ReviewJournal of cancer research and clinical oncology2003
Bifunctional recombinant proteins in cancer therapy: cell penetrating peptide aptamers as inhibitors of growth factor signaling.
Review in Journal of cancer research and clinical oncology, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed, 32 citations in OpenAlex.
- Synergistic Effects of Polycationic and Polyfluorinated Functionalities for Efficient Intracellular Protein Delivery.Biomacromolecules · 2025Article
- Efficient Purification of Polyhistidine-Tagged Recombinant Proteins Using Functionalized Corundum Particles.Biotech (Basel (Switzerland)) · 2023Article
- Aptamer and its applications in neurodegenerative diseases.Cellular and molecular life sciences : CMLS · 2017Review
- Aptamer-Functionalized Nanoparticles as "Smart Bombs": The Unrealized Potential for Personalized Medicine and Targeted Cancer Treatment.Targeted oncology · 2015Review
- Calcineurin A versus NS5A-TP2/HD domain containing 2: a case study of site-directed low-frequency random mutagenesis for dissecting target specificity of peptide aptamers.Molecular & cellular proteomics : MCP · 2013Article
- Fine-tuning multiprotein complexes using small molecules.ACS chemical biology · 2012Review
- The role of STATs in lung carcinogenesis: an emerging target for novel therapeutics.Journal of molecular medicine (Berlin, Germany) · 2007Review
- Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The major aim of molecular cancer research is the development of new therapeutic strategies and compounds that target directly the genetic and biochemical causes of malignant transformation. Therapeutic genes, antibodies and their derivatives, but also small molecular weight compounds, have been used for this purpose. Small peptides might be able to complement these agents because of their ability to recognize specific protein domains and thus to interfere with enzymatic functions or protein-protein interactions. A variation of the yeast-two-hybrid procedure allows to select specifically binding peptides, so called peptide aptamers, from a peptide library of high complexity. This selection procedure can be adapted to any protein or protein fragment as a bait construct and selects for the intracellular interaction between the bait of choice and the peptide aptamer prey. Peptide aptamers thus selected can be cloned, provided with a protein transduction domain, expressed in bacteria and introduced into cancer cells. There they might disrupt protein-protein interactions crucial for cancer cell growth or survival. We introduce an example in which the Stat3 arm of EGF receptor signaling is selectively inhibited by a peptide aptamer and causes the growth arrest of EGF receptor-dependent tumor cells. The aptamer constructs can be supplemented with additional functional domains to enhance their inhibitory effects.
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.