BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

121 related articles for article (PubMed ID: 38689382)

  • 21. Identifying the Role of Oxidative Stress-Related Genes as Prognostic Biomarkers and Predicting the Response of Immunotherapy and Chemotherapy in Ovarian Cancer.
    Liu Q; Yang X; Yin Y; Zhang H; Yin F; Guo P; Zhang X; Sun C; Li S; Han Y; Yang Z
    Oxid Med Cell Longev; 2022; 2022():6575534. PubMed ID: 36561981
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Multi-omics analysis of tumor mutational burden combined with prognostic assessment in epithelial ovarian cancer based on TCGA database.
    Liu J; Xu W; Li S; Sun R; Cheng W
    Int J Med Sci; 2020; 17(18):3200-3213. PubMed ID: 33173439
    [No Abstract]   [Full Text] [Related]  

  • 23. Comprehensive
    Xu T; Xu W; Zheng Y; Li X; Cai H; Xu Z; Zou Q; Yu B
    Front Immunol; 2022; 13():931906. PubMed ID: 35958598
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Identification of novel gene signature for lung adenocarcinoma by machine learning to predict immunotherapy and prognosis.
    Shu J; Jiang J; Zhao G
    Front Immunol; 2023; 14():1177847. PubMed ID: 37583701
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Identification of an energy metabolism‑related gene signature in ovarian cancer prognosis.
    Wang L; Li X
    Oncol Rep; 2020 Jun; 43(6):1755-1770. PubMed ID: 32186777
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Identification of STEAP3-based molecular subtype and risk model in ovarian cancer.
    Zhao Z; Sun C; Hou J; Yu P; Wei Y; Bai R; Yang P
    J Ovarian Res; 2023 Jun; 16(1):126. PubMed ID: 37386521
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Identifying a Novel Eight-NK Cell-related Gene Signature for Ovarian Cancer Prognosis Prediction.
    Li N; Yu K; Huang D; Zhou H; Zeng D
    Curr Med Chem; 2024; 31(12):1578-1594. PubMed ID: 37650393
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Establishing a Prognostic Signature Based on Epithelial-Mesenchymal Transition-Related Genes for Endometrial Cancer Patients.
    Liu J; Cui G; Shen S; Gao F; Zhu H; Xu Y
    Front Immunol; 2021; 12():805883. PubMed ID: 35095892
    [TBL] [Abstract][Full Text] [Related]  

  • 29. A novel hypoxia- and lactate metabolism-related signature to predict prognosis and immunotherapy responses for breast cancer by integrating machine learning and bioinformatic analyses.
    Li J; Qiao H; Wu F; Sun S; Feng C; Li C; Yan W; Lv W; Wu H; Liu M; Chen X; Liu X; Wang W; Cai Y; Zhang Y; Zhou Z; Zhang Y; Zhang S
    Front Immunol; 2022; 13():998140. PubMed ID: 36275774
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Identification of Hypoxia-Related Subtypes, Establishment of Prognostic Models, and Characteristics of Tumor Microenvironment Infiltration in Colon Cancer.
    Wang C; Tang Y; Ma H; Wei S; Hu X; Zhao L; Wang G
    Front Genet; 2022; 13():919389. PubMed ID: 35783281
    [No Abstract]   [Full Text] [Related]  

  • 31. Identification of metabolism-associated molecular subtype in ovarian cancer.
    Liu X; Wu A; Wang X; Liu Y; Xu Y; Liu G; Liu L
    J Cell Mol Med; 2021 Oct; 25(20):9617-9626. PubMed ID: 34523782
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Integrated analysis of single-cell and bulk RNA-sequencing identifies a signature based on T-cell marker genes to predict prognosis and therapeutic response in lung squamous cell carcinoma.
    Shi X; Dong A; Jia X; Zheng G; Wang N; Wang Y; Yang C; Lu J; Yang Y
    Front Immunol; 2022; 13():992990. PubMed ID: 36311764
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Identification of an Autophagy-Related Signature for Prognosis and Immunotherapy Response Prediction in Ovarian Cancer.
    Ding J; Wang C; Sun Y; Guo J; Liu S; Cheng Z
    Biomolecules; 2023 Feb; 13(2):. PubMed ID: 36830707
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Tumor Mutation Burden, Immune Cell Infiltration, and Construction of Immune-Related Genes Prognostic Model in Head and Neck Cancer.
    Jiang AM; Ren MD; Liu N; Gao H; Wang JJ; Zheng XQ; Fu X; Liang X; Ruan ZP; Tian T; Yao Y
    Int J Med Sci; 2021; 18(1):226-238. PubMed ID: 33390791
    [No Abstract]   [Full Text] [Related]  

  • 35. A novel immune-related prognostic index for predicting breast cancer overall survival.
    Yu X; Guo J; Zhou Q; Huang W; Xu C; Long X
    Breast Cancer; 2021 Mar; 28(2):434-447. PubMed ID: 33146847
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Development and Clinical Validation of Novel 8-Gene Prognostic Signature Associated With the Proportion of Regulatory T Cells by Weighted Gene Co-Expression Network Analysis in Uterine Corpus Endometrial Carcinoma.
    Liu J; Geng R; Yang S; Shao F; Zhong Z; Yang M; Ni S; Cai L; Bai J
    Front Immunol; 2021; 12():788431. PubMed ID: 34970268
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Identification of Molecular Subtypes and a Prognostic Signature Based on Inflammation-Related Genes in Colon Adenocarcinoma.
    Qiu C; Shi W; Wu H; Zou S; Li J; Wang D; Liu G; Song Z; Xu X; Hu J; Geng H
    Front Immunol; 2021; 12():769685. PubMed ID: 35003085
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Identification of prognostic immune-related gene signature associated with tumor microenvironment of colorectal cancer.
    Wang Y; Li W; Jin X; Jiang X; Guo S; Xu F; Su X; Wang G; Zhao Z; Gu X
    BMC Cancer; 2021 Aug; 21(1):905. PubMed ID: 34364366
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Exploration of signature based on T cell-related genes in stomach adenocarcinoma by analysis of single cell sequencing data.
    Wang H; An N; Pei A; Sun Y; Li S; Chen S; Zhang N
    Aging (Albany NY); 2024 Mar; 16(7):6035-6053. PubMed ID: 38536020
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Development and Validation of a CD8+ T Cell Infiltration-Related Signature for Melanoma Patients.
    Yuan Y; Zhu Z; Lan Y; Duan S; Zhu Z; Zhang X; Li G; Qu H; Feng Y; Cai H; Song Z
    Front Immunol; 2021; 12():659444. PubMed ID: 34040608
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 7.