Liang Wen’s research while affiliated with 307 Hospital of the Chinese People's Liberation Army and other places

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Publications (4)


Distribution of baseline characteristics by pathology status
Immunocytochemical staining for p16, Ki-67, and MCM2 in the detection of cervical lesions and cancer: a prospective observational study
  • Article
  • Full-text available

May 2025

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5 Reads

Translational Cancer Research

Yunyue Liu

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Liang Wen

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Lingjie Jiang

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Wen Yang

Background Cervical cancer remains a significant global health concern, necessitating effective screening strategies. Traditional methods, such as liquid-based cytology (LBC) and high-risk human papillomavirus (HR-HPV) testing, have limitations in sensitivity and specificity. This study aimed to evaluate the diagnostic performance of p16, Ki-67, and minichromosome maintenance protein 2 (MCM2) as biomarkers in cervical cancer screening, both as standalone methods and in combination, to improve early detection and risk stratification. Methods This prospective study included 344 women who underwent LBC and HR-HPV testing, followed by the gold standard of colposcopy and biopsy. Immunocytochemical (ICC) staining for p16, Ki-67, and MCM2 was performed. The sensitivity, specificity, and Youden index were calculated to compare the efficacy of the single and combined screening methods. Results LBC alone demonstrated suboptimal sensitivity, while HR-HPV testing exhibited low specificity. Among the single methods, dual staining of p16 paired with MCM2 (p16/MCM2) when using a high-risk threshold achieved the highest Youden index (0.55). The combination of LBC with p16/MCM2 yielded superior sensitivity (96.3%) and moderate specificity (42.6%), outperforming the combination of HR-HPV with dual staining of p16/MCM2. Importantly, all missed diagnoses were high-grade squamous intraepithelial lesion (HSIL) with cervical intraepithelial neoplasia (CIN) grades 2–3, and no cases of cervical cancer were missed. Conclusions HR-HPV-based primary screening with p16/Ki-67 triage may offer a viable strategy for cervical cancer detection. Combining LBC with p16/MCM2 dual staining demonstrated improved sensitivity and specificity compared to conventional methods. Notably, p16/MCM2 as a standalone assay achieved the highest Youden index when using a high-risk threshold. Further validation through multicenter studies is essential to confirm its generalizability.

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The flow diagram of the selection process for this study
Network plot. A Clinical pregnancy rate, B live birth rate, and C miscarriage rate. Each node in the network represents an intervention, with the size of each node proportional to the number of trials reporting that intervention. The width of the lines between nodes is proportional to the number of trials comparing each pair of interventions. A connecting line between two nodes indicates a direct comparison relationship between the corresponding intrauterine infusion drugs, while the absence of a connecting line signifies no direct comparison between those drugs. A, G-CSF; B, PRP; C, HCG; D, PBMCs; E, placebo; F, blank
Network meta-analysis. A Clinical pregnancy rate, B live birth rate, and C miscarriage rate. The data in each cell represent the odds ratio (OR) with 95% confidence intervals (CI) for the comparison between the efficacy of the preventive measures listed in the columns and rows. A difference is considered statistically significant if the 95% CI does not include 1. A, G-CSF; B, PRP; C, HCG; D, PBMCs; E, placebo; F, blank
SUCRA probability ranking. A chemical pregnancy rate and B clinical pregnancy rate. A, G-CSF; B, PRP; C, HCG; D, PBMCs; E, placebo; F, blank
The funnel plot. A clinical pregnancy rate and B live birth rate. The horizontal axis represents the difference between the study-specific effect sizes from the corresponding comparison-specific summary effect, and the vertical axis represents the standard error of the log OR. The red line represents the null hypothesis. In addition, the diagonal areas on both sides of the red line represent the 95% confidence intervals of the combined effects under different log OR scales. A, G-CSF; B, PRP; C, HCG; D, PBMCs; E, placebo; F, blank
Comparative efficacy of intrauterine infusion treatments for recurrent implantation failure: a network meta-analysis of randomized controlled trials

Journal of Assisted Reproduction and Genetics

Objective Recurrent implantation failure (RIF) is a significant challenge in assisted reproductive technology (ART), affecting many women undergoing in vitro fertilization (IVF). This study aims to compare the efficacy of various intrauterine infusion treatments, including granulocyte colony-stimulating factor (G-CSF), platelet-rich plasma (PRP), human chorionic gonadotropin (HCG), and peripheral blood mononuclear cells (PBMCs), in improving clinical pregnancy rate (CPR), live birth rate (LBR), and miscarriage rate (MR) in women with RIF. Methods A comprehensive search was conducted in multiple databases, including Cochrane Central Register of Controlled Trials (CENTRAL), PubMed, Embase, Web of Science, and China National Knowledge Internet (CNKI), to identify randomized controlled trials (RCTs) evaluating the efficacy of intrauterine infusion treatments for RIF. Data extraction and quality assessment were performed independently by two reviewers. Network meta-analysis was conducted using a random-effects model to compare the outcomes of different treatments. Results A total of 25 RCTs involving 3035 patients were included in the network meta-analysis. The treatments involved G-CSF, PRP, HCG, PBMCs, placebo, and blank control. The results of the network meta-analysis for CPR and LBR were statistically significant among treatments, but there was no statistical significance in MR. The surface under cumulative ranking curve (SUCRA) ranking of CPR and LBR showed that intrauterine infusion treatments of G-CSF, PRP, HCG, and PBMCs were much better than placebo and blank. The SUCRA values of CPR were ranked probabilistically from high to low as follows: PRP (84.5%) > PBMCs (76.5%) > G-CSF (65.7%) > HCG (52.5%) > placebo (20.8%) > blank (0.1%). The SUCRA values of LBR were ranked probabilistically from high to low as follows: PRP (81.4%) > PBMCs (64.6%) > G-CSF (58.0%) > HCG (48.7%) > placebo (42.4%) > blank (4.9%). Conclusion All these findings confirmed that intrauterine infusions of PRP and PBMCs significantly improve pregnancy outcomes in women with RIF. PRP emerged as the most effective treatment. However, to establish the most effective approach for managing patients with RIF, future research should prioritize direct and robust comparisons between PRP and other therapeutic strategies, ensuring a comprehensive evaluation of their relative efficacy.


Figure 1. Silencing of ICAM-1 confers resistance to CTL and NK cell-mediated killing (A) The mRNA expression level of MHC and co-stimulatory molecules among 1,086 human cancer cell lines from the CCLE database. (B) Pan-cancer analysis of ICAM-1 expression level on different cancer types from TCGA database. ICAM-1 median expression value is show in red line. (C and D) FACS analysis of surface ICAM-1 level on indicated human (C) and murine (D) cancer cell lines. Murine cells were either untreated or treated with IFN-g (50 ng/mL) for 24 hours. (E) In vitro competition assay of tumor and CTL co-culture. Control (sgControl) SW480 cells were either mixed with tdTomato-labeled control (sgControl) cells or ICAM-1 KO cells. These mixture cells were then co-cultured with NY-ESO-1-specific T cells or control T cells without the expression of TCR against NY-ESO-1. Log 2 fold changes of the percentage of mixture SW480 cells upon co-culture with NY-ESO-1-specific CTLs as compared with that co-cultured with control T cells were shown (n = 3).
Figure 2. Tumor-intrinsic ICAM-1 is critical for immune evasion for both MHC-I-sufficient and deficient tumors (A and B) Vector-transduced or Icam1 OE B16F10 and 4T1 tumors were inoculated in wild-type mice (A) and NSG mice (B), respectively. Tumor growth curves were recorded and shown. n = 5-6 mice per group. (C) Control (sgControl) and Icam1 KO (sgIcam1) 4T1 tumors were inoculated in the wild-type and NSG mice, respectively. Tumor growth curves were recorded and shown. n = 4-5 mice per group. (D) Summary of FACS analysis comparing the number of indicated tumor-infiltrating immune cells between control and Icam1 KO 4T1 tumors on day 16 after tumor inoculation (n = 5-6). (E) B2m/Icam1 double KO (sgB2m + sgIcam1) or B2m single KO (sgB2m + sgControl) 4T1 tumors were inoculated in the wild-type and NSG mice, respectively. Tumor growth curves were recorded and shown. n = 4-6 mice per group. (F) Summary of FACS analysis comparing the number of indicated tumor-infiltrating immune cells between B2m/Icam1 double KO and B2m single KO 4T1 tumors on day 15 after tumor inoculation (n = 6). Data are presented as means ± SEM (A-F). *p < 0.05, **p < 0.01, ***p < 0.001, and ****p < 0.0001 by two-way ANOVA (A-C and E) and one-way ANOVA (D and F). ns, not significant. Data are representative of at least two independent experiments (A-F).
Figure 3. ICAM-1 is co-expressed with a wide range of pro-inflammatory genes and is epigenetically regulated in tumor cells (A) Workflow of CRISPR screen to identify regulators of ICAM-1 expression. Cas9-expressing A549 cells were transduced with a genome-wide sgRNA library. CRISPR-edited A549 cells were then sorted into ICAM-1 high and ICAM-1 low fractions, followed by genomic DNA extraction and sequencing to determine the sgRNA abundance. (B) Volcano plot showing the log 2 fold change and p values of ICAM-1 regulators identified from CRISPR screen. The left graph shows the depleted hits (KO of the gene reduced ICAM-1 expression) and the right graph shows the enriched hits (KO of the gene enhanced ICAM-1 expression). Annotated genes represent the NFkB pathway (blue) and epigenetic regulators (red). (C) Log 2 fold change of sgRNAs against indicated genes in ICAM-1 high A549 cells as compared with control. Depleted sgRNA (KO leads to reduced ICAM-1) and enriched sgRNAs (KO leads to enhanced ICAM-1) are labeled in blue and red bars, respectively. The control sgRNAs are indicated by gray bars. (D) Gene ontology (GO) analysis in top 100 enriched hits from ICAM-1 high A549 cells of CRISPR screen. (E) FACS analysis of ICAM-1 level on A549-Cas9 cells expressing control sgRNA or sgRNAs targeting UHRF1, DNMT1, EED, BPTF, and STAG2. The same control sample was used for all comparisons shown in the panel. Data are representative of two independent experiments (E).
Figure 4. UHRF1-DNMT1-mediated methylation is a major ICAM-1 silencing mechanism in cancer cells (A) Illustration of functional domains in UHRF1. The indicated point mutations abolish the corresponding functions of the domains. (B) Western blot analysis of UHRF1 protein level in control and UHRF1 KO A549 cells expressing indicated UHRF1 mutants. (C) Mean fluorescence intensity (MFI) of surface ICAM-1 level determined by flow cytometry in cells expressing indicated UHRF1 mutants (n = 3). (D) RNA-seq and WGBS profiles of ICAM1 in UHRF1 KO and control A549 cells. CpG region is shaded in blue. One of representative biological replicates is shown for each sample. (E) Bisulfite sequencing of the ICAM1 CpG region in control (left) and UHRF1 KO (right) A549 cells. Each line represents a single clone (n = 20). Methylated CpG sites are shown in black circles and unmethylated sites in blank circles. The percentages of overall methylated CpGs are indicated. (F) Pearson's correlation of tumor ICAM-1 expression and ICAM1 promoter methylation score from the CCLE database. (G and H) Control or UHRF1 KO A549 cells co-cultured either with NY-ESO-1-specific CTLs (G) or NK-92MI cells (H) in the presence of isotype (mouse IgG1 kappa antibodies) or anti-ICAM-1-blocking antibodies (5 mg/mL). Specific lysis percentage was determined by FACS, counting the number of alive cells after co-culture with NY-ESO-1-specific CTLs or NK-92MI cells, as compared with control group (n = 3). Data are presented as means ± SEM (C and G and H). *p < 0.05 and ****p < 0.0001 by one-way ANOVA (C) and two-way ANOVA (G and H). ns, not significant. Data are representative of at least two independent experiments (B, C, G, and H).
Figure 5. Reconstitution of ICAM-1/LFA-1 signaling through fusion protein Cet3ICAM1-D1 (A) Schematic structure of Cet3ICAM1-D1 fusion protein (left) and working hypothesis (right). Cet3ICAM1-D1 is composed of Fab fragment of cetuximab and murine natural D1 domain of ICAM-1, fused to a ''LALA-PG'' human Fc fragment. Working hypothesis: in the absence of ICAM-1, the fusion protein could interact and activate with LFA-1 signaling through the ICAM-1 D1 domain. (B) Binding affinity of cetuximab and Cet3ICAM1-D1 to EGFR in MC38 cells (n = 3). (C and D) OT-1 T cells were co-cultured with MC38 (C) and B16F10 (D) tumor cells with serial dilutions of Cet3ICAM1-D1 or cetuximab. FACS analysis showing the percentage of intracellular IFN-g-producing OT-I T cells (n = 3). (E) OT-1 cells were co-cultured with SIINFEKL-pulsed or unpulsed MC38 tumor cells in the presence of 10 nM Cet3ICAM1-D1. FACS analysis showing the percentage of intracellular IFN-g-producing OT-I T cells (n = 3).
Potentiating anti-tumor immunity by re-engaging immune synapse molecules

February 2025

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1 Read

Cell Reports Medicine

The formation of immune synapses (ISs) between cytotoxic T cells and tumor cells is crucial for effective tumor elimination. However, the role of ISs in immune evasion and resistance to immune checkpoint blockades (ICBs) remains unclear. We demonstrate that ICAM-1, a key IS molecule activating LFA-1 signaling in T and natural killer (NK) cells, is often expressed at low levels in cancers. The absence of ICAM-1 leads to significant resistance to T and NK cell-mediated anti-tumor immunity. Using a CRISPR screen, we show that ICAM-1 is epigenetically regulated by the DNA methylation pathway involving UHRF1 and DNMT1. Furthermore, we engineer an antibody-based therapeutic agent, “LFA-1 engager,” to enhance T cell-mediated anti-tumor immunity by reconstituting LFA-1 signaling. Treatment with LFA-1 engagers substantially enhances immune-mediated cytotoxicity, potentiates anti-tumor immunity, and synergizes with ICB in mouse models of ICAM-1-deficient tumors. Our data provide promising therapeutic strategies for re-engaging immune stimulatory signals in cancer immunotherapy.


GRB7 Plays a Vital Role in Promoting the Progression and Mediating Immune Evasion of Ovarian Cancer

August 2024

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39 Reads

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1 Citation

Background: Despite breakthroughs in treatment, ovarian cancer (OC) remains one of the most lethal gynecological malignancies, with an increasing age-standardized mortality rate. This underscores an urgent need for novel biomarkers and therapeutic targets. Although growth factor receptor-bound protein 7 (GRB7) is implicated in cell signaling and tumorigenesis, its expression pattern and clinical implications in OC remain poorly characterized. Methods: To systematically investigate GRB7’s expression in OC, our study utilized extensive datasets from TCGA, GTEx, CCLE, and GEO. The prognostic significance of GRB7 was evaluated by means of Kaplan–Meier and Cox regression analyses. Using a correlation analysis and gene set enrichment analysis, relationships between GRB7’s expression and gene networks, immune cell infiltration and immunotherapy response were investigated. In vitro experiments were conducted to confirm GRB7’s function in the biology of OC. Results: Compared to normal tissues, OC tissues exhibited a substantial upregulation of GRB7. Reduced overall survival, disease-specific survival, and disease-free interval were all connected with high GRB7 mRNA levels. The network study demonstrated that GRB7 is involved in pathways relevant to the course of OC and has a positive connection with several key driver genes. Notably, GRB7’s expression was linked to the infiltration of M2 macrophage and altered response to immunotherapy. Data from single-cell RNA sequencing data across multiple cancer types indicated GRB7’s predominant expression in malignant cells. Moreover, OC cells with GRB7 deletion showed decreased proliferation and migration, as well as increased susceptibility to T cell-mediated cytotoxicity. Conclusion: With respect to OC, our results validated GRB7 as a viable prognostic biomarker and a promising therapeutic target, providing information about its function in tumorigenesis and immune modulation. GRB7’s preferential expression in malignant cells highlights its significance in the biology of cancer and bolsters the possibility that it could be useful in enhancing the effectiveness of immunotherapy.

Citations (1)


... The tumor microenvironment (TME) plays a vital role in both tumor progression and the effectiveness of immunotherapy. It was found that the knockout of GRB7 was associated with increased T cell-mediated cytotoxicity, suggesting the possibility of GRB7 being a potential target for immunotherapy [25]. In this study, the relationship between GRB7 expression and immune cell infiltration in KICH, KIRC, and PAAD was examined using the TIMER database. ...

Reference:

A Comprehensive Pan-Cancer Analysis Reveals GRB7 as a Potential Diagnostic and Prognostic Biomarker
GRB7 Plays a Vital Role in Promoting the Progression and Mediating Immune Evasion of Ovarian Cancer