Machine learning-based signature of necrosis-associated lncRNAs for prognostic and immunotherapy response prediction in cutaneous melanoma and tumor immune landscape characterization

Machine learning-based signature of necrosis-associated lncRNAs for prognostic and immunotherapy response prediction in cutaneous melanoma and tumor immune landscape characterization

BackgroundCutaneous melanoma (CM) is one of the malignant tumors with a relative high lethality. Necroptosis is a novel programmed cell death that participates in anti-tumor immunity and tumor prognosis. Necroptosis has been found to play an important role in tumors like CM. However, the necroptosis...

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Bibliographic Details
Main Authors: Zhiwei Cui, Zhen Liang, Binyu Song, Yuhan Zhu, Guo Chen, Yanan Gu, Baoyan Liang, Jungang Ma, Baoqiang Song
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-05-01
Series:Frontiers in Endocrinology
Subjects:
cutaneous melanoma (CM)
necroptosis
long non-coding RNAs (lncRNAs)
prognostic signature
tumor immune function
Online Access:https://www.frontiersin.org/articles/10.3389/fendo.2023.1180732/full

Internet

https://www.frontiersin.org/articles/10.3389/fendo.2023.1180732/full

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