251 related articles for article (PubMed ID: 32961553)
1. Machine learning demonstrates that somatic mutations imprint invariant morphologic features in myelodysplastic syndromes.
Nagata Y; Zhao R; Awada H; Kerr CM; Mirzaev I; Kongkiatkamon S; Nazha A; Makishima H; Radivoyevitch T; Scott JG; Sekeres MA; Hobbs BP; Maciejewski JP
Blood; 2020 Nov; 136(20):2249-2262. PubMed ID: 32961553
[TBL] [Abstract][Full Text] [Related]
2. Driver somatic mutations identify distinct disease entities within myeloid neoplasms with myelodysplasia.
Malcovati L; Papaemmanuil E; Ambaglio I; Elena C; Gallì A; Della Porta MG; Travaglino E; Pietra D; Pascutto C; Ubezio M; Bono E; Da Vià MC; Brisci A; Bruno F; Cremonesi L; Ferrari M; Boveri E; Invernizzi R; Campbell PJ; Cazzola M
Blood; 2014 Aug; 124(9):1513-21. PubMed ID: 24970933
[TBL] [Abstract][Full Text] [Related]
3. Co-mutation pattern, clonal hierarchy, and clone size concur to determine disease phenotype of SRSF2
Todisco G; Creignou M; Gallì A; Guglielmelli P; Rumi E; Roncador M; Rizzo E; Nannya Y; Pietra D; Elena C; Bono E; Molteni E; Rosti V; Catricalá S; Sarchi M; Dimitriou M; Ungerstedt J; Vannucchi AM; Hellström-Lindberg E; Ogawa S; Cazzola M; Malcovati L
Leukemia; 2021 Aug; 35(8):2371-2381. PubMed ID: 33349666
[TBL] [Abstract][Full Text] [Related]
4. Genomics of myelodysplastic syndrome/myeloproliferative neoplasm overlap syndromes.
Patnaik MM; Lasho TL
Hematology Am Soc Hematol Educ Program; 2020 Dec; 2020(1):450-459. PubMed ID: 33275756
[TBL] [Abstract][Full Text] [Related]
5. Clinical significance of SF3B1 mutations in myelodysplastic syndromes and myelodysplastic/myeloproliferative neoplasms.
Malcovati L; Papaemmanuil E; Bowen DT; Boultwood J; Della Porta MG; Pascutto C; Travaglino E; Groves MJ; Godfrey AL; Ambaglio I; Gallì A; Da Vià MC; Conte S; Tauro S; Keenan N; Hyslop A; Hinton J; Mudie LJ; Wainscoat JS; Futreal PA; Stratton MR; Campbell PJ; Hellström-Lindberg E; Cazzola M;
Blood; 2011 Dec; 118(24):6239-46. PubMed ID: 21998214
[TBL] [Abstract][Full Text] [Related]
6. Genetic landscape of recurrent ASXL1, U2AF1, SF3B1, SRSF2, and EZH2 mutations in 304 Chinese patients with myelodysplastic syndromes.
Wu L; Song L; Xu L; Chang C; Xu F; Wu D; He Q; Su J; Zhou L; Xiao C; Zhang Z; Zhao Y; Chen S; Li X
Tumour Biol; 2016 Apr; 37(4):4633-40. PubMed ID: 26508027
[TBL] [Abstract][Full Text] [Related]
7. Alteration of SF3B1 and SRSF2 Genes in Myelodysplastic Syndromes Patients in Upper Northern Thailand.
Yimpak P; Tantiworawit A; Rattanathammethee T; Angsuchawan S; Laowatthanapong S; Tasuya W; Bumroongkit K
Asian Pac J Cancer Prev; 2019 Apr; 20(4):1215-1221. PubMed ID: 31030497
[TBL] [Abstract][Full Text] [Related]
8. Many faces of SF3B1-mutated myeloid neoplasms: concurrent mutational profiles contribute to the diverse clinical and morphologic features.
Aqil B; Sukhanova M; Behdad A; Jennings L; Lu X; Chen Q; Chen YH; Gao J
Hum Pathol; 2022 Nov; 129():81-89. PubMed ID: 36087739
[TBL] [Abstract][Full Text] [Related]
9. Machine Learning of Bone Marrow Histopathology Identifies Genetic and Clinical Determinants in Patients with MDS.
Brück OE; Lallukka-Brück SE; Hohtari HR; Ianevski A; Ebeling FT; Kovanen PE; Kytölä SI; Aittokallio TA; Ramos PM; Porkka KV; Mustjoki SM
Blood Cancer Discov; 2021 May; 2(3):238-249. PubMed ID: 34661156
[TBL] [Abstract][Full Text] [Related]
10. Classification and Personalized Prognostic Assessment on the Basis of Clinical and Genomic Features in Myelodysplastic Syndromes.
Bersanelli M; Travaglino E; Meggendorfer M; Matteuzzi T; Sala C; Mosca E; Chiereghin C; Di Nanni N; Gnocchi M; Zampini M; Rossi M; Maggioni G; Termanini A; Angelucci E; Bernardi M; Borin L; Bruno B; Bonifazi F; Santini V; Bacigalupo A; Voso MT; Oliva E; Riva M; Ubezio M; Morabito L; Campagna A; Saitta C; Savevski V; Giampieri E; Remondini D; Passamonti F; Ciceri F; Bolli N; Rambaldi A; Kern W; Kordasti S; Sole F; Palomo L; Sanz G; Santoro A; Platzbecker U; Fenaux P; Milanesi L; Haferlach T; Castellani G; Della Porta MG
J Clin Oncol; 2021 Apr; 39(11):1223-1233. PubMed ID: 33539200
[TBL] [Abstract][Full Text] [Related]
11. Mutations affecting mRNA splicing define distinct clinical phenotypes and correlate with patient outcome in myelodysplastic syndromes.
Damm F; Kosmider O; Gelsi-Boyer V; Renneville A; Carbuccia N; Hidalgo-Curtis C; Della Valle V; Couronné L; Scourzic L; Chesnais V; Guerci-Bresler A; Slama B; Beyne-Rauzy O; Schmidt-Tanguy A; Stamatoullas-Bastard A; Dreyfus F; Prébet T; de Botton S; Vey N; Morgan MA; Cross NC; Preudhomme C; Birnbaum D; Bernard OA; Fontenay M;
Blood; 2012 Apr; 119(14):3211-8. PubMed ID: 22343920
[TBL] [Abstract][Full Text] [Related]
12. The Genetics of Myelodysplastic Syndromes: Clinical Relevance.
Chiereghin C; Travaglino E; Zampini M; Saba E; Saitta C; Riva E; Bersanelli M; Della Porta MG
Genes (Basel); 2021 Jul; 12(8):. PubMed ID: 34440317
[TBL] [Abstract][Full Text] [Related]
13. The utility of a myeloid mutation panel for the diagnosis of myelodysplastic syndrome and myelodysplastic/myeloproliferative neoplasm.
Ibrar W; Zhang W; Cox JL; Cushman-Vokoun A; Fu K; Greiner TC; Yuan J
Int J Lab Hematol; 2021 Dec; 43(6):1501-1509. PubMed ID: 34270867
[TBL] [Abstract][Full Text] [Related]
14. Myelodysplastic syndromes without peripheral monocytosis but with evidence of marrow monocytosis share clinical and molecular characteristics with CMML.
Schuler E; Frank F; Hildebrandt B; Betz B; Strupp C; Rudelius M; Aul C; Schroeder T; Gattermann N; Haas R; Germing U
Leuk Res; 2018 Feb; 65():1-4. PubMed ID: 29216536
[TBL] [Abstract][Full Text] [Related]
15. SF3B1 mutation identifies a distinct subset of myelodysplastic syndrome with ring sideroblasts.
Malcovati L; Karimi M; Papaemmanuil E; Ambaglio I; Jädersten M; Jansson M; Elena C; Gallì A; Walldin G; Della Porta MG; Raaschou-Jensen K; Travaglino E; Kallenbach K; Pietra D; Ljungström V; Conte S; Boveri E; Invernizzi R; Rosenquist R; Campbell PJ; Cazzola M; Hellström Lindberg E
Blood; 2015 Jul; 126(2):233-41. PubMed ID: 25957392
[TBL] [Abstract][Full Text] [Related]
16. SF3B1-mutated myelodysplastic syndrome with ring sideroblasts harbors more severe iron overload and corresponding over-erythropoiesis.
Zhu Y; Li X; Chang C; Xu F; He Q; Guo J; Tao Y; Liu Y; Liu L; Shi W
Leuk Res; 2016 May; 44():8-16. PubMed ID: 26970172
[TBL] [Abstract][Full Text] [Related]
17. Clinical, biological, and prognostic implications of SF3B1 co-occurrence mutations in very low/low- and intermediate-risk MDS patients.
Janusz K; Izquierdo MM; Cadenas FL; Ramos F; Sánchez JMH; Lumbreras E; Robledo C; Del Real JS; Caballero JC; Collado R; Bernal T; Pedro C; Insunza A; de Paz R; Xicoy B; Salido E; García JS; Mínguez SS; García CM; Muñoz AMS; Barba MS; Rivas JMH; Abáigar M; Campelo MD
Ann Hematol; 2021 Aug; 100(8):1995-2004. PubMed ID: 33409621
[TBL] [Abstract][Full Text] [Related]
18. Navigating Myelodysplastic and Myelodysplastic/Myeloproliferative Overlap Syndromes.
Hasserjian RP; Buckstein R; Patnaik MM
Am Soc Clin Oncol Educ Book; 2021 Mar; 41():328-350. PubMed ID: 34010050
[TBL] [Abstract][Full Text] [Related]
19. Clinical Outcomes With Ring Sideroblasts and SF3B1 Mutations in Myelodysplastic Syndromes: MDS Clinical Research Consortium Analysis.
Migdady Y; Barnard J; Al Ali N; Steensma DP; DeZern A; Roboz G; Garcia-Manero G; Sekeres MA; Komrokji RS
Clin Lymphoma Myeloma Leuk; 2018 Aug; 18(8):528-532. PubMed ID: 29937400
[TBL] [Abstract][Full Text] [Related]
20. Clinical importance of SF3B1 mutations in Chinese with myelodysplastic syndromes with ring sideroblasts.
Cui R; Gale RP; Xu Z; Qin T; Fang L; Zhang H; Pan L; Zhang Y; Xiao Z
Leuk Res; 2012 Nov; 36(11):1428-33. PubMed ID: 22921018
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
