30 research outputs found

    Molecular targets modulated by fangchinoline in tumor cells and preclinical models

    Get PDF
    © 2018 MDPI AG. All rights reserved. Despite tremendous progress made during the last few decades in the treatment options for cancer, compounds isolated from Mother Nature remain the mainstay for therapy of various malignancies. Fangchinoline, initially isolated from the dried root of Stephaniae tetrandrine, has been found to exhibit diverse pharmacological effects including significant anticancer activities both in tumor cell lines and selected preclinical models. This alkaloid appears to act by modulating the activation of various important oncogenic molecules involved in tumorigenesis leading to a significant decrease in aberrant proliferation, survival and metastasis of tumor cells. This mini-review briefly describes the potential effects of fangchinoline on important hallmarks of cancer and highlights the molecular targets modulated by this alkaloid in various tumor cell lines and preclinical models

    Taxane-induced Peripheral Neurotoxicity

    Get PDF
    Taxane-derived agents are chemotherapy drugs widely employed in cancer treatment. Among them, paclitaxel and docetaxel are most commonly administered, but newer formulations are being investigated. Taxane antineoplastic activity is mainly based on the ability of the drugs to promote microtubule assembly, leading to mitotic arrest and apoptosis in cancer cells. Peripheral neurotoxicity is the major non-hematological adverse effect of taxane, often manifested as painful neuropathy experienced during treatment, and it is sometimes irreversible. Unfortunately, taxane-induced neurotoxicity is an uncertainty prior to the initiation of treatment. The present review aims to dissect current knowledge on real incidence, underlying pathophysiology, clinical features and predisposing factors related with the development of taxane-induced neuropathy

    Zespół płucno-nerkowy

    Get PDF

    Cell-free methylated DNA immunoprecipitation and high throughput sequencing technology: diagnostic value in patients with renal cell carcinoma.

    Get PDF
    Background CfmeDNA is a promising biomarker for non-invasive assessment of solid tumors: i) MeDNA is tissue- and tumor-specific ii) cfDNA methylation changes are stable unlike DNA alterations iii) \u2018methylation target size\u2019 is larger than identifying specific genomic alterations and, therefore, more sensitive. CfMeDIP-seq is a sensitive assay for genome-wide bisulfite-free cfMeDNA profiling, that requires 1-10 ng input DNA. We tested the feasibility of cfMeDIP-seq to detect ccRCC across TNM stages Methods We evaluated plasma cfDNA collected prior to nephrectomy in 46 pts with ccRCC: 25 stage I, 7 stage II, 6 stage III, 8 stage IV. cfMeDIP-seq involves four steps: 1) cfDNA end-repair, A-tailing, and adapter ligation, 2) cfMeDNA immunoprecipitation and enrichment using an Ab targeting 5-methylcytosine (quality control by qPCR to ensure 99% reaction specificity), 3) adapter-mediated PCR to amplify cfMeDNA, and 4) high-throughput NGS for cfMeDNA data. A previously-derived model (Shen et al, Nature, 2018) was used to classify pts as having ccRCC or not based on cfMeDNA. cfMeDIP-seq paired end data was reduced to 300 bp windows of the genome that map to CpG islands, shores, shelves, and FANTOM5 enhancers; a classifier was then built using the top 1,000 most variable fragments between pts with ccRCC and cancer-free controls. Statistical comparisons were performed in the R statistical environment, with the caret package being used for classifier construction and evaluation Results The average amount of cfDNA isolated from 1 ml of ccRCC plasma was 19.8\ub139.8 ng/\u3bcL [1.95-260]. Greater than 99% specificity of reaction and <1% of unMeDNA was achieved in 46/46 samples (100%). The previously-derived classifier of ccRCC correctly predicted 46/46 pts (100%) as having ccRCC. Across 3 rounds of 5-fold cross-validation, the classifier performed with a Cohen\u2019s Kappa of 0.93 Conclusion CfMeDIP-seq is a non-invasive, cost-effective, and sensitive assay to detect cancer-specific cfmeDNA in ccRCC pts prior to nephrectomy. With further validation, cfmeDNA may detect minimal residual disease after nephrectomy for \u2018precision\u2019 adjuvant therapy

    Molecular Connections between Cancer Cell Metabolism and the Tumor Microenvironment

    Get PDF
    Cancer cells preferentially utilize glycolysis, instead of oxidative phosphorylation, for metabolism even in the presence of oxygen. This phenomenon of aerobic glycolysis, referred to as the “Warburg effect�, commonly exists in a variety of tumors. Recent studies further demonstrate that both genetic factors such as oncogenes and tumor suppressors and microenvironmental factors such as spatial hypoxia and acidosis can regulate the glycolytic metabolism of cancer cells. Reciprocally, altered cancer cell metabolism can modulate the tumor microenvironment which plays important roles in cancer cell somatic evolution, metastasis, and therapeutic response. In this article, we review the progression of current understandings on the molecular interaction between cancer cell metabolism and the tumor microenvironment. In addition, we discuss the implications of these interactions in cancer therapy and chemoprevention

    Hyaluronic Acid Conjugates as Vectors for the Active Targeting of Drugs, Genes and Nanocomposites in Cancer Treatment

    Get PDF
    Hyaluronic acid (HA) is a naturally-occurring glycosaminoglycan and a major component of the extracellular matrix. Low levels of the hyaluronic acid receptor CD44 are found on the surface of epithelial, hematopoietic, and neuronal cells; it is overexpressed in many cancer cells, and in particular in tumor-initiating cells. HA has recently attracted considerable interest in the field of developing drug delivery systems, having been used, as such or encapsulated in different types of nanoassembly, as ligand to prepare nano-platforms for actively targeting drugs, genes, and diagnostic agents. This review describes recent progress made with the several chemical strategies adopted to synthesize conjugates and prepare novel delivery systems with improved behaviors

    PARP阻害剤と5-アザデオキシシチジンの併用によるがん細胞への細胞傷害性増強とその転写プロファイルの違いについて

    Get PDF
    Poly(ADP-ribose) polymerase (PARP) is involved in DNA repair and chromatin regulation. 5-Aza-2′-deoxycytidine (5-aza-dC) inhibits DNA methyltransferases, induces hypomethylation, blocks DNA replication, and causes DNA single strand breaks (SSBs). As the PARP inhibitor is expected to affect both DNA repair and transcriptional regulations, we investigated the effect of combinational use of PARP inhibitors on cytotoxicity of 5-aza-dC in human cancer cell lines. The combinational treatment of 5-aza-dC and PARP inhibitor PJ-34 exhibited a stronger cytotoxicity compared with their treatment alone in blood cancer HL-60, U937, and colon cancer HCT116 and RKO cells. Treatment with 5-aza-dC but not PJ-34 caused SSBs in HCT116 cell lines. Global genome DNA demethylation was observed after treatment with 5-aza-dC but not with PJ-34. Notably, in microarray analysis, combinational treatment with PJ-34 and 5-aza-dC caused dissimilar broad changes in gene expression profiles compared with their single treatments in both HCT116 and RKO cells. The profiles of reactivation of silenced genes were also different in combination of PJ-34 and 5-aza-dC and their single treatments. The results suggest that the combinational use of 5-aza-dC and PARP inhibitor may be useful by causing distinct transcriptional profile changes.長崎大学学位論文 学位記番号:博(医歯薬)甲第1471号 学位授与年月日:令和4年12月7日Author: Tomonori Araki, Kensuke Hamada, Aung Bhone Myat, Hideki Ogino, Kohei Hayashi, Miho Maeda, Ying Tong, Yasufumi Murakami, Kazuhiko Nakao and Mitsuko MasutaniCitation: Cancers, 14(17), art.no. 4171; 2022Nagasaki University (長崎大学)課程博

    Molecular Connections between Cancer Cell Metabolism and the Tumor Microenvironment

    Get PDF
    Cancer cells preferentially utilize glycolysis, instead of oxidative phosphorylation, for metabolism even in the presence of oxygen. This phenomenon of aerobic glycolysis, referred to as the “Warburg effect”, commonly exists in a variety of tumors. Recent studies further demonstrate that both genetic factors such as oncogenes and tumor suppressors and microenvironmental factors such as spatial hypoxia and acidosis can regulate the glycolytic metabolism of cancer cells. Reciprocally, altered cancer cell metabolism can modulate the tumor microenvironment which plays important roles in cancer cell somatic evolution, metastasis, and therapeutic response. In this article, we review the progression of current understandings on the molecular interaction between cancer cell metabolism and the tumor microenvironment. In addition, we discuss the implications of these interactions in cancer therapy and chemoprevention
    corecore