MALČÍKOVÁ, Jitka, E. TAUSCH, D. ROSSI, L.A. SUTTON, T. SOUSSI, T. ZENZ, A.P. KATER, C.U. NIEMANN, D. GONZALEZ, F. DAVI, M.G. DIAZ, C. MORENO, G. GAIDANO, K. STAMATOPOULOS, R. ROSENQUIST, S. STILGENBAUER, P. GHIA and Šárka POSPÍŠILOVÁ. ERIC recommendations for TP53 mutation analysis in chronic lymphocytic leukemia-update on methodological approaches and results interpretation. Leukemia. London: Nature Publishing Group, 2018, vol. 32, No 5, p. 1070-1080. ISSN 0887-6924. Available from: https://dx.doi.org/10.1038/s41375-017-0007-7.
Other formats:   BibTeX LaTeX RIS
Basic information
Original name ERIC recommendations for TP53 mutation analysis in chronic lymphocytic leukemia-update on methodological approaches and results interpretation
Authors MALČÍKOVÁ, Jitka (203 Czech Republic, belonging to the institution), E. TAUSCH (276 Germany), D. ROSSI (756 Switzerland), L.A. SUTTON (752 Sweden), T. SOUSSI (250 France), T. ZENZ (250 France), A.P. KATER (528 Netherlands), C.U. NIEMANN (208 Denmark), D. GONZALEZ (372 Ireland), F. DAVI (250 France), M.G. DIAZ (724 Spain), C. MORENO (724 Spain), G. GAIDANO (380 Italy), K. STAMATOPOULOS (300 Greece), R. ROSENQUIST (752 Sweden), S. STILGENBAUER (276 Germany), P. GHIA (380 Italy) and Šárka POSPÍŠILOVÁ (203 Czech Republic, guarantor, belonging to the institution).
Edition Leukemia, London, Nature Publishing Group, 2018, 0887-6924.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 30204 Oncology
Country of publisher United Kingdom of Great Britain and Northern Ireland
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 9.944
RIV identification code RIV/00216224:14740/18:00103869
Organization unit Central European Institute of Technology
Doi http://dx.doi.org/10.1038/s41375-017-0007-7
UT WoS 000431769800003
Keywords in English CODON-72 POLYMORPHIC VARIANTS; 17P DELETION; OPEN-LABEL; DISEASE PROGRESSION; DETAILED ANALYSIS; CLINICAL IMPACT; HIGH-THROUGHPUT; HUMAN CANCERS; GENE; SURVIVAL
Tags 14110212, podil, rivok
Tags International impact, Reviewed
Changed by Changed by: Mgr. Pavla Foltynová, Ph.D., učo 106624. Changed: 13/3/2019 13:15.
Abstract
In chronic lymphocytic leukemia (CLL), TP53 gene defects, due to deletion of the 17p13 locus and/or mutation(s) within the TP53 gene, are associated with resistance to chemoimmunotherapy and a particularly dismal clinical outcome. On these grounds, analysis of TP53 aberrations has been incorporated into routine clinical diagnostics to improve patient stratification and optimize therapeutic decisions. The predictive implications of TP53 aberrations have increasing significance in the era of novel targeted therapies, i.e., inhibitors of B-cell receptor (BcR) signaling and anti-apoptotic BCL2 family members, owing to their efficacy in patients with TP53 defects. In this report, the TP53 Network of the European Research Initiative on Chronic Lymphocytic Leukemia (ERIC) presents updated recommendations on the methodological approaches for TP53 mutation analysis. Moreover, it provides guidance to ensure that the analysis is performed in a timely manner for all patients requiring treatment and that the data is interpreted and reported in a consistent, standardized, and accurate way. Since next generation sequencing technologies are gaining prominence within diagnostic laboratories, this report also offers advice and recommendations for the interpretation of TP53 mutation data generated by this methodology.
Links
LM2015091, research and development projectName: Národní centrum lékařské genomiky (Acronym: NCLG)
Investor: Ministry of Education, Youth and Sports of the CR
LQ1601, research and development projectName: CEITEC 2020 (Acronym: CEITEC2020)
Investor: Ministry of Education, Youth and Sports of the CR
ROZV/24/LF/2016, interní kód MUName: LF - Příspěvek IP 2016
Investor: Ministry of Education, Youth and Sports of the CR
116026, interní kód MUName: HARMONY - Healthcare Alliance for Resourceful Medicines Offensive against Neoplasms in Hematology (Acronym: HARMONY)
Investor: European Union, Innovative Medicines Initiative
692298, interní kód MUName: MEDGENET - Medical genomics and epigenomics network (Acronym: MEDGENET)
Investor: European Union, Spreading excellence and widening participation
PrintDisplayed: 15/7/2024 02:01