Wenying Zhong’s research while affiliated with Hangzhou Normal University and other places

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Publications (5)


As intervenções comportamentais são a melhor escolha para pacientes com dermatite atópica? Metanálise de seis ensaios controlados randomizados
  • Article

July 2024

Wenying Zhong

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Wei Li

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Guangsheng Wu

Figure 3 Meta-analysis of effect size of psychological interventions for relieving eczema severity. CI, Confidence Interval.
Figure 4 Meta-analysis of effect size of psychological interventions for reducing itching intensity. CI, Confidence Interval.
Figure 5 Meta-analysis of effect size of psychological interventions for reducing scratching severity. CI, Confidence Interval.
Effect size of included studies regarding each outcome.
Are behavioral interventions a better choice for atopic dermatitis patients? A meta-analysis of 6 randomized controlled trials
  • Article
  • Full-text available

March 2024

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16 Reads

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3 Citations

Anais Brasileiros de Dermatologia

Background The treatment for atopic dermatitis (AD) has been the focus of clinical research, and behavioral intervention is considered an indispensable treatment method. To our knowledge, no relevant meta-analysis has evaluated the effects of behavioral interventions on atopic dermatitis. Objectives To evaluate the effects of behavioral interventions on atopic dermatitis. Methods The authors searched PubMed, EMBASE, and Cochrane CENTRAL to retrieve relevant RCTs (up to Feb 2022). The search strategy involved a combination of related keywords. The Cochrane Q and I² statistics were used to assess heterogeneity. Results Six RCTs involving seven reports with 246 patients were included. The results suggested that behavioral interventions could relieve eczema severity (correlation coefficient [r = −0.39]; p < 0.001) and scratching severity significantly (r = −0.19; p = 0.017), while not affect itching intensity (r = −0.02; p = 0.840). A sensitivity analysis confirmed the robustness of the results. Study limitations An important limitation of this study was the insufficient number of RCTs and the limited sample size. In addition, the study lacked a control group receiving a type of intervention other than the experimental protocol. Another limitation was the short duration of follow-up. Conclusions This study suggests that behavioral interventions could be effective in treating atopic dermatitis by reducing eczema and scratching severity. Additionally, habit-reversal behavioral therapy may be more effective for treating atopic dermatitis.

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Photodynamic Therapy Combined with Liquid Nitrogen Cryotherapy and Curettage for the Treatment of Recalcitrant Periungual and Subungual Warts: Clinical Experience and Literature Review

February 2024

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11 Reads

Indian Journal of Dermatology

Kuixia Xie

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Meihong Cheng

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Bo He

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[...]

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Wenying Zhong

Warts are caused by human papillomavirus (HPV) infection and can involve multiple parts of skin and mucosa, of which periungual and subungual warts are the most difficult to treat. Periungual or subungual wart is verruca vulgaris growing around or under the fingernail, destroying and deforming the nail and nail bed. Currently, liquid nitrogen cryotherapy and CO 2 laser are often used for the treatment. Clinically, few doctors routinely use photodynamic therapy (PDT) to treat viral warts. We used PDT combined with liquid nitrogen cryotherapy and curettage to successfully treat a case of intractable periungual and subungual warts.


CEBPB is downregulated in metastatic SKCM and associated with superior prognosis. (A) Boxplot of relative CEBPB mRNA level in SKCM tumor samples from TCGA and normal skin samples from GTEx analyzed based on GEPIA. Asterisk indicates significant difference. (B) Boxplot of relative CEBPB mRNA level in metastatic SKCM tumor samples and normal skin samples from GSE46517. Exact p-value was provided. (C) Relative mRNA level of CEBPB in normal dermal fibroblast, A375, and SK-MEL-2 melanoma cell lines. (D, E) The KM survival probability curve of metastatic SKCM patients from TCGA-SKCM and DFCI2015 cohorts. The patients were grouped according to the best cut-point of CEBPB expression obtained through survminer R package. p-Value was determined by using log-rank test. SKCM, skin cutaneous melanoma; TCGA, The Cancer Genome Atlas; GTEx, Genotype-Tissue Expression; GEPIA, Gene Expression Profiling Interactive Analysis; KM, Kaplan–Meier.
CEBPB is closely associated with immune response in metastatic SKCM tumor tissue. (A) Volcano plot of differential expression analysis between the 10 metastatic SKCM patients with the highest CEBPB expression (CEBPB_High) and the 10 with the lowest CEBPB expression (CEBPB_Low) from TCGA-SKCM cohort. Green, red, and gray dots represent significant downregulated, upregulated, and non-significant genes in CEBPB_High samples compared with CEBPB_Low samples. x-Axis and y-axis are log2FC and log10-based FDR-adjusted p-value, respectively. (B) The top 20 most significantly enriched KEGG pathways of the 2,039 DEGs in CEBPB_High samples. Dot size and color illustrate the number of genes included in the corresponding pathway and significance, respectively. Full list of significant KEGG pathways is provided in Supplementary Table 1 . (C) Enrichment plot of three hallmark gene sets that are significantly enriched and specifically activated in the CEBPB_High samples compared with CEBPB_Low samples. The full list of significantly enriched gene sets in CEBPB_High samples is provided in Supplementary Table 2 . SKCM, skin cutaneous melanoma; FDR, false discovery rate; KEGG, Kyoto Encyclopedia of Genes and Genomes; DEGs, differentially expressed genes.
CEBPB is mainly expressed in macrophages of metastatic SKCM TME and associated with the immune activity of macrophages. (A) Distribution of CEBPB expression across different cell types in the metastatic SKCM TME. (B) Heatmap illustrating the expression of macrophage-specific markers across different cell types in the metastatic SKCM TME. (C) Volcano plot of differential expression analysis between macrophages with CEBPB FPKM > 1 and those macrophages without CEBPB detected. Only macrophage-specific genes were included in this analysis, and CEBPB itself was not included in this plot. Green, red, and gray dots represent genes that were significantly downregulated, upregulated, and non-significant in CEBPB FPKM > 1 macrophage compared with those without CEBPB detected. (D) Enrichment plot of three significantly enriched, specifically activated hallmark gene sets in CEBPB FPKM > 1 macrophage compared with macrophages without CEBPB detected. The full list of significantly enriched hallmark gene sets is provided in Supplementary Table 3 . SKCM, skin cutaneous melanoma; TME, tumor microenvironment.
The signature based on the CEBPB-regulated genes in macrophages could robustly distinguish prognostically different metastatic SKCM patients. (A) Forest plot illustrating the hazard ratio (HR) and significance of the top 20 most significant CEBPB-regulated genes in macrophages in univariate Cox regression analysis of their association with overall survival probability of metastatic SKCM patients in TCGA-SKCM cohort. (B) LASSO Cox regression plot showing the optimal number of genes to be included in the death risk score (RS) signature. (C) RS and the overall survival time (month) as well as the survival status of each metastatic SKCM patient in TCGA-SKCM were altogether provided as a dot plot along with a heatmap. Each dot represents a patient, with dot color indicating the survival status, and the corresponding RS could be obtained through the last row of the heatmap. The relative expression of genes included in the signature was also illustrated in the heatmap. (D) KM survival probability curve of metastatic SKCM patients in TCGA-SKCM (left panel), DFCI2015 (middle panel), and GSE59455 (right panel) cohorts. The patients were grouped by the median RS value. p-Value was determined by using log-rank test. (E) Survival ROC curve for estimating the reliability of the RS in predicting the 3-year overall survival probability. The curve color represents the dataset used as indicated in the plot. SKCM, skin cutaneous melanoma; LASSO, least absolute shrinkage and selection operator; KM, Kaplan–Meier; ROC, receiver operating characteristic.
The signature based on the CEBPB-regulated genes in macrophages is closely associated with immune activity in metastatic SKCM TME. (A) Relative abundance of lymphocytes, myeloid cells, and stromal cells in metastatic SKCM patients’ tumor samples of the TCGA-SKCM cohort stratified by the median RS value. (B) Relative expression of genes of several immunologically suppressive and active signatures in metastatic SKCM patients’ tumor samples of the TCGA-SKCM cohort stratified by the median RS value. (C) Relative expression of antigen presentation-related genes in metastatic SKCM patients’ tumor samples of the TCGA-SKCM cohort with higher and lower RS stratified by the median RS value. Asterisk indicates a significant difference, namely, p-value< 0.05. n.s. represents non-significance. (D) Relative expression of genes used for defining immune cluster in the study of Shmulevich et al. (34) in the metastatic SKCM patients’ tumor tissues of the TCGA-SKCM cohort stratified by the median RS value. RSStatus, risk score status based on the median RS value; SKCM, skin cutaneous melanoma; TME, tumor microenvironment.
CEBPB is associated with active tumor immune environment and favorable prognosis of metastatic skin cutaneous melanoma

October 2022

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58 Reads

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11 Citations

Metastatic skin cutaneous melanoma (SKCM) is a common malignancy that accounts for low morbidity but high mortality of skin cancer. SKCM is characterized by high lymphocytic infiltration, whereas the states of infiltrated cells are variable in patients leading to a heterogeneous prognosis and hindering appropriate clinical decisions. It is therefore urgent to identify markers associated with lymphocytic infiltration, cellular conditions, and the prognosis of SKCM. In this study, we report that CEBPB, a transcriptional factor, is mainly expressed in macrophages in metastatic SKCM and associated with an active tumor immune environment and a favorable prognosis through integrated analysis of single-cell and bulk RNA-seq datasets. High CEBPB expression is significantly associated with active inflammation and immune response pathways in both macrophages and bulk SKCM tumor tissues. A signature based on CEBPB-associated genes that are specifically expressed in macrophages could robustly and prognostically separate different metastatic SKCM patients. In addition, the associations between the metastatic SKCM tumor signature and microenvironment with respect to T-cell recruitment and state, inflammation response, angiogenesis, and so on were also determined. In conclusion, we present here the first report on CEBPB in tumor immune environment and prognosis regulation in metastatic SKCM and construct a reliable signature, which should provide a useful biomarker for stratification of the patient’s prognosis and therapeutic selection.


Fig. 1. KMT2C is functionally associated with immune regulation. (A) Lollipop plot illustrating KMT2C mutations in MM samples in the TCGA-SKCM cohort across function domains of KMT2C protein. (B) Volcano plot showing the result of differential expression analysis between KMT2CMut and KMT2CWT MM samples in the TCGA-SKCM cohort. Green and red dots represent significantly down-and up-regulated genes in KMT2CMut compared with KMT2CWT MM samples, and grey dots are nonsignificant genes. Vertical and horizontal dashed line indicate the significant threshold of |log2FC| and p-value, respectively. (C) Significantly enriched KEGG pathways of DEGs obtained and visualized through clusterProfiler. (D) The seven KEGG pathways that significantly repressed in KMT2CMut compared with KMT2CWT MM samples in the TCGA-SKCM cohort. NIR, Neuroactive ligand-receptor.
Fig. 2. KMT2C is an independent prognostic factor in anti-PD-1 treated MM samples. (A) Kaplan-Meier plot of MM samples in the DFCI2019 cohort stratified by the KMT2C mutate status. p-value was determined by score test using the survival function package. (B) Confounding factor distribution among KMT2CMut and KMT2CWT MM samples in the DFCI2019 cohort. p-value was determined by Fisher's exact test. BrainMET, Brain metastasis; CutSubqMET, Subcutaneous metastasis; LNMET, Lymph node metastasis; LungMET, Lung metastasis; LiverVISCMET, Liver metastasis; BoneMET, Bone metastasis; LDHElevated, LDH level; PriorMAPKI, MAPK inhibition treatment status before anti-PD-1 treatment; PriorCTLA4, anti-CTLA4 treatment status before anti-PD-1 treatment. (C) Forest plot of the result of univariate cox regression analysis for the association between KMT2C as well as other confounding factors and OS probability of MM patients after anti-PD-1 treatment in DFCI2019 cohort. * indicates significant association at the threshold of p-value < 0.05. (D) Forest plot of the result of multivariate cox regression analysis of the association of OS probability of anti-PD-1 treated MM patients in DFCI2019 cohort with factors that are significant in (C). * indicates significant association at the threshold of p-value < 0.1.
Fig. 3. Association between KMT2C mutation and immune cell infiltration into MM tumor tissue. (A) Heatmap illustrating infiltration level of the 22 immune cells into tumor tissues of MM patients in DFCI2019 cohort stratified by KMT2C mutate status. (B) The same as (A) but in the TCGA-SKCM cohort. (C) Boxplot of the relative mRNA level of three immune checkpoint genes, including PD-1, PD-L1 and CTLA4, in KMT2CMut and KMT2CWT MM samples in DFCI2019 cohort. N.S. indicates not significant and * indicates significant difference at the threshold of p-value < 0.05. (D) The sample as in (A) but in the TCGA-SKCM cohort.
Fig. 4. Influence of KMT2C mutation on TMB and NAL of tumor tissue of MM patients. (A) TMB level (log2-based) of MM samples stratified by KMT2C mutate status in DFCI2019 (left), DFCI2015 (middle), and TCGA-SKCM (right) cohort. The p-value was determined by two-sided student t-test. (B) NAL level (log2-based) of MM samples stratified by KMT2C mutate status in DFCI2019
Fig. 5. Nomogram for predicting the prognosis of anti-PD-1 treated MM patients. (A) Nomogram for the 1-, 2-, and 3-year OS probability prediction of MM patients after anti-PD-1 treatment in the DFCI2019 cohort by including the significant factors in multivariate cox regression analysis. (B) Calibration curves for estimating the performance of the nomogram model in predicting the 1-year (top), 2-year (middle), and 3-year (bottom) OS probability of anti-PD-1 treated MM patients in DFCI2019 cohort. X-axis and Y-axis represents the predicted and actual OS probability at the specific time point, respectively.
KMT2C is a Potential Biomarker of Anti-PD-1 Treatment Response in Metastatic Melanoma

March 2022

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22 Reads

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11 Citations

Background: Metastatic melanoma (MM) represents a common malignancy with poor prognosis. Immune checkpoint inhibition (ICI), including PD-1 blockade, has been emerging as the popular therapeutic in MM for its durable treatment effect, but its response rate is still limiting. Methods: We comprehensively analyzed the associations between KMT2C somatic mutation and the tumor microenvironment as well as the ICI response of MM patients based on three published cohorts. Gene differential expression analysis between tumor samples with mutated and wild-type KMT2C was performed by DESeq2 package. Functional enrichment analysis was conducted by using clusterProfiler package. Kaplan-Meier was used to perform overall survival probability estimate through survival package and rms package was applied for the construction of nomogram model. Results: We report here that KMT2C is a potential biomarker for anti-PD-1 treatment in MM. This biomarker can be used for comprehensively analyzing its association with patients' prognosis, tumor microenvironment and genomic features. Mutations of KMT2C profoundly altered expression of immune- and DNA replication-related genes in MM tumors. MM patients harboring KMT2C mutations showed significantly better overall survival (OS) after treatment with PD-1 monoclonal antibody as compared to wild-type KMT2C. Although KMT2C mutation has no significant influence on immune cell infiltration into MM tumors, the tumor mutation load and neoantigen load are indeed elevated in KMT2C mutated MM samples. This might represent a possible pathway through which KMT2C regulates the response of MM patients to anti-PD-1 treatment. Finally, we constructed a nomogram model by combing the independent prognostic factors, including KMT2C mutation, which could effectively predict the 1-year survival probability of MM patients after anti-PD-1 treatment. Conclusions: In conclusion, we report the role of KMT2C in anti-PD-1 treatment response regulation in MM for the first time. This may consequently be helpful for KMT2C personalized application.

Citations (3)


... However, even if the within-group effect sizes at postintervention were lower than expected, not only this protocol but internet-based CBT overall is an established effective category of interventions. 7,26 While direct compari- sons are challenging due to differing main outcomes in previous research, the moderate within-group effect sizes are similar to those reported for earlier CBT-based interventions. 7,26 Limitations This study has limitations. ...

Reference:

Self-Guided vs Clinician-Guided Online Cognitive Behavioral Therapy for Atopic Dermatitis: A Randomized Clinical Trial
Are behavioral interventions a better choice for atopic dermatitis patients? A meta-analysis of 6 randomized controlled trials

Anais Brasileiros de Dermatologia

... This model was initially exemplified by the requirement of the LDTF PU.1 for the induction of LXR-and Toll-like receptor (TLR)-4-dependent gene expression in macrophages [35]. Based on the association of high C/EBPβ expression with the proinflammatory response of macrophages [37,38], in this work we have explored the relevance of this transcription factor in the cross talk between inflammatory signals and the LXR transcriptional program in macrophages. Activation of macrophages with inflammatory mediators resulted in changes in the expression of LXR and RXR subtypes as well as in the transcriptional response to an LXR agonist. ...

CEBPB is associated with active tumor immune environment and favorable prognosis of metastatic skin cutaneous melanoma

... KMT2C exhibits significantly specific high mutation rates in the C_0 cluster ( Supplementary Figure S2 A). Previous study has reported that KMT2C is a potential biomarker of Anti-PD-1 treatment response in metastatic melanoma ( 42 ). The identification of different tumor regions in STs helps reveal the biological characteristics of tumors and their complex relationship with the immune microenvironment. ...

KMT2C is a Potential Biomarker of Anti-PD-1 Treatment Response in Metastatic Melanoma