Sci Rep May 2023 PMID 37147395

Comprehensive prediction of immune microenvironment and hot and cold tumor differentiation in cutaneous melanoma based on necroptosis-related lncRNA.

Miao Zhang, Lushan Yang, Yizhi Wang, Yuzhi Zuo, Dengdeng Chen, Xing Guo

Full text PDF Download social card

Mentions

Peak: 3 in May 2023

across 3 sources since May 2023

Extended reach

1,821

potential audience

Total likes

Video views

Mentions per month

May 2023 – Aug 2023

Where it's discussed

X / Twitter3 posts
Facebook2 posts
YouTube1 videos

AI synopsis

What people are saying

The discussions highlight the importance of the work by mentioning specific lncRNAs and immune features, using words like 'significant' and 'promise,' which reflects both interest and perceived impact. The tone suggests that the readers are engaged enough to analyze the clinical relevance and future applications of the study.

AgreementModerate agreement

Most discussions acknowledge the significance of the research, emphasizing its potential for advancing personalized treatments in melanoma.

InterestHigh interest

Participants show high curiosity about the study's methodology and implications for immunotherapy.

EngagementModerate engagement

Conversations include references to specific genes and immune pathways, indicating moderate detailed engagement.

ImpactModerate impact

Users recognize the research could influence future clinical strategies and melanoma management.

Abstract in brief

This research developed a predictive model based on specific necroptosis-related long noncoding RNAs (lncRNAs) to distinguish between high-risk and low-risk skin cutaneous melanoma (SKCM) patients, revealing significant differences in immune microenvironment features.
The study identified six key necroptosis-related lncRNAs—USP30AS1, LINC01711, LINC00520, NRIR, BASP1AS1, and LINC02178—that contribute to the model's high accuracy and are linked to immune pathways like necroptosis and apoptosis.
Analysis showed that immune characteristics, including immune checkpoint genes, m7G methylation, and drug sensitivity, varied notably between risk groups, suggesting potential for personalized immunotherapy and targeted treatment strategies for melanoma patients.

Read the full abstract

All mentions

Predicting Immune Environment and Tumor Types in Melanoma Using Necroptosis-Related lncRNAs

This study developed a predictive model based on necroptosis-related long noncoding RNAs to distinguish high-risk and low-risk cutaneous melanoma patients, revealing significant immune microenvironment differences and…

Medicine RTCL TV · Aug 23, 2023 6 views

GeneSetPapers

@geneset_papers · X

Comprehensive prediction of immune microenvironment and hot and cold tumor differentiation in cutaneous melanoma based on necroptosis-related lncRNA https://t.co/xF5mYeibfX

May 11, 2023 · 44 followers View post →

Melanoma MRV

@Melanoma_MRV · X

Comprehensive prediction of immune microenvironment and hot and cold tumor differentiation in cutaneous melanoma based on necroptosis-related lncRNA. Sci Rep 13, 7299 (2023) https://t.co/6glDBB8OVp

May 10, 2023 · 1,566 followers View post →

Ingentium Melanoma

@ingentium_mel · X

Comprehensive prediction of immune microenvironment and hot and cold tumor differentiation in cutaneous melanoma based on necroptosis-related lncRNA. https://t.co/XUVEqDRdjj https://t.co/Bar5fIL6H3

May 7, 2023 · 205 followers View post →