ArticleFunctional & integrative genomics2025
Integrated Nanopore and short-read RNA sequencing identifies dysregulation of METTL3- m6A modifications in endocrine therapy- sensitive and resistant breast cancer cells.
Article in Functional & integrative genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- Regulation of PSAT1 and PHGDH by m6A in endocrine-resistant breast cancer cells.Biochimica et biophysica acta. Molecular basis of disease · 2026Article
- Nanopore direct RNA sequencing and the epitranscriptome: Advances in mapping native RNA landscapes.iMeta · 2026Review
- Dynamic modulation of N6-methyladenosine by ionizing radiation in human cells.Biochemistry and biophysics reports · 2026Article
- LncRNAs in Ovarian Cancer: Emerging Insights and Future Perspectives in Tumor Biology and Clinical Applications.Cancers · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
The role of epitranscriptomic changes in the development of acquired endocrine therapy (ET)- resistance in estrogen receptor α (ER) expressing breast cancer (BC) is unknown. We tested the hypothesis that inhibition of METTL3, the methyltransferase responsible for the mRNA modification N-6 methyladenosine (m6A), alters m6A modifications and differentially regulates the abundance of mRNA transcripts in ET-sensitive MCF-7 versus resistant LCC9 ER + human BC cells. Differential m6A modifications were identified using direct mRNA sequencing (DRS) performed on five replicates for each cell line ± 1 µM STM2457, a selective METTL3 inhibitor, using Nanopore MinION long read RNA-seq. Parallel short read Illumina RNA-seq quantified differential transcript abundance in the same samples. Selected results were validated by RT-qPCR, m6A-RIP-qPCR, reporter assays, and western blot analysis. Statistical analysis combined m6Anet, a machine-learning algorithm designed to call m6A modified bases, with a generalized linear model following a binomial distribution analysis to identify significant differential m6A modification ratios (DMR). Distinct METTL3 dependent m6A modification patterns in LCC9 and MCF-7 cells were observed in differentially expressed genes (DEG) associated with ET-resistance, including EEF1A2, ACTB, FLNA, PDIA6, AMIGO2, TPT1, XBP1, and CITED4. Select results were validated in additional ET-resistant BC cell lines. m6A-RIP-RT-qPCR validated specific m6A sites. We examined the proximity of m6A sites to estrogen receptor α (ER α)-mRNA binding sites reported in MCF-7 cells. ACTB, PDIA6, and XBP1 demonstrated a short-range proximity, with m6A sites located within 100 bp of ERα binding sites, suggesting a role for m6A in influencing ERα-mRNA binding. Our work provides a framework for integrating DRS and DEG omics data. Our results suggest a role for dysregulation of m6A modifications in pathways implicated in ET resistance in BC.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.