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 *

437 related articles for article (PubMed ID: 36243806)

  • 1. Radiomics features for assessing tumor-infiltrating lymphocytes correlate with molecular traits of triple-negative breast cancer.
    Su GH; Xiao Y; Jiang L; Zheng RC; Wang H; Chen Y; Gu YJ; You C; Shao ZM
    J Transl Med; 2022 Oct; 20(1):471. PubMed ID: 36243806
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A radiomics approach to assess tumour-infiltrating CD8 cells and response to anti-PD-1 or anti-PD-L1 immunotherapy: an imaging biomarker, retrospective multicohort study.
    Sun R; Limkin EJ; Vakalopoulou M; Dercle L; Champiat S; Han SR; Verlingue L; Brandao D; Lancia A; Ammari S; Hollebecque A; Scoazec JY; Marabelle A; Massard C; Soria JC; Robert C; Paragios N; Deutsch E; Ferté C
    Lancet Oncol; 2018 Sep; 19(9):1180-1191. PubMed ID: 30120041
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Magnetic resonance imaging radiomics predicts preoperative axillary lymph node metastasis to support surgical decisions and is associated with tumor microenvironment in invasive breast cancer: A machine learning, multicenter study.
    Yu Y; He Z; Ouyang J; Tan Y; Chen Y; Gu Y; Mao L; Ren W; Wang J; Lin L; Wu Z; Liu J; Ou Q; Hu Q; Li A; Chen K; Li C; Lu N; Li X; Su F; Liu Q; Xie C; Yao H
    EBioMedicine; 2021 Jul; 69():103460. PubMed ID: 34233259
    [TBL] [Abstract][Full Text] [Related]  

  • 4. CT-based radiomics signature to predict CD8+ tumor infiltrating lymphocytes in non-small-cell lung cancer.
    Chen Y; Xu T; Jiang C; You S; Cheng Z; Gong J
    Acta Radiol; 2023 Apr; 64(4):1390-1399. PubMed ID: 36120843
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Clinical and radiomics integrated nomogram for preoperative prediction of tumor-infiltrating lymphocytes in patients with triple-negative breast cancer.
    Hu L; Jin P; Xu W; Wang C; Huang P
    Front Oncol; 2024; 14():1370466. PubMed ID: 38567151
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Tumor microenvironment in triple-negative breast cancer: the correlation of tumor-associated macrophages and tumor-infiltrating lymphocytes.
    Kuroda H; Jamiyan T; Yamaguchi R; Kakumoto A; Abe A; Harada O; Masunaga A
    Clin Transl Oncol; 2021 Dec; 23(12):2513-2525. PubMed ID: 34089486
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Preoperative Radiomic Approach to Evaluate Tumor-Infiltrating CD8
    Liao H; Zhang Z; Chen J; Liao M; Xu L; Wu Z; Yuan K; Song B; Zeng Y
    Ann Surg Oncol; 2019 Dec; 26(13):4537-4547. PubMed ID: 31520208
    [TBL] [Abstract][Full Text] [Related]  

  • 8. MxA expression is associated with tumor-infiltrating lymphocytes and is a prognostic factor in triple-negative breast cancer.
    Kim YA; Lee HJ; Heo SH; Park HS; Park SY; Bang W; Song IH; Park IA; Gong G
    Breast Cancer Res Treat; 2016 Apr; 156(3):597-606. PubMed ID: 27075916
    [TBL] [Abstract][Full Text] [Related]  

  • 9. The NSCLC immunotherapy response predicted by tumor-infiltrating T cells via a non-invasive radiomic approach.
    Min J; Dong F; Chen Y; Li W; Wu Y; Tan Y; Yang F; Wu P; Chai Y
    Front Immunol; 2024; 15():1379812. PubMed ID: 39315096
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Radiomic models based on magnetic resonance imaging predict the spatial distribution of CD8
    Jeon SH; Kim SW; Na K; Seo M; Sohn YM; Lim YJ
    Front Immunol; 2022; 13():1080048. PubMed ID: 36601118
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Magnetic resonance imaging and molecular features associated with tumor-infiltrating lymphocytes in breast cancer.
    Wu J; Li X; Teng X; Rubin DL; Napel S; Daniel BL; Li R
    Breast Cancer Res; 2018 Sep; 20(1):101. PubMed ID: 30176944
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Integration of tumour infiltrating lymphocytes, programmed cell-death ligand-1, CD8 and FOXP3 in prognostic models for triple-negative breast cancer: Analysis of 244 stage I-III patients treated with standard therapy.
    Dieci MV; Tsvetkova V; Griguolo G; Miglietta F; Tasca G; Giorgi CA; Cumerlato E; Massa D; Lo Mele M; Orvieto E; Guarneri V; Conte P
    Eur J Cancer; 2020 Sep; 136():7-15. PubMed ID: 32622323
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Significance of Tumor-Infiltrating Lymphocytes and the Expression of Topoisomerase IIα in the Prediction of the Clinical Outcome of Patients with Triple-Negative Breast Cancer after Taxane-Anthracycline-Based Neoadjuvant Chemotherapy.
    Rao N; Qiu J; Wu J; Zeng H; Su F; Qiu K; Wu J; Yao H
    Chemotherapy; 2017; 62(4):246-255. PubMed ID: 28472798
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Predicting the Level of Tumor-Infiltrating Lymphocytes in Patients With Breast Cancer: Usefulness of Mammographic Radiomics Features.
    Yu H; Meng X; Chen H; Liu J; Gao W; Du L; Chen Y; Wang Y; Liu X; Liu B; Fan J; Ma G
    Front Oncol; 2021; 11():628577. PubMed ID: 33777776
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Radiomics Model for Evaluating the Level of Tumor-Infiltrating Lymphocytes in Breast Cancer Based on Dynamic Contrast-Enhanced MRI.
    Xu N; Zhou J; He X; Ye S; Miao H; Liu H; Chen Z; Zhao Y; Pan Z; Wang M
    Clin Breast Cancer; 2021 Oct; 21(5):440-449.e1. PubMed ID: 33795199
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Tumor-infiltrating lymphocytes and CD8
    Vihervuori H; Autere TA; Repo H; Kurki S; Kallio L; Lintunen MM; Talvinen K; Kronqvist P
    J Cancer Res Clin Oncol; 2019 Dec; 145(12):3105-3114. PubMed ID: 31562550
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Performance of radiomics models for tumour-infiltrating lymphocyte (TIL) prediction in breast cancer: the role of the dynamic contrast-enhanced (DCE) MRI phase.
    Tang WJ; Kong QC; Cheng ZX; Liang YS; Jin Z; Chen LX; Hu WK; Liang YY; Wei XH; Guo Y; Jiang XQ
    Eur Radiol; 2022 Feb; 32(2):864-875. PubMed ID: 34430998
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Radiomics features on ultrasound imaging for the prediction of disease-free survival in triple negative breast cancer: a multi-institutional study.
    Yu F; Hang J; Deng J; Yang B; Wang J; Ye X; Liu Y
    Br J Radiol; 2021 Oct; 94(1126):20210188. PubMed ID: 34478336
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Development of a machine learning-based radiomics signature for estimating breast cancer TME phenotypes and predicting anti-PD-1/PD-L1 immunotherapy response.
    Han X; Guo Y; Ye H; Chen Z; Hu Q; Wei X; Liu Z; Liang C
    Breast Cancer Res; 2024 Jan; 26(1):18. PubMed ID: 38287356
    [TBL] [Abstract][Full Text] [Related]  

  • 20. The CD4/CD8 ratio of tumor-infiltrating lymphocytes at the tumor-host interface has prognostic value in triple-negative breast cancer.
    Wang K; Shen T; Siegal GP; Wei S
    Hum Pathol; 2017 Nov; 69():110-117. PubMed ID: 28993275
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 22.