BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

43 related articles for article (PubMed ID: 38699187)

  • 21. Pre-mRNA processing factor 19 functions in DNA damage repair and radioresistance by modulating cyclin D1 in hepatocellular carcinoma.
    Yu XN; Zhang GC; Liu HN; Zhu JM; Liu TT; Song GQ; Dong L; Yin J; Shen XZ
    Mol Ther Nucleic Acids; 2022 Mar; 27():390-403. PubMed ID: 35036052
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Low glycaemic diets alter lipid metabolism to influence tumour growth.
    Lien EC; Westermark AM; Zhang Y; Yuan C; Li Z; Lau AN; Sapp KM; Wolpin BM; Vander Heiden MG
    Nature; 2021 Nov; 599(7884):302-307. PubMed ID: 34671163
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Metabolomics in cancer research and emerging applications in clinical oncology.
    Schmidt DR; Patel R; Kirsch DG; Lewis CA; Vander Heiden MG; Locasale JW
    CA Cancer J Clin; 2021 Jul; 71(4):333-358. PubMed ID: 33982817
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Serum metabolomics analysis for the progression of esophageal squamous cell carcinoma.
    Li X; Zhao L; Wei M; Lv J; Sun Y; Shen X; Zhao D; Xue F; Zhang T; Wang J
    J Cancer; 2021; 12(11):3190-3197. PubMed ID: 33976728
    [No Abstract]   [Full Text] [Related]  

  • 25. Identification of diagnostic markers and lipid dysregulation in oesophageal squamous cell carcinoma through lipidomic analysis and machine learning.
    Yuan Y; Zhao Z; Xue L; Wang G; Song H; Pang R; Zhou J; Luo J; Song Y; Yin Y
    Br J Cancer; 2021 Aug; 125(3):351-357. PubMed ID: 33953345
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Metabolomics, metabolic flux analysis and cancer pharmacology.
    Liang L; Sun F; Wang H; Hu Z
    Pharmacol Ther; 2021 Aug; 224():107827. PubMed ID: 33662451
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Precision screening for esophageal squamous cell carcinoma in China.
    He Z; Ke Y
    Chin J Cancer Res; 2020 Dec; 32(6):673-682. PubMed ID: 33446991
    [TBL] [Abstract][Full Text] [Related]  

  • 28. A lipidome atlas in MS-DIAL 4.
    Tsugawa H; Ikeda K; Takahashi M; Satoh A; Mori Y; Uchino H; Okahashi N; Yamada Y; Tada I; Bonini P; Higashi Y; Okazaki Y; Zhou Z; Zhu ZJ; Koelmel J; Cajka T; Fiehn O; Saito K; Arita M; Arita M
    Nat Biotechnol; 2020 Oct; 38(10):1159-1163. PubMed ID: 32541957
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Untargeted Metabolomics Analysis of Esophageal Squamous Cell Carcinoma Discovers Dysregulated Metabolic Pathways and Potential Diagnostic Biomarkers.
    Zhu ZJ; Qi Z; Zhang J; Xue WH; Li LF; Shen ZB; Li ZY; Yuan YL; Wang WB; Zhao J
    J Cancer; 2020; 11(13):3944-3954. PubMed ID: 32328198
    [No Abstract]   [Full Text] [Related]  

  • 30. A systematic review of metabolomic profiling of gastric cancer and esophageal cancer.
    Huang S; Guo Y; Li Z; Zhang Y; Zhou T; You W; Pan K; Li W
    Cancer Biol Med; 2020 Feb; 17(1):181-198. PubMed ID: 32296585
    [No Abstract]   [Full Text] [Related]  

  • 31. Metabolic and lipidomic characterization of malignant pleural effusion in human lung cancer.
    Yang Z; Song Z; Chen Z; Guo Z; Jin H; Ding C; Hong Y; Cai Z
    J Pharm Biomed Anal; 2020 Feb; 180():113069. PubMed ID: 31884394
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Clinical and translational advances in esophageal squamous cell carcinoma.
    Reichenbach ZW; Murray MG; Saxena R; Farkas D; Karassik EG; Klochkova A; Patel K; Tice C; Hall TM; Gang J; Parkman HP; Ward SJ; Tétreault MP; Whelan KA
    Adv Cancer Res; 2019; 144():95-135. PubMed ID: 31349905
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Screening for esophageal squamous cell carcinoma: recent advances.
    Codipilly DC; Qin Y; Dawsey SM; Kisiel J; Topazian M; Ahlquist D; Iyer PG
    Gastrointest Endosc; 2018 Sep; 88(3):413-426. PubMed ID: 29709526
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Applications of metabolomics to study cancer metabolism.
    Kaushik AK; DeBerardinis RJ
    Biochim Biophys Acta Rev Cancer; 2018 Aug; 1870(1):2-14. PubMed ID: 29702206
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Cardiovascular Event Prediction by Machine Learning: The Multi-Ethnic Study of Atherosclerosis.
    Ambale-Venkatesh B; Yang X; Wu CO; Liu K; Hundley WG; McClelland R; Gomes AS; Folsom AR; Shea S; Guallar E; Bluemke DA; Lima JAC
    Circ Res; 2017 Oct; 121(9):1092-1101. PubMed ID: 28794054
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Epidemiology, etiology, and prevention of esophageal squamous cell carcinoma in China.
    Liang H; Fan JH; Qiao YL
    Cancer Biol Med; 2017 Feb; 14(1):33-41. PubMed ID: 28443201
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Machine learning applications in cancer prognosis and prediction.
    Kourou K; Exarchos TP; Exarchos KP; Karamouzis MV; Fotiadis DI
    Comput Struct Biotechnol J; 2015; 13():8-17. PubMed ID: 25750696
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Esophageal cancer: A Review of epidemiology, pathogenesis, staging workup and treatment modalities.
    Napier KJ; Scheerer M; Misra S
    World J Gastrointest Oncol; 2014 May; 6(5):112-20. PubMed ID: 24834141
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Plasma-based lipidomics reveals potential diagnostic biomarkers for esophageal squamous cell carcinoma: a retrospective study.
    Chen Y; Gu Y; Rong J; Xu L; Huang X; Zhu J; Chen Z; Mao W
    PeerJ; 2024; 12():e17272. PubMed ID: 38699187
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Blood-based biomarkers for early detection of esophageal squamous cell carcinoma.
    Chu LY; Peng YH; Weng XF; Xie JJ; Xu YW
    World J Gastroenterol; 2020 Apr; 26(15):1708-1725. PubMed ID: 32351288
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 3.