ArticleCancer cell international2020
Aging-related tumor associated fibroblasts changes could worsen the prognosis of GBM patients.
Article in Cancer cell international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 5 papers.
What it found
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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
5 citing papers in PubMed, 8 citations in OpenAlex.
- IFN-γ Triggered IFITM2 Expression to Induce Malignant Phenotype in Elderly GBM.Journal of molecular neuroscience : MN · 2023Article
- Identification of a Fibroblast-Related Prognostic Model in Glioma Based on Bioinformatics Methods.Biomolecules · 2022Article
- Identification and Validation of Aging-Related Genes in Idiopathic Pulmonary Fibrosis.Frontiers in genetics · 2022Article
- Article
- Development of an Aging-Related Gene Signature for Predicting Prognosis, Immunotherapy, and Chemotherapy Benefits in Rectal Cancer.Frontiers in molecular biosciences · 2021Article
Corrections and comments
- Retraction · 2021-04-09Duplication of/in Image · Unreliable Data · · Also has PMID:33836756;
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
Background: Glioblastoma multiforme (GBM) is the most malignant tumor in human brain, with highly heterogeneity among different patients. Age could function as an incidence and prognosis risk factor for many tumors. Method: A series of bioinformatic experiments were conducted to evaluate the differences of incidence, differential expressed genes, enriched pathways with the data from Surveillance, Epidemiology, and End Results (SEER) program, the cancer genome atlas (TCGA) and Chinese glioma genome atlas (CGGA) project. Results: We discovered in our present study that distinct difference of incidence and prognosis of different aged GBM patients. By a series of bioinformatic method, we found that the tumor associated fibroblasts (TAFs) was the most crucial tumor microenvironment (TME) component that led to this phenomenon. Epithelial-mesenchymal transition (EMT) could be the mechanism by which TAFs regulate the progression of GBM. Conclusion: We have proposed a close correlation between age and GBM incidence and prognosis, and propose the underlying mechanism behind this correlation by mining different databases, which laid the foundation for future research.
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Registered trials
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