ArticleOncology reports2023
[Corrigendum] miR‑1299/NOTCH3/TUG1 feedback loop contributes to the malignant proliferation of ovarian cancer.
Article in Oncology reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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
1 citing paper in PubMed.
- Long noncoding RNA TUG1 promotes cisplatin resistance in ovarian cancer via upregulation of DNA polymerase eta.Cancer science · 2024Article
Corrections and comments
- Erratum for
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Following the publication of the above article, a concerned reader drew to the authors' attention that the data shown for the 'CAOV3/NC mimics' experiment in Fig. 2D on p. 443 appeared to be the same as that shown for the 'TUG1‑sh+miR‑1299 inhibitors' experiment in Fig. 4H on p. 444. The authors have examined their original data, and realize that the same data was inadvertently included in the two figures. Consequently, the corrected version of Fig. 2, featuring the correct data for the 'CAOV3/NC mimics' experiment in Fig. 2D, is shown opposite. The overall conclusions of this study were not affected by this error. All the authors agree to the publication of this corrigendum, and are grateful to the Editor of
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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 OpenQuestion graph.