ArticleCancer biology & therapy2018
Embryonic stem cell secreted factors decrease invasiveness of triple-negative breast cancer cells through regulome modulation.
Article in Cancer biology & therapy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed, 6 citations in OpenAlex.
- Dysregulation of Transglutaminase type 2 through GATA3 defines aggressiveness and Doxorubicin sensitivity in breast cancer.International journal of biological sciences · 2022Article
- Article
- Extracellular Vesicles (Secretomes) from Human Trophoblasts Promote the Regeneration of Skin Fibroblasts.International journal of molecular sciences · 2021Article
- Cellular contractile forces are nonmechanosensitive.Science advances · 2020Article
- Biomaterial Scaffolds Recruit an Aggressive Population of Metastatic Tumor CellsCancer research · 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
9 authors at 2 institutions in 1 country.
Funding
Abstract
Stem cell microenvironments decrease the invasiveness of cancer cells, and elucidating the mechanisms associated with disease regression could further the development of targeted therapies for aggressive cancer subtypes. To this end, we applied an emerging technology, TRanscriptional Activity CEll aRray (TRACER), to investigate the reprogramming of triple-negative breast cancer (TNBC) cells in conditions that promoted a less aggressive phenotype. The repressive environment was established through exposure to mouse embryonic stem cell conditioned media (mESC CM). Assessment of carcinogenic phenotypes indicated that mESC CM exposure decreased proliferation, invasion, migration, and stemness in TNBC cells. Protein expression analysis revealed that mESC CM exposure increased expression of the epithelial protein E-cadherin and decreased the mesenchymal protein MMP9. Gene expression analysis showed that mESC CM decreased epithelial to mesenchymal transition (EMT) markers fibronectin, vimentin, and Snail. Over a period of 6 d, TRACER quantified changes in activity of 11 transcription factors (TFs) associated with oncogenic progression. The EMT profile was decreased in association with the activity of 7 TFs (Smad3, NF-κΒ, MEF2, GATA, Hif1, Sp1, and RXR). Further examination of Smad3 and GATA expression and phosphorylation revealed that mESC CM exposure decreased noncanonical Smad3 phosphorylation and Smad3-mediated gene expression, increased GATA3 expression and phosphorylation, and resulted in a synergistic decrease in migration of GATA3 overexpressing MDA-MB-231 cells. Collectively, the application of TRACER to examine TF activity associated with the transition of cancer cells to a less aggressive phenotype, as directed by mESC CM, identified novel mechanistic events linking the embryonic microenvironment to both favorable changes and cellular plasticity in TNBC cell phenotypes.
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.