Targeted next-generation sequencing in chronic lymphocytic leukemia: a high-throughput yet tailored approach will facilitate implementation in a clinical setting

Next-generation sequencing has revealed novel recurrent mutations in chronic lymphocytic leukemia, particularly in patients with aggressive disease. Here, we explored targeted re-sequencing as a novel strategy to assess the mutation status of genes with prognostic potential. To this end, we utilized HaloPlex targeted enrichment technology and designed a panel including nine genes: ATM, BIRC3, MYD88, NOTCH1, SF3B1 and TP53, which have been linked to the prognosis of chronic lymphocytic leukemia, and KLHL6, POT1 and XPO1, which are less characterized but were found to be recurrently mutated in various sequencing studies. A total of 188 chronic lymphocytic leukemia patients with poor prognostic features (unmutated IGHV, n=137; IGHV3-21 subset #2, n=51) were sequenced on the HiSeq 2000 and data were analyzed using well-established bioinformatics tools. Using a conservative cutoff of 10% for the mutant allele, we found that 114/180 (63%) patients carried at least one mutation, with mutations in ATM, BIRC3, NOTCH1, SF3B1 and TP53 accounting for 149/177 (84%) of all mutations. We selected 155 mutations for Sanger validation (variant allele frequency, 10–99%) and 93% (144/155) of mutations were confirmed; notably, all 11 discordant variants had a variant allele frequency between 11–27%, hence at the detection limit of conventional Sanger sequencing. Technical precision was assessed by repeating the entire HaloPlex procedure for 63 patients; concordance was found for 77/82 (94%) mutations. In summary, this study demonstrates that targeted next-generation sequencing is an accurate and reproducible technique potentially suitable for routine screening, eventually as a stand-alone test without the need for confirmation by Sanger sequencing.

[1]  Martin Dugas,et al.  Next-generation sequencing technology reveals a characteristic pattern of molecular mutations in 72.8% of chronic myelomonocytic leukemia by detecting frequent alterations in TET2, CBL, RAS, and RUNX1. , 2010, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[2]  Eric S. Lander,et al.  SF 3 B 1 and Other Novel Cancer Genes in Chronic Lymphocytic Leukemia , 2011 .

[3]  D. Rossi,et al.  Molecular and clinical features of chronic lymphocytic leukaemia with stereotyped B cell receptors: results from an Italian multicentre study , 2009, British journal of haematology.

[4]  Michael Hallek,et al.  Guidelines for the diagnosis and treatment of chronic lymphocytic leukemia: a report from the International Workshop on Chronic Lymphocytic Leukemia updating the National Cancer Institute-Working Group 1996 guidelines. , 2008, Blood.

[5]  Jenny Taylor,et al.  Monitoring chronic lymphocytic leukemia progression by whole genome sequencing reveals heterogeneous clonal evolution patterns. , 2012, Blood.

[6]  A. Kohlmann,et al.  The Interlaboratory RObustness of Next-generation sequencing (IRON) study: a deep sequencing investigation of TET2, CBL and KRAS mutations by an international consortium involving 10 laboratories , 2011, Leukemia.

[7]  D. Catovsky,et al.  The clinical significance of NOTCH1 and SF3B1 mutations in the UK LRF CLL4 trial. , 2013, Blood.

[8]  L. Pasqualucci,et al.  Disruption of BIRC 3 associates with fludarabine chemorefractoriness in TP 53 wild-type chronic lymphocytic leukemia , 2022 .

[9]  M. Cazzola,et al.  NOTCH1, SF3B1, and TP53 mutations in fludarabine-refractory CLL patients treated with alemtuzumab: results from the CLL2H trial of the GCLLSG. , 2012, Blood.

[10]  T. Stankovic,et al.  Mutations in the ATM gene lead to impaired overall and treatment-free survival that is independent of IGVH mutation status in patients with B-CLL. , 2005, Blood.

[11]  Juliane C. Dohm,et al.  Whole-genome sequencing identifies recurrent mutations in chronic lymphocytic leukaemia , 2011, Nature.

[12]  A. Kohlmann,et al.  SF3B1 mutations correlated to cytogenetics and mutations in NOTCH1, FBXW7, MYD88, XPO1 and TP53 in 1160 untreated CLL patients , 2014, Leukemia.

[13]  E. Giné,et al.  Exome sequencing identifies recurrent mutations of the splicing factor SF3B1 gene in chronic lymphocytic leukemia , 2011, Nature Genetics.

[14]  M. Cazzola,et al.  Gene mutations and treatment outcome in chronic lymphocytic leukemia: results from the CLL8 trial. , 2012, Blood.

[15]  L. Pasqualucci,et al.  Analysis of the chronic lymphocytic leukemia coding genome: role of NOTCH1 mutational activation , 2011, The Journal of experimental medicine.

[16]  G. Juliusson,et al.  On the way towards a ‘CLL prognostic index’: focus on TP53, BIRC3, SF3B1, NOTCH1 and MYD88 in a population-based cohort , 2014, Leukemia.

[17]  S. Carter,et al.  Clonal evolution in hematological malignancies and therapeutic implications , 2014, Leukemia.

[18]  R. Siebert,et al.  Mutation status of the residual ATM allele is an important determinant of the cellular response to chemotherapy and survival in patients with chronic lymphocytic leukemia containing an 11q deletion. , 2007, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[19]  J. Malcikova,et al.  TP53 aberrations in chronic lymphocytic leukemia. , 2013, Advances in experimental medicine and biology.

[20]  Marcel Martin Cutadapt removes adapter sequences from high-throughput sequencing reads , 2011 .

[21]  Nikolaos Laoutaris,et al.  Over 20% of patients with chronic lymphocytic leukemia carry stereotyped receptors: Pathogenetic implications and clinical correlations. , 2006, Blood.

[22]  R. Dalla‐Favera,et al.  Integrated mutational and cytogenetic analysis identifies new prognostic subgroups in chronic lymphocytic leukemia. , 2013, Blood.

[23]  E. Campo,et al.  Recurrent mutations refine prognosis in chronic lymphocytic leukemia , 2014, Leukemia.

[24]  Raul Rabadan,et al.  Clinical impact of small TP53 mutated subclones in chronic lymphocytic leukemia. , 2013, Blood.

[25]  Christopher A. Miller,et al.  VarScan 2: somatic mutation and copy number alteration discovery in cancer by exome sequencing. , 2012, Genome research.

[26]  Luca Laurenti,et al.  NOTCH1 mutations in +12 chronic lymphocytic leukemia (CLL) confer an unfavorable prognosis, induce a distinctive transcriptional profiling and refine the intermediate prognosis of +12 CLL , 2012, Haematologica.

[27]  K. Stamatopoulos,et al.  Feasibility of targeted next-generation sequencing of the TP53 and ATM genes in chronic lymphocytic leukemia , 2014, Leukemia.

[28]  Š. Pospíšilová,et al.  Detailed analysis of therapy-driven clonal evolution of TP53 mutations in chronic lymphocytic leukemia , 2014, Leukemia.

[29]  A. Sivachenko,et al.  SF3B1 and other novel cancer genes in chronic lymphocytic leukemia. , 2011, The New England journal of medicine.

[30]  M. Dyer,et al.  ATM germline heterozygosity does not play a role in chronic lymphocytic leukemia initiation but influences rapid disease progression through loss of the remaining ATM allele , 2012, Haematologica.

[31]  K. Stamatopoulos,et al.  Distinct patterns of novel gene mutations in poor-prognostic stereotyped subsets of chronic lymphocytic leukemia: the case of SF3B1 and subset #2 , 2013, Leukemia.

[32]  S. Ellard,et al.  Using SIFT and PolyPhen to predict loss-of-function and gain-of-function mutations. , 2010, Genetic testing and molecular biomarkers.

[33]  A. McKenna,et al.  Evolution and Impact of Subclonal Mutations in Chronic Lymphocytic Leukemia , 2012, Cell.

[34]  G. Juliusson,et al.  NOTCH1 and SF3B1 mutations can be added to the hierarchical prognostic classification in chronic lymphocytic leukemia , 2013, Leukemia.

[35]  H. Döhner,et al.  TP53 mutation and survival in chronic lymphocytic leukemia. , 2010, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[36]  T. Stankovic,et al.  Stromal-derived factor 1 inhibits the cycling of very primitive human hematopoietic cells in vitro and in NOD / SCID mice , 2002 .

[37]  H. Döhner,et al.  Strikingly homologous immunoglobulin gene rearrangements and poor outcome in VH3-21-using chronic lymphocytic leukemia patients independent of geographic origin and mutational status. , 2005, Blood.

[38]  L. Pasqualucci,et al.  Disruption of BIRC3 associates with fludarabine chemorefractoriness in TP53 wild-type chronic lymphocytic leukemia. , 2011, Blood.

[39]  Nikolaos Laoutaris,et al.  Geographic patterns and pathogenetic implications of IGHV gene usage in chronic lymphocytic leukemia: the lesson of the IGHV3-21 gene. , 2005, Blood.