MALDI imaging mass spectrometry profiling of proteins and lipids in clear cell renal cell carcinoma.
MALDI imaging mass spectrometry profiling of proteins and lipids in clear cell renal cell carcinoma.
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DOI：
10.1002/pmic.201300434
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发表时间：
2014-04
期刊：
影响因子：
3.4
通讯作者：
Drake RR
中科院分区：
文献类型：
--
作者：
Jones EE;Powers TW;Neely BA;Cazares LH;Troyer DA;Parker AS;Drake RR
降低透明细胞肾细胞癌（ccRCC）的发病率和死亡率仍然是一个重大的临床挑战，5年生存率很低。一个独特的组织队列由与中度疾病进展风险相关的匹配的ccRCC和远端非肿瘤组织（n=20）组成，其中一半来自进展为转移性疾病的个体，另一半保持无疾病。将这些组织用于2-20 kDa范围内蛋白质的MALDI成像质谱分析，得到一组具有潜在疾病特异性表达模式的108种蛋白质。通过串联质谱法分析来自相同组织的蛋白质裂解物，导致鉴定出分子量小于20 kDa的56种蛋白质。相同的组织也用于通过MALDI-FTICR质谱法进行的总体脂质谱分析。从累积的蛋白质和脂质表达谱数据中，鉴定了26种蛋白质和39种脂质种类的精细组，其可以区分肿瘤与非肿瘤组织，或者来自复发性疾病进展者的组织与非复发性疾病个体。这种方法不仅有可能改善预后评估和加强术后监测，而且还可以了解ccRCC进展的基础生物学。
Reducing the incidence and mortality rates for clear cell renal cell carcinoma (ccRCC) remains a significant clinical challenge with poor 5-year survival rates. A unique tissue cohort was assembled of matched ccRCC and distal non-tumor tissues (n=20) associated with moderate risk of disease progression, half of these from individuals who progressed to metastatic disease and the other half who remained disease free. These tissues were used for MALDI imaging mass spectrometry profiling of proteins in the 2–20 kDa range, resulting in a panel of 108 proteins that had potential disease specific expression patterns. Protein lysates from the same tissues were analyzed by tandem mass spectrometry, resulting in identification of 56 proteins of less than 20 kDa molecular weight. The same tissues were also used for global lipid profiling analysis by MALDI-FTICR mass spectrometry. From the cumulative protein and lipid expression profile data, a refined panel of 26 proteins and 39 lipid species were identified that could either distinguish tumor from non-tumor tissues, or tissues from recurrent disease progressors from non-recurrent disease individuals. This approach has the potential to not only improve prognostic assessment and enhance post-operative surveillance, but also to inform on the underlying biology of ccRCC progression.
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DOI：
10.1038/nrurol.2010.47
发表时间：
2010-05
期刊：
Nature reviews. Urology
影响因子：
--
作者：
通讯作者：
--
影响因子：
7
作者：
Chaurand, Pierre;Cornett, Dale S.;Caprioli, Richard M.
通讯作者：
Caprioli, Richard M.
影响因子：
12.3
作者：
Brown MV;McDunn JE;Gunst PR;Smith EM;Milburn MV;Troyer DA;Lawton KA
通讯作者：
Lawton KA
影响因子：
17.1
作者：
Balog, Julia;Sasi-Szabo, Laszlo;Takats, Zoltan
通讯作者：
Takats, Zoltan
影响因子：
11.5
作者：
Cazares, Lisa H.;Troyer, Dean;Semmes, O. John
通讯作者：
Semmes, O. John