Authors' Affiliations: Departments of Medicine, Surgery, Biomedical Sciences, and Biostatistics and Bioinformatics Center, Samuel Oschin Comprehensive Cancer Center, Cedars-Sinai Medical Center, Los Angeles, California.
Clin Cancer Res. 2013 Sep 15;19(18):4905-7. doi: 10.1158/1078-0432.CCR-13-1694. Epub 2013 Sep 5.
Stromal features in carcinomas may provide a relatively consistent means to stratify patients afflicted with solid tumors. Stroma-derived transcriptome signatures can now be used to make predictions about patient survival, suggesting the potential for their clinical application in precision medicine to predict disease progression and emergence of therapeutic resistance.
肿瘤中的基质特征可能为分层患有实体瘤的患者提供一种相对一致的手段。现在可以使用源自基质的转录组特征来预测患者的生存情况，这表明它们有可能在精准医疗中用于临床应用，以预测疾病进展和治疗耐药性的出现。
