ArticleMedical oncology (Northwood, London, England)2019
Mechanism of VIPR1 gene regulating human lung adenocarcinoma H1299 cells.
Article in Medical oncology (Northwood, London, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 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
20 citing papers in PubMed, 30 citations in OpenAlex.
- miR-4513 promotes the proliferation and metastasis of non-small cell lung cancer cells by targeting VIPR1.Hereditas · 2026Article
- Construction of a circRNA-miRNA-mRNA Regulatory Network for the Immune Regulation of Lung Adenocarcinoma.Biological procedures online · 2025Article
- Hypoxia-anoikis-related genes in LUAD: machine learning and RNA sequencing analysis of immune infiltration and therapy response.American journal of cancer research · 2025Article
- Construction of an immune-related gene prognostic model with experimental validation and analysis of immune cell infiltration in lung adenocarcinoma.Oncology letters · 2024Article
- Article
- A safety study on ultra‑high or moderate static magnetic fields combined with platycodin D against lung cancer.Oncology letters · 2023Article
- lncRNA-AC079061.1/VIPR1 axis may suppress the development of hepatocellular carcinoma: a bioinformatics analysis and experimental validation.Journal of translational medicine · 2022Article
- [VIPR1 promoter methylation promotes transcription factor AP-2Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2022Article
- MiR-96-5p Facilitates Lung Adenocarcinoma Cell Phenotypes by Inhibiting FHL1.Computational and mathematical methods in medicine · 2022Article
- Identification of Hub Genes of Lung Adenocarcinoma Based on Weighted Gene Co-Expression Network in Chinese Population.Pathology oncology research : POR · 2022Article
- Identification of the Diagnostic Biomarker VIPR1 in Hepatocellular Carcinoma Based on Machine Learning Algorithm.Journal of oncology · 2022Article
- Vasoactive intestinal peptide-VIPR2 signaling regulates tumor cell migration.Frontiers in oncology · 2022Article
- Intercellular Communication-Related Molecular Subtypes and a Gene Signature Identified by the Single-Cell RNA Sequencing Combined with a Transcriptomic Analysis.Disease markers · 2022Article
- Analysis of the tumor immune environment identifies an immune gene set-based prognostic signature in non-small cell lung cancer.Annals of translational medicine · 2022Article
- GOLM1 predicts poor prognosis of patients with NSCLC and is associated with the proliferation and chemo-sensitivity of cisplatin in NSCLC cells: bioinformatics analysis and laboratory validation.Journal of bioenergetics and biomembranes · 2021Article
- Novel immune subtypes of lung adenocarcinoma identified through bioinformatic analysis.FEBS open bio · 2020Article
- Analysis of expression differences of immune genes in non-small cell lung cancer based on TCGA and ImmPort data sets and the application of a prognostic model.Annals of translational medicine · 2020Article
- Identification of Key Genes in Lung Adenocarcinoma and Establishment of Prognostic Mode.Frontiers in molecular biosciences · 2020Article
- Identification and validation of the prognostic value of immune-related genes in non-small cell lung cancer.American journal of translational research · 2020Article
- The Combined Detection of Immune Genes for Predicting the Prognosis of Patients With Non-Small Cell Lung Cancer.Technology in cancer research & treatmentArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The vasoactive intestinal peptide receptor-1(VIPR1) has prominent growth effects on a number of common neoplasms. However, there were contradictions in the effect cross different cancers. We aimed to explore the effect of VIPR1 overexpression on a human lung adenocarcinoma cell line H1299. GEO dataset was used to screen differentially expressed genes in lung adenocarcinoma tissues. The expression of VIPR1 mRNA was determined in the cancer Genome Atlas (TCGA). Immunohistochemical analysis was performed to determine VIPR1 protein expression in lung adenocarcinoma and corresponding adjacent tissues (n = 22). Fluorescence real-time quantitative PCR detected the expression of VIPR1 in human normal lung epithelial cell line BEAS-2B and lung adenocarcinoma cell line H1299. Overexpression strategies were employed to assess functions of VIPR1 expression on several malignant phenotypes in H1299. The expression of VIPR1 was lower in lung adenocarcinoma tissues than that in adjacent tissues. Compared with the normal lung epithelial cells BEAS-2B, VIPR1 was down-regulated in lung cancer cells H1299 (P < 0.05). After the overexpression of VIPR1, we found that VIPR1 significantly inhibited growth, migration, and invasion of H1299 cells (P < 0.05). Our findings point out the tumor suppressor roles of VIPR1 in human LUAD pathogenesis.
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.