SynthesisLung2015
Identification of Commonly Dysregulated Genes in Non-small-cell Lung Cancer by Integrated Analysis of Microarray Data and qRT-PCR Validation.
Synthesis in Lung, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 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
25 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.
- THBS2 is a Potential Prognostic Biomarker in Colorectal Cancer.Scientific reports · 2016Pooled it
- ADRB2 is regulated by TRIM22 and facilitates lung adenocarcinoma progression via JAK2/STAT3 signaling pathway.Scientific reports · 2025Article
- Tendomodulin in pan-cancer analysis: exploring its impact on immune modulation and uncovering functional insights in colorectal cancer.BMC cancer · 2025Article
- Multiplex plasma protein assays as a diagnostic tool for lung cancer.Cancer science · 2024Article
- Article
- Combination of RCA and DNAzyme for Dual-Signal Isothermal Amplification of Exosome RNA.Molecules (Basel, Switzerland) · 2023Article
- Estimation of hub genes and exploration of multi-omics level alterations in the landscape of lung adenocarcinoma.American journal of translational research · 2023Article
- Article
- The Gene Expression Landscape of Prostate Cancer BM Reveals Close Interaction with the Bone Microenvironment.International journal of molecular sciences · 2022Article
- A feature selection-based framework to identify biomarkers for cancer diagnosis: A focus on lung adenocarcinoma.PloS one · 2022Article
- The role of ADRB2 gene polymorphisms in malignancies.Molecular biology reports · 2021Review
- Article
- PenDA, a rank-based method for personalized differential analysis: Application to lung cancer.PLoS computational biology · 2020Article
- MicroRNAs Associated With Colon Cancer: New Potential Prognostic Markers and Targets for Therapy.Frontiers in bioengineering and biotechnology · 2020Article
- Survival-based bioinformatics analysis to identify hub genes and key pathways in non-small cell lung cancer.Translational cancer research · 2019Article
- Study of Gene Expression Profiles of Breast Cancers in Indian Women.Scientific reports · 2019Article
- Identification of hub genes and outcome in colon cancer based on bioinformatics analysis.Cancer management and research · 2019Article
- Caveolin-1 enhances brain metastasis of non-small cell lung cancer, potentially in association with the epithelial-mesenchymal transition marker SNAIL.Cancer cell international · 2019Article
- Identification of genes and pathways in esophageal adenocarcinoma using bioinformatics analysis.Biomedical reports · 2018Article
- COL1A1 promotes metastasis in colorectal cancer by regulating the WNT/PCP pathway.Molecular medicine reports · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundNon-small-cell lung cancer (NSCLC), the most common lung cancer, leads to the largest number of cancer-related deaths worldwide. There are many studies to identify the differentially expressed genes (DEGs) between NSCLC and normal control (NC) tissues by means of microarray technology. Because of the inconsistency of the microarray data sets, we performed an integrated analysis to identify DEGs and analyzed their biological function. METHODS AND
resultsWe combined 15 microarray data sets and identified 1063 DEGs between NSCLC and NC tissues; in addition, we found that the DEGs were enriched in regulation of cell proliferation process and focal adhesion signaling pathway. The protein-protein interaction network analysis for the top 20 significantly DEGs revealed that CAV1, COL1A1, and ADRB2 were the significant hub proteins. Finally, we employed qRT-PCR to validate the meta-analysis approach by determining the expression of the top 10 most significantly DEGs and found that the expression of these genes were significantly different between tumor and NC tissues, in accordance with the results of meta-analysis.
conclusionqRT-PCR results indicated that the meta-analysis approach in our study was acceptable. Our data suggested that some of the DEGs, including MMP12, COL11A1, THBS2, FAP, and CAV1, may participate in the pathology of NSCLC and could be applied as potential markers or therapeutic targets for NSCLC.
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.