Literature DB >> 31126916

Gene expression signature that predicts early molecular response failure in chronic-phase CML patients on frontline imatinib.

Chung H Kok1,2, David T Yeung1,2,3,4, Liu Lu1,2, Dale B Watkins1,2, Tamara M Leclercq1,2, Phuong Dang1, Verity A Saunders1, John Reynolds5, Deborah L White1,2,4, Timothy P Hughes1,2,3,4.   

Abstract

In chronic-phase chronic myeloid leukemia (CP-CML) patients treated with frontline imatinib, failure to achieve early molecular response (EMR; EMR failure: BCR-ABL1 >10% on the international scale at 3 months) is predictive of inferior outcomes. Identifying patients at high-risk of EMR failure at diagnosis provides an opportunity to intensify frontline therapy and potentially avoid EMR failure. We studied blood samples from 96 CP-CML patients at diagnosis and identified 365 genes that were aberrantly expressed in 13 patients who subsequently failed to achieve EMR, with a gene signature significantly enriched for stem cell phenotype (eg, Myc, β-catenin, Hoxa9/Meis1), cell cycle, and reduced immune response pathways. We selected a 17-gene panel to predict EMR failure and validated this signature on an independent patient cohort. Patients classified as high risk with our gene expression signature (HR-GES) exhibited significantly higher rates of EMR failure compared with low-risk (LR-GES) patients (78% vs 5%; P < .0001), with an overall accuracy of 93%. Furthermore, HR-GES patients who received frontline nilotinib had a relatively low rate of EMR failure (10%). However, HR-GES patients still had inferior deep molecular response achievement rate by 24 months compared with LR-GES patients. This novel multigene signature may be useful for selecting patients at high risk of EMR failure on standard therapy who may benefit from trials of more potent kinase inhibitors or other experimental approaches.
© 2019 by The American Society of Hematology.

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Year:  2019        PMID: 31126916      PMCID: PMC6538873          DOI: 10.1182/bloodadvances.2019000195

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


  55 in total

1.  Elevated PTPN2 expression is associated with inferior molecular response in de-novo chronic myeloid leukaemia patients.

Authors:  C H Kok; T Leclercq; D B Watkins; V Saunders; J Wang; T P Hughes; D L White
Journal:  Leukemia       Date:  2013-11-06       Impact factor: 11.528

2.  Single-cell transcriptomics uncovers distinct molecular signatures of stem cells in chronic myeloid leukemia.

Authors:  Alice Giustacchini; Supat Thongjuea; Nikolaos Barkas; Petter S Woll; Benjamin J Povinelli; Christopher A G Booth; Paul Sopp; Ruggiero Norfo; Alba Rodriguez-Meira; Neil Ashley; Lauren Jamieson; Paresh Vyas; Kristina Anderson; Åsa Segerstolpe; Hong Qian; Ulla Olsson-Strömberg; Satu Mustjoki; Rickard Sandberg; Sten Eirik W Jacobsen; Adam J Mead
Journal:  Nat Med       Date:  2017-05-15       Impact factor: 53.440

3.  Molecular profiling of CD34+ cells identifies low expression of CD7, along with high expression of proteinase 3 or elastase, as predictors of longer survival in patients with CML.

Authors:  Agnes S M Yong; Richard M Szydlo; John M Goldman; Jane F Apperley; Junia V Melo
Journal:  Blood       Date:  2005-09-06       Impact factor: 22.113

4.  IGF binding protein 2 supports the survival and cycling of hematopoietic stem cells.

Authors:  Hoangdinh Huynh; Junke Zheng; Masato Umikawa; Chaozheng Zhang; Robert Silvany; Satoru Iizuka; Martin Holzenberger; Wei Zhang; Cheng Cheng Zhang
Journal:  Blood       Date:  2011-08-05       Impact factor: 22.113

5.  Early response with dasatinib or imatinib in chronic myeloid leukemia: 3-year follow-up from a randomized phase 3 trial (DASISION).

Authors:  Elias Jabbour; Hagop M Kantarjian; Giuseppe Saglio; Juan Luis Steegmann; Neil P Shah; Concepción Boqué; Charles Chuah; Carolina Pavlovsky; Jirí Mayer; Jorge Cortes; Michele Baccarani; Dong-Wook Kim; M Brigid Bradley-Garelik; Hesham Mohamed; Mark Wildgust; Andreas Hochhaus
Journal:  Blood       Date:  2013-12-05       Impact factor: 22.113

6.  Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.

Authors:  Aravind Subramanian; Pablo Tamayo; Vamsi K Mootha; Sayan Mukherjee; Benjamin L Ebert; Michael A Gillette; Amanda Paulovich; Scott L Pomeroy; Todd R Golub; Eric S Lander; Jill P Mesirov
Journal:  Proc Natl Acad Sci U S A       Date:  2005-09-30       Impact factor: 11.205

7.  Stem cell gene expression programs influence clinical outcome in human leukemia.

Authors:  Kolja Eppert; Katsuto Takenaka; Eric R Lechman; Levi Waldron; Björn Nilsson; Peter van Galen; Klaus H Metzeler; Armando Poeppl; Vicki Ling; Joseph Beyene; Angelo J Canty; Jayne S Danska; Stefan K Bohlander; Christian Buske; Mark D Minden; Todd R Golub; Igor Jurisica; Benjamin L Ebert; John E Dick
Journal:  Nat Med       Date:  2011-08-28       Impact factor: 53.440

8.  A new prognostic score for survival of patients with chronic myeloid leukemia treated with interferon alfa. Writing Committee for the Collaborative CML Prognostic Factors Project Group.

Authors:  J Hasford; M Pfirrmann; R Hehlmann; N C Allan; M Baccarani; J C Kluin-Nelemans; G Alimena; J L Steegmann; H Ansari
Journal:  J Natl Cancer Inst       Date:  1998-06-03       Impact factor: 13.506

9.  Prognosis of long-term survival considering disease-specific death in patients with chronic myeloid leukemia.

Authors:  M Pfirrmann; M Baccarani; S Saussele; J Guilhot; F Cervantes; G Ossenkoppele; V S Hoffmann; F Castagnetti; J Hasford; R Hehlmann; B Simonsson
Journal:  Leukemia       Date:  2015-09-29       Impact factor: 11.528

10.  Integrative genomic analysis reveals cancer-associated mutations at diagnosis of CML in patients with high-risk disease.

Authors:  Susan Branford; Paul Wang; David T Yeung; Daniel Thomson; Adrian Purins; Carol Wadham; Nur Hezrin Shahrin; Justine E Marum; Nathalie Nataren; Wendy T Parker; Joel Geoghegan; Jinghua Feng; Naranie Shanmuganathan; Martin C Mueller; Christian Dietz; Doris Stangl; Zoe Donaldson; Haley Altamura; Jasmina Georgievski; Jodi Braley; Anna Brown; Christopher Hahn; Ieuan Walker; Soo-Hyun Kim; Soo-Young Choi; Sa-Hee Park; Dong-Wook Kim; Deborah L White; Agnes S M Yong; David M Ross; Hamish S Scott; Andreas W Schreiber; Timothy P Hughes
Journal:  Blood       Date:  2018-07-02       Impact factor: 22.113

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  12 in total

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

Authors:  Yu-Hung Wang; Chien-Chin Lin; Chi-Yuan Yao; Chia-Lang Hsu; Hsin-An Hou; Cheng-Hong Tsai; Wen-Chien Chou; Hwei-Fang Tien
Journal:  Blood Adv       Date:  2020-02-25

2.  Long-term safety and efficacy of imatinib in pediatric patients with chronic myeloid leukemia: single-center experience from China.

Authors:  Yuli Cai; Chao Liu; Ye Guo; Xiaojuan Chen; Li Zhang; Yumei Chen; Yao Zou; Wenyu Yang; Xiaofan Zhu
Journal:  Int J Hematol       Date:  2021-01-01       Impact factor: 2.490

3.  Identification of key microRNAs as predictive biomarkers of Nilotinib response in chronic myeloid leukemia: a sub-analysis of the ENESTxtnd clinical trial.

Authors:  Ryan Yen; Sarah Grasedieck; Andrew Wu; Hanyang Lin; Jiechuang Su; Katharina Rothe; Helen Nakamoto; Donna L Forrest; Connie J Eaves; Xiaoyan Jiang
Journal:  Leukemia       Date:  2022-08-23       Impact factor: 12.883

4.  Integrative Genomic Analysis Reveals Cancer-Associated Gene Mutations in Chronic Myeloid Leukemia Patients with Resistance or Intolerance to Tyrosine Kinase Inhibitor.

Authors:  Waner Wu; Na Xu; Xuan Zhou; Liang Liu; Yaxian Tan; Jie Luo; Jixian Huang; Jiayue Qin; Juan Wang; Zhimin Li; Changxin Yin; Lingling Zhou; Xiaoli Liu
Journal:  Onco Targets Ther       Date:  2020-08-25       Impact factor: 4.147

5.  Single cell sequencing reveals cell populations that predict primary resistance to imatinib in chronic myeloid leukemia.

Authors:  Weilong Zhang; Beibei Yang; Linqian Weng; Jiangtao Li; Jiefei Bai; Ting Wang; Jingwen Wang; Jin Ye; Hongmei Jing; Yuchen Jiao; Xixi Chen; Hui Liu; Yi-Xin Zeng
Journal:  Aging (Albany NY)       Date:  2020-11-23       Impact factor: 5.682

6.  Aberrantly reduced expression of miR-342-5p contributes to CCND1-associated chronic myeloid leukemia progression and imatinib resistance.

Authors:  Yi-Ying Wu; Hsing-Fan Lai; Tzu-Chuan Huang; Yu-Guang Chen; Ren-Hua Ye; Ping-Ying Chang; Shiue-Wei Lai; Yeu-Chin Chen; Cho-Hao Lee; Wei-Nung Liu; Ming-Shen Dai; Jia-Hong Chen; Ching-Liang Ho; Yi-Lin Chiu
Journal:  Cell Death Dis       Date:  2021-10-05       Impact factor: 8.469

Review 7.  Integrating genetic and epigenetic factors in chronic myeloid leukemia risk assessment: toward gene expression-based biomarkers.

Authors:  Vaidehi Krishnan; Dennis Dong Hwan Kim; Timothy P Hughes; Susan Branford; S Tiong Ong
Journal:  Haematologica       Date:  2022-02-01       Impact factor: 9.941

Review 8.  European LeukemiaNet 2020 recommendations for treating chronic myeloid leukemia.

Authors:  A Hochhaus; M Baccarani; R T Silver; C Schiffer; J F Apperley; F Cervantes; R E Clark; J E Cortes; M W Deininger; F Guilhot; H Hjorth-Hansen; T P Hughes; J J W M Janssen; H M Kantarjian; D W Kim; R A Larson; J H Lipton; F X Mahon; J Mayer; F Nicolini; D Niederwieser; F Pane; J P Radich; D Rea; J Richter; G Rosti; P Rousselot; G Saglio; S Saußele; S Soverini; J L Steegmann; A Turkina; A Zaritskey; R Hehlmann
Journal:  Leukemia       Date:  2020-03-03       Impact factor: 11.528

9.  Plasma imatinib levels and ABCB1 polymorphism influences early molecular response and failure-free survival in newly diagnosed chronic phase CML patients.

Authors:  Bharathi M Rajamani; Esther Sathya Bama Benjamin; Aby Abraham; Sukanya Ganesan; Kavitha M Lakshmi; Senthamizhselvi Anandan; Sreeja Karathedath; Savitha Varatharajan; Ezhilpavai Mohanan; Nancy Beryl Janet; Vivi M Srivastava; Shaji Ramachandran Velayudhan; Uday P Kulkarni; Anup J Devasia; N A Fouzia; Anu Korula; Biju George; Alok Srivastava; Vikram Mathews; Poonkuzhali Balasubramanian
Journal:  Sci Rep       Date:  2020-11-26       Impact factor: 4.379

10.  Compromised anti-tumor-immune features of myeloid cell components in chronic myeloid leukemia patients.

Authors:  Ibuki Harada; Haruka Sasaki; Koichi Murakami; Akira Nishiyama; Jun Nakabayashi; Motohide Ichino; Takuya Miyazaki; Ken Kumagai; Kenji Matsumoto; Maki Hagihara; Wataru Kawase; Takayoshi Tachibana; Masatsugu Tanaka; Tomoyuki Saito; Heiwa Kanamori; Hiroyuki Fujita; Shin Fujisawa; Hideaki Nakajima; Tomohiko Tamura
Journal:  Sci Rep       Date:  2021-09-10       Impact factor: 4.379

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