| Literature DB >> 30234146 |
Marianna Vitiello1,2, Romina D'Aurizio3, Laura Poliseno1,2.
Abstract
In this short report, we pinpoint some technical and conceptual flaws that we found in the article entitled "miR-204-5p and miR-211-5p contribute to BRAF inhibitor resistance in melanoma" (Díaz-Martínez et al., Cancer Research 2018). We also discuss how, in our opinion, these flaws led Díaz-Martínez and colleagues to incorrect conclusions about the biological role that miR-204 and miR-211 play in melanoma and about the terms of their involvement in the phenomenon of resistance to BRAF inhibitors.Entities:
Keywords: BRAF inhibitors; melanoma; miR-204; miR-211; small RNA-seq
Year: 2018 PMID: 30234146 PMCID: PMC6142896 DOI: 10.18632/oncoscience.443
Source DB: PubMed Journal: Oncoscience ISSN: 2331-4737
Figure 1Low expression levels of miR-211 in A375 cells
(A-D) Expression levels of miR-204 and miR-211, as detected by small RNA sequencing in Díaz-Martínez et al., 2018 (A-B) and in our paper (Vitiello et al., 2017, (C-D)).
In A, the raw and normalized read counts (RC) of miR-204 and miR-211 are listed, as available at GSE107576. The log2FC reported in Supplementary Table 2 of Díaz-Martínez et al., 2018 are shown as well.
In B, the raw read counts of miR-204 and miR-211 were recalculated by us, starting from the raw reads available at GSE107576 and following the analytical steps described in Vitiello et al., 2017. For consistency with the analysis performed by Díaz-Martínez and colleagues, the match with known microRNAs (miRBase v.21) was subjected to 100% identity. The reads per million (RPM) and the log2FC are shown as well.
In C, the raw read counts of miR-204 and miR-211 are listed, as available at GSE94423. The RPM and the log2FC reported in Vitiello et al., 2017 are shown as well.
In order to better compare our data with the data produced by Díaz-Martínez and colleagues, in D we recalculated the raw read counts and RPM of miR-204 and miR-211, starting from the raw reads available at GSE94423 and following the same analytical steps as in B.
In both datasets, miR-204 and miR-211 show higher expression level in the resistant cells (A375-VR and A375 C2 vem) compared to A375 parental cells. However, the layout of the sequencing performed by us allows to appreciate that the most profound increase is the one shown by both microRNAs in A375 parental cells upon vemurafenib treatment.
Furthermore, both datasets indicate that miR-211 is expressed at very low level, much lower than that of miR-204 and even lower that that of miR-504, which Díaz-Martínez and colleagues did not prioritize for further analysis on the basis of this very reason. Contrary to Díaz- Martínez and colleagues, we decided to apply a threshold and consider only the microRNAs that we found expressed at > 100 reads in at least one experimental condition. Accordingly, we discarded miR-211 and focused only on miR-204.
The depths of the 2 small RNA sequencing are the following: Díaz-Martínez et al., 2018: 7.7million reads per sample on average; Vitiello et al., 2017: 23.3 million reads per sample on average.
(E) Dot plot of the normalized reads of the microRNAs identified in A375 cells (x axis) vs A375-VR cells (y axis) in Díaz-Martínez et al., 2018. The graph highlights that the distribution of microRNA expression levels in the two cell lines is overall very similar. It also shows that miR-504, and even more miR-211, belong to the tail of low expressed and highly scattered microRNAs (<100 normalized reads).
(F) List of additional publications in which the expression of TRPM1/miR-211 has been analyzed in A375 cells and found to be very low (much lower than that of TRPM3/miR-204) or even absent.
Figure 2Location of qRT-PCR primers used to detect TRPM1 (miR-211 host gene) and TRPM3 (miR-204 host gene)
For the detection of TRPM1 and TRPM3, we chose primers that are located in E6 and E7, which are the exons that flank the intron from which the microRNAs are expressed, while Díaz-Martínez and colleagues did not. In light of the fact that host genes are characterized by multiple isoforms, this strategy is considered the most accurate when the expression level of the mature microRNA and that of its host gene need to be correlated (Mikhaylova et al., 20121).
For a more detailed description of the location of TRPM1 and TRPM3 qRT-PCR primers, please refer to Supplementary information.
1Mikhaylova O, Stratton Y, Hall D, Kellner E, Ehmer B, Drew AF, Gallo CA, Plas DR, Biesiada J, Meller J and Czyzyk- Krzeska MF. VHL-regulated MiR-204 suppresses tumor growth through inhibition of LC3B-mediated autophagy in renal clear cell carcinoma. Cancer Cell. 2012; 21(4):532-546.