Lipid quantification by Raman microspectroscopy as a potential biomarker in prostate cancer.
Lipid quantification by Raman microspectroscopy as a potential biomarker in prostate cancer.
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DOI：
10.1016/j.canlet.2017.03.025
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发表时间：
2017-07-01
期刊：
影响因子：
9.7
通讯作者：
Chandra D
中科院分区：
文献类型：
--
作者：
O'Malley J;Kumar R;Kuzmin AN;Pliss A;Yadav N;Balachandar S;Wang J;Attwood K;Prasad PN;Chandra D
转移性去势复发性前列腺癌（mCRPC）仍然无法治愈，是美国男性癌症相关死亡的主要原因之一。因此，早期发现前列腺癌 (PCa) 可能会降低男性与 PCa 相关的死亡率。我们表明，通过振动拉曼显微光谱和生物分子成分分析进行脂质定量可以作为 PCa 的潜在生物标志物。在 PRAD TCGA 队列中，包括甾醇调节元件结合蛋白 1 (SREBP-1) 及其下游效应脂肪酸合酶 (FASN) 和限速酶乙酰辅酶 A 羧化酶 (ACACA) 在内的脂肪生成基因的转录水平上调，与格里森评分和病理 T 分期相对应。与早期 TRAMP 和正常前列腺组织相比，晚期转基因小鼠前列腺腺癌 (TRAMP) 肿瘤中的脂质积累增加。与野生型前列腺组织相比，TRAMP 肿瘤中 FASN 以及其他脂肪生成酶和 SREBP-1 蛋白均上调。使用 TCGA PRAD 队列，关键脂肪生成基因的遗传改变预测了患者的总体生存率。脂质积累与肿瘤分期之间的相关性为 PCa 诊断提供了定量标记。因此，基于拉曼光谱的脂质定量可能是 PCa 诊断和分期的敏感且可靠的工具。
Metastatic castration recurrent prostate cancer (mCRPC) remains incurable and is one of the leading causes of cancer-related death among American men. Therefore, detection of prostate cancer (PCa) at early stages may reduce PCa-related mortality in men. We show that lipid quantification by vibrational Raman Microspectroscopy and Biomolecular Component Analysis may serve as a potential biomarker in PCa. Transcript levels of lipogenic genes including sterol regulatory element-binding protein-1 (SREBP-1) and its downstream effector fatty acid synthase (FASN), and rate-limiting enzyme acetyl CoA carboxylase (ACACA) were upregulated corresponding to both Gleason score and pathologic T stage in the PRAD TCGA cohort. Increased lipid accumulation in late-stage transgenic adenocarcinoma of mouse prostate (TRAMP) tumors compared to early-stage TRAMP and normal prostate tissues were observed. FASN along with other lipogenesis enzymes, and SREBP-1 proteins were upregulated in TRAMP tumors compared to wild-type prostatic tissues. Genetic alterations of key lipogenic genes predicted the overall patient survival using TCGA PRAD cohort. Correlation between lipid accumulation and tumor stage provides quantitative marker for PCa diagnosis. Thus, Raman spectroscopy-based lipid quantification could be sensitive and reliable tool for PCa diagnosis and staging.