ArticleCell stress & chaperones2015
Chronic unpredictable stress (CUS) enhances the carcinogenic potential of 7,12-dimethylbenz(a)anthracene (DMBA) and accelerates the onset of tumor development in Swiss albino mice.
Article in Cell stress & chaperones, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed, 13 citations in OpenAlex.
- Chronic Unpredictable Mild Stress Accelerates the Growth of Bladder Cancer in a Xenograft Mouse Model.Psychology research and behavior management · 2020Article
- Schwann cells shape the neuro-immune environs and control cancer progression.Cancer immunology, immunotherapy : CII · 2019Review
- Exacerbation ofFrontiers in pharmacology · 2017Article
- Chronic unpredictable stress deteriorates the chemopreventive efficacy of pomegranate through oxidative stress pathway.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016Article
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 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Social stressors evolving from individual and population interactions produce stress reactions in many organisms (including humans), influencing homeostasis, altering the activity of the immunological system, and thus leading to various pathological states including cancer and their progression. The present study sought to validate the effectiveness of chronic unpredictable stress (CUS) in cancer promotion and to assess oxidative stress outcomes in terms of various in vivo biochemical parameters, oxidative stress markers, DNA damage, and the development of skin tumors in Swiss albino mice. Animals were randomized into different groups based on their exposure to CUS alone, 7,12-dimethylbenz(a)anthracene (DMBA) alone (topical), and DMBA-12-O-tetradecanoylphorbol-13-acetate (TPA) (topical) and exposure to CUS prior to DMBA or DMBA-TPA treatments and sacrificed after 16 weeks of treatment. Prior exposure to CUS significantly increased the pro-oxidant effect of carcinogen, depicted by compromised levels of antioxidants in the circulation and skin, accompanied by enhanced lipid peroxidation, plasma corticosterone, and marker enzymes as compared to DMBA-alone or DMBA-TPA treatments. DNA damage results corroborated the above biochemical outcomes. Also, the development of skin tumors (in terms of their incidence, tumor yield, and tumor burden) in mice in the presence and absence of stress further strongly supported our above biochemical measurements. CUS may work as a promoter of carcinogenesis by enhancing the pro-oxidant potential of carcinogens. Further studies may be aimed at the development of interventions for disease prevention by identifying the relations between psychological factors and DNA damage.
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.