Immunohistochemical Validation Research Articles

Predictive Value of Neutrophil Extracellular Traps in Neoadjuvant Chemotherapy for Muscle-Invasive Bladder Cancer.

Cisplatin-based chemotherapy is the recommended therapy for muscle-invasive bladder cancer (MIBC). However, the efficacy of MIBC for chemotherapy is only about 40%. Therefore, predictors of therapy response are urgently needed. Neutrophils form neutrophil extracellular traps (NETs), a network structure, and growing evidence indicated that it could be a prognostic and predictive marker in cancer. In MIBC, the predictive role of NETs in chemotherapy resistance is unclear. We used the Least Absolute Shrinkage and Selection Operator (LASSO) logistic regression analyses to develop a NETs-associated signature score (NETs-score) for therapeutic response prediction in the discovery cohort (GSE169455). Then the NETs score-based risk stratification was verified in two validation cohorts (Taber et al.'s cohort, our institutional cohort). In the training cohort, high NETs-score was associated with poor chemotherapy response (AUC = 0.781) and reduced recurrence-free survival (RFS) (hazard ratio [HR] = 2.07, 95% confidence interval [CI]: [1.26-3.40], p = 0.003) in MIBC patients. The NETs-score was also demonstrated to be a predictive factor for the efficacy of neoadjuvant chemotherapy in the validation cohort (AUC = 0.731). The accuracy of the NETs-score was superior to other chemotherapy response predictors such as Ba/Sq expression subtype (AUC = 0.711), BRCA2 mutation (AUC = 0.692) and ERCC2 mutation (AUC = 0.548). Furthermore, in our center cohort, the expression level of H3Cit showed a significant difference between the response and no-response group (p = 0.01). Through immunohistochemical validation, NETs was an independent predictor of MIBC neoadjuvant chemotherapy efficacy as determined by the multivariate logistic regression analysis (OR = 5.94, 95% CI: 1.20-45.50, p = 0.045). Patients with high levels of NETs predicted poor response to neoadjuvant chemotherapy. This study was the first to reveal the correlation between the level of NETs in MIBC and the efficacy of chemotherapy, which may provide a theoretical basis regarding NETs inhibitors.

Establishment and Validation of Patient-Derived Non-Small Cell Lung Cancer Organoids as In Vitro Lung Cancer Models

Background: Recent advances in the personalized treatment of non-small cell lung cancer (NSCLC) require representative in vitro model systems that reflect tumor heterogeneity and maintain the characteristic genetic aberrations. We therefore aimed to establish patient-derived NSCLC organoids that offer a reliable platform for further investigations. Methods: NSCLC organoids were cultured between May 2020 and February 2022 from surgically resected NSCLC tissue specimens. After histological and immunohistochemical validation, genetic validation was performed by targeted next-generation sequencing of tissue and organoid specimens using the Oncomine Focus Assay (ThermoFisher Scientific). Results: From 37 resected NSCLC samples, 18 primary organoid cultures were successfully established and expanded during early passages. Upon histomorphological validation, organoids showed complementary characteristics when compared to the resected parental tumor, including adenocarcinoma, squamous cell carcinoma, mucoepidermoid carcinoma, and lung carcinoid differentiation. Among nine parental tumors, traceable genetic alterations were detected, and three corresponding organoids lines retained this mutational profile, including a KRAS p.Gly12Val mutation, KRAS p.Gly12Cys mutation, and RET-fusion. Conclusions: The establishment of primary NSCLC organoids from surgically resected tissue is feasible. Histological, immunohistochemical, and genetic validation is essential to identify representative NSCLC organoids that maintain the characteristics of the parental tumor. Overall, low establishment rates remain a challenge for broad clinical applications.

Liquid-Liquid Phase Separation in the Prognosis of Lung Adenocarcinoma: An Integrated Analysis.

Lung adenocarcinoma (LUAD) is a highly lethal malignancy. Liquid-Liquid Phase Separation (LLPS) plays a crucial role in targeted therapies for lung cancer and in the progression of lung squamous cell carcinoma. However, the role of LLPS in the progression and prognosis of LUAD remains insufficiently explored. This study employed a multi-step approach to identify LLPS prognosis-related genes in LUAD. First, differential analysis, univariate Cox regression analysis, Random Survival For-est (RSF) method, and Least Absolute Shrinkage and Selection Operator (LASSO) Cox regres-sion analysis were utilized to identify five LLPS prognosis-related genes. Subsequently, LASSO Cox regression was performed to establish a prognostic score termed the LLPS-related progno-sis score (LPRS). Comprehensive analyses were then conducted based on the LPRS, including survival analysis, clinical feature analysis, functional enrichment analysis, and tumor microenvi-ronment assessment. The LPRS was integrated with additional clinicopathological factors to de-velop a prognostic nomogram for LUAD patients. Immunohistochemical validation was per-formed on clinical tissue samples to further validate the findings. Finally, the relationship be-tween KRT6A, one of the identified genes, and epidermal growth factor receptor (EGFR) muta-tions was investigated. The LPRS was established using five LLPS-related genes: IGF2BP1, KRT6A, LDHA, PKP2, and PLK1. Higher LPRS was closely associated with poor survival outcomes, gender, progression-free survival (PFS), and advanced TNM stage. Furthermore, LPRS emerged as an independent prognostic factor for LUAD. A nomogram integrating LPRS, TNM stage, and age demonstrated remarkable predictive accuracy for prognosis among patients with LUAD. LLPS likely influences LUAD prognosis through the activity of IGF2BP1, KRT6A, LDHA, PKP2, and PLK1. KRT6A exhibits significant upregulation in LUAD, particularly in patients with EGFR mutations. This study introduces a novel LPRS model that demonstrates high accuracy in pre-dicting the clinical prognosis of LUAD. Moreover, the findings suggest that KRT6A may play a critical role in the LLPS-mediated malignant progression of LUAD.

Cocaine taking and craving produce distinct transcriptional profiles in dopamine neurons.

Dopamine (DA) signaling plays an essential role in reward valence attribution and in encoding the reinforcing properties of natural and artificial rewards. The adaptive responses from midbrain dopamine neurons to artificial rewards such as drugs of abuse are therefore important for understanding the development of substance use disorders. Drug-induced changes in gene expression are one such adaptation that can determine the activity of dopamine signaling in projection regions of the brain reward system. One of the major challenges to obtaining this understanding involves the complex cellular makeup of the brain, where each neuron population can be defined by a distinct transcriptional profile. To bridge this gap, we have adapted a virus-based method for labeling and capture of dopamine nuclei, coupled with nuclear RNA-sequencing, to study the transcriptional adaptations, specifically, of dopamine neurons in the ventral tegmental area (VTA) during cocaine taking and cocaine craving, using a mouse model of cocaine intravenous self-administration (IVSA). Our results show significant changes in gene expression across non-drug operant training, cocaine taking, and cocaine craving, highlighted by an enrichment of repressive epigenetic modifying enzyme gene expression during cocaine craving. Immunohistochemical validation further revealed an increase of H3K9me3 deposition in DA neurons during cocaine craving. These results demonstrate that cocaine-induced transcriptional adaptations in dopamine neurons vary by phase of self-administration and underscore the utility of this approach for identifying relevant phase-specific molecular targets to study the behavioral course of substance use disorders.

Identification and validation of diagnostic markers related to immunogenic cell death and infiltration of immune cells in diabetic nephropathy

IntroductionImmunogenic cell death (ICD) is a unique cell death triggered by chemotherapy. However, studies elucidating the potential therapeutic role of ICD and the underlying mechanism in diabetic nephropathy (DN) are limited. MethodsWGCNA was conducted on the human kidney biopsy data linked to DN, analyzing gene sets associated with ICD. Gene Set Enrichment Analysis and Gene Set Variation Analysis were utilized to examine the discrepancy in biological function. We used Gene Ontology, the Kyoto Encyclopedia of Genes and Genomes, and the GeneMANIA database to investigate the function of the signature genes. An analysis using the receiver operating characteristic (ROC) was conducted to validate the diagnostic value of hub genes. Additionally, immune infiltration-related analyses were also performed. In conclusion, we examined the association between the glomerular filtration rate, serum creatinine, and hub genes. Hub genes were validated by immunohistochemistry using db/db mice kidneys. ResultsWGCNA revealed that the targets in the turquoise unit (1674 genes) exhibited the highest positive correlation with ICD. Furthermore, 4222 statistically significant DEGs were identified when comparing the DN and healthy control groups. Significantly, the KEGG pathway enrichment analysis indicated a connection between ICD and the nuclear factor-kappa B signaling pathway and the synthesis of cytokines (tumor necrosis factor superfamily). ROC analysis revealed that 16 hub genes exhibited strong discriminatory potential as biomarkers for DN. Therefore, immunohistochemical validation, with the potential involvement of chemokines (CCL11, CCR2, CCR7, CX3CR1, CXCL10, CXCL12, and CXCR5) and immune cells (CD3G, CD5, and CD247) may be crucial for the diagnosis and therapy of DN. ConclusionsDKK3, NR4A1, NR4A2, VEGFA, and DUSP1 may be associated with the development of DN. The pathogenesis of DN may specifically involve chemokines (CCL11, CCR2, CCR7, CX3CR1, CXCL10, CXCL12, and CXCR5) and immune cells (CD3G, CD5, and CD247), with LCP2 playing a significant role.

Integrated immuno-transcriptomic analysis of ovarian cancer identifies a four-chemokine-dominated subtype with antitumor immune-active phenotype and favorable prognosis.

Ovarian cancer (OV) is a heterogeneous disease but has traditionally been treated as an immunologically cold malignancy. The relationship between the immune-active cancer phenotype typified by a T helper 1 (Th-1) immune response and clinical outcome in OV remains uncertain. A cohort-scale compendium of transcriptomic data from 2850 OV samples from 19 individual datasets was compiled for integrative immuno-transcriptomic analysis. The immunological constant of rejection was used as a metric to assess the Th-1/cytotoxic response orientation and investigate the clinical-biological significance of immune polarization towards a Th-1 immune response. Single-cell RNA sequencing data from 39 OV samples were analyzed to elucidate the variability of the immune microenvironment, and immunohistochemical validation was performed on 39 samples from the Harbin Medical University Cancer Hospital. Our results demonstrated the prognostic significance of a Th-1/cytotoxic immune profile within the tumor microenvironment (TME) using the immunological constant of rejection classification to OV samples. Specifically, patients with tumors expressing high levels of ICR markers showed significantly improved survival. A gene panel consisting of four chemokines (CXCL9, CXCL10, CXCL11 and CXCL13) was identified as critical players in mediating the establishment of an active T-cell-inflamed antitumor phenotype. This 4-chemokine signature, which was extensively validated in external multicenter cohorts through transcriptomic profiling and in an independent in-house cohort through immunohistochemistry, introduced a novel immune classification in OV and identified a chemokine-dominated subtype associated with an active antitumor immune phenotype and favorable prognosis. Single-cell transcriptomic analysis revealed that chemokine-dominated tumors increase CXCR3 + NK and T cell recruitment to the TME primarily through the overexpression of macrophage-derived CXCL9/10/11. This study provides new insights into understanding immune heterogeneity within the TME and paves the way for tailoring appropriate therapeutic interventions for patients with differing immune profiles.

KRT18 as a Novel Biomarker of Urothelial Papilloma while Evaluating Low-Grade Papillary Urothelial Neoplasms: Bi-Center Analysis.

Although urothelial papilloma (UP) is an indolent papillary neoplasm that can mimic the morphology of low-grade papillary urothelial carcinoma (PUC), there is no immunomarker to differentiate reliably these two entities. In addition, the molecular characteristics of UP are not fully understood. We conducted an in-depth proteomic analysis of papillary urothelial lesions (n = 31), including UP and PUC along with normal urothelium. Protein markers distinguishing UP and PUC were selected with machine learning analysis, followed by internal and external validation using immunohistochemistry. In the proteomic analysis, UP and PUC showed overlapping proteomic profiles. We identified EHD4 and KRT18 as candidate diagnostic biomarkers of UP. Through immunohistochemical validation in two independent cohorts (n = 120), KRT18 was suggested as a novel UP diagnostic marker, able to differentiate UP from low-grade PUC. We also found that 3.5% of patients with UP developed urothelial carcinoma in subsequent resections, supporting the malignant potential of UP. KRT18 downregulation was significantly associated with UPs subsequently progressing to urothelial carcinoma, following their initial diagnosis. This is the first study that successfully revealed UPs comprehensive proteomic landscape, while it also identified KRT18 as a potential diagnostic biomarker of UP.

Prognostic Significance of Elevated UCHL1, SNRNP200, and PAK4 Expression in High-Grade Clear Cell Renal Cell Carcinoma: Insights from LC-MS/MS Analysis and Immunohistochemical Validation.

Recent advancements in proteomics have enhanced our understanding of clear cell renal cell carcinoma (CCRCC). Utilizing a combination of liquid chromatography-tandem mass spectrometry (LC-MS/MS) followed by immunohistochemical validation, we investigated the expression levels of UCHL1, PAK4, and SNRNP200 in high-grade CCRCC samples. Our analysis also integrated Reactome pathway enrichment to elucidate the roles of these proteins in cancer-related pathways. Our results revealed significant upregulation of UCHL1 and SNRNP200 and downregulation of PAK4 in high-grade CCRCC tissues compared to non-cancerous tissues. UCHL1, a member of the ubiquitin carboxy-terminal hydrolase family, showed variable expression across different tissues and was notably involved in the Akt signaling pathway, which plays a critical role in cellular survival in various cancers. SNRNP200, a key component of the RNA splicing machinery, was found to be essential for proper cell cycle progression and possibly linked to autosomal dominant retinitis pigmentosa. PAK4's role was noted as critical in RCC cell proliferation and invasion and its expression correlated significantly with poor progression-free survival in CCRCC. Additionally, the expression patterns of these proteins suggested potential as prognostic markers for aggressive disease phenotypes. This study confirms the upregulation of UCHL1, SNRNP200, and PAK4 as significant factors in the progression of high-grade CCRCC, linking their enhanced expression to poor clinical outcomes. These findings propose these proteins as potential prognostic markers and therapeutic targets in CCRCC, offering novel insights into the molecular landscape of this malignancy and highlighting the importance of targeted therapeutic interventions.

Liquiritin exerts psoriasis therapy and prevention by regulating the YY1/RBP3 axis

BackgroundPsoriasis (PSO) poses a global health threat. The current research challenge in PSO is relapse. Liquiritin (LIQ), a major active compound from Glycyrrhiza inflata Batalin, has multiple pharmacological properties, including anti-inflammatory and anti-proliferative. Nonetheless, the precise mechanisms underlying LIQ's therapeutic actions in PSO and prevention abilities remain elusive. PurposeThe present study aimed to delve into the potential to treat and prevent PSO and the mechanism of LIQ. MethodsThe anti-inflammatory and anti-proliferative effects of LIQ were studied in vitro with the HaCaT cell line. Then, Transcriptional analysis and bioinformatic analysis were used to determine the internal associations of the target set. Subsequently, functional experiment, luciferase report assay, ChIP-PCR, and immunohistochemical validation of clinical samples were performed to investigate the mechanism of LIQ. Finally, the anti-psoriatic effects and prevention abilities of LIQ were verified in vivo with imiquimod (IMQ)-induced PSO-like mouse models. ResultsHere, we identified differentially expressed genes in LIQ-stimulated HaCaT cells and Retinol-Binding Protein 3 (RBP3) as the core target, whereas YY1 was a predicted upstream transcription factor of RBP3. The YY1/RBP3 axis was obviously altered after administering LIQ at optimal doses of 20 μM in vitro and 100 µg/ml in vivo. LIQ can significantly inhibit the progression of PSO in vivo. Notably, LIQ also prevented the relapse of psoriatic lesions induced by the second round of low-dose IMQ. Mechanistically, we observed that LIQ could increase the promotion of YY1 for RBP3 by enhancing the binding affinity between them. ConclusionThese findings revealed that the YY1/RBP3 axis is a potential psoriatic target, and LIQ is a promising and innovative therapeutic candidate for the treatment and prevention of PSO.

Differential Abundance of DNA Damage Sensors and Innate Immune Signaling Proteins in Inositol Polyphosphate 4-Phosphatase Type II–Negative Triple-Negative Breast Cancer Classified by Immunotype

The influence of neoplastic cells on the tumor microenvironment is poorly understood. In this study, eight patient samples representing two immunotypes of triple-negative breast cancer (TNBC), defined by quantitative histologic criteria as T-cell desert and T-cell infiltrated (TCI), were compared via label-free quantitative protein mass spectrometry of material extracted directly from targeted regions of formalin-fixed, paraffin-embedded tissue sections. Of 2934 proteins quantitated, 439 were significantly differentially abundant, among which 361 were overabundant in TCI-TNBC. The 361-protein group included proteins involved in major histocompatibility complex-I antigen processing and presentation, viral defense, DNA damage response, and innate immune signaling. Immunohistochemical validation of selected proteins showed good positive correlation between neoplastic cell histoscores and label-free quantitation. Extension of immunohistochemical analysis to a total of 58 inositol polyphosphate 4-phosphatase type II-negative TNBC confirmed elevated levels of the DNA damage sensor interferon-γ-inducible protein 16, inflammasome adaptor ASC, and pore-forming protein gasdermin D in TCI-TNBC neoplastic cells. By contrast, cGMP-AMP synthase inhibitor BAF was elevated in the neoplastic cells of T-cell desert TNBC. These findings demonstrate a previously unknown correlation between the degree of T-cell infiltration in inositol polyphosphate 4-phosphatase type II-negative TNBC and the levels, in cognate neoplastic cells, of proteins that modulate innate immune signaling in response to DNA damage.

Therapeutic Effect of Lecigel, Cetiol®CC, Activonol-6, Activonol-M, 1,3-Propanediol, Soline, and Fucocert® (LCAA-PSF) Treatment on Imiquimod-Induced Psoriasis-like Skin in Mice.

The individual ingredients of 1,3-Propanediol, Soline, and Fucocert® (PSF) are often used as cosmetic formulations in skin care. In addition, the mixture of Lecigel, Cetiol®CC, Activonol-6, and Activonol-M (LCAA) is often used as a cosmetic base. However, whether the combination of LCAA with PSF (LCAA-PSF) exerts a therapeutic effect on psoriasis remains unclear. In this study, mice induced with imiquimod (IMQ) were divided into three groups and administered 100 mg/day of LCAA, 100 mg/day of LCAA-PSF, or Vaseline on the dorsal skin of each mouse. Weight-matched mice treated with Vaseline alone were used as controls. Hematoxylin and eosin (H&E) staining and enzyme-linked immunosorbent assay(ELISA) were used to assess tissue morphology and inflammatory cytokines. RNA sequencing analysis was used to predict the mechanism underlying the action of LCAA-PSF against psoriasis, while immunohistochemical analysis validation was used to identify pertinent molecular pathways. The results demonstrated that LCAA-PSF alleviated IMQ-induced keratinocyte differentiation/ proliferation bydecreasingthe serum levels of inflammatory cytokines such as IL-6, TNF-α, IL-23, and IL-17A and the epidermisof TGFβ, Ki67, CK5/6, and VEGF expression, which is associated with angiogenesis and keratinocyte differentiation/ proliferation. These findings highlight the antipsoriatic activity of LCAA-PSF in a psoriasis-like mouse model and suggest this may occurvia the inhibition of inflammatory factor secretionand the TGFβ-related signal pathway.

SCG2 and CPE may be novel markers for the identification of pancreatic neuroendocrine tumors and solid pseudopapillary neoplasms.

Distinguishing pancreatic neuroendocrine tumors (pNETs) from solid pseudopapillary neoplasms (SPNs) is challenging, primarily due to their overlapping pathological characteristics. To address this, our study aims to identify and validate novel biomarkers that effectively differentiate between these two conditions. We focus on the exploration of new immunohistochemical markers to enhance this distinction. In this study, we analyzed genetic variations in pNETs and SPNs using the GSE43795 dataset from the Gene Expression Omnibus (GEO) database. Our approach was to identify genes with higher expression in pNETs compared to SPNs and normal pancreatic tissues. We conducted enrichment analyses to understand the functions of these genes. Furthermore, protein-protein interaction (PPI) network analysis was utilized to identify key genes associated with pNETs. Our sample consisted of 163 pancreatic tumor specimens, comprising 78 pNETs and 85 SPNs. We also collected clinicopathological data and used immunohistochemistry to measure the expression levels of these key genes. The enrichment analysis revealed that genes overexpressed in pNETs were mainly involved in signal release, vesicle transport, and ion pathway activation, playing significant roles in endocrine processes like insulin secretion, dopamine synapses, and circadian rhythm regulation. The PPI analysis identified secretogranin II (SCG2), carboxypeptidase E (CPE), and chromogranin A (CgA, CHGA) as key markers for differentiating pNETs from SPNs. Immunohistochemical validation of these markers demonstrated high sensitivity (SCG2: 98.7%, CPE: 97.4%) and specificity (100%), indicating their superior discriminative power compared to traditional markers like CgA, β-catenin, lymphoid enhancer-binding factor 1 (LEF1), and vimentin. Our study indicates that SCG2 and CPE are effective, novel immunohistochemical biomarkers for differentiating pNETs from SPNs.

MDB-64. NOVEL TRANSCRIPTS ASSOCIATE WITH SURVIVAL IN CHILDHOOD MEDULLOBLASTOMA

Abstract BACKGROUND Medulloblastoma is the commonest malignant brain tumour in childhood, with progression-free survival (PFS) <65% in high-risk disease. Novel biomarkers, independent of current clinicopathological risk factors, could enhance understanding of biology and support improved treatment approaches. METHODS Using high-depth RNA sequencing of 217 patients, we identified novel multi-exonic medulloblastoma transcripts using a de novo analysis. We evaluated these alongside known/curated gene transcripts, including correlative survival analysis for 170 patients (aged 3-16 years and treated with curative intent). Multivariable survival analyses of the overall cohort (n=145) and a MBGroup3/MBGroup4 (Group3/Group4)-specific subcohort (n=95) was undertaken to identify prognostic transcripts, adjusting for current risk criteria and correcting for multiple testing. RESULTS From 3,150 novel transcripts identified, expression of 217 varied significantly and were further assessed. One was prognostic for PFS independent of subgroup (located on chromosome 20) while three were independently prognostic within Group3/Group4 (located on chromosome 1, 4 and 21 respectively). Transcript presence was validated by qPCR. From >60,000 known transcripts identified, 9693 were assessed. Four were independently prognostic for PFS in the whole-cohort (MRPS12, SLC25A34, MLYCD and ROGD1). In Group3/Group4, the top upregulated canonical pathways associated with PFS were: polo-like kinase, cyclin/cell cycle regulation, BRCA1/ DNA damage response, and glutamate receptor signalling. MELK and NQO2 were among the top 10 transcripts most highly associated with Group3/Group4 PFS. The prognostic significance of six transcripts (MRPS12, MLYCD, MELK, CDK4, NQO2, ROGD1) was validated in an independent Group3/Group4 dataset (n=470) while ROGD1 was prognostic independent of subgroup. Immunohistochemical validation showed low CDK4 expression, low MLYCD expression and high CHK1 expression were independent prognosticators in Group3/Group4. CONCLUSION De novo transcripts represent a significant component of the medulloblastoma transcriptome, providing prognostic information, and enhancing biological understanding of Group3/Group4 disease. CHK1 and MELK represent promising validated candidates for further evaluation as prognostic biomarkers in Group3/Group4 medulloblastoma.

An effective way for targeting EGFR-mediated carcinogenesis: an in vitro study

Introduction: EGFR-activating overexpression or somatic mutations are common in different human cancers. In this regard, the search for promising ways to control the carcinogenic transformation of tumor cells and the progression of malignant tumors expressing EGFR seems to be one of the most promising and developing areas of modern molecular pathology and pharmacology. Material and Methods: An antitumor activity of a novel compound, a pyridine carboxylic acid derivative LHT-17-19, was studied. The molecule was developed and synthesized at the Department of Chemistry, Drug Design and Technology of All-Russian Research Center for Biological Active Compounds Safety (Russia). The study was carried out in cell cultures of stomach cancer (Hs746T, AGS and MKN1) and patient-derived organoid (PDO) model of breast cancer (BC) expressing wild-type EGFR. Results: It was shown that LHT-17-19 induced concentration-dependent cytotoxicity of EGFR-expressing gastric cancer cells of all the aforementioned cultures. Pathomorphological, immunohistochemical and molecular validation of BC organoids derived from ductal breast carcinoma cells of a 68-year-old patient was done. PDOs were established as ER-negative, PR-negative, Her2/neu-negative, EGFR-positive with 35% of the Ki-67 expression index. In addition, the tumor cells translocation was resulted in a loss of ER expression and PDOs molecular pattern conversion towards a more aggressive triple negative type. PDOs incubation with 0.5-60.0 µM LHT-17-19 was accompanied not only by inhibition of their growth and proliferation, but also by significant cytoreduction. Conclusion: Thus, in two-dimensional and three-dimensional tumor cell cultures, the possibility of controlling the oncogenic expression of EGFR with the acridone compound 9-ammonium-3,3-dimethyl-3,4-dihydroacridine-1(2H)-OH L-2-hydroxybutanedivacate (LHT-17-19) was shown.

Single-cell and spatial transcriptomics reveal a high glycolysis B cell and tumor-associated macrophages cluster correlated with poor prognosis and exhausted immune microenvironment in diffuse large B-cell lymphoma

BackgroundDiffuse large B-cell lymphoma (DLBCL) is a heterogeneous malignancy characterized by varied responses to treatment and prognoses. Understanding the metabolic characteristics driving DLBCL progression is crucial for developing personalized therapies.MethodsThis study utilized multiple omics technologies including single-cell transcriptomics (n = 5), bulk transcriptomics (n = 966), spatial transcriptomics (n = 10), immunohistochemistry (n = 34), multiple immunofluorescence (n = 20) and to elucidate the metabolic features of highly malignant DLBCL cells and tumor-associated macrophages (TAMs), along with their associated tumor microenvironment. Metabolic pathway analysis facilitated by scMetabolism, and integrated analysis via hdWGCNA, identified glycolysis genes correlating with malignancy, and the prognostic value of glycolysis genes (STMN1, ENO1, PKM, and CDK1) and TAMs were verified.ResultsHigh-glycolysis malignant DLBCL tissues exhibited an immunosuppressive microenvironment characterized by abundant IFN_TAMs (CD68+CXCL10+PD-L1+) and diminished CD8+ T cell infiltration. Glycolysis genes were positively correlated with malignancy degree. IFN_TAMs exhibited high glycolysis activity and closely communicating with high-malignancy DLBCL cells identified within datasets. The glycolysis score, evaluated by seven genes, emerged as an independent prognostic factor (HR = 1.796, 95% CI: 1.077–2.995, p = 0.025 and HR = 2.631, 95% CI: 1.207–5.735, p = 0.015) along with IFN_TAMs were positively correlated with poor survival (p < 0.05) in DLBCL. Immunohistochemical validation of glycolysis markers (STMN1, ENO1, PKM, and CDK1) and multiple immunofluorescence validation of IFN_TAMs underscored their prognostic value (p < 0.05) in DLBCL.ConclusionsThis study underscores the significance of glycolysis in tumor progression and modulation of the immune microenvironment. The identified glycolysis genes and IFN_TAMs represent potential prognostic markers and therapeutic targets in DLBCL.

Establishment of a prognostic model for hypoxia-associated genes in OPSCC and revelation of intercellular crosstalk.

Hypoxia exerts a profound influence on the tumor microenvironment and immune response, shaping treatment outcomes and prognosis. Utilizing consistency clustering, we discerned two hypoxia subtypes in OPSCC bulk sequencing data from GEO. Key modules within OPSCC were identified through weighted gene correlation network analysis (WGCNA). Core modules underwent CIBERSORT immune infiltration analysis and GSEA functional enrichment. Univariate Cox and LASSO analyses were employed to construct prognostic models for seven hypoxia-related genes. Further investigation into clinical characteristics, the immune microenvironment, and TIDE algorithm prediction for immunotherapy response was conducted in high- and low-risk groups. scRNA-seq data were visually represented through TSNE clustering, employing the scissors algorithm to map hypoxia phenotypes. Interactions among cellular subpopulations were explored using the Cellchat package, with additional assessments of metabolic and transcriptional activities. Integration with clinical data unveiled a prevalence of HPV-positive patients in the low hypoxia and low-risk groups. Immunohistochemical validation demonstrated low TDO2 expression in HPV-positive (P16-positive) patients. Our prediction suggested that HPV16 E7 promotes HIF-1α inhibition, leading to reduced glycolytic activity, ultimately contributing to better prognosis and treatment sensitivity. The scissors algorithm effectively segregated epithelial cells and fibroblasts into distinct clusters based on hypoxia characteristics. Cellular communication analysis illuminated significant crosstalk among hypoxia-associated epithelial, fibroblast, and endothelial cells, potentially fostering tumor proliferation and metastasis.

Potential Efficacy of 68 Ga-Trivehexin PET/CT and Immunohistochemical Validation of αvβ6 Integrin Expression in Patients With Head and Neck Squamous Cell Carcinoma and Pancreatic Ductal Adenocarcinoma.

αvβ6 integrin is exclusively expressed in epithelial cells and is upregulated in many carcinomas, such as pancreatic ductal adenocarcinomas (PDACs) and head and neck squamous cell carcinomas (H&NSCCs). Trivehexin is a recently synthesized trimerized αvβ6 integrin selective nonapeptide, which can be labeled with a positron emitter like 68 Ga. This is a pilot study to assess the potential role of 68 Ga-Trivehexin PET/CT in patients with H&NSCC and PDAC and their correlation with αvβ6 integrin expression by the tumor tissue on immunohistochemistry (IHC). Thirty-two patients with suspected H&NSCC (n = 20) or PDAC (n = 12) underwent whole-body 68 Ga-Trivehexin PET/CT and 18 F-FDG PET/CT scans on 2 separate days. All 32 patients underwent biopsy from the tumor site for histopathological diagnosis and IHC for αvβ6 integrin expression. The degree of αvβ6 integrin expression on IHC was scored using the immunoreactive score and modified 4-point immunoreactive score classification. The 68 Ga-Trivehexin PET images demonstrated increased tracer uptake (mean SUV max 5.9 ± 3.3) in the primary and metastatic lesions with good lesion delineation in 8 out of the 9 cases of PDACs. However, FDG PET showed increased tracer uptake in 7 cases (6.2 ± 2.6). Among various cases of H&NSCC, increased uptakes of 68 Ga-Trivehexin (6.6 ± 4.5) and 18 F-FDG (12.7 ± 6.7) were seen in 17 out of the 18 patients. The 2 cases of inflammatory changes with suspected disease recurrence showed increased tracer uptake in 18 F-FDG PET (7.98 ± 3.1) and no significant uptake in 68 Ga-Trivehexin PET (2.2 ± 0.34).IHC showed higher expression of αvβ6 integrins in lesions with higher uptake of 68 Ga-Trivehexin. A higher sensitivity, specificity, and accuracy of 68 Ga-Trivehexin PET over 18 F-FDG PET was seen for detection of primary and metastatic lesions. 68 Ga-Trivehexin is a promising noninvasive molecular imaging agent for tumors expressing αvβ6 integrin, especially in cases where 18 F-FDG PET/CT scan may be suboptimal due to its low uptake, or due to its nonspecific uptake around tumor sites.

Identifying CTH and MAP1LC3B as ferroptosis biomarkers for prognostic indication in gastric cancer decoding

Gastric cancer (GC), known for its high incidence and poor prognosis, urgently necessitates the identification of reliable prognostic biomarkers to enhance patient outcomes. We scrutinized data from 375 GC patients alongside 32 non-cancer controls, sourced from the TCGA database. A univariate Cox Proportional Hazards Model (COX) regression was employed to evaluate expressions of ferroptosis-related genes. This was followed by the application of Least Absolute Shrinkage and Selection Operator (LASSO) and multivariate COX regression for the development of prognostic models. The composition of immune cell subtypes was quantified utilizing CIBERSORT, with their distribution in GC versus control samples being comparatively analyzed. Furthermore, the correlation between the expressions of Cystathionine Gamma-Lyase (CTH) and Microtubule Associated Protein 1 Light Chain 3 Beta (MAP1LC3B) and the abundance of immune cell subtypes was explored. Our bioinformatics findings underwent validation through immunohistochemical analysis. Our prognostic models integrated CTH and MAP1LC3B. Survival analysis indicated that patients categorized as high-risk, as defined by the model, exhibited significantly lower survival rates compared to their low-risk counterparts. Notably, CTH expression inversely correlated with monocyte levels, while MAP1LC3B expression showed an inverse relationship with the abundance of M2 macrophages. Immunohistochemical validation corroborated lower expressions of CTH and MAP1LC3B in GC tissues relative to control samples, in concordance with our bioinformatics predictions. Our study suggests that the dysregulation of CTH, MAP1LC3B, and the accompanying monocyte-macrophage dynamics could be pivotal in the prognosis of GC. These elements present potential targets for prognostic assessment and therapeutic intervention.

Expression of FAT1 in Lung Adenocarcinoma and Its Relationship with Immune Cell Infiltration

Lung cancer is a leading cause of cancer-related deaths. Non-small cell lung cancer (NSCLC) is the most common pathological subtype, with adenocarcinoma being the predominant type. FAT atypical cadherin 1 (FAT1) is a receptor-like protein with a high frequency of mutations in lung adenocarcinoma. The protein encoded by FAT1 plays a crucial role in processes such as cell adhesion, proliferation, and differentiation. This study aims to investigate the expression of FAT1 in lung adenocarcinoma and its relationship with immune infiltration. Gene expression levels and relevant clinical information of 513 lung adenocarcinoma samples and 397 adjacent lung samples were obtained through The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) data. The mRNA expression levels of the FAT1 gene in lung adenocarcinoma tissues were analyzed, along with its association with the prognosis of lung adenocarcinoma patients. Pathway enrichment analysis was conducted to explore the signaling pathways regulated by the FAT1 gene. Immunoblotting was used to detect the differential expression of FAT1 in lung epithelial cells and various lung cancer cell lines, while immunohistochemistry was employed to assess FAT1 expression in lung cancer and adjacent tissues. FAT1 gene mutations were identified in 14% of lung adenocarcinoma patients. TCGA database data revealed significantly higher FAT1 mRNA expression in lung adenocarcinoma tissues compared to adjacent lung tissues. Kaplan-Meier analysis indicated lower survival rates in lung adenocarcinoma patients with higher FAT gene expression. Pathway enrichment analysis suggested the involvement of FAT1 in tumor development pathways, and its expression was closely associated with immune cell infiltration. Immunohistochemical validation demonstrated significantly higher expression of FAT1 in cancer tissues compared to adjacent lung tissues. FAT1 mRNA is highly expressed in lung adenocarcinoma tissues, and elevated FAT1 mRNA expression is associated with poor prognosis in lung adenocarcinoma patients. FAT1 may serve as a potential biomarker for lung cancer.

Drug resistance mechanisms in dopamine agonist-resistant prolactin pituitary neuroendocrine tumors and exploration for new drugs

BackgroundThe treatment of dopamine agonists (DA) resistant prolactinomas remains a formidable challenge, as the mechanism of resistance is still unclear, and there are currently no viable alternative drug therapies available. This study seeks to investigate the mechanism of DA resistance in prolactinomas and identify new potentially effective drugs. MethodsTo explore the mechanism of DA resistance in prolactinomas, this study conducted transcriptome sequencing analysis on 27 cases of DA-resistant prolactinomas and 10 cases of sensitive prolactinomas. In addition, single-cell sequencing analysis was performed on 3 cases of DA-resistant prolactinomas and 3 cases of sensitive prolactinomas. Furthermore, to screen for potential therapeutic drugs, the study successfully established an organoids model for DA-resistant prolactinomas and screened 180 small molecule compounds using 8 organoids. The efficacy of the identified drugs was verified through various assays, including CCK-8, colony formation, CTG, and flow cytometry, and their mechanisms of action were confirmed through WB and IHC. The effectiveness of the identified drugs was evaluated both in vitro and in vivo. ResultsThe results of transcriptome sequencing and single-cell sequencing analyses showed that DA resistance in prolactinomas is associated with the upregulation of the Focal Adhesion (FA) signaling pathway. Additionally, immunohistochemical validation revealed that FAK and Paxillin were significantly upregulated in DA-resistant prolactinomas. Screening of 180 small molecule compounds using 8 organoids identified Genistein as a potentially effective drug for DA-resistant prolactinomas. Experimental validation demonstrated that Genistein inhibited the proliferation of pituitary tumor cell lines and organoids and promoted apoptosis in pituitary tumor cells. Moreover, both the cell sequencing results and WB validation results of the drug-treated cells indicated that Genistein exerts its anti-tumor effect by inhibiting the FA pathway. In vivo, experiments also showed that Genistein can inhibit subcutaneous tumor formation. ConclusionDA resistance in prolactinomas is associated with upregulation of the Focal Adhesion (FA) signaling pathway, and Genistein can exert its anti-tumor effect by inhibiting the expression of the FA pathway.