ArticleMolecular medicine reports2017
Bioinformatics analyses of the differences between lung adenocarcinoma and squamous cell carcinoma using The Cancer Genome Atlas expression data.
Article in Molecular medicine reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 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
19 citing papers in PubMed, 25 citations in OpenAlex.
- Article
- SNCA Overexpression Induces Apoptosis in Non-Small Cell Lung Cancer via Caspase-Dependent Signaling Pathways.BioMed research international · 2026Article
- Stage- and smoking-associated microRNA expression in lung adenocarcinoma.Translational lung cancer research · 2025Article
- Plasma Small Extracellular Vesicle microRNAs as Non-Invasive Biomarkers for Lung Cancer Detection.International journal of nanomedicine · 2025Article
- A comprehensive in silico analysis and experimental validation of miRNAs capable of discriminating between lung adenocarcinoma and squamous cell carcinoma.Frontiers in genetics · 2024Article
- Expression Profiles of Hypoxia-Related Genes of Cancers Originating from Anatomically Similar Locations Using TCGA Database Analysis.Medicines (Basel, Switzerland) · 2023Article
- LncRNA FAM138B inhibits the progression of non-small cell lung cancer through miR-105-5p.Cell cycle (Georgetown, Tex.) · 2023Article
- Precise pathological classification of non-small cell lung adenocarcinoma and squamous carcinoma based on an integrated platform of targeted metabolome and lipidome.Metabolomics : Official journal of the Metabolomic Society · 2021Article
- An integrated model ofAnnals of translational medicine · 2021Article
- MicroRNA-22 contributes to dexamethasone-induced osteoblast differentiation inhibition and dysfunction through targeting caveolin-3 expression in osteoblastic cells.Experimental and therapeutic medicine · 2021Article
- Sodium hydrosulfide alleviates dexamethasone-induced cell senescence and dysfunction through targeting the miR-22/sirt1 pathway in osteoblastic MC3T3-E1 cells.Experimental and therapeutic medicine · 2021Article
- Extracting a biologically latent space of lung cancer epigenetics with variational autoencoders.BMC bioinformatics · 2019Article
- Simulated microgravity with floating environment promotes migration of non-small cell lung cancers.Scientific reports · 2019Article
- Penalized integrative semiparametric interaction analysis for multiple genetic datasets.Statistics in medicine · 2019Article
- Molecular and Morphological Profiling of Lung Cancer: A Foundation for "Next-Generation" Pathologists and Oncologists.Cancers · 2019Review
- Identification of cancer omics commonality and difference via community fusion.Statistics in medicine · 2019Article
- An immunogenic NSCLC microenvironment is associated with favorable survival in lung adenocarcinoma.Oncotarget · 2019Article
- Differentially mutated subnetworks discovery.Algorithms for molecular biology : AMB · 2019Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The present study aimed to explore gene and microRNA (miRNA) expression differences between lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC). Differentially expressed genes (DEGs) and differentially expressed miRNAs (DEMs) were identified by analyzing mRNA and miRNA expression data in normal and cancerous lung tissues that were obtained from The Cancer Genome Atlas database. A total of 778 DEGs and 7 DEMs were identified. Altered gene functions and signaling pathways were investigated using Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses, which revealed that DEGs were significantly enriched in extracellular matrix organization, cell differentiation, negative regulation of toll signaling pathway, and several other terms and pathways. Transcription factor (TF)‑miRNA‑gene networks in LUAD and LUSC were predicted using the TargetScan, Miranda, and TRANSFAC databases, which revealed the regulatory links among the TFs, DEMs, and DEGs. The central TFs, i.e., the TFs in the middle of the TF‑miRNA‑gene network, of LUAD and LUSC were similar. Although LUAD and LUSC shared similar miRNAs in the predicted networks, miR‑29b‑3p was demonstrated to be upregulated only in LUAD, whereas miR‑1, miR‑105‑5p, and miR‑193b‑5p were altered in LUSC. These findings may improve our understanding of the different molecular mechanisms in non‑small cell lung cancers and may promote new and accurate strategies for prevention, diagnosis, and treatment.
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.