Cellular Oncology最新文献

T helper (Th) cell subsets play pivotal roles in regulating immune responses within the tumor microenvironment, influencing both tumor progression and anti-tumor immunity. Among these subsets, Th1 cells promote cytotoxic responses through the production of IFN-γ, while Th2 cells and regulatory T cells (Tregs) exert immunosuppressive effects that support tumor growth. Th9 and Th17 cells have context-dependent roles, contributing to both pro-inflammatory and regulatory processes in tumor immunity. Tumor antigen-specific T cells within the tumor microenvironment often exhibit a dysfunctional phenotype due to increased expression of inhibitory receptors such as CTLA-4 and PD-1, leading to reduced antitumor activity. Monoclonal antibodies that block these inhibitory signals-collectively known as immune checkpoint inhibitors (ICIs)-can reactivate these T cells, enhancing their ability to target and destroy cancer cells. Recent advancements have highlighted the critical role of T helper subsets in modulating responses to ICIs, with their interactions remaining a focus of ongoing research. Both positive and negative effects of ICIs have been reported in relation to Th cell subsets, with some effects depending on the type of tumor microenvironment. This review summarizes the crucial roles of different T helper cell subsets in tumor immunity and their complex relationship with immune checkpoint inhibitor therapy.

Background: Lenvatinib is a potent first-line therapy for patients with hepatocellular carcinoma (HCC), but it also increased the number of neutrophils in HCC tumor microenvironment.

Methods: CitH3, MPO-DNA, elastase and MPO activity were measured for assessing neutrophil extracellular traps (NETs) in vivo and in vitro. Cell cuproptosis was assessed by measurement of copper content, FDX1, and pyruvate. The functions of lenvatinib, DNase I, interleukin 33 (IL33) neutralizing antibody and GPX4 in tumor growth were explored in mice.

Results: Lenvatinib induced NETs in the HCC tumor microenvironment via HCC cells, but not through the direct stimulation of neutrophils. In addition, NET clearance by DNase I improves the efficacy of lenvatinib therapy in HCC mouse models. Mechanistically, lenvatinib promoted the expression and secretion of IL33 by HCC cells that triggered NET formation. Moreover, IL33 knockdown in Hepa1-6 cells improved lenvatinib efficacy in Hepa1-6-bearing HCC model mice and reduced NET formation in the tumor microenvironment. Subsequently, lenvatinib increased IL33 production by increasing the NDUFA4L2 expression in HCC cells. Furthermore, we found that IL33 triggered NET formation in neutrophils by increasing the protein expression of PADI4 via the Akt/mTOR signaling pathway. Rapamycin inhibition of mTOR reduced PADI4 expression and NET formation. Consistently, PADI4 inhibition by the selective PAD4 inhibitor GSK484 hydrochloride (GSK484) improved lenvatinib response to HCC therapy. Importantly, NETs contribute to lenvatinib resistance by inhibiting cuproptosis, but not apoptosis, pyroptosis, or ferroptosis in HCC cells. Treatment with GSK484 reversed the inhibitory effects of NETs on cuproptosis and sensitized the HCC cells to lenvatinib.

Conclusions: Our study revealed that lenvatinib-induced NETs inhibited the cuproptosis of HCC cells, suggesting that targeting the IL33/PADI4/NET axis represents a promising therapeutic strategy for ameliorating lenvatinib resistance in HCC.

Purpose: Leiomyosarcoma (LMS) is an aggressive mesenchymal malignant tumor with poor therapeutic options, but the molecular mechanisms underlying LMS remain largely unknown. Increasing evidence indicates that transient receptor potential vanilloid 4 (TRPV4) levels are closely related to the advancement of various malignant tumors through diverse molecular mechanisms. However, the roles and regulatory mechanisms of TRPV4 in LMS progression remain unclear.

Methods: Immunohistochemistry, Western blot, and immunofluorescence were used to investigate the relationship between TRPV4 expression and LMS. Survival analysis was conducted to evaluate the association between TRPV4 levels and prognosis in LMS patients. Intracellular Ca²⁺ measurement, colony formation, CCK-8, wound healing and Transwell assays and peritoneal metastasis mouse model were used to verify the effect of TRPV4 activity and expression on LMS proliferation and metastasis. RNA-seq and proteomics were performed to explore the underlying mechanism.

Results: TRPV4 was upregulated in LMS tissues and cells and served as a novel prognostic factor. Moreover, TRPV4 overexpression enhanced cell proliferation, cell migration and invasion of LMS cells in vitro, as well as promoted tumor metastasis in vivo, which could be blocked by HC067047 intervention or TRPV4 knockdown. Combined RNA-seq and proteomics analysis of KEGG pathway indicated that ECM receptor interaction was obviously activated. Extracellular matrix protein 1 (ECM1) was identified as downstream gene of TRPV4. Mechanistically, TRPV4 overexpression increased ECM1 level and activated the FAK/PI3K/AKT/GSK3β pathway, which could be reversed by TRPV4 knockdown or LY294002 treatment. Moreover, ECM1 overexpression enhanced the activation of FAK/PI3K/AKT/GSK3β pathway. And simultaneous overexpression of TRPV4 and ECM1 synergistically activated this pathway.

Conclusion: Our findings provide a novel mechanism by which TRPV4 directly activates Ca²⁺/FAK/PI3K/AKT/GSK3β pathway and further indirectly enhances the FAK/PI3K/AKT/GSK3β pathway through the promotion and secretion of ECM1 to promote LMS malignant progression. Targeting the TRPV4/FAK axis might be a promising potential strategy for prognosis and treatment of LMS.

Purpose: As an important component of the microenvironment, the gastric microbiota and its metabolites are associated with tumour occurrence, progression, and metastasis. However, the relationship between the gastric microbiota and the development of gastric cancer is unclear. The present study investigated the role of the gastric mucosa microbiome and metabolites as aetiological factors in gastric carcinogenesis.

Methods: Gastric biopsies from different stomach microhabitats (n = 70) were subjected to 16S rRNA gene sequencing, and blood samples (n = 95) were subjected to untargeted metabolome (gas chromatography‒mass spectrometry, GC‒MS) analyses. The datasets were analysed using various bioinformatics approaches.

Results: The microbiota diversity and community composition markedly changed during gastric carcinogenesis. High Helicobacter. pylori colonization modified the overall diversity and composition of the microbiota associated with gastritis and cancer in the stomach. Most importantly, analysis of the functional features of the microbiota revealed that nitrate reductase genes were significantly enriched in the tumoral microbiota, while urease-producing genes were significantly enriched in the microbiota of H. pylori-positive patients. A panel of 81 metabolites was constructed to discriminate gastric cancer patients from gastritis patients, and a panel of 15 metabolites was constructed to discriminate H. pylori-positive patients from H. pylori-negative patients. receiver operator characteristic (ROC) curve analysis identified a series of gastric microbes and plasma metabolites as potential biomarkers of gastric cancer.

Conclusion: The present study identified a series of signatures that may play important roles in gastric carcinogenesis and have the potential to be used as biomarkers for diagnosis and for the surveillance of gastric cancer patients with minimal invasiveness.

Cancer is a highly heterogeneous disease, and thus treatment responses vary greatly between patients. To improve therapy efficacy and outcome for cancer patients, more representative and patient-specific preclinical models are needed. Organoids and tumoroids are 3D cell culture models that typically retain the genetic and epigenetic characteristics, as well as the morphology, of their tissue of origin. Thus, they can be used to understand the underlying mechanisms of cancer initiation, progression, and metastasis in a more physiological setting. Additionally, co-culture methods of tumoroids and cancer-associated cells can help to understand the interplay between a tumor and its tumor microenvironment. In recent years, tumoroids have already helped to refine treatments and to identify new targets for cancer therapy. Advanced culturing systems such as chip-based fluidic devices and bioprinting methods in combination with tumoroids have been used for high-throughput applications for personalized medicine. Even though organoid and tumoroid models are complex in vitro systems, validation of results in vivo is still the common practice. Here, we describe how both animal- and human-derived tumoroids have helped to identify novel vulnerabilities for cancer treatment in recent years, and how they are currently used for precision medicine.

Telomeric repeat-containing RNAs (TERRA) and telomerase RNA component (TERC) regulate telomerase activity (TA) and thereby contribute to telomere homeostasis by influencing telomere length (TL) and the cell immortality hallmark of cancer cells. Additionally, the non-canonical functions of telomerase reverse transcriptase (TERT) and TERRA appear to be involved in the epithelial-mesenchymal transition (EMT), which is important for cancer progression. However, the relationship between TERRA and patient prognosis has not been fully characterized. In this small-scale study, 68 patients with colorectal cancer (CRC) were evaluated for correlations between telomere biology, proliferation, and EMT gene transcripts and disease outcome. The proliferating cell nuclear antigen (PCNA) and the epithelial splicing regulatory proteins 1 and 2 (ESRP1 and ESRP2) showed a positive correlation with TERRA, while TA and TERRA exhibited an inverse correlation. Consistent with previous findings, the present study revealed higher expression levels of TERT and TERC, and increased TA and TL in CRC tumor tissue compared to adjacent non-tumor tissue. In contrast, lower expression levels of TERRA were observed in tumor tissue. Patients with high TERRA expression and low PCNA levels exhibited favorable overall survival rates compared to individuals with the inverse pattern. Furthermore, TERRA suppressed CRC tumor growth in severe combined immunodeficiency disease (SCID) mice. In conclusion, our study extends previously published research on TERRA suggesting its potential therapeutic role in telomerase-positive CRC.

Purpose: Tumor heterogeneity complicates patient treatment and can be due to transitioning of cancer cells across phenotypic cell states. This process is associated with the acquisition of independence from an oncogenic driver, such as the estrogen receptor (ER) in breast cancer (BC), resulting in tumor progression, therapeutic failure and metastatic spread. The transcription factor ONECUT2 (OC2) has been shown to be a master regulator protein of metastatic castration-resistant prostate cancer (mCRPC) tumors that promotes lineage plasticity to a drug-resistant neuroendocrine (NEPC) phenotype. Here, we investigate the role of OC2 in the dynamic conversion between different molecular subtypes in BC.

Methods: We analyze OC2 expression and clinical significance in BC using public databases and immunohistochemical staining. In vitro, we perform RNA-Seq, RT-qPCR and western-blot after OC2 enforced expression. We also assess cellular effects of OC2 silencing and inhibition with a drug-like small molecule in vitro and in vivo.

Results: OC2 is highly expressed in a substantial subset of hormone receptor negative human BC tumors and tamoxifen-resistant models, and is associated with poor clinical outcome, lymph node metastasis and heightened clinical stage. OC2 inhibits ER expression and activity, suppresses a gene expression program associated with luminal differentiation and activates a basal-like state at the gene expression level. We also show that OC2 is required for cell growth and survival in metastatic BC models and that it can be targeted with a small molecule inhibitor providing a novel therapeutic strategy for patients with OC2 active tumors.

Conclusions: The transcription factor OC2 is a driver of BC heterogeneity and a potential drug target in distinct cell states within the breast tumors.

Purpose: Pancreatic Ductal Adenocarcinoma (PDAC) remains a challenging disease due to its complex biology and aggressive behavior with an urgent need for efficient therapeutic strategies. To assess therapy response, pre-clinical PDAC organoid-based models in combination with accurate real-time monitoring are required.

Methods: We established stable live-imaging organoid/peripheral blood mononuclear cells (PBMCs) co-cultures and introduced OrganoIDNet, a deep-learning-based algorithm, capable of analyzing bright-field images of murine and human patient-derived PDAC organoids acquired with live-cell imaging. We investigated the response to the chemotherapy gemcitabine in PDAC organoids and the PD-L1 inhibitor Atezolizumab, cultured with or without HLA-matched PBMCs over time. Results obtained with OrganoIDNet were validated with the endpoint proliferation assay CellTiter-Glo.

Results: Live cell imaging in combination with OrganoIDNet accurately detected size-specific drug responses of organoids to gemcitabine over time, showing that large organoids were more prone to cytotoxic effects. This approach also allowed distinguishing between healthy and unhealthy status and measuring eccentricity as organoids' reaction to therapy. Furthermore, imaging of a new organoids/PBMCs sandwich-based co-culture enabled longitudinal analysis of organoid responses to Atezolizumab, showing an increased potency of PBMCs tumor-killing in an organoid-individual manner when Atezolizumab was added.

Conclusion: Optimized PDAC organoid imaging analyzed by OrganoIDNet represents a platform capable of accurately detecting organoid responses to standard PDAC chemotherapy over time. Moreover, organoid/immune cell co-cultures allow monitoring of organoid responses to immunotherapy, offering dynamic insights into treatment behavior within a co-culture setting with PBMCs. This setup holds promise for real-time assessment of immunotherapeutic effects in individual patient-derived PDAC organoids.

Background: Hepatocellular carcinoma (HCC) remains a significant global health challenge with limited treatment options. Lenvatinib, a tyrosine kinase inhibitor, has shown promise but is often undermined by the development of drug resistance.

Methods: Utilizing high-throughput sequencing, we investigated the molecular mechanisms underlying lenvatinib resistance in HCC cells, with a focus on metabolic pathways. Key genes, including GALNT6, were validated through quantitative real-time PCR. The effects of GALNT6 knockdown on lenvatinib sensitivity were examined in vitro and in vivo. O-GalNAc glycosylation was assessed using Vicia Villosa Lectin. Immune cell infiltration and interactions were analyzed in the TCGA-LIHC cohort, with further validation by Western blotting and immunohistochemistry.

Results: Our findings indicate that lenvatinib resistance in HCC is driven by the mucin-type O-glycosylation pathway, with GALNT6 playing a critical role. Knockdown of GALNT6 led to reduced O-GalNAc glycosylation, including the modification of LAPTM5, resulting in decreased LAPTM5 activity and autophagy inhibition. Additionally, GALNT6 silencing disrupted the PDGFA-PDGFRB axis, impairing the activation of cancer-associated fibroblasts (CAFs) and reducing their secretion of SPP1, which collectively diminished lenvatinib resistance.

Conclusions: GALNT6 is integral to the resistance mechanisms against lenvatinib in HCC by modulating autophagy and CAF activation. Targeting GALNT6 offers a promising strategy to enhance lenvatinib efficacy and improve therapeutic outcomes in HCC.

Purpose: Clarification of cisplatin resistance may provide new targets for therapy in cisplatin resistant ovarian cancer. The current study aims to explore involvement of isoforms of AU-rich element RNA-binding protein 1 (AUF1) in cisplatin resistance in ovarian cancer.

Methods: The cancer stem cell-like features were analyzed using colony formation assay, tumor sphere formation assay and nude mouse xenograft experiments. AUF1 isoforms expression was analyzed using immunoblotting, qRT-PCR, and immunohistochemistry. RIP and Biotin pulldown was used to analyze the interaction of SRSF2 and hnRNPA1 with AUF1 transcript. Transcriptome regulated by AUF1 isoforms was analyzed by RNA-seq.

Results: The current study demonstrated differential expression of AUF1 isoforms in cisplatin sensitive and resistant ovarian cancer tissues and cells. P37 isoform promoted proliferation, while p45 isoform enhanced responsiveness of ovarian cancer cells to cisplatin. the clonal formation capacity of the cells, and the restoration of p45 expression reduced the capacity with cisplatin treatment. The competitive binding of phosphorylated hnRNPA1 and O-GlcNAc-modified SRSF2 on AUF1 exon 2 and exon 7 regulated the alternative splicing of AUF1.

Conclusion: The competitive binding of phosphorylated hnRNPA1 and O-GlcNAc modified SRSF2 on exon 2 and exon 7 regulated the alternative splicing of AUF1 and subsequent isoform expression. P37 isoform played a "cancer promoter" role, p42 and p45, especially p45 played a "cancer suppressor" role in ovarian cancer. This study provides a new target for exploring the drug resistance mechanism of ovarian cancer.