ArticleAmerican journal of clinical and experimental immunology2024
Characterization of tumor suppressors and oncogenes evaluated from TCGA cancers.
Article in American journal of clinical and experimental immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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.
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.
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Who cites it
5 citing papers in PubMed.
- Cancer-associated mutational patterns reshape miRNA regulatory regions and potentially disrupt miRNA-gene interactions.American journal of clinical and experimental immunology · 2026Article
- MUS81 inhibits cell proliferation and migration in breast cancer by promoting the expression of CDKN2A(p16American journal of translational research · 2026Article
- Single-cell pseudotime and intercellular communication analysis reveals heterogeneity and immune microenvironment in oral cancer.Discover oncology · 2025Article
- Constructing a Prognostic Model for Subtypes of Colorectal Cancer Based on Machine Learning and Immune Infiltration-Related Genes.Journal of cellular and molecular medicine · 2025Article
- Bioinformatics analysis identifies ZBTB16 as a potential immune biomarker for lung cancer and pan-cancer.Frontiers in genetics · 2025Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mutations in oncogenes and tumor suppressor genes can significantly impact cellular function during cancer development. A comprehensive analysis of their mutation patterns and significant gene ontology terms can provide insights into cancer emergence and suggest potential targets for drug development. This study analyzes twelve cancer subtypes by focusing on significant genetic and molecular factors. Two common genetic mutations associated with cancer are single nucleotide variants (SNVs) and copy number alterations (CNAs). Oncogenes, derived from mutated proto-oncogenes, disrupt normal cell functions and promote cancer, while tumor suppressor genes, often inactivated by mutations, regulate cell processes like proliferation and DNA damage response. This study analyzed datasets from The Cancer Genome Atlas (TCGA), which provides extensive genomic data across various cancers. In our analysis results, many genes with significant
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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 Socratic graph.