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Objective Combined immunohistochemical and molecular classification using the Proactive Molecular Risk Classifier for Endometrial Cancer (ProMisE) independently predicts prognosis in endometrial carcinoma (EC). As next-generation sequencing (NGS) is entering clinical practice, we evaluated whether more comprehensive immunomolecular profiling (CIMP), including NGS and extended immunohistochemical analysis, could further refine the current ProMisE classification. Methods A series of 120 consecutive ECs, classified according to ProMisE, was stained immunohistochemically for CD3, CD8, PD-L1, beta-catenin and L1CAM. An in-house 96 gene NGS panel was performed on a subset of 44 ECs, representing the 4 ProMisE subgroups (DNA polymerase epsilon catalytic subunit exonuclease domain mutated (POLEmut), mismatch repair deficient (MMRd), p53 abnormal (p53 abn) and no specific molecular profile (NSMP) ECs). Cases harboring non-hotspot POLE variants were analyzed with Illumina TruSight Oncology 500 NGS panel (TSO500) as a surrogate for whole-exome sequencing. Results Eight cases harbored POLE variants, half of which were hotspots. Using TSO500, non-hotspot POLE variants were classified as pathogenic (3) or variant of unknown significance (1). POLEmut and MMRd ECs typically showed higher numbers of CD3+/CD8+ tumor-infiltrating lymphocytes and higher PD-L1 expression in tumor-infiltrating immune cells. p53 abn ECs showed significantly higher L1CAM immunoreactivity and frequently harbored gene amplifications including HER2 (25%), but typically lacked ARID1A or PTEN variants. Beta-catenin-positivity and FGFR2 variants were predominantly found in NSMP ECs. Conclusions Our data show that CIMP adds significant value to EC characterization and may help to determine pathogenicity of non-hotspot POLE variants, encountered more frequently than expected in our series. In addition, CIMP may reveal ECs benefitting from immune checkpoint inhibition and allows upfront identification of targetable alterations, such as HER2 amplification in p53 abn ECs.

Cytogenetic abnormalities are powerful prognostic factors in multiple myeloma (MM) and are routinely analyzed by FISH on bone marrow (BM) plasma cells (PC). Although considered the gold standard, FISH experiments can be laborious and expensive. Therefore, array-CGH (aCGH) has been introduced as an alternative approach for detecting copy number aberrations (CNA), reducing the number of FISH experiments per case and yielding genome-wide information. Currently, next generation sequencing (NGS) technologies offer new perspectives for the diagnostic workup of malignant disorders. In this study, we examined ultra-low depth whole genome sequencing (LDS) as a valid alternative for aCGH for the detection of CNA in BM PC in MM. To this end, BM aspirates obtained in a diagnostic setting from 20 MM cases were analyzed. CD138+ cell-sorted samples were subjected to FISH analysis. DNA was extracted for subsequent aCGH and LDS analysis. CNA were detected by aCGH and LDS in all but one case. Importantly, all CNA identified by parallel first generation aCGH analysis were also detected by LDS, along with six additional CNA in five cases. One of these additional aberrations was in a region of prognostic importance in MM and was confirmed using FISH. However, risk stratification in these particular cases was unaffected. Thus, a perfectly concordant prognostication between array-CGH and LDS was observed. This validates LDS as a novel and cost-efficient tool for the detection of CNA in MM. ispartof: GENES CHROMOSOMES & CANCER vol:59 issue:8 pages:465-471 ispartof: location:United States status: published

Introduction: Gastrointestinal stromal tumors (GISTs) are the most common mesenchymal tumors of the gastrointestinal tract and the most frequent sarcomas in some geographic regions. In patients with metastatic GIST, the tyrosine kinase inhibitor imatinib is the first-line standard of care. Mutations in KIT or specific platelet-derived growth factor receptor alpha (PDGFRA) gene aberrations in the tumor cells predict a favorable response to this agent, while tumors without KIT or PDGFRA mutations (“wild-type” GISTs) are usually resistant to such treatment. Next-generation sequencing (NGS) is commonly used for mutational analysis of GISTs. Case Presentation: We present a case of an unexpected response to imatinib treatment in a GIST that was initially called “wild-type” based on routine NGS. A spectacular response to empirical imatinib treatment triggered further genetic analysis and led to the identification of a 45-bp duplication in KIT exon 11 undetectable by routine NGS. Conclusion: Negative findings on routine NGS testing for KIT alterations do not exclude the presence of actionable drug targets, as in the case of larger or complex gene insertions or deletions. Updating the NGS bioinformatics pipeline to ensure identification of larger deletions or insertions or additional Sanger sequencing is warranted in NGS driver-negative GISTs in order to allow accurate detection of actionable mutations.

Targeted RNA-based Next-Generation Sequencing (tRNA-seq) is increasingly being used in molecular diagnostics for gene fusion detection in non-small cell lung cancer (NSCLC). However, few data support its clinical application for the detection of single nucleotide variants (SNVs) and small insertions/deletions. In this study, we evaluated the performance of tRNA-seq using Archer FusionPlex for simultaneous detection of actionable gene fusions, splice variants, SNVs and indels in formalin-fixed, paraffin-embedded NSCLC tissue.A total of 126 NSCLC samples, including 20 validation samples and 106 diagnostic cases, were analyzed by targeted DNA-based Next-Generation Sequencing (tDNA-seq) followed by tRNA-seq.All 28 SNVs and indels in the validation set, and 34 out of 35 mutations in the diagnostic set were identified by tRNA-seq. The only mutation undetected by tRNA-seq, ERBB2 p.(Ser310Tyr), was not included in the current Archer panel design. tRNA-seq revealed one additional BRAF p.(Val600Glu) mutation not found by tDNA-seq. SNVs and indels were correctly called by the vendor supplied software, except for ERBB2 duplication p.(Tyr772_A775dup) which was only detected by an additional in-house developed bio-informatics pipeline. Variant allelic frequency (VAF) values were generally higher at the expression level compared to the genomic level (range 6-96% for tRNA-seq versus 6-61% for tDNA-seq) and low VAF mutations in DNA (6-8% VAF) were all confirmed by tRNA-seq. Finally, tRNA-seq additionally identified a driver fusion or splice variant in 10 diagnostic NSCLC samples including one MET exon 14 skipping variant not detected by tDNA-seq.Our results demonstrate that tRNA-seq can be implemented in a diagnostic setting as an efficient strategy for simultaneous detection of actionable gene fusions, splice variants, SNVs and indels in NSCLC provided that adequate RNA-seq analysis tools are available, especially for the detection of indels. This approach allows upfront identification of currently recommended targetable molecular alterations in NSCLC samples.

Therapy resistance arises from heterogeneous drug-tolerant persister cells or minimal residual disease (MRD) through genetic and nongenetic mechanisms. A key question is whether specific molecular features of the MRD ecosystem determine which of these two distinct trajectories will eventually prevail. We show that, in melanoma exposed to mitogen-activated protein kinase therapeutics, emergence of a transient neural crest stem cell (NCSC) population in MRD concurs with the development of nongenetic resistance. This increase relies on a glial cell line-derived neurotrophic factor-dependent signaling cascade, which activates the AKT survival pathway in a focal adhesion kinase (FAK)-dependent manner. Ablation of the NCSC population through FAK inhibition delays relapse in patient-derived tumor xenografts. Strikingly, all tumors that ultimately escape this treatment exhibit resistance-conferring genetic alterations and increased sensitivity to extracellular signal-regulated kinase inhibition. These findings identify an approach that abrogates the nongenetic resistance trajectory in melanoma and demonstrate that the cellular composition of MRD deterministically imposes distinct drug resistance evolutionary paths. ispartof: CANCER CELL vol:39 issue:8 pages:1135-+ ispartof: location:United States status: published

UNLABELLED: Multiple myeloma (MM), is a heterogeneous disease in which chromosomal abnormalities are important for prognostic risk stratification. Cytogenetic profiling with FISH on plasma cells from bone marrow samples (BM-PCs) is the current gold standard, but variable infiltration of plasma cells or failed aspiration can hamper this process. Ultra-low coverage sequencing (ULCS) of circulating cell-free DNA (ccfDNA) may offer a minimally invasive alternative for the work-up of these cases. We compared ULCS, aCGH and FISH on selected BM-PCs in a routine setting with ULCS of ccfDNA for the detection of somatic copy number aberrations (CNAs) in MM. METHODS: Purified CD138+ BM-PCs of 23 MM patients at initiation of their treatment were subjected to aCGH, FISH and ULCS. Paired samples of peripheral blood-ccfDNA obtained at diagnosis were analyzed by ULCS and compared to the results found in BM-PCs. RESULTS: Using ULCS of ccfDNA, cytogenetic markers were identified in 18 out of 23 patients; five cases could not be analyzed due to low (≤3%) tumor fraction (TF). High similarity between CNA profiles of BM-PCs and ccfDNA was found. Moreover, 78% of the ccfDNA profiles resulted in the same risk classification as the routine FISH and/or BM-PCs ULCS and aCGH. Chromothripsis was detected in five patients; these had the highest TF values (range 7.1% to 42%) in our series and their profiles showed other high-risk anomalies. CONCLUSION: This proof-of-principle study indicates that ULCS of ccfDNA can reveal CNAs in MM and should be explored further as a cost-efficient alternative, especially in cases where BM-PC purification fails. ispartof: Cancer Treat Res Commun vol:28 pages:100380- ispartof: location:England status: published

Mutational analysis guides therapeutic decision making in patients with advanced-stage gastrointestinal stromal tumors (GISTs). We evaluated three targeted next-generation sequencing (NGS) assays, consecutively used over 4 years in our laboratory for mutational analysis of 162 primary GISTs: Agilent GIST MASTR, Illumina TruSight 26 and an in-house developed 96 gene panels. In addition, we investigated the feasibility of a more comprehensive approach by adding targeted RNA sequencing (Archer FusionPlex, 11 genes) in an attempt to reduce the number of Wild Type GISTs. We found KIT or PDGFRA mutations in 149 out of 162 GISTs (92.0%). Challenging KIT exon 11 alterations were initially missed by different assays in seven GISTs and typically represented deletions at the KIT intron 10-exon 11 boundary or large insertions/deletions (>24 base pairs). Comprehensive analysis led to the additional identification of driver alterations in 8/162 GISTs (4.9%): apart from BRAF and SDHA mutations (one case each), we found five GISTs harboring somatic neurofibromatosis type 1 (NF1) alterations (3.1%) and one case with an in-frame TRIM4-BRAF fusion not reported in GIST before. Eventually, no driver alteration was found in two out of 162 GISTs (1.2%) and three samples (1.9%) failed analysis. Our study shows that a comprehensive targeted NGS approach is feasible for routine mutational analysis of GIST, thereby substantially reducing the number of Wild Type GISTs, and highlights the need to optimize assays for challenging KIT exon 11 alterations.

Frontotemporal lobar degeneration (FTLD) is a heterogeneous group of syndromes with different symptoms. Frontotemporal lobar degeneration is mostly used as a clinical umbrella term for different diseases. In some clinical subtypes of the FTLD spectrum, a close correlation with underlying pathology can be found. Neuroimaging techniques, such as magnetic resonance imaging and position emission tomography help to detect neuroanatomical lesions and therefore obtain relevance for in vivo prediction of neurodegeneration. However, there is still a lack of neurochemical biomarkers helping to differentiate between underlying histopathologies. The following review gives an overview about present neurochemical biomarker studies and perspective approaches in the diagnosis of FTLD.