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Connection

Bayard Powell to Nuclear Proteins

This is a "connection" page, showing publications Bayard Powell has written about Nuclear Proteins.
Connection Strength

0.298
  1. Becker H, Marcucci G, Maharry K, Radmacher MD, Mrózek K, Margeson D, Whitman SP, Wu YZ, Schwind S, Paschka P, Powell BL, Carter TH, Kolitz JE, Wetzler M, Carroll AJ, Baer MR, Caligiuri MA, Larson RA, Bloomfield CD. Favorable prognostic impact of NPM1 mutations in older patients with cytogenetically normal de novo acute myeloid leukemia and associated gene- and microRNA-expression signatures: a Cancer and Leukemia Group B study. J Clin Oncol. 2010 Feb 01; 28(4):596-604.
    View in: PubMed
    Score: 0.089
  2. Walker CJ, Kohlschmidt J, Eisfeld AK, Mrózek K, Liyanarachchi S, Song C, Nicolet D, Blachly JS, Bill M, Papaioannou D, Oakes CC, Giacopelli B, Genutis LK, Maharry SE, Orwick S, Archer KJ, Powell BL, Kolitz JE, Uy GL, Wang ES, Carroll AJ, Stone RM, Byrd JC, de la Chapelle A, Bloomfield CD. Genetic Characterization and Prognostic Relevance of Acquired Uniparental Disomies in Cytogenetically Normal Acute Myeloid Leukemia. Clin Cancer Res. 2019 11 01; 25(21):6524-6531.
    View in: PubMed
    Score: 0.043
  3. Eisfeld AK, Kohlschmidt J, Mrózek K, Blachly JS, Walker CJ, Nicolet D, Orwick S, Maharry SE, Carroll AJ, Stone RM, de la Chapelle A, Wang ES, Kolitz JE, Powell BL, Byrd JC, Bloomfield CD. Mutation patterns identify adult patients with de novo acute myeloid leukemia aged 60 years or older who respond favorably to standard chemotherapy: an analysis of Alliance studies. Leukemia. 2018 06; 32(6):1338-1348.
    View in: PubMed
    Score: 0.039
  4. Madan V, Shyamsunder P, Han L, Mayakonda A, Nagata Y, Sundaresan J, Kanojia D, Yoshida K, Ganesan S, Hattori N, Fulton N, Tan KT, Alpermann T, Kuo MC, Rostami S, Matthews J, Sanada M, Liu LZ, Shiraishi Y, Miyano S, Chendamarai E, Hou HA, Malnassy G, Ma T, Garg M, Ding LW, Sun QY, Chien W, Ikezoe T, Lill M, Biondi A, Larson RA, Powell BL, Lübbert M, Chng WJ, Tien HF, Heuser M, Ganser A, Koren-Michowitz M, Kornblau SM, Kantarjian HM, Nowak D, Hofmann WK, Yang H, Stock W, Ghavamzadeh A, Alimoghaddam K, Haferlach T, Ogawa S, Shih LY, Mathews V, Koeffler HP. Comprehensive mutational analysis of primary and relapse acute promyelocytic leukemia. Leukemia. 2016 08; 30(8):1672-81.
    View in: PubMed
    Score: 0.034
  5. Lindsley RC, Mar BG, Mazzola E, Grauman PV, Shareef S, Allen SL, Pigneux A, Wetzler M, Stuart RK, Erba HP, Damon LE, Powell BL, Lindeman N, Steensma DP, Wadleigh M, DeAngelo DJ, Neuberg D, Stone RM, Ebert BL. Acute myeloid leukemia ontogeny is defined by distinct somatic mutations. Blood. 2015 Feb 26; 125(9):1367-76.
    View in: PubMed
    Score: 0.031
  6. Langer C, Marcucci G, Holland KB, Radmacher MD, Maharry K, Paschka P, Whitman SP, Mrózek K, Baldus CD, Vij R, Powell BL, Carroll AJ, Kolitz JE, Caligiuri MA, Larson RA, Bloomfield CD. Prognostic importance of MN1 transcript levels, and biologic insights from MN1-associated gene and microRNA expression signatures in cytogenetically normal acute myeloid leukemia: a cancer and leukemia group B study. J Clin Oncol. 2009 Jul 01; 27(19):3198-204.
    View in: PubMed
    Score: 0.021
  7. Marcucci G, Maharry K, Radmacher MD, Mrózek K, Vukosavljevic T, Paschka P, Whitman SP, Langer C, Baldus CD, Liu CG, Ruppert AS, Powell BL, Carroll AJ, Caligiuri MA, Kolitz JE, Larson RA, Bloomfield CD. Prognostic significance of, and gene and microRNA expression signatures associated with, CEBPA mutations in cytogenetically normal acute myeloid leukemia with high-risk molecular features: a Cancer and Leukemia Group B Study. J Clin Oncol. 2008 Nov 01; 26(31):5078-87.
    View in: PubMed
    Score: 0.020
  8. Marcucci G, Radmacher MD, Maharry K, Mrózek K, Ruppert AS, Paschka P, Vukosavljevic T, Whitman SP, Baldus CD, Langer C, Liu CG, Carroll AJ, Powell BL, Garzon R, Croce CM, Kolitz JE, Caligiuri MA, Larson RA, Bloomfield CD. MicroRNA expression in cytogenetically normal acute myeloid leukemia. N Engl J Med. 2008 May 01; 358(18):1919-28.
    View in: PubMed
    Score: 0.020
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.