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  1. Article ; Online: Identification and validation of TME-related signatures to predict prognosis and response to anti-tumor therapies in skin cutaneous melanoma.

    Lian, Wenqin / Zheng, Xiao

    Functional & integrative genomics

    2023  Volume 23, Issue 2, Page(s) 153

    Abstract: The tumor microenvironment (TME) dynamically regulates cancer progression and affects clinical outcomes. This study aimed to identify molecular subtypes and construct a prognostic risk model based on TME-related signatures in skin cutaneous melanoma ( ... ...

    Abstract The tumor microenvironment (TME) dynamically regulates cancer progression and affects clinical outcomes. This study aimed to identify molecular subtypes and construct a prognostic risk model based on TME-related signatures in skin cutaneous melanoma (SKCM) patients. We categorized SKCM patients based on transcriptome data of SKCM from The Cancer Genome Atlas (TCGA) database and 29 TME-related gene signatures. Differentially expressed genes were identified using univariate Cox regression and Lasso regression analysis, which were used for risk model construction. The robustness of this model was validated in independent external cohorts. Genetic landscape alterations, immune characteristics, and responsiveness to immunotherapy/chemotherapy were evaluated. Three TME-related subtypes were identified, and subtype C3 exhibited the most favorable prognosis, had enriched immune-related pathways, and possessed more infiltration of T_cells_CD8, T_cells_CD4_memory_activated, and Macrophages_M1 but a lower TumorPurity, whereas Macrophages_M2 were increased in subtype C1 and subtype C2. Subtype C1 was more sensitive to Cisplatin, subtype C2 was more sensitive to Temozolomide, and subtype C3 was more sensitive to Paclitaxel; 8 TME-related genes (NOTCH3, HEYL, ZNF703, ABCC2, PAEP, CCL8, HAPLN3, and HPDL) were screened for risk model construction. High-risk patients had dismal prognosis with good prediction performance. Moreover, low-risk patients were more sensitive to Paclitaxel and Temozolomide, whereas high-risk patients were more sensitive to Cisplatin. This risk model had robustness in predicting prognosis in SKCM patients. The results facilitate the understanding of TME-related genes in SKCM and provide a TME-related genes-based predictive model in prognosis and direction of personalized options for SKCM patients.
    MeSH term(s) Humans ; Melanoma/drug therapy ; Melanoma/genetics ; Skin Neoplasms/drug therapy ; Skin Neoplasms/genetics ; Temozolomide ; Cisplatin ; Tumor Microenvironment ; Carrier Proteins ; Melanoma, Cutaneous Malignant
    Chemical Substances Temozolomide (YF1K15M17Y) ; Cisplatin (Q20Q21Q62J) ; ZNF703 protein, human ; Carrier Proteins
    Language English
    Publishing date 2023-05-09
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 2014670-X
    ISSN 1438-7948 ; 1438-793X
    ISSN (online) 1438-7948
    ISSN 1438-793X
    DOI 10.1007/s10142-023-01051-x
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  2. Article: METTL3/

    Xiong, Jian / Lian, Wenqin / Zhao, Rui / Gao, Kefei

    OncoTargets and therapy

    2024  Volume 17, Page(s) 85–97

    Abstract: Background: Studies increasingly recognize the role of N6-methyladenosine (: Methods: In this study, GEPIA 2.0 database was applied for expression analysis, survival analysis and correlation analysis for OC. Additionally, in vitro and in vivo assays ... ...

    Abstract Background: Studies increasingly recognize the role of N6-methyladenosine (
    Methods: In this study, GEPIA 2.0 database was applied for expression analysis, survival analysis and correlation analysis for OC. Additionally, in vitro and in vivo assays were conducted to explore regulatory mechanisms of METTL3 in OC.
    Results: We found that METTL3 and
    Conclusion: In conclusion, METTL3 was a carcinogenic molecule that promoted the occurrence of OC. The potential mechanism of the carcinogenic effect of METTL3 was realized by enhancing the m6A modification of
    Language English
    Publishing date 2024-02-08
    Publishing country New Zealand
    Document type Journal Article
    ZDB-ID 2495130-4
    ISSN 1178-6930
    ISSN 1178-6930
    DOI 10.2147/OTT.S431810
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  3. Article ; Online: Single-cell RNA Sequencing Analysis Reveals the Role of Cancer-associated Fibroblasts in Skin Melanoma.

    Lian, Wenqin / Xiang, Pan / Ye, Chunjiang / Xiong, Jian

    Current medicinal chemistry

    2024  

    Abstract: Aims: Mechanism of fibroblasts in skin melanoma (SKME) revealed by single-cell RNA sequencing data.: Background: SKME is responsible for more than 80% of skin-related cancer deaths. Cancer-associated fibroblasts (CAFs) generate inflammatory factors, ... ...

    Abstract Aims: Mechanism of fibroblasts in skin melanoma (SKME) revealed by single-cell RNA sequencing data.
    Background: SKME is responsible for more than 80% of skin-related cancer deaths. Cancer-associated fibroblasts (CAFs) generate inflammatory factors, growth factors and extracellular matrix proteins to facilitate cancer cell growth, metastasis, drug resistance and immune exclusion. However, molecular mechanisms of CAFs in SKME are still lacking.
    Objective: Our goal was to reveal the role of CAFs in SKME.
    Methods: We downloaded the single-cell RNA sequencing (scRNA-seq) dataset from the Gene Expression Omnibus (GSE215120) database. Then, the Seurat package was applied to analyze the single-cell atlas of SKME data, and cell subsets were annotated with the CellMarker database. The molecular mechanisms of CAFs in SKME were disclosed via differential gene expression and enrichment analysis, Cellchat and SCENIC methods.
    Results: Using scRNA-seq data, three SKME cases were used and downscaled and clustered to identify 11 cell subgroups and 5 CAF subsets. The enrichment of highly expressed genes among the 5 CAF subsets suggests that cell migration-inducing hyaluronan-binding protein (CEMIP) + fibroblasts and naked cuticle homolog 1 (NKD1) + fibroblasts were closely associated with epithelial to mesenchymal transition. Cellchat analysis revealed that CAF subpopulations promoted melanocyte proliferation through Jagged1 (JAG1)-Notch homolog 1 (NOTCH1), JAG1-NOTCH3 and migration through pleiotrophin (PTN)-syndecan-3 (SDC3) receptor-ligand pairs. The SCENIC analysis identified that most of the transcription factors in each CAF subpopulation played a certain role in the metastasis of melanoma and were highly expressed in metastatic SKME samples. Specifically, we observed that CEMIP+ fibroblasts and NKD1+ fibroblasts had potential roles in participating in immune therapy resistance. Collectively, we uncovered a single-- cell atlas of SKME and revealed the molecular mechanisms of CAFs in SKME development, providing a base for immune therapy and prognosis assessment.
    Conclusion: Our study reveals that 5 CAFs in SKME have a promoting effect on melanocyte proliferation and metastasis. More importantly, CEMIP+ fibroblasts and NKD1+ fibroblasts displayed close connections with immune therapy resistance. These findings help provide a good basis for future immune therapy and prognosis assessment targeting CAFs in SKME.
    Language English
    Publishing date 2024-01-03
    Publishing country United Arab Emirates
    Document type Journal Article
    ZDB-ID 1319315-6
    ISSN 1875-533X ; 0929-8673
    ISSN (online) 1875-533X
    ISSN 0929-8673
    DOI 10.2174/0109298673282799231211113347
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    Zs.A 4432: Show issues Location:
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  4. Article ; Online: Comprehensive analysis of the interaction of antigen presentation during anti-tumour immunity and establishment of AIDPS systems in ovarian cancer.

    Sun, Wenhuizi / Xu, Ping / Gao, Kefei / Lian, Wenqin / Sun, Xiang

    Journal of cellular and molecular medicine

    2024  Volume 28, Issue 8, Page(s) e18309

    Abstract: There are hundreds of prognostic models for ovarian cancer. These genes are based on different gene classes, and there are many ways to construct the models. Therefore, this paper aims to build the most stable prognostic evaluation system known to date ... ...

    Abstract There are hundreds of prognostic models for ovarian cancer. These genes are based on different gene classes, and there are many ways to construct the models. Therefore, this paper aims to build the most stable prognostic evaluation system known to date through 101 machine learning strategies. We combined 101 algorithm combinations with 10 machine learning algorithms to create antigen presentation-associated genetic markers (AIDPS) with outstanding precision and steady performance. The inclusive set of algorithms comprises the elastic network (Enet), Ridge, stepwise Cox, Lasso, generalized enhanced regression model (GBM), random survival forest (RSF), supervised principal component (SuperPC), Cox partial least squares regression (plsRcox), survival support vector machine (Survival-SVM). Then, in the train cohort, the prediction model was fitted using a leave-one cross-validation (LOOCV) technique, which involved 101 different possible combinations of prognostic genes. Seven validation data sets (GSE26193, GSE26712, GSE30161, GSE63885, GSE9891, GSE140082 and ICGC_OV_AU) were compared and analysed, and the C-index was calculated. Finally, we collected 32 published ovarian cancer prognostic models (including mRNA and lncRNA). All data sets and prognostic models were subjected to a univariate Cox regression analysis, and the C-index was calculated to demonstrate that the antigen presentation process should be the core criterion for evaluating ovarian cancer prognosis. In a univariate Cox regression analysis, 22 prognostic genes were identified based on the expression profiles of 283 genes involved in antigen presentation and the intersection of genes (p < 0.05). AIDPS were developed by our machine learning-based integration method, which was applied to these 22 genes. One hundred and one prediction models are fitted using the LOOCV framework, and the C-index is calculated for each model across all validation sets. Interestingly, RSF + Lasso was the best model overall since it had the greatest average C-index and the highest C-index of any combination of models tested on the validated data sets. In comparing external cohorts, we found that the C-index correlated AIDPS method using the RSF + Lasso method in 101 prediction models was in contrast to other features. Notably, AIDPS outperformed the vast majority of models across all data sets. Antigen-presenting anti-tumour immune pathways can be used as a representative gene set of ovarian cancer to track the prognosis of patients with cancer. The antigen-presenting model obtained by the RSF + Lasso method has the best C-INDEX, which plays a key role in developing antigen-presenting targeted drugs in ovarian cancer and improving the treatment outcome of patients.
    MeSH term(s) Humans ; Female ; Antigen Presentation/genetics ; Ovarian Neoplasms/genetics ; Algorithms ; Drug Delivery Systems
    Language English
    Publishing date 2024-04-08
    Publishing country England
    Document type Journal Article
    ZDB-ID 2074559-X
    ISSN 1582-4934 ; 1582-4934 ; 1582-1838
    ISSN (online) 1582-4934
    ISSN 1582-4934 ; 1582-1838
    DOI 10.1111/jcmm.18309
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  5. Article: Characteristics of patients with stage III and IV ovarian endometriomas and trends in postoperative anti-Mullerian hormone changes.

    Gao, Kefei / Lian, Wenqin / Zhao, Rui / Xiong, Jian

    Archives of medical science : AMS

    2023  Volume 19, Issue 3, Page(s) 800–804

    Abstract: Introduction: This study aimed to investigate the manifestations of postoperative Anti-Mullerian hormone (AMH) changes in patients with stage III and IV ovarian endometriomas.: Methods: Trends in postoperative AMH were categorized and described, and ... ...

    Abstract Introduction: This study aimed to investigate the manifestations of postoperative Anti-Mullerian hormone (AMH) changes in patients with stage III and IV ovarian endometriomas.
    Methods: Trends in postoperative AMH were categorized and described, and the risk factors for postoperative AMH decline were screened using dichotomous logistic regression.
    Results: The overall trend of postoperative AMH decreased, with a more significant decrease in stage IV than stage III cases. Elevated preoperative CA-125 levels, a history of caesarean section, and abortion were independent risk factors for postoperative AMH decline.
    Conclusions: There is a general trend toward decreasing AMH levels after surgery, but each case may also show a different elevation.
    Language English
    Publishing date 2023-05-24
    Publishing country Poland
    Document type Journal Article
    ZDB-ID 2203781-0
    ISSN 1734-1922
    ISSN 1734-1922
    DOI 10.5114/aoms/162114
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  6. Article ; Online: Human umbilical cord-derived mesenchymal stem cells and auto-crosslinked hyaluronic acid gel complex for treatment of intrauterine adhesion.

    Fan, Jiaying / Xie, Jingying / Liao, Yunsheng / Lai, Baoyu / Zhou, Guixin / Lian, Wenqin / Xiong, Jian

    Aging

    2024  Volume 16, Issue 7, Page(s) 6273–6289

    Abstract: Objective: The purpose of this study was to explore the therapeutic characteristics of mesenchymal stem cells generated from human umbilical cord (hUC-MSCs) when utilized in conjunction with auto-crosslinked hyaluronic acid gel (HA-gel) for the ... ...

    Abstract Objective: The purpose of this study was to explore the therapeutic characteristics of mesenchymal stem cells generated from human umbilical cord (hUC-MSCs) when utilized in conjunction with auto-crosslinked hyaluronic acid gel (HA-gel) for the management of intrauterine adhesion (IUA). The goal was to see how this novel therapy could enhance healing and improve outcomes for IUA patients.
    Methods: In this study, models of intrauterine adhesion (IUA) were established in Sprague-Dawley (SD) rats, which were then organized and divided into hUC-MSCs groups. The groups involved: hUC-MSCs/HA-gel group, control group, and HA-gel group. Following treatment, the researchers examined the uterine cavities and performed detailed analyses of the endometrial tissues to determine the effectiveness of the interventions.
    Results: The results indicated that in comparison with to the control group, both HA-gel, hUC-MSCs, and hUC-MSCs/HA-gel groups showed partial repair of IUA. However, in a more notable fashion transplantation of hUC-MSCs/HA-gel complex demonstrated significant dual repair effects. Significant outcomes were observed in the group treated with hUC-MSCs and HA-gel, they showed thicker endometrial layers, less fibrotic tissue, and a higher number of endometrial glands. This treatment strategy also resulted in a significant improvement in fertility restoration, indicating a profound therapeutic effect.
    Conclusions: The findings of this study suggest that both HA-gel, hUC-MSCs, and hUC-MSCs/HA-gel complexes have the potential for partial repair of IUA and fertility restoration caused by endometrium mechanical injury. Nonetheless, the transplantation of the hUC-MSCs/HA-gel complex displayed exceptional dual healing effects, combining effective anti-adhesive properties with endometrial regeneration stimuli.
    MeSH term(s) Hyaluronic Acid/pharmacology ; Hyaluronic Acid/chemistry ; Female ; Animals ; Mesenchymal Stem Cell Transplantation/methods ; Humans ; Rats, Sprague-Dawley ; Mesenchymal Stem Cells ; Rats ; Tissue Adhesions ; Umbilical Cord/cytology ; Uterine Diseases/therapy ; Gels ; Endometrium/drug effects ; Endometrium/cytology ; Disease Models, Animal
    Chemical Substances Hyaluronic Acid (9004-61-9) ; Gels
    Language English
    Publishing date 2024-04-01
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 1945-4589
    ISSN (online) 1945-4589
    DOI 10.18632/aging.205704
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  7. Article: The joint role of methylation and immune-related lncRNAs in ovarian cancer: Defining molecular subtypes and developing prognostic signature.

    Gao, Kefei / Lian, Wenqin / Zhao, Rui / Huang, Weiming / Xiong, Jian

    Translational oncology

    2023  Volume 34, Page(s) 101704

    Abstract: Introduction: Complex outcome of ovarian cancer (OC) stems from the tumor immune microenvironment (TIME) influenced by genetic and epigenetic factors. This study aimed to comprehensively explored the subclasses of OC through lncRNAs related to both N6- ... ...

    Abstract Introduction: Complex outcome of ovarian cancer (OC) stems from the tumor immune microenvironment (TIME) influenced by genetic and epigenetic factors. This study aimed to comprehensively explored the subclasses of OC through lncRNAs related to both N6-methyladenosine (m6A)/N1-methyladenosine (m1A)/N7-methylguanosine (m7G)/5-methylcytosine (m5C) in terms of epigenetic variability and immune molecules and develop a new set of risk predictive systems.
    Material and methods: The lncRNA data of OC were collected from TCGA. Spearman correlation analysis on lncRNA data of OC with immune-related gene expression and with m6A/m5C/m1A/m7G were respectively conducted. The m6A/m5C/m1A/m7G-related m6A/m5C/m1A/m7G related immune lncRNA subtypes were identified on the basis of the prognostic lncRNAs. Heterogeneity among subtypes was evaluated by tumor mutation analysis, tumor microenvironment (TME) component analysis, response to immune checkpoint blocked (ICB) and chemotherapeutic drugs. A risk predictive system was developed based on the results of Cox regression analysis and random survival forest analysis of the differences between each specific cluster and other clusters.
    Results: Three m6A/m5C/m1A/m7G-related immune lncRNA subtypes of OC showing distinct differences in prognosis, mutation pattern, TIME components, immunotherapy and chemotherapy response were identified. A set of risk predictive system consisting of 10 lncRNA for OC was developed, according to which the risk score of samples in each OC dataset was calculated and risk type was defined.
    Conclusions: This study classified three m6A/m5C/m1A/m7G-related immune lncRNA subtypes with distinct heterogeneous mutation patterns, TME components, ICB therapy and immune response, and provided a set of risk predictive system consisted of 10 lncRNA for OC.
    Language English
    Publishing date 2023-05-29
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2443840-6
    ISSN 1936-5233
    ISSN 1936-5233
    DOI 10.1016/j.tranon.2023.101704
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  8. Article ; Online: The predictive efficacy of programmed cell death in immunotherapy of melanoma: A comprehensive analysis of gene expression data for programmed cell death biomarker and therapeutic target discovery.

    Yue, Chao / Lian, Wenqin / Duan, Mengying / Xia, Die / Cao, Xianbin / Peng, Jianzhong

    Environmental toxicology

    2023  Volume 39, Issue 3, Page(s) 1858–1873

    Abstract: In this study, genes linked to prognosis in skin cutaneous melanoma (SKCM) involved in programmed cell death (PCD) were identified and confirmed and prognostic models based on these genes were constructed. Acquisition and analysis of clinical data and ... ...

    Abstract In this study, genes linked to prognosis in skin cutaneous melanoma (SKCM) involved in programmed cell death (PCD) were identified and confirmed and prognostic models based on these genes were constructed. Acquisition and analysis of clinical data and RNA sequencing information from The Cancer Genome Atlas-SKCM (TCGA-SKCM) and Sangerbox databases, gene expression data for 477 tumor samples and 2 normal samples were successfully gathered. The patients were separated into two clusters based on consensus clustering of PCD-related genes, with Cluster A having greater tumor purity, ESTIMATE score, immune score, and matrix score, and Cluster B having a significantly distinct pattern of immune cell infiltration. The use of gene set enrichment analysis and weighted correlation network analysis showed significant associations between certain genes and factors such as tumor mutation burden, age, stage, grade, and tumor subtype. Finally, based on the 12 genes selected by Least Absolute Shrinkage and Selection Operator regression analysis (STAT3, IRF2, SLC7A11, ZEB1, LIPT1, PML, GCH1, GYS1, ABCC1, XBP1, TFAP2C, NOX4), a prognostic model of PGD-related genes was constructed. The effectiveness of the model's prognostic value was confirmed through survival analysis, time-dependent receiver operating characteristic curve, single-factor Cox regression analysis, and nomogram. We also verified the relationship between the GCH1 and MKI67 expression by wet experiment. This model has high prediction accuracy in SKCM patients and can provide a reference for clinical treatment.
    MeSH term(s) Humans ; Melanoma ; Skin Neoplasms ; Immunotherapy ; Biomarkers ; Apoptosis ; Gene Expression
    Chemical Substances Biomarkers
    Language English
    Publishing date 2023-12-22
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1463449-1
    ISSN 1522-7278 ; 1520-4081
    ISSN (online) 1522-7278
    ISSN 1520-4081
    DOI 10.1002/tox.24051
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    Zs.A 2676: Show issues Location:
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  9. Article: Satisfactory Wound Reconstruction with a Local Rotation Flap After Removal of Large Penile Divided Nevi: Original Technique, Early and Mid-Term Results.

    Wang, Peng / Fan, Yueying / Lian, Wenqin / Su, Yingjun / Xiao, Hou'an / Jia, Chiyu

    Clinical, cosmetic and investigational dermatology

    2022  Volume 15, Page(s) 2203–2210

    Abstract: Objective: To investigate the application of local rotation flaps for reconstruction of divided nevi of the penises in young male patients.: Methods: A group of 8 patients of divided nevi of the penises who underwent wound reconstruction with local ... ...

    Abstract Objective: To investigate the application of local rotation flaps for reconstruction of divided nevi of the penises in young male patients.
    Methods: A group of 8 patients of divided nevi of the penises who underwent wound reconstruction with local rotation flaps after surgical lesion removal was enrolled in a retrospective clinical study. Postoperative complication, sexual function and psychological traits were evaluated during the follow-up.
    Results: All patients, with ages ranged from 16 to 32 years (mean 23.25 years), were followed up for 6 to 48 months (mean 19.86 months). The patient's average length of hospital stay was 7.85 day (7 to 15 days). The average dimension of the lesions was (2.31±0.44) × (1.46±0.48) cm
    Conclusion: Reconstruction with the local rotation flap is a simple, safe and appropriate surgical procedure, achieves satisfactory cosmetic outcome, and maintains intact male sexual function when used for the repair of defect after removal of divided nevi of the penises.
    Language English
    Publishing date 2022-10-18
    Publishing country New Zealand
    Document type Journal Article
    ZDB-ID 2494852-4
    ISSN 1178-7015
    ISSN 1178-7015
    DOI 10.2147/CCID.S383514
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  10. Article ; Online: Targeting CD44-positive ovarian cancers via engineered paclitaxel prodrug nanoparticles for enhanced chemotherapeutic efficacy.

    Sun, Xiang / Zhao, Rui / Zhao, Eryong / Wang, Qing / Lian, Wenqin / Xiong, Jian

    Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie

    2022  Volume 154, Page(s) 113655

    Abstract: Ovarian cancer (OvCa) is currently the fifth most lethal malignancy affecting women health owing to the lack of early diagnosis and treatment choices available before the disease has progressed to a later stage. Paclitaxel (PTX) has shown substantial ... ...

    Abstract Ovarian cancer (OvCa) is currently the fifth most lethal malignancy affecting women health owing to the lack of early diagnosis and treatment choices available before the disease has progressed to a later stage. Paclitaxel (PTX) has shown substantial antineoplastic action against a variety of human cancers, including OvCa, for multiple decades. Despite this, the therapeutic use of this drug is not yet adequate owing to surfactant-related toxicities and off-target effects. In response to these constraints, nanoparticle carriers have evolved as delivery tools for the biocompatible and target delivery of PTX. In this work, a novel polymeric PTX formulation was developed for targeted therapy of OvCa cells, which was achieved by prodrug engineering and HA decoration strategies. Further studies indicated that HA-coated nanodrugs (HA-PLA-PTX NPs) could preferentially accumulate in the CD44-expressing SKOV3 cells, which induced elevated cytotoxicity, reduced cell proliferation, and increased cell apoptosis. In vivo study also demonstrated that equivalent doses of HA-PLA-PTX NPs surpassed the clinical PTX formulation Taxol in a SKOV3 xenograft tumor model. In conclusion, HA-PLA-PTX NPs might be a potentially feasible delivery system for effective OvCa treatment.
    MeSH term(s) Humans ; Female ; Paclitaxel/pharmacology ; Paclitaxel/therapeutic use ; Prodrugs/pharmacology ; Prodrugs/therapeutic use ; Ovarian Neoplasms/drug therapy ; Drug Delivery Systems ; Nanoparticles ; Polyesters ; Cell Line, Tumor ; Drug Carriers/therapeutic use ; Antineoplastic Agents, Phytogenic/pharmacology ; Antineoplastic Agents, Phytogenic/therapeutic use ; Hyaluronan Receptors
    Chemical Substances Paclitaxel (P88XT4IS4D) ; Prodrugs ; Polyesters ; Drug Carriers ; Antineoplastic Agents, Phytogenic ; CD44 protein, human ; Hyaluronan Receptors
    Language English
    Publishing date 2022-09-08
    Publishing country France
    Document type Journal Article
    ZDB-ID 392415-4
    ISSN 1950-6007 ; 0753-3322 ; 0300-0893
    ISSN (online) 1950-6007
    ISSN 0753-3322 ; 0300-0893
    DOI 10.1016/j.biopha.2022.113655
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