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| Status |
Public on Feb 10, 2020 |
| Title |
Seven-lncRNA signature in esophageal squamous cell carcinoma |
| Organism |
Homo sapiens |
| Experiment type |
Non-coding RNA profiling by array
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| Summary |
A seven-lncRNA signature was identified in the training set, which is significantly associated with overall survival (OS) (Hazard Ratio [HR]: 3.535, 95% confidence interval [CI]: 2.113-5.915, P < 0.001) and disease-free survival (DFS) (Hazard Ratio [HR]: 2.413, 95% confidence interval [CI]: 1.573-3.703, P < 0.001). Patients in high-risk group have shorter overall survival (HR: 3.555, 95% CI: 2.195-5.757, p < 0.001) and disease-free survival (HR: 2.537, 95% CI: 1.646-3.909, p < 0.001) in the training set, and we found the same conclusion in the independent set for OS (HR 2.665, p < 0.001) and DFS (HR 2.360, p = 0.001). Combination of the signature and TNM staging system was more powerful than TNM staging system alone in predicting outcomes in both the training set (AUC: 0.772 vs 0.681, p = 0.002) and in the independent set (AUC: 0.772 vs 0.660, p = 0.003).
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| Overall design |
Using a 2520 probe microarray, we retrospectively analyzed lncRNA expression profiles in 141 samples of ESCC and 81 paired non-cancer specimens from SUN YAT-SEN University Cancer Center (Guangzhou, China), which were served as the training set to identify a signature associated with clinical outcomes. We randomly selected 40 paired tumor tissues and paired adjacent normal tissues from the above samples for the quantitative RT-PCR to confirm the credibility of microarray data. Then we conducted the quantitative RT-PCR in another 103 samples of ESCC as an independent set to verify the signature.
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| Contributor(s) |
Chi J, Weng N, Wang H |
| Citation(s) |
32005248 |
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| Submission date |
Dec 28, 2016 |
| Last update date |
Feb 10, 2020 |
| Contact name |
Nuoqing Weng |
| E-mail(s) |
[email protected]
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| Phone |
15889969645
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| Organization name |
State Key Laboratory of Oncology in South China,Sun Yat-sen University
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| Street address |
651，Dongfengdong road
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| City |
Guangzhou |
| State/province |
Guangdong |
| ZIP/Postal code |
510000 |
| Country |
China |
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| Platforms (1) |
| GPL22868 |
State Key Laboratory Human LncRNA array 1858 |
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| Samples (222)
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| Relations |
| BioProject |
PRJNA359216 |
| Supplementary file |
Size |
Download |
File type/resource |
| GSE92986_RAW.tar |
47.0 Mb |
(http)(custom) |
TAR (of GPR) |
| Processed data included within Sample table |
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