SynthesisCancer genomics & proteomics
Association of
Synthesis in Cancer genomics & proteomics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND/
aimCancer development involves complex interactions between immune mechanisms and the tumor microenvironment, with regulatory T cells (Tregs) being implicated in suppressing anti-tumor immunity. The X-linked gene Forkhead Box P3 ( MATERIALS AND
methodsA systematic search of PubMed, Google Scholar, and Scopus identified seventeen eligible case-control studies, including 6719 cancer patients and 6879 healthy controls. The statistical analyses employed an X-linked Generalized Linear Regression Model (GLRM) and a sex-stratified meta-analysis calculating odds ratios with 95% confidence intervals.
resultsThe results indicated that the presence of the A allele increases cancer risk in White and Asian populations. Furthermore, the A allele and the AA genotype were associated with breast cancer in Asians, while the AC genotype appeared protective against acute lymphoblastic leukemia in Whites possibly through non-random X-chromosome inactivation. The GLRM proved more robust, identifying additional associations and accounting for risk factors.
conclusionThe present study suggests a new statistical approach for analyzing X-linked genotypic data. Additionally, it underscores that the
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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.