ReviewMolecular medicine (Cambridge, Mass.)2011
Transcription factor networks as targets for therapeutic intervention of cancer: the breast cancer paradigm.
Review in Molecular medicine (Cambridge, Mass.), 2011. 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.
- Escape from oncogene-induced senescence is controlled by POU2F2 and memorized by chromatin scars.Cell genomics · 2023Article
- Effect ofGland surgery · 2022Article
- Identification of a Novel Transcription Factor Prognostic Index for Breast Cancer.Frontiers in oncology · 2021Article
- Focus on the glycerophosphocholine pathway in choline phospholipid metabolism of cancer.NMR in biomedicine · 2019Review
- A strategy to identify housekeeping genes suitable for analysis in breast cancer diseases.BMC genomics · 2016Article
- A bioinformatics approach reveals novel interactions of the OVOL transcription factors in the regulation of epithelial - mesenchymal cell reprogramming and cancer progression.BMC systems biology · 2014Article
- Identifying druggable targets by protein microenvironments matching: application to transcription factors.CPT: pharmacometrics & systems pharmacology · 2014Article
- Complex-based analysis of dysregulated cellular processes in cancer.BMC systems biology · 2014Article
- A systematic approach to identify novel cancer drug targets using machine learning, inhibitor design and high-throughput screening.Genome medicine · 2014Article
- Targeting long non-coding RNA to therapeutically upregulate gene expression.Nature reviews. Drug discovery · 2013Review
- Major Functional Transcriptome of an Inferred Center Regulator of an ER(-) Breast Cancer Model System.Cancer informatics · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
It has long been shown that many of the presently used anticancer drugs exert their effects partly through modulating the activity of vital transcription factors. The intricacy of transcriptional regulation still represents the main obstacle for the design of transcription factor-directed agents. Systematic mapping of tumor-specific transcriptional networks and application of new molecular tools have reinforced research interest and efforts in this venue. The case of breast cancer is discussed as a representative example.
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.