These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

467 related articles for article (PubMed ID: 30642750)

  • 1. Development and validation of a magnetic resonance imaging-based model for the prediction of distant metastasis before initial treatment of nasopharyngeal carcinoma: A retrospective cohort study.
    Zhang L; Dong D; Li H; Tian J; Ouyang F; Mo X; Zhang B; Luo X; Lian Z; Pei S; Dong Y; Huang W; Liang C; Liu J; Zhang S
    EBioMedicine; 2019 Feb; 40():327-335. PubMed ID: 30642750
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Development and validation of a gene expression-based signature to predict distant metastasis in locoregionally advanced nasopharyngeal carcinoma: a retrospective, multicentre, cohort study.
    Tang XR; Li YQ; Liang SB; Jiang W; Liu F; Ge WX; Tang LL; Mao YP; He QM; Yang XJ; Zhang Y; Wen X; Zhang J; Wang YQ; Zhang PP; Sun Y; Yun JP; Zeng J; Li L; Liu LZ; Liu N; Ma J
    Lancet Oncol; 2018 Mar; 19(3):382-393. PubMed ID: 29428165
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Pretreatment MRI radiomics analysis allows for reliable prediction of local recurrence in non-metastatic T4 nasopharyngeal carcinoma.
    Zhang LL; Huang MY; Li Y; Liang JH; Gao TS; Deng B; Yao JJ; Lin L; Chen FP; Huang XD; Kou J; Li CF; Xie CM; Lu Y; Sun Y
    EBioMedicine; 2019 Apr; 42():270-280. PubMed ID: 30928358
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A multidimensional nomogram combining overall stage, dose volume histogram parameters and radiomics to predict progression-free survival in patients with locoregionally advanced nasopharyngeal carcinoma.
    Yang K; Tian J; Zhang B; Li M; Xie W; Zou Y; Tan Q; Liu L; Zhu J; Shou A; Li G
    Oral Oncol; 2019 Nov; 98():85-91. PubMed ID: 31569054
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A comprehensive model based on temporal dynamics of peripheral T cell repertoire for predicting post-treatment distant metastasis of nasopharyngeal carcinoma.
    Zhang Y; Zhu Y; Wang J; Xu Y; Wang Z; Liu Y; Di X; Feng L; Zhang Y
    Cancer Immunol Immunother; 2022 Mar; 71(3):675-688. PubMed ID: 34342668
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Prognostic value of a microRNA signature in nasopharyngeal carcinoma: a microRNA expression analysis.
    Liu N; Chen NY; Cui RX; Li WF; Li Y; Wei RR; Zhang MY; Sun Y; Huang BJ; Chen M; He QM; Jiang N; Chen L; Cho WC; Yun JP; Zeng J; Liu LZ; Li L; Guo Y; Wang HY; Ma J
    Lancet Oncol; 2012 Jun; 13(6):633-41. PubMed ID: 22560814
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Pretreatment multiparametric MRI radiomics-integrated clinical hematological biomarkers can predict early rapid metastasis in patients with nasopharyngeal carcinoma.
    Cao X; Wang X; Song J; Su Y; Wang L; Yin Y
    BMC Cancer; 2024 Apr; 24(1):435. PubMed ID: 38589858
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Integrative radiopathomics model for predicting progression-free survival in patients with nonmetastatic nasopharyngeal carcinoma.
    Hou J; Yi X; Li H; Lu Q; Lin H; Li J; Zeng B; Yu X
    J Cancer Res Clin Oncol; 2024 Sep; 150(9):415. PubMed ID: 39249584
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Development and external validation of nomograms to predict the risk of skeletal metastasis at the time of diagnosis and skeletal metastasis-free survival in nasopharyngeal carcinoma.
    Yang L; Xia L; Wang Y; He S; Chen H; Liang S; Peng P; Hong S; Chen Y
    BMC Cancer; 2017 Sep; 17(1):628. PubMed ID: 28874126
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A deep learning-based radiomic nomogram for prognosis and treatment decision in advanced nasopharyngeal carcinoma: A multicentre study.
    Zhong L; Dong D; Fang X; Zhang F; Zhang N; Zhang L; Fang M; Jiang W; Liang S; Li C; Liu Y; Zhao X; Cao R; Shan H; Hu Z; Ma J; Tang L; Tian J
    EBioMedicine; 2021 Aug; 70():103522. PubMed ID: 34391094
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Radiomic machine-learning classifiers for prognostic biomarkers of advanced nasopharyngeal carcinoma.
    Zhang B; He X; Ouyang F; Gu D; Dong Y; Zhang L; Mo X; Huang W; Tian J; Zhang S
    Cancer Lett; 2017 Sep; 403():21-27. PubMed ID: 28610955
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Radiomics Features of Multiparametric MRI as Novel Prognostic Factors in Advanced Nasopharyngeal Carcinoma.
    Zhang B; Tian J; Dong D; Gu D; Dong Y; Zhang L; Lian Z; Liu J; Luo X; Pei S; Mo X; Huang W; Ouyang F; Guo B; Liang L; Chen W; Liang C; Zhang S
    Clin Cancer Res; 2017 Aug; 23(15):4259-4269. PubMed ID: 28280088
    [No Abstract]   [Full Text] [Related]  

  • 13. Development of a Nomogram Model for Treatment of Nonmetastatic Nasopharyngeal Carcinoma.
    Zhang LL; Xu F; Song D; Huang MY; Huang YS; Deng QL; Li YY; Shao JY
    JAMA Netw Open; 2020 Dec; 3(12):e2029882. PubMed ID: 33306119
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Prognostic nomogram for patients with Nasopharyngeal Carcinoma incorporating hematological biomarkers and clinical characteristics.
    Li J; Chen S; Peng S; Liu Y; Xing S; He X; Chen H
    Int J Biol Sci; 2018; 14(5):549-556. PubMed ID: 29805306
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A nomogram model based on pre-treatment and post-treatment MR imaging radiomics signatures: application to predict progression-free survival for nasopharyngeal carcinoma.
    Sun MX; Zhao MJ; Zhao LH; Jiang HR; Duan YX; Li G
    Radiat Oncol; 2023 Apr; 18(1):67. PubMed ID: 37041545
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Baseline MRI-based radiomics model assisted predicting disease progression in nasopharyngeal carcinoma patients with complete response after treatment.
    Bao D; Liu Z; Geng Y; Li L; Xu H; Zhang Y; Hu L; Zhao X; Zhao Y; Luo D
    Cancer Imaging; 2022 Jan; 22(1):10. PubMed ID: 35090572
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Prognostic Value of the Pretreatment Primary Lesion Quantitative Dynamic Contrast-Enhanced Magnetic Resonance Imaging for Nasopharyngeal Carcinoma.
    Qin Y; Yu X; Hou J; Hu Y; Li F; Wen L; Lu Q; Liu S
    Acad Radiol; 2019 Nov; 26(11):1473-1482. PubMed ID: 30772137
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Establishment and validation of two nomograms to predict the benefit of concurrent chemotherapy in stage II-IVa nasopharyngeal carcinoma patients with different risk factors: Analysis based on a large cohort.
    Sun XS; Xiao BB; Lin C; Liu SL; Chen QY; Tang LQ; Mai HQ
    Cancer Med; 2020 Mar; 9(5):1661-1670. PubMed ID: 31925942
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Prognostic value of prognostic nutritional index in nasopharyngeal carcinoma: A meta-analysis containing 4511 patients.
    Tu X; Ren J; Zhao Y
    Oral Oncol; 2020 Nov; 110():104991. PubMed ID: 32919361
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Magnetic Resonance Imaging-Detected Intracranial Extension in the T4 Classification Nasopharyngeal Carcinoma with Intensity-Modulated Radiotherapy.
    Cao C; Luo J; Gao L; Yi J; Huang X; Li S; Xiao J; Zhang Z; Xu G
    Cancer Res Treat; 2017 Apr; 49(2):518-525. PubMed ID: 27554478
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 24.