ArticleBMC genomic data2026
A curated list of immune system associated genes related to cancer.
Article in BMC genomic data, 2026. 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
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Immune system dysregulation is implicated in a wide range of human diseases, including cancer. Genetic studies have shown evidence of a link between immune diseases and cancer; therefore, deficits of immune system-related genes could be involved in cancer development. In this study, we compiled a curated list of immune system-related genes linked to cancer. In this study, we constructed a list of immune system-related genes by selecting relevant genes from Gene Autoimmune disease Association Database (GAAD), International Union of Immunological Societies (IUIS) and DisGeNET databases. After careful curation and deduplication, 722 genes were classified into three tiers according to gene-disease association scores from the DISEASES tool: Tier-1 (147 genes), Tier-2 (332 genes), and Tier-3 (243 genes), reflecting their links to immune diseases. Using online pathway analysis tools DAVID and Enrichr, we verified the biological functions of the genes in each tier. Functional validation analyses showed that Tier-1 genes were strongly enriched for cytokine-mediated signaling, interleukin pathways and innate/adaptive immune responses, reflecting important immune-cancer mechanisms. Tier-2 genes were mainly enriched for innate immune responses, chemokine signaling pathways, and T-cell differentiation and checkpoint pathways. This reflected the Tier-2 genes’ broader immune regulatory functions. Tier-3 showed less immune-related functional enrichment than Tier-1 and Tier-2, enriched for complement activation, telomere maintenance, and broad cellular pathways. We believe that this curated immune-cancer gene database of 722 genes will be a valuable and reliable source for scientists studying the relationship between immune system-related genes and cancer. It provides a biologically validated source that might complement automated gene-disease association sources and support the training and enhancement of current AI tools used to identify genes linked to cancer from large datasets.
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.