Suppr超能文献

基因芯片鉴定的骨肉瘤中表达的癌-睾丸抗原与患者预后不良相关。

Cancer-testis antigens expressed in osteosarcoma identified by gene microarray correlate with a poor patient prognosis.

机构信息

Musculoskeletal Oncology Department, First Affiliated Hospital of Zhongshan University, Guangdong, China.

出版信息

Cancer. 2012 Apr 1;118(7):1845-55. doi: 10.1002/cncr.26486. Epub 2011 Aug 26.

Abstract

BACKGROUND

From 30% to 40% patients with osteosarcoma eventually experience medical failure; and few biomarkers of prognostic significance have been established. High-throughput methods like gene microarray analysis can help to identify molecular biomarkers that are useful for diagnosing osteosarcoma and targeting its treatment.

METHODS

Oligonucleotide microarrays were used to compare expression profiles of osteosarcoma cell lines and osteoblasts. Differentially expressed genes were confirmed by real-time polymerase chain reaction (PCR) analysis. Corresponding proteins were evaluated by flow cytometry and Western blot analysis in osteosarcoma cell lines and by immunohistochemistry in osteosarcoma tissues. The association between staining intensity and clinical outcome was analyzed further.

RESULTS

Cancer-testis antigens, including melanoma antigen family A (MAGEA), chondrosarcoma-associated gene family, member 2 (CSAG2), and preferentially expressed antigen in melanoma (PRAME), were increased significantly in all osteosarcoma cell lines that were analyzed. Real-time PCR examinations indicated that cancer-testis antigen expression was frequent and coordinated in patients with osteosarcoma. The expression of MAGEA was confirmed by Western blot and flow cytometry analyses in osteosarcoma cell lines. Furthermore, immunohistochemical staining analysis suggested that MAGEA expression may be used to predict distant metastasis and poor survival. The adjusted relative risk for lung metastasis was 2.79 (95% confidence interval, 1.12-6.93; P = .028) for MAGEA-positive patients. Five-year survival rates for patients with and without MAGEA expression were 39.6% ± 8.4% and 80% ± 8.9%, respectively (log-rank test; P = .01).

CONCLUSIONS

The combined use of an oligonucleotide microarray, a clinical database, and a tissue bank was useful for identifying molecular tumor markers. The frequent expression of MAGEA and other cancer-testis antigens in osteosarcoma indicates that they may be useful as diagnostic markers and targets of immunotherapy that warrant further investigation.

摘要

背景

30%至 40%的骨肉瘤患者最终会出现医疗失败;但目前尚未确定有预后意义的生物标志物。高通量方法,如基因微阵列分析,可以帮助识别对诊断骨肉瘤和靶向治疗有用的分子生物标志物。

方法

使用寡核苷酸微阵列比较骨肉瘤细胞系和成骨细胞的表达谱。通过实时聚合酶链反应(PCR)分析证实差异表达基因。通过流式细胞术和 Western blot 分析在骨肉瘤细胞系中评估相应的蛋白质,并通过免疫组织化学在骨肉瘤组织中评估。进一步分析了染色强度与临床结果之间的关系。

结果

包括黑色素瘤抗原家族 A(MAGEA)、软骨肉瘤相关基因家族成员 2(CSAG2)和黑色素瘤优先表达抗原(PRAME)在内的癌症睾丸抗原在所有分析的骨肉瘤细胞系中均显著增加。实时 PCR 检查表明,癌症睾丸抗原在骨肉瘤患者中表达频繁且协调。Western blot 和流式细胞术分析证实了 MAGEA 在骨肉瘤细胞系中的表达。此外,免疫组织化学染色分析表明,MAGEA 表达可用于预测远处转移和不良生存。MAGEA 阳性患者的肺转移调整相对风险为 2.79(95%置信区间,1.12-6.93;P =.028)。有和没有 MAGEA 表达的患者的 5 年生存率分别为 39.6%±8.4%和 80%±8.9%(对数秩检验;P =.01)。

结论

寡核苷酸微阵列、临床数据库和组织库的联合使用有助于识别分子肿瘤标志物。MAGEA 和其他癌症睾丸抗原在骨肉瘤中的频繁表达表明,它们可能作为诊断标志物和免疫治疗靶点有用,值得进一步研究。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验