BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

Terms: = Endocrine gland cancer AND CTLA4, ALPS5, CD, CD152, CELIAC3, CTLA-4, GRD4, GSE, IDDM12 AND Prognosis
111 results:

  • 1. Machine learning developed a fibroblast-related signature for predicting clinical outcome and drug sensitivity in ovarian cancer.
    Fu W; Feng Q; Tao R
    Medicine (Baltimore); 2024 Apr; 103(16):e37783. PubMed ID: 38640321
    [TBL] [Abstract] [Full Text] [Related]  

  • 2. Machine learning developed a CD8
    Chen R; Zheng Y; Fei C; Ye J; Fei H
    Sci Rep; 2024 Mar; 14(1):5794. PubMed ID: 38461331
    [TBL] [Abstract] [Full Text] [Related]  

  • 3. An exosome-derived lncRNA signature identified by machine learning associated with prognosis and biomarkers for immunotherapy in ovarian cancer.
    Cui Y; Zhang W; Lu W; Feng Y; Wu X; Zhuo Z; Zhang D; Zhang Y
    Front Immunol; 2024; 15():1228235. PubMed ID: 38404588
    [TBL] [Abstract] [Full Text] [Related]  

  • 4. Periostin is associated with prognosis and immune cell infiltration in pancreatic adenocarcinoma based on integrated bioinformatics analysis.
    Chen Y; Zhang F; Zhang B; Trojanowicz B; Hämmerle M; Kleeff J; Sunami Y
    Cancer Rep (Hoboken); 2024 Feb; 7(2):e1990. PubMed ID: 38389400
    [TBL] [Abstract] [Full Text] [Related]  

  • 5. Clinical Spectrum of USP8 Pathogenic Variants in Cushing's Disease.
    Rebollar-Vega RG; Zuarth-Vázquez JM; Hernández-Ramírez LC
    Arch Med Res; 2023 Dec; 54(8):102899. PubMed ID: 37925320
    [TBL] [Abstract] [Full Text] [Related]  

  • 6. Machine Learning Developed a Programmed Cell Death Signature for Predicting prognosis, Ecosystem, and Drug Sensitivity in Ovarian cancer.
    Wang L; Chen X; Song L; Zou H
    Anal Cell Pathol (Amst); 2023; 2023():7365503. PubMed ID: 37868825
    [TBL] [Abstract] [Full Text] [Related]  

  • 7. S100P as a potential biomarker for immunosuppressive microenvironment in pancreatic cancer: a bioinformatics analysis and in vitro study.
    Hao W; Zhang Y; Dou J; Cui P; Zhu J
    BMC Cancer; 2023 Oct; 23(1):997. PubMed ID: 37853345
    [TBL] [Abstract] [Full Text] [Related]  

  • 8. Machine learning developed a PI3K/Akt pathway-related signature for predicting prognosis and drug sensitivity in ovarian cancer.
    Han X; Yang L; Tian H; Ji Y
    Aging (Albany NY); 2023 Oct; 15(20):11162-11183. PubMed ID: 37851341
    [TBL] [Abstract] [Full Text] [Related]  

  • 9. Pro-tumor Tfh2 cells induce detrimental IgG4 production and PGE
    De Monte L; Clemente F; Ruggiero E; Pini R; Ceraolo MG; Schiavo Lena M; Balestrieri C; Lazarevic D; Belfiori G; Crippa S; Balzano G; Falconi M; Doglioni C; Bonini C; Reni M; Protti MP
    EBioMedicine; 2023 Nov; 97():104819. PubMed ID: 37776595
    [TBL] [Abstract] [Full Text] [Related]  

  • 10. Establishment and validation of an immune infiltration predictive model for ovarian cancer.
    Song Z; Zhang J; Sun Y; Jiang Z; Liu X
    BMC Med Genomics; 2023 Sep; 16(1):227. PubMed ID: 37759229
    [TBL] [Abstract] [Full Text] [Related]  

  • 11. A Novel pyroptosis-related signature for predicting prognosis and evaluating tumor immune microenvironment in ovarian cancer.
    Yang J; Wang C; Zhang Y; Cheng S; Xu Y; Wang Y
    J Ovarian Res; 2023 Sep; 16(1):196. PubMed ID: 37730669
    [TBL] [Abstract] [Full Text] [Related]  

  • 12. Scoulerine promotes cytotoxicity and attenuates stemness in ovarian cancer by targeting PI3K/AKT/mTOR axis.
    Wang F; Zhang Y; Pang R; Shi S; Wang R
    Acta Pharm; 2023 Sep; 73(3):475-488. PubMed ID: 37708956
    [TBL] [Abstract] [Full Text] [Related]  

  • 13. A methylation- and immune-related lncRNA signature to predict ovarian cancer outcome and uncover mechanisms of chemoresistance.
    Chen L; Gao W; Lin L; Sha C; Li T; Chen Q; Wei H; Yang M; Xing J; Zhang M; Zhao S; Xu W; Li Y; Long L; Zhu X
    J Ovarian Res; 2023 Sep; 16(1):186. PubMed ID: 37674251
    [TBL] [Abstract] [Full Text] [Related]  

  • 14. Molecular features, biological behaviors and clinical implications of m
    Zhan M; Song H; Tian D; Wen Q; Shi X; Wang Y; Mao X; Wang J
    Cancer Biol Ther; 2023 Dec; 24(1):2223382. PubMed ID: 37332118
    [TBL] [Abstract] [Full Text] [Related]  

  • 15. Analysis of characteristics of four patients with adrenal unicentric Castleman disease.
    Yu H; Wang Y; Li Y; Du J; Guo Q; Gu W; Lyu Z; Dou J; Mu Y; Zang L
    Front Endocrinol (Lausanne); 2023; 14():1181929. PubMed ID: 37265694
    [TBL] [Abstract] [Full Text] [Related]  

  • 16. Identification of a New m6A Regulator-Related Methylation Signature for Predicting the prognosis and Immune Microenvironment of Patients with Pancreatic cancer.
    Zou T; Shi D; Wang W; Chen G; Zhang X; Tian Y; Gong P
    Mediators Inflamm; 2023; 2023():5565054. PubMed ID: 37181810
    [TBL] [Abstract] [Full Text] [Related]  

  • 17. A novel autophagy-related gene signature associated with prognosis and immune microenvironment in ovarian cancer.
    Yang J; Wang C; Zhang Y; Cheng S; Wu M; Gu S; Xu S; Wu Y; Wang Y
    J Ovarian Res; 2023 Apr; 16(1):86. PubMed ID: 37120633
    [TBL] [Abstract] [Full Text] [Related]  

  • 18. Identification of m6A-associated LncRNAs as predict factors for the immune infiltration and prognosis of thyroid cancer.
    Su Y; Xu B; Li J; Shen Q; Lei Z; Ma M; Zhang F; Hu T
    Ann Med; 2023 Dec; 55(1):1298-1316. PubMed ID: 36974635
    [TBL] [Abstract] [Full Text] [Related]  

  • 19. The specific phagocytosis regulators could predict recurrence and therapeutic effect in thyroid cancer: A study based on bioinformatics analysis.
    Hou C; Wu M; Zhang H; Yang Z
    Medicine (Baltimore); 2023 Mar; 102(11):e33290. PubMed ID: 36930113
    [TBL] [Abstract] [Full Text] [Related]  

  • 20. Cyclodextrin Conjugated α-Bisabolol Suppresses FAK Phosphorylation and Induces Apoptosis in Pancreatic cancer.
    Kano MT; Kokuryo T; Baba T; Yamazaki K; Yamaguchi J; Sunagawa M; Ogura A; Watanabe N; Onoe S; Miyata K; Mizuno T; Uehara K; Igami T; Yokoyama Y; Ebata T; Nagino M
    Anticancer Res; 2023 Mar; 43(3):1009-1016. PubMed ID: 36854520
    [TBL] [Abstract] [Full Text] [Related]  


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