Identification and Validation of the Pyroptosis-Related Molecular Subtypes of Lung Adenocarcinoma by Bioinformatics and Machine Learning
Lung cancer remains the leading cause of cancer death globally, with lung adenocarcinoma (LUAD) being its most prevalent subtype. Due to the heterogeneity of LUAD, patients given the same treatment regimen may have different responses and clinical outcomes. Therefore, identifying new subtypes of LUA...
Main Authors: | Le-Ping Liu, Lu Lu, Qiang-Qiang Zhao, Qin-Jie Kou, Zhen-Zhen Jiang, Rong Gui, Yan-Wei Luo, Qin-Yu Zhao |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2021-11-01
|
Series: | Frontiers in Cell and Developmental Biology |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fcell.2021.756340/full |
Similar Items
-
Novel immune subtypes of lung adenocarcinoma identified through bioinformatic analysis
by: Fang‐lu Qin, et al.
Published: (2020-09-01) -
Exploring hub pyroptosis-related genes, molecular subtypes, and potential drugs in ankylosing spondylitis by comprehensive bioinformatics analysis and molecular docking
by: Xin Li, et al.
Published: (2023-06-01) -
System analysis based on the pyroptosis-related genes identifies GSDMC as a novel therapy target for pancreatic adenocarcinoma
by: Cheng Yan, et al.
Published: (2022-10-01) -
Bioinformatic Analysis of Prognostic Value of Pyroptosis-Related Genes and Its Effect on Immune Cell Infiltration in Pancreatic Adenocarcinoma
by: Wang J, et al.
Published: (2022-03-01) -
m7G-Associated subtypes, tumor microenvironment, and validation of prognostic signature in lung adenocarcinoma
by: Guangyao Wang, et al.
Published: (2022-08-01)