Small nucleolar RNA signatures as biomarkers for non-small-cell lung cancer.
Small nucleolar RNA signatures as biomarkers for non-small-cell lung cancer.
复制标题
小核仁 RNA 特征作为非小细胞肺癌的生物标志物
DOI:
10.1186/1476-4598-9-198
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发表时间:
2010-07-27
期刊:
影响因子:
37.3
通讯作者:
Jiang F
中科院分区:
文献类型:
--
作者:
Liao J;Yu L;Mei Y;Guarnera M;Shen J;Li R;Liu Z;Jiang F
BackgroundNon-small-cell lung cancer (NSCLC) is the leading cause of cancer death. Early detection of NSCLC will improve its outcome. The current techniques for NSCLC early detection are either invasive or have low accuracy. Molecular analyses of clinical specimens present promising diagnostic approaches. Non-coding RNAs (ncRNAs) play an important role in tumorigenesis and could be developed as biomarkers for cancer. Here we aimed to develop small nucleolar RNAs (snoRNAs), a common class of ncRNAs, as biomarkers for NSCLC early detection. The study comprised three phases: (1) profiling snoRNA signatures in 22 NSCLC tissues and matched noncancerous lung tissues by GeneChip Array, (2) validating expressions of the signatures by RT-qPCR in the tissues, and (3) evaluating plasma expressions of the snoRNAs in 37 NSCLC patients, 26 patients with chronic obstructive pulmonary disease (COPD), and 22 healthy subjects.ResultsIn the surgical tissues, six snoRNAs were identified, which were overexpressed in all tumour tissues compared with their normal counterparts. The overexpressions of the genes in tumors were confirmed by RT-qPCR. The snoRNAs were stably present and reliably detectable in plasma. Of the six genes, three (SNORD33, SNORD66 and SNORD76) displayed higher plasma expressions in NSCLC patients compared with the cancer-free individuals (All < 0.01). The use of the three genes produced 81.1% sensitivity and 95.8% specificity in distinguishing NSCLC patients from both normal and COPD subjects. The plasma snoRNA expressions were not associated with stages and histological types of NSCLC (All > 0.05).ConclusionsThe identified snoRNAs provide potential markers for NSCLC early detection.
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影响因子:
64.8
作者:
Lu, J;Getz, G;Golub, TR
通讯作者:
Golub, TR
影响因子:
12.3
作者:
Galasso M;Sana ME;Volinia S
通讯作者:
Volinia S
影响因子:
5.9
作者:
Dong, Xue-Yuan;Guo, Peng;Boyd, Jeff;Sun, Xiaodong;Li, Qunna;Zhou, Wei;Dong, Jin-Tang
通讯作者:
Dong, Jin-Tang
影响因子:
3.5
作者:
Dong, Xue-Yuan;Rodriguez, Carmen;Dong, Jin-Tang
通讯作者:
Dong, Jin-Tang
DOI:
10.1073/pnas.250426397
发表时间:
2000-12-19
影响因子:
11.1
作者:
Cavaillé, J;Buiting, K;Hüttenhofer, A
通讯作者:
Hüttenhofer, A