Bin Yang’s research while affiliated with Cancer Institute and Hospital, Chinese Academy of Medical Sciences and other places

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Publications (161)


Risk of ovarian cancer in women with pelvic inflammatory disease and homologous recombination repair gene mutations under 55: a population-based cohort study
  • Article

May 2025

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1 Read

Journal of Gynecologic Oncology

Chenzhao Feng

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Wanwan Luo

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Zanhong Wang

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[...]

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Beibei Wang

Overview of the experimental strategy, and proteomic landscape of oesophageal squamous cell carcinoma (ESCC) compared with NATs. A Overview of the experimental strategy, image created with BioRender.com, with permission. B Principal component analysis (PCA) of the proteome. Red, tumours; blue, NATs. C Number of proteins identified in tumours (red dots) and NATs (blue dots). The 95% confidence intervals are shown by the hidden region. D Heatmap showing the differentially expressed proteins in tumours and NATs. Significantly up-regulated and down-regulated pathways are shown on the right. E Heatmap showing the proteins associated with patient survival in these significantly changed pathways, and log2-based hazard ratio are shown on the right. HR: hazard ratio for OS. F Representative proteins of four biological pathways and their relationship with prognosis (FDR-corrected log-rank P values). The cut-off values of each protein are as follows: SNRPB (18.1421), SF3A1 (16.6450), EIF2S1 (18.6551), DNAJC10 (13.1860), DLD (17.6574), BCKDHA (15.9849), COX6B1 (17.2751), UQCRC1 (18.0475). See also Fig. S1, S2 and Table S1, S3, S4
The metabolomic landscape of oesophageal squamous cell carcinoma. A Proportions of annotated metabolites identified in our study. B Volcano plots of the annotated metabolites. C A pathway-based analysis of metabolomic changes between tumour and NATs. The DA score captures the average, gross changes for all metabolites in a pathway. A score of 1 indicates that all measured metabolites in the pathway increase in the tumour compared to normal tissues, and a score of −1 indicates that all measured metabolites in a pathway decrease. Pathways with no fewer than three measured metabolites were used for the DA score calculation. D Pathway abundance (PA) scores between tumour and NATs. The PA score was calculated as the mean log2 fold change in the abundances of the measured metabolites in this pathway. E A metabolic map profiling the synthesis and degradation of several amino acids, based on metabolomics data. See also Fig. S2 and Table S5
Effects of mutations and copy number alterations (CNAs) on mRNA and protein abundance. A Functional effect of mutations on mRNA and proteins. The y-axis shows significant mutant genes in ESCC, and the x-axis is cis- or trans- effected genes and related pathways. B Correlation of CNA to mRNAs and protein abundance. Positive and negative correlations are indicated in red and blue, respectively. Genes are ordered by chromosomal location on the x and y axes. The diagonal lines indicate the cis-effects of CNA on mRNAs or proteins. C Overlap of cis-effects observed at mRNA and proteins (FDR < 0.05). D KEGG pathway enrichment analysis of overlapped RNA and proteins in C. E CNA frequency diagram. Red for amplification, blue for deletion. F Volcano plot showing log2-based hazard ratio for each significant CNA peak regions. G Kaplan–Meier curves for overall survival analysis of patients with 1p34 gain or 13q22 gain (P value from log-rank test). H Heatmap showing the normalized expression of cis- and trans-effecting proteins and mRNAs significantly associated with copy number amplification in the 1p34 region (left) and log2-based hazard ratio (right). HR: hazard ratio for OS. The P-values were adjusted using Benjamini–Hochberg false discovery rate (FDR) correction. I Left: Heatmap showing the score of the proteasome pathway and the normalized expression of associated proteins. Centre: Log2-based hazard ratios and FDR of these proteins. Right: Spearman’s correlation coefficients of these proteins with PPCS expression (blue) and proteasome pathway score (red). HR: hazard ratio for OS. See also Fig. S3 and Table S7
ESCC molecular subtyping based on integrated proteomics and metabolomics analysis. A Heatmap with clinical characteristics of ESCC samples into three SNF-derived subtypes: S1 (n = 47), S2 (n = 32), and S3 (n = 47) based on integrated analysis of proteomics and metabolomics. Pathways are significantly enriched in each subtype. B Kaplan–Meier curves for overall survival and progression-free survival of different subtypes (P value from log-rank test). C Number of patients with lymphatic metastasis between three subtypes (P value from chi-square test). D Heatmap showing the median number of immune cell infiltration in NATs and three subtypes, and log2-based hazard ratio for each immune cell infiltration score. E Multiple immunofluorescence results and intensity statistical analysis. Box plots show the percentage of positive cells in subtypes S1 (n = 7) and S3 (n = 7). Data presented as mean ± s.d.; P values by two-tailed Student’s t test
Molecular subtype validation in another independent cohort. A The contribution of six signatures to the subtype diagnostic model. B Receiver operating characteristic (ROC) curves with reported areas under the curve (AUCs) demonstrated the efficacy of the subtype diagnostic model in identifying subtypes of ESCC. C A abundance of the six signatures in three subtypes. Data presented as mean ± s.d.; P values by Wilcoxon rank-sum test. D IHC and intensity statistics of four characteristic proteins in the predicted S3 subtype (n = 12) and S1/2 subtype (n = 40) in the independent ESCC cohort 2 (P value from Wilcoxon rank-sum test). Data presented as mean ± s.d.; P values by Wilcoxon rank-sum test. E, F The intensity of creatine (E) and 2’DG (F) in the predicted S3 subtype (n = 12) and S1/2 (n = 40) subtype in cohort 2. Data presented as mean ± s.d.; P values by Wilcoxon rank-sum test. G Kaplan–Meier curves for overall survival analysis of predicted S3 subtype and S1/2 subtype (P value from the log-rank test). H, I Spearman correlation analysis of the protein expression of HK3 protein and the intensity of creatine in our study (H) or in cohort 2 (I). J ROC curves with reported AUCs demonstrated the efficacy of the model containing only creatine and HK3 protein. K, L Kaplan–Meier curves for overall survival analysis of the expression of HK3 protein (K) and the intensity of creatine in our study (L) (P value from log-rank test). See also Table S10

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Multi-omics analysis reveals immunosuppression in oesophageal squamous cell carcinoma induced by creatine accumulation and HK3 deficiency
  • Article
  • Full-text available

May 2025

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16 Reads

Genome Medicine

Background Deep insights into the metabolic remodelling effects on the immune microenvironment of oesophageal squamous cell carcinoma (ESCC) are crucial for advancing precision immunotherapies and targeted therapies. This study aimed to provide novel insights into the molecular landscape of ESCC and identify clinically actionable targets associated with immunosuppression driven by metabolic changes. Methods We performed metabolomic and proteomic analyses combined with previous genomic and transcriptomic data, identified multi-omics-linked molecular features, and constructed metabolic-immune interaction-based ESCC classifiers in a discovery cohort and an independent validation cohort. We further verified the molecular characteristics and related mechanisms of ESCC subtypes. Results Our integrated multi-omics analysis revealed dysregulated proteins and metabolic imbalances characterizing ESCC, with significant alterations in metabolites and proteins linked to genetic traits. Importantly, ESCC patients were stratified into three subtypes (S1, S2, and S3) on the basis of integrated metabolomic and proteomic data. A robust subtype prediction model was developed and validated across two independent cohorts. Notably, patients classified under the poorest prognosis subtype (S3 subtype) exhibited a significant immunosuppressive microenvironment. We identified key metabolism-related biomarkers for the S3 subtype, specifically creatine and hexokinase 3 (HK3). Creatine accumulation and HK3 protein deficiency synergistically reprogrammed macrophage metabolism, driving M2-like TAM polarization. This metabolic shift fostered an immunosuppressive microenvironment that accelerated tumour progression. These results highlight the potential of targeting creatine metabolism to improve the efficacy of immunotherapy and targeted therapy for ESCC. Conclusions Our analysis reveals molecular variation in multi-omics linkages and identifies targets that reverse the immunosuppressive microenvironment through metabolic remodelling improving immunotherapy and targeted therapy for ESCC.

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Heterogeneous cellular responses to hyperthermia support combined intraperitoneal hyperthermic immunotherapy for ovarian cancer mouse models

March 2025

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36 Reads

Science Translational Medicine

The benefit of hyperthermic intraperitoneal chemotherapy (HIPEC) in ovarian cancer remains controversial, hindering the development of rational combination therapies based on hyperthermia (HT). This study reports the preliminary results of the neoadjuvant HIPEC (NHIPEC) trial (ChiCTR2000038173), demonstrating enhanced tumor response in high-grade serous ovarian cancer with NHIPEC. Through single-cell RNA sequencing analysis, we identified both homogeneous and heterogeneous cellular responses to HT within the tumor and microenvironment. Epithelial-mesenchymal transition–activated tumor cells and matrix metallopeptidase 11 (MMP-11) ⁺ cancer-associated fibroblasts (CAFs) exhibited greater reductions and higher sensitivity to HT. CUT&Tag and RNA sequencing integration unveiled the differential binding programs and transcriptional regulatory mechanisms of HSF1 under normothermia (NT) and HT in tumor cells and CAFs. Furthermore, HT ameliorated the immunosuppressive tumor microenvironment, and in vivo mouse models confirmed the combined antitumor effects of HT and programmed cell death ligand 1 blockade. These findings provide an innovative strategy for rational combination therapy with HT in ovarian cancer.



The splicing factor SF3B1 confers ferroptosis resistance and promotes lung adenocarcinoma progression via upregulation of SLC7A11

August 2024

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29 Reads

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3 Citations

Cancer Gene Therapy

This study aimed to investigate the expression of SF3B1 in non-small cell lung cancer, and its clinical significance, biological function, and molecular mechanisms. SF3B1 mRNA and protein levels were elevated in both lung squamous cell carcinoma and lung adenocarcinoma (LUAD) tissues based on TCGA data and immunohistochemistry. Notably, high SF3B1 expression in LUAD was significantly associated with increased lymph node metastasis. Functional experiments involving SF3B1 knockdown and overexpression demonstrated that SF3B1 facilitated the proliferation, invasion, and migration of LUAD cells. Additionally, the SF3B1 inhibitor pladienolide-B attenuated the aggressive behavior of LUAD cells both in vitro and in vivo. RNA sequencing analysis indicated that differentially expressed genes in the SF3B1 knockdown and SF3B1 inhibitor groups were enriched in ferroptosis-related pathways compared to their respective control groups. The antiferroptotic role of SF3B1 in LUAD cells was validated by detecting glutathione depletion, lipid peroxidation, and observing morphological changes using transmission electron microscopy. This process was confirmed to be independent of apoptosis and autophagy, as evidenced by the effects of the ferroptosis inducer erastin, the apoptosis inhibitor Z-VAD-FMK, and the autophagy inhibitor 3-methyladenine. Rescue experiments indicated that the antiferroptotic role of SF3B1 in LUAD is partially mediated by upregulating the expression of SLC7A11.


Figure 5. DDR inhibitor drug screening in OC PDX models (A) Tumor volume change curves of OC09_OVPF3 PDX subjected to WEE1i, PARPi, and vehicle treatment (n = 5 for CON group, n = 6 for WEE1i and PARPi groups). (B) Tumor volume change curves of OC19_OVPF2 PDX subjected to WEE1i, PARPi, and vehicle treatment (n = 5). (C) Tumor volume change curves of OC13_OVPF3 PDX subjected to WEE1i, PARPi, and vehicle treatment (n = 6). (D) Tumor volume change curves of OC04_OVPF2 PDX subjected to WEE1i, PARPi, BRD4/BETi, and vehicle treatment (n = 5 for CON and WEE1i groups, n = 4 for PARPi and BRD4/BETi groups). (E) Tumor volume change curves of OC21_OVPF5 PDX subjected to WEE1i, PARPi, ATMi, and vehicle treatment (n = 5). (F) Tumor volume change curves of OC27_AFPF3 PDX subjected to WEE1i, PARPi, and vehicle treatment (n = 5). For (A)-(F), p values were calculated by t test.
Genomic profiling of a multi-lineage and multi-passage patient-derived xenograft biobank reflects heterogeneity of ovarian cancer

July 2024

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47 Reads

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1 Citation

Cell Reports Medicine

Ovarian cancer (OC) manifests as a complex disease characterized by inter- and intra-patient heterogeneity. Despite enhanced biological and genetic insights, OC remains a recalcitrant malignancy with minimal survival improvement. Based on multi-site sampling and a multi-lineage patient-derived xenograft (PDX) establishment strategy, we present herein the establishment of a comprehensive PDX biobank from histologically and molecularly heterogeneous OC patients. Comprehensive profiling of matched PDX and patient samples demonstrates that PDXs closely recapitulate parental tumors. By leveraging multi-lineage models, we reveal that the previously reported genomic disparities of PDX could be mainly attributed to intra-patient spatial heterogeneity instead of substantial model-independent genomic evolution. Moreover, DNA damage response pathway inhibitor (DDRi) screening uncovers heterogeneous responses across models. Prolonged iterative drug exposure recapitulates acquired drug resistance in initially sensitive models. Meanwhile, interrogation of induced drug-resistant (IDR) models reveals that suppressed interferon (IFN) response and activated Wnt/β-catenin signaling contribute to acquired DDRi drug resistance.


Metabolism-driven in vitro/in vivo disconnect of an oral ERɑ VHL-PROTAC

May 2024

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153 Reads

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12 Citations

Communications Biology

Targeting the estrogen receptor alpha (ERα) pathway is validated in the clinic as an effective means to treat ER+ breast cancers. Here we present the development of a VHL-targeting and orally bioavailable proteolysis-targeting chimera (PROTAC) degrader of ERα. In vitro studies with this PROTAC demonstrate excellent ERα degradation and ER antagonism in ER+ breast cancer cell lines. However, upon dosing the compound in vivo we observe an in vitro-in vivo disconnect. ERα degradation is lower in vivo than expected based on the in vitro data. Investigation into potential causes for the reduced maximal degradation reveals that metabolic instability of the PROTAC linker generates metabolites that compete for binding to ERα with the full PROTAC, limiting degradation. This observation highlights the requirement for metabolically stable PROTACs to ensure maximal efficacy and thus optimisation of the linker should be a key consideration when designing PROTACs.



Immune-tumor interaction dictates spatially directed evolution of esophageal squamous cell carcinoma

April 2024

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44 Reads

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10 Citations

National Science Review

Esophageal squamous cell carcinoma (ESCC) is a poor-prognostic cancer type with extensive intra- and inter-patient heterogeneity in both genomic variations and tumor microenvironment (TME). However, the patterns and drivers of spatial genomic and microenvironmental heterogeneity of ESCC remain largely unknown. Here, we generated a spatial multi-omic atlas by whole-exome, transcriptome, and methylome sequencing of 507 tumor samples from 103 patients. We identified a novel tumor suppressor PREX2, accounting for 22% ESCCs with frequent somatic mutations or hyper-methylation, which promoted migration and invasion of ESCC cells in vitro. Analysis of the tumor microenvironment and quantification of subclonal expansion indicated that ESCCs undergo spatially directed evolution, where subclones mostly originated from the tumor center but had a biased clonal expansion to the upper direction of the esophagus. Interestingly, we found upper regions of ESCCs often underwent stronger immunoediting with increased selective fitness, suggesting more stringent immune selection. In addition, distinct TMEs were associated with variable genomic and clinical outcomes. Of which, hot TME was associated with high immune evasion and subclonal heterogeneity. We also found that immunoediting, instead of CD8+ T cell abundance, acts as an independent prognostic factor of ESCCs. Importantly, we found significant heterogeneity in previously considered potential therapeutic targets, as well as BRCAness characteristics in a subset of patients, emphasizing the importance of focusing on heterogeneity in ESCC targeted therapy. Collectively, these findings provide novel insights into the mechanisms of the spatial evolution of ESCC and inform precision therapeutic strategies.


Citations (60)


... Moreover, the suppression of SLC7A11 weakened the proliferation and viability in H358 cells, further supporting the suggestion that high SLC7A11 levels are indicative of a poor prognosis in NSCLC patients [21]. A subunit of the spliceosome factor 3B 1 (SF3B1) has been reported to be overexpressed in NSCLC tissues compared to adjacent normal tissues and inhibited ferroptosis by upregulating SLC7A11, thereby promoting tumorigenesis and progression in lung LUAD through the enhanced proliferation, migration, and invasion of LUAD cells [22]. Conversely, the tripartite motif-containing 3 (TRIM3) expression was downregulated in clinical NSCLC samples and exhibited a negative correlation with xCT protein levels. ...

Reference:

Ferroptosis: Therapeutic Potential and Strategies in Non-Small Cell Lung Cancer
The splicing factor SF3B1 confers ferroptosis resistance and promotes lung adenocarcinoma progression via upregulation of SLC7A11

Cancer Gene Therapy

... Despite the fact that standard therapy induces an initial response, most patients relapse within a few months and when this occurs the survival rate is very low [29]. Ovarian cancer is considered to be a histologically and genomically complex disease [30]. Ubiquitous genomic instability due to TP53 or BRCA1/2 alterations results in diverse subsequent events that are believed to drive ovarian tumor growth and progression [31,32]. ...

Genomic profiling of a multi-lineage and multi-passage patient-derived xenograft biobank reflects heterogeneity of ovarian cancer

Cell Reports Medicine

... The in vivo predictive value of these metabolic data is un-known, as most rely on in vitro incubations using human or rodent hepatocytes or liver microsomes that do not take unspecific drug binding into account, as it is only the unbound fraction that interacts with enzymatic proteins. This leads to a substantial in vitro-in vivo disconnect of experimental data [32]. While most hepatocyte studies report low clearance and turnover of PROTACs, others suggest CYP3A-mediated metabolism [22,28,29,33,34]. ...

Metabolism-driven in vitro/in vivo disconnect of an oral ERɑ VHL-PROTAC

Communications Biology

... The expression of TAM subtypes in the tumor core versus the peritumoral region also influences tumor dynamics and prognosis for patients (15,16). Multi-regional sampling has proven instrumental in characterizing tumor heterogeneity, which identified the spatiotemporal evolutionary patterns within the TME by aggregating cellular components from multiple regions of the patients (17). In addition, the development of spatial transcriptomics (ST) technology has facilitated detailed examinations of distinct transcriptional profiles and cellular interactions across different spatial domains (18). ...

Immune-tumor interaction dictates spatially directed evolution of esophageal squamous cell carcinoma
  • Citing Article
  • April 2024

National Science Review

... However, tumors have disorganized and chaotic vascular networks and lymphatic vessels that are immature, tortuous, and hyperpermeable 14,15 . The hyperpermeable vasculature and poor lymphatic drainage allow the MNPs to extravasate from the vasculature and remain in the tumors, thereby enhancing the cellular uptake of MNPs by cancer cells, which is known as the enhanced permeability and retention (EPR) effect 16 . The increased uptake and retention of MNPs in cancer cells results in the generation of high local temperatures to effectively ablate cancer cells. ...

Comprehensive multi-omics analysis reveals WEE1 as a synergistic lethal target with hyperthermia through CDK1 super-activation

... In ESCC, low FBXW7 expression is related to high aggressiveness, while FBXW7 overexpression significantly inhibits tumor growth and invasion (Gong et al., 2016;Bi et al., 2023). FBXW7 deficiency in ESCC can overactivate the ANXA2-ERK pathway, worsening the tumor's biological behavior (Li Z. et al., 2023). ...

FBXW7 inhibits the progression of ESCC by directly inhibiting the stemness of tumor cells
  • Citing Article
  • November 2023

Neoplasma

... Then, ATG5-ATG16L and ATG12 complex along with the formation of LC3-II can improve the autophagosome expansion. Autophagy has been comprised of four stages including initiation, autophagosome formation and expansion, autophagosome-lysosome formation and degradation of cargo by autolysosomes to enhance the aggressiveness of LUSC by controlling autophagy through LAMP2 and leading to a negative prognosis [97]. HDAC2 has been shown to increase the expression of LAPTM4B, leading to the advancement of hepatocellular carcinoma through autophagy [98]. ...

TSTA3 overexpression promotes malignant characteristics in LUSC by regulating LAMP2-mediated autophagy and tumor microenvironment

Cancer Cell International

... 6 However, traditional bulk sequencing approaches are often inadequate for capturing these complex interactions. The advent of single-cell RNA sequencing (scRNA-seq) technologies has revolutionized our ability to delineate tumor cells into precise clusters, facilitating the granular analysis of their distinct properties and their interactions within the TME. 13 Despite numerous scRNA-seq investigations examining the heterogeneity inherent in cancer's initiation, progression, and response to therapy, [13][14][15][16] targeted studies dissecting age-related changes in cervical cancer at the single-cell level are notably limited. ...

Multiomic analysis of cervical squamous cell carcinoma identifies cellular ecosystems with biological and clinical relevance

Nature Genetics

... A few studies have investigated blood cell-free DNA (cfDNA) from ovarian cancer patients and linked cfDNA alterations to PARPi resistance. Most of these studies observed genomic changes [3][4][5][6][7][8][9][10]. These studies showed BRCA1/2 reversion mutations in cfDNA from PARPi-resistant patients [5,8,9]. ...

MRE11:p.K464R mutation mediates olaparib resistance by enhancing DNA damage repair in HGSOC

Cell & Bioscience

... Previous studies predominantly relied on conventional biotechnological techniques to assess cell infiltration and activation of signal pathways. Nonetheless, our research has employed cutting-edge bioinformatics tools like ESTIMATE and MCPcounter, facilitating a more accurate evaluation of neutrophil infiltration [54]. Furthermore, our transcriptome sequencing analysis has unveiled a strong correlation between the TGFB1 and Nrf2 signaling pathways, offering novel research insights in this area [55]. ...

STAT4 , a potential predictor of prognosis, promotes CD8 T‑cell infiltration in ovarian serous carcinoma by inducing CCL5 secretion

Oncology Reports