Study of TRAIL and SAHA Co-Treatment on Leukemia K562 Cell Line.

IF 1.8 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Amirarsalan Alaei, Saeed Solali, Masoud Mohammad Mirzapour
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引用次数: 0

Abstract

TRAIL (Tumor Necrosis Factor-Related Apoptosis-Inducing Ligand) is an attractive agent being considered a potential cancer treatment. It attaches to its death receptors, leading many cancer cells to apoptosis. However, some malignancies indicate substantial resistance to TRAIL, challenging anticancer scientists. Herein, combination therapy with TRAIL plus SAHA (Suberoyl Anilide Hydroxamic Acid) was conducted to evaluate the capability of SAHA to overcome TRAIL resistance in the leukemia K562 cell line. First, the IC50 for SAHA was calculated (2 µM) at 12, 24, 48, and 72 h of treatment using MTT assay. Second, the K562 cells were treated with concentrations of 50 and 100 nM of TRAIL and 2 μM of SAHA separately and together for 24, 48, and 72 h and the survival of these cells was evaluated by Flowcytometry following the annexin-V and PI staining. To demonstrate the non-toxicity of the combined treatment for normal cells, the HEK-293 cell line was treated with the TRAIL 100 nM and SAHA 2 μM combined and separated at the same periods. In the end, by performing real-time PCR, the amount of candidate genes' expression implicated in TRAIL resistance, and the levels of BCR-ABL expression was measured. The drug dosages were not toxic to normal cells. SAHA plus TRAIL strongly triggered apoptosis in K562 cells after 24, 48, and 72 h of exposure. Furthermore, it was shown that DR4, DR5, and CHOP expressions were enhanced, and PI3K, Akt, ERK, STAT3, c-FLIPL, NF-κB, and BCR-ABL expressions were decreased by SAHA in K562 cells. Our study indicated that SAHA combined with TRAIL can increase the sensitivity of K562 leukemic cells to TRAIL by suppressing intracellular anti-apoptotic molecules and augmenting the expressions of DR4/DR5 and CHOP.

TRAIL 和 SAHA 联合治疗白血病 K562 细胞株的研究
TRAIL(肿瘤坏死因子相关凋亡诱导配体)是一种极具吸引力的药物,被认为是一种潜在的癌症治疗方法。它附着在死亡受体上,导致许多癌细胞凋亡。然而,一些恶性肿瘤显示出对 TRAIL 的严重抗药性,这给抗癌科学家带来了挑战。在此,研究人员进行了TRAIL与SAHA(Suberoyl Anilide Hydroxamic Acid)的联合治疗,以评估SAHA克服白血病K562细胞系TRAIL耐药性的能力。首先,使用 MTT 法计算了 SAHA 在处理 12、24、48 和 72 小时后的 IC50(2 µM)。其次,用 50 和 100 nM 的 TRAIL 和 2 μM 的 SAHA 分别或一起处理 K562 细胞 24、48 和 72 小时,并在附件素-V 和 PI 染色后用流式细胞仪评估这些细胞的存活率。为了证明联合处理对正常细胞无毒性,HEK-293 细胞系在相同的时间段内分别接受 TRAIL 100 nM 和 SAHA 2 μM 的联合处理。最后,通过实时荧光定量PCR检测了TRAIL抗性候选基因的表达量和BCR-ABL的表达水平。药物剂量对正常细胞无毒性。K562细胞在接触SAHA和TRAIL 24小时、48小时和72小时后会出现强烈的细胞凋亡。此外,研究还表明,SAHA能增强K562细胞中DR4、DR5和CHOP的表达,降低PI3K、Akt、ERK、STAT3、c-FLIPL、NF-κB和BCR-ABL的表达。我们的研究表明,SAHA与TRAIL联用可通过抑制细胞内抗凋亡分子、增强DR4/DR5和CHOP的表达,提高K562白血病细胞对TRAIL的敏感性。
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来源期刊
Cell Biochemistry and Biophysics
Cell Biochemistry and Biophysics 生物-生化与分子生物学
CiteScore
4.40
自引率
0.00%
发文量
72
审稿时长
7.5 months
期刊介绍: Cell Biochemistry and Biophysics (CBB) aims to publish papers on the nature of the biochemical and biophysical mechanisms underlying the structure, control and function of cellular systems The reports should be within the framework of modern biochemistry and chemistry, biophysics and cell physiology, physics and engineering, molecular and structural biology. The relationship between molecular structure and function under investigation is emphasized. Examples of subject areas that CBB publishes are: · biochemical and biophysical aspects of cell structure and function; · interactions of cells and their molecular/macromolecular constituents; · innovative developments in genetic and biomolecular engineering; · computer-based analysis of tissues, cells, cell networks, organelles, and molecular/macromolecular assemblies; · photometric, spectroscopic, microscopic, mechanical, and electrical methodologies/techniques in analytical cytology, cytometry and innovative instrument design For articles that focus on computational aspects, authors should be clear about which docking and molecular dynamics algorithms or software packages are being used as well as details on the system parameterization, simulations conditions etc. In addition, docking calculations (virtual screening, QSAR, etc.) should be validated either by experimental studies or one or more reliable theoretical cross-validation methods.
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