Critical Genes Research Articles

Immune checkpoint gene signature assesses immune infiltration profiles in bladder cancer and identifies KRT23 as an immunotherapeutic target

BackgroundIn the past few decades, researchers have made promising progress, including the development of immune checkpoint inhibitors (ICIs) in the therapy of bladder cancer (BLCA). Existing studies mainly focus on single immune checkpoint inhibitors but lack relevant studies on the gene expression profiles of multiple immune checkpoints.MethodsRNA-sequencing profiling data and clinical information of BLCA patients and normal human bladder samples were acquired from the Cancer Genome Atlas and Gene Expression Omnibus databases and analyzed to identify different expression profiles of immune checkpoint genes (ICGs) after consensus clustering analysis. Based on the 526 intersecting differentially expressed genes, the LASSO Cox regression analysis was utilized to construct the ICG signature.ResultsAccording to the expression of ICGs, BLCA patients were divided into three subtypes with different phenotypic and mechanistic characteristics. Furthermore, the developed ICG signature were independent predictors of outcome in BLCA patients, and was correlated with the immune infiltration, the expression of ICGs and chemotherapeutic effect.ConclusionsThis study systematically and comprehensively analyzed the expression profile of immune checkpoint genes, and established the ICG signature to investigate the differences in ICGs expression and tumor immune microenvironment, which will help risk stratification and accelerate precision medicine. Finally, we identified KRT23 as the most critical model gene, and highlighted KRT23 as a potential target to enhance immunotherapy against BLCA.

Identification of the novel exhausted T cell CD8 + markers in breast cancer

Cancer is one of the most concerning public health issues and breast cancer is one of the most common cancers in the world. The immune cells within the tumor microenvironment regulate cancer development. In this study, single immune cell data sets were used to identify marker gene sets for exhausted CD8 + T cells (CD8Tex) in breast cancer. Machine learning methods were used to cluster subtypes and establish the prognostic models with breast cancer bulk data using the gene sets to evaluate the impacts of CD8Tex. We analyzed breast cancer overexpressing and survival-associated marker genes and identified CD8Tex hub genes in the protein–protein-interaction network. The relevance of the hub genes for CD8 + T-cells in breast cancer was evaluated. The clinical associations of the hub genes were analyzed using bulk sequencing data and spatial sequencing data. The pan-cancer expression, survival, and immune association of the hub genes were analyzed. We identified biomarker gene sets for CD8Tex in breast cancer. CD8Tex-based subtyping systems and prognostic models performed well in the separation of patients with different immune relevance and survival. CRTAM, CLEC2D, and KLRB1 were identified as CD8Tex hub genes and were demonstrated to have potential clinical relevance and immune therapy impact. This study provides a unique view of the critical CD8Tex hub genes for cancer immune therapy.

C-Myc-XRCC2-FOS axis promotes the proliferation and the resistance to Doxorubicin of NSCLC

Lung cancer represents one of the most prevalent malignant neoplasms, commanding an alarming incidence and mortality rate globally. Non-small cell lung cancer (NSCLC), constituting approximately 80 %-90 % of all lung cancer cases, is the predominant pathological manifestation of this disease, with a disconcerting 5-year survival rate scarcely reaching 10 %. Extensive prior investigations have elucidated that the aberrant expression of X-ray repair cross-complementing gene 2 (XRCC2), a critical meiotic gene intricately involved in the DNA damage repair process, is intimately associated with tumorigenesis. Nevertheless, the precise roles and underlying mechanistic pathways of XRCC2 in NSCLC remain largely elusive. In the present study, we discerned an overexpression of XRCC2 within NSCLC patient tissues, particularly in high-grade samples, when juxtaposed with normal tissues. Targeted knockdown of XRCC2 notably impeded the proliferation of NSCLC both in vitro and in vivo. Comprehensive RNA sequencing and flow rescue assays unveiled that XRCC2 augments the proliferation of NSCLC cells through the down-regulation of FOS expression. Moreover, the c-Myc gene was definitively identified as an XRCC2 transcriptional factor by means of chromatin immunoprecipitation (ChIP) and luciferase reporter assays, whereby pharmacological attenuation of c-Myc expression, in conjunction with Doxorubicin, synergistically curtailed NSCLC cell growth both in vitro and in vivo. Collectively, our findings proffer critical insights into the novel c-Myc-XRCC2-FOS axis in promoting both proliferation and resistance to Doxorubicin in NSCLC cells, thereby extending a promising avenue for potential new diagnostic strategies and therapeutic interventions in NSCLC.

Activation of the CDK7 Gene, Coding for the Catalytic Subunit of the Cyclin-Dependent Kinase (CDK)-Activating Kinase (CAK) and General Transcription Factor II H, by the Trans-Activator Protein Tax of Human T-Cell Leukemia Virus Type-1.

Human T-cell leukemia virus type-1 (HTLV-1) is the etiological agent of adult T-cell leukemia (ATL). The trans-activator protein Tax of HTLV-1 plays crucial roles in leukemogenesis by promoting proliferation of virus-infected cells through activation of growth-promoting genes. However, critical target genes are yet to be elucidated. We show here that Tax activates the gene coding for cyclin-dependent kinase 7 (CDK7), the essential component of both CDK-activating kinase (CAK) and general transcription factor TFIIH. CAK and TFIIH play essential roles in cell cycle progression and transcription by activating CDKs and facilitating transcriptional initiation, respectively. Tax induced CDK7 gene expression not only in human T-cell lines but also in normal peripheral blood lymphocytes (PHA-PBLs) along with increased protein expression. Tax stimulated phosphorylation of CDK2 and RNA polymerase II at sites reported to be mediated by CDK7. Tax activated the CDK7 promoter through the NF-κB pathway, which mainly mediates cell growth promotion by Tax. Knockdown of CDK7 expression reduced Tax-mediated induction of target gene expression and cell cycle progression. These results suggest that the CDK7 gene is a crucial target of Tax-mediated trans-activation to promote cell proliferation by activating CDKs and transcription.

The STAT1-SLC31A1 axis: Potential regulation of cuproptosis in diabetic retinopathy

BackgroundBy identifying molecular biological markers linked to cuproptosis in diabetic retinopathy (DR), new pathobiological pathways and more accessible diagnostic markers can be developed. MethodsThe datasets related to DR were acquired from the Gene Expression Omnibus database, while genes associated with cuproptosis were sourced from previously published compilations. Consensus clustering was conducted to delineate distinct DR subclasses. Feature genes were identified utilizing weighted correlation network analysis (WGCNA). Additionally, two machine-learning algorithms were employed to refine the selection of feature genes. Finally, we conducted preliminary validation experiments to ascertain the involvement of cuproptosis in DR development and the transcriptional regulation of critical genes using both the streptozotocin-induced diabetic mouse model and the high glucose-induced BV2 model. ResultsIn the STZ-induced diabetic mouse retinas, a decrease in the expression of cuproptosis signature proteins (FDX1, DLAT, and NDUFS8) suggested the occurrence of cuproptosis in DR. Subsequently, the expression of eight cuproptosis differential genes was validated through the STZ-induced diabetes and oxygen-induced retinopathy (OIR) models, with the key gene SLC31A1 showing upregulation in both models and dataset species. Further analyses, including weighted gene co-expression network analysis, GSVA, and immune infiltration analysis, indicated a close correlation between cuproptosis and microglia function. Additionally, validation in an in vitro model of microglia indicated the occurrence of cuproptosis in microglia under high glucose conditions, alongside abnormal expression of STAT1 with SLC31A1. ConclusionOur findings suggest that STAT1/SLC31A1 may pave the way for a deeper comprehension of the mechanistic basis of DR and offer potential therapeutic avenues.

Gut Microbiota Dysbiosis, Oxidative Stress, Inflammation, and Epigenetic Alterations in Metabolic Diseases.

Gut dysbiosis, resulting from an imbalance in the gut microbiome, can induce excessive production of reactive oxygen species (ROS), leading to inflammation, DNA damage, activation of the immune system, and epigenetic alterations of critical genes involved in the metabolic pathways. Gut dysbiosis-induced inflammation can also disrupt the gut barrier integrity and increase intestinal permeability, which allows gut-derived toxic products to enter the liver and systemic circulation, further triggering oxidative stress, inflammation, and epigenetic alterations associated with metabolic diseases. However, specific gut-derived metabolites, such as short-chain fatty acids (SCFAs), lactate, and vitamins, can modulate oxidative stress and the immune system through epigenetic mechanisms, thereby improving metabolic function. Gut microbiota and diet-induced metabolic diseases, such as obesity, insulin resistance, dyslipidemia, and hypertension, can transfer to the next generation, involving epigenetic mechanisms. In this review, we will introduce the key epigenetic alterations that, along with gut dysbiosis and ROS, are engaged in developing metabolic diseases. Finally, we will discuss potential therapeutic interventions such as dietary modifications, prebiotics, probiotics, postbiotics, and fecal microbiota transplantation, which may reduce oxidative stress and inflammation associated with metabolic syndrome by altering gut microbiota and epigenetic alterations. In summary, this review highlights the crucial role of gut microbiota dysbiosis, oxidative stress, and inflammation in the pathogenesis of metabolic diseases, with a particular focus on epigenetic alterations (including histone modifications, DNA methylomics, and RNA interference) and potential interventions that may prevent or improve metabolic diseases.

Spatiotemporal transcriptome atlas reveals gene regulatory patterns during the organogenesis of the rapid growing bamboo shoots.

Bamboo with its remarkable growth rate and economic significance, offers an ideal system to investigate the molecular basis of organogenesis in rapidly growing plants, particular in monocots, where gene regulatory networks governing the maintenance and differentiation of shoot apical and intercalary meristems remain a subject of controversy. We employed both spatial and single-nucleus transcriptome sequencing on 10× platform to precisely dissect the gene functions in various tissues and early developmental stages of bamboo shoots. Our comprehensive analysis reveals distinct cell trajectories during shoot development, uncovering critical genes and pathways involved in procambium differentiation, intercalary meristem formation, and vascular tissue development. Spatial and temporal expression patterns of key regulatory genes, particularly those related to hormone signaling and lipid metabolism, strongly support the hypothesis that intercalary meristem origin from surrounded parenchyma cells. Specific gene expressions in intercalary meristem exhibit regular and dispersed distribution pattern, offering clues for understanding the intricate molecular mechanisms that drive the rapid growth of bamboo shoots. The single-nucleus and spatial transcriptome analysis reveal a comprehensive landscape of gene activity, enhancing the understanding of the molecular architecture of organogenesis and providing valuable resources for future genomic and genetic studies relying on identities of specific cell types.

Saliva-derived DNA is suitable for the detection of clonal haematopoiesis of indeterminate potential

Clonal haematopoiesis of indeterminate potential (CHIP) has been associated with many adverse health outcomes. However, further research is required to understand the critical genes and pathways relevant to CHIP subtypes, evaluate how CHIP clones evolve with time, and further advance functional characterisation and therapeutic studies. Large epidemiological studies are well placed to address these questions but often collect saliva rather than blood from participants. Paired saliva- and blood-derived DNA samples from 94 study participants were sequenced using a targeted CHIP-gene panel. The ten genes most frequently identified to carry CHIP-associated variants were analysed. Fourteen unique variants associated with CHIP, ten in DNMT3A, two in TP53 and two in TET2, were identified with a variant allele fraction (VAF) between 0.02 and 0.2 and variant depth ≥ 5 reads. Eleven of these CHIP-associated variants were detected in both the blood- and saliva-derived DNA sample. Three variants were detected in blood with a VAF > 0.02 but fell below this threshold in the paired saliva sample (VAF 0.008—0.013). Saliva-derived DNA is suitable for detecting CHIP-associated variants. Saliva can offer a cost-effective biospecimen that could both advance CHIP research and facilitate clinical translation into settings such as risk prediction, precision prevention, and treatment monitoring.

Identification and analysis of significant genes in nonalcoholic steatohepatitis-hepatocellular carcinoma transformation: Bioinformatics analysis and machine learning approach

PurposeNonalcoholic steatohepatitis (NASH) has been an increasingly significant contributor to hepatocellular carcinoma (HCC). Understanding the progression from NASH to HCC is critical to early diagnosis and elucidating the underlying mechanisms. Results5 significant prognostic genes related to NASH-HCC transformation were identified through algorithm selection, which were ME1, TP53I3, SOCS2, GADD45G and CYP7A1. A diagnostic model for NASH prediction was established (AUC=0.988). TP53I3 and SOCS2 were selected as potential critical genes in the progression of NASH-HCC by external dataset validation and in vitro experiments on NASH and HCC cell lines. Immune infiltration analysis illustrated the correlation between 5 significant prognostic genes and immune cells. Single-cell analysis identified hepatocytes related to NASH-HCC transformation markers, revealing their promoting role in the transformation from NASH to HCC. ConclusionWith bulk-seq analysis and single-cell analysis, 5 significant prognostic genes related to NASH-HCC transformation were identified and validated at both dataset and in vitro experiment level. Among them, TP53I3 and SOCS2 might be potential critical genes in NASH-HCC progression. Single-cell analysis identified and revealed the critical role that NASH-HCC related hepatocytes play in NASH-HCC tansformation. Our research may introduce a new perspective to the diagnosis, treatment of NASH-related HCC.

Single nucleotide polymorphisms in SEPALLATA 2 underlie fruit length variation in cucurbits.

Complete disruption of critical genes is generally accompanied by severe growth and developmental defects, which dramatically hinder its utilization in crop breeding. Identifying subtle changes, such as single-nucleotide polymorphisms (SNPs), in critical genes that specifically modulate a favorable trait is a prerequisite to fulfill breeding potential. Here, we found 2 SNPs in the E-class floral organ identity gene cucumber (Cucumis sativus) SEPALLATA2 (CsSEP2) that specifically regulate fruit length. Haplotype (HAP) 1 (8G2667A) and HAP2 (8G2667T) exist in natural populations, whereas HAP3 (8A2667T) is induced by ethyl methanesulfonate mutagenesis. Phenotypic characterization of 4 near-isogenic lines and a mutant line showed that HAP2 fruits are significantly longer than those of HAP1, and those of HAP3 are 37.8% longer than HAP2 fruit. The increasing fruit length in HAP1-3 was caused by a decreasing inhibitory effect on CRABS CLAW (CsCRC) transcription (a reported positive regulator of fruit length), resulting in enhanced cell expansion. Moreover, a 7638G/A-SNP in melon (Cucumis melo) CmSEP2 modulates fruit length in a natural melon population via the conserved SEP2-CRC module. Our findings provide a strategy for utilizing essential regulators with pleiotropic effects during crop breeding.

Transcription factor 4 is a key mediator of oncogenesis in neuroblastoma by promoting MYC activity.

Super-enhancer-associated transcription factor networks define cell identity in neuroblastoma (NB). Dysregulation of these transcription factors contributes to the initiation and maintenance of NB by enforcing early developmental identity states. We report that the class I basic helix-loop-helix (bHLH) transcription factor 4 (TCF4; also known as E2-2) is a critical NB dependency gene that significantly contributes to these identity states through heterodimerization with cell-identity-specific bHLH transcription factors. Knockdown of TCF4 significantly induces apoptosis in vitro and inhibits tumorigenicity in vivo. We used genome-wide expression profiling, TCF4 chromatin immunoprecipitation sequencing (ChIP-seq) and TCF4 immunoprecipitation-mass spectrometry to determine the role of TCF4 in NB cells. Our results, along with recent findings in NB for the transcription factors T-box transcription factor TBX2, heart- and neural crest derivatives-expressed protein 2 (HAND2) and twist-related protein 1 (TWIST1), propose a role for TCF4 in regulating forkhead box protein M1 (FOXM1)/transcription factor E2F-driven gene regulatory networks that control cell cycle progression in cooperation with N-myc proto-oncogene protein (MYCN), TBX2, and the TCF4 dimerization partners HAND2 and TWIST1. Collectively, we showed that TCF4 promotes cell proliferation through direct transcriptional regulation of the c-MYC/MYCN oncogenic program that drives high-risk NB. Mechanistically, our data suggest the novel finding that TCF4 acts to support MYC activity by recruiting multiple factors known to regulate MYC function to sites of colocalization between critical NB transcription factors, TCF4 and MYC oncoproteins. Many of the TCF4-recruited factors are druggable, giving insight into potential therapies for high-risk NB. This study identifies a new function for class I bHLH transcription factors (e.g., TCF3, TCF4, and TCF12) that are important in cancer and development.

Elevated expression of Golgi Transport 1B promotes the progression of cervical cancer by activating NF-κB signaling pathway via interaction with TBK1.

As a preventable disease, cervical cancer (cervical squamous cell carcinoma and endocervical adenocarcinoma - CESC) remains a tumor with high morbidity and mortality worldwide, underscoring the pressing need for effective treatment strategies. This research identified Golgi transport 1B (GOLT1B) as a critical gene involved in the development of cervical cancer. Gene Expression Omnibus (GEO) datasets were investigated to determine the upregulation of GOLT1B in cervical cancer tissue compared to normal tissue. Besides, GOLT1B was found to predict poor prognosis in cervical cancer by utilizing Gene Expression Profiling Interactive Analysis (GEPIA). The functional assay indicated that GOLT1B promoted CESC viability and migration in vitro and in vivo. RNA sequencing results suggested that GOLT1B likely influenced NF-κB pathway. The subsequent western blot and dual luciferase reporter assay revealed the interaction between GOLT1B and TBK1, modulating the NF-κB pathway. More importantly, GOLT1B was also found to regulate immune cells infiltration, suggesting its potential role in tumor microenvironment. In conclusion, GOLT1B promotes CESC progression via interaction with TBK1 and augmentation of NF-κB signaling-mediated cancer-associated inflammation, which provides us a new approach to CESC target therapy.

MDK promotes M2 macrophage polarization to remodel the tumour microenvironment in clear cell renal cell carcinoma

The efficacy of immunotherapy for clear cell renal cell carcinoma (ccRCC), especially advanced ccRCC, is limited, presenting a clinical challenge. This limitation is closely tied to the immune regulation network. Understanding the heterogeneity of the tumour microenvironment (TME) is crucial for developing advanced ccRCC therapies. Using publicly available ccRCC data (scRNA-seq, bulk RNA-seq, and somatic mutation data), a multiomics study was performed to explore TME heterogeneity. Three distinct ccRCC immune subtypes were identified through combined scRNA-seq and bulk RNA-seq analysis. A prognostic model based on unique cell signalling molecules in immunosuppressive tumour subtype was validated in the TCGA and CheckMate cohorts. MDK emerged as a critical regulatory gene in the immunosuppressive subtype, predicting a poor ccRCC prognosis and a poor immunotherapy response. MDK promotes M2 macrophage polarization via the MDK-LRP1 interaction, and the inhibition of MDK suppressed M2 polarization. This study revealed the heterogeneity of the ccRCC TME and a reliable prognostic model, shedding light on the vital role of MDK in the immunosuppressive TME and paving the way for optimized ccRCC immunotherapy.

The Inhibitory Effects of Maclurin on Fatty Acid Synthase and Adipocyte Differentiation.

Obesity is a complex health condition characterized by excessive adipose tissue accumulation, leading to significant metabolic disturbances such as insulin resistance and cardiovascular diseases. Fatty acid synthase (FAS), a key enzyme in lipogenesis, has been identified as a potential therapeutic target for obesity due to its role in adipocyte differentiation and lipid accumulation. This study employed a multidisciplinary approach involving in silico and in vitro analyses to investigate the anti-adipogenic properties of maclurin, a natural phenolic compound derived from Morus alba. Using SwissDock software (ChEMBL version 23), we predicted protein interactions and demonstrated a high probability (95.6%) of maclurin targeting FAS, surpassing the interaction rates of established inhibitors like cerulenin. Docking simulations revealed maclurin's superior binding affinity to FAS, with a binding score of -7.3 kcal/mol compared to -6.7 kcal/mol for cerulenin. Subsequent in vitro assays confirmed these findings, with maclurin effectively inhibiting FAS activity in a concentration-dependent manner in 3T3-L1 adipocytes, without compromising cell viability. Furthermore, maclurin treatment resulted in significant reductions in lipid accumulation and the downregulated expression of critical adipogenic genes such as PPARγ, C/EBPα, and FAS, indicating the suppression of adipocyte differentiation. Maclurin shows potential as a novel FAS inhibitor with significant anti-adipogenic effects, offering a promising therapeutic avenue for the treatment and prevention of obesity.

Nobiletin regulates the proliferation and migration of ovarian cancer A2780 cells via DPP4 and TXNIP.

Nobiletin is an active compound extracted from citrus fruits. Research has indicated that nobiletin has a potential inhibitory effect on ovarian cancer (OV). However, the mechanism of action remains unclear. The OV A2780 cells were treated using nobiletin, cell viability was examined using a cell counting kit-8 experiment, and cell migration was examined with a wound healing experiment. Nobiletin targets were retrieved from target databases. Differentially expressed genes (DEG) and weighted gene co-expression network analysis (WGCNA) were conducted on GSE26712 (OV). The intersection of the critical genes for nobiletin's action on OV and gene enrichment and immune infiltration analyses were performed. The Cancer Genome Atlas-OV data and molecular docking helped validate the findings. After adding nobiletin, cell viability and migration significantly decreased (P < 0.01). A total of 88 nobiletin targets and 1288 DEG were identified. The intersection genes were enriched inflammatory response and response to hypoxia. The most related module obtained from WGCNA contained 414 genes (correlation coefficient = 0.77, P < 0.01). DPP4 and TXNIP were recognized as the hub genes. The abundance of macrophages M2 and mast cells activated significantly enhanced with increased DPP4 expression (P < 0.05). The binding energy between DPP4/TXNIP and nobiletin was - 7.012/ - 7.184kcal/mol, forming 5/2 hydrogen bonds. Nobiletin effectively suppresses the viability and migration of OV A2780 cells. In this process, DPP4 and TXNIP are the key target, immune regulation, and oxidative stress playing significant roles.

The influence of CLEC5A on early macrophage-mediated inflammation in COPD progression

Chronic obstructive pulmonary disease (COPD) is a complex syndrome with poorly understood mechanisms driving its early progression (GOLD stages 1–2). Elucidating the genetic factors that influence early-stage COPD, particularly those related to airway inflammation and remodeling, is crucial. This study analyzed lung tissue sequencing data from patients with early-stage COPD (GSE47460) and smoke-exposed mice. We employed Weighted Gene Co-Expression Network Analysis (WGCNA) and machine learning to identify potentially pathogenic genes. Further analyses included single-cell sequencing from both mice and COPD patients to pinpoint gene expression in specific cell types. Cell–cell communication and pseudotemporal analyses were conducted, with findings validated in smoke-exposed mice. Additionally, Mendelian randomization (MR) was used to confirm the association between candidate genes and lung function/COPD. Finally, functional validation was performed in vitro using cell cultures. Machine learning analysis of 30 differentially expressed genes identified 8 key genes, with CLEC5A emerging as a potential pathogenic factor in early-stage COPD. Bioinformatics analyses suggested a role for CLEC5A in macrophage-mediated inflammation during COPD. Two-sample Mendelian randomization linked CLEC5A single nucleotide polymorphisms (SNPs) with Forced Expiratory Volume in One Second (FEV1), FEV1/Forced Vital Capacity (FVC) and early/later on COPD. In vitro, the knockdown of CLEC5A led to a reduction in inflammatory markers within macrophages. Our study identifies CLEC5A as a critical gene in early-stage COPD, contributing to its pathogenesis through pro-inflammatory mechanisms. This discovery offers valuable insights for developing early diagnosis and treatment strategies for COPD and highlights CLEC5A as a promising target for further investigation.

Targeting MCL1 with Sanggenon C overcomes MCL1-driven adaptive chemoresistance via dysregulation of autophagy and endoplasmic reticulum stress in cervical cancer

BackgroundCervical cancer ranks as one of the most prevalent malignancies among women worldwide and poses a significant threat to health and quality of life. MCL1 is an antiapoptotic protein closely linked to tumorigenesis, drug-resistance and poor prognosis in various cancers. Sanggenon C, a natural flavonoid derived from Morus albal., exhibits multiple activities, including anti-oxidant, anti-inflammatory, antivirus, and antitumor properties. However, the molecular mechanisms by which Sanggenon C exerts antitumor effects on in cervical cancer remain unclear. PurposeTo investigate the oncogenic role of MCL1 and elucidate the antitumor activity of Sanggenon C, along with its molecular mechanisms, in cervical cancer. MethodsIn vitro, the effects of Sanggenon C on proliferation, the cell cycle, apoptosis, and autophagy were explored. Transcriptome sequencing was employed to analyze critical genes and pathways. The expression of genes or proteins was evaluated via immunofluorescence, qRT-PCR, immunohistochemistry, and Western blotting. To identify targets of Sanggenon C, various techniques such as clinical database analysis, molecular docking, cellular thermal shift assays, co-immunoprecipitation, and ubiquitination assays were utilized. Additionally, Xenograft mouse models were established to further investigate Sanggenon C as a novel MCL1 inhibitor and its anti-tumor activity in vivo. ResultsOur investigation reveals that Sanggenon C effectively inhibits cervical cancer cell proliferation both in vitro and in vivo. Furthermore, Sanggenon C induces endoplasmic reticulum stress and triggers protective autophagy via activation of the ATF4-DDIT3-TRIB3-AKT-MTOR signaling axis. Furthermore, Sanggenon C specifically targets MCL1 to exert its antitumor effects by modulating MCL1 protein stability through SYVN1-mediated ubiquitination. Notably, MCL1 overexpression attenuates the Sanggenon C-induced decrease in cell viability and apoptosis. Our study further characterizes the role of MCL1 in cisplatin resistance and identifies MCL1 as a promising target for Sanggenon C, which effectively inhibits proliferation and induces apoptosis in cisplatin-resistant cervical cancer cells. Importantly, combining Sanggenon C with an autophagy inhibitor represents a promising strategy to enhance therapeutic outcomes in cisplatin-resistant cervical cancer cells. ConclusionOur findings demonstrates that Sanggenon C induces endoplasmic reticulum stress and highlights the potential of targeting MCL1 to exploit vulnerabilities in drug-resistant cervical cancer cells. Sanggenon C emerges as a promising therapeutic agent against MCL1-driven adaptive chemoresistance through disruption of autophagy and endoplasmic reticulum stress in cervical cancer.

Targeting Hippo/YAP in intrahepatic cholangiocarcinoma: Promising molecules in cancer therapy.

The tumorigenesis of intrahepatic cholangiocarcinoma (ICC) has been identified to be exceptionally involved in dysregulated Hippo/Yes-associated protein (YAP) signaling pathway (Hippo/YAP). Hippo/YAP functions as a master regulator engaged in a plethora of physiological and oncogenic processes as well. Therefore, the aberrant Hippo/YAP could serve as an Achilles' heel regarding the molecular therapeutic avenues for ICC patients. Herein, we comprehensively review the recent studies about the underlying mechanism of disrupted Hippo/YAP in ICC, how diagnostic values could be utilized upon the critical genes in this pathway, and what opportunities could be given upon this target pathway.

Dynamic landscape of a competing endogenous RNA (ceRNA) network in Early-Onset Preeclampsia under hypoxia conditions

Objective: Early-onset preeclampsia (EOPE) manifests as elevated blood pressure and indications of organ damage, predominantly in the kidneys, in women before 34 weeks of gestation. A growing body of evidence suggests that hypoxia triggers a series of maladaptive responses culminating in the progression of EOPE. However, the precise mechanisms underlying these processes remain largely undefined. This study aimed to map the dynamic interplay within the competing endogenous RNA (ceRNA) network in EOPE under hypoxic conditions to provide insights into its molecular etiology. Methods: To investigate the oxidative stress response in EOPE, RNA sequencing data (ID: GSE119265) were retrieved from the Gene Expression Omnibus (GEO) database for exhaustive analysis. Oxygen-sensitive differential expressed genes (DEGs) were identified by comparing EOPE samples to controls at 5% and 20% O2 concentrations, respectively. Furthermore, the STRING database facilitated the construction of a protein-protein interaction network, highlighting critical hub genes among the identified DEGs. Results: An intricate ceRNA network encompassing four representative DEGs (AOC1, DCN, TGFB1, and SYNE3) and seven differentially expressed long non-coding RNAs (HCG27, MEG3, XIST, LINC01119, LINC00964, LINC01118, and LINC01588) was established. Conclusions: Our analysis revealed a set of long non-coding RNA that respond to hypoxic stress, shedding light on their possible roles in the oxygen-dependent pathophysiology of EOPE. These insights offer new avenues for targeted EOPE diagnosis and treatment. Further studies are required to elucidate their precise functions.

Multiomics Analysis of Disulfidptosis Patterns and Integrated Machine Learning to Predict Immunotherapy Response in Lung Adenocarcinoma.

Recent studies have unveiled disulfidptosis as a phenomenon intimately associated with cellular damage, heralding new avenues for exploring tumor cell dynamics. We aimed to explore the impact of disulfide cell death on the tumor immune microenvironment and immunotherapy in lung adenocarcinoma (LUAD). We initially utilized pan-cancer transcriptomics to explore the expression, prognosis, and mutation status of genes related to disulfidptosis. Using the LUAD multi- -omics cohorts in the TCGA database, we explore the molecular characteristics of subtypes related to disulfidptosis. Employing various machine learning algorithms, we construct a robust prognostic model to predict immune therapy responses and explore the model's impact on the tumor microenvironment through single-cell transcriptome data. Finally, the biological functions of genes related to the prognostic model are verified through laboratory experiments. Genes related to disulfidptosis exhibit high expression and significant prognostic value in various cancers, including LUAD. Two disulfidptosis subtypes with distinct prognoses and molecular characteristics have been identified, leading to the development of a robust DSRS prognostic model, where a lower risk score correlates with a higher response rate to immunotherapy and a better patient prognosis. NAPSA, a critical gene in the risk model, was found to inhibit the proliferation and migration of LUAD cells. Our research introduces an innovative prognostic risk model predicated upon disulfidptosis genes for patients afflicted with Lung Adenocarcinoma (LUAD). This model proficiently forecasts the survival rates and therapeutic outcomes for LUAD patients, thereby delineating the high-risk population with distinctive immune cell infiltration and a state of immunosuppression. Furthermore, NAPSA can inhibit the proliferation and invasion capabilities of LUAD cells, thereby identifying new molecules for clinical targeted therapy.