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PNAS:老药新用治疗乳腺癌

2016-09-14 佚名 生物谷

图片来源:medicalxpress.com来自美国莱斯大学的研究人员近日通过研究发现了一种新方法,该方法能够抵御和乳腺癌增殖相关的特殊蛋白的过度表达,研究者指出,降低NAF-1蛋白的水平以及其运输的铁硫簇分子(iron-sulfur clusters)的活性或许就能够帮助抑制肿瘤生长,相关研究刊登于国际杂志PNAS上。 研究者认为,用于治疗2型糖尿病的药物-吡格列酮或许就能够有效控制NAF-1

图片来源:medicalxpress.com

来自美国莱斯大学的研究人员近日通过研究发现了一种新方法,该方法能够抵御和乳腺癌增殖相关的特殊蛋白的过度表达,研究者指出,降低NAF-1蛋白的水平以及其运输的铁硫簇分子(iron-sulfur clusters)的活性或许就能够帮助抑制肿瘤生长,相关研究刊登于国际杂志PNAS上。

研究者认为,用于治疗2型糖尿病的药物-吡格列酮或许就能够有效控制NAF-1蛋白的水平,NAF-1的单突变几乎会完全阻断癌细胞增殖的能力,这或许就支撑了研究者的一种看法,即降低NAF-1的水平就能够帮助阻断肿瘤。调节特异性应对肿瘤的药物或许就能够为科学家们提供一种强大的武器来帮助抵御乳腺癌或其它癌症;然而NAF-1蛋白的过度表达或许就和前列腺癌、胃癌、宫颈癌、肝癌及喉癌直接相关。

文章中,研究者利用了一种全面的方法来阐明NAF-1蛋白在乳腺癌中的角色,NAF-1是NEET蛋白家族成员之一,这些家族蛋白能够运输铁硫簇分子,而铁硫簇分子能够通过控制细胞内的还原-氧化作用及代谢活性来调节细胞的代谢过程,自然状态下铁硫簇分子能够吸附到线粒体的外表面。研究者Ron Mittler说道,乳腺癌中NAF-1的过度表达会增强癌细胞对氧化性应激的耐受能力,从而就会促进肿瘤变得更大更具有侵袭性。如今我们知道,过度表达NAF-1蛋白的肿瘤细胞对于特殊类型的药物比较敏感,因此我们或许就能够设计出新型药物来阻断铁硫簇分子的功能,进而抑制肿瘤的发展。

利用药物吡格列酮来稳定铁硫簇分子从而抑制肿瘤就能够降低肿瘤对氧化性压力的耐受性,如今研究者知道5种或6种需要NAF-1蛋白才能够生存增殖的癌症,如果这些癌细胞没有NAF-1蛋白,其就不能生存。同时研究者还发现,促进携带单突变的NAF-1蛋白的表达或许会对癌细胞带来同样的毒性效应,从而抑制肿瘤发展。

研究者指出,拥有的NAF-1蛋白越多,其所转移的铁硫簇分子就越多,肿瘤就会发展越快;此前研究中研究者发现药物吡格列酮可以稳定铁硫簇分子,而在突变体中研究者很难得到任何肿瘤而且也观察不到任何肿瘤血管发生的情况。最后研究者说道,未来我们可以设计出仅结合NAF-1蛋白的选择性药物,这样在有效降低药物副作用的同时还能有效地抑制肿瘤的发生和发展。

原始出处

Merav Darash-Yahanaa,1, Yair Pozniakb,1, Mingyang Luc,d,e,1, Yang-Sung Sohna, Ola Karmia, Sagi Tamira, Fang Baic,d,e, Luhua Songf, Patricia A. Jenningsg, Eli Pikarskyh, Tamar Geigerb, José N. Onuchicc,d,e,2, Ron Mittlerf,2, and Rachel Nechushtaia.Breast cancer tumorigenicity is dependent on high expression levels of NAF-1 and the lability of its Fe-S clusters.PNAS.2016

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    2017-07-03 drwjr
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    2016-10-12 1e0ece0dm09(暂无匿称)

    谢谢指点学习了

    0

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    2016-09-15 jyzxjiangqin

    老药焕发新春。

    0

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    2016-09-15 1dd8a7c5m95(暂无匿称)

    学习了,赞一个!!!

    0

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    2016-09-15 1dd8a7c5m95(暂无匿称)

    学习了,赞一个!!!

    0

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    2016-09-15 1dd8a7c5m95(暂无匿称)

    学习了,赞一个!!!

    0

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    2016-09-14 1dd8a7c5m95(暂无匿称)

    学习了,赞一个!!!

    0

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众所周知,生活方式因素是癌症发展的重要因素。但是最近的一项研究却表明,干细胞分裂期间的随机突变是人类癌症的主要贡献者。研究者对美国白人进行了研究,评估通过改变生活方式预防的癌症(除皮肤、脑、淋巴、血液、和非致死性前列腺癌)发病和死亡比例。 这项前瞻性队列研究分析了来自护士健康研究、健康专业人员随访研究,通过美国国家癌症统计获取癌症和生活方式相关数据,以评估生活方式和癌症发病率、死亡率之间的关

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