ArticleIranian journal of public health2025
The Role of
Article in Iranian journal of public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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.
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Authors and funding
6 authors.
Funding
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Abstract
Background: This study aimed to investigate the prognostic value of TRP ion channel genes (TRPICGs) in colorectal adenocarcinoma (COAD) and explore its related mechanisms. Methods: The COAD dataset was downloaded from the Cancer Genome Atlas (TCGA) database. The differential expression genes (DEGs) were screened between COAD and normal samples. The differentially expressed TRPICGs (DE-TRPICGs) were obtained via intersection of DEGs and 28 TRPICGs. The Kaplan-Meier (K-M) survival curve was used to screen DE-TRPICGs with survival differences as prognostic markers. Afterward, the correlation of prognostic marker with clinical, immune cell, copy number variation were explored. Finally, immunohistochemistry (IHC) was used to verify the expression of prognostic marker. Results: Overall, 6003 DEGs were screened, and 6 DE-TRPICGs were obtained. Only Conclusion: TRPA1 was identified in COAD as a prognostic marker associated with TRP ion channels, which provided a powerful reference value and a new direction for the diagnosis and treatment of COAD.
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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.