114 related articles for article (PubMed ID: 32296685)
1. Predicting the Risk of Melanoma Metastasis Using an Immune Risk Score in the Melanoma Cohort.
Sheng Y; Yanping C; Tong L; Ning L; Yufeng L; Geyu L
Front Bioeng Biotechnol; 2020; 8():206. PubMed ID: 32296685
[TBL] [Abstract][Full Text] [Related]
2. An immune risk score with potential implications in prognosis and immunotherapy of metastatic melanoma.
Sheng Y; Tong L; Geyu L
Int Immunopharmacol; 2020 Nov; 88():106921. PubMed ID: 32871477
[TBL] [Abstract][Full Text] [Related]
3. Machine learning developed an intratumor heterogeneity signature for predicting prognosis and immunotherapy benefits in skin cutaneous melanoma.
Zhang W; Wang S
Melanoma Res; 2024 Jun; 34(3):215-224. PubMed ID: 38364052
[TBL] [Abstract][Full Text] [Related]
4. Establishment of a Nomogram by Integrating Molecular Markers and Tumor-Node-Metastasis Staging System for Predicting the Prognosis of Hepatocellular Carcinoma.
Huang XT; Chen LH; Huang CS; Li JH; Cai JP; Chen W; Yin XY
Dig Surg; 2019; 36(5):426-432. PubMed ID: 30481744
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Immune cell infiltration as a biomarker for the diagnosis and prognosis of digestive system cancer.
Yang S; Liu T; Cheng Y; Bai Y; Liang G
Cancer Sci; 2019 Dec; 110(12):3639-3649. PubMed ID: 31605436
[TBL] [Abstract][Full Text] [Related]
7. A radiomics approach to assess tumour-infiltrating CD8 cells and response to anti-PD-1 or anti-PD-L1 immunotherapy: an imaging biomarker, retrospective multicohort study.
Sun R; Limkin EJ; Vakalopoulou M; Dercle L; Champiat S; Han SR; Verlingue L; Brandao D; Lancia A; Ammari S; Hollebecque A; Scoazec JY; Marabelle A; Massard C; Soria JC; Robert C; Paragios N; Deutsch E; Ferté C
Lancet Oncol; 2018 Sep; 19(9):1180-1191. PubMed ID: 30120041
[TBL] [Abstract][Full Text] [Related]
8. The Construction and Comprehensive Analysis of ceRNA Networks and Tumor-Infiltrating Immune Cells in Bone Metastatic Melanoma.
Huang R; Zeng Z; Li G; Song D; Yan P; Yin H; Hu P; Zhu X; Chang R; Zhang X; Zhang J; Meng T; Huang Z
Front Genet; 2019; 10():828. PubMed ID: 31608101
[No Abstract] [Full Text] [Related]
9. A novel RNA sequencing-based prognostic nomogram to predict survival for patients with cutaneous melanoma: Clinical trial/experimental study.
Tian J; Yang Y; Li MY; Zhang Y
Medicine (Baltimore); 2020 Jan; 99(3):e18868. PubMed ID: 32011509
[TBL] [Abstract][Full Text] [Related]
10. [Establishment of risk evaluation model of peritoneal metastasis in gastric cancer and its predictive value].
Zhao J; Zhou R; Zhang Q; Shu P; Li H; Wang X; Shen Z; Liu F; Chen W; Qin J; Sun Y
Zhonghua Wei Chang Wai Ke Za Zhi; 2017 Jan; 20(1):47-52. PubMed ID: 28105619
[TBL] [Abstract][Full Text] [Related]
11. Bioinformatics profiling utilized a nine immune-related long noncoding RNA signature as a prognostic target for pancreatic cancer.
Wei C; Liang Q; Li X; Li H; Liu Y; Huang X; Chen X; Guo Y; Li J
J Cell Biochem; 2019 Sep; 120(9):14916-14927. PubMed ID: 31016791
[TBL] [Abstract][Full Text] [Related]
12. A Risk Stratification Model for Predicting Overall Survival and Surgical Benefit in Triple-Negative Breast Cancer Patients With
Wang Z; Wang H; Sun X; Fang Y; Lu SS; Ding SN; Chen XS; Shen KW
Front Oncol; 2020; 10():14. PubMed ID: 32038988
[No Abstract] [Full Text] [Related]
13. An Integrated Model Based on a Six-Gene Signature Predicts Overall Survival in Patients With Hepatocellular Carcinoma.
Li W; Lu J; Ma Z; Zhao J; Liu J
Front Genet; 2019; 10():1323. PubMed ID: 32010188
[No Abstract] [Full Text] [Related]
14. Construction of an immune-related genes nomogram for the preoperative prediction of axillary lymph node metastasis in triple-negative breast cancer.
Tan W; Xie X; Huang Z; Chen L; Tang W; Zhu R; Ye X; Zhang X; Pan L; Gao J; Tang H; Zheng W
Artif Cells Nanomed Biotechnol; 2020 Dec; 48(1):288-297. PubMed ID: 31858816
[TBL] [Abstract][Full Text] [Related]
15. Identification of biomarkers associated with diagnosis and prognosis of colorectal cancer patients based on integrated bioinformatics analysis.
Chen L; Lu D; Sun K; Xu Y; Hu P; Li X; Xu F
Gene; 2019 Apr; 692():119-125. PubMed ID: 30654001
[TBL] [Abstract][Full Text] [Related]
16. Nomogram for predicting the survival of patients with malignant melanoma: A population analysis.
Yang J; Pan Z; Zhou Q; Liu Q; Zhao F; Feng X; Lyu J
Oncol Lett; 2019 Oct; 18(4):3591-3598. PubMed ID: 31516573
[TBL] [Abstract][Full Text] [Related]
17. Identification of Prognostic Signatures for Predicting the Overall Survival of Uveal Melanoma Patients.
Xue M; Shang J; Chen B; Yang Z; Song Q; Sun X; Chen J; Yang J
J Cancer; 2019; 10(20):4921-4931. PubMed ID: 31598164
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Characterization of long noncoding RNA and messenger RNA signatures in melanoma tumorigenesis and metastasis.
Wang S; Fan W; Wan B; Tu M; Jin F; Liu F; Xu H; Han P
PLoS One; 2017; 12(2):e0172498. PubMed ID: 28225791
[TBL] [Abstract][Full Text] [Related]
20. Coexpression network analysis identified that plakophilin 1 is associated with the metastasis in human melanoma.
Wang HZ; Wang F; Chen PF; Zhang M; Yu MX; Wang HL; Zhao Q; Liu J
Biomed Pharmacother; 2019 Mar; 111():1234-1242. PubMed ID: 30841437
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
