Results 151 to 160 of about 919,731 (432)

Zebrafish Model of MLL-Rearranged Acute Myeloid Leukemia [PDF]

, 2020
Background: Acute myeloid leukemia (AML) is the second most common type of leukemia. Standard treatment includes chemotherapy as well as stem cell transplantation, but for aging patients and those with impaired immune function these rigorous therapies ...
Belt, Alex, Corey, Seth J., Grant, Steven, Rothschild, Sarah C., Tombes, Robert M.   +4 more
core   +1 more source

Targeting self-renewal pathways in myeloid malignancies [PDF]

, 2013
A fundamental property of hematopoietic stem cells (HSCs) is the ability to self-renew. This is a complex process involving multiple signal transduction cascades which control the fine balance between self-renewal and differentiation through ...
Copland, M., Sands, W.A., Wheadon, H.
core   +2 more sources

Analysis of comprehensive genomic profiling of solid tumors with a novel assay for broad analysis in clinical diagnostics

Molecular Oncology, EarlyView.
In molecular cancer diagnostics, comprehensive genomic profiling (CGP) is going to replace the small NGS panels since it provides all clinically relevant somatic variants as well as genomic biomarkers with clinical value. Here, we compared two CGP assays and demonstrate that the choice for diagnostic implementation will depend on the specific ...
Guy Froyen, Pieter‐Jan Volders, Ellen Geerdens, Severine Berden, Joni Van der Meulen, Aaron De Cock, Stefanie Vermeire, Jacques Van Huysse, Marie de Barsy, Gabriela Beniuga, Wendy W. J. de Leng, Anne M. L. Jansen, Imke Demers, Zeliha Ozgur, Hendrikus Jan Dubbink, Ernst‐Jan M. Speel, Wilfred F. J. van IJcken, Brigitte Maes   +17 more
wiley   +1 more source

Single-cell analysis reveals fibroblast heterogeneity and myeloid-derived adipocyte progenitors in murine skin wounds

Nature Communications, 2019
During wound healing in adult mouse skin, hair follicles and then adipocytes regenerate. Adipocytes regenerate from myofibroblasts, a specialized contractile wound fibroblast. Here we study wound fibroblast diversity using single-cell RNA-sequencing.
C. Guerrero-Juarez, Priya H. Dedhia, Suoqin Jin, Rolando Ruiz-Vega, Dennis Ma, Yuchen Liu, Kosuke Yamaga, O. Shestova, Denise L. Gay, Zaixin Yang, K. Kessenbrock, Q. Nie, W. Pear, G. Cotsarelis, M. Plikus   +14 more
semanticscholar   +1 more source

Polyphenon E enhances the antitumor immune response in neuroblastoma by inactivating myeloid suppressor cells [PDF]

, 2013
This is the author's accepted manuscript. The final published article is available from the link below. Note: In this manuscript as well as in the original published version of this article the word "Polyphenon" was incorrectly spelled in the title as ...
Adrian J. Thrasher, Arturo Sala, Chow, Croce, Dale, Daniel A. Morgenstern, Giorgia Santilli, Ikeda, Izabela Piotrowska, John Anderson, Katie Pearson, Marco D'Alicarnasso, Nourredine Himoudi, Olesya Chayka, Sandra Cantilena   +14 more
core   +2 more sources

Peripheral blood proteome biomarkers distinguish immunosuppressive features of cancer progression

Molecular Oncology, EarlyView.
Immune status significantly influences cancer progression. This study used plasma proteomics to analyze benign 67NR and malignant 4T1 breast tumor models at early and late tumor stages. Immune‐related proteins–osteopontin (Spp1), lactotransferrin (Ltf), calreticulin (Calr) and peroxiredoxin 2 (Prdx2)–were associated with systemic myeloid‐derived ...
Yeon Ji Park, Jae Won Oh, Hyewon Chung, Jung Won Kwon, Yi Rang Na, Kwang Pyo Kim, Seung Hyeok Seok   +6 more
wiley   +1 more source

Classification of acute myeloid leukemia based on multi‐omics and prognosis prediction value

Molecular Oncology, EarlyView.
The Unsupervised AML Multi‐Omics Classification System (UAMOCS) integrates genomic, methylation, and transcriptomic data to categorize AML patients into three subtypes (UAMOCS1‐3). This classification reveals clinical relevance, highlighting immune and chromosomal characteristics, prognosis, and therapeutic vulnerabilities.
Yang Song, Zhe Wang, Guangji Zhang, Jiangxue Hou, Kaiqi Liu, Shuning Wei, Yan Li, Chunlin Zhou, Dong Lin, Min Wang, Hui Wei, Jianxiang Wang, Tao Cheng, Yingchang Mi   +13 more
wiley   +1 more source

IRE1 alpha may be causing abnormal loss of p53 at post transcriptional level in chronic myeloid leukemia [PDF]

arXiv, 2017
Current treatment strategy for chronic myeloid leukemia (CML) mainly includes inhibition of tyrosine kinase activity, which has dramatically improved the prognosis of the disease but without cure. In addition some patients may become drug resistant. Thus there is still the need for other therapies to avoid resistance and if possible to cure the disease.
arxiv  

Prediction of acute myeloid leukaemia risk in healthy individuals

Nature, 2018
The incidence of acute myeloid leukaemia (AML) increases with age and mortality exceeds 90% when diagnosed after age 65. Most cases arise without any detectable early symptoms and patients usually present with the acute complications of bone marrow ...
Sagi Abelson, G. Collord, Stanley W. K. Ng, O. Weissbrod, N. M. Cohen, E. Niemeyer, Noam Barda, P. Zuzarte, Lawrence E Heisler, Y. Sundaravadanam, R. Luben, S. Hayat, Ting Ting Wang, Zhen Zhao, I. Cirlan, Trevor J Pugh, David Soave, Karen Ng, Calli Latimer, Claire W. Hardy, K. Raine, David Jones, Diana Hoult, Abigail Britten, J. McPherson, M. Johansson, Faridah Mbabaali, Jenna Eagles, Jessica K. Miller, Daniel M. Pasternack, Lee E. Timms, P. Krzyzanowski, P. Awadalla, Rui J. Costa, E. Segal, S. Bratman, P. Beer, S. Behjati, I. Martincorena, Jean C. Y. Wang, K. Bowles, J. Quirós, A. Karakatsani, C. la Vecchia, A. Trichopoulou, E. Salamanca-Fernández, J. Huerta, A. Barricarte, R. Travis, R. Tumino, G. Masala, H. Boeing, S. Panico, R. Kaaks, A. Krämer, S. Sieri, E. Riboli, P. Vineis, M. Foll, J. Mckay, S. Polidoro, N. Sala, K. Khaw, R. Vermeulen, P. Campbell, E. Papaemmanuil, M. Minden, A. Tanay, R. Balicer, N. Wareham, M. Gerstung, J. Dick, P. Brennan, G. Vassiliou, L. Shlush   +74 more
semanticscholar   +1 more source

Neutrophils in cancer: neutral no more [PDF]

, 2016
Neutrophils are indispensable antagonists of microbial infection and facilitators of wound healing. In the cancer setting, a newfound appreciation for neutrophils has come into view.
A Blaisdell, A Carus, A Görgens, A Hasenberg, A Kohler, A Mantovani, A Sparmann, A Stoppacciaro, A Swierczak, A Warnatsch, AD Friedman, AD Panopoulos, AJ Casbon, AJ Gentles, AJ Templeton, AK Mankan, AM Houghton, AM Wengner, AP Tittel, AS Chung, B Ruffell, BK Popivanova, BT Suratt, BZ Qian, C Cheretakis, C Gordy, C Martin, CF Wu, CH Ries, CL Semerad, CL Semerad, D Di Mitri, D Marvel, D Metcalf, D Zhang, DI Gabrilovich, DJ Cua, DR Welch, E Elinav, EB Eruslanov, EI Deryugina, EM Bekes, F Chen, F Colotta, F Kuonen, F Liu, F Liu, F Rosenbauer, F Shojaei, F Shojaei, F Shojaei, F Shojaei, G Molineux, G Wang, GJ Guthrie, GJ Lieschke, GO Ahn, H Hirai, H Ji, H Katoh, H Nozawa, H Takahashi, H Tazawa, HH Yan, HK Jensen, HK Kim, HL Rao, HS Deshmukh, I Mishalian, I Petit, J Adolfsson, J Cools-Lartigue, J Crawford, J Jablonska, J Jiao, J Mei, J Pillay, J Pillay, J Pillay, J Sceneay, JC Pahler, JD Spicer, JD Waight, JD Waight, JF Seymour, JI Youn, JI Youn, JL Granick, JL Guerriero, JM Daley, JM Petty, JP Levesque, JT Dancey, JT Erler, JY Sagiv, K Fiedler, K Kersten, K Kim, K Shang, K Shitara, K Tomihara, KA Charles, Karin E. de Visser, KE De Visser, KH Steinbach, KJ Eash, KJ Eash, L Benevides, L Deng, L Gong, L Strauss, L Yang, L Yang, LA Pekarek, LB Rivera, LJ Bayne, LM Coussens, LP Seung, M Bodogai, M Bruchard, M Di Maio, M Elkabets, M Hager, M Ishikawa, M Kowanetz, M Papaspyridonos, M Santoni, M Van Egmond, M Wislez, MA Lopez-Lago, MA Postow, MA Stark, Max D. Wellenstein, MF Denny, MG Manz, MH Kim, MK Richards, MK Srivastava, MP Keane, MT O'Toole, N Antonio, N Borregaard, N Borregaard, P Andreu, P Ehrlich, P Schwarzenberger, P Wu, PC Burdon, PC Vincent, PJ Murray, Q Ma, R Bertini, R Catena, R Noy, RA Caruso, RA Droeser, RN Kaplan, S Acharyya, S Basu, S Dogan, S Hiratsuka, S Tazzyman, S Tazzyman, S Tu, SB Coffelt, SB Coffelt, SB Forlow, Seth B. Coffelt, SH Chang, SH Saverymuttu, SI Rennard, SJ Huh, SJ Moghaddam, SK Bunt, SK Wculek, SL Gaffen, SL Highfill, T Bald, T El Rayes, T Jamieson, T Kitamura, T Lämmermann, T Tak, T Voloshin, T Yamanaka, TE Sutherland, TO Jensen, V Cortez-Retamozo, V Finisguerra, VT Phan, WJ McKinstry, X Qu, X Song, XD Yang, Y Carmi, Y Han, Y Ma, Y Pang, Y Pylayeva-Gupta, Y Sawanobori, Y Tsuda, Y Ueda, Y Ueda, Z Granot, Z Li, ZG Fridlender   +205 more
core   +1 more source