough comparison between CC and HNSCC from multiple aspects, including gene variations, oncogenic pathways, KEGG enrichment and virus integration sites. However, further studies, which involve larger patient cohorts should be undertaken to further support these findings.

Copy Number Variations (CNVs) Account for 10.8% of Pathogenic Variants in Patients Referred for Hereditary Cancer Testing

Germline copy number variation (CNV) is a type of genetic variant that predisposes significantly to inherited cancers. Today, next-generation sequencing (NGS) technologies have contributed to multi gene panel analysis in clinical practice. A total of 2,163 patients were screened for cancer susceptibility, using a solution-based capture method. A panel of 52 genes was used for targeted NGS. The capture-based approach enables computational analysis of CNVs from NGS data. We studied the performance of the CNV module of the commercial software suite SeqPilot (JSI Medical Systems) and of the non-commercial tool panelcn.MOPS. Additionally, we tested the performance of digital multiplex ligation-dependent probe amplification (digitalMLPA). Pathogenic/likely pathogenic variants (P/LP) were identified in 464 samples (21.5%). CNV accounts for 10.8% (50/464) of pathogenic variants, referring to deletion/duplication of one or more exons of a gene. In patients with breast and ovarian cancer, CNVs accounted for 10.2% and 6.8% of pathogenic variants, respectively. In colorectal cancer patients, CNV accounted for 28.6% of pathogenic/likely pathogenic variants. In silico CNV detection tools provide a viable and cost-effective method to identify CNVs from NGS experiments. CNVs constitute a substantial percentage of P/LP variants, since they represent up to one of every ten P/LP findings identified by NGS multigene analysis; therefore, their evaluation is highly recommended to improve the diagnostic yield of hereditary cancer analysis.

A Multiplex Biomarker Assay Improves the Prediction of Survival in Epithelial Ovarian Cancer

Epithelial ovarian cancer (EOC) is usually diagnosed in advanced stages and has a high mortality rate. In this study, we used the proximity extension assay from Olink Proteomics to search for new plasma protein biomarkers to predict overall survival (OS) in patients with EOC. Peripheral blood samples were obtained preoperatively from 116 EOC patients undergoing primary debulking surgery: 28 early EOC cases (FIGO stage I-II) and 88 advanced EOC cases (FIGO stage III-IV). Proteins were measured using the Olink Oncology II and Inflammation panels. In total, 177 unique protein biomarkers were analysed. Cross-validation and LASSO regression were combined to select prediction models for OS. The model including age and the three-biomarker combination of neurotrophin-3 (NT-3)+transmembrane glycoprotein NMB (GPNMB)+mesothelin (MSLN) predicted worse OS with AUC=0.79 (p=0.004). Adding cancer antigen 125 (CA125) and human epididymis protein 4 (HE4) to the model further improved performance (AUC=0.83; p=0.003). In a postoperative model including age and stage (III+IV vs. I+II), the three-biomarker panel of chemokine (C-C motif) ligand 28 (CCL28)+T-cell leukaemia/lymphoma protein 1A (TCL1A)+GPNMB improved the prediction of OS (from AUC=0.83 to AUC=0.90; p=0.05). In the postoperative model including age and dichotomized stage (III vs. I+II), the biomarkers CCL28 and GPNMB1 improved the prediction of OS (AUC=0.86; p<0.001). The combination of high levels of both CA125 and HE4 predicted worse survival (p=0.05). In this explorative study evaluating the performance of plasma protein biomarkers in predicting OS, we found that adding biomarkers, especially NT-3, to the panel improved the prediction of OS.

SNHG3/WISP2 Axis Promotes Hela Cell Migration and InvasionviaActivating Wnt/β-Catenin Signaling

Cervical cancer (CC) poses a significant threat to women's health and has a relatively poor prognosis due to local invasion and metastasis. It is, therefore, crucial to elucidate the molecular mechanisms of CC metastasis. SNHG3 has been implicated in various tumor metastasis processes, but its involvement in CC has not been thoroughly studied. Our study aimed to investigate the role of SNHG3 in metastasis and elucidate its underlying mechanisms in CC. LncRNA SNHG3 expression in CC tissues was analyzed using TCGA and GSE27469 databases. Normal cervical epithelial cells and CC cell lines were used to detect mRNA expression of SNHG3 via quantitative reverse transcription polymerase chain reaction (qRT-PCR). With RNA interference (RNAi) technology, antisense oligonucleotides (ASO) can act on HeLa cells to knockdown target gene expression. The influence of SNHG3 on cell migration and invasion were determined by wound healing and transwell assays. Transcriptome sequencing (RNA-seq) was used to seek abnormally expressed genes between SNHG3 knockdown cells and control cells. The expressions of epithelial-mesenchymal transition (EMT) and Wnt/β-catenin signaling related proteins were detected using western blot. SNHG3 was obviously up-regulated in CC tissues and cell lines, and ectopic expression of SNHG3 was associated with lymph node metastasis of CC. Knockdown of SNHG3 significantly inhibited cell migration and invasion in CC. Further molecular mechanism studies showed that SNHG3 knockdown could down-regulate the expression of WNT1 Inducible Signaling Pathway Protein 2 (WISP2) so as to inhibit the activation of the Wnt/β-catenin signaling pathway, and regulated the expression of EMT-related markers, that promoted the protein expression of E-cadherin, as well as decreased the expression of N-cadherin and vimentin. SNHG3 appears to exert a pro-metastatic effect in CC, as evidenced by inhibition of cell migration and invasion upon SNHG3 knockdown. EMT also appears to be attenuated. Of interest is the down-regulation of WISP2 following SNHG3 knockdown leads to the inactivation of the Wnt/β-catenin signaling pathway.

Bioinformatics Analysis of Novel Targets for Treating Cervical Cancer by Immunotherapy Based on Immune Escape

Cervical cancer (CC) is a high-risk disease in women, and advanced CC can be difficult to treat even with surgery, radiotherapy, and chemotherapy. Hence, developing more effective treatment methods is imperative. Cancer cells undergo a renewal process to escape immune surveillance and then attack the immune system. However, the underlying mechanisms remain unclear. Currently, only one immunotherapy drug has been approved by the Food and Drug Administration for CC, thus indicating the need for and importance of identifying key targets related to immunotherapy. Data on CC and normal cervical tissue samples were downloaded from the National Center for Biotechnology Information database. Transcriptome Analysis Console software was used to analyze differentially expressed genes (DEGs) in two sample groups. These DEGs were uploaded to the DAVID online analysis platform to analyze biological processes for which they were enriched. Finally, Cytoscape was used to map protein interaction and hub gene analyses. A total of 165 up-regulated and 362 down-regulated genes were identified. Among them, 13 hub genes were analyzed in a protein-protein interaction network using the Cytoscape software. The genes were screened out based on the betweenness centrality value and average degree of all nodes. The hub genes were as follows: ANXA1, APOE, AR, C1QC, CALML5, CD47, CTSZ, HSP90AA1, HSP90B1, NOD2, THY1, TLR4, and VIM. We identified the following 12 microRNAs (miRNAs) that target the hub genes: hsa-miR-2110, hsa-miR-92a-2-5p, hsa-miR-520d-5p, hsa-miR-4514, hsa-miR-4692, hsa-miR-499b-5p, hsa-miR-5011-5p, hsa-miR-6847-5p, hsa-miR-8054, hsa-miR-642a-5p, hsa-miR-940, and hsa-miR-6893-5p. Using bioinformatics, we identified potential miRNAs that regulated the cancer-related genes and long noncoding RNAs (lncRNAs) that regulated these miRNAs. We further elucidated the mutual regulation of mRNAs, miRNAs, and lncRNAs involved in CC occurrence and development. These findings may have major applications in the treatment of CC by immunotherapy and the development of drugs against CC.

MiR-575 in Exosomes of Vaginal Discharge Is Downregulated in Ovarian Cancer Patients

Ovarian cancer is asymptomatic in its early stages, and often diagnosed at advanced stages, leading to a high recurrence rate. In recent years, exosomes have been shown to be useful for early-detection, prognosis prediction, and treatment of cancer. Although many studies of cancer-related exosomes using other bodily fluids have been reported, there are few studies examining vaginal discharge, but none related to ovarian cancer. In this study, we investigated a method for early-detection of ovarian cancer using vaginal discharge, which are physically close to the fallopian tubes, where ovarian cancer originates, and can be easily collected from outside the body. Vaginal discharge was collected from 30 patients with ovarian cancer and 29 patients with benign gynecological diseases, and exosomal miRNAs were extracted. Samples from each group were submitted to miRNA microarray in order to examine miRNAs with significant differences in expression levels. We further narrowed down the list to four miRNAs based on literature and microarray data and examined the expression levels of miRNAs in the malignant and benign groups by RT-qPCR. MiR-575 expression was significantly decreased in the malignant group compared to the benign group ( This is the first study to investigate exosomal miRNAs in vaginal discharge of ovarian cancer. Exosomal miR-575 in vaginal discharge may be used as a biomarker for ovarian cancer.

TMED9Expression Level as a Biomarker of Epithelial Ovarian Cancer Progression and Prognosis

Transmembrane emp24 domain-containing protein 9 (TMED9) belongs to the TMED/p24 family that transports, modifies, and packs proteins and lipids into vesicles for delivery to specific locations and is important in innate immune signaling via the endoplasmic reticulum-Golgi cargo pathway. TMED9 has been implicated in various cancer types; however, its role in epithelial ovarian cancer (EOC) is unclear. In this study, we aimed to elucidate the role and clinical significance of TMED9 in EOC. mRNA and protein levels of TMED9 and their associations with clinicopathological features in EOCs were evaluated using RNA-sequencing and immunohistochemistry data. Functional studies assessing the tumorigenic role of TMED9 in EOC cell lines were also performed. The mRNA expression of TMED9 was up-regulated in EOC compared to that in normal ovarian epithelium. TMED9 protein expression increased in progression from normal ovarian epithelium to EOC (p<0.001). Moreover, high expression of TMED9 was associated with advanced stage, serous cell type and poor histological grade in EOC and demonstrated independent prognostic significance for both disease-free and overall survival. Further functional studies showed that TMED9 knockdown reduced migration, invasion, cell proliferation, and colony formation of EOC cells. Overall, our results support the use of TMED9 as a valuable prognostic biomarker and provide evidence for targeting of TMED9 as a novel strategy for EOC treatment.

Publisher

International Institute of Anticancer Research

ISSN

1109-6535