Current Medicinal Chemistry - Online First

To build an innovative telomere-associated scoring model to predict prognosis and treatment responsiveness in acute myeloid leukemia (AML).

AML is a highly heterogeneous malignant hematologic disorder with a poor prognosis. While telomere maintenance is frequently observed in tumors, investigations into telomere-related genes (TRGs) in AML remain limited.

This study aimed to identify prognostic TRGs using the least absolute shrinkage and selection operator (LASSO) Cox regression and multivariate Cox regression, evaluate their predictive value, explore the association between TRG scores and immune cell infiltration, and assess the sensitivity of high-scoring AML patients to chemotherapeutic agents.

Univariate Cox regression analysis was conducted on the TCGA cohort to identify prognostic TRGs and to develop the TRG scoring model using LASSO-Cox and multivariate Cox regression. Validation was performed on the GSE37642 cohort. Immune cell infiltration patterns were assessed through computational analysis, and the sensitivity to chemotherapeutic agents was evaluated.

Thirteen prognostic TRGs were identified, and a seven-TRG scoring model (including NOP10, OBFC1, PINX1, RPA2, SMG5, MAPKAPK5, and SMN1) was developed. Higher TRG scores were associated with a poorer prognosis, as confirmed in the GSE37642 cohort, and remained an independent prognostic factor even after adjusting for other clinical characteristics. The high-score group was characterized by elevated infiltration of B cells, T helper cells, natural killer cells, tumor-infiltrating lymphocytes, regulatory T (Treg) cells, M2 macrophages, neutrophils, and monocytes, along with reduced infiltration of gamma delta T cells, CD4- T cells, and resting mast cells. Moreover, high infiltration of M2 macrophages and Tregs was associated with poor overall survival compared to low infiltration. Notably, high-risk AML patients were resistant to Erlotinib, Parthenolide, and Nutlin-3a, but sensitive to AC220, Midostaurin, and Tipifarnib. Additionally, using RT-qPCR, we observed significantly higher expression of two model genes, OBFC1 and SMN1, in AML tissues compared to control tissues.

This innovative TRG scoring model demonstrates considerable predictive value for AML patient prognosis, offering valuable insights for optimizing treatment strategies and personalized medicine approaches. The identified TRGs and associated scoring models could aid in risk stratification and guide tailored therapeutic interventions in AML patients.

The role of LNX1 antisense RNA 2 (LNX1-AS2) in lung adenocarcinoma (LUAD) remains unclear.

This study aimed to investigate the association between LNX1-AS2 and LUAD by employing bioinformatics analysis and experimental validation.

Statistical analysis and database interrogation were utilized to assess correlations among LNX1-AS2 expression, clinical characteristics of LUAD patients, prognostic factors, regulatory networks, and immune infiltration. LNX1-AS2 expression in LUAD cell lines was quantified using quantitative real-time polymerase chain reaction (qRT-PCR).

The study found significantly elevated levels of LNX1-AS2 expression in patients with LUAD. Furthermore, elevated LNX1-AS2 expression in LUAD patients did not significantly correlate with gender (p = 0.041) or race (p = 0.049). Importantly, high LNX1-AS2 expression levels were associated with poorer overall survival (OS, p = 0.042) and disease-specific survival (DSS, p = 0.040) in LUAD patients. Additionally, high LNX1-AS2 expression (p = 0.015) was independently correlated with OS in LUAD patients. The phenotype characterized by high LNX1-AS2 expression was also found to be enriched for asthma, allograft rejection, drug metabolism cytochrome P450, metabolism of xenobiotics by cytochrome P450, olfactory transduction, renin-angiotensin system, retinol metabolism, pentose and glucuronate interconversions, and porphyrin and chlorophyll metabolism. A significant correlation was identified between the expression levels of LNX1-AS2 and immune infiltration in the context of LUAD. Elevated expression of LNX1-AS2 was notably detected in LUAD cell lines as opposed to Beas-2B.

A noteworthy relationship was established among increased LNX1-AS2 expression in LUAD patients, unfavorable prognosis, and heightened immune infiltration. These findings suggest that the LNX1-AS2 gene could serve as a valuable prognostic indicator for LUAD and a potential predictor of response to immunotherapy.

Triple-Negative Breast Cancer (TNBC) is the most common type of breast cancer (BC). In order to develop effective treatments for TNBC, it is vital to identify potential therapeutic targets. Angiogenesis stimulates tumor growth and metastasis in TNBC, and miR-155 plays a crucial role in this process. The exosome is a nano-sized vesicle that carries many cargoes, including miRNAs. The present study investigated the effect of exosomal delivery of miR-155 antagomir on tumor migration, invasion, and angiogenesis in TNBC.

From MDA-MB-231 cells, exosomes were extracted, characterized, and loaded with miR-155 antagomir using electroporation. The expression of miR-155 and its target genes, including PTEN and DUSP14, was analyzed using RT-qPCR. The wound-healing and transwell assays were used to measure cell migration and invasion. Furthermore, angiogenesis was evaluated by tube formation and chorioallantoic membrane (CAM) assays.

The results indicated that exosomal delivery of miR-155 antagomir to HUVEC cells significantly suppressed miR-155 expression while upregulating PTEN and DUSP14. The tube formation properties of HUVEC cells were also significantly reduced following treatment with exosomes containing miR-155 antagomirs, and these results were confirmed using CAM assay. The migration and invasion of MDA-MB-231 cells were significantly reduced after treatment with miR-155 antagomir-loaded exosomes.

It was found that miR-155 antagomir delivery using exosomes can inhibit migration, invasion, and angiogenesis viaPTEN and DUSP14 in TNBC.

We aimed to develop a macrophage signature for predicting clinical outcomes and immunotherapy benefits in cholangiocarcinoma.

Macrophages are potent immune effector cells that can change phenotype in different environments to exert anti-tumor and anti-tumor functions. The role of macrophages in the prognosis and therapy benefits of cholangiocarcinoma was not fully clarified.

The objective of this study is to develop a prognostic model for cholangiocarcinoma.

The macrophage-related signature (MRS) was developed using 10 machine learning methods with TCGA, GSE89748 and GSE107943 datasets. Several indicators (TIDE score, TMB score and MATH score) and two immunotherapy datasets (IMvigor210 and GSE91061) were used to investigate the performance of MRS in predicting the benefits of immunotherapy.

The Lasso + CoxBoost method's MRS was considered a robust and stable model that demonstrated good accuracy in predicting the clinical outcome of patients with cholangiocarcinoma; the AUC of the 2-, 3-, and 4-year ROC curves in the TCGA dataset were 0.965, 0.957, and 1.000. Moreover, MRS acted as an independent risk factor for the clinical outcome of cholangiocarcinoma cases. Cholangiocarcinoma cases with higher MRS scores are correlated with a higher TIDE score, higher tumor escape score, higher MATH score, and lower TMB score. Further analysis suggested high MRS score indicated a higher gene set score correlated with cancer-related hallmarks.

With regard to cholangiocarcinoma, the current study created a machine learning-based MRS that served as an indication for forecasting the prognosis and therapeutic advantages of individual cases.

Parkinson's disease (PD) is a neurodegenerative disorder associated with a progressive loss of dopaminergic cells and as of now, there is no established definitive treatment available for this condition.

In this study, the focus was on investigating the impact of SVAK-12, a small molecule that can cross the blood-brain barrier and remain stable without structural changes. The effect of SVAK-12 was investigated in vitro on neurotoxicity, in vivo model of Parkinson's Diseases and in silico.

Through in vitro and in vivo experiments, as well as molecular docking simulations, it was found that SVAK-12 (375 ng.ml) led to increased cell viability, reduced cellular damage, and decreased production of NO and ROS. Additionally, it boosted levels of important neurotrophic factors like BDNF (130.49%) and GDNF (116.38%), potentially aiding in alleviating motor disability and depression. The study also highlighted SVAK-12's potential as a therapeutic candidate for neurological disorders due to its ability to increase tyrosine hydroxylase expression and dopamine levels (4.84 times). While it did not significantly improve motor symptoms in vivo, it did enhance motor asymmetry in the forelimbs and gene expression related to brain regions. Besides, it induced significant BMP-2 gene expression in substantial nigra regions without significant changes in GDNF and Nurr1 gene expression in the striatum expression. The docking of SVAK-12, Levodopa, Amantadine, Biperiden, Selegiline, and Rasagiline to the binding site of GFRα1, sortilin, and TrkB showed that SVAK-12 had greater MolDock score than Selegiline and Amantadine for GFRα1 and greater than amantadine for Sortilin and TrKB.

Overall, the study suggests that SVAK-12's neuro-biocompatibility, ability to reduce free radicals, and enhanced neurotrophic factors make it a promising candidate as a neuroprotective drug.

Alzheimer's disease (AD) is the most common neurodegenerative disease in older people, characterized by the accumulation of beta-amyloid (Aβ) plaques and neurofibrillary tangles composed of aggregated of hyperphosphorylated tau protein, which normally helps stabilize microtubules in neurons.

Nowadays, artemisinin (ART) as well as its semisynthetic derivatives (ARTs) are seen as potential neuroprotectors. The goal of the present study is the assessment of neuroprotective, antibacterial activity of ART, as well as in silico studies of ART affinity to Aβ-peptides and the search of potential targets for ART. The study is referring to explores the impact of ART on an animal model of AD that is induced by the aggregated amyloidogenic peptide Aβ1-42 by electrophysiology and morphology analysis. Specifically, the focus is on the activation of the entorhinal cortex (ENT) as synaptic potentiation.

Electrophysiological and histochemical have demonstrated that therapeutic injection of ART or its derivatives acts as a neuroprotective This treatment appears to prevent or slow down damage to brain tissue, and it promotes the restoration of neurons and their surrounding environment. The protective effects of ART may involve various mechanisms, including antioxidant activity, anti-inflammatory effects, and the inhibition of apoptosis.

in silico studies revealed a direct, strong interaction of ART with the amyloidogenic peptides 5Aβ17-42, 12Aβ9-40, and 18Aβ9-40. in silico screening revealed several protein targets for ART, including cytochrome P-450 2B6 (CYP2B6). The highest binding affinity was found on the active site of CYP2B6. ART has great potential for discovering new drugs using combined therapies.