BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

596 related articles for article (PubMed ID: 34372798)

  • 21. [Establishment and validation of prognostic risk score model for esophageal squamous cell carcinoma based on immune related genes].
    Liu HR; Jiang GZ; Xin D; Yang YL; Fan QX; Meng XR; Li SL; Liu Y; Xia J; Wang F
    Zhonghua Zhong Liu Za Zhi; 2021 Jun; 43(6):666-673. PubMed ID: 34289558
    [No Abstract]   [Full Text] [Related]  

  • 22. Correlation of plasma miR-21 and miR-93 with radiotherapy and chemotherapy efficacy and prognosis in patients with esophageal squamous cell carcinoma.
    Wang WT; Guo CQ; Cui GH; Zhao S
    World J Gastroenterol; 2019 Oct; 25(37):5604-5618. PubMed ID: 31602161
    [TBL] [Abstract][Full Text] [Related]  

  • 23. A seven-lncRNA signature predicts overall survival in esophageal squamous cell carcinoma.
    Mao Y; Fu Z; Zhang Y; Dong L; Zhang Y; Zhang Q; Li X; Liu J
    Sci Rep; 2018 Jun; 8(1):8823. PubMed ID: 29891973
    [TBL] [Abstract][Full Text] [Related]  

  • 24. LncRNA and mRNA integration network reconstruction reveals novel key regulators in esophageal squamous-cell carcinoma.
    Alaei S; Sadeghi B; Najafi A; Masoudi-Nejad A
    Genomics; 2019 Jan; 111(1):76-89. PubMed ID: 29317304
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Identification of m6a-related signature genes in esophageal squamous cell carcinoma by machine learning method.
    Shang QX; Kong WL; Huang WH; Xiao X; Hu WP; Yang YS; Zhang H; Yang L; Yuan Y; Chen LQ
    Front Genet; 2023; 14():1079795. PubMed ID: 36733344
    [No Abstract]   [Full Text] [Related]  

  • 26. A novel CT-based radiomics model for predicting response and prognosis of chemoradiotherapy in esophageal squamous cell carcinoma.
    Kasai A; Miyoshi J; Sato Y; Okamoto K; Miyamoto H; Kawanaka T; Tonoiso C; Harada M; Goto M; Yoshida T; Haga A; Takayama T
    Sci Rep; 2024 Jan; 14(1):2039. PubMed ID: 38263395
    [TBL] [Abstract][Full Text] [Related]  

  • 27. MiR-613: a novel diagnostic and prognostic biomarker for patients with esophageal squamous cell carcinoma.
    Guan S; Wang C; Chen X; Liu B; Tan B; Liu F; Wang D; Han L; Wang L; Huang X; Wang J; Yao B; Shi J; Chen P; Nesa EU; Song Q; Cheng Y
    Tumour Biol; 2016 Apr; 37(4):4383-91. PubMed ID: 26499784
    [TBL] [Abstract][Full Text] [Related]  

  • 28. An eight-lncRNA signature predicts survival of breast cancer patients: a comprehensive study based on weighted gene co-expression network analysis and competing endogenous RNA network.
    Sun M; Wu D; Zhou K; Li H; Gong X; Wei Q; Du M; Lei P; Zha J; Zhu H; Gu X; Huang D
    Breast Cancer Res Treat; 2019 May; 175(1):59-75. PubMed ID: 30715658
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Integrated Bioinformatics Analysis Identifies Hub Genes Associated with the Pathogenesis and Prognosis of Esophageal Squamous Cell Carcinoma.
    Zhang H; Zhong J; Tu Y; Liu B; Chen Z; Luo Y; Tang Y; Xiao F; Zhong J
    Biomed Res Int; 2019; 2019():2615921. PubMed ID: 31950035
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Application of Artificial Intelligence for Preoperative Diagnostic and Prognostic Prediction in Epithelial Ovarian Cancer Based on Blood Biomarkers.
    Kawakami E; Tabata J; Yanaihara N; Ishikawa T; Koseki K; Iida Y; Saito M; Komazaki H; Shapiro JS; Goto C; Akiyama Y; Saito R; Saito M; Takano H; Yamada K; Okamoto A
    Clin Cancer Res; 2019 May; 25(10):3006-3015. PubMed ID: 30979733
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Protein-coding genes combined with long non-coding RNAs predict prognosis in esophageal squamous cell carcinoma patients as a novel clinical multi-dimensional signature.
    Guo JC; Li CQ; Wang QY; Zhao JM; Ding JY; Li EM; Xu LY
    Mol Biosyst; 2016 Oct; 12(11):3467-3477. PubMed ID: 27714034
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Screening key lncRNAs with diagnostic and prognostic value for head and neck squamous cell carcinoma based on machine learning and mRNA-lncRNA co-expression network analysis.
    Hu Y; Guo G; Li J; Chen J; Tan P
    Cancer Biomark; 2020; 27(2):195-206. PubMed ID: 31815689
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Plasma-metabolite-based machine learning is a promising diagnostic approach for esophageal squamous cell carcinoma investigation.
    Chen Z; Huang X; Gao Y; Zeng S; Mao W
    J Pharm Anal; 2021 Aug; 11(4):505-514. PubMed ID: 34513127
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Identification of miR-375 as a potential prognostic biomarker for esophageal squamous cell cancer: A bioinformatics analysis based on TCGA and meta-analysis.
    Luo HS; Wu DH
    Pathol Res Pract; 2019 Mar; 215(3):512-518. PubMed ID: 30638952
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Identification of Key Genes and Pathways Associated With Paclitaxel Resistance in Esophageal Squamous Cell Carcinoma Based on Bioinformatics Analysis.
    Shen Z; Chen M; Luo F; Xu H; Zhang P; Lin J; Kang M
    Front Genet; 2021; 12():671639. PubMed ID: 34456964
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Integrative stemness characteristics associated with prognosis and the immune microenvironment in esophageal cancer.
    Yi L; Huang P; Zou X; Guo L; Gu Y; Wen C; Wu G
    Pharmacol Res; 2020 Nov; 161():105144. PubMed ID: 32810627
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Serum interleukin-8 as a potential diagnostic biomarker in esophageal squamous cell carcinoma.
    Huang Z; Zhou B; Li Z; Liu C; Zheng C; Zeng R; Hong C; Xu L; Li E; Peng Y; Xu Y
    Cancer Biomark; 2020; 29(1):139-149. PubMed ID: 32623391
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Bioinformatics-based analysis of the lncRNA-miRNA-mRNA and TF regulatory networks reveals functional genes in esophageal squamous cell carcinoma.
    Ye Z; Fang J; Wang Z; Wang L; Li B; Liu T; Wang Y; Hua J; Wang F; Fu Z
    Biosci Rep; 2020 Aug; 40(8):. PubMed ID: 32662828
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Risk model based on genes regulating the response of tumor cells to T-cell-mediated killing in esophageal squamous cell carcinoma.
    Zhang X; Yu C; Zhou S; Zhang Y; Tian B; Bian Y; Wang W; Lin H; Wang LW
    Aging (Albany NY); 2024 Feb; 16(3):2494-2516. PubMed ID: 38305770
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Integrated transcriptomics explored the cancer-promoting genes CDKN3 in esophageal squamous cell cancer.
    Wang W; Liao K; Guo HC; Zhou S; Yu R; Liu Y; Pan Y; Pu J
    J Cardiothorac Surg; 2021 May; 16(1):148. PubMed ID: 34044866
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 30.