Literature DB >> 32078680

A 4-gene leukemic stem cell score can independently predict the prognosis of myelodysplastic syndrome patients.

Yu-Hung Wang1,2, Chien-Chin Lin1,2,3, Chi-Yuan Yao2,3, Chia-Lang Hsu4, Hsin-An Hou2, Cheng-Hong Tsai2, Wen-Chien Chou2,3, Hwei-Fang Tien2.   

Abstract

Myelodysplastic syndrome (MDS) comprised a heterogeneous group of diseases. The prognosis of patients varies even in the same risk groups. Searching for novel prognostic markers is warranted. Leukemic stem cells (LSCs) are responsible for chemoresistance and relapse in leukemia. Recently, expressions of 17 genes related to stemness of LSCs were found to be associated with prognosis in acute myeloid leukemia patients. However, the clinical impact of LSC genes expressions in MDS, a disorder arising from hematopoietic stem cells, remains unclear. We analyzed expression profile of the 17 stemness-related genes in primary MDS patients and identified expression of 4 genes (LAPTM4B, NGFRAP1, EMP1, and CPXM1) were significantly correlated with overall survival (OS). We constructed an LSC4 scoring system based on the weighted sums of the expression of 4 genes and explored its clinical implications in MDS patients. Higher LSC4 scores were associated with higher revised International Prognostic Scoring System (IPSS-R) scores, complex cytogenetics, and mutations in RUNX1, ASXL1, and TP53. High-score patients had significantly shorter OS and leukemia-free survival (LFS), which was also confirmed in 2 independent validation cohorts. Subgroup analysis revealed the prognostic significance of LSC4 scores for OS remained valid across IPSS-R lower- and higher-risk groups. Furthermore, higher LSC4 score was an independent adverse risk factor for OS and LFS in multivariate analysis. In summary, LSC4 score can independently predict prognosis in MDS patients irrespective of IPSS-R risks and may be used to guide the treatment of MDS patients, especially lower-risk group in whom usually only supportive treatment is given.
© 2020 by The American Society of Hematology.

Entities:  

Mesh:

Substances:

Year:  2020        PMID: 32078680      PMCID: PMC7042996          DOI: 10.1182/bloodadvances.2019001185

Source DB:  PubMed          Journal:  Blood Adv        ISSN: 2473-9529


  55 in total

Review 1.  Cytogenetic Nomenclature: Changes in the ISCN 2013 Compared to the 2009 Edition.

Authors:  A Simons; L G Shaffer; R J Hastings
Journal:  Cytogenet Genome Res       Date:  2013       Impact factor: 1.636

Review 2.  The molecular pathogenesis of the myelodysplastic syndromes.

Authors:  Andrea Pellagatti; Jacqueline Boultwood
Journal:  Eur J Haematol       Date:  2015-02-20       Impact factor: 2.997

Review 3.  Myelodysplastic syndromes.

Authors:  Ayalew Tefferi; James W Vardiman
Journal:  N Engl J Med       Date:  2009-11-05       Impact factor: 91.245

4.  Clinical and biological implications of partial tandem duplication of the MLL gene in acute myeloid leukemia without chromosomal abnormalities at 11q23.

Authors:  H-S Shiah; Y-Y Kuo; J-L Tang; S-Y Huang; M Yao; W Tsay; Y-C Chen; C-H Wang; M-C Shen; D-T Lin; K-H Lin; H-F Tien
Journal:  Leukemia       Date:  2002-02       Impact factor: 11.528

5.  LAPTM4B Predicts Axillary Lymph Node Metastasis in Breast Cancer and Promotes Breast Cancer Cell Aggressiveness in Vitro.

Authors:  Min Xiao; Shanshan Yang; FanLing Meng; Yu Qin; Yue Yang; Shusheng Jia; XiuMing Cai; Changli Li; Yuanxi Huang; Xiaoming Ning
Journal:  Cell Physiol Biochem       Date:  2017-02-27

6.  A cell initiating human acute myeloid leukaemia after transplantation into SCID mice.

Authors:  T Lapidot; C Sirard; J Vormoor; B Murdoch; T Hoang; J Caceres-Cortes; M Minden; B Paterson; M A Caligiuri; J E Dick
Journal:  Nature       Date:  1994-02-17       Impact factor: 49.962

Review 7.  Pre-leukemic evolution of hematopoietic stem cells: the importance of early mutations in leukemogenesis.

Authors:  M R Corces-Zimmerman; R Majeti
Journal:  Leukemia       Date:  2014-07-09       Impact factor: 11.528

8.  EMP1, a novel poor prognostic factor in pediatric leukemia regulates prednisolone resistance, cell proliferation, migration and adhesion.

Authors:  I M Ariës; I S Jerchel; R E S R van den Dungen; L C J van den Berk; J M Boer; M A Horstmann; G Escherich; R Pieters; M L den Boer
Journal:  Leukemia       Date:  2014-02-20       Impact factor: 11.528

9.  A systematic comparison and evaluation of high density exon arrays and RNA-seq technology used to unravel the peripheral blood transcriptome of sickle cell disease.

Authors:  Nalini Raghavachari; Jennifer Barb; Yanqin Yang; Poching Liu; Kimberly Woodhouse; Daniel Levy; Christopher J O'Donnell; Peter J Munson; Gregory J Kato
Journal:  BMC Med Genomics       Date:  2012-06-29       Impact factor: 3.063

10.  TP53 mutations in de novo acute myeloid leukemia patients: longitudinal follow-ups show the mutation is stable during disease evolution.

Authors:  H-A Hou; W-C Chou; Y-Y Kuo; C-Y Liu; L-I Lin; M-H Tseng; Y-C Chiang; M-C Liu; C-W Liu; J-L Tang; M Yao; C-C Li; S-Y Huang; B-S Ko; S-C Hsu; C-Y Chen; C-T Lin; S-J Wu; W Tsay; Y-C Chen; H-F Tien
Journal:  Blood Cancer J       Date:  2015-07-31       Impact factor: 11.037

View more
  6 in total

1.  Integrative analysis of drug response and clinical outcome in acute myeloid leukemia.

Authors:  Daniel Bottomly; Nicola Long; Anna Reister Schultz; Stephen E Kurtz; Cristina E Tognon; Kara Johnson; Melissa Abel; Anupriya Agarwal; Sammantha Avaylon; Erik Benton; Aurora Blucher; Uma Borate; Theodore P Braun; Jordana Brown; Jade Bryant; Russell Burke; Amy Carlos; Bill H Chang; Hyun Jun Cho; Stephen Christy; Cody Coblentz; Aaron M Cohen; Amanda d'Almeida; Rachel Cook; Alexey Danilov; Kim-Hien T Dao; Michie Degnin; James Dibb; Christopher A Eide; Isabel English; Stuart Hagler; Heath Harrelson; Rachel Henson; Hibery Ho; Sunil K Joshi; Brian Junio; Andy Kaempf; Yoko Kosaka; Ted Laderas; Matt Lawhead; Hyunjung Lee; Jessica T Leonard; Chenwei Lin; Evan F Lind; Selina Qiuying Liu; Pierrette Lo; Marc M Loriaux; Samuel Luty; Julia E Maxson; Tara Macey; Jacqueline Martinez; Jessica Minnier; Andrea Monteblanco; Motomi Mori; Quinlan Morrow; Dylan Nelson; Justin Ramsdill; Angela Rofelty; Alexandra Rogers; Kyle A Romine; Peter Ryabinin; Jennifer N Saultz; David A Sampson; Samantha L Savage; Robert Schuff; Robert Searles; Rebecca L Smith; Stephen E Spurgeon; Tyler Sweeney; Ronan T Swords; Aashis Thapa; Karina Thiel-Klare; Elie Traer; Jake Wagner; Beth Wilmot; Joelle Wolf; Guanming Wu; Amy Yates; Haijiao Zhang; Christopher R Cogle; Robert H Collins; Michael W Deininger; Christopher S Hourigan; Craig T Jordan; Tara L Lin; Micaela E Martinez; Rachel R Pallapati; Daniel A Pollyea; Anthony D Pomicter; Justin M Watts; Scott J Weir; Brian J Druker; Shannon K McWeeney; Jeffrey W Tyner
Journal:  Cancer Cell       Date:  2022-07-21       Impact factor: 38.585

2.  Studying leukemia stem cell properties and vulnerabilities with human iPSCs.

Authors:  Nikolaos Spyrou; Eirini P Papapetrou
Journal:  Stem Cell Res       Date:  2020-12-10       Impact factor: 1.587

3.  Personalized Survival Prediction of Patients With Acute Myeloblastic Leukemia Using Gene Expression Profiling.

Authors:  Adrián Mosquera Orgueira; Andrés Peleteiro Raíndo; Miguel Cid López; José Ángel Díaz Arias; Marta Sonia González Pérez; Beatriz Antelo Rodríguez; Natalia Alonso Vence; Laura Bao Pérez; Roi Ferreiro Ferro; Manuel Albors Ferreiro; Aitor Abuín Blanco; Emilia Fontanes Trabazo; Claudio Cerchione; Giovanni Martinnelli; Pau Montesinos Fernández; Manuel Mateo Pérez Encinas; José Luis Bello López
Journal:  Front Oncol       Date:  2021-03-29       Impact factor: 6.244

4.  A CIBERSORTx-based immune cell scoring system could independently predict the prognosis of patients with myelodysplastic syndromes.

Authors:  Yu-Hung Wang; Hsin-An Hou; Chien-Chin Lin; Yuan-Yeh Kuo; Chi-Yuan Yao; Chia-Lang Hsu; Mei-Hsuan Tseng; Cheng-Hong Tsai; Yen-Ling Peng; Chein-Jun Kao; Wen-Chien Chou; Hwei-Fang Tien
Journal:  Blood Adv       Date:  2021-11-23

5.  Personally Tailored Survival Prediction of Patients With Follicular Lymphoma Using Machine Learning Transcriptome-Based Models.

Authors:  Adrián Mosquera Orgueira; Miguel Cid López; Andrés Peleteiro Raíndo; Aitor Abuín Blanco; Jose Ángel Díaz Arias; Marta Sonia González Pérez; Beatriz Antelo Rodríguez; Laura Bao Pérez; Roi Ferreiro Ferro; Carlos Aliste Santos; Manuel Mateo Pérez Encinas; Máximo Francisco Fraga Rodríguez; Claudio Cerchione; Pablo Mozas; José Luis Bello López
Journal:  Front Oncol       Date:  2022-01-10       Impact factor: 6.244

6.  The 17-gene stemness score associates with relapse risk and long-term outcomes following allogeneic haematopoietic cell transplantation in acute myeloid leukaemia.

Authors:  Dennis D H Kim; Igor Novitzky Basso; Taehyung Simon Kim; Seong Yoon Yi; Kyoung Ha Kim; Tracy Murphy; Steven Chan; Mark Minden; Ivan Pasic; Wilson Lam; Arjun Law; Fotios V Michelis; Armin Gerbitz; Auro Viswabandya; Jeffrey Lipton; Rajat Kumar; Stanley W K Ng; Tracy Stockley; Tong Zhang; Ian King; Jonas Mattsson; Jean C Y Wang
Journal:  EJHaem       Date:  2022-05-23
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.