ReviewImmunologic research2004
Cytokine polymorphism and its possible impact on cancer.
Review in Immunologic research, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.
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
9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 35 citations in OpenAlex.
- Lack of association between interferon gamma +874 T/A polymorphism and cancer risk: an updated meta-analysis.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014Pooled it
- Systematic review and meta-analysis on the association between IL-1B polymorphisms and cancer risk.PloS one · 2013Pooled it
- Digesting the Role of JAK-STAT and Cytokine Signaling in Oral and Gastric Cancers.Frontiers in immunology · 2022Review
- Inflammatory cytokines in the pathogenesis of cardiovascular disease and cancer.SAGE open medicine · 2020Review
- IFN-γ +874 T/A polymorphisms contributes to cervical cancer susceptibility: a meta-analysis.International journal of clinical and experimental medicine · 2015Article
- An immunologic portrait of cancer.Journal of translational medicine · 2011Review
- Molecular epidemiology, cancer-related symptoms, and cytokines pathway.The Lancet. Oncology · 2008Review
- Modified skin window technique for the extended characterisation of acute inflammation in humans.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2007Article
- The use of microarray technologies in clinical oncology.Journal of translational medicine · 2006Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
Human cancer is an unpredictable disease as is its response to therapy. The intrinsic genetic heterogeneity and instability of cancer cells could in part explain such behavior. However, it is possible that, individual variation in the genetic make-up of humans may affect the relationship between host and cancer cells and, therefore, be, at least in part responsible for this extraordinary variation. Human gene polymorphism has been shown indeed to play a role in immune responses; among the immune-related genes, cytokines are often polymorphic. Some polymorphisms of cytokine and cytokine receptor may have direct functional significance by altering directly and indirectly the level of gene expression and/or its function; other may only demarcate a genetic linkage to a particular haplotype associated with a given clinical condition. The majority of polymorphisms found in cytokines or their receptors are located in the promoter, intronic and 3' untranslated regions. These sequence variations can still affect gene expression and function. In this review will we summarize the current knowledge about the role of cytokine polymorphism in disease and more specifically in cancer.
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.