XRCC2 knockdown effectively sensitizes esophageal cancer to albumin-paclitaxel in vitro and in vivo.

IF 2.1 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Biochemical Genetics Pub Date : 2024-07-24 DOI:10.1007/s10528-024-10885-4
Jia Xu, Xiaoyuan Liu, Zebo Huang, Tingxun Lu, Ying Zhang, Dongyan Cai, Xia Li
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Abstract

Esophageal cancer (EC), a prevalent malignancy, has a high incidence and mortality. X-ray repair cross complementing 2 (XRCC2) functions on DNA damage and repair that works the progression of various cancers. Nevertheless, the role and mechanism of XRCC2 remain unknown in EC. The XRCC2 expression was examined by reverse transcription quantitative polymerase chain reaction and western blot. The function of XRCC2 in EC were investigated through cell counting kit-8, colony formation, transwell, flow cytometry, chromatin immunoprecipitation, luciferase, and western blot experiments. Besides, the role of XRCC2 in EC was assessed by western blot and immunohistochemistry experiments after nude mice were injected with EC109 cells and treated with nab-paclitaxel. The XRCC2 expression was upregulated in EC. Knockdown of XRCC2 diminished cell viability, and the number of colonies, migration cells and invasion cells of KYSE150 and EC109 cells. Silencing of XRCC2 diminished the cell viability of both two cells with a lower IC50, whereas boosted the apoptosis rate of both cells with the treatment of albumin-paclitaxel. All these outcomes were reverse with the upregulation of XRCC2 in both two cells. Mechanically, XRCC2 was transcriptionally regulated by specificity protein 1 (SP1), and silencing of SP1 inhibited the cell growth of EC. In vivo, transfection of shXRCC2 with or without albumin-paclitaxel treatment both decreased the tumor size and weight, as well as the expression of XRCC2 and Ki-67 in xenografted mice. XRCC2 transcriptionally regulated by SP2 promoted proliferation, migration, invasion, and chemoresistance of EC cells.

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在体外和体内敲除 XRCC2 能有效提高食管癌对白蛋白-紫杉醇的敏感性。
食管癌(EC)是一种常见的恶性肿瘤,发病率和死亡率都很高。X 射线修复交叉互补 2(XRCC2)在 DNA 损伤和修复方面发挥着作用,从而影响各种癌症的进展。然而,XRCC2在癌细胞中的作用和机制仍不清楚。研究人员通过反转录定量聚合酶链反应和免疫印迹检测了XRCC2的表达。通过细胞计数试剂盒-8、集落形成、透孔、流式细胞术、染色质免疫沉淀、荧光素酶和蛋白印迹实验研究了XRCC2在EC中的功能。此外,裸鼠注射EC109细胞并接受纳布紫杉醇治疗后,XRCC2在EC中的作用还通过Western印迹和免疫组化实验进行了评估。XRCC2 在心肌细胞中表达上调。敲除 XRCC2 会降低 KYSE150 和 EC109 细胞的细胞活力、菌落数、迁移细胞数和侵袭细胞数。沉默 XRCC2 会降低这两种细胞的活力,但 IC50 值较低,而在白蛋白-紫杉醇处理下会提高这两种细胞的凋亡率。所有这些结果都与 XRCC2 在这两种细胞中的上调作用相反。在机制上,XRCC2受特异性蛋白1(SP1)的转录调控,沉默SP1可抑制EC的细胞生长。在体内,转染 shXRCC2 加或不加白蛋白-紫杉醇处理均可减少异种移植小鼠的肿瘤大小和重量,以及 XRCC2 和 Ki-67 的表达。受SP2转录调控的XRCC2促进了EC细胞的增殖、迁移、侵袭和化疗耐受性。
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来源期刊
Biochemical Genetics
Biochemical Genetics 生物-生化与分子生物学
CiteScore
3.90
自引率
0.00%
发文量
133
审稿时长
4.8 months
期刊介绍: Biochemical Genetics welcomes original manuscripts that address and test clear scientific hypotheses, are directed to a broad scientific audience, and clearly contribute to the advancement of the field through the use of sound sampling or experimental design, reliable analytical methodologies and robust statistical analyses. Although studies focusing on particular regions and target organisms are welcome, it is not the journal’s goal to publish essentially descriptive studies that provide results with narrow applicability, or are based on very small samples or pseudoreplication. Rather, Biochemical Genetics welcomes review articles that go beyond summarizing previous publications and create added value through the systematic analysis and critique of the current state of knowledge or by conducting meta-analyses. Methodological articles are also within the scope of Biological Genetics, particularly when new laboratory techniques or computational approaches are fully described and thoroughly compared with the existing benchmark methods. Biochemical Genetics welcomes articles on the following topics: Genomics; Proteomics; Population genetics; Phylogenetics; Metagenomics; Microbial genetics; Genetics and evolution of wild and cultivated plants; Animal genetics and evolution; Human genetics and evolution; Genetic disorders; Genetic markers of diseases; Gene technology and therapy; Experimental and analytical methods; Statistical and computational methods.
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