ArticleScientific reports2021
Transcriptional landscape of cellular networks reveal interactions driving the dormancy mechanisms in cancer.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed, 12 citations in OpenAlex.
- Dormancy exit correlates with CREB1 reactivation that is a potential target to overcome endocrine therapy resistance in ERiScience · 2026Article
- Computational Approaches to Cancer Cell Dormancy: From Detection to Dynamic Modelling.Biomolecules · 2026Review
- Plexin A2 Knockdown Enhances Apoptosis in Chemotherapy Treated Melanoma Cells.Oncology research · 2026Article
- Towards understanding cancer dormancy over strategic hitching up mechanisms to technologies.Molecular cancer · 2025Review
- Autophagy induced by metabolic processes leads to solid tumor cell metastatic dormancy and recurrence.Medical oncology (Northwood, London, England) · 2025Review
- Proteomic insights into breast cancer response to brain cell-secreted factors.Scientific reports · 2024Article
- mTOR pathway occupies a central role in the emergence of latent cancer cells.Cell death & disease · 2024Review
- Host-Related Factors in the Interplay among Inflammation, Immunity and Dormancy in Breast Cancer Recurrence and Prognosis: An Overview for Clinicians.International journal of molecular sciences · 2023Review
- Dormant cancer cells: programmed quiescence, senescence, or both?Cancer metastasis reviews · 2023Review
- The genomic regulation of metastatic dormancy.Cancer metastasis reviews · 2023Review
- A New View of Activating Mutations in Cancer.Cancer research · 2022Article
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 at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Primary cancer cells exert unique capacity to disseminate and nestle in distant organs. Once seeded in secondary sites, cancer cells may enter a dormant state, becoming resistant to current treatment approaches, and they remain silent until they reactivate and cause overt metastases. To illuminate the complex mechanisms of cancer dormancy, 10 transcriptomic datasets from the literature enabling 21 dormancy-cancer comparisons were mapped on protein-protein interaction networks and gene-regulatory networks to extract subnetworks that are enriched in significantly deregulated genes. The genes appearing in the subnetworks and significantly upregulated in dormancy with respect to proliferative state were scored and filtered across all comparisons, leading to a dormancy-interaction network for the first time in the literature, which includes 139 genes and 1974 interactions. The dormancy interaction network will contribute to the elucidation of cellular mechanisms orchestrating cancer dormancy, paving the way for improvements in the diagnosis and treatment of metastatic cancer.
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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.