Discovery of novel thymidylate synthase (TS) inhibitors that influence cancer angiogenesis and metabolic reprogramming in NSCLC cells.

Based on previous work, further search for more effective and less damaging thymidylate synthase (TS) inhibitors was the focus of this study. After further optimization of the structure, in this study, a series of (E)-N-(2-benzyl hydrazine-1-carbonyl) phenyl-2,4-deoxy-1,2,3,4-tetrahydro pyrimidine-5-sulfonamide derivatives were synthesized and reported for the first time. All target compounds were screened by enzyme activity assay and cell viability inhibition assay. On the one hand, the hit compound DG1 could bind directly to TS proteins intracellularly and promote apoptosis in A549 and H1975 cells. Simultaneously, DG1 could inhibit cancer tissue proliferation more effectively than Pemetrexed (PTX) in the A549 xenograft mouse model. On the other hand, the inhibitory effect of DG1 on NSCLC angiogenesis was verified both in vivo and in vitro. In parallel, DG1 was further uncovered to inhibit the expression of CD26, ET-1, FGF-1, and EGF by angiogenic factor antibody microarray. Moreover, RNA-seq and PCR-array assays revealed that DG1 could inhibit NSCLC proliferation by affecting metabolic reprogramming. Collectively, these data demonstrated that DG1as a TS inhibitor could be promising in treating NSCLC angiogenesis, deserving further investigation.

An integrative investigation on significant mutations and their down-stream pathways in lung squamous cell carcinoma reveals CUL3/KEAP1/NRF2 relevant subtypes.

BACKGROUND: Molecular mechanism of lung squamous cell carcinoma (LUSC) remains poorly understood, hampering effective targeted therapies or precision diagnosis about LUSC. We devised an integrative framework to investigate on the molecular patterns of LUSC by systematically mining the genomic, transcriptional and clinical information. METHODS: We utilized the genomics and transcriptomics data for the LUSC cohorts in The Cancer Genome Atlas.. Both kinds of omics data for 33 types of cancers were downloaded from The NCI's Genomic Data Commons (GDC) (https://gdc.cancer.gov/about-data/publications/pancanatlas). The genomics data were processed in mutation annotation format (maf), and the transcriptomics data were determined by RNA-seq method. Mutation significance was estimated by MutSigCV. Prognosis analysis was based on the cox proportional hazards regression (Coxph) model. RESULTS: Significant somatic mutated genes (SMGs) like NFE2L2, RASA1 and COL11A1 and their potential down-stream pathways were recognized. Furthermore, two LUSC-specific and prognosis-meaningful subtypes were identified. Interestingly, the good prognosis subtype was enriched with mutations in CUL3/KEAP1/NRF2 pathway and with markedly suppressed expressions of multiple down-stream pathways like epithelial mesenchymal transition. The subtypes were verified by the other two cohorts. Additionally, primarily regulated down-stream elements of different SMGs were also estimated. NFE2L2, KEAP1 and RASA1 mutations showed remarkable effects on the subtype-determinant gene expressions, especially for the inflammatory relevant genes. CONCLUSIONS: This study supplies valuable references on potential down-stream processes of SMGs and an alternative way to classify LUSC.