|
- 2015
Survivin反义核酸联合紫杉醇对皮下荷瘤Balb/c小鼠模型的治疗作用
|
Abstract:
摘要:目的 研究survivin反义核酸与紫杉醇联合应用对皮下荷瘤Bal b/c小鼠模型的治疗作用,并初步探讨对其抗癌作用的机制。方法 在Bal b/c小鼠皮下注射C26细胞,建立皮下瘤模型,采用瘤内注射的方式,将实验分空白组(C)、lipo2000对照组(L)、紫杉醇组(T)、survivin反义核酸组(A)、survivin反义核酸联合紫杉醇组(A+T)5个不同组,观察肿瘤的生长状态,TUNEL法检测凋亡细胞,Western blot法检测survivin蛋白表达。结果 ①各治疗组均达到了(T/C)<60%,与L组比较差异有统计学意义(P<0.05),体内证实给药干预有效;小鼠瘤重的抑瘤率结果显示,与C组比较,T、A、A+T各给药组均能抑制小鼠瘤重,差异具有统计学意义(P<0.05),从抑制肿瘤质量增长方面而言,二者联合用药[瘤重抑瘤率为(54.16±0.32)%]将紫杉醇[瘤重抑瘤率为(21.82±0.84)%]的抗癌活性提高了59%以上;②TUNEL法检测凋亡细胞:空白对照组几乎没有肿瘤细胞凋亡。T组及A组有一定量的凋亡细胞,以上试验结果提示,紫杉醇具有促进肿瘤细胞凋亡的能力,A+T不仅加强了对肿瘤细胞的杀伤作用,而且二者的协同作用可能对肿瘤耐药性有所影响,最终使得其促肿瘤细胞凋亡的作用尤为显著;③survivin蛋白表达:结果显示,A+T组survivin蛋白的表达明显降低,而不影响β-actin的表达,C组和L组相比无明显变化,T组、A组、A+T组A值的比值分别为0.895±0.011、0.704±0.121、0.345±0.019,经方差分析,A+T组与C、L、A、T组的表达量差异具有统计学意义(P<0.05)。结论 survivin反义核酸与紫杉醇联合用药,可能通过下调survivin蛋白的表达从而促进肿瘤细胞凋亡,联合用药可降低机体耐药性,发挥协同作用。
ABSTRACT: Objective To explore the therapeutic effects of combined application of survivin antisense nucleic acid and taxol in subcutaneous xenograft mouse model of Balb/c and to preliminarily investigate the mechanism of the anticancer effects. Methods The model of subcutaneous tumor was established by hypodermic injection of C26 cells into Bal b/c mice. The mice were then randomly divided into five groups through the internal tumor injection: the blank group (C), lipo2000 group (L), paclitaxel group (T), survivin antisense nucleic acid group (A), and survivin antisense nucleic acid combined with paclitaxel group (A+T). We observed tumor growth, determined cell apoptosis by TUNEL method, and detected the expression of survivin by Western blot. Results ① All treatment groups had T/C<60%, which was significantly different from that of group L (P<0.05); the intervention was proved effective in vivo. The tumor inhibition rate of mice tumor weight showed that there were significantly curative effects in groups T, A and A+T compared with that in group C (P<0.05). The antitumor activity of paclitaxel (tumor inhibition rate of 21.82%±0.84%) could be improved by more than 59% through combination therapy (tumor inhibition rate of 54.16%±0.32%) concerning inhibition of tumor weight growth. ② TUNEL method detected apoptotic cells: The tumor cells hardly had apoptosis in the blank group while T group and A group had a certain number of apoptotic cells. The experiment results suggested that PTX could promote tumor cell apoptosis, and that not only A+T strengthened the effect in killing tumor cells, but also the synergy of both could influence tumor resistance and ultimately make the effect in promoting tumor cell apoptosis conspicuous. ③ The expression
[1] | GIBBS RA, WEINSTOCK GM, METZKER ML, et al. Genome sequence of the Brown Norway rat yields insights into mammalian evolution[J]. Nature, 2004, 428:493-521. |
[2] | HAFNER M, LANDGRAF P, LUDWIG J, et al. Identification of microRNAs and other small regulatory RNAs using cDNA library sequencing[J]. Methods, 2008, 44:3-12. |
[3] | 2015, 520(7545):90-93. |
[4] | SUN J, ZHONG N, LI Q, et al. MicroRNAs of rat articular cartilage at different developmental stages identified by Solexa sequencing[J]. Osteoarthr Cartilage, 2011, 19:1237-1245. |
[5] | ZHONG N, SUN J, MIN Z, et al. MicroRNA-337 is associated with chondrogenesis through regulating TGFBR2 expression[J]. Osteoarthr Cartilage, 2012, 20:593-602. |
[6] | LI R, LI Y, KRISTIANSEN K, et al. SOAP: short oligonucleotide alignment program[J]. Bioinformatics, 2008, 24:713-714. |
[7] | NGREITZ JM, SIROKMAN K, MCDONEL P, et al. RNA-RNA interactions enable specific targeting of noncoding RNAs to nascent Pre-mRNAs and chromatin sites[J]. Cell, 2014, 159:188-199. |
[8] | HWARTZ S, BERNSTEIN DA, MUMBACH MR, et al. Transcriptome-wide mapping reveals widespread dynamic-regulated pseudouridylation of ncRNA and mRNA[J]. Cell, 2014, 159:148-162. |
[9] | RANOV P, OZSOLAK F, KIM SW, et al. New class of gene-termini-associated human RNAs suggests a novel RNA copying mechanism[J]. Nature, 2010, 466:642-646. |
[10] | LAURESSERGUES D, COUZIGOU JM, CLEMENTE HS, et al. Primary transcripts of microRNAs encode regulatory peptides[J]. Nature, |
[11] | COLLINS LJ. The RNA infrastructure: an introduction to ncRNA networks[J]. Adv Exp Med Biol, 2011, 722: 1-19. |
[12] | COKUS SJ, FENG S, ZHANG X, et al. Shotgun bisulphite sequencing of the Arabidopsis genome reveals DNA methylation patterning[J]. Nature, 2008, 452:215-219. |
[13] | GLAZOV EA, COTTEE PA, BARRIS WC, et al. A microRNA catalog of the developing chicken embryo identified by a deep sequencing approach[J]. Genome Res, 2008, 18:957-964. |
[14] | LU C, JEONG DH, KULKARNI K, et al. Genome-wide analysis for discovery of rice microRNAs reveals natural antisense microRNAs (nat-miRNAs)[J]. PNAS, 2008, 105:4951-4956. |
[15] | CHEN X, LI QB, WANG J, et al. Identification and characterization of novel amphioxus microRNAs by Solexa sequencing[J]. Genome Biol, 2009, 10:R78.2-R78.13. |
[16] | FOX JG, ANDERSON LC, LOEW FM. Laboratory Animal Medicine[M]. San Diego:Academic Press, 2002: 1265-1325. |
[17] | CZECH B, MALONE CD, ZHOU R, et al. An endogenous small interfering RNA pathway in Drosophila[J]. Nature, 2008, 453:798-802. |
[18] | ADAI A, JOHNSON C, MLOTSHWA S, et al. Computational prediction of miRNAs in Arabidopsis thaliana[J]. Genome Res, 2005, 15:78-91. |
[19] | HUTVAGNER G, MCLACHLAN J, PASQUINELLI AE, et al. A cellular function for the RNA-interference enzyme Dicer in the maturation of the let-7 small temporal RNA[J]. Science, 2001, 293:834-838. |