Invasion Of Malignant Tumors Research Articles

Intratumoral Transforming Boron Nanosensitizers for Amplified Boron Neutron Capture Therapy.

Boron neutron capture therapy (BNCT) is an advanced binary tumor-cell-selected heavy-particle radiotherapy used for treating invasive malignant tumors. However, its clinical applications have been impeded by the rapid metabolism and insufficient tumor-specific accumulation of boron agents. To tackle this issue, we develop a smart boron nanosensitizer (BATBN) capable of transforming its size in response to cancer biomarker for optimal balance between penetration and retention of boron-10 for BNCT. BATBN comprises an ultrasmall boron quantum dots (BQD) core (4 nm) conjugated with cell-penetrating peptides, which facilitates its cellular uptake and deep tumor penetration. In the tumor microenvironment, the tumor biomarker can specifically initiate a self-condensation reaction of BATBN, leading to the formation of larger-sized nanoaggregates. Due to such a specific intratumoral transformation, BATBN demonstrates a 2.4-fold increase in intratumoral boron concentration and a 5.0-fold increase in tumor retention time compared to the BQDs. Thus, the tumor volume of the BATBNs-treatment group is 2.7-fold smaller than that of BQDs in preclinical tumor models after 21 days of neutron irradiation treatment. This study presents a supramolecular strategy to endow BNCT agents with the biomarker-activated size interconversion, permitting precise and efficient BNCT for cancer treatment.

LncRNA H19 Activates the RAS-MAPK Signaling Pathway via miR-140-5p/SOS1 Axis in Malignant Liver Tumors.

To study the influences of LncRNA H19 (H19) on malignant liver tumor cells and elucidate the underlying molecular mechanisms. H19 expression in liver tumor tissues, matched normal liver tissues, human liver malignant tumor cell lines and the human hepatocyte line LO2 was assessed via quantitative RT-PCR. Cell viability analysis and Matrigel invasion analysis were performed to evaluate the effects of H19 on cell proliferation and invasion. Luciferase reporter analysis was carried out to assess the interaction between miR-140-5p and SOS Ras/Rac guanine nucleotide exchange factor 1 (SOS1). The influence of H19 on the Ras-MAPK signalling pathway was evaluated by detecting key protein levels via active Ras pull-down analysis and Western blot analysis. H19 expression was lower in liver cancer samples than in matched normal liver tissue samples. H19 overexpression enhanced the proliferation and invasion of HepG2 and SMMC-7721 cells. H19 overexpression increased the level of activated Ras. The expression levels of phosphorylated Raf, phosphorylated ERK and phosphorylated MEK were increased by H19 overexpression. H19 knockdown had the opposite effect. Treatment with a MAPK inhibitor significantly reversed the influence of H19 overexpression on liver malignant tumor cell growth and invasion. The MAPK activator reversed the opposing effects of H19 silencing. H19 overexpression increased the protein level of SOS1, and miR-140-5p directly targeted SOS1. H19 can activate the Ras-MAPK signalling pathway via the miR-140-5p/SOS1 axis in malignant liver tumour cells.

Size‐Tunable Boron Nanoreactors for Boron Neutron Capture Synergistic Chemodynamic Therapy of Tumor

AbstractBoron neutron capture therapy (BNCT) stands out as a noninvasive potential modality for invasive malignant tumors, with boron drugs playing a crucial role in its efficacy. Nevertheless, the development of boron drugs with biodegradability, as well as high permeability and retention effects, continues to present significant challenges. Here, we fabricate a size‐tunable boron nanoreactor (TBNR) via assembling boron nitride quantum dots (BNQDs) and Fe3+ for tumor BNCT and chemodynamic (CDT) synergistic treatment. The obtained TBNR with an appropriate size exhibits superior tumor accumulation and retention. Upon stimulation by the tumor microenvironment (TME), the contained Fe3+ undergo redox reactions with glutathione (GSH) to produce Fe2+ Fenton reagents, which in turn activate CDT function and simultaneously induce TBNR depolymerization. Subsequently, the released ultrasmall BNQDs exhibit intra‐deep penetration characteristic and are fully enriched at the tumor site. The in vivo experiments reveal that TBNR possesses excellent biocompatibility and superior synergistic anti‐tumor ability post neutron irradiation, resulting in significant shrinkage of subcutaneous 4T1 tumors. Moreover, the TBNR‐mediated BNCT has triggered an obvious immune response, which contributes to the long‐term suppression of tumors after neutron irradiation. To conclude, this study provides a new approach for constructing more efficient versatile nanocarriers for BNCT‐induced combination cancer therapies.

Mechanism of MEETL3 in the proliferation, invasion, and migration of intrahepatic cholangiocarcinoma cells via m6A modification

Intrahepatic cholangiocarcinoma (ICC) is a primary invasive malignant tumor. This study was conducted to explore the role of methyltransferase-like 3 (METTL3)-mediated m6A modification in ICC cells and provide novel targets for ICC treatment. Levels of METTL3/YTH N6-methyladenosine RNA binding protein 2 (YTHDF2)/Nedd4 family interacting protein 1 (NDFIP1) in cells were determined. Cell viability, proliferation, invasion, and migration were evaluated. The enrichments of METTL3, YTHDF2, and m6A on NDFIP1 mRNA were analyzed. The mRNA stability was determined. Inhibition of YTHDF2 or NDFIP1 was combined with si-METTL3 to confirm the mechanism. The role of METTL3 in vivo was verified. METTL3 was overexpressed in ICC cells. METTL3 silencing suppressed ICC cell malignant behaviors, which were reversed by METTL3 overexpression. METTL3 increased m6A modification on NDFIP1 mRNA, facilitated YTHDF2 recognition of m6A, and promoted NDFIP1 mRNA degradation, thereby suppressing NDFIP1 expression. YTHDF2 inhibition increased NDFIP1 mRNA levels. NDFIP1 downregulation partially reversed the inhibitory effects of si-METTL3 on ICC cell behaviors, while NDFIP1 overexpression partially reversed the promotive effects of METTL3 on ICC cell behaviors. METTL3 downregulation suppressed ICC growth by increasing NDFIP1 expression. In conclusion, METTL3 aggravates ICC cell proliferation, invasion, and migration by promoting the degradation of NDFIP1 mRNA in a YTHDF2-dependent manner.

Short-to-Mid-Term Outcomes of Ipsilateral Femoral Head Autograft Combined with Uncemented Total Hip Replacement for Partial Periacetabular Defects Following Tumor Resection.

Periacetabular tumors, especially in young to middle-aged patients with invasive benign tumors or low-grade malignant tumors involving type II or II + III, present significant challenges due to their rarity and the complexity of the anatomical and biomechanical structures involved. The primary difficulty lies in balancing the need to avoid unfavorable oncological outcomes while maintaining postoperative hip joint function during surgical resection. This study aimed to evaluate the effectiveness and reliability of a surgical method involving partial weight-bearing acetabular preservation combined with the use of an uncontaminated femoral head autograft to reconstruct the segmental bone defect after intra-articular resection of the tumorous joint, providing a solution that ensures both oncological safety and functional preservation of the hip joint in these patients. We conducted a retrospective study with a follow-up period of at least 36 months. From January 2010 to October 2020, we reviewed 20 cases of patients under 60 year of age with periacetabular invasive benign tumors or primary low-grade malignant tumors. All patients underwent reconstruction of the tumorous joint using autologous femoral head grafts. Data collected included patient age, gender, tumor type, preoperative and postoperative visual analog scale (VAS) scores, Musculoskeletal Tumor Society (MSTS) scores, Harris Hip Scores (HHS), patient survival rates, postoperative tumor recurrence, and surgical complications. To analyze the data, we utilized various statistical methods, including descriptive statistics to summarize patient demographics and clinical characteristics, and paired sample t-tests to compare preoperative and postoperative scores. The study included 20 patients, and a total median follow-up was 83 months. Their pathologic diagnoses comprised 13 giant cell tumors (GCTs), 5 chondrosarcomas, one chondroblastoma, and 1 leiomyosarcoma. Postoperatively, the median differences in vertical and horizontal center of rotation (COR) were 3.8 and 4.0 mm. Median limb length discrepancy (LLD) postoperatively was 5.7 mm (range, 2.3-17.8 mm). Two patients (10%) experienced delayed wound healing, resolved with antibiotics and early surgical debridement. One patient experienced dislocation 3 months postoperatively, which was promptly addressed under general anesthesia without further dislocation. Through multiplanar osteotomy with limited margins, femoral head autograft, and uncemented total hip replacement for pelvic segmental bone defects in selected patients in type II or II + III appears to be an encouraging limb-sparing surgery worthy of consideration for carefully selected patients.

Onco-Ontogeny of Squamous Cell Cancer of the First Pharyngeal Arch Derivatives.

Head and neck squamous cell carcinoma (H&NSCC) is an anatomic, biological, and genetic complex disease. It involves more than 1000 genes implied in its oncogenesis; for this review, we limit our search and description to the genes implied in the onco-ontogeny of the derivates from the first pharyngeal arch during embryo development. They can be grouped as transcription factors and signaling molecules (that act as growth factors that bind to receptors). Finally, we propose the term embryo-oncogenesis to refer to the activation, reactivation, and use of the genes involved in the embryo's development during the oncogenesis or malignant tumor invasion and metastasis events as part of an onco-ontogenic inverse process.

A novel prognostic model based on telomere-related lncRNAs in gastric cancer.

Telomeres are specialized structures at the ends of chromosomes that are important for their protection. Over time, long non-coding RNAs (lncRNAs) have gradually come into the spotlight as essential biomarkers of proliferation, migration, and invasion of human malignant tumors. Nevertheless, the impact of telomere-related lncRNAs (TRLs) in gastric cancer is currently unknown. In the present study, we screen the TRLs and identify a prognostic TRLs signature in gastric cancer. First, telomere-related genes (TRGs) were retrieved from the website, and RNA sequencing (RNA-seq) data and clinical data of stomach adenocarcinoma (STAD) patients were gathered from The Cancer Genome Atlas (TCGA) database. Gastric cancer patients' lncRNAs and overall survival (OS) were found to be related using univariate Cox regression analysis. Next, least absolute shrinkage and selection operator (LASSO) regression analysis and multifactorial Cox regression analysis were used to further screen telomere-related differentially expressed lncRNAs (TRDELs), and finally six lncRNAs were obtained, including LINC01537, CFAP61-AS1, DIRC1, RABGAP1L-IT1, DBH-AS1, and REPIN1-AS1. According to these six TRDELs, a prognostic model for gastric cancer was constructed. The samples were divided into the training group and the testing group at random, and the reliability of prognostic model was validated in both groups and overall samples. In addition, we performed Kaplan-Meier (K-M) survival curve analysis, independent prognostic analysis, and functional enrichment analysis to validate the predictive value and independence of the model, as well as immune cell correlation analysis, clustering analysis, and principal component analysis (PCA) to further explore the relationship between this model and the tumor cells. Finally, we performed the drug sensitivity analysis to identify a few small molecules that may have a therapeutic effect on gastric cancer. Finally, we constructed a prognostic model for gastric cancer consisting of six TRDELs. According to the K-M curve, the prognosis of the low-risk group was noticeably superior than that of the high-risk group. Multivariate Cox regression analysis suggested that risk score was an independent prognostic element. Receiver operating characteristic (ROC) curves, nomogram, and calibration curve indicated that the prognostic model had good predictive ability. Functional enrichment analysis demonstrated major pathways with high- and low-risk groups. Next, both tumor microenvironment (TME) and immune correlation analysis showed discrepancy in the high- and low-risk groups. Through drug sensitivity analysis, we screened four small molecules that might be beneficial for gastric cancer treatment. A prognostic model consisting of these six TRDELs was capable to predict the prognosis of gastric cancer patients.

The construction of a prognostic model by apoptosis-related genes to predict survival, immune landscape, and medication in cholangiocarcinoma

BackgroundCholangiocarcinoma (CCA) is a highly aggressive and invasive malignant tumor of the bile duct, with a poor prognosis and a high mortality rate. Currently, there is a lack of effective targeted treatment methods and reliable biomarkers for prognosis. MethodsWe downloaded RNA-seq and clinical data of CCA from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases as training and test sets. The apoptosis-related genes were obtained from the Molecular Signatures Database (MsigDB) database. We used univariate/multivariate Cox regression and Lasso regression analyses to construct a riskscore prognostic model. Based on the median riskscore, we clustered the patients into high-risk (HR) and low-risk (LR) groups. We carried out Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses of differentially expressed genes (DEGs) in HR and LR groups. The single sample gene set enrichment analysis (ssGSEA) was employed to analyze the immune infiltration of the HR and LR groups. The CellMiner database was utilized to predict drugs and perform molecular docking on drugs and target proteins. ResultsWe identified 8 genes with prognostic significance to construct a prognostic model. Results of GO and KEGG demonstrated that DEGs were mainly enriched in biological functions such as fatty acid metabolic processes and pathways such as the cAMP signaling pathway. Results of ssGSEA uncovered that immune cells such as DCs and Macrophages in the HR group, as well as immune functions such as Check-point and Parainflammation, were considerably higher than those in the LR group. Drug sensitivity prediction and results of molecular docking revealed that Rigosertib targeted the prognostic genes MAP3K1. HYPOTHEMYCIN and AMG900 effectively targeted JUN. ConclusionOur project suggested that the prognostic model with apoptotic features can effectively predict prognosis in CCA patients, proffering prognostic biomarkers and potential therapeutic targets for CCA patients.

Predicting hepatocellular carcinoma: A new non-invasive model based on shear wave elastography.

Integrating conventional ultrasound features with 2D shear wave elastography (2D-SWE) can potentially enhance preoperative hepatocellular carcinoma (HCC) predictions. To develop a 2D-SWE-based predictive model for preoperative identification of HCC. A retrospective analysis of 884 patients who underwent liver resection and pathology evaluation from February 2021 to August 2023 was conducted at the Oriental Hepatobiliary Surgery Hospital. The patients were divided into the modeling group (n = 720) and the control group (n = 164). The study included conventional ultrasound, 2D-SWE, and preoperative laboratory tests. Multiple logistic regression was used to identify independent predictive factors for malignant liver lesions, which were then depicted as nomograms. In the modeling group analysis, maximal elasticity (Emax) of tumors and their peripheries, platelet count, cirrhosis, and blood flow were independent risk indicators for malignancies. These factors yielded an area under the curve of 0.77 (95% confidence interval: 0.73-0.81) with 84% sensitivity and 61% specificity. The model demonstrated good calibration in both the construction and validation cohorts, as shown by the calibration graph and Hosmer-Lemeshow test (P = 0.683 and P = 0.658, respectively). Additionally, the mean elasticity (Emean) of the tumor periphery was identified as a risk factor for microvascular invasion (MVI) in malignant liver tumors (P = 0.003). Patients receiving antiviral treatment differed significantly in platelet count (P = 0.002), Emax of tumors (P = 0.033), Emean of tumors (P = 0.042), Emax at tumor periphery (P < 0.001), and Emean at tumor periphery (P = 0.003). 2D-SWE's hardness value serves as a valuable marker for enhancing the preoperative diagnosis of malignant liver lesions, correlating significantly with MVI and antiviral treatment efficacy.

Research Progress on Pathogenesis and Treatment of NUT Carcinoma

NUT carcinoma (nuclear protein in testis carcinoma) is a rare and highly invasive malignant tumor, which is most common in midline organs and lungs. The characteristic genetic change of NUT carcinoma is the rearrangement of NUT middle carcinoma family member 1 (NUTM1) gene. In this article, we will review the pathogenic mechanism of its most common fusion form, bromodomaincontaining protein 4 (BRD4)-NUTM1 fusion gene, and the progress in the research and development of targeting drugs. .

Unveiling novel cell clusters and biomarkers in glioblastoma and its peritumoral microenvironment at the single-cell perspective

BackgroundGlioblastoma (GBM) is a highly heterogeneous, recurrent and aggressively invasive primary malignant brain tumor. The heterogeneity of GBM results in poor targeted therapy. Therefore, the aim of this study is to depict the cellular landscape of GBM and its peritumor from a single-cell perspective. Discovering new cell subtypes and biomarkers, and providing a theoretical basis for precision therapy.MethodsWe collected 8 tissue samples from 4 GBM patients to perform 10 × single-cell transcriptome sequencing. Quality control and filtering of data by Seurat package for clustering. Inferring copy number variations to identify malignant cells via the infercnv package. Functional enrichment analysis was performed by GSVA and clusterProfiler packages. STRING database and Cytoscape software were used to construct protein interaction networks. Inferring transcription factors by pySCENIC. Building cell differentiation trajectories via the monocle package. To infer intercellular communication networks by CellPhoneDB software.ResultsWe observed that the tumor microenvironment (TME) varies among different locations and different GBM patients. We identified a proliferative cluster of oligodendrocytes with high expression of mitochondrial genes. We also identified two clusters of myeloid cells, one primarily located in the peritumor exhibiting an M1 phenotype with elevated TNFAIP8L3 expression, and another in the tumor and peritumor showing a proliferative tendency towards an M2 phenotype with increased DTL expression. We identified XIST, KCNH7, SYT1 and DIAPH3 as potential factors associated with the proliferation of malignant cells in GBM.ConclusionsThese biomarkers and cell clusters we discovered may serve as targets for treatment. Targeted drugs developed against these biomarkers and cell clusters may enhance treatment efficacy, optimize immune therapy strategies, and improve the response rates of GBM patients to immunotherapy. Our findings provide a theoretical basis for the development of individualized treatment and precision medicine for GBM, which may be used to improve the survival of GBM patients.

Expression levels of microRNA-7110 in oral squamous cell carcinoma.

Oral squamous cell carcinoma (OSCC) is a leading cause of cancer-related deaths worldwide, and it is responsible for more than 95% of head and neck cancers. Despite advancements in research and treatment, patient's survival has not significantly increased in recent years. On the other hand, microRNAs (miRNAs) are a major class of small non-coding RNAs that regulate gene expression of the target mRNAs. Thus, understanding the mechanisms behind OSCC formation and progression may lead to the identification of potential diagnostic biomarkers and therapeutic molecules for the treatment of OSCC. The aim of the current study was to analyze expression levels of miR-7110 in OSCC tissues and adjacent normal tissues as it could provide insights into its potential role in OSCC development or progression as a valuable biomarker. A total of 20 OSCC and adjacent normal tissues were collected from the Department of Oral and Maxillofacial Surgery, Saveetha Dental College and Hospitals (Chennai, India). The tissues were processed for hematoxylin and eosin staining and expression studies. The data were shown as mean±standard deviation and P<0.05 was considered statistically significant. Our histopathological observations revealed an invasive malignant epithelial neoplasm with malignant epithelial cells exhibiting features of severe epithelial dysplasia invading the connective tissue stroma as islands, strands and cords with varying degrees of differentiation. Our results have also revealed that the expression levels of miR-7110 were found to be significantly higher in OSCC samples when compared to the normal tissue. We can preliminarily conclude that based on the increased expression of miR-7110 in OSCC tissue samples, they can be used as an early diagnostic or prognostic biomarker and/or a therapeutic target for the treatment of OSCC even though more focused research in that direction is needed.

Biological effect of ETV4 and the underlying mechanism of its regulatory effect on epithelial‑mesenchymal transition in intrahepatic cholangiocarcinoma cells.

Intrahepatic cholangiocarcinoma (ICC) is a highly invasive malignant tumor. The prognosis of patients with ICC after radical surgical resection remains poor, due to local infiltration, distant metastasis, a high recurrence rate and lack of effective treatment strategies. E26 transformation-specific sequence variant 4 (ETV4) is a pro-carcinogenic factor that is upregulated in several tumors; however, the role of ETV4 in ICC is relatively unknown. The present study aimed to determine the role of ETV4 in the Hccc9810 ICC cell line and to assess how it contributes to epithelial-mesenchymal transition (EMT) in ICC. Hccc9810 cells were infected with lentiviruses to construct stable ETV4-overexpressing cells, stable ETV4 knockdown cells and corresponding control groups. The Cell Counting Kit-8 and Transwell assays were used to quantify cell proliferation, invasion and migration, and the effects on cell cycle progression and apoptosis were detected by flow cytometry. ETV4 was identified as a driver of cell growth, invasion, migration and cell cycle progression, while restraining apoptosis in Hccc9810 cells. Reverse transcription-quantitative PCR and western blotting revealed that increased ETV4 levels may drive EMT by triggering the TGF-β1/Smad signaling pathway. This cascade, in turn, may foster tumor cell proliferation, migration, invasion and cell cycle advancement, and hinder apoptosis.

Relevant MicroRNAs of MMPs and TIMPs with Certain Gut Microbiota Could Be Involved in the Invasiveness and Metastasis of Malignant Tumors

Malignant tumors are heterogeneous diseases characterized by uncontrolled cell proliferation, invasion, and/or metastasis. In particular, cancer stem cells within these tumors might be responsible for the invasiveness and the property of recurrence of malignancies. It has been reported that matrix metalloproteases (MMPs) and tissue inhibitors of metalloproteinases (TIMPs) could contribute to the development of tumor invasiveness. Remarkably, specific MMPs can drive the malignant phenotype of tumors counting the acquisition of stem cell feature, in which STATs signaling might play an important role. Furthermore, MMPs might be crucial for extra-cellular matrix remodeling in the pathological condition of cancer stem cells. Some immune responses against cancer stem cells in the connection to MMPs and/or TIMPs have been revealed, which might be an important issue in the treatment of aggressive cancers. MicroRNAs (miRNAs) have emerged as favorable biomarkers owing to their important roles in gene regulation and/or stability. Differential expression patterns of specific miRNA may be associated with different types of tumor. In addition, miRNAs can be detected in various body fluids, proposing easily available specimens for diagnostic purposes in tumor microenvironment. Remarkably, it has been shown that miRNA expression might be also related with the gut microbiota composition. Early detection and accurate monitoring of tumors are critical for effective treatment and/or improved patient outcomes. A better understanding of this mechanism of epigenetics could be of use to bring about innovative tactics for the treatment of malignant tumors.

Radiomics analysis of ultrasound images to discriminate between benign and malignant adnexal masses with solid ultrasound morphology.

Our primary aim was to identify radiomic ultrasound features that can distinguish benign from malignant adnexal masses with solid ultrasound morphology, and primary invasive from metastatic solid ovarian masses, and to develop ultrasound-based machine learning models that include radiomics features to discriminate between benign and malignant solid adnexal masses. Our secondary aim was to compare the diagnostic performance of our radiomics models with that of the ADNEX model and subjective assessment by an experienced ultrasound examiner. This is a retrospective observational single center study. Patients with a histological diagnosis of an adnexal tumor with solid morphology at preoperative ultrasound examination performed between 2014 and 2021 were included. The patient cohort was split into training and validation sets with a ratio of 70:30 and with the same proportion of benign and malignant (borderline, primary invasive and metastatic) tumors in the two subsets. The extracted radiomic features belonged to two different families: intensity-based statistical features and textural features. Models to predict malignancy were built based on a random forest classifier, fine-tuned using 5-fold cross-validation over the training set, and tested on the held-out validation set. The variables used in model building were patient's age, and those radiomic features that were statistically significantly different between benign and malignant adnexal masses (Wilcoxon-Mann-Whitney Test with Benjamini-Hochberg correction for multiple comparisons) and assessed as not redundant based on the Pearson correlation coefficient. We describe discriminative ability as area under the receiver operating characteristics curve (AUC) and classification performance as sensitivity and specificity. 326 patients were identified and 775 preoperative ultrasound images were analyzed. 68 radiomic features were extracted, 52 differed statistically significantly between benign and malignant tumors in the training set, and 18 features were selected for inclusion in model building. The same 52 radiomic features differed statistically significantly between benign, primary invasive malignant and metastatic tumors. However, the values of the features manifested overlap between primary malignant and metastatic tumors and did not differ statistically significantly between them. In the validation set, 25/98 tumors (25.5%) were benign, 73/98 (74.5%) were malignant (6 borderline, 57 primary invasive, 10 metastases). In the validation set, a model including only radiomics features had an AUC of 0.80, and 78% sensitivity and 76% specificity at its optimal risk of malignancy cutoff (68% based on Youden's index). The corresponding results for a model including age and radiomics features were 0.79, 86% and 56% (cutoff 60% based on Youden's method), while those of the ADNEX model were 0.88, 99% and 64% (at 20% malignancy cutoff). Subjective assessment had sensitivity 99% and specificity 72%. Even though our radiomics models had discriminative ability inferior to that of the ADNEX model, our results are promising enough to justify continued development of radiomics analysis of ultrasound images of adnexal masses. This article is protected by copyright. All rights reserved.

Construction of an immune-related prognostic model and potential drugs screening for esophageal cancer based on bioinformatics analyses and network pharmacology.

Esophageal cancer (ESCA) is a highly invasive malignant tumor with poor prognosis. This study aimed to discover a generalized and high-sensitivity immune prognostic signature that could stratify ESCA patients and predict their overall survival, and to discover potential therapeutic drugs by the connectivity map. The key gene modules significantly related to clinical traits (survival time and state) of ESCA patients were selected by weighted gene coexpression network analysis (WCGNA), then the univariate and least absolute shrinkage and selection operator (LASSO) Cox regression analyses were used to construct a 15-immune-related geneprognostic signature. The immune-related risk model was related to clinical and pathologic factors and remained an effective independent prognostic factor. Enrichment analyses revealed that the differentially expressed genes (DEGs) of the high- and low-risk groups were associated with tumor cell proliferation and immune mechanisms. Based on the gathered data, a small molecule drug named perphenazine (PPZ) was elected. The pharmacological analysis indicates that PPZ could help in adjuvant therapy of ESCA through regulation of metabolic process and cellular proliferation, enhancement of immunologic functions, and inhibition of inflammatory reactions. Furthermore, molecular docking was performed to explore and verify the PPZ-core target interactions. We succeed in structuring the immune-related prognostic model, which could be used to distinguish and predict patients' survival outcome, and screening a small molecule drug named PPZ. Prospective studies also are needed to further validate its analytical accuracy for estimating prognoses and confirm the potential use of PPZ for treating ESCA.

Identification and analysis of prognostic immune cell homeostasis characteristics in lung adenocarcinoma.

Lung adenocarcinoma (LUAD) is one of the most invasive malignant tumor of the respiratory system. It is also the common pathological type leading to the death of LUAD. Maintaining the homeostasis of immune cells is an important way for anti-tumor immunotherapy. However, the biological significance of maintaining immune homeostasis and immune therapeutic effect has not been well studied. We constructed a diagnostic and prognostic model for LUAD based on B and T cells homeostasis-related genes. Minimum absolute contraction and selection operator (LASSO) analysis and multivariate Cox regression are used to identify the prognostic gene signatures. Based on the overall survival time and survival status of LUAD patients, a 10-gene prognostic model composed of ABL1, BAK1, IKBKB, PPP2R3C, CCNB2, CORO1A, FADD, P2RX7, TNFSF14, and ZC3H8 was subsequently identified as prognostic markers from The Cancer Genome Atlas (TCGA)-LUAD to develop a prognostic signature. This study constructed a gene prognosis model based on gene expression profiles and corresponding survival information through survival analysis, as well as 1-year, 3-year, and 5-year ROC curve analysis. Enrichment analysis attempted to reveal the potential mechanism of action and molecular pathway of prognostic genes. The CIBERSORT algorithm calculated the infiltration degree of 22 immune cells in each sample and compared the difference of immune cell infiltration between high-risk group and low-risk group. At the cellular level, PCR and CKK8 experiments were used to verify the differences in the expression of the constructed 10-gene model and its effects on cell viability, respectively. The experimental results supported the significant biological significance and potential application value of the molecular model in the prognosis of lung cancer. Enrichment analyses showed that these genes were mainly related to lymphocyte homeostasis. We identified a novel immune cell homeostasis prognostic signature. Targeting these immune cell homeostasis prognostic genes may be an alternative for LUAD treatment. The reliability of the prediction model was confirmed at bioinformatics level, cellular level, and gene level.

Survival nomogram and risk classification system for patients with adrenocortical carcinoma: a study based on the SEER database and external validation in China.

Adrenocortical carcinoma (ACC) is an extremely rare and highly invasive malignant tumor. However, there is currently no reliable method to predict the prognosis of ACC. Our objective is to construct a nomogram and a risk classification system to predict the 1-year, 3-year, and 5-year overall survival (OS) of ACC. We retrieved clinicopathological data of patients diagnosed with ACC in The Surveillance, Epidemiology, and End Results (SEER) database and divided them into training and validation cohorts with a 7:3 ratio. Simultaneously, we collected an external validation cohort from The First Affiliated Hospital of Naval Medical University (Shanghai, China). Univariate and multivariate Cox analyses were performed to identify relevant risk factors, which were then combined to develop a correlation nomogram. The predictive performance of the nomogram was evaluated using the concordance index (C-index), receiver-operating characteristic curve (ROC), and calibration curves. Decision curve analysis (DCA) was applied to assess the clinical utility of the nomogram. In addition, Kaplan-Meier survival curves were generated to demonstrate the variation in OS between groups. The final nomogram consisted of five factors: age, T, N, M, and history of chemotherapy. Our prognostic model demonstrated significant discriminative ability, with C-index and the area under the receiver operating characteristic (AUC) values exceeding 0.70. Additionally, DCA validated the clinical utility of the nomogram. In the entire cohort, the median OS for patients in the low- and high-risk groups was 70 and 10 months, respectively. A nomogram and a corresponding risk classification system were developed in order to predict the OS of patients diagnosed with ACC. These tools have the potential to provide valuable support for patient counseling and assist in the decision-making process related to treatment options.

Spherical Nucleic Acid-Mediated Spatial Matching-Guided Nonenzymatic DNA Circuits for the Prediction and Prevention of Malignant Tumor Invasion.

Detection of intracellular miRNAs, especially sensitive imaging of in vivo miRNAs, is vital to the precise prediction and timely prevention of tumorgenesis but remains a technical challenge in terms of nuclease resistance and signal amplification. Here, we demonstrate a gold nanoparticle-based spherical nucleic acid-mediated spatial matching-guided nonenzymatic DNA circuit (SSDC) for efficient screening of intracellular miRNAs and, in turn, finding cancerous tissues in living organisms before the appearance of clinical symptoms. Due to the substantially enhanced nuclease resistance, the false positive signal is avoided even in a complex biological medium. Target miRNA can straighten out the hairpin DNA probe to be linear, allowing the probe to penetrate into the internal region of a core/shell DNA-functionalized signal nanoampfilier and initiate a strand displacement reaction, generating an amplified fluorescence signal. The detection limit is as low as 17 pM, and miRNA imaging is in good accordance with the gold standard polymerase chain reaction method. The ability to image intracellular miRNAs is substantially superior to that of conventional fluorescence in situ hybridization techniques, making in vivo SSDC-based imaging competent for the precise prediction of tumorigenesis. By intratumoral chemotherapy guided by SSDC-based imaging, tumorigenesis and progression are efficiently controlled before the onset of clinical symptoms.

Abstract 3169: The role and mechanism of m6A methylation modification of LncRNA-ATB in regulating the invasion and metastasis of colorectal cancer

Abstract Background: The epigenetic modification of LncRNA N6-methyladenosine (m6A) methylation plays a wide role in the invasion and metastasis of various malignant tumors. However, the role of LncRNA-ATB m6A methylation modification in colorectal cancer (CRC) has not been systematically elucidated. Methods: Detect the regulatory effect of ALKBH5 on LncRNA-ATB by Luciferin reporter gene. LncRNA-ATB expression was detected by IHC and qPCR in CRC tissues and cells. Transwell and scratch tests were used to detect the effect of ALKBH5 overexpression after LncRNA-ATB knockdown and replacement on the invasion and migration ability of CRC cells. Western blotting was used to detect the expression changes of MMPs proteins. Results: ALKBH5 could regulate the methylation level of the LncRNA-ATB 3’ UTR region (p&amp;lt;0.05). ALKBH5 overexpression in CRC cells led to a significant decrease in the expression level of LncRNA-ATB (p&amp;lt;0.05). LncRNA-ATB exhibited elevated expression in CRC cells and demonstrated significantly higher levels in CRC tissues compared to paracancerous tissues (p&amp;lt;0.05), indicating the potential tumor-promoting effect of LncRNA-ATB in CRC, with the mechanism possibly regulated by ALKBH5-mediated m6A demethylation. ALKBH5 overexpression inhibited the proliferation and migration of CRC cells after LncRNA-ATB knockdown. However, this inhibitory effect was attenuated upon LncRNA-ATB rescue, accompanied by an increase in MMP9 and a decrease in TIMP1. Conclusion: LncRNA-ATB plays a crucial role in ALKBH5-mediated m6A demethylation, regulating the invasion and metastasis of CRC. The ALKBH5-LncRNA-ATB m6A demethylation-MMPs signaling axis has been identified as a key regulatory pathway promoting CRC migration. m6A modification of lncRNA-ATB modulated by ALKBH5 provides a theoretical basis for novel therapeutic strategies for patients with metastatic CRC. FUNDING: This study was supported by the National Natural Science Foundation of China (Grant No. 81702414), Natural Science Foundation of Fujian Province of China (Grant No. 2020J05306) and Xiamen Science and Technology Planning Project (Grant No. 3502Z20194003). Citation Format: Yu Lang#, Jia-Lin Lin#, Jia-Peng Kang, Lu Yang, Dan Zhou, Can-Bin Fang*, Feng Ye*, Wei-wei Tang*. The role and mechanism of m6A methylation modification of LncRNA-ATB in regulating the invasion and metastasis of colorectal cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 3169.