182 related articles for article (PubMed ID: 37596371)
1. Identification an innovative classification and nomogram for predicting the prognosis of thyroid carcinoma patients and providing therapeutic schedules.
Feng Z; Zhao Q; Ding Y; Xu Y; Sun X; Chen Q; Zhang Y; Miao J; Zhu J
J Cancer Res Clin Oncol; 2023 Nov; 149(16):14817-14831. PubMed ID: 37596371
[TBL] [Abstract][Full Text] [Related]
2. Identification a unique disulfidptosis classification regarding prognosis and immune landscapes in thyroid carcinoma and providing therapeutic strategies.
Feng Z; Zhao Q; Ding Y; Xu Y; Sun X; Chen Q; Zhang Y; Miao J; Zhu J
J Cancer Res Clin Oncol; 2023 Oct; 149(13):11157-11170. PubMed ID: 37347261
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. 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 Oct; 149(13):11351-11368. PubMed ID: 37378675
[TBL] [Abstract][Full Text] [Related]
5. The cell death-related genes machine learning model for precise therapy and clinical drug selection in hepatocellular carcinoma.
Du M; Qu Y; Qin L; Zheng J; Sun W
J Cell Mol Med; 2024 Apr; 28(7):e18168. PubMed ID: 38494848
[TBL] [Abstract][Full Text] [Related]
6. Construction of a novel cuproptosis-related gene signature for predicting prognosis and estimating tumor immune microenvironment status in papillary thyroid carcinoma.
Wang L; Yao B; Yang J; Tian Z; He J
BMC Cancer; 2022 Nov; 22(1):1131. PubMed ID: 36333684
[TBL] [Abstract][Full Text] [Related]
7. Identification and validation of a novel senescence-related biomarker for thyroid cancer to predict the prognosis and immunotherapy.
Hong K; Cen K; Chen Q; Dai Y; Mai Y; Guo Y
Front Immunol; 2023; 14():1128390. PubMed ID: 36761753
[TBL] [Abstract][Full Text] [Related]
8. Identification of PANoptosis-related genes as prognostic indicators of thyroid cancer.
Xie D; Huang L; Li C; Wu R; Zheng Z; Liu F; Cheng H
Heliyon; 2024 Jun; 10(11):e31707. PubMed ID: 38845990
[TBL] [Abstract][Full Text] [Related]
9. Integration of machine learning for developing a prognostic signature related to programmed cell death in colorectal cancer.
Xu QT; Qiang JK; Huang ZY; Jiang WJ; Cui XM; Hu RH; Wang T; Yi XL; Li JY; Yu Z; Zhang S; Du T; Liu J; Jiang XH
Environ Toxicol; 2024 May; 39(5):2908-2926. PubMed ID: 38299230
[TBL] [Abstract][Full Text] [Related]
10. Prognosis and therapy in thyroid cancer by gene signatures related to natural killer cells.
Jin Z; Han Y; Zhang J; Liu Z; Li R; Liu Z
J Gene Med; 2024 Jan; 26(1):e3657. PubMed ID: 38282150
[TBL] [Abstract][Full Text] [Related]
11. Leveraging diverse cell-death patterns to predict the prognosis and drug sensitivity of triple-negative breast cancer patients after surgery.
Zou Y; Xie J; Zheng S; Liu W; Tang Y; Tian W; Deng X; Wu L; Zhang Y; Wong CW; Tan D; Liu Q; Xie X
Int J Surg; 2022 Nov; 107():106936. PubMed ID: 36341760
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. 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]
14. Construction of a ferroptosis-related five-lncRNA signature for predicting prognosis and immune response in thyroid carcinoma.
Qin Y; Zhang D; Zhang H; Hou L; Wang Z; Yang L; Zhang M; Zhao G; Yao Q; Ling R; Zhang J
Cancer Cell Int; 2022 Sep; 22(1):296. PubMed ID: 36175889
[TBL] [Abstract][Full Text] [Related]
15. A Potential Four-Gene Signature and Nomogram for Predicting the Overall Survival of Papillary Thyroid Cancer.
Ding Y; Li P; Wang W; Liu F
Dis Markers; 2022; 2022():8735551. PubMed ID: 36193505
[TBL] [Abstract][Full Text] [Related]
16. Targeting PRKDC activates the efficacy of antitumor immunity while sensitizing to chemotherapy and targeted therapy in liver hepatocellular carcinoma.
Pan Y; Zhu Q; Hong T; Cheng J; Tang X
Aging (Albany NY); 2024 May; 16(10):9047-9071. PubMed ID: 38787389
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Construction and validation of a PANoptosis-related lncRNA signature for predicting prognosis and targeted drug response in thyroid cancer.
Li R; Zhao M; Sun M; Miao C; Lu J
PeerJ; 2023; 11():e15884. PubMed ID: 37671354
[TBL] [Abstract][Full Text] [Related]
19. Development and Validation of Potential Molecular Subtypes and Signatures of Thyroid Carcinoma Based on Aging-related Gene Analysis.
Li Z; Jia LI; Zhou HR; Zhang LU; Zhang M; Lv J; Deng ZY; Liu C
Cancer Genomics Proteomics; 2024; 21(1):102-117. PubMed ID: 38151291
[TBL] [Abstract][Full Text] [Related]
20. Identification of cuproptosis-related subtypes, construction of a prognosis model, and tumor microenvironment landscape in gastric cancer.
Wang J; Qin D; Tao Z; Wang B; Xie Y; Wang Y; Li B; Cao J; Qiao X; Zhong S; Hu X
Front Immunol; 2022; 13():1056932. PubMed ID: 36479114
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
