ArticleFunctional & integrative genomics2023
Establishment of a prognostic model for melanoma based on necroptosis-related genes.
Article in Functional & integrative genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed, 2 citations in OpenAlex.
- Recent progress of methods for cuproptosis detection.Frontiers in molecular biosciences · 2024Review
- A prospective prognostic signature for pancreatic adenocarcinoma based on ubiquitination-related mRNA-lncRNA with experimental validation in vitro and vivo.Functional & integrative genomics · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this study, the clinical implications and potential functions of necroptosis-related genes (NRGs) in melanoma were systematically characterized. A novel NRG signature was then constructed to analyze the immune status and prognosis of patients with melanoma. The NRG signatures for melanoma prognosis were searched using the Cancer Genome Atlas (TCGA) dataset and followed by stepwise Cox regression analysis. Patients with melanoma were divided into two groups, and survival analysis, receiver operating characteristic (ROC), and univariate and multivariate analyses were subsequently performed. The correlation of risk score (RS) with tumor immunity and RT-polymerase chain reaction (PCR) was analyzed to further verify the gene signatures. Data on tumor mutational burden (TMB) and chromosomal copy number variation (CNV) were analyzed. Three NRGs were identified as prognostic risk signatures and were significantly related to overall survival (OS) in melanoma. The signatures had better diagnostic accuracy. Furthermore, analysis of mutations in the NRGs and the incidence of chromosomal CNV helped to reveal the relationship between mutations and melanoma occurrence. A nomogram was established based on RSs. The risk characteristics were significantly associated with immunity and high risk is closely correlated with melanoma development. In vitro experiments revealed that necrostatin-1 (Nec-1) promoted cell viability and repressed the expression levels of interleukin (IL)12A and proprotein convertase subtilisin/kexin type (PCSK)1. Additionally, the expression levels of IL12A, CXCL10, and PCSK1 decreased in tumor tissues of melanoma patients. NRGs exert vital roles in immunity and might be applied as a prognostic factor of melanoma.
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.