| Literature DB >> 31208359 |
Mónica Mejía-Ochoa1, Paola Andrea Acevedo Toro2, Jaiberth Antonio Cardona-Arias3.
Abstract
BACKGROUND: Research into Philadelphia-negative chronic myeloproliferative neoplasms is heterogeneous. In addition, no systematization of studies of polycythemia vera (PV), essential thrombocythemia (ET) or primary myelofibrosis (PMF) have been carried out. The objective of this review is to characterize studies on BCR-ABL1-negative chronic myeloproliferative neoplasms and to compare the frequency of JAK2, MPL and CALR mutations in PV, ET and PMF.Entities:
Keywords: Essential thrombocythemia; Meta-analysis; Mutation; Myeloproliferative disorders; Polycythemia vera; Primary myelofibrosis
Mesh:
Substances:
Year: 2019 PMID: 31208359 PMCID: PMC6580484 DOI: 10.1186/s12885-019-5764-4
Source DB: PubMed Journal: BMC Cancer ISSN: 1471-2407 Impact factor: 4.430
Fig. 1Flow-gram of search and selection of articles
Fig. 2Absolute frequency of studies by country
Fig. 3Evaluation of methodological quality
Description of the studies included in the review according to the year of publication and the number of subjects studied
| Author | Year | Country | N PV | N ET | N PMF | N others |
|---|---|---|---|---|---|---|
| Aviram A [ | 2003 | Israel | 31 | 56 | 10 | 0 |
| Hsu H [ | 2004 | Taiwan | 16 | 30 | 0 | 17a51b |
| Jelinek J [ | 2005 | U.S.A. | 29 | 10 | 19 | 316a |
| Jost E [ | 2007 | Germany | 9 | 7 | 0 | 23a |
| Zhang S [ | 2007 | China | 23 | 40 | 8 | 23a |
| Najfeld V [ | 2007 | U.S.A. | 18 | 0 | 6 | 15a |
| Suzuki R [ | 2007 | Japan | 15 | 21 | 5 | 8a |
| Xu W [ | 2008 | China | 32 | 102 | 13 | 43a50b |
| Lucia E [ | 2008 | Italy | 108 | 74 | 26 | 25a50b |
| Tefferi A [ | 2009 | U.S.A. | 26 | 13 | 32 | 0 |
| Tefferi A [ | 2009 | U.S.A. | 89 | 57 | 60 | 33a |
| Aranaz P [ | 2010 | Spain | 4 | 15 | 4 | 21a |
| Tripodi J [ | 2010 | U.S.A. | 47 | 21 | 52 | 26a |
| Chen X [ | 2011 | China | 15 | 70 | 18 | 0 |
| Toyama K [ | 2011 | Japan | 25 | 82 | 8 | 0 |
| Benmoussa A [ | 2011 | Morocco | 19 | 8 | 12 | 31a |
| da Silva R [ | 2012 | Brazil | 52 | 81 | 11 | 0 |
| Zhang X [ | 2012 | China | 51 | 66 | 17 | 0 |
| Ho C [ | 2012 | Taiwan | 21 | 32 | 5 | 20a |
| Schnittger S [ | 2012 | Germany | 736 | 615 | 230 | 13961a |
| Pagliarini S [ | 2013 | Brazil | 17 | 22 | 12 | 5a90b |
| Patriarca A [ | 2013 | Italy | 26 | 55 | 9 | 8a |
| Kim H [ | 2013 | Korea | 26 | 42 | 7 | 3a |
| Wu Z [ | 2014 | China | 80 | 80 | 50 | 0 |
| Kissova J [ | 2014 | Czech Republic | 41 | 105 | 36 | 0 |
| Payzin K [ | 2014 | Turkey | 81 | 129 | 22 | 0 |
| Macedo L [ | 2015 | Brazil | 38 | 42 | 33 | 30a150b |
| Ouyang Y [ | 2015 | China | 48 | 171 | 27 | 180a20b |
| Kander E [ | 2015 | U.S.A. | 118 | 144 | 63 | 26a |
| Mahjoub S [ | 2015 | France | 22 | 17 | 17 | 0 |
| Jaradat S [ | 2015 | Jordan | 27 | 16 | 14 | 0 |
| Labastida N [ | 2015 | Mexico | 14 | 8 | 4 | 0 |
| Duangnapasatit B [ | 2015 | Thailand | 68 | 83 | 6 | 0 |
| Geduk A [ | 2015 | Turkey | 7 | 43 | 16 | 30b |
| Lin Y [ | 2015 | China | 234 | 428 | 187 | 80a |
| Berzoti M [ | 2016 | Brazil | 14 | 24 | 9 | 60a35b |
| Macedo L [ | 2016 | Brazil | 33 | 35 | 22 | 33a123b |
| Didone A [ | 2016 | Brazil | 20 | 28 | 20 | 68a |
| Xu J [ | 2016 | China | 171 | 269 | 188 | 0 |
| McFarland D [ | 2016 | U.S.A. | 34 | 31 | 31 | 21a |
| Wang J [ | 2016 | U.S.A. | 17 | 11 | 23 | 42a43b |
| Gardner J [ | 2016 | U.S.A. | 7 | 3 | 3 | 34a |
| Trifa A [ | 2016 | Romania | 140 | 140 | 48 | 363b |
| Delic S [ | 2016 | Germany | 30 | 40 | 30 | 0 |
| Orvain C [ | 2016 | France | 42 | 93 | 35 | 86a 26b |
| Goel S [ | 2017 | U.S.A. | 51 | 19 | 73 | 0 |
| Smaili W [ | 2017 | Morocco | 0 | 22 | 11 | 0 |
| Gadomska G [ | 2017 | Poland | 19 | 46 | 7 | 39b |
| Yildiz I [ | 2017 | Turkey | 23 | 68 | 9 | 0 |
| Li M [ | 2017 | China | 508 | 1049 | 91 | 0 |
| Misawa K [ | 2018 | Japan | 166 | 212 | 88 | 27a |
| Gángó A [ | 2018 | Hungary | 0 | 425 | 227 | 0 |
| Total | 3488 | 5300 | 1954 | 16,336 |
aOther diseases (hematológicas) bHealthy controls
Absolute and relative frequencies of the JAK2V617F mutation
| Author | Diagnostic criteria | Technique | PV % (n) | ET % (n) | PMF % (n) |
|---|---|---|---|---|---|
| Zhang SJ [ | No data | AS-PCR | 69.6 (16) | 45.0 (18) | 37.5 (3) |
| Suzuki R [ | WHO 2001 | Sequencing | 46.7 (7) | 47.6 (10) | 80.0 (4) |
| Xu W [ | WHO 2001 | AS-PCR | 62.5 (20) | 42.2 (43) | 38.5 (5) |
| Lucia E [ | WHO 2001 | AS-PCR | 90.2 (74) | 72.1 (31) | 63.2 (12) |
| Tefferi A [ | WHO 2001 | RT-PCR | 89.9 (80) | 45.6 (26) | 55.0 (33) |
| Toyama K [ | WHO 2008 | AS-PCR | 88.0 (22) | 68.3 (56) | 75.0 (6) |
| Benmoussa A [ | No data | AS-PCR | 89.5 (17) | 62.5 (5) | 33.3 (4) |
| Zhang X [ | No data | AS-PCR | 84.3 (43) | 69.7 (46) | 52.9 (9) |
| Ho C [ | No data | HRM | 76.2 (16) | 46.9 (15) | 80.0 (4) |
| da Silva R [ | No data | PCR-RFLP | 88.5 (46) | 48.1 (39) | 72.7 (8) |
| Kim H [ | WHO 2008 | AS-PCR | 88.5 (23) | 57.1 (24) | 85.7 (6) |
| Patriarca A [ | WHO 2008 | Real-time PCR | 100 (26) | 63.6 (35) | 66.7 (6) |
| Wu Z [ | WHO 2008 | HRM Sequencing | 82.5 (66) | 56.3 (45) | 58.0 (29) |
| Payzin K [ | WHO 2008 | Real-time PCR | 95.1 (77) | 68.2 (88) | 77.3 (17) |
| Labastida N [ | Conventional | ARMS | 62.5 (5) | 35.7 (5) | 25.0 (1) |
| Mahjoub S [ | WHO 2008 | AS-PCR | 72.7 (16) | 47.1 (8) | 66.7 (2) |
| Jaradat S [ | WHO 2001 | Sequencing | 70.4 (19) | 31.3 (5) | 14.3 (2) |
| Gardner J [ | WHO 2008 | Fragment Analysis PCR | 100.0 (7) | 66.7 (2) | 33.3 (1) |
| Didone A [ | WHO 2008 | PCR-RFLP | 95.0 (19) | 71.4 (20) | 40.0 (8) |
| Yildiz I [ | WHO | Sequencing | 73.9 (17) | 61.8 (42) | 55.6 (5) |
WHO World Health Organization, AS-PCR Allele-specific polymerase chain reaction, RT-PCR Reverse transcription polymerase chain reaction, HRM High-Resolution Melt, PCR-RFLP polymerase chain reaction- Restriction Fragment Length Polymorphism, ARMS Amplification-refractory mutation system
Fig. 4Meta-analysis for the comparison of the frequency of JAK2 mutations in PV compared to ET
Fig. 5Forest plot for the comparison of the frequency of JAK2 mutations between PV vs PMF and ET vs PMF, comparison of MPL mutations in ET vs PMF and of CALR mutations in ET vs PMF
Absolute and relative frequencies of the MPL and CALR mutations
| MPL Mutation | CALR Mutation | |||||||
|---|---|---|---|---|---|---|---|---|
| Author | Technique | PV % (n) | ET % (n) | PMF % (n) | Technique | PV % (n) | ET % (n) | PMF % (n) |
| Xu [ | AS-PCR | 0 (0) | 1.0 (1) | 0 (0) | ND | ND | ND | ND |
| Chen [ | AS-PCR | 0 (0) | 1,4 (1) | 5,6 (1) | ND | ND | ND | ND |
| Toyama [ | Sequencing | 0 (0) | 2,4 (2) | 0 (0) | ND | ND | ND | ND |
| Wu [ | Real-time PCR | 0 (0) | 5,0 (4) | 6,0 (3) | Sequencing | 0(0) | 25,0 (2)0) | 20,0 (16) |
| Labastida [ | ARMS | 0 (0) | 12,5 (1) | 0 (0) | Fragment analysis | 0 (0) | 50,0 (4) | 25,0 (1) |
| Trifa [ | SNP | 0 (0) | 1,4 (2) | 4,2 (2) | SNP | 0 (0) | 29,3 (41) | 25,0 (12) |
| Gadomska [ | ND | ND | 5,3 (1) | 0 (0) | ND | ND | 31,6 (6) | 100 (2) |
| Li [ | Sequencing | ND | 0,9 (9) | 1,1 (1) | Sequencing | ND | 12,6 (132) | 12,1 (11) |
| Schnittger S [ | PCR | ND | 7,1 (44) | 13,2 (17) | ND | ND | ND | ND |
| Misawa [ | AS-PCR | 0 (0) | 4,7 (10) | 1,1 (1) | Fragment analysis | 0 (0) | 26,9 (57) | 21,6 (19) |
| Gángó [ | Sequencing | ND | 1,6 (7) | 7,1 (16) | Fragment analysis | ND | 24,5 (104) | 21,6 (49) |
| Lin [ | Sequencing | 0 (0) | 1,2 (5) | 2,7 (5) | Sequencing | 0 (0) | 22,7 (97) | 17,6 (33) |
| Delic [ | Sequencing | 0 (0) | 5,0 (2) | 10 (3) | Sequencing | 0 (0) | 25,0 (10) | 10,0 (3) |
| Orvain [ | Real-time PCR | ND | 2,2 (2) | 17,1 (6) | Fragment analysis | ND | 12,9 (12) | 20.0 (7) |
| Kander [ | ND | ND | ND | ND | Fragment analysis | ND | 33,3 (10) | 37,5 (3) |
| Gardner [ | ND | ND | ND | ND | Fragment analysis | 0 (0) | 33,3 (1) | 66,7 (2) |
| Smaili [ | ND | ND | ND | ND | Sequencing | ND | 50,0 (11) | 36,4 (4) |
AS-PCR Allele-specific polymerase chain reaction, PCR polymerase chain reaction, ARMS Amplification-refractory mutation system, SNP single-nucleotide polymorphism, ND No Data