de Moraes F, Rodrigues A, Pasqualotto E, Cassemiro J, Choque J, Burbano R
Clin Transl Oncol. 2025; .
PMID: 39797945
DOI: 10.1007/s12094-024-03843-4.
Lin C, Lin K, Lin X, Yuan H, Zhang Y, Xie Z
Transl Lung Cancer Res. 2024; 13(10):2713-2728.
PMID: 39507021
PMC: 11535849.
DOI: 10.21037/tlcr-24-627.
Zhu J, Ge H, Chen Y, Zhang S, Wu J, Nai W
Transl Cancer Res. 2024; 13(9):5064-5072.
PMID: 39430814
PMC: 11483469.
DOI: 10.21037/tcr-24-1182.
Wang X, Niu Y, Bian F
Clin Transl Oncol. 2024; .
PMID: 39179939
DOI: 10.1007/s12094-024-03678-z.
Kohara T, Ikeda S, Ishikawa K
JMA J. 2024; 7(3):375-386.
PMID: 39114611
PMC: 11301018.
DOI: 10.31662/jmaj.2023-0206.
The radiological characteristics, tertiary lymphoid structures, and survival status associated with EGFR mutation in patients with subsolid nodules like stage I-II LUAD.
Xie M, Gao J, Ma X, Song J, Wu C, Zhou Y
BMC Cancer. 2024; 24(1):372.
PMID: 38528507
PMC: 10962174.
DOI: 10.1186/s12885-024-12136-6.
PERP May Affect the Prognosis of Lung Adenocarcinoma by Inhibiting Apoptosis.
Liu Z, Han S, Luo Y, Zhao Z, Ni L, Chai L
Cancer Manag Res. 2024; 16:199-214.
PMID: 38525370
PMC: 10961073.
DOI: 10.2147/CMAR.S443490.
Advancements in the diagnosis and treatment of sub‑centimeter lung cancer in the era of precision medicine (Review).
Wang X, Shi J, Liu Z
Mol Clin Oncol. 2024; 20(4):28.
PMID: 38414512
PMC: 10895471.
DOI: 10.3892/mco.2024.2726.
Multi-level characteristics recognition of cancer core therapeutic targets and drug screening for a broader patient population.
Su Y, Wang Y, Qu Z, Liu J, Ren X, Zhang D
Front Pharmacol. 2023; 14:1280099.
PMID: 38074121
PMC: 10701285.
DOI: 10.3389/fphar.2023.1280099.
Solitary lung adenocarcinoma: follow-up CT, pathological-molecular characteristics, and surgical prognosis for different morphological classifications.
Liao H, Huang X, Li X, Lv F, Luo T, Li Q
Insights Imaging. 2023; 14(1):209.
PMID: 38010599
PMC: 10682316.
DOI: 10.1186/s13244-023-01563-x.
Molecular Subtypes and Prognostic Models for Predicting Prognosis of Lung Adenocarcinoma based on MiRNA-related Genes.
Wei Y, Zhong W, Bi Y, Liu X, Zhou Q, Liu J
Curr Med Chem. 2023; 31(34):5620-5637.
PMID: 37711127
DOI: 10.2174/0929867331666230914151943.
Identification of molecular subgroups and establishment of risk model based on the response to oxidative stress to predict overall survival of patients with lung adenocarcinoma.
Liu L, Hou Q, Chen B, Lai X, Wang H, Liu H
Eur J Med Res. 2023; 28(1):333.
PMID: 37689745
PMC: 10492289.
DOI: 10.1186/s40001-023-01290-5.
Research progress of nanomaterial drug delivery in tumor targeted therapy.
Zhang P, Ye G, Xie G, Lv J, Zeng X, Jiang W
Front Bioeng Biotechnol. 2023; 11:1240529.
PMID: 37555076
PMC: 10405625.
DOI: 10.3389/fbioe.2023.1240529.
Brigatinib in Japanese patients with ALK-positive non-small-cell lung cancer: Final results of the phase 2 J-ALTA trial.
Yoshida T, Kumagai T, Toyozawa R, Katayama R, Nishio M, Seto T
Cancer Sci. 2023; 114(9):3698-3707.
PMID: 37434391
PMC: 10475780.
DOI: 10.1111/cas.15888.
Molecular subtypes of lung adenocarcinoma patients for prognosis and therapeutic response prediction with machine learning on 13 programmed cell death patterns.
Wei Q, Jiang X, Miao X, Zhang Y, Chen F, Zhang P
J Cancer Res Clin Oncol. 2023; 149(13):11351-11368.
PMID: 37378675
DOI: 10.1007/s00432-023-05000-w.
A radiomics nomogram prediction for survival of patients with "driver gene-negative" lung adenocarcinomas (LUAD).
Guo Q, Yang H, Shan S, Chang D, Qiu L, Luo H
Radiol Med. 2023; 128(6):714-725.
PMID: 37219740
PMC: 10264479.
DOI: 10.1007/s11547-023-01643-4.
Detection of multiple druggable mutations of lung cancer from cytology specimens by MINtS: An advanced medicine A trial.
Fujita K, Arai R, Shoji S, Saito R, Nomura M, Hotta T
Cancer Sci. 2023; 114(8):3342-3351.
PMID: 37139543
PMC: 10394136.
DOI: 10.1111/cas.15831.
IL1R2 is a Novel Prognostic Biomarker for Lung Adenocarcinoma.
Zhang Y, Ma D, Gong Y, Wang F, Wu J, Wu C
Curr Mol Med. 2023; 24(5):620-629.
PMID: 37078353
DOI: 10.2174/1566524023666230420092142.
Subtype classification based on t cell proliferation-related regulator genes and risk model for predicting outcomes of lung adenocarcinoma.
Yang Q, Zhu W, Gong H
Front Immunol. 2023; 14:1148483.
PMID: 37077919
PMC: 10106713.
DOI: 10.3389/fimmu.2023.1148483.
Analysis of super-enhancer using machine learning and its application to medical biology.
Hamamoto R, Takasawa K, Shinkai N, Machino H, Kouno N, Asada K
Brief Bioinform. 2023; 24(3).
PMID: 36960780
PMC: 10199775.
DOI: 10.1093/bib/bbad107.