ArticleTranslational cancer research2024
Neuroepithelial cell transforming 1 as a key regulator in non-small cell lung cancer: unveiling causal links and therapeutic potentials.
Article in Translational cancer research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.
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
1 citing paper in PubMed.
- Erratum: Neuroepithelial cell transforming 1 as a key regulator in non-small cell lung cancer: unveiling causal links and therapeutic potentials.Translational cancer research · 2025Article
Corrections and comments
- Erratum issued
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: High incidence and mortality rates underscore lung cancer as a significant global health issue. Understanding the molecular mechanisms driving its progression is crucial for developing effective treatments. This study explores a potential molecular regulator that may contribute to the progression of non-small cell lung cancer (NSCLC) by utilizing bioinformatics analyses and laboratory experiments, aiming to provide insights that could inform future therapeutic strategies. Methods: Our research combined single-cell RNA sequencing (scRNA-seq) data analysis with the Mendelian randomization (MR) algorithm. MR analysis using genetic variants associated with NSCLC risk aimed to uncover causal relationships between genes and cancer traits. To validate the impact of neuroepithelial cell transforming 1 ( Results: ScRNA-seq exposed cellular diversity in non-malignant lungs and tumors. Distinct expression patterns in epithelial cells and identified gene pathways pointed to cell proliferation. Conclusions: Our findings confirm
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.