ArticleInternational journal of cancer2014
Gene expression profile of A549 cells from tissue of 4D model predicts poor prognosis in lung cancer patients.
Article in International journal of cancer, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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
18 citing papers in PubMed.
- Preclinical screening models in anticancer drug development: strengths, limitations, and translational challenges.Frontiers in pharmacology · 2026Review
- Article
- Clinical Application Perspectives of Lung Cancers 3D Tumor Microenvironment Models for In Vitro Cultures.International journal of molecular sciences · 2022Review
- Transcriptional activators YAP/TAZ and AXL orchestrate dedifferentiation, cell fate, and metastasis in human osteosarcoma.Cancer gene therapy · 2021Article
- Human-scale lung regeneration based on decellularized matrix scaffolds as a biologic platform.Surgery today · 2020Review
- PI4KIIIβ is a therapeutic target in chromosome 1q-amplified lung adenocarcinoma.Science translational medicine · 2020Article
- Acellular and Cellular Lung Model to Study Tumor Metastasis.Journal of visualized experiments : JoVE · 2018Article
- Reconstituting Mouse Lungs with Conditionally Reprogrammed Human Bronchial Epithelial Cells.Tissue engineering. Part A · 2018Article
- 3D-cultivation of NSCLC cell lines induce gene expression alterations of key cancer-associated pathways and mimicOncotarget · 2017Article
- SR 11302, an AP-1 Inhibitor, Reduces Metastatic Lesion Formation in Ex Vivo 4D Lung Cancer Model.Cancer microenvironment : official journal of the International Cancer Microenvironment Society · 2017Article
- Thy-1Scientific reports · 2017Article
- Establishment and evaluation of four different types of patient-derived xenograft models.Cancer cell international · 2017Article
- Article
- Expression of Progesterone Receptor Membrane Component 1 (PGRMC1), Progestin and AdipoQ Receptor 7 (PAQPR7), and Plasminogen Activator Inhibitor 1 RNA-Binding Protein (PAIRBP1) in Glioma Spheroids In Vitro.BioMed research international · 2016Article
- VEGF drives cancer-initiating stem cells through VEGFR-2/Stat3 signaling to upregulate Myc and Sox2.Oncogene · 2015Article
- Ex vivo four-dimensional lung cancer model mimics metastasis.The Annals of thoracic surgery · 2015Article
- Circulating tumor cells from 4D model have less integrin beta 4 expression.The Journal of surgical research · 2015Article
- Identification of Gene Biomarkers for Distinguishing Small-Cell Lung Cancer from Non-Small-Cell Lung Cancer Using a Network-Based Approach.BioMed research international · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
The tumor microenvironment plays an important role in regulating cell growth and metastasis. Recently, we developed an ex vivo lung cancer model (four dimensional, 4D) that forms perfusable tumor nodules on a lung matrix that mimics human lung cancer histopathology and protease secretion pattern. We compared the gene expression profile (Human OneArray v5 chip) of A549 cells, a human lung cancer cell line, grown in a petri dish (two-dimensional, 2D), and of the same cells grown in the matrix of our ex vivo model (4D). Furthermore, we obtained gene expression data of A549 cells grown in a petri dish (2D) and matrigel (three-dimensional, 3D) from a previous study and compared the 3D expression profile with that of 4D. Expression array analysis showed 2,954 genes differentially expressed between 2D and 4D. Gene ontology (GO) analysis showed upregulation of several genes associated with extracellular matrix, polarity and cell fate and development. Moreover, expression array analysis of 2D vs. 3D showed 1,006 genes that were most differentially expressed, with only 36 genes (4%) having similar expression patterns as observed between 2D and 4D. Finally, the differential gene expression signature of 4D cells (vs. 2D) correlated significantly with poor survival in patients with lung cancer (n = 1,492), while the expression signature of 3D vs. 2D correlated with better survival in lung cancer patients with lung cancer. As patients with larger tumors have a worse rate of survival, the ex vivo 4D model may be a good mimic of natural progression of tumor growth in lung cancer patients.
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.