ArticleProceedings of the National Academy of Sciences of the United States of America2023
A pan-cancer analysis implicates human
Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. 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
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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.
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Who cites it
4 citing papers in PubMed, 9 citations in OpenAlex.
- In situ spatial transcriptomics reveals novel markers of the limbal stem cell niche and ocular surface epithelia.Stem cell reports · 2026Article
- When cells rebel: a comparative genomics investigation into marsupial cancer susceptibility.Molecular biology and evolution · 2026Article
- MIR4726Cell communication and signaling : CCS · 2025Article
- Molecular insight into the potential functional role of pseudoenzyme GFOD1 via interaction with NKIRAS2.Acta biochimica et biophysica Sinica · 2024Article
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Authors and funding
13 authors at 2 institutions in 1 country.
Funding
Abstract
The NF-κB family of transcription factors and the Ras family of small GTPases are important mediators of proproliferative signaling that drives tumorigenesis and carcinogenesis. The κB-Ras proteins were previously shown to inhibit both NF-κB and Ras activation through independent mechanisms, implicating them as tumor suppressors with potentially broad relevance to human cancers. In this study, we have used two mouse models to establish the relevance of the κB-Ras proteins for tumorigenesis. Additionally, we have utilized a pan-cancer bioinformatics analysis to explore the role of the κB-Ras proteins in human cancers. Surprisingly, we find that the genes encoding κB-Ras 1 (
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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.