251 related articles for article (PubMed ID: 33193731)
1. Identifying M1 Macrophage-Related Genes Through a Co-expression Network to Construct a Four-Gene Risk-Scoring Model for Predicting Thyroid Cancer Prognosis.
Zhuang G; Zeng Y; Tang Q; He Q; Luo G
Front Genet; 2020; 11():591079. PubMed ID: 33193731
[TBL] [Abstract][Full Text] [Related]
2. Identification of ferroptosis genes in immune infiltration and prognosis in thyroid papillary carcinoma using network analysis.
Lin R; Fogarty CE; Ma B; Li H; Ni G; Liu X; Yuan J; Wang T
BMC Genomics; 2021 Jul; 22(1):576. PubMed ID: 34315405
[TBL] [Abstract][Full Text] [Related]
3. Exploration and validation of key genes associated with early lymph node metastasis in thyroid carcinoma using weighted gene co-expression network analysis and machine learning.
Liu Y; Yin Z; Wang Y; Chen H
Front Endocrinol (Lausanne); 2023; 14():1247709. PubMed ID: 38144565
[TBL] [Abstract][Full Text] [Related]
4. Identification of disulfidptosis-associated genes and characterization of immune cell infiltration in thyroid carcinoma.
Song S; Zhou J; Zhang L; Sun Y; Zhang Q; Tan Y; Zhou X; Yu J
Aging (Albany NY); 2024 Jun; 16():. PubMed ID: 38836761
[TBL] [Abstract][Full Text] [Related]
5. Identifying M1-like macrophage related genes for prognosis prediction in lung adenocarcinoma based on a gene co-expression network.
Wang Z; Yan S; Yang Y; Luo X; Wang X; Tang K; Zhao J; He Y; Bian L
Heliyon; 2023 Jan; 9(1):e12798. PubMed ID: 36711278
[TBL] [Abstract][Full Text] [Related]
6. Identification of a Five-Gene Signature and Establishment of a Prognostic Nomogram to Predict Progression-Free Interval of Papillary Thyroid Carcinoma.
Wu M; Yuan H; Li X; Liao Q; Liu Z
Front Endocrinol (Lausanne); 2019; 10():790. PubMed ID: 31803141
[No Abstract] [Full Text] [Related]
7. Identification of a Nine-Gene Signature and Establishment of a Prognostic Nomogram Predicting Overall Survival of Pancreatic Cancer.
Wu M; Li X; Zhang T; Liu Z; Zhao Y
Front Oncol; 2019; 9():996. PubMed ID: 31612115
[No Abstract] [Full Text] [Related]
8. Identification of a Prognostic 3-Gene Risk Prediction Model for Thyroid Cancer.
Zhao H; Zhang S; Shao S; Fang H
Front Endocrinol (Lausanne); 2020; 11():510. PubMed ID: 32849296
[No Abstract] [Full Text] [Related]
9. Analysis of M2 macrophage-associated risk score signature in pancreatic cancer TME landscape and immunotherapy.
Yang D; Zhao F; Su Y; Zhou Y; Shen J; Zhao K; Ding Y
Front Mol Biosci; 2023; 10():1184708. PubMed ID: 37469705
[No Abstract] [Full Text] [Related]
10. Evaluate the immune-related eRNA models and signature score to predict the response to immunotherapy in thyroid carcinoma.
Wu P; Shi J; Wang Z; Sun W; Zhang H
Cancer Cell Int; 2022 Oct; 22(1):307. PubMed ID: 36217201
[TBL] [Abstract][Full Text] [Related]
11. Development and validation of prognostic m6A-related lncRNA and mRNA model in thyroid cancer.
Zhu Y; Yu T; Huang J; Ma X; Shen T; Li A; Yue R
Am J Cancer Res; 2022; 12(7):3259-3279. PubMed ID: 35968348
[TBL] [Abstract][Full Text] [Related]
12. Potential Novel Modules and Hub Genes as Prognostic Candidates of Thyroid Cancer by Weighted Gene Co-Expression Network Analysis.
Shi Z; Li X; Zhang L; Luo Y; Shrestha B; Hu X
Int J Gen Med; 2021; 14():9433-9444. PubMed ID: 34908870
[TBL] [Abstract][Full Text] [Related]
13. Systematic Characterization of Novel Immune Gene Signatures Predicts Prognostic Factors in Hepatocellular Carcinoma.
Xu D; Wang Y; Wu J; Zhang Y; Liu Z; Chen Y; Zheng J
Front Cell Dev Biol; 2021; 9():686664. PubMed ID: 34631695
[No Abstract] [Full Text] [Related]
14. Association of a Novel Prognosis Model with Tumor Mutation Burden and Tumor-Infiltrating Immune Cells in Thyroid Carcinoma.
Zhang S; Chen S; Wang Y; Zhan Y; Li J; Nong X; Gao B
Front Genet; 2021; 12():744304. PubMed ID: 34976004
[TBL] [Abstract][Full Text] [Related]
15. Construction and validation of a macrophage polarization-related prognostic index to predict the overall survival in patients with early-stage triple-negative breast cancer.
Luo H; Hong R; Xu Y; Zheng Q; Xia W; Lu Q; Jiang K; Xu F; Chen M; Shi D; Deng W; Wang S
Gland Surg; 2023 Feb; 12(2):225-242. PubMed ID: 36915811
[TBL] [Abstract][Full Text] [Related]
16. Clinical value of M1 macrophage-related genes identification in bladder urothelial carcinoma and
Yu Y; Huang Y; Li C; Ou S; Xu C; Kang Z
Front Genet; 2022; 13():1047004. PubMed ID: 36468020
[No Abstract] [Full Text] [Related]
17. The prognostic value of plasma complement factor B (CFB) in thyroid carcinoma.
Wu P; Shi J; Sun W; Zhang H
Bioengineered; 2021 Dec; 12(2):12854-12866. PubMed ID: 34898340
[TBL] [Abstract][Full Text] [Related]
18. A Weighted Gene Co-Expression Network Analysis-Derived Prognostic Model for Predicting Prognosis and Immune Infiltration in Gastric Cancer.
Chen Q; Tan Y; Zhang C; Zhang Z; Pan S; An W; Xu H
Front Oncol; 2021; 11():554779. PubMed ID: 33718128
[TBL] [Abstract][Full Text] [Related]
19. Bioinformatics analysis for the identification of Sprouty-related EVH1 domain-containing protein 3 expression and its clinical significance in thyroid carcinoma.
Zhang X; Meng X; Wang P; Luan C; Wang H
Sci Rep; 2024 Feb; 14(1):4549. PubMed ID: 38402263
[TBL] [Abstract][Full Text] [Related]
20. Comprehensive bioinformatics analysis unveils THEMIS2 as a carcinogenic indicator related to immune infiltration and prognosis of thyroid cancer.
Liu JF; Zou B; Xiang C; Yan HC
Sci Rep; 2024 Apr; 14(1):8156. PubMed ID: 38589421
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]