 Connection
Gareth Morgan to Melphalan
This is a "connection" page, showing publications Gareth Morgan has written about Melphalan.
|
|
| |
Connection Strength |
|
 |
|
 |
| |
0.884 |
|
|
|
-
Sudha P, Johnson TS, Hamidi H, Yang K, Liu E, Smith B, Chopra V, Nixon M, Zafar F, Farag SS, Morgan GJ, Landgren O, Lee K, Suvannasankha A, Czader M, Abonour R, Abu Zaid M, Walker BA. Identification of the Distinct Immune Microenvironment Features Associated with Progression Following High-Dose Melphalan and Autologous Stem Cell Transplant in Multiple Myeloma. Cancer Immunol Res. 2025 Jul 02; 13(7):1070-1079.
Score: 0.228
-
Alvares CL, Davies FE, Horton C, Patel G, Powles R, Sirohi B, Zuha R, Gatt A, Saso R, Treleaven JG, Dearden CE, Potter MN, Ethell ME, Morgan GJ. Long-term outcomes of previously untreated myeloma patients: responses to induction chemotherapy and high-dose melphalan incorporated within a risk stratification model can help to direct the use of novel treatments. Br J Haematol. 2005 Jun; 129(5):607-14.
Score: 0.226
-
Bygrave C, Pawlyn C, Davies F, Craig Z, Cairns D, Hockaday A, Jenner M, Cook G, Drayson M, Owen R, Gregory W, Morgan G, Jackson G, Kaiser M. Early relapse after high-dose melphalan autologous stem cell transplant predicts inferior survival and is associated with high disease burden and genetically high-risk disease in multiple myeloma. Br J Haematol. 2021 05; 193(3):551-555.
Score: 0.160
-
Maura F, Rajanna AR, Ziccheddu B, Poos AM, Derkach A, Maclachlan K, Durante M, Diamond B, Papadimitriou M, Davies F, Boyle EM, Walker B, Hultcrantz M, Silva A, Hampton O, Teer JK, Siegel EM, Bolli N, Jackson GH, Kaiser M, Pawlyn C, Cook G, Kazandjian D, Stein C, Chesi M, Bergsagel L, Mai EK, Goldschmidt H, Weisel KC, Fenk R, Raab MS, Van Rhee F, Usmani S, Shain KH, Weinhold N, Morgan G, Landgren O. Genomic Classification and Individualized Prognosis in Multiple Myeloma. J Clin Oncol. 2024 04 10; 42(11):1229-1240.
Score: 0.051
-
Diamond B, Ziccheddu B, Maclachlan K, Taylor J, Boyle E, Ossa JA, Jahn J, Affer M, Totiger TM, Coffey D, Chandhok N, Watts J, Cimmino L, Lu SX, Bolli N, Bolton K, Landau H, Park JH, Ganesh K, McPherson A, Sekeres MA, Lesokhin A, Chung DJ, Zhang Y, Ho C, Roshal M, Tyner J, Nimer S, Papaemmanuil E, Usmani S, Morgan G, Landgren O, Maura F. Tracking the evolution of therapy-related myeloid neoplasms using chemotherapy signatures. Blood. 2023 05 11; 141(19):2359-2371.
Score: 0.049
-
Rawstron AC, Davies FE, DasGupta R, Ashcroft AJ, Patmore R, Drayson MT, Owen RG, Jack AS, Child JA, Morgan GJ. Flow cytometric disease monitoring in multiple myeloma: the relationship between normal and neoplastic plasma cells predicts outcome after transplantation. Blood. 2002 Nov 01; 100(9):3095-100.
Score: 0.047
-
Croft J, Ellis S, Sherborne AL, Sharp K, Price A, Jenner MW, Drayson MT, Owen RG, Chown S, Lindsay J, Karunanithi K, Hunter H, Gregory WM, Davies FE, Morgan GJ, Cook G, Atanesyan L, Savola S, Cairns DA, Jackson G, Houlston RS, Kaiser MF. Copy number evolution and its relationship with patient outcome-an analysis of 178 matched presentation-relapse tumor pairs from the Myeloma XI trial. Leukemia. 2021 07; 35(7):2043-2053.
Score: 0.041
-
Bradbury CA, Craig Z, Cook G, Pawlyn C, Cairns DA, Hockaday A, Paterson A, Jenner MW, Jones JR, Drayson MT, Owen RG, Kaiser MF, Gregory WM, Davies FE, Child JA, Morgan GJ, Jackson GH. Thrombosis in patients with myeloma treated in the Myeloma IX and Myeloma XI phase 3 randomized controlled trials. Blood. 2020 08 27; 136(9):1091-1104.
Score: 0.041
-
Landau HJ, Yellapantula V, Diamond BT, Rustad EH, Maclachlan KH, Gundem G, Medina-Martinez J, Ossa JA, Levine MF, Zhou Y, Kappagantula R, Baez P, Attiyeh M, Makohon-Moore A, Zhang L, Boyle EM, Ashby C, Blaney P, Patel M, Zhang Y, Dogan A, Chung DJ, Giralt S, Lahoud OB, Peled JU, Scordo M, Shah G, Hassoun H, Korde NS, Lesokhin AM, Lu S, Mailankody S, Shah U, Smith E, Hultcrantz ML, Ulaner GA, van Rhee F, Morgan GJ, Landgren O, Papaemmanuil E, Iacobuzio-Donahue C, Maura F. Accelerated single cell seeding in relapsed multiple myeloma. Nat Commun. 2020 07 17; 11(1):3617.
Score: 0.040
|
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.
|