ArticleNucleic acids research2011
A global insight into a cancer transcriptional space using pancreatic data: importance, findings and flaws.
Article in Nucleic acids research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 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
27 citing papers in PubMed, 44 citations in OpenAlex.
- Self-amplifying NRF2-EZH2 epigenetic loop converts KRAS-initiated progenitors to invasive pancreatic cancer.Nature cancer · 2025Article
- Soft Modes as a Predictive Framework for Low-Dimensional Biological Systems Across Scales.Annual review of biophysics · 2025Review
- Soft Modes as a Predictive Framework for Low Dimensional Biological Systems across Scales.ArXiv · 2024Article
- Microenvironment-induced CREPT expression by cancer-derived small extracellular vesicles primes field cancerization.Theranostics · 2024Article
- An Exploration of Organoid Technology: Present Advancements, Applications, and Obstacles.Current pharmaceutical biotechnology · 2024Review
- Ultrasound-guided fine-needle aspiration/biopsy-based pancreatic organoids establishment: an alternative model for basic and preclinical research.Gastroenterology report · 2023Review
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- Gain-of-function p53Cell reports · 2021Article
- In pancreatic β-cells myosin 1b regulates glucose-stimulated insulin secretion by modulating an early step in insulin granule trafficking from the Golgi.Molecular biology of the cell · 2021Article
- Metabolic Profiling of Early and Late Recurrent Pancreatic Ductal Adenocarcinoma Using Patient-Derived Organoid Cultures.Cancers · 2020Article
- Tumor Cell-Derived IL1β Promotes Desmoplasia and Immune Suppression in Pancreatic Cancer.Cancer research · 2020Article
- Organoids from the Human Fetal and Adult Pancreas.Current diabetes reports · 2019Review
- Preclinical Modelling of PDA: Is Organoid the New Black?International journal of molecular sciences · 2019Review
- Silencing of DLEU2 suppresses pancreatic cancer cell proliferation and invasion by upregulating microRNA-455.Cancer science · 2019Article
- Ocoxin Oral Solution Exerts an Antitumoral Effect in Pancreatic Cancer and Reduces the Stromal-Mediated Chemoresistance.Pancreas · 2019Article
- Upcoming Revolutionary Paths in Preclinical Modeling of Pancreatic Adenocarcinoma.Frontiers in oncology · 2019Review
- RIP1 Kinase Drives Macrophage-Mediated Adaptive Immune Tolerance in Pancreatic Cancer.Cancer cell · 2018Article
- Pancreas 3D Organoids: Current and Future Aspects as a Research Platform for Personalized Medicine in Pancreatic Cancer.Cellular and molecular gastroenterology and hepatology · 2018Review
- mRNA expression profiles obtained from microdissected pancreatic cancer cells can predict patient survival.Oncotarget · 2017Article
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 1 institution in 1 country.
Funding
Abstract
Despite the increasing wealth of available data, the structure of cancer transcriptional space remains largely unknown. Analysis of this space would provide novel insights into the complexity of cancer, assess relative implications in complex biological processes and responses, evaluate the effectiveness of cancer models and help uncover vital facets of cancer biology not apparent from current small-scale studies. We conducted a comprehensive analysis of pancreatic cancer-expression space by integrating data from otherwise disparate studies. We found (i) a clear separation of profiles based on experimental type, with patient tissue samples, cell lines and xenograft models forming distinct groups; (ii) three subgroups within the normal samples adjacent to cancer showing disruptions to biofunctions previously linked to cancer; and (iii) that ectopic subcutaneous xenografts and cell line models do not effectively represent changes occurring in pancreatic cancer. All findings are available from our online resource for independent interrogation. Currently, the most comprehensive analysis of pancreatic cancer to date, our study primarily serves to highlight limitations inherent with a lack of raw data availability, insufficient clinical/histopathological information and ambiguous data processing. It stresses the importance of a global-systems approach to assess and maximise findings from expression profiling of malignant and non-malignant diseases.
Indexed as
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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.