کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5525338 1546672 2017 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Original ArticleLipid quantification by Raman microspectroscopy as a potential biomarker in prostate cancer
موضوعات مرتبط
علوم زیستی و بیوفناوری بیوشیمی، ژنتیک و زیست شناسی مولکولی تحقیقات سرطان
پیش نمایش صفحه اول مقاله
Original ArticleLipid quantification by Raman microspectroscopy as a potential biomarker in prostate cancer
چکیده انگلیسی


- Lipid accumulation may provide quantitative marker for prostate cancer diagnosis.
- Micro-Raman-BCA lipid quantification serves as a novel approach in prostate tumor staging.
- Upregulation of lipogenic molecules correlates with aggressive disease in prostate cancer.

Metastatic castration-resistant 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 a sensitive and reliable tool for PCa diagnosis and staging.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Cancer Letters - Volume 397, 1 July 2017, Pages 52-60
نویسندگان
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