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Cancer Cell Int. 2018 Oct 11;18:157. doi: 10.1186/s12935-018-0652-6. eCollection 2018.

New insights into long noncoding RNAs and pseudogenes in prognosis of renal cell carcinoma.

Author information

1
Department of Urology, Affiliated Hospital of Jiangsu University, Jiangsu University, Zhenjiang, 212000 Jiangsu People's Republic of China.
2
Department of General Surgery, Affiliated Hospital of Jiangsu University, Jiangsu University, Zhenjiang, Jiangsu People's Republic of China.
3
3Department of Andrology, The First Affiliated Hospital of University of South China, No. 69 Chuan Shan Road, Hengyang, 421001 Hunan People's Republic of China.

Abstract

Background:

Increasing evidence suggests a critical role for long noncoding RNAs (LncRNAs) and pseudogenes in cancer. Renal cell carcinoma (RCC), the most common primary renal neoplasm, is highly aggressive and difficult to treat because of its resistance to chemotherapy and radiotherapy. Despite many identified LncRNAs and pseudogenes, few have been clearly elucidated.

Methods:

This study provides new insights into LncRNAs and pseudogenes in the prognosis of RCC. We searched an online database to interrogate alterations and clinical data on cBioPortal. We analysed LncRNA and pseudogene signatures to predict the prognosis of RCC based on a Cox model. We also found potential serum biomarkers of RCC and validated them in 32 RCC patients, as well as healthy controls.

Results:

Alterations were found in 2553 LncRNAs and 8901 pseudogenes and occurred in up to 23% of all cases. Among these, 27 LncRNAs and 45 pseudogenes were closely related to prognosis. We also identified signatures of LncRNAs and pseudogenes that can predict overall survival and recurrence of RCC. We then validated the relative levels of these LncRNAs and pseudogenes in the serum of 32 patients. Six of these, including LINC00520, PIK3CD-AS1, LINC01559, CEACAM22P, MSL3P1 and TREML3P, could be non-invasive biomarkers of RCC. Finally, we selected PIK3CD-AS1 to determine its role in RCC and found that upregulation of PIK3CD-AS1 was closely associated with higher tumour stage and metastasis.

Conclusions:

These signatures of LncRNAs and pseudogenes can predict overall survival and recurrence of RCC. LINC00520, PIK3CD-AS1, LINC01559, CEACAM22P, MSL3P1 and TREML3P could be non-invasive biomarkers of RCC. These data suggest the important roles of LncRNAs and pseudogenes in RCC, and therefore provides us new insights into the prognosis of RCC.

KEYWORDS:

Biomarker; Long noncoding RNA; Overall survival; PIK3CD-AS1; Pseudogenes; Recurrence; Renal cell carcinoma; Signature; cBioPortal

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