Journal of Oncology

Journal of Oncology / 2019 / Article

Corrigendum | Open Access

Volume 2019 |Article ID 4757046 | 1 page | https://doi.org/10.1155/2019/4757046

Corrigendum to “Prognostic Effect of Long Noncoding RNA NEAT1 Expression Depends on p53 Mutation Status in Cancer”

Received24 Jul 2019
Accepted24 Jul 2019
Published07 Aug 2019

In the article titled “Prognostic Effect of Long Noncoding RNA NEAT1 Expression Depends on p53 Mutation Status in Cancer” [1], there was an error in the Results section. In the third paragraph, the sentence “Although total RNA was treated with oligo dT to select for polyadenylated mRNAs in the RNA-seq protocol used to obtain TCGA data, the NEAT1_2 sequence includes five consecutive T repeats, with at least ten repeats (maximum: 17)” should be corrected to “Although total RNA was treated with oligo dT to select for polyadenylated mRNAs in the RNA-seq protocol used to obtain TCGA data, the NEAT1_2 sequence includes five consecutive A repeats, with at least ten repeats (maximum: 22).”

References

  1. M. Idogawa, H. Nakase, Y. Sasaki, and T. Tokino, “Prognostic effect of long noncoding RNA NEAT1 expression depends on p53 mutation status in cancer,” Journal of Oncology, vol. 2019, Article ID 4368068, 7 pages, 2019. View at: Publisher Site | Google Scholar

Copyright © 2019 Masashi Idogawa et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


More related articles

391 Views | 191 Downloads | 0 Citations
 PDF  Download Citation  Citation
 Download other formatsMore
 Order printed copiesOrder

Related articles

We are committed to sharing findings related to COVID-19 as quickly and safely as possible. Any author submitting a COVID-19 paper should notify us at help@hindawi.com to ensure their research is fast-tracked and made available on a preprint server as soon as possible. We will be providing unlimited waivers of publication charges for accepted articles related to COVID-19. Sign up here as a reviewer to help fast-track new submissions.