基于表情的诊断,治疗选择和乳腺癌药物开发
Qing Ye1, Jiajia Wang1, Barbara Ducatman2
1West Virginia University Cancer Institute/Mary Babb Randolph Cancer Center, West Virginia University, Morgantown, WV 26506, USA.
International journal of molecular sciences
|July 14, 2023
概括
一种新的26基因表达特征可以识别早期乳腺癌,并预测未来从前恶性病变中侵袭性癌症的发展. 这一发现有助于选择高风险患者,并提供潜在的新治疗点.
科学领域:
- 在瘤学瘤学.
- 分子生物学分子生物学
- 基因组学就是基因组学.
背景情况:
- 目前的方法缺乏预测从先发性病变中侵袭性乳腺癌发展的能力.
- 准确的预测对于早期干预和改善患者结果至关重要.
研究的目的:
- 确定用于预测侵袭性乳腺癌发展的新型基因表达生物标志物.
- 开发一种基因特征,用于对侵入性导管癌进行分类,并识别高风险的先发性病变.
- 探索已识别的生物标志物和基因特征的治疗潜力.
主要方法:
- 利用26基因的mRNA表达特征来区分侵袭性导管癌与正常和良性乳腺组织.
- 开发了一个模型来识别具有癌症发展 (ADHC) 高潜力的非典型导管增生症 (ADH).
- 在独立的组织和血液样本中通过RT-PCR验证mRNA表达;使用免疫组织化学评估蛋白质表达 (PBX2,RAD52).
主要成果:
- 该基因特征准确地分类了侵入性导管癌 (94.05%的准确率,AUC=0.96) 并预测了ADH组织的癌症发展 (100%的准确率).
- 在独立样本中验证了mRNA表达,证实了PBX2和RAD52蛋白表达对乳腺癌存活率的预后意义.
- 签名分层的癌症基因组图谱 (TCGA) 乳腺癌患者,揭示了与免疫透的关联,并预测了药物敏感性/耐药性.
结论:
- 一个26基因的mRNA表达特征有效地识别了侵袭性乳腺癌,并预测了前恶性病变的未来发展.
- 已识别的生物标志物 (PBX2,RAD52) 对乳腺癌存活率具有预后价值.
- 该基因特征为个性化治疗策略提供了潜力,并确定了一个新的治疗标 (VEGFR抑制剂ZM-306416).
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