Developing a Raman spectroscopy-based tool to stratify patient response to pre-operative radiotherapy in rectal cancer
Developing a Raman spectroscopy-based tool to stratify patient response to pre-operative radiotherapy in rectal cancer
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DOI：
10.1039/d0an01803a
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发表时间：
2021-01-21
期刊：
影响因子：
4.2
通讯作者：
West, Nicholas P.
中科院分区：
文献类型：
--
作者：
Kirkby, Chloe J.;Gala de Pablo, Julia;West, Nicholas P.
直肠癌患者在手术切除前经常接受术前放疗（RT）。然而，结直肠癌是异质性的，肿瘤对术前RT的反应程度是高度可变的。目前还没有临床上批准的方法来预测对RT的反应，并且尽管忍受副作用，但很大一部分患者将不会显示出临床益处。我们评估了拉曼光谱（RS）的使用，这是一种非破坏性技术，能够提供组织的独特化学指纹，作为一种潜在的工具，以分层患者对术前RT的反应。拉曼测量结果来自福尔马林固定，石蜡包埋（FFPE）治疗前活检标本的20例直肠癌患者接受了预主成分分析和线性判别分析算法能够将患者对术前RT的反应分类为好或差，准确度为86.04 +/-0.14%（标准误差）。对RT反应良好的患者表现出更大的蛋白质相关峰的贡献，而反应差的患者表现出更大的脂质贡献。这些结果表明，RS能够可靠地将肿瘤对FFPE活检的术前RT的反应进行分类，并突出了其指导个性化癌症患者治疗的潜力。
Rectal cancer patients frequently receive pre-operative radiotherapy (RT), prior to surgical resection. However, colorectal cancer is heterogeneous and the degree of tumour response to pre-operative RT is highly variable. There are currently no clinically approved methods of predicting response to RT, and a significant proportion of patients will show no clinical benefit, despite enduring the side-effects. We evaluated the use of Raman spectroscopy (RS), a non-destructive technique able to provide the unique chemical fingerprint of tissues, as a potential tool to stratify patient response to pre-operative RT. Raman measurements were obtained from the formalin-fixed, paraffin-embedded (FFPE) pre-treatment biopsy specimens of 20 rectal cancer patients who received pre-operative RT. A principal component analysis and linear discriminant analysis algorithm was able to classify patient response to pre-operative RT as good or poor, with an accuracy of 86.04 +/- 0.14% (standard error). Patients with a good response to RT showed greater contributions from protein-associated peaks, whereas patients who responded poorly showed greater lipid contributions. These results demonstrate that RS is able to reliably classify tumour response to pre-operative RT from FFPE biopsies and highlights its potential to guide personalised cancer patient treatment.