In the published article, the References column was incorrect in Supplementary Table 1. The table has been updated in the original article supplementary material.
In the published article, Supplementary Table 2 was mistakenly not included in the publication. The table has been added to the original article supplementary material.
After publication of this article, it has come to the authors’ attention that the following referenced articles have been retracted. These references have been removed from the original article.
Chong L., Lingling S., Jiaying S. (2019). Circular RNA hsa_circ_0000467 modulates SGK1 to facilitate cell migration, metastasis, and EMT while repressing apoptosis in colorectal cancer by sponging miR-383-5p. RSC Adv. 9 39294–39303. 10.1039/c9ra07900a.
Fan H., Liu X., Zheng W. W., Zhuang Z. H., Wang C. D. (2017). MiR-150 alleviates EMT and cell invasion of colorectal cancer through targeting Gli1. Eur. Rev. Med. Pharmacol. Sci. 21 4853–4859.
Jin D., Guo J., Wu Y., Du J., Wang X., An J., et al. (2019). UBE2C, directly targeted by miR-548e-5p, increases the cellular growth and invasive abilities of cancer cells interacting with the EMT marker protein zinc finger E-box binding homeobox 1/2 in NSCLC. Theranostics 9 2036–2055. 10.7150/thno.32738.
Li R., Liu J., Qi J. (2020a). Knockdown of long non-coding RNA CCAT1 suppresses proliferation and EMT of human cervical cancer cell lines by down-regulating Runx2. Exp. Mol. Pathol. 113:104380. 10.1016/j.yexmp.2020.104380.
Li X., Wang S.-W., Xi-Ling L., Yu F.-Y., Cong H.-M. (2020c). Knockdown of long non-coding RNA TUG1 depresses apoptosis of hippocampal neurons in Alzheimer’s disease by elevating microRNA-15a and repressing ROCK1 expression. Inflamm. Res. 69 897–910. 10.1007/s00011-020-01364-8.
Li Z.-T., Zhang X., Wang D.-W., Xu J., Kou K.-J., Wang Z.-W., et al. (2020d). Overexpressed lncRNA GATA6-AS1 inhibits LNM and EMT via FZD4 through the Wnt/β-catenin signaling pathway in GC. Mol. Ther. Nucleic Acids 19 827–840. 10.1016/j.omtn.2019.09.034.
Lin X., Wang S., Sun M., Zhang C., Wei C., Yang C., et al. (2019). miR-195-5p/NOTCH2-mediated EMT modulates IL-4 secretion in colorectal cancer to affect M2-like TAM polarization. J. Hematol. Oncol. 12:20.
Liu S., Song L., Yao H., Zhang L., Xu D., Gao F., et al. (2016). MiR-375 is epigenetically downregulated by HPV-16 E6 mediated DNMT1 upregulation and modulates EMT of cervical cancer cells by suppressing lncRNA MALAT1. PLoS One 11:e0163460.
Liu W., Yang Y. J., An Q. (2020). LINC00963 promotes ovarian cancer proliferation, migration and EMT via the miR-378g/CHI3L1 Axis. Cancer Manag. Res. 12 463–473. 10.2147/cmar.s229083.
Sun J., Hu J., Wang G., Yang Z., Zhao C., Zhang X., et al. (2018). LncRNA TUG1 promoted KIAA1199 expression via miR-600 to accelerate cell metastasis and epithelial-mesenchymal transition in colorectal cancer. J. Exp. Clin. Cancer Res. 37:106.
Wang Z., Wang J., Wang K., Zhou Y., Wang J. (2020). LncRNA FEZF1-AS1 promoted chemoresistance, autophagy and epithelial-mesenchymal transition (EMT) through regulation of miR-25-3p/ITGB8 axis in prostate cancer. Eur. Rev. Med. Pharmacol. Sci. 24 2281–2293.
Wu K., Li L., Li L., Wang D. (2020). Long non-coding RNA HAL suppresses the migration and invasion of serous ovarian cancer by inhibiting EMT signaling pathway. Biosci. Rep. 40:BSR20194496.
Xu W., Sun X., Zang C., Jiang Y. (2020). lncRNA SNHG7 promotes tumorigenesis of nasopharyngeal carcinoma via epithelial-to-mesenchymal transition. Oncol. Lett. 19 2721–2726.
Yang F., Shao C., Wei K., Jing X., Qin Z., Shi Y., et al. (2019). miR-942 promotes tumor migration, invasion, and angiogenesis by regulating EMT via BARX2 in non-small-cell lung cancer. J. Cell Physiol. 234 23596–23607. 10.1002/jcp.28928.
Yang T., He X., Chen A., Tan K., Du X. (2018). LncRNA HOTAIR contributes to the malignancy of hepatocellular carcinoma by enhancing epithelial-mesenchymal transition via sponging miR-23b-3p from ZEB1. Gene 670 114–122. 10.1016/j.gene.2018.05.06.
Zhou X., Men X., Zhao R., Han J., Fan Z., Wang Y., et al. (2018). miR-200c inhibits TGF-beta-induced-EMT to restore trastuzumab sensitivity by targeting ZEB1 and ZEB2 in gastric cancer. Cancer Gene Ther. 25 68–76. 10.1038/s41417-017-0005-y.
A correction has been made to Introduction, miRNAs in EMT, Paragraph 1. This sentence previously stated:
“In this type of cancer, miR-145-5p, miR-383-5p, miR-3622a-3p, miR-205 and miR-200b inhibit EMT process through targeting CDCA3, SGK1, SALL4, MDM4 and HIF-1α, respectively (Shang et al., 2017; Chong et al., 2019; Chang et al., 2020; Chen et al., 2020; Fan and Wang, 2020).”
The corrected sentence appears below:
“In colorectal cancer, miR-145-5p, miR-3622a-3p, miR-205 and miR-200b inhibit EMT through targeting CDCA3, SALL4, MDM4 and HIF-1α, respectively (Shang et al., 2017; Chang et al., 2020; Chen et al., 2020a; Fan and Wang 2020).”
A correction has been made to Introduction,lncRNAs in EMT, Paragraph 1. The section previously included the following sentences:
“CCAT1 is an oncogenic lncRNA in cervical cancer cells whose silencing has blocked proliferation, migratory potential, invasiveness and EMT process in these cells. CCAT1 silencing has led to downregulation of Runx2 and suppression of PI3K/AKT signaling in cervical cancer cells PI3K/AKT signal (Li et al., 2020a). HAL is a downregulated lncRNA in serous ovarian cancer tissues and cells. Upregulation of HAL has suppressed invasive potential of these cells and enhanced their apoptosis. HAL has been shown to directly suppress expression of TWIST1. Functional studies has highlighted the role of HAL in regulation of EMT (Wu K. et al., 2020). In ovarian cancer, LINC00963, TC0101441, CCAT1 and PTAR promote EMT through modulation of miR-378g, KiSS1, miR-490-3p and miR-101-3p, respectively (Liang et al., 2018; Mu et al., 2018; Liu et al., 2020; Qiu et al., 2020).”
The corrected sentence appears below:
“In ovarian cancer, TC0101441, CCAT1 and PTAR promote EMT through modulation of KiSS1, miR-490-3p and miR-101-3p, respectively (Liang et al., 2018; Mu et al., 2018; Qiu et al., 2020).”
A correction has been made to Introduction, lncRNAs in EMT, Paragraph 2. This sentence previously stated:
“Over-expression of LINC00963, FLVCR1-AS1 and LINC00261 has been associated with poor overall survival rate of patients with neoplasm (Yan et al., 2019; Gao et al., 2020; Liu et al., 2020).”
The corrected sentence appears below:
“Over-expression of FLVCR1-AS1 and LINC00261 has been associated with poor overall survival rate of patients with neoplasm (Yan et al., 2019; Gao et al., 2020).”
In the published article, there was an error in Tables 1, 2 as published. These tables cited four retracted articles that should be removed (Lin et al., 2019; Jin et al., 2019; Liu et al., 2020; Sun et al., 2018). The corrected Tables 1, 2 and their captions appear below.
TABLE 1
| Sample number | Kaplan-Meier analysis | References |
|---|---|---|
| 70 pairs of LC and ACTs | High miR-200c-3p expression was linked with longer survival | Wang H. Y. et al. (2020) |
| 179 pairs of LC and ACTs | High expression of miR-616-5p was linked with poor overall survival | Shi et al. (2017) |
| 49 pairs of LC and ACTs | Decreased miR-874 expression was linked with poor prognosis | Wang S. et al. (2020) |
| 47 pairs of OC and ACTs | Decreased miR-99a expression in was linked with poor prognosis | Zhang L. et al. (2019) |
| 51 pairs of BC and ACTs | Decreased miR-92b expression was linked with poor prognosis | Li Y. Y. et al. (2019) |
| 60 pairs of BC and ACTs | Decreased miR-516a-3p expression was linked with poor prognosis | Chi et al. (2019) |
| 117 pairs of BLC and ACTs | Decreased miR-221expression was linked with poor prognosis | Li F. et al. (2019) |
| 300 pairs of CRC and ACTs | Decreased miR-330 expression was linked with poor prognosis | Mansoori et al. (2020) |
| 80 pairs of CRC and ACTs | High expression of miR-3622a-3p was linked with better overall survival | Chang et al. (2020) |
| 4 pairs of CRC and ACTs | Decreased miR-598 expression was linked with poor prognosis | Wang Y. et al. (2017) |
| 93 pairs of BC and ACTs | Higher expression of miR-365-3p was linked with better overall survival | Gao and Tian (2020) |
| Breast cancer | Higher expression of miR-335 was linked with poor overall survival | Chen et al. (2019) |
| 157 pairs of PaC and ACTs | Decreased miR-3656 expression was linked with poor prognosis | Yang R. M. et al. (2017) |
| 36 OC tissues and 14 normal ovarian tissue | Decreased miR-195-5p expression was linked with poor prognosis | Dong S. et al. (2019) |
| 35 pairs of GC and ACTs | Decreased miR-125a-5p expression was linked with poor prognosis | Wang X. et al. (2019) |
| 52 pairs of CC and ACTs | Decreased miR-31-3p expression was linked with poor prognosis | Jing et al. (2019) |
| 20 pairs of PCa and ACTs | Decreased miR-33a-5p expression was linked with poor prognosis | Dai Y. et al. (2019) |
| 30 pairs of PCa and ACTs | High expression of miR-199b-5p was linked with poor prognosis | Zhao et al. (2019) |
| 52 pairs of PCa and ACTs | High expression of miR-210-3p was linked with poor prognosis | Ren et al. (2017) |
| 60 pairs of OC and ACTs | High expression of miR-1228 was linked with poor prognosis | Du L. et al. (2020) |
| 36 pairs of tumor specimens and adjacent normal specimens | High expression of miR-127 was linked with poor prognosis | Shi et al. (2017) |
| 20 pairs of RCC and ACTs | High expression of miR-452-5p was linked with poor prognosis | Zhai et al. (2018) |
| 36 pairs of GBC and ACTs | Decreased miR-143-5p expression was linked with poor prognosis | Taheri et al. (2017) |
Prognostic roles of EMT-associated miRNAs in cancer (ACT: adjacent control tissue).
TABLE 2
| Sample number | Area under curve | Sensitivity | Specificity | Kaplan-Meier analysis | Multivariate cox regression | References |
|---|---|---|---|---|---|---|
| 50 pairs of SOC and ACTs | — | — | — | High expression of FLVCR1-AS1 was linked with poor OS | High expression of FLVCR1-AS1 was associated with lymphatic metastasis and distant metastasis | Yan et al. (2019) |
| 50 pairs of CCA and ACTs | — | — | — | High expression of LINC00261 was linked with poor OS | High expression of LINC00261 was associated with large tumor size, positive lymph node metastasis, advanced TNM stages, and higher postoperative recurrence | Gao et al. (2020) |
| 76 pairs of GC and ACTs | — | — | — | High expression of TP73-AS1 was linked with poor OS | High expression of TP73-AS1 was associated with depth of invasion and TNM stages | Zhang et al. (2018c) |
| 18 pairs of GC and ACTs | — | — | — | Low expression of HRCEG was linked with poor OS | — | Wu Q. et al. (2020) |
| 162 pairs of GC and ACTs | — | — | — | High expression of SNHG7 was linked with poor OS | High expression of SNHG7 was associated with TNM stage, depth of invasion, lymph-node metastasis, and distant metastasis | Wu S. et al. (2020) |
| 84 pairs of GC and ACTs | — | — | — | High expression of HCP5 was linked with poor OS | High expression of HCP5 was associated with the size of the tumor, lymph nodes metastasize, and the severity of the disease | Zhang et al. (2020) |
| 78 pairs of GC and ACTs | — | — | — | High expression of SNHG6 was linked with poor OS | High expression of SNHG6 was associated with invasion depth, lymph node metastasis, distant metastasis, and TNM stage | Yan et al. (2017) |
| 92 pairs of CRC and ACTs | — | — | — | High expression of HIF1A-AS2 was linked with poor OS | High expression of HIF1A-AS2 was associated with TNM stages | Lin et al. (2018) |
| 338 pairs of CRC and ACTs | — | — | — | High expression of SNHG1 was linked with poor OS | — | Bai et al. (2020) |
| 124 pairs of CRC and ACTs | — | — | — | High expression of PANDAR was linked with poor OS | High expression of PANDAR was associated with tumor diameter, histological differentiation, TNM stage, lymph node metastasis, depth of invasion | Lu et al. (2017) |
| 82 pairs of BC and ACTs | — | — | — | High expression of TP73-AS1 was linked with poor OS | — | Ding et al. (2019) |
| TCGA database | — | — | — | High expression of PVT1 was linked with poor OS | — | Chang et al. (2018) |
| 40 pairs of HC and ACTs | — | — | — | High expression of SNHG7 was linked with poor OS | — | Yao et al. (2019) |
| 134 pairs of HCC and ACTs | — | — | — | High expression of SBF2-AS1 was linked with poor OS | High expression of SBF2-AS1was associated with vein invasion and TNM stage | Zhang et al. (2018e) |
| 54 pairs of HCC and ACTs | — | — | — | High expression of LOC105372579 was linked with poor OS | High expression of LOC105372579 was associated with tumor size and TNM stage | Changyong et al. (2019) |
| HCC tissues (n = 38), normal liver tissues (n = 21) |
— | — | — | High expression of HULC was linked with poor OS | High expression of HULC was associated with clinical stage and intrahepatic metastases | Li et al. (2016) |
| 76 pairs of HCC and ACTs | — | — | — | High expression of HOXA-AS3 was linked with poor OS | — | Tong et al. (2019) |
| 76 pairs of OSCC and ACTs | — | — | — | High expression of ADAMTS9-AS2 was linked with poor OS | High expression of ADAMTS9-AS2 was associated with tumor size, clinical stage, and lymph node metastasis | Li Y. et al. (2019) |
| 123 OSCC tissues and 50 adjacent non-tumor tissues | — | — | — | High expression of H19 was linked with poor OS | — | Zhang et al. (2017a) |
| 128 pairs of BLC and ACTs | — | — | — | High expression of TP73-AS1 was linked with poor OS and PSF rates | — | Tuo et al. (2018) |
| 48 pairs of NPC and ACTs | — | — | — | High expression of TUG1 was linked with poor OS | — | Qian et al. (2019) |
| 42 pairs of BLC and ACTs | — | — | — | High expression of NRON was linked with poor OS | High expression of NRON was associated with tumor invasion depth | Xiong et al. (2020) |
| 30 pairs of OS and ACTs | — | — | — | High expression of PCAT1 was linked with poor OS. | High expression of PCAT1 was associated with advanced clinical-stage and tumor metastasis | Zhang et al. (2018d) |
| 305 pairs of LUAD and ACTs | — | — | — | High expression of H19 was linked with poor OS | High expression of H19 was associated with tumor diameter and TNM stage | Liu et al. (2019) |
| 107 pairs of LUAD and ACTs | — | — | — | High expression of TTN-AS1 was linked with poor OS | High expression of TTN-AS1 was associated with TNM stage and lymph node involvement | Jia et al. (2019) |
| 50 pairs of NSCLC and ACTs | — | — | — | Low expression of NBR2 was linked with poor OS rate | — | Gao et al. (2019) |
| 86 pairs of NSCLC and ACTs | — | — | — | High expression of FEZF1-AS1 was linked with poor OS | High expression of FEZF1-AS1 was associated with lymph node metastasis, poor differentiation grade, and advanced TNM stage | He et al. (2017) |
| 55 pairs of ESCC and ACTs | 0.858 | 69.7% | 91.3% | Low expression of GHET1 was linked with poor OS | High expression of GHET1 was associated with lymph node metastasis, differentiation, and TNM stage | Liu H. et al. (2017) |
| 25 pairs of RCC and ACTs | — | — | — | High expression of PVT1 was linked with poor OS | High expression of PVT1 was associated with TNM stage, fuhrman grade, lymph node involvement, and tumor dimension | Ren et al. (2019) |
Diagnostic and prognostic role of EMT-associated lncRNAs in cancer (ACTs: adjacent control tissues, OS: overall survival).
The authors apologize for these errors and state that these do not change the scientific conclusions of the article in any way. The original article has been updated.
Statements
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Summary
Keywords
lncRNA, miRNA, epithelial to mesenchymal transition, expression, biomarker
Citation
Hussen BM, Shoorei H, Mohaqiq M, Dinger ME, Hidayat HJ, Taheri M and Ghafouri-Fard S (2024) Corrigendum: The impact of non-coding RNAs in the epithelial to mesenchymal transition. Front. Mol. Biosci. 11:1524742. doi: 10.3389/fmolb.2024.1524742
Received
08 November 2024
Accepted
19 November 2024
Published
11 December 2024
Volume
11 - 2024
Edited and reviewed by
André P. Gerber, University of Surrey, United Kingdom
Updates
Copyright
© 2024 Hussen, Shoorei, Mohaqiq, Dinger, Hidayat, Taheri and Ghafouri-Fard.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Mohammad Taheri, mohammad_823@yahoo.com; Soudeh Ghafouri-Fard, s.ghafourifard@sbmu.ac.ir
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.