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Characterization of single disseminated prostate cancer cells reveals tumor cell heterogeneity and identifies dormancy associated pathways

التفاصيل البيبلوغرافية
العنوان: Characterization of single disseminated prostate cancer cells reveals tumor cell heterogeneity and identifies dormancy associated pathways
المؤلفون: Roger Coleman, Linda A. Snyder, Paul H. Lange, Hung-Ming Lam, Colm Morrissey, Ilsa Coleman, Robert L. Vessella, Sandy Larson, Bryce Lakely, Bruce Montgomery, Julio A. Aguirre-Ghiso, Roman Gulati, Jing Xia, Lisly Chéry, Peter S. Nelson
المصدر: Oncotarget
بيانات النشر: Impact Journals LLC, 2014.
سنة النشر: 2014
مصطلحات موضوعية: Oncology, Male, medicine.medical_specialty, dormancy, MAP Kinase Signaling System, Down-Regulation, Gene Expression, p38, Biology, Disease-Free Survival, Metastasis, 03 medical and health sciences, Prostate cancer, 0302 clinical medicine, Breast cancer, Internal medicine, medicine, metastasis, Humans, 030304 developmental biology, Erythroid Precursor Cells, 0303 health sciences, Cancer, Prostatic Neoplasms, Esophageal cancer, medicine.disease, Neoplastic Cells, Circulating, Primary tumor, 3. Good health, Squamous carcinoma, 030220 oncology & carcinogenesis, Neoplastic Stem Cells, Neoplasm Recurrence, Local, Single-Cell Analysis, Cancer dormancy, Research Paper
الوصف: // Lisly Chery 1,* , Hung-Ming Lam 1,* , Ilsa Coleman 2 , Bryce Lakely 1 , Roger Coleman 2 , Sandy Larson 1 , Julio A. Aguirre-Ghiso 3 , Jing Xia 4 , Roman Gulati 4 , Peter S. Nelson 2,5 , Bruce Montgomery 5 , Paul Lange 6,1 , Linda A. Snyder 7 , Robert L. Vessella 6,1 and Colm Morrissey 1 1 Department of Urology, University of Washington, Seattle, WA 2 Divison of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, WA 3 Division of Hematology and Oncology, Department of Medicine and Department of Otolaryngology, Tisch Cancer Institute, Black Family Stem Cell Institute, Ichan School of Medicine at Mount Sinai, New York, NY 4 Divison of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 5 Department of Medicine, University of Washington, Seattle, WA 6 Department of Veterans Affairs Medical Center, Seattle, WA 7 Janssen Research and Development, LLC, Spring House, PA * These authors contributed equally to this work Correspondence: Colm Morrissey , email: // Keywords : Prostate cancer, dormancy, metastasis, p38, gene expression Received : July 03, 2014 Accepted : September 15, 2014 Published : September 16, 2014 Abstract Cancer dormancy refers to the prolonged clinical disease-free time between removal of the primary tumor and recurrence, which is common in prostate cancer (PCa), breast cancer, esophageal cancer, and other cancers. PCa disseminated tumor cells (DTC) are detected in both patients with no evidence of disease (NED) and advanced disease (ADV). However, the molecular and cellular nature of DTC is unknown. We performed a first-in-field study of single DTC transcriptomic analyses in cancer patients to identify a molecular signature associated with cancer dormancy. We profiled eighty-five individual EpCAM + /CD45 - cells from the bone marrow of PCa patients with NED or ADV. We analyzed 44 DTC with high prostate-epithelial signatures, and eliminated 41 cells with high erythroid signatures and low prostate epithelial signatures. DTC were clustered into 3 groups: NED, ADV_1, and ADV_2, in which the ADV_1 group presented a distinct gene expression pattern associated with the p38 stress activated kinase pathway. Additionally, DTC from the NED group were enriched for a tumor dormancy signature associated with head and neck squamous carcinoma and breast cancer. This study provides the first clinical evidence of the p38 pathway as a potential biomarker for early recurrence and an attractive target for therapeutic intervention.
اللغة: English
تدمد: 1949-2553
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d8537d14502520b5563067cadee3c18
http://europepmc.org/articles/PMC4259449
Rights: OPEN
رقم الانضمام: edsair.doi.dedup.....7d8537d14502520b5563067cadee3c18
قاعدة البيانات: OpenAIRE
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