MEASUREMENT OF TUMOR GRADE AND RECEPTOR STATUS WITH RAMAN SPECTROSCOPY

这个子项目是许多研究子项目中利用 资源由NIH/NCRR资助的中心拨款提供。子项目和 调查员(PI)可能从NIH的另一个来源获得了主要资金， 并因此可以在其他清晰的条目中表示。列出的机构是 该中心不一定是调查人员的机构。 在体外、体外和体内的研究中，已经证明了拉曼光谱在检测乳腺癌方面的诊断潜力。开发综合算法的下一步是探索拉曼光谱作为预测预后和最终临床结果的实时方法的可行性。我们将收集乳腺癌病变的拉曼光谱，并将光谱特征与肿瘤分级和受体状态相关联。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. The diagnostic potential of Raman spectroscopy to detect breast cancer has been demonstrated in both in vitro, ex vivo and in vivo studies. The next step towards developing a comprehensive algorithm is to explore the feasibility of Raman spectroscopy as a real-time method for prediction of prognosis and ultimately clinical outcome. We will collect Raman spectra from breast cancer lesions and correlate spectral features with tumor grade and receptor status.