Prognostic analysis of the plasma fibrinogen combined with neutrophil-to-lymphocyte ratio in patients with non-small cell lung cancer after radical resection.

BACKGROUND: To investigate the correlation between the fibrinogen combined with neutrophil-to-lymphocyte ratio (F-NLR) and the clinicopathologic features of non-small cell lung cancer (NSCLC) patients who underwent radical resection. METHODS: This study reviewed the medical records of 289 patients with NSCLC who underwent radical resection. The patients were stratified into three groups based on F-NLR as follows: patients with low NLR and fibrinogen were group A, patients with high NLR or fibrinogen were group B, and patients with high NLR and fibrinogen were group C. Receiver operating characteristic curve and Youden index were used to determine the cutoff value of the NLR and fibrinogen. Survival curves were described by Kaplan-Meier method and compared by log-rank test. The univariate and multivariate analyses were performed with the Cox proportional hazard model to identify the prognostic factors. RESULTS: A value of 3.19 was taken as the optimal cutoff value of NLR in this study. A value of 309 was used as the optimal cutoff value of fibrinogen. Cox multivariate analysis showed that tumor, nodes, metastasis (TNM) stage and F-NLR were independent prognostic factors affecting the survival rate of patients. The first-, third-, and fifth-year survival rates in group A were 99.2%, 96.6%, and 95.0%, respectively. The first-, third-, and fifth-year survival rates in group B were 98.4%, 76.6%, and 63.2%, respectively. The first-, third-, and fifth-year survival rates in group C were 91.3%, 41.1%, and 22.8%, respectively. F-NLR was significantly correlated with overall survival in patients with NSCLC (p < 0.001). CONCLUSIONS: The F-NLR level is markedly related to the prognosis of patients with NSCLC undergoing radical surgery. Therefore, closer attention should be given to patients with NSCLC with a high F-NLR before surgery to provide postoperative adjuvant therapy.

Dipetidyl peptidase-4 and transferrin receptor serve as prognostic biomarkers for acute myeloid leukemia.

BACKGROUND: Acute myeloid leukemia (AML) is the most common hematological malignancy in adult patients. Ferroptosis-related signatures have been shown to act as regulators of the progression of multiple cancer types, but the role of ferroptosis in AML remains to be elucidated. We performed the present study to preliminarily investigate the roles of ferroptosis-related genes (FRGs) in AML. METHODS: The transcriptome data of AML patients was downloaded from The Cancer Genome Atlas (TCGA) and the transcriptome data of normal samples was obtained from the Genotype-Tissue Expression (GTEx) database. FRGs were selected via public articles. Expression levels of FRGs between AML and normal samples were analyzed. The prognostic model based on FRGs was constructed via lasso regression. The expression levels and prognostic role of FRGs were identified from the risk model. We also performed validation experiments to verify the expression levels of the final selected genes via immunohistochemistry, polymerase chain reaction (PCR), and RNA-seq. Finally, we explored the associations between immune infiltration, drug sensitivity, and the selected FRGs. RESULTS: The transcriptome data of 151 AML samples were retrieved from TCGA and 70 bone marrow normal samples were retrieved from the GTEx database. Additionally, 23 FRGs were collected from the published articles. There were 22 differentially expressed FRGs, and among them, dipetidyl peptidase-4 (DPP4) (P= 0.011, HR =1.504), GPX4 (P=0.055, HR =1.569), LPCAT3 (P<0.001, HR =2.243), SLC7A11 (P=0.012, HR =2.243), and transferrin receptor (TFRC) (P=0.029, 0.774) had a significant influence on the prognosis of AML patients via lasso regression. The area under the curve (AUC) values of the 1-, 3-, and 5-year receiver operating characteristic (ROC) curves of the FRG signatures indicated that this model is novel and effective method for predicting the prognosis of AML patients. DPP4 (P<0.001) was overexpressed while LPCAT3 (P<0.001), TFRC (P<0.001), GPX4 (P<0.001), and SLC7A11 (P<0.001) were downregulated, further validation experiment results indicated that DPP4 was significantly downregulated but TFRC was upregulated in AML samples. Dysregulation of DPP4 and TFRC influence numbers of chemotherapy regimens sensitivity. CONCLUSIONS: DPP4 and TFRC act as biomarkers for predicting and diagnosing AML, and their expression levels also have significant correlations with drug resistance in AML.

Key immune-related gene ITGB2 as a prognostic signature for acute myeloid leukemia.

BACKGROUND: The tumor microenvironment (TME) has an essential role in tumorigenesis, progression, and therapeutic response in many cancers. Currently, the role of TME in acute myeloid leukemia (AML) is unclear. This study investigated the correlation between immune-related genes and prognosis in AML patients. METHODS: Transcriptome RNA-Seq data for 151 AML samples were downloaded from TCGA database (https://portal.gdc.cancer.gov/), and the immune related genes (irgs) were selected from Immport database. Bioinformatics screening was used to identify irgs for AML, and genes with a critical role in the prognosis of AML were selected for further analysis. To confirm the prognostic role of irgs in AML, we undertook protein-protein interaction (PPI) network analysis of the top 30 interacting genes. We then investigated associations between immune cell infiltration and prognosis in AML patients. Immunohistochemistry was used to validate protein expression levels between AML and normal bone marrow samples. Analysis of the drug sensitivity of the selected gene was then performed. RESULTS: The integrin lymphocyte function-associated antigen 1 (CD11A/CD18; ITGAL/ITGB2) was identified as the key immune-related gene that significantly influenced prognosis in AML patients. Overexpression of ITGB2 indicated poor prognosis in AML patients (P=0.007). Risk modeling indicated that a high-risk score led to poor outcomes (P=3.076e-08) in AML patients. The risk model showed accuracy for predicting prognosis in AML patients, with area under curve (AUC) at 1 year, 0.816; AUC at 3 years, 0.82; and AUC at 5 years, 0.875. In addition, we found that ITGB2 had a powerful influence on immune cell infiltration into AML TME. The results of immunohistochemistry showed that AML patients had significantly higher ITGB2 protein expression than normal samples. The AML patients were divided into 2 groups based on ITGB2 risk scores. Drug sensitivity test results indicated that the high-risk group was sensitive to cytarabine, axitinib, bosutinib, and docetaxel, but resistant to cisplatin and bortezomib. CONCLUSIONS: In the present study, we found that ITGB2 may be able to serve as a biomarker for assessing prognosis and drug sensitivity in AML patients.

Synthesis and structure-activity relationship of N-(piperidin-4-yl)benzamide derivatives as activators of hypoxia-inducible factor 1 pathways.

Guided by bioisosterism and pharmacokinetic parameters, we designed and synthesized a series of novel benzamide derivatives. Preliminary in vitro studies indicated that compounds 10b and 10j show significant inhibitory bioactivity in HepG2 cells (IC50 values of 0.12 and 0.13 µM, respectively). Compounds 10b and 10j induced the expression of HIF-1α protein and downstream target gene p21, and upregulated the expression of cleaved caspase-3 to promote tumor cells apoptosis.

Structure-based design, structure-activity relationship analysis, and antitumor activity of diaryl ether derivatives.

To identify novel therapeutic agents to treat cancer, we synthesized a series of diaryl ether derivatives. Structure-activity relationship studies revealed that the presence of a chlorine or hydroxyl at the para-position on the phenyl ring (5h or 5k) significantly enhanced antitumor activity. Compound 5h had stronger growth inhibitory activity in HepG2, A549, and HT-29 cells than compound 5k, with IC50 values of 2.57, 5.48, and 30.04 µM, respectively. Compound 5h also inhibited the growth of other cells lines, including Hep3B, PLC/PRF5, SMMC-7721, HeLa, and A375, with IC50 values of 2.76, 4.26, 29.66, 18.86, and 10.21 µM, respectively. The antitumor activity of compound 5h was confirmed by a colony forming assay. Further, our results indicated that the antitumor activity of compound 5h may be mediated by enhancing expression of p21 and cl-caspase3, and leading to apoptosis of cancer cells.

Evaluation of Novel N-(piperidine-4-yl)benzamide Derivatives as Potential Cell Cycle Inhibitors in HepG2 Cells.

In this study, a series of novel N-(piperidine-4-yl)benzamide derivatives was designed, synthesized, and evaluated for antitumor activity. Some compounds were found to have potent antitumor activity. In particular, compound 47 showed the most potent biological activity against HepG2 cells, with an IC50 value of 0.25 µm. Western blot analysis demonstrated that compound 47 inhibited the expression of cyclin B1 and p-Rb and enhanced the expression of p21, p53, Rb, and phospho-adenosine monophosphate-activated protein kinase (p-AMPK). Further, cell cycle arrest was observed by flow cytometry (FCM). In summary, compound 47 was screened to have potential activity for the treatment of hepatocarcinoma via the induction of cell cycle arrest by a p53/p21-dependent pathway.