Epithelial cells activate fibroblasts to promote esophageal cancer development

SQLE amplification accelerates esophageal squamous cell carcinoma tumorigenesis and metastasis through oncometabolite 2,3-oxidosqualene repressing Hippo pathway

Esophageal squamous cell carcinoma (ESCC) is one of the most prevalent cancers worldwide, characterized by a dismal prognosis and elusive therapeutic targets. Dysregulated cholesterol metabolism is a critical hallmark of cancer cells, facilitating tumor progression. Here, we used whole genome sequencing data from several ESCC cohorts to identify the important role of squalene epoxidase (SQLE) in promoting ESCC tumorigenesis and metastasis. Specifically, our findings highlight the significance of 2,3-oxidosqualene, an intermediate metabolite of cholesterol biosynthesis, synthesized by SQLE and metabolized by lanosterol synthase (LSS), as a key regulator of ESCC progression. Mechanistically, the interaction between 2,3-oxidosqualene and vinculin enhances the nuclear accumulation of Yes-associated protein 1 (YAP), thereby increasing YAP/TEAD-dependent gene expression and accelerating both tumor growth and metastasis. In a 4-nitroquinoline 1-oxide (4-NQO)-induced ESCC mouse model, overexpression of Sqle resulted in accelerated tumorigenesis compared to wild-type controls, highlighting the pivotal role of SQLE in vivo. Furthermore, elevated SQLE expression in ESCC patients correlates with a poorer prognoses, suggesting potential therapeutic avenues for treatment. In conclusion, our study elucidates the oncogenic function of 2,3-oxidosqualene as a naturally occurring metabolite and proposes modulation of its levels as a promising therapeutic strategy for ESCC.

Annexin A1-FPR1 Interaction in dendritic cells promotes immune microenvironment modulation in Thyroid Cancer

Thyroid cancer (THCA) is profoundly influenced by its immune microenvironment, with dendritic cells (DCs) serving as key mediators of tumor-immune interactions. This study leveraged single-cell RNA sequencing and transcriptome RNA sequencing to analyze DC populations in THCA tissues. The results revealed significant disparities in DC distribution and function, with formyl peptide receptor 1 (FPR1) emerging as a crucial factor associated with patient prognosis. Meta-analysis further validated the differential expression of FPR1, reinforcing its significance in THCA progression. Investigations into the TME highlighted the relationship between FPR1 and DC maturation and activation, elucidating the mechanistic basis for immune regulation. Experimental validation confirmed that Annexin A1 (ANXA1) interacts with FPR1 in DCs, promoting tumor progression through immune modulation. These findings advance the understanding of THCA immune mechanisms and underscore the potential of targeting the ANXA1-FPR1 axis as a novel approach for immunotherapy in THCA.

Effects of FAP+ fibroblasts on cell proliferation migration and immunoregulation of esophageal squamous carcinoma cells through the CXCL12/CXCR4 axis

Cancer-associated fibroblasts (CAFs) secrete and synthesize fibroblast activation protein (FAP), which could promote proliferation and immunosuppression of multiple cancers including esophageal squamous cell carcinoma (ESCC). CXCL12/CXCR4 signaling could be revitalized by CAFs in cancer cells. Nevertheless, the significance of this interaction in ESCC has yet to be elucidated. Herein, we investigated whether FAP+ CAF cells could promote ESCC cells proliferation, migration and regulate immunity through the CXCL12/CXCR4 pathway in vitro and in vivo. The protein expression level of FSP1, FAP, CD8+ and Ki-67 in different sample was estimated by IHC and western blot. qPCR was used to quantify the mRNA level of FSP1, FAP, CD8+ and Ki-67 in different sample. The cell viability, proliferation, migration and invasion of different sample were evaluated by CCK-8, EdU staining, wound healing assay and Transwell assay, respectively. The ELISA was carried out to measure the protein level of IFN-γ, TNF-α, GZMB and IL-2. ESCC xenograft mice model was established to assess the impact of FAP+ CAF. FSP1, FAP, CD8+ and Ki-67 are greatly up-regulated in hESCC tissues. Through CXCL12/CXCR4 axis, FAP-positive CAF was capable of promoting the cell proliferation, migration and invasion of ESCC tumor cells and preventing the CD8+ T cells from secreting cytokine. Blocking this signaling with selective CXCR4 antagonist could counteract the effects caused by high-expression of FAP. FAP+ CAFs could inhibit the occurrence and development of tumors. These results indicated that FAP-positive CAF have an impact on cell proliferation migration and immunoregulation of ESCC through the CXCL12/CXCR4 axis.

Esophageal cancer and precancerous lesions: focus on resident bacteria and fungi

Accumulating evidence highlights the pivotal role of microbiomes in cancer development. To elucidate the esophageal microbiome's characteristics during esophageal squamous cell carcinoma (ESCC) progression, normal tissues from 13 healthy controls (HC), paired esophageal squamous intraepithelial neoplasia (ESIN) lesional and adjacent (ESINA) tissues from 10 ESIN individuals, and ESCC lesional and adjacent (ESCCA) tissues from 12 ESCC individuals were collected. Following 16S rRNA and ITS sequencing, analyses encompassed α/β-diversity assessments, shared species identification, Type-I Taylor's Power Law Extensions (TPLE), linear discriminant analysis effect size (LEfSe), co-occurrence networks, receiver operating characteristic (ROC) curve analysis, and functional predictions. Distinct microbial signatures characterized HC, precancerous, and cancerous groups. The ESIN group exhibited unique microbial features, including diminished bacterial and fungal species sharing relative to the ESINA group and maximal b values in TPLE for both taxa. Despite the absence of significant bacterial composition differences between HC and ESIN in β-diversity analysis, notable alterations in the oral microbiome were observed. ESIN was marked by Lactobacillus and Aspergillus enrichment, while ESCC was predominantly associated with Fusobacterium, Streptococcus, and Alternaria. Disease progression led to shifts and reductions in species co-occurrence network interactions. Aspergillus demonstrated potential diagnostic value for ESIN, and its ratio to pathogenic functional clusters within network analysis significantly enhanced ESCC detection accuracy. Functional predictions revealed stage-specific pathway enrichments. These findings delineate microbiome alterations across ESCC stages, emphasizing ESIN-specific microbial shifts that may inform microbiome-based strategies for early detection and intervention.

IMPORTANCE

This study collected esophageal tissues through gastroscopic biopsy and conducted sequencing and analyses to explore the diversity, heterogeneity, key microbial composition, interaction networks, and functional predictions of resident bacteria and fungi in esophageal squamous cell carcinoma (ESCC) progression. The esophageal squamous intraepithelial neoplasia group showed the highest heterogeneity in oral microbiome and fungi, with certain species potentially contributing to ESCC progression. Targeting the oral microbiome in high-risk populations may thus provide a valuable approach for improving early diagnosis and potentially intervening in disease progression.

Conserved spatial subtypes and cellular neighborhoods of cancer-associated fibroblasts revealed by single-cell spatial multi-omics

Cancer-associated fibroblasts (CAFs) are a multifaceted cell population essential for shaping the tumor microenvironment (TME) and influencing therapy responses. Characterizing the spatial organization and interactions of CAFs within complex tissue environments provides critical insights into tumor biology and immunobiology. In this study, through integrative analyses of over 14 million cells from 10 cancer types across 7 spatial transcriptomics and proteomics platforms, we discover, validate, and characterize four distinct spatial CAF subtypes. These subtypes are conserved across cancer types and independent of spatial omics platforms. Notably, they exhibit distinct spatial organizational patterns, neighboring cell compositions, interaction networks, and transcriptomic profiles. Their abundance and composition vary across tissues, shaping TME characteristics, such as levels, distribution, and state composition of tumor-infiltrating immune cells, tumor immune phenotypes, and patient survival. This study enriches our understanding of CAF spatial heterogeneity in cancer and paves the way for novel approaches to target and modulate CAFs.

Targeting VSIG4+ tissue-resident macrophages enhances T cell cytotoxicity and immunotherapy efficacy in cancer

Tissue-resident macrophage (TRM) is crucial for organ development and homeostasis. However, the role of TRM-derived tumor-associated macrophage (TAM) subpopulations in cancer remains unclear. Using single-cell RNA sequencing and lineage tracing, we reported a TRM-derived TAM subpopulation, characterized by VSIG4 overexpression in testicular cancer. Macroscopically, such subpopulation was also found in tumors such as hepatocellular carcinoma, lung cancer, and glioblastoma. It was associated with poor prognosis and the suppression of CD8+ T-cell-dependent immunity via VSIG4. Notably, VSIG4 promoted immunosuppressive effects through direct or indirect modes, including interacting with receptors on CD8+ T cells or inducing transcription of IL-11 in TAMs. More importantly, MEF2C was identified as a key transcription factor that maintained VSIG4 expression and determined the biological behaviors of VSIG4+ TAMs. In preclinical models, targeting VSIG4+ TAMs via VSIG4 or MEF2C demonstrated a favorable effect of enhancing the efficacy of immune checkpoint inhibitors.

Multi-omics analysis unveils a four-gene prognostic signature in esophageal squamous carcinoma and the therapeutic potential of PKP1

BACKGROUND

Esophageal squamous cell carcinoma (ESCC) is one of the most common malignancies, characterized by high heterogeneity and poor outcomes. Effective classification for patient stratification and identifying reliable markers for prognosis prediction and treatment choice are crucial.

METHODS

Integration of single-cell RNA-sequencing (RNA-seq) and bulk RNA-seq analyses were used to characterize ESCC. Non-negative matrix factorization (NMF) clustering was performed to stratify the ESCC patients into different subtypes and the clinical and pathological features of the ESCC subtypes were compared. Cox regression analysis and LASSO regression analysis were used to select key genes and construct a risk model for ESCC. The associations of the key genes with anti-cancer drug sensitivities in ESCC cell lines were investigated. RT-qRCR experiments, proteomics analysis, and multiplex immunohistochemistry (mIHC) experiments were used to validate the results. Furthermore, one identified gene was selected to investigate its correlation with EGFR expression and the gene effect scores of various potential gene targets across pan-cancer.

RESULTS

The study identified the dysregulated distributions of epithelial cells and fibroblasts as characteristic of ESCC. ESCC patients could be classified into four distinct subtypes with unique cell type features and prognoses. With the gene makers of the cell type features, a four-gene prognostic signature for ESCC was constructed. The CCND1-PKP1-JUP-ANKRD12 model could effectively discriminate the survival status of ESCC patients, independent of various pathological and clinical features. The risk score for the samples was correlated with the expression levels of immunoregulatory genes. The prognostic effects of CCND1, PKP1, and JUP were confirmed at the protein level. The phosphorylation levels of PKP1, JUP, and ANKRD12 were found to be dysregulated in ESCC tumors. Their expression dysregulation and heterogeneity were demonstrated in ESCC cell lines. All four genes were significantly correlated with at least one of the anti-cancer drug sensitivities in ESCC cell lines. PKP1 expression was significantly correlated with EGFR expression and gene effect scores in multiple cancers.

CONCLUSIONS

We conclude that the CCND1-PKP1-JUP-ANKRD12 signature may serve as a novel indicator for ESCC prognosis and diagnosis. PKP1 expression might provide new clues for gene therapy efficacy in multiple cancers.

CXCL12 alone is enough to Reprogram Normal Fibroblasts into Cancer-Associated Fibroblasts

Cancer-associated fibroblasts (CAFs) are critical components of the tumor microenvironment (TME), playing significant roles in regulating cancer progression. However, the underlying mechanism of CAFs activation remains elusive. In this study, we aim to investigates the mechanisms by which CAFs promote the conversion of normal fibroblasts (NFs) to CAFs in lung cancer, with a focus on the role of p53 mutations and the CXCL12/STAT3 signaling axis. We found that CAFs significantly induced NFs to acquire CAFs properties (called CEFs), including upregulation of α-SMA and Vimentin, enhanced proliferation and migration, and increased ability to promote lung cancer cell migration. In vivo, CEFs accelerated A549 xenograft growth and induced spontaneous lung metastasis. CXCL12 was identified as a key factor in NFs-to-CEFs conversion, with its expression positively correlated with CAFs markers in lung cancer. Further investigation confirmed that CXCL12 is sufficient to reprogram NFs into CAFs through the STAT3 pathway. Notably, inhibiting CXCL12 signaling and the STAT3 pathway reduced the conversion of NFs to CAFs, thereby hindering lung cancer progression progression both in vitro and in vivo. Our study reveals CAFs could promote the conversion of NFs to CAFs-like cells through the CXCL12/STAT3 axis, enhancing tumor growth and metastasis in lung cancer. Therefore, inhibition of the CXCL12/STAT3 axis is a promising strategy for the treatment of lung cancers and other CXCL12-dependent malignancies.

Benign non-immune cells in tumor microenvironment

The tumor microenvironment (TME) is a highly complex and continuous evolving ecosystem, consisting of a diverse array of cellular and non-cellular components. Among these, benign non-immune cells, including cancer-associated fibroblasts (CAFs), adipocytes, endothelial cells (ECs), pericytes (PCs), Schwann cells (SCs) and others, are crucial factors for tumor development. Benign non-immune cells within the TME interact with both tumor cells and immune cells. These interactions contribute to tumor progression through both direct contact and indirect communication. Numerous studies have highlighted the role that benign non-immune cells exert on tumor progression and potential tumor-promoting mechanisms via multiple signaling pathways and factors. However, these benign non-immune cells may play different roles across cancer types. Therefore, it is important to understand the potential roles of benign non-immune cells within the TME based on tumor heterogeneity. A deep understanding allows us to develop novel cancer therapies by targeting these cells. In this review, we will introduce several types of benign non-immune cells that exert on different cancer types according to tumor heterogeneity and their roles in the TME.

Regulatory role of annexin A1 in NLRP3 inflammasome activation in atopic dermatitis: insights from keratinocytes in human and murine studies

Despite the well-documented regulatory role of annexin A1 (ANXA1) in numerous stages of the inflammatory response, its involvement in regulating the NLRP3 inflammasome in the context of allergic responses has not been extensively investigated to date. This study evaluated the expression patterns of the ANXA1 and NLRP3 proteins in human skin samples obtained from patients with atopic dermatitis (AD) and in mice with ovalbumin (OVA)-induced experimental AD. Furthermore, the in vitro effect of the ANXA1 mimetic peptide Ac2-26 on IL-4-stimulated human keratinocytes was evaluated. IL-4-stimulated keratinocytes were treated with Ac2-26 (a mimetic peptide of ANXA1) in two different concentrations: 5 and 25 ng/mL. Additionally, some cells were treated with the pan-formyl peptide receptor antagonist Boc2 at a concentration of 10 µM, administered 15 min before Ac2-26. The NLRP3 protein demonstrated intense immunoreactivity in both murine and human AD skin samples, with NLRP3 and ANXA1 exhibiting particularly high coexpression in keratinocytes. A significant increase in ANXA1 and NLRP3 transcripts was observed in AD skins (GSE16161 study). ANXA1 transcript levels were elevated in the AD epidermis relative to the non-lesional epidermis, while NLRP3 transcript levels were reduced in the AD epidermis (GSE120721 study). The Ac2-26 treatment reduced the proliferation rate of IL-4-stimulated keratinocytes, an effect abolished by Boc2 and IL-1β and ROS production. In conclusion, our findings indicate that ANXA1 plays a role in regulating NLRP3 activation in keratinocytes, contributing to the pathogenesis of AD. KEY MESSAGES: ANXA1 and NLRP3 levels are upregulated and exhibit coexpression in murine and human AD skins. ANXA1-FPR axis regulates the proliferation of human keratinocytes under IL-4 stimulation. ANXA1-derived peptide Ac2-26 regulates oxidative stress and NLRP3 activation in human keratinocytes.

CircNF1 modulates the progression and immune evasion of esophageal squamous cell carcinoma through dual regulation of PD-L1

BACKGROUND

Tumor immune escape is a pivotal gateway for esophageal squamous cell carcinoma (ESCC) development. Immune checkpoint-blocking therapies, represented by programmed cell death receptor-1/ligand 1 (PD-1/PD-L1) inhibitors, have achieved remarkable breakthroughs in ESCC treatment. However, not all patients with ESCC receive satisfactory clinical benefit. Therefore, identifying novel biomarkers for predicting the efficacy of immunotherapy in ESCC is of great importance.

METHODS

CircNF1 was screened from the circRNAs microarray, and its expression was measured by droplet digital polymerase chain reaction (ddPCR) and quantitative reverse transcriptase polymerase chain reaction (qRT-PCR) assays in ESCC tissues and serum. Functional experiments were conducted to demonstrate the role of circNF1 in ESCC proliferation, metastasis, and tumor evasion. High-throughput RNA sequencing, chromatin immunoprecipitation (ChIP), co-immunoprecipitation (co-IP), and chromatin isolation by RNA purification-mass spectrometry (ChIRP-MS) were performed to clarify the underlying mechanisms of circNF1-mediated tumor progression.

RESULTS

The upregulation of circNF1 was closely associated with the response of anti-PD-L1 immunotherapy. Functionally, circNF1 promoted ESCC cell malignant phenotypes and regulated CD8+ T-cell-mediated antitumor immunity. Mechanistically, circNF1 drove the IL-6-induced oncogenic activation of the JAK-STAT3 pathway, which stimulated p-STAT3 binding of the promoter regions of PD-L1. Furthermore, circNF1 physically interacted with annexin A1 (ANXA1), blocking the ANXA1 deubiquitination induced by ubiquitin-specific protease 7 (USP7), resulting in increased interaction between USP7 and PD-L1 and augmented PD-L1 stability.

CONCLUSIONS

Our findings provide novel insights into the specific regulatory mechanism of PD-L1 in ESCC cells, which offer a new strategy for synergizing with anti-PD-L1 therapy.

Hypoxia-Induced Senescent Fibroblasts Secrete IGF1 to Promote Cancer Stemness in Esophageal Squamous Cell Carcinoma

Cancer-associated fibroblasts (CAF) contribute to cancer initiation and progression and play a pivotal role in therapeutic response and patient prognosis. CAFs exhibit functional and phenotypic heterogeneity, highlighting the need to clarify the specific subtypes of CAFs to facilitate the development of targeted therapies against protumorigenic CAFs. In this study, using single-cell RNA sequencing on patient samples of esophageal squamous cell carcinoma (ESCC), we identified a CAF subcluster associated with tumor stemness that was enriched in genes associated with hypoxia and senescence. The CAF subpopulation, termed as hypoxia-induced senescent fibroblasts (hsCAF), displayed high secretion of insulin-like growth factor 1 (IGF1). The hsCAFs inhibited AMP-activated protein kinase (AMPK) activity in cancer cells via IGF1 to promote tumor stemness. The formation of hsCAFs was induced by the synergetic effect of hypoxia and cancer cells. Activation of nuclear factor erythroid 2-related factor 2 (NRF2) in cancer cells under hypoxia drove IL1α production to trigger CAF senescence and IGF1 secretion via nuclear factor I A. Knockout of IGF1 in CAFs or nuclear factor erythroid 2-related factor 2 in ESCC cells suppressed the tumor growth and chemotherapy resistance induced by CAFs in vivo. Importantly, patients with high proportions of hsCAFs showed poor survival and a worse response to chemotherapy. In summary, these findings identify a hsCAF subpopulation generated by interplay between cancer cells and CAFs under hypoxic conditions that promotes ESCC stemness and reveal targeting hsCAFs as an effective therapeutic strategy against chemotherapy-resistant ESCC. Significance: A hypoxic microenvironment and cancer cells cooperate to induce a senescent fibroblast subset that supports tumor stemness, suggesting that targeting this cancer-associated fibroblast subpopulation is a potential therapeutic strategy to overcome chemoresistance.

Single-cell multi-stage spatial evolutional map of esophageal carcinogenesis

Cancer development involves the co-evolution of cancer cells and their surrounding microenvironment, yet the dynamics of this interaction within the physical architecture remains poorly understood. Here, we present a spatial transcriptomic map at single-cell resolution, encompassing 127 multi-stage fields of view from 43 patients, to chart the evolutionary trajectories of human esophageal squamous cell carcinoma (ESCC). By analyzing 6.4 million cells, we reveal that ESCC progression is driven by a proliferative epithelial cell subpopulation that acquires dedifferentiated and invasive characteristics. At the late precancerous stage, these cells disrupt the epithelial-stromal interface and recruit normal fibroblasts via JAG1-NOTCH1 signaling, transforming them into cancer-associated fibroblasts (CAFs). This interaction leads to the formation of a "CAF-Epi" (CAF and epithelial cell) niche at the tumor edge that shields the tumor from immune surveillance. The CAF-Epi niche formation is a key indicator of progression in ESCC and other squamous cell carcinomas and patient outcomes.

Identification of lactylation-associated fibroblast subclusters predicting prognosis and cancer immunotherapy response in colon cancer

BACKGROUND

Lactylation plays an important role in tumor progression. This study aimed to clarify the impact of lactylation on cancer-associated fibroblasts(CAFs).

METHODS

Single-cell and bulk RNA sequence data, along with survival information, were obtained from TCGA and GEO datasets. Significant lactylation-associated genes were acquired by differential analysis and used to construct a prognostic model via Cox and LASSO regression analyses. Next, single-cell analysis, enrichment and pathway analysis, pseudotemporal trajectory and survival analysis were used to identify significant lactylation-associated fibroblast subclusters in colon cancer. IMvigor210 and PRJEB23709 cohorts were applied to assess the response to immunotherapy. In vitro experiments were conducted to explore how lactylation affect fibroblasts.

RESULTS

We established a lactylation-associated prognostic model with 17 risk genes in TCGA and further validated it in GEO datasets. Single-cell analysis revealed the lactylation level of fibroblasts in colon cancer was greater than that in normal tissues. Moreover, five lactylation-associated fibroblast subclusters were identified via the NMF algorithm. Patients with lower scores of FB_2_CALD1, FB_3_TPM4 and FB_4_AHNAK subclusters had better clinical prognosis in colon cancer and were more likely to benefit from immunotherapy. Further experiments demonstrated that lactylation could enhance the proliferation, migration and invasion ability of fibroblasts and up-regulate the expression of COL1A1, which was similar to the effect of colon cancer cells.

CONCLUSION

This study identified key fibroblast subclusters with prognostic value and implied that lactylation might help transform fibroblasts into CAFs in colon cancer for the first time, which provides new paths for understanding the evolution of CAFs and cancer therapeutic strategies.

Targeting glycolysis in esophageal squamous cell carcinoma: single-cell and multi-omics insights for risk stratification and personalized therapy

Background

Esophageal squamous cell carcinoma (ESCC) is closely linked to aberrant glycolytic metabolism, a hallmark of cancer progression, immune evasion, and therapy resistance. This study employs single-cell transcriptomics and multi-omics approaches to unravel glycolysis-mediated mechanisms in ESCC, with a focus on risk stratification and therapeutic opportunities.

Methods

Data from TCGA and GEO databases were integrated with single-cell RNA sequencing, bulk RNA sequencing, as well as clinical datasets to investigate glycolysis-associated cell subtypes and their clinical implications in ESCC. Analytical approaches encompassed cell subtype annotation, cell-cell communication network analysis, and gene regulatory network modeling. A glycolysis-related risk score model was built via non-negative matrix factorization (NMF) and Cox regression, and then experimentally verified through Western blotting. Drug sensitivity analyses were carried out to explore potential therapeutic strategies.

Results

Single-cell analysis identified epithelial cells as the dominant glycolysis-active subtype, and tumor tissues showed significantly higher glycolytic activity than adjacent normal tissues. Among malignant epithelial subpopulations, IGFBP3+Epi (IGFBP3-expressing epithelial cells) and LHX9+Epi (LHX9-expressing epithelial cells) had elevated glycolysis levels, which correlated with poor prognosis, immune suppression, and changes in the tumor microenvironment. The seven-gene glycolysis-based risk score model divided patients into high- and low-risk groups, demonstrating strong prognostic performance. Drug sensitivity analysis showed high-risk patients were more responsive to Navitoclax as well as Rapamycin, but low-risk ones were more sensitive to Afatinib and Erlotinib, highlighting the model's usefulness in guiding personalized treatment.

Conclusion

This research emphasizes the crucial role of glycolysis in ESCC progression a well as immune modulation, offering a novel glycolysis-related risk score model with significant prognostic and therapeutic implications. These findings provide a basis for risk-based stratification and tailored therapeutic strategies, advancing precision medicine in ESCC.

Association between cancer-associated fibroblasts and prognosis of neoadjuvant chemoradiotherapy in esophageal squamous cell carcinoma: a bioinformatics analysis based on single-cell RNA sequencing

BACKGROUND

Esophageal squamous cell carcinoma (ESCC) is a prevalent and aggressive subtype of esophageal cancer, posing a significant mortality and economic burden, especially in East and Southeast Asia. Current therapeutic strategies have limitations in improving patient survival, particularly regarding disease progression and resistance. This study aimed to investigate the impact of neoadjuvant chemoradiotherapy (NCRT) on the ESCC microenvironment.

METHODS

We utilized single-cell RNA sequencing to systematically characterize the tumor and cancer-associated fibroblasts (CAFs) subtypes. Marker genes of myofibroblastic CAFs (myCAFs) were employed to establish a prognostic model and verify its application in other datasets. Other experiments were conducted on clinical samples to explore potential ESCC risk-related genes.

RESULTS

Our bioinformatics and statistical analyses revealed an increased proportion of fibroblasts and epithelial cells in NCRT and identified the Ep_c1 subtype associated with a better prognosis. Further results indicated a complex communication network between Ep_c1 and myCAFs. The top 30 marker genes of myCAFs were used to construct a prognostic signature with a significant response to immunotherapy. Finally, experiments identified Complement C1s subcomponent (C1S), Decorin (DCN), and Neuroblastoma suppression of tumorigenicity 1 (NBL1) as potential ESCC risk-related genes.

CONCLUSION

Our findings highlight the dynamic alterations in the post-NCRT ESCC microenvironment and provide a foundation for the development of personalized treatment and immunotherapeutic approaches. Future studies are warranted to further validate these findings and explore their clinical implications.

Single-cell Analysis Highlights Anti-apoptotic Subpopulation Promoting Malignant Progression and Predicting Prognosis in Bladder Cancer

Backgrounds

Bladder cancer (BLCA) has a high degree of intratumor heterogeneity, which significantly affects patient prognosis. We performed single-cell analysis of BLCA tumors and organoids to elucidate the underlying mechanisms.

Methods

Single-cell RNA sequencing (scRNA-seq) data of BLCA samples were analyzed using Seurat, harmony, and infercnv for quality control, batch correction, and identification of malignant epithelial cells. Gene set enrichment analysis (GSEA), cell trajectory analysis, cell cycle analysis, and single-cell regulatory network inference and clustering (SCENIC) analysis explored the functional heterogeneity between malignant epithelial cell subpopulations. Cellchat was used to infer intercellular communication patterns. Co-expression analysis identified co-expression modules of the anti-apoptotic subpopulation. A prognostic model was constructed using hub genes and Cox regression, and nomogram analysis was performed. The tumor immune dysfunction and exclusion (TIDE) algorithm was applied to predict immunotherapy response.

Results

Organoids recapitulated the cellular and mutational landscape of the parent tumor. BLCA progression was characterized by mesenchymal features, epithelial-mesenchymal transition (EMT), immune microenvironment remodeling, and metabolic reprograming. An anti-apoptotic tumor subpopulation was identified, characterized by aberrant gene expression, transcriptional instability, and a high mutational burden. Key regulators of this subpopulation included CEBPB, EGR1, ELF3, and EZH2. This subpopulation interacted with immune and stromal cells through signaling pathways such as FGF, CXCL, and VEGF to promote tumor progression. Myofibroblast cancer-associated fibroblasts (mCAFs) and inflammatory cancer-associated fibroblasts (iCAFs) differentially contributed to metastasis. Protein-protein interaction (PPI) network analysis identified functional modules related to apoptosis, proliferation, and metabolism in the anti-apoptotic subpopulation. A 5-gene risk model was developed to predict patient prognosis, which was significantly associated with immune checkpoint gene expression, suggesting potential implications for immunotherapy.

Conclusions

We identified a distinct anti-apoptotic tumor subpopulation as a key driver of tumor progression with prognostic significance, laying the foundation for the development of new therapeutic strategies to improve patient outcomes.

KRT7 promotes pancreatic cancer metastasis by remodeling the extracellular matrix niche through FGF2-fibroblast crosstalk

Pancreatic ductal adenocarcinoma (PDAC) is a devastating cancer with a dismal prognosis due to distant metastasis. Through an analysis of large RNA sequencing and proteomics datasets, we found that high KRT7 expression in PDAC patients was correlated with liver metastasis and poor survival. A functional investigation revealed that the overexpression of KRT7 promoted liver metastasis but did not affect tumor cell proliferation in vivo or in vitro. Analysis of scRNA-Seq data from 24 PDAC samples revealed a negative correlation between KRT7 expression in PDAC cells and cancer-associated fibroblast (CAF) infiltration, and this was further confirmed in orthotopic tumor model mice injected with KRT7-overexpressing PDAC cells, which led the development of to a prometastatic niche with reduced ECM deposition. Mechanistically, KRT7 in PDAC cells promoted the secretion of FGF2, which inhibited CAF proliferation and ECM-related gene transcription through the Wnt/β-catenin pathway. Moreover, targeting FGF2 decreased liver metastasis in vivo. Our study revealed that KRT7 promotes PDAC liver metastasis by remodeling the extracellular matrix niche through FGF2-fibroblast crosstalk and provides a promising strategy for preventing PDAC liver metastasis.

Tendomodulin in pan-cancer analysis: exploring its impact on immune modulation and uncovering functional insights in colorectal cancer

BACKGROUND

Tendomodulin (TNMD) is pivotal in various malignancies, including colorectal cancer (CRC). However, its comprehensive impact across cancers, particularly its immunomodulatory function in CRC, remains underexplored. This study explored the role of TNMD in CRC by focusing on its immunomodulatory functions through comprehensive molecular and clinical analyses.

METHODS

Multiple bioinformatics databases and analytical tools were utilized for the TNMD in pan-cancer analysis. To validate the role of TNMD in CRC, we performed experiments, including immunofluorescence (IF), immunohistochemistry (IHC), real-time quantitative reverse transcription PCR (qPCR), western blotting, and cell migration assays.

RESULTS

TNMD expression and gene mutation vary across cancers and offer high diagnostic value. Survival analysis found that TNMD is associated with prognosis in multiple cancers. Notably, in patients with high microsatellite instability (MSI-H) CRC, TNMD expression correlated positively with various immune cells, particularly natural killer (NK) cells, whereas it was inversely correlated with regulatory T cells (Tregs). Crucially, in patients with microsatellite stability (MSS) CRC, high TNMD expression was associated with better immunotherapy outcomes, indicating its potential as a biomarker for patient stratification and tailored treatment approaches. Furthermore, single-cell sequencing data revealed stronger interactions between TNMD-positive tumor cells and fibroblasts or macrophages in the tumor microenvironment. Finally, TNMD was overexpressed in CRC tumor tissues and cell lines, thereby promoting invasion and metastasis.

CONCLUSIONS

Our findings reveal a critical immunomodulatory role of TNMD in CRC, particularly in influencing tumor-immune interactions. Beyond its potential diagnostic and prognostic biomarker, TNMD promotes CRC metastasis and invasion, thus emerging as a promising therapeutic target. These findings highlight TNMD's significance in CRC and potentially other malignancies.

Deciphering the generation of heterogeneity in esophageal squamous cell carcinoma metastasis via single-cell multiomics analysis

BACKGROUND

Chromatin accessibility plays a crucial role in mediating transcriptional dysregulation and heterogeneity in Esophageal Squamous Cell Carcinoma (ESCC). Examining the chromatin accessibility of ESCC at single-cell level is imperative to understand how it activates oncogenes and contributes to the onset and metastasis of ESCC.

METHODS

We performed single-cell assay for transposase-accessible chromatin sequencing (scATAC-seq) on cancerous and adjacent noncancerous tissues from four ESCC patients who were pathological staged as T1a, T2b, T3b, or T4a, to investigate whether regulatory elements are pivotal in instigating cellular heterogeneity during ESCC metastasis. In conjunction, we integrated these data with 55 scRNA-seq datasets, ChIP-seq or CUT&Tag sequencing data, Hi-C sequencing data, bulk RNA-seq data, and bulk ATAC-seq data from ESCC cell lines to dissect the mechanisms underlying the heterogeneity of ESCC and tumor microenvironment (TME).

RESULTS

Our study identified enhancer-specific activation within epithelial cells orchestrated by the three-dimensional structure of chromatin that regulates SERPINH1 transcription, and promotes the epithelial-mesenchymal transition (EMT) and metastasis of ESCC. Additionally, chromatin element activation facilitated the expression of TNFSF4 in CD8 + exhausted T cells, thereby activating Tregs. Furthermore, we observed that chromatin accessibility promoted the differentiation of tumor-associated macrophages (TAMs) and cancer associated fibroblasts (CAFs).

CONCLUSIONS

In summary, utilizing multiomics analyses, we have revealed chromatin accessibility maps and illuminated the intricate molecular mechanisms that underlie cellular heterogeneity during ESCC metastasis, offering valuable insights to further advance research on tumor progression and deterioration.

Unraveling the tumor microenvironment of esophageal squamous cell carcinoma through single-cell sequencing: A comprehensive review

Esophageal squamous cell carcinoma (ESCC) is a highly heterogeneous and aggressive malignancy. The progression, invasiveness, and metastatic potential of ESCC are shaped by a multitude of cells within the tumor microenvironment (TME), including tumor cells, immune cells, endothelial cells, as well as fibroblasts and other cell types. Recent advancements in single-cell sequencing technologies have significantly enhanced our comprehension of the diverse landscape of ESCC. Single-cell multi-omics technology, particularly single-cell transcriptome sequencing, have shed light on the expression profiles of individual cells and the molecular characteristics of distinct tumor cell populations. This review summarizes the latest literature on single-cell research in the field of ESCC, aiming to elucidate the heterogeneity of tumor cells, immune cells, and stromal cells at the single-cell level. Furthermore, it explores the impact of cellular interactions within the TME on the progression of ESCC. By compiling a comprehensive overview of single-cell omics research on ESCC, this article aims to enhance our understanding of ESCC diagnosis and treatment by elucidating the intricate interplay within the TME. It explores the cellular composition, spatial arrangement, and functional attributes of the ESCC TME, offering potential therapeutic targets and biomarkers for personalized treatment strategies.

Integrative analysis disclosing UQCRC1 as a potential prognostic and immunological biomarker of lung adenocarcinoma

Lung cancer is one of the most malignant cancers in the world. Approximately 40 % of lung cancer cases are lung adenocarcinoma (LUAD). Exploring new biomarkers was an urgent need for treatments of LUAD. Here, we aimed to perform a pan-cancer analysis of ubiquinol-cytochrome c reductase core protein 1 (UQCRC1) and verify it in LUAD. Compared to normal samples, we observed that UQCRC1 was significantly enhanced in cervical squamous cell carcinoma and endocervical adenocarcinoma (CESC), LUAD, liver hepatocellular carcinoma (LIHC), and several other cancers. In terms of overall survival, UQCRC1 was positively associated with poor prognosis of LUAD and skin cutaneous melanoma (SKCM). Almost more than 8 % deeply deleted frequency of UQCRC1 was showed in lymphoid neoplasm diffuse large B-cell lymphoma (DLBC). In LUAD, SKCM, and a few cancers, UQCRC1 was negatively correlated with the infiltration of B cells and cancer-associated fibroblasts. As regards further mechanism analysis, we found that UQCRC1 modulated cancer progression via mitochondrial related metabolism and oxidative phosphorylation. Taking advantage of the Kras-driven spontaneous LUAD mice model, online single-cell data, and clinical tissues, we particularly confirmed that UQCRC1 was highly expressed in LUAD and acted as a prognostic marker for LUAD. These findings implied that UQCRC1 played an important role in cancers, especially in LUAD.

Single-Cell Sequencing Reveals Heterogeneity and Interactions Between Epithelial Cells and Fibroblasts in Post-ESD Oesophageal Stricture

Oesophageal stricture, especially circumferential lesions, is a common complication of endoscopic submucosal dissection (ESD). However, the exact mechanisms underlying its development remain unclear. Consequently, understanding tissue microenvironment changes is crucial for identifying therapeutic targets. To address this, single-cell RNA sequencing (scRNA-seq) was performed on oesophageal stricture samples and normal controls. Alterations in cellular composition were observed, particularly in epithelial, endothelial, fibroblast and immune cells. A notable increase was observed in the number of differentiating suprabasal cell_2 (DFSC_2), which displayed pro-keratinizing traits. Detailed investigations revealed augmentation in a subset of these cells, characterised by elevated FTH1 and ECM1 expression, indicating their role in epithelial remodelling. Furthermore, fibroblast heterogeneity was demonstrated, with significant activation of myofibroblasts within stricture tissues. MDK-NCL, CXCL5/6-CXCR2, and TGFA-EGFR ligand-receptor pairs were enhanced in stricture tissues, mediating epithelial-stromal interactions. This study dissected the transcriptional landscape of postoperative oesophageal stricture tissues, providing valuable insights into stricture mechanisms and potential preventive strategies.

Metabolic reprogramming and immunological changes in the microenvironment of esophageal cancer: future directions and prospects

Background

Esophageal cancer (EC) is the seventh-most prevalent cancer worldwide and is a significant contributor to cancer-related mortality. Metabolic reprogramming in tumors frequently coincides with aberrant immune function alterations, and extensive research has demonstrated that perturbations in energy metabolism within the tumor microenvironment influence the occurrence and progression of esophageal cancer. Current treatment modalities for esophageal cancer primarily include encompass chemotherapy and a limited array of targeted therapies, which are hampered by toxicity and drug resistance issues. Immunotherapy, particularly immune checkpoint inhibitors (ICIs) targeting the PD-1/PD-L1 pathway, has exhibited promising results; however, a substantial proportion of patients remain unresponsive. The optimization of these immunotherapies requires further investigation. Mounting evidence underscores the importance of modulating metabolic traits within the tumor microenvironment (TME) to augment anti-tumor immunotherapy.

Methods

We selected relevant studies on the metabolism of the esophageal cancer tumor microenvironment and immune cells based on our searches of MEDLINE and PubMed, focusing on screening experimental articles and reviews related to glucose metabolism, amino acid metabolism, and lipid metabolism, as well their interactions with tumor cells and immune cells, published within the last five years. We analyzed and discussed these studies, while also expressing our own insights and opinions.

Results

A total of 137 articles were included in the review: 21 articles focused on the tumor microenvironment of esophageal cancer, 33 delved into research related to glucose metabolism and tumor immunology, 30 introduced amino acid metabolism and immune responses, and 17 focused on the relationship between lipid metabolism in the tumor microenvironment and both tumor cells and immune cells.

Conclusion

This article delves into metabolic reprogramming and immune alterations within the TME of EC, systematically synthesizes the metabolic characteristics of the TME, dissects the interactions between tumor and immune cells, and consolidates and harnesses pertinent immunotherapy targets, with the goal of enhancing anti-tumor immunotherapy for esophageal cancer and thereby offering insights into the development of novel therapeutic strategies.

Genetically Defined Organoid Models Reveal Mechanisms Driving Squamous Cell Neoplastic Evolution and Identify Potential Therapeutic Vulnerabilities

Upper aerodigestive squamous cell carcinoma (UASCC) is an aggressive and lethal neoplasm, with its early neoplastic transformation mechanisms remaining poorly understood. Here, we characterize over 25 genetically-defined organoid models derived from murine and human oral/esophageal tissues harboring key driver mutations. Double knockout of TP53 and CDKN2A induced morphological dysplasia, hyperproliferation, loss of squamous differentiation, and tumorigenicity, which were further exacerbated by additional driver mutations (e.g., PIK3CA, NOTCH1, KMT2C). Single-cell analysis revealed an expansion of quiescent basal cells and proliferative squamous cells, alongside a loss of differentiated squamous cells during malignant transformation. A distinct senescence program, regulated by ANXA1, was markedly diminished during early neoplastic evolution. Mechanistically, the ANXA1-SMAD3-p27KIP1 pathway was identified as a critical regulator of this senescence program, acting to suppress neoplastic features in organoid models. Lastly, our high-throughput, single-organoid-resolution drug screens unexpectedly revealed PIK3CA-driven organoids exhibited sensitivity to Mitomycin C and Onalespib. This study provides novel mechanistic insights into early neoplastic evolution and underscores the value of genetically-defined organoid models for investigating cancer biology and identifying targeted therapies.

Cancer-associated fibroblasts in carcinogenesis

In contemporary times, cancer poses the most significant threat to human life and safety. Scientists have relentlessly pursued the intricacies of carcinogenesis and explored ways to prevent and treat cancer. Carcinogenesis is a complex, multi-faceted, and multi-stage process, with numerous underlying causes, including inflammation and fibrosis. Cancer-associated fibroblasts (CAFs), however, occupy a pivotal and substantial role within the tumor microenvironment, facilitating carcinogenesis through diverse mechanisms such as creating inflammation, fostering a fibrotic tumor microenvironment, and immunosuppression. In this paper, we introduce the concept of carcinogenesis, explain its causes, describe the characteristics of CAFs and their sources, and highlight the roles and mechanisms of CAFs in promoting carcinogenesis. Ultimately, our aim is to contribute to the development of novel therapeutic strategies for cancer treatment.

Cancer-associated fibroblasts induce almonertinib resistance in non-small cell lung cancer

BACKGROUND

Almonertinib is the initial third-generation EGFR-TKI in China, but its resistance mechanism is unknown. Cancer-associated fibroblasts (CAFs) are essential matrix components in the tumor microenvironment, but their impact on almonertinib resistance is unknown. This study aimed to explore the correlation between CAFs and almonertinib resistance in non-small cell lung cancer (NSCLC).

METHODS

The anti-cancer effects of almonertinib on NSCLC cells, as well as the reversal of these effects mediated by CAFs, were validated through phenotypic experiments. Differential gene expression analysis, along with GO and KEGG enrichment analyses, was performed to predict the potential mechanisms underlying resistance to third-generation EGFR-TKIs. Finally, qPCR and Western blot analyses were used to explore the signaling pathways by which CAFs induce resistance to almonertinib in NSCLC cells.

RESULTS

Our findings revealed that almonertinib significantly suppressed the invasion, migration, and proliferation of EGFR T790M-mutant NSCLC cells. TGF-β1 successfully induced the differentiation of CAFs and upregulated the expression of CAF markers, including α-SMA and fibroblast activation protein (FAP). Exposure of H1975 cells to almonertinib increased TGF-β1 secretion. Additionally, CAFs enhanced the survival of almonertinib-treated NSCLC cells, whereas normal fibroblasts (NFs) exerted the opposite effect. qPCR analysis demonstrated that the expression of the core molecules of the Hippo pathway, YAP and TAZ, was lower in A549 cells than in H1975 cells, and CAF intervention further reduced YAP/TAZ expression in H1975 cells. Western blot analysis confirmed a significant reduction in YAP/TAZ protein levels in cancer cells treated with CAF-conditioned medium (CAF-CM) compared to those treated with normal control-conditioned medium (NC-CM). Finally, we demonstrated that CAFs induced resistance to almonertinib in NSCLC cells, potentially through a mechanism involving YAP/TAZ.

CONCLUSION

This study demonstrated that H1975 cells stimulated by almonertinib promoted the accumulation of CAFs in NSCLC cells, likely through increased secretion of TGF-β1. The accumulation of CAFs enhanced the survival of NSCLC cells undergoing almonertinib treatment and induced drug resistance. Additionally, the mechanism underlying CAF-induced drug resistance in NSCLC cells was potentially linked to the activation of the YAP/TAZ signaling pathway.

Cancer-associated fibroblast-derived extracellular vesicles: regulators and therapeutic targets in the tumor microenvironment

Cancer-associated fibroblasts (CAFs) constitute a critical component of the tumor microenvironment (TME). CAFs can be reprogrammed by cancer cells, leading to the production of extracellular vesicles (EVs). These EVs serve as carriers for bioactive substances, including proteins, nucleic acids, and metabolic products, thereby facilitating tumor progression. CAF-derived EVs exert substantial influence on tumor cell proliferation, invasion, and metastasis, the immunological environment, and the processes of lymphangiogenesis and angiogenesis. Despite their potential as non-invasive biomarkers and therapeutic delivery vehicles, the clinical application of CAF-derived EVs is currently limited by challenges in purification and precise targeting. This review delineates the diverse roles of CAF-derived EVs in tumor growth, metastasis, and immune evasion within the TME.

Protocol for constructing whole-genome libraries from mini-biopsies by using laser capture microdissection

Disclosure of the key events in tumor progress will help us deepen the understanding of tumorigenesis. Here, we present a protocol for multi-regional tissue capture of malignant continuum. We describe steps for preparing tissue sections, laser capture microdissection, and whole-genome library preparation, which enable the concurrent analysis of potential driver events in precancer initiation. This protocol overcomes challenges posed by limited DNA quantity and preserves the spatial information of the target regions. For complete details on the use and execution of this protocol, please refer to Li et al.,1 Chang et al.,2 and Chen et al.3.

Protocol for the generation, characterization, and functional assays of organoid cultures from normal and cancer-prone human esophageal tissues

Multiple sampling strategies to cover different or dynamic stages of malignant continuum with organoid cultures provide a valuable platform for epithelium homeostasis, transformation, and cancer progression. Here, we present a protocol to initiate, culture, passage, and characterize organoids from normal and cancer-prone human esophageal tissues. We describe steps for multiple sampling of malignant continuum and the initiation and maintenance of multi-stage organoids. We then detail procedures for the histological characterization of organoids and co-culture systems based on organoids and stromal cells. For complete details on the use and execution of this protocol, please refer to Chen et al.1.

Spatial transcriptome profiling identifies DTX3L and BST2 as key biomarkers in esophageal squamous cell carcinoma tumorigenesis

BACKGROUND

Understanding the stepwise progression of esophageal squamous cell carcinoma (ESCC) is crucial for developing customized strategies for early detection and optimal clinical management. Herein, we aimed to unravel the transcriptional and immunologic alterations occurring during malignant transformation and identify clinically significant biomarkers of ESCC.

METHODS

Digital spatial profiling (DSP) was performed on 11 patients with early-stage ESCC (pT1) to explore the transcriptional alterations in epithelial, immune cell, and non-immune cell stromal compartments across regions of distinct histology, including normal tissues, low- and high-grade dysplasia, and cancerous tissues. Furthermore, single-cell spatial transcriptomics was performed using the CosMx Spatial Molecular Imaging (SMI) system on 4 additional patients with pT1 ESCC. Immunohistochemical (IHC) analysis was performed on consecutive histological sections of 20 pT1 ESCCs. Additionally, public bulk and single-cell RNA-sequencing (scRNA-seq) datasets were analyzed, and in vitro and in vivo functional studies were conducted.

RESULTS

Spatial transcriptional reprogramming and dynamic cell signaling pathways that determined ESCC progression were delineated. Increased infiltration of macrophages from normal tissues through dysplasia to cancerous tissues occurred. Macrophage subtypes were characterized using the scRNA-seq dataset. Cell-cell communication analysis of scRNA-seq and SMI data indicated that the migration inhibitory factor (MIF)-CD74 axis may exhibit pro-tumor interactions between macrophages and epithelial cells. DSP, SMI, and IHC data demonstrated that DTX3L expression in epithelial cells and BST2 expression in stromal cells increased gradually with ESCC progression. Functional studies demonstrated that DTX3L or BST2 knockdown inhibited ESCC proliferation and migration and decreased M2 polarization of tumor-associated macrophages.

CONCLUSIONS

Spatial profiling comprehensively characterized the molecular and immunological hallmarks from normal tissue to ESCC, guiding the way to a deeper understanding of the tumorigenesis and progression of this disease and contributing to the prevention of ESCC. Within this exploration, we uncovered biomarkers that exhibit a robust correlation with ESCC progression, offering potential new avenues for insightful therapeutic approaches.

Single-cell multi-omics in the study of digestive system cancers

Digestive system cancers are prevalent diseases with a high mortality rate, posing a significant threat to public health and economic burden. The diagnosis and treatment of digestive system cancer confront conventional cancer problems, such as tumor heterogeneity and drug resistance. Single-cell sequencing (SCS) emerged at times required and has developed from single-cell RNA-seq (scRNA-seq) to the single-cell multi-omics era represented by single-cell spatial transcriptomics (ST). This article comprehensively reviews the advances of single-cell omics technology in the study of digestive system tumors. While analyzing and summarizing the research cases, vital details on the sequencing platform, sample information, sampling method, and key findings are provided. Meanwhile, we summarize the commonly used SCS platforms and their features, as well as the advantages of multi-omics technologies in combination. Finally, the development trends and prospects of the application of single-cell multi-omics technology in digestive system cancer research are prospected.

Emerging strategies to investigate the biology of early cancer

Early detection and intervention of cancer or precancerous lesions hold great promise to improve patient survival. However, the processes of cancer initiation and the normal-precancer-cancer progression within a non-cancerous tissue context remain poorly understood. This is, in part, due to the scarcity of early-stage clinical samples or suitable models to study early cancer. In this Review, we introduce clinical samples and model systems, such as autochthonous mice and organoid-derived or stem cell-derived models that allow longitudinal analysis of early cancer development. We also present the emerging techniques and computational tools that enhance our understanding of cancer initiation and early progression, including direct imaging, lineage tracing, single-cell and spatial multi-omics, and artificial intelligence models. Together, these models and techniques facilitate a more comprehensive understanding of the poorly characterized early malignant transformation cascade, holding great potential to unveil key drivers and early biomarkers for cancer development. Finally, we discuss how these new insights can potentially be translated into mechanism-based strategies for early cancer detection and prevention.

Unraveling disulfidptosis for prognostic modeling and personalized treatment strategies in lung adenocarcinoma

AIM

To construct and identify a prognostic and therapeutic signature based on disulfidptosis-related genes in lung adenocarcinoma.

METHODS

Bioinformatic analysis was performed to assess the differential expression of disulfidptosis-related genes between cancerous and control samples from The Cancer Genome Atlas-Lung Adenocarcinoma (TCGA-LUAD) database. Survival analysis, immune cell infiltration assessment, and examination of oncogenic pathways were performed to uncover potential clinical implications of disulfidptosis gene expression. Differential gene expression analysis between subtypes facilitated the development of a prognostic model using a combination of genes associated with survival. A nomogram was further created using independent clinical and molecular factors.

RESULTS

We identified the significant upregulation of ten disulfidptosis-related genes and delineated two distinct subtypes, C1 and C2. Subtype C2 was associated with prolonged survival. Then, prognostic modeling utilizing six genes (TXNRD1, CPS1, S100P, SCGB3A1, CYP24A1, NAPSA) demonstrated predictive power in both training and validation datasets. The nomogram, incorporating the risk model with clinical features, provided a reliable tool for predicting one-year (AUC 0.77), three-year (AUC 0.75), and five-year (AUC 0.78) survival rates. Additionally, chemotherapy sensitivity analysis highlighted significant resistance in the high-risk group, primarily associated with subtype C1.

CONCLUSION

Our study reveals distinct LUAD subtypes, offers a robust prognostic model, and underscores clinical implications for personalized therapy based on disulfidptosis-related genes expression profiles.

Targeting esophageal carcinoma: molecular mechanisms and clinical studies

Esophageal cancer (EC) is identified as a predominant health threat worldwide, with its highest incidence and mortality rates reported in China. The complex molecular mechanisms underlying EC, coupled with the differential incidence of esophageal squamous cell carcinoma (ESCC) and esophageal adenocarcinoma (EAC) across various regions, highlight the necessity for in-depth research targeting molecular pathogenesis and innovative treatment strategies. Despite recent progress in targeted therapy and immunotherapy, challenges such as drug resistance and the lack of effective biomarkers for patient selection persist, impeding the optimization of therapeutic outcomes. Our review delves into the molecular pathology of EC, emphasizing genetic and epigenetic alterations, aberrant signaling pathways, tumor microenvironment factors, and the mechanisms of metastasis and immune evasion. We further scrutinize the current landscape of targeted therapies, including the roles of EGFR, HER2, and VEGFR, alongside the transformative impact of ICIs. The discussion extends to evaluating combination therapies, spotlighting the synergy between targeted and immune-mediated treatments, and introduces the burgeoning domain of antibody-drug conjugates, bispecific antibodies, and multitarget-directed ligands. This review lies in its holistic synthesis of EC's molecular underpinnings and therapeutic interventions, fused with an outlook on future directions including overcoming resistance mechanisms, biomarker discovery, and the potential of novel drug formulations.

Cancer-Associated Endocrine Cells Participate in Pancreatic Carcinogenesis

BACKGROUND & AIMS

The pancreas is composed of endocrine and exocrine parts, and its interlacing structure indicates potential interaction between endocrine and exocrine cells. Although the tumor microenvironment of pancreatic ductal adenocarcinoma (PDAC) has been well characterized, the role of pancreatic endocrine cells during carcinogenesis is relatively understudied.

METHODS

The changes of endocrine cells in PDAC by single-cell transcriptome sequencing, spatial transcriptome sequencing, and multiplex immunohistochemistry were depicted. After that, the interaction between pancreatic carcinogenesis and endocrine changes was explored in orthotopic transplantation mice, KrasLSL-G12DPdx1-Cre mice, and KrasLSL-G12Dp53LoxPPdx1-CreER mice. Finally, we proved the mechanism of the interaction between endocrine and exocrine parts of the pancreas through islet isolation, co-culture in vitro and co-injection in vivo.

RESULTS

Pancreatic endocrine cells displayed significantly different transcriptomic characteristics and increased interaction with exocrine part in PDAC. Specifically, among all of the changes, pancreatic polypeptide-positive cells showed a sharp increment accompanied by the progression of the cancer lesion, which might be derived from the transdifferentiation of α and β cells. Interestingly, it was proved that PDAC cells were able to induce the transdifferentiation of pancreatic α cells and β cells into glucagon-pancreatic polypeptide and insulin-pancreatic polypeptide double-positive cells, which further promoted carcinogenesis and development of PDAC in a paracrine-dependent manner and formed a reciprocal interaction.

CONCLUSIONS

This study systematically maps the alteration of pancreatic endocrine cells in PDAC and elucidates the potential endocrine-exocrine interaction mechanisms during PDAC carcinogenesis. In addition, cancer-associated endocrine cells are defined and characterized, thereby further broadening the composition of PDAC microenvironment.

Early Cancer Detection Through Comprehensive Mapping of Dynamic Tumorigenesis

Current strategies for early cancer detection and diagnosis need updating to achieve greater precision, necessitating the creation of a comprehensive evolutionary map of tumorigenesis. This requires establishing high-quality prospective cohorts, systematically collecting samples for integrated spatiotemporal multiomics analyses, and efficiently translating laboratory findings into clinical applications.

SNHG6 facilitates the epithelial-mesenchymal transition and metastatic potential of esophageal squamous carcinoma through miR-26b-5p/ ITGB1 axis

Long non-coding RNAs (lncRNAs), such as SNHG6, have been identified as crucial regulators in the progression of various cancers, including esophageal squamous cell carcinoma (ESCC). Although the role of SNHG6 in ESCC is not completely understood, our findings demonstrated that SNHG6 expression is upregulated in ESCC tissues compared to adjacent normal tissues. Furthermore, elevated levels of SNHG6 are significantly correlated with higher TNM stage and poorer clinical prognosis in ESCC patients. Functionally, both in vivo and in vitro experiments have shown that knocking down SNHG6 inhibits proliferation, invasion, and metastasis. Luciferase reporter assays and Ago2-RIP assay confirm that SNHG6 functions as a competing endogenous RNA (ceRNA) by sponging miR-26b-5p to modulate ITGB1 expression in ESCC. Given that ITGB1 is instrumental in EMT and metastasis, we assessed the expression of EMT-related proteins. The findings suggest that miR-26b-5p and reduced ITGB1 expression can reverse the EMT induced by lncRNA SHNG6, as demonstrated through rescue analysis. Overall, this study aims to elucidate the molecular mechanisms through which SNHG6 promotes EMT and metastasis in ESCC, providing a novel theoretical foundation for understanding ESCC progression and identifying new targets for improving outcomes in metastatic ESCC.

Single-cell RNA sequencing and spatial transcriptomics of bladder Ewing sarcoma

Bladder Ewing sarcoma/primitive neuroectodermal tumor (bladder ES/PNET) is a rare and highly malignant tumor associated with a poor prognosis, yet its underlying mechanisms remain poorly understood. Here, we employed a combination of single-cell RNA sequencing (scRNA-seq), spatial transcriptomics (ST), and functional analyses to delve into the pathogenesis of bladder ES/PNET. The investigation revealed the presence of specialized types of epithelial cells (referred to as bladder ES-Epi) and mast cells (referred to as bladder ES-Mast) within bladder ES/PNET in comparison to urothelial carcinoma. Notably, TNFRSF12A exhibited significant upregulation in bladder ES/PNET. Furthermore, mast cells possessed the ability to activate epithelial cells through the TNFSF12-TNFRSF12A ligand-receptor signaling pattern. In addition, Enavatuzumab can significantly inhibit the migratory ability of the Ewing sarcoma cell line RD-ES. This groundbreaking study provides unprecedented mechanistic insights into the progression of bladder ES/PNET and introduces a potential therapeutic avenue for treating this challenging malignancy.

Landscape of epithelial cell subpopulations in the human esophageal squamous cell carcinoma microenvironment

Aims

We sought to reveal the landscape of epithelial cell subpopulations in the human esophageal squamous cell carcinoma microenvironment and investigate their parts on esophageal squamous carcinoma (ESCC) development.

Background

Epithelial cells play an important role in the occurrence and development of ESCC through multiple mechanisms. While the landscape of epithelial cell subpopulations in ESCC, remains unclear.

Objective

Exploring the role of epithelial cell subpopulations in ESCC progression.

Methods

Seurat R package was used for single-cell RNA sequencing (scRNA-seq) data filtering, dimensionality reduction, clustering and differentially expressed genes analysis. Cellmarker database was adopted for cell cluster annotation. Functional enrichment analysis was carried out by Gene Ontology (GO) analysis. InferCNV package was conducted for copy number variation (CNV) of epithelial cell subpopulations in all chromosomal regions. Pseudotime trajectory analysis was implemented for exploring differentiation trajectory of epithelial cells subgroups during the cancer progression. CellChat analysis was used for probing the interactions between epithelial cells and NK/T cells. cellular experiments were performed using Quantitative Real-Time Polymerase Chain Reaction (RT-qPCR), Wound-Healing Assay and transwell.

Results

11 major cell subpopulations were identified in ESCC and adjunct tissues. Further reclassification of epithelial cells uncovered 4 subpopulations. Enrichment analysis revealed that highly expressed genes in 4 epithelial cell subpopulations were related to cell proliferation, immune response and angiogenesis. CNV analysis found that UBD + epithelial cells and GAS2L3+ epithelial cells had a higher proportion of CNV. Cell differentiation trajectories disclosed that KRT6C+ and GSTA1+ epithelial cells were in an intermediate state of differentiation, while UBD+ and GAS2L3+ epithelial cells are in an end state of differentiation during ESCC progression. Finally, we found that four epithelial cell subpopulations all inhibited NK/T cells through NECTIN2-TIGIT and CLEC2B-KLRB1. Low ATF3 and DDIT3 mRNA expression inhibited ESCC cell migration and invasion.

Conclusion

Here, we obtained a through epithelial cell atlas of ESCC at single-cell resolution, explored the role of epithelial cell in ESCC progression, and unveiled immunosuppressive signals to NK/T cells in promoting ESCC. Our findings expand the comprehension of epithelial cells and offer a theoretical guidance for future anti-epithelial cell treatment of ESCC.

Global Transcriptomic Analysis of Topical Sodium Alginate Protection against Peptic Damage in an In Vitro Model of Treatment-Resistant Gastroesophageal Reflux Disease

Breakthrough symptoms are thought to occur in roughly half of all gastroesophageal reflux disease (GERD) patients despite maximal acid suppression (proton pump inhibitor, PPI) therapy. Topical alginates have recently been shown to enhance mucosal defense against acid-pepsin insult during GERD. We aimed to examine potential alginate protection of transcriptomic changes in a cell culture model of PPI-recalcitrant GERD. Immortalized normal-derived human esophageal epithelial cells underwent pretreatment with commercial alginate-based anti-reflux medications (Gaviscon Advance or Gaviscon Double Action), a matched-viscosity placebo control, or pH 7.4 buffer (sham) alone for 1 min, followed by exposure to pH 6.0 + pepsin or buffer alone for 3 min. RNA sequencing was conducted, and Ingenuity Pathway Analysis was performed with a false discovery rate of ≤0.01 and absolute fold-change of ≥1.3. Pepsin-acid exposure disrupted gene expressions associated with epithelial barrier function, chromatin structure, carcinogenesis, and inflammation. Alginate formulations demonstrated protection by mitigating these changes and promoting extracellular matrix repair, downregulating proto-oncogenes, and enhancing tumor suppressor expression. These data suggest molecular mechanisms by which alginates provide topical protection against injury during weakly acidic reflux and support a potential role for alginates in the prevention of GERD-related carcinogenesis.

The estrogen response in fibroblasts promotes ovarian metastases of gastric cancer

Younger premenopausal women are more prone to developing ovarian metastases (OM) of gastric cancer (GC) than metastases of other organs; however, the molecular mechanisms remain unclear. Here we perform single-cell RNA sequencing on 45 tumor samples from 18 GC patients with OM. Interestingly, fibroblasts in OM of GC express high levels of estrogen receptor (ER) and midkine (MDK), interacting with tumor cells through activating ER-MDK-LRP1 (low-density lipoprotein receptor-related protein 1) signaling axis. Functional experiments demonstrate that estrogen stimulation induces MDK secretion by ovarian fibroblasts, and binding of MDK to LRP1 increases GC cell migration and invasion. Furthermore, in vivo, estrogen stimulation remarkably augments ovarian engraftment and metastasis of LRP1+ GC cells. Collectively, our findings reveal that ER+ ovarian fibroblasts secrete MDK under estrogen influence, driving OM of GC via the MDK-LRP1 axis. Our study holds the potential to catalyze innovative therapeutic strategies aimed at intercepting and managing OM in GC.

The burgeoning spatial multi-omics in human gastrointestinal cancers

The development and progression of diseases in multicellular organisms unfold within the intricate three-dimensional body environment. Thus, to comprehensively understand the molecular mechanisms governing individual development and disease progression, precise acquisition of biological data, including genome, transcriptome, proteome, metabolome, and epigenome, with single-cell resolution and spatial information within the body's three-dimensional context, is essential. This foundational information serves as the basis for deciphering cellular and molecular mechanisms. Although single-cell multi-omics technology can provide biological information such as genome, transcriptome, proteome, metabolome, and epigenome with single-cell resolution, the sample preparation process leads to the loss of spatial information. Spatial multi-omics technology, however, facilitates the characterization of biological data, such as genome, transcriptome, proteome, metabolome, and epigenome in tissue samples, while retaining their spatial context. Consequently, these techniques significantly enhance our understanding of individual development and disease pathology. Currently, spatial multi-omics technology has played a vital role in elucidating various processes in tumor biology, including tumor occurrence, development, and metastasis, particularly in the realms of tumor immunity and the heterogeneity of the tumor microenvironment. Therefore, this article provides a comprehensive overview of spatial transcriptomics, spatial proteomics, and spatial metabolomics-related technologies and their application in research concerning esophageal cancer, gastric cancer, and colorectal cancer. The objective is to foster the research and implementation of spatial multi-omics technology in digestive tumor diseases. This review will provide new technical insights for molecular biology researchers.

Tissue Mechanics and Hedgehog Signaling Crosstalk as a Key Epithelial-Stromal Interplay in Cancer Development

Epithelial-stromal interplay through chemomechanical cues from cells and matrix propels cancer progression. Elevated tissue stiffness in potentially malignant tissues suggests a link between matrix stiffness and enhanced tumor growth. In this study, employing chronic oral/esophageal injury and cancer models, it is demonstrated that epithelial-stromal interplay through matrix stiffness and Hedgehog (Hh) signaling is key in compounding cancer development. Epithelial cells actively interact with fibroblasts, exchanging mechanoresponsive signals during the precancerous stage. Specifically, epithelial cells release Sonic Hh, activating fibroblasts to produce matrix proteins and remodeling enzymes, resulting in tissue stiffening. Subsequently, basal epithelial cells adjacent to the stiffened tissue become proliferative and undergo epithelial-to-mesenchymal transition, acquiring migratory and invasive properties, thereby promoting invasive tumor growth. Notably, transcriptomic programs of oncogenic GLI2, mechano-activated by actin cytoskeletal tension, govern this process, elucidating the crucial role of non-canonical GLI2 activation in orchestrating the proliferation and mesenchymal transition of epithelial cells. Furthermore, pharmacological intervention targeting tissue stiffening proves highly effective in slowing cancer progression. These findings underscore the impact of epithelial-stromal interplay through chemo-mechanical (Hh-stiffness) signaling in cancer development, and suggest that targeting tissue stiffness holds promise as a strategy to disrupt chemo-mechanical feedback, enabling effective cancer treatment.

Advances in targeting cancer-associated fibroblasts through single-cell spatial transcriptomic sequencing

Cancer-associated fibroblasts (CAFs) are the major components of the tumor microenvironment and are related to tumor proliferation, metastasis, relapse, and drug resistance. With the development of sequencing technologies, single-cell RNA sequencing has become a popular method for identifying CAFs in the tumor microenvironment. Whereas the drawbacks of CAFs, such as the lack of a spatial landscape, still exist, recent research has utilized spatial transcriptomics combined with single-cell RNA sequencing to address this issue. These multiomics analyses can resolve the single-cell resolution problem in spatial transcriptomics. In this review, we summarized the recent literature regarding the targeting of CAFs to address drug resistance, angiogenesis, metabolic reprogramming and metastasis in tumor tissue.

Refining the optimal CAF cluster marker for predicting TME-dependent survival expectancy and treatment benefits in NSCLC patients

The tumor microenvironment (TME) plays a pivotal role in the onset, progression, and treatment response of cancer. Among the various components of the TME, cancer-associated fibroblasts (CAFs) are key regulators of both immune and non-immune cellular functions. Leveraging single-cell RNA sequencing (scRNA) data, we have uncovered previously hidden and promising roles within this specific CAF subgroup, paving the way for its clinical application. However, several critical questions persist, primarily stemming from the heterogeneous nature of CAFs and the use of different fibroblast markers in various sample analyses, causing confusion and hindrance in their clinical implementation. In this groundbreaking study, we have systematically screened multiple databases to identify the most robust marker for distinguishing CAFs in lung cancer, with a particular focus on their potential use in early diagnosis, staging, and treatment response evaluation. Our investigation revealed that COL1A1, COL1A2, FAP, and PDGFRA are effective markers for characterizing CAF subgroups in most lung adenocarcinoma datasets. Through comprehensive analysis of treatment responses, we determined that COL1A1 stands out as the most effective indicator among all CAF markers. COL1A1 not only deciphers the TME signatures related to CAFs but also demonstrates a highly sensitive and specific correlation with treatment responses and multiple survival outcomes. For the first time, we have unveiled the distinct roles played by clusters of CAF markers in differentiating various TME groups. Our findings confirm the sensitive and unique contributions of CAFs to the responses of multiple lung cancer therapies. These insights significantly enhance our understanding of TME functions and drive the translational application of extensive scRNA sequence results. COL1A1 emerges as the most sensitive and specific marker for defining CAF subgroups in scRNA analysis. The CAF ratios represented by COL1A1 can potentially serve as a reliable predictor of treatment responses in clinical practice, thus providing valuable insights into the influential roles of TME components. This research marks a crucial step forward in revolutionizing our approach to cancer diagnosis and treatment.

Single-cell transcriptomic insights into chemotherapy-induced remodeling of the osteosarcoma tumor microenvironment

PURPOSE

Neoadjuvant chemotherapy serves as an effective strategy for treating osteosarcoma (OS) not only by targeting cancerous cells but also by influencing the tumor's immune and stromal elements. Gaining insights into how chemotherapy reshapes the tumor's local environment is crucial for advancing OS treatment protocols.

METHODS

Using single-cell RNA sequencing, this study analyzed tumor samples from patients with advanced osteosarcoma collected both before and after chemotherapy.

RESULTS

The results revealed that chemotherapy caused the remaining OS cells to express higher levels of genes associated with stemness. Additionally, this process enhances the presence of cancer-associated fibroblasts, increasing their ability to modify the extracellular matrix (ECM). Chemotherapy also increases the number of endothelial cells, albeit with compromised differentiation capabilities. Importantly, the treatment reduced the immune cell population, including myeloid and T/NK cells, particularly impacting the subpopulations with tumor-fighting capabilities.

CONCLUSION

These findings highlight the complex reaction of the tumor environment to chemotherapy, providing valuable insights into how chemotherapy influences OS cells and the tumor microenvironment (TME). This knowledge is essential for understanding OS resistance mechanisms to treatments, potentially guiding the development of novel therapies for managing advanced OS.

Genomic and single-cell characterization of patient-derived tumor organoid models of head and neck squamous cell carcinoma

Head and Neck Squamous Cell Carcinoma (HNSCC) remains a significant health burden due to tumor heterogeneity and treatment resistance, emphasizing the need for improved biological understanding and tailored therapies. This study enrolled 31 HNSCC patients for the establishment of patient-derived tumor organoids (PDOs), which faithfully maintained genomic features and histopathological traits of primary tumors. Long-term culture preserved key characteristics, affirming PDOs as robust representative models. PDOs demonstrated predictive capability for cisplatin treatment responses, correlating ex vivo drug sensitivity with patient outcomes. Bulk and single-cell RNA sequencing unveiled molecular subtypes and intratumor heterogeneity (ITH) in PDOs, paralleling patient tumors. Notably, a hybrid epithelial-mesenchymal transition (hEMT)-like ITH program is associated with cisplatin resistance and poor patient survival. Functional analyses identified amphiregulin (AREG) as a potential regulator of the hybrid epithelial/mesenchymal state. Moreover, AREG contributes to cisplatin resistance via EGFR pathway activation, corroborated by clinical samples. In summary, HNSCC PDOs serve as reliable and versatile models, offer predictive insights into ITH programs and treatment responses, and uncover potential therapeutic targets for personalized medicine.

The role of the fibroblast in Barrett's esophagus and esophageal adenocarcinoma

PURPOSE OF REVIEW

Barrett's esophagus (BE) is the number one risk factor for developing esophageal adenocarcinoma (EAC), a deadly cancer with limited treatment options that has been increasing in incidence in the US. In this report, we discuss current studies on the role of mesenchyme and cancer-associated fibroblasts (CAFs) in BE and EAC, and we highlight translational prospects of targeting these cells.

RECENT FINDINGS

New insights through studies using single-cell RNA sequencing (sc-RNA seq) have revealed an important emerging role of the mesenchyme in developmental signaling and cancer initiation. BE and EAC share similar stromal gene expression, as functional classifications of nonepithelial cells in BE show a remarkable similarity to EAC CAFs. Several recent sc-RNA seq studies and novel organoid fibroblast co-culture systems have characterized the subgroups of fibroblasts in BE and EAC, and have shown that these cells can directly influence the epithelium to induce BE development and cancer progression. Targeting the CAFs in EAC with may be a promising novel therapeutic strategy.

SUMMARY

The fibroblasts in the surrounding mesenchyme may have a direct role in influencing altered epithelial plasticity during BE development and progression to EAC.

Tumor initiation and early tumorigenesis: molecular mechanisms and interventional targets

Tumorigenesis is a multistep process, with oncogenic mutations in a normal cell conferring clonal advantage as the initial event. However, despite pervasive somatic mutations and clonal expansion in normal tissues, their transformation into cancer remains a rare event, indicating the presence of additional driver events for progression to an irreversible, highly heterogeneous, and invasive lesion. Recently, researchers are emphasizing the mechanisms of environmental tumor risk factors and epigenetic alterations that are profoundly influencing early clonal expansion and malignant evolution, independently of inducing mutations. Additionally, clonal evolution in tumorigenesis reflects a multifaceted interplay between cell-intrinsic identities and various cell-extrinsic factors that exert selective pressures to either restrain uncontrolled proliferation or allow specific clones to progress into tumors. However, the mechanisms by which driver events induce both intrinsic cellular competency and remodel environmental stress to facilitate malignant transformation are not fully understood. In this review, we summarize the genetic, epigenetic, and external driver events, and their effects on the co-evolution of the transformed cells and their ecosystem during tumor initiation and early malignant evolution. A deeper understanding of the earliest molecular events holds promise for translational applications, predicting individuals at high-risk of tumor and developing strategies to intercept malignant transformation.