Tumor molecular profiling is a fundamental component of precision oncology, enabling the identification of genomic alterations in genes and pathways that can be targeted therapeutically. The existence of recurrent targetable alterations across distinct histologically-defined tumor types, coupled with an expanding portfolio of molecularly-targeted therapies, demands flexible and comprehensive approaches to profile clinically significant genes across the full spectrum of cancers. We established a large-scale, prospective clinical sequencing initiative utilizing a comprehensive assay, MSK-IMPACT, through which we have compiled matched tumor and normal sequence data from a unique cohort of more than 10,000 patients with advanced cancer and available pathological and clinical annotations. Using these data, we identified clinically relevant somatic mutations, novel non-coding alterations, and mutational signatures that were shared among common and rare tumor types. Patients were enrolled on genomically matched clinical trials at a rate of 11%. To enable discovery of novel biomarkers and deeper investigation into rare alterations and tumor types, all results are publicly accessible.

The identification of specific genetic alterations as key oncogenic drivers and the development of targeted therapies are together transforming clinical oncology and creating a pressing need for increased breadth and throughput of clinical genotyping. Next-generation sequencing assays allow the efficient and unbiased detection of clinically actionable mutations. To enable precision oncology in patients with solid tumors, we developed Memorial Sloan Kettering-Integrated Mutation Profiling of Actionable Cancer Targets (MSK-IMPACT), a hybridization capture-based next-generation sequencing assay for targeted deep sequencing of all exons and selected introns of 341 key cancer genes in formalin-fixed, paraffin-embedded tumors. Barcoded libraries from patient-matched tumor and normal samples were captured, sequenced, and subjected to a custom analysis pipeline to identify somatic mutations. Sensitivity, specificity, reproducibility of MSK-IMPACT were assessed through extensive analytical validation. We tested 284 tumor samples with previously known point mutations and insertions/deletions in 47 exons of 19 cancer genes. All known variants were accurately detected, and there was high reproducibility of inter- and intrarun replicates. The detection limit for low-frequency variants was approximately 2% for hotspot mutations and 5% for nonhotspot mutations. Copy number alterations and structural rearrangements were also reliably detected. MSK-IMPACT profiles oncogenic DNA alterations in clinical solid tumor samples with high accuracy and sensitivity. Paired analysis of tumors and patient-matched normal samples enables unambiguous detection of somatic mutations to guide treatment decisions.

IntroductionOur understanding of the molecular pathogenesis of myeloid malignancies, most notably acute myeloid leukemia (AML) and chronic myeloid leukemia (CML), has largely resulted from the identification and characterization of recurrent chromosomal translocations. 1 However, in many patients with myeloproliferative neoplasms (MPNs) and chronic myelomonocytic leukemia (CMML), recurrent clonal cytogenetic abnormalities are not observed. More recently, DNA resequencing studies of candidate genes, 2 gene families, 3,4 and the cancer genome 5 in MPN, CMML, and AML have identified somatic mutations in FLT3, 6 JAK2, [7][8][9][10][11][12][13]14,15 and the RAS family of oncogenes. 16 These discoveries demonstrate activation of signal transduction pathways is a common pathogenic event in myeloid malignancies and have led to the development of molecularly targeted therapies. However, with the exception of CML, these therapies have yet to substantively improve outcomes for patients with myeloid malignancies. 17,18 This may reflect insufficient target inhibition, or, alternatively, this may indicate incomplete dependence on these activated pathways resulting from the presence of additional somatic mutations with prognostic, therapeutic, and biologic relevance.The role of TET (Ten-Eleven Translocation) family gene members in hematopoietic transformation was thought to be restricted to the involvement of TET1 as a translocation partner MLL-translocated AML, until the recent identification of inactivating mutations in TET2 in MPN and MDS patients. 19 We therefore sought to evaluate a large set of MPN, CMML, and AML samples for somatic TET2 alterations. We sequenced all coding exons of TET2 in 408 paired tumor/normal samples and then assessed the frequency of somatic TET2 mutations in 606 patients with MPN, CMML, and AML. We also investigated whether deletion or epigenetic inactivation of TET2 are observed in MPN and evaluated MPN patients for somatic mutations in TET1 and TET3. Methods Copy number analysis of TET1, TET2, and TET3A total of 207 MPN tumor samples were analyzed using Affymetrix 250K StyI Arrays. 20 The JAK2V617F-mutant AML cell lines HEL and SET2 were analyzed using Affymetrix 6.0 SNP Arrays. Methylation-specific polymerase chain reactionMethylation of 2 CpG islands in the promoter region of TET2 was assessed in 37 MPN patients and 4 JAK2V617F-positive leukemia cell lines (SET2, MBO2, HEL, UKE1). Methylation-specific polymerase chain reaction was performed as previously described (primers are listed in supplemental Table 1). 21 StatisticsStatistical analyses were performed using MedCalc (MedCalc). Results and discussionSequence analysis of all coding exons of TET2 in 408 paired tumor/normal samples identified 8 frameshift, 12 nonsense, and 37 nonsynonymous alterations not present in dbSNP. Analysis of germ line DNA distinguished between 31 somatic missense mutations and 6 unannotated SNPs (Table 1; supplemental Figure 1); all unannotated SNPs were observed in matched normal tissue in at least 2 samples. Al...

The oncogenetic events that transform chronic myeloproliferative neoplasms (MPN) to acute myeloid leukemias (AML) are not well characterized. We investigated the role of several genes implicated in leukemic transformation by mutational analysis of 63 patients with AML secondary to a preexisting MPN (sAML). Frequent mutations were identified in TET2 (26.3%), ASXL1 (19.3%), IDH1 (9.5%), and JAK2 (36.8%) mutations in sAML, and all possible mutational combinations of these genes were also observed. Analysis of 14 patients for which paired samples from MPN and sAML were available showed that TET2 mutations were frequently acquired at leukemic transformation [6 of 14 (43%)]. In contrast, ASXL1 mutations were almost always detected in both the MPN and AML clones from individual patients. One case was also observed where TET2 and ASXL1 mutations were found before the patient acquired a JAK2 mutation or developed clinical evidence of MPN. We conclude that mutations in TET2, ASXL1, and IDH1 are common in sAML derived from a preexisting MPN. Although TET2/ASXL1 mutations may precede acquisition of JAK2 mutations by the MPN clone, mutations in TET2, but not ASXL1, are commonly acquired at the time of leukemic transformation. Our findings argue that the mutational order of events in MPN and sAML varies in different patients, and that TET2 and ASXL1 mutations have distinct roles in MPN pathogenesis and leukemic transformation. Given the presence of sAML that have no preexisting JAK2/TET2/ASXL1/IDH1 mutations, our work indicates the existence of other mutations yet to be identified that are necessary for leukemic transformation. Cancer Res; 70(2); 447-52. ©2010 AACR.

Plasmacytoid dendritic cells (pDC) are the principal natural type I interferon producing dendritic cells. Neoplastic expansion of pDCs and pDC precursors leads to blastic plasmacytoid dendritic cell neoplasm (BPDCN) and clonal expansion of mature pDCs has been described in chronic myelomonocytic leukemia (CMML). The role of pDC expansion in acute myeloid leukemia (AML) is poorly studied. Here we characterize AML patients with pDC expansion (pDC-AML), which we observe in approximately 5% of AML. pDC-AML often possess cross-lineage antigen expression and have adverse risk stratification with poor outcome. RUNX1 mutations are the most common somatic alterations in pDC-AML (>70%) and are much more common than in AML without pDC expansion and BPDCN. We demonstrate that pDCs are clonally related to, and originate from, leukemic blasts in pDC-AML. We further demonstrate that leukemic blasts from RUNX1-mutated AML upregulate a pDC transcriptional program, poising the cells towards pDC differentiation and expansion. Finally, tagraxofusp, a targeted therapy directed to CD123, reduces leukemic burden and eliminates pDCs in a patient-derived xenograft model. In conclusion, pDC-AML is characterized by a high frequency of RUNX1 mutations and increased expression of a pDC transcriptional program. CD123 targeting represents a potential treatment approach for pDC-AML.