ArticleOncology letters2018
Expression of metastasis-associated lung adenocarcinoma transcript 1 long non-coding RNA
Article in Oncology letters, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.
- Pooled it
- TRNAU1AP and PRPF39 establish integrated control over processing of most abundant human non-coding RNAs.Nature communications · 2026Article
- MALAT1 as a molecular driver of tumor progression, immune evasion, and resistance to therapy.Molecular cancer · 2025Review
- Identification of human pathways acting on nuclear non-coding RNAs using the Mirror forward genetic approach.Nature communications · 2025Article
- Single-Cell Sequencing Reveals PD-L1-Mediated Immune Escape Signaling in Lung Adenocarcinoma.Journal of Cancer · 2025Article
- Association of long noncoding RNA MALAT1 with the radiosensitivity of lung adenocarcinoma cells via the miR-140/PD-L1 axis.Heliyon · 2023Article
- Research progress regarding long-chain non-coding RNA in lung cancer: a narrative review.Journal of thoracic disease · 2022Review
- Novel Insights IntoFrontiers in oncology · 2021Review
- LncRNAs as Therapeutic Targets and Potential Biomarkers for Lipid-Related Diseases.Frontiers in pharmacology · 2021Review
- Long Non-Coding RNA Associated with Cholesterol Homeostasis and Its Involvement in Metabolic Diseases.International journal of molecular sciences · 2020Review
- Evaluation of expression of vitamin D receptor related lncRNAs in lung cancer.Non-coding RNA research · 2020Article
- Exosomal Long Non-Coding RNAs in Lung Diseases.International journal of molecular sciences · 2020Review
- Genetic Variants of lncRNAJournal of clinical medicine · 2019Article
- Long non‑coding RNAs in lung cancer: Regulation patterns, biologic function and diagnosis implications (Review).International journal of oncology · 2019Review
- MALAT1: a potential biomarker in cancer.Cancer management and research · 2018Review
- Identification of Candidate Biomarkers Correlated With the Pathogenesis and Prognosis of Non-small Cell Lung Cancer via Integrated Bioinformatics Analysis.Frontiers in genetics · 2018Article
- LncRNA MALAT1 contributes to non-small cell lung cancer progression via modulating miR-200a-3p/programmed death-ligand 1 axis.International journal of immunopathology and pharmacologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The present study aimed to investigate the association between the expression of metastasis-associated lung adenocarcinoma transcript 1 (MALAT1) long non-coding RNA (lncRNA) and the recurrence of non-small cell lung cancer (NSCLC) and to elucidate the potential mechanisms of MALAT1
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.