ArticleCancer genomics & proteomics
Investigating the Roles of MAPKs as Precision Oncology Targets: A Multi-cancer Expression and Survival Study.
Article in Cancer genomics & proteomics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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
3 citing papers in PubMed.
- RAS pathway activity subtypes identified by machine learning define prognostic and immune microenvironment characteristics in lung adenocarcinoma.Discover oncology · 2026Article
- Clinical and Functional Significance of p38δ (MAPK13) in Lung Cancer.Cancer genomics & proteomicsArticle
- Multi-level Transcriptomic and Machine-learning Analyses IdentifyCancer genomics & proteomicsArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND/
aimCancer remains a leading cause of mortality globally, driven by complex molecular mechanisms and characterized by significant biological heterogeneity across cancer types. We aimed to discover mitogen-activated protein kinases (MAPKs) family members as both biomarkers and therapeutic targets in different cancer types. MAPKs are key signaling molecules regulating cell proliferation, differentiation, stress response, and apoptosis. Dysregulation of MAPK pathways has been implicated in the onset and progression of multiple cancers, contributing to tumor growth, metastasis, and therapeutic resistance. Given their diverse roles across cancer types, systematic analysis of MAPK gene expression, mutations, and interactions with tumor microenvironment is essential. MATERIALS AND
methodsThe present study undertakes a comprehensive transcriptomic analysis of MAPKs in nine major cancer types using RNA-Seq datasets from The Cancer Genome Atlas (TCGA). RNA-Seq data were analyzed to identify differentially expressed MAPKs across nine cancer types using DESeq2, NOIseq, and limma. Significant genes (adjusted
resultsThrough rigorous differential expression analysis, we identified key MAPKs that are significantly altered in liver hepatocellular carcinoma (LIHC) and lung adenocarcinoma (LUAD). Specifically, six MAPKs (MAPK3, MAPK7, MAPK9, MAPK10, MAPK12, and MAPK13) were found to be differentially expressed in LIHC, while MAPK6 emerged as the sole significant candidate in LUAD. Functional enrichment and pathway analysis revealed that these MAPKs are involved in critical oncogenic pathways, including MAPK-mediated transcriptional regulation and stress-activated signaling cascades. Mutational profiling and survival analysis further validated the prognostic significance of these genes, with several MAPKs showing strong associations with reduced patient survival. Tumor immune infiltration analysis indicated potential roles of these MAPKs in modulating immune responses within the tumor microenvironment. Also, MAPKs identified in this study are structurally related, suggesting that targeting them collectively may enhance therapeutic efficacy and overcome resistance mechanisms.
conclusionOur integrated approach underscores the value of MAPK family members as both biomarkers and therapeutic targets in LIHC and LUAD. This study contributes important insights into MAPK-related oncogenic processes and supports the development of targeted therapies under the framework of precision oncology.
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.