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 *

140 related articles for article (PubMed ID: 38754473)

  • 1. A 10-Gene Signature to Predict the Prognosis of Early-Stage Triple-Negative Breast Cancer.
    Kim CM; Park KH; Yu YS; Kim JW; Park JY; Park K; Yu JH; Lee JE; Sim SH; Seo BK; Kim JK; Lee ES; Park YH; Kong SY
    Cancer Res Treat; 2024 Oct; 56(4):1113-1125. PubMed ID: 38754473
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A serum microRNA signature predicts tumor relapse and survival in triple-negative breast cancer patients.
    Kleivi Sahlberg K; Bottai G; Naume B; Burwinkel B; Calin GA; Børresen-Dale AL; Santarpia L
    Clin Cancer Res; 2015 Mar; 21(5):1207-14. PubMed ID: 25547678
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A novel prognostic two-gene signature for triple negative breast cancer.
    Alsaleem MA; Ball G; Toss MS; Raafat S; Aleskandarany M; Joseph C; Ogden A; Bhattarai S; Rida PCG; Khani F; Davis M; Elemento O; Aneja R; Ellis IO; Green A; Mongan NP; Rakha E
    Mod Pathol; 2020 Nov; 33(11):2208-2220. PubMed ID: 32404959
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Comprehensive Transcriptome Profiling Reveals Multigene Signatures in Triple-Negative Breast Cancer.
    Liu YR; Jiang YZ; Xu XE; Hu X; Yu KD; Shao ZM
    Clin Cancer Res; 2016 Apr; 22(7):1653-62. PubMed ID: 26813360
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Comprehensive characterization of stemness-related lncRNAs in triple-negative breast cancer identified a novel prognostic signature related to treatment outcomes, immune landscape analysis and therapeutic guidance: a silico analysis with in vivo experiments.
    Zhang M; Zhang F; Wang J; Liang Q; Zhou W; Liu J
    J Transl Med; 2024 May; 22(1):423. PubMed ID: 38704606
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Comprehensive transcriptome analysis identifies novel molecular subtypes and subtype-specific RNAs of triple-negative breast cancer.
    Liu YR; Jiang YZ; Xu XE; Yu KD; Jin X; Hu X; Zuo WJ; Hao S; Wu J; Liu GY; Di GH; Li DQ; He XH; Hu WG; Shao ZM
    Breast Cancer Res; 2016 Mar; 18(1):33. PubMed ID: 26975198
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Highly heterogeneous-related genes of triple-negative breast cancer: potential diagnostic and prognostic biomarkers.
    Liu Y; Teng L; Fu S; Wang G; Li Z; Ding C; Wang H; Bi L
    BMC Cancer; 2021 May; 21(1):644. PubMed ID: 34053447
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A combined hypoxia and immune gene signature for predicting survival and risk stratification in triple-negative breast cancer.
    Yang X; Weng X; Yang Y; Zhang M; Xiu Y; Peng W; Liao X; Xu M; Sun Y; Liu X
    Aging (Albany NY); 2021 Aug; 13(15):19486-19509. PubMed ID: 34341184
    [TBL] [Abstract][Full Text] [Related]  

  • 9. MIR4435-2HG: A novel biomarker for triple-negative breast cancer diagnosis and prognosis, activating cancer-associated fibroblasts and driving tumor invasion through EMT associated with JNK/c-Jun and p38 MAPK signaling pathway activation.
    Gu P; Ding W; Zhu W; Shen L; Zhang L; Wang W; Wang R; Wang W; Wang Y; Yan B; Sun X
    Int Immunopharmacol; 2024 Dec; 142(Pt B):113191. PubMed ID: 39317050
    [TBL] [Abstract][Full Text] [Related]  

  • 10. The early-stage triple-negative breast cancer landscape derives a novel prognostic signature and therapeutic target.
    Yang YS; Ren YX; Liu CL; Hao S; Xu XE; Jin X; Jiang YZ; Shao ZM
    Breast Cancer Res Treat; 2022 Jun; 193(2):319-330. PubMed ID: 35334008
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Integration of whole-genome sequencing and functional screening identifies a prognostic signature for lung metastasis in triple-negative breast cancer.
    Xie G; Yang H; Ma D; Sun Y; Chen H; Hu X; Jiang YZ; Shao ZM
    Int J Cancer; 2019 Nov; 145(10):2850-2860. PubMed ID: 30977117
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Identification of a Gene Expression Signature to Predict the Risk of Early Recurrence and the Degree of Immune Cell Infiltration in Triple-negative Breast Cancer.
    Sato K; Miura K; Tamori S; Akimoto K
    Cancer Genomics Proteomics; 2024; 21(3):316-326. PubMed ID: 38670590
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A seven-gene signature can predict distant recurrence in patients with triple-negative breast cancers who receive adjuvant chemotherapy following surgery.
    Park YH; Jung HH; Do IG; Cho EY; Sohn I; Jung SH; Kil WH; Kim SW; Lee JE; Nam SJ; Ahn JS; Im YH
    Int J Cancer; 2015 Apr; 136(8):1976-84. PubMed ID: 25537444
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Prognostic Value of a Glycolytic Signature and Its Regulation by Y-Box-Binding Protein 1 in Triple-Negative Breast Cancer.
    Lai YW; Hsu WJ; Lee WY; Chen CH; Tsai YH; Dai JZ; Yang CC; Lin CW
    Cells; 2021 Jul; 10(8):. PubMed ID: 34440660
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Comprehensive analysis of novel three-long noncoding RNA signatures as a diagnostic and prognostic biomarkers of human triple-negative breast cancer.
    Fan CN; Ma L; Liu N
    J Cell Biochem; 2019 Mar; 120(3):3185-3196. PubMed ID: 30203490
    [TBL] [Abstract][Full Text] [Related]  

  • 16. miR-629-3p may serve as a novel biomarker and potential therapeutic target for lung metastases of triple-negative breast cancer.
    Wang J; Song C; Tang H; Zhang C; Tang J; Li X; Chen B; Xie X
    Breast Cancer Res; 2017 Jun; 19(1):72. PubMed ID: 28629464
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A panel of eight microRNAs is a good predictive parameter for triple-negative breast cancer relapse.
    Hong HC; Chuang CH; Huang WC; Weng SL; Chen CH; Chang KH; Liao KW; Huang HD
    Theranostics; 2020; 10(19):8771-8789. PubMed ID: 32754277
    [No Abstract]   [Full Text] [Related]  

  • 18. Identification of an immune cell infiltration-related gene signature for prognosis prediction in triple-negative breast cancer.
    Wang Y; Zhang N; Zhang B; Chen Y
    Cell Mol Biol (Noisy-le-grand); 2024 Oct; 70(9):91-98. PubMed ID: 39380273
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Integrated machine learning algorithms identify KIF15 as a potential prognostic biomarker and correlated with stemness in triple-negative breast cancer.
    Guo Q; Qiu P; Pan K; Liang H; Liu Z; Lin J
    Sci Rep; 2024 Sep; 14(1):21449. PubMed ID: 39271768
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Comparative proteome analysis revealing an 11-protein signature for aggressive triple-negative breast cancer.
    Liu NQ; Stingl C; Look MP; Smid M; Braakman RB; De Marchi T; Sieuwerts AM; Span PN; Sweep FC; Linderholm BK; Mangia A; Paradiso A; Dirix LY; Van Laere SJ; Luider TM; Martens JW; Foekens JA; Umar A
    J Natl Cancer Inst; 2014 Feb; 106(2):djt376. PubMed ID: 24399849
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.