Literature DB >> 17339180

Using quantification of the PML-RARalpha transcript to stratify the risk of relapse in patients with acute promyelocytic leukemia.

Carlos Santamaría1, Maria Carmen Chillón, Carina Fernández, Patricia Martín-Jiménez, Ana Balanzategui, Ramón García Sanz, Jesús F San Miguel, Marcos-Gonzalez González.   

Abstract

BACKGROUND AND OBJECTIVES: The detection of PML-RARalpha by real-time polymerase chain reaction (RQ-PCR) is becoming an important tool for monitoring minimal residual disease (MRD) in patients with acute promyelocytic leukemia (APL). However, its clinical value remains to be determined. Our aim was to analyze any associations between the risk of relapse and RQ-PCR results in different phases of treatment, comparing these data with those yielded by conventional qualitative reverse transcriptase-PCR. DESIGN AND METHODS: Follow-up samples from 145 APL patients treated with the PETHEMA protocols were evaluated by the RQ-PCR protocol (Europe Against Cancer program) and by the RT-PCR method (BIOMED-1 Concerted Action). Hematologic and molecular relapses and relapse-free survival were recorded. We then looked for associations between relapse risk and RQ-PCR results.
RESULTS: After induction therapy, no association was found between positive RQ-PCR results and relapse. The PCR result here did not imply any change in the scheduled therapy. After the third consolidation course, two out of three cases with positive RQ-PCR relapsed in contrast to 16 out of 119 (13%) patients with negative RQ-PCR. During maintenance therapy and out-of treatment, all patients with >10 PML-RARalpha normalized copy number (NCN) (n=19) relapsed while all patients with <1 NCN at the end of the study remained in hematologic remission (p<0.0001). In the intermediate group (NCN 1-10) (n=18), the relapse-free survival at 5 years was 60%. Hematologic relapses were predicted if a positive RQ-PCR result had been obtained in a follow-up sample within the previous 4 months. INTERPRETATION AND
CONCLUSIONS: Based on the information provided by RQ-PCR in samples obtained after the end of consolidation and subsequently, a relapse risk stratification could be established for APL patients. This stratification divides patients into three groups: those at high risk of relapse, those with an intermediate risk and those with a low risk of relapse.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17339180     DOI: 10.3324/haematol.10734

Source DB:  PubMed          Journal:  Haematologica        ISSN: 0390-6078            Impact factor:   9.941


  23 in total

1.  Quantification of PML/RARa transcript after induction predicts outcome in children with acute promyelocytic leukemia.

Authors:  Li Zhang; Zeng Cao; Yao Zou; Min Ruan; Qinghua Li; Jianxiang Wang; Xiaofan Zhu
Journal:  Int J Hematol       Date:  2012-03-10       Impact factor: 2.490

2.  Clinical significance of increased PML-RARa transcripts after induction therapy for acute promyelocytic leukaemia.

Authors:  Mi Liang; Lei Wang; Min Xiao; Jie Xiong; Jin Wang; Zhiqiong Wang; Wei Huang; Jianfeng Zhou
Journal:  Ann Med       Date:  2020-04-23       Impact factor: 4.709

Review 3.  Minimal residual disease in acute myeloid leukemia--current status and future perspectives.

Authors:  Sabine Kayser; Roland B Walter; Wendy Stock; Richard F Schlenk
Journal:  Curr Hematol Malig Rep       Date:  2015-06       Impact factor: 3.952

Review 4.  How I treat children and adolescents with acute promyelocytic leukaemia.

Authors:  Oussama Abla; Raul C Ribeiro
Journal:  Br J Haematol       Date:  2013-09-30       Impact factor: 6.998

5.  Common leukemia- and lymphoma-associated genetic aberrations in healthy individuals.

Authors:  Jianbo Song; Danielle Mercer; Xiaofeng Hu; Henry Liu; Marilyn M Li
Journal:  J Mol Diagn       Date:  2011-03       Impact factor: 5.568

6.  Rapid and reliable confirmation of acute promyelocytic leukemia by immunofluorescence staining with an antipromyelocytic leukemia antibody: the M. D. Anderson Cancer Center experience of 349 patients.

Authors:  Nikolay D Dimov; L Jeffrey Medeiros; Hagop M Kantarjian; Jorge E Cortes; Kun-Sang Chang; Carlos E Bueso-Ramos; Farhad Ravandi
Journal:  Cancer       Date:  2010-01-15       Impact factor: 6.860

7.  Quantitative detection of PML-RARalpha fusion transcript by real-time PCR with a single primer pair.

Authors:  Mariko Takenokuchi; Yuji Nakamachi; Keiko Yoneda; Kana Joo; Seiji Kawano; Eiji Tatsumi; Katsuyasu Saigo; Shunichi Kumagai
Journal:  J Clin Lab Anal       Date:  2009       Impact factor: 2.352

8.  Allogeneic stem cell transplantation in acute myeloid leukemia: establishment of indications on the basis of individual risk stratification.

Authors:  Axel Rolf Zander; Ulrike Bacher; Jürgen Finke
Journal:  Dtsch Arztebl Int       Date:  2008-09-26       Impact factor: 5.594

9.  PML-RARα kinetics and impact of FLT3-ITD mutations in newly diagnosed acute promyelocytic leukaemia treated with ATRA and ATO or ATRA and chemotherapy.

Authors:  L Cicconi; M Divona; C Ciardi; T Ottone; A Ferrantini; S Lavorgna; V Alfonso; F Paoloni; A Piciocchi; G Avvisati; F Ferrara; E Di Bona; F Albano; M Breccia; E Cerqui; M Sborgia; M G Kropp; A Santoro; A Levis; S Sica; S Amadori; M T Voso; F Mandelli; F Lo-Coco
Journal:  Leukemia       Date:  2016-05-02       Impact factor: 11.528

10.  Critical evaluation of ASO RQ-PCR for minimal residual disease evaluation in multiple myeloma. A comparative analysis with flow cytometry.

Authors:  N Puig; M E Sarasquete; A Balanzategui; J Martínez; B Paiva; H García; S Fumero; C Jiménez; M Alcoceba; M C Chillón; E Sebastián; L Marín; M A Montalbán; M V Mateos; A Oriol; L Palomera; J de la Rubia; M B Vidriales; J Bladé; J J Lahuerta; M González; J F S Miguel; R García-Sanz
Journal:  Leukemia       Date:  2013-07-17       Impact factor: 11.528

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.