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    A CTC-Cluster-Specific Signature Derived from OMICS Analysis of Patient-Derived Xenograft Tumors Predicts Outcomes in Basal-Like Breast Cancer

    المؤلفون: Hariprasad Thangavel, Mario Giuliano, Lacey E. Dobrolecki, Mohit Kumar Jolly, C. Kent Osborne, Herbert Levine, Chandandeep Nagi, Rachel Schiff, Mothaffar F. Rimawi, Michael T. Lewis, Tanya Kumar, Meghana V. Trivedi, Suhas Vasaikar, Noor Mazin Abdulkareem, Carmine De Angelis, Chad J. Creighton, Bing Zhang, Sufeng Mao, Raksha Bhat, Jason T. George, Agostina Nardone, Fengju Chen

    المساهمون: Thangavel, Hariprasad, De Angelis, Carmine, Vasaikar, Suha, Bhat, Raksha, Jolly, Mohit Kumar, Nagi, Chandandeep, Creighton, Chad J, Chen, Fengju, Dobrolecki, Lacey E, George, Jason T, Kumar, Tanya, Abdulkareem, Noor Mazin, Mao, Sufeng, Nardone, Agostina, Rimawi, Mothaffar, Osborne, C Kent, Lewis, Michael T, Levine, Herbert, Zhang, Bing, Schiff, Rachel, Giuliano, Mario, Trivedi, Meghana V

    المصدر: Journal of Clinical Medicine
    Volume 8
    Issue 11
    Journal of Clinical Medicine, Vol 8, Iss 11, p 1772 (2019)

    مصطلحات موضوعية: False discovery rate, RPPA, patient-derived xenograft, lcsh:Medicine, circulating tumor cells, circulating tumor cell, Article, Transcriptome, CTC cluster, 03 medical and health sciences, transcriptomics, 0302 clinical medicine, Circulating tumor cell, Breast cancer, Centre for Biosystems Science and Engineering, medicine, B-cell lymphoma 2, Triple-negative breast cancer, 030304 developmental biology, 0303 health sciences, business.industry, lcsh:R, apoptosis, General Medicine, transcriptomic, Gene signature, medicine.disease, apoptosi, 3. Good health, Lymphoma, 030220 oncology & carcinogenesis, Cancer research, triple-negative breast cancer, Immunohistochemistry, CTC clusters, business

    وصف الملف: application/pdf; application/zip

    الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c79d31cd7705c3a50e6d75fb9541f82dTest


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  2. 2
    دورية أكاديمية
    A CTC-Cluster-Specific Signature Derived from OMICS Analysis of Patient-Derived Xenograft Tumors Predicts Outcomes in Basal-Like Breast Cancer.

    المؤلفون: Thangavel, Hariprasad, Angelis, Carmine De, Vasaikar, Suhas, Bhat, Raksha, Jolly, Mohit Kumar, Nagi, Chandandeep, Creighton, Chad J., Chen, Fengju, Dobrolecki, Lacey E., George, Jason T., Kumar, Tanya, Abdulkareem, Noor Mazin, Mao, Sufeng, Nardone, Agostina, Rimawi, Mothaffar, Osborne, C. Kent, Lewis, Michael T., Levine, Herbert, Zhang, Bing, Schiff, Rachel

    المصدر: Journal of Clinical Medicine; Nov2019, Vol. 8 Issue 11, p1772-1772, 1p

    مصطلحات موضوعية: BREAST cancer, FALSE discovery rate, PROTEIN microarrays, TUMORS, TRIPLE-negative breast cancer

    النص الكامل

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