ReviewStem cell reviews and reports2019
Integrative Analysis of CD133 mRNA in Human Cancers Based on Data Mining.
Review in Stem cell reviews and reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed, 8 citations in OpenAlex.
- Lung Cancer Stem Cell Markers as Therapeutic Targets: An Update on Signaling Pathways and Therapies.Frontiers in oncology · 2022Review
- Dysregulation of Pseudogenes/lncRNA-Hsa-miR-1-3p-PAICS Pathway Promotes the Development of NSCLC.Journal of oncology · 2022Article
- Article
- Role of OCT4 in cancer stem-like cells and chemotherapy resistance.Biochimica et biophysica acta. Molecular basis of disease · 2020Review
- Cancer Stem Cells-Origins and Biomarkers: Perspectives for Targeted Personalized Therapies.Frontiers in immunology · 2020Review
- Qingyihuaji formula reverses gemcitabine resistant human pancreatic cancer through regulate lncRNA AB209630/miR-373/EphB2-NANOG signals.Bioscience reports · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
CD133 is a wildly used cancer stem cell marker. The purpose of this study was to explore the significance of CD133 mRNA in human cancers mainly based on The Cancer Genome Atlas (TCGA) database. Bioinformatic analyses were done by using public repositories, including BioGPS, SAGE Genie tools, Oncomine analysis, Regulome Explorer, COSMIC analysis, and Kaplan-Meier Plotter. The main findings in this study were: 1) High CD133 mRNA was correlated with a benign survival rate of gastric cancer and lung cancer; 2) Transmembrane protein 125 (TMEM125) in bladder urothelial carcinoma and intercellular adhesion molecule 2 (ICAM2) in ovarian serous cystadenocarcinoma were closely related to CD133 expression; 3) The location and the topological structure of CD133 protein were not determined by its transcript variant in cancer cells; 4) CD38 and CD200 may be used as novel surface markers for solid cancers. However, the mechanism of these findings is not completely clear, further studies have to be performed in the future.
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.