A Cryptic BCR-PDGFRB Fusion Resulting in a Chronic Myeloid Neoplasm With Monocytosis and Eosinophilia: A Novel Finding With Treatment Implications.

RNA-seq was used to identify the partner gene and confirm the presence of a BCR-PDGFRB fusion. Identification of this fusion product resulted in successful treatment and long-term remission of this myeloid neoplasm. Based on our results, we suggest that despite current WHO recommendations, screening for PDGFRB rearrangement in cases of leukocytosis with eosinophilia and no other etiologic explanation is necessary, even if the karyotype is normal.

Targeted next-generation sequencing of endometrial cancer and matched circulating tumor DNA: identification of plasma-based, tumor-associated mutations in early stage patients.

There is currently no blood-based marker in routine use for endometrial cancer patients. Such a marker could potentially be used for early detection, but it could also help to track tumor recurrence following hysterectomy. This is important, as extra-vaginal recurrence of endometrial endometrioid adenocarcinoma is usually incurable. This proof-of-principle study was designed to determine if tumor-associated mutations could be detected in cell-free DNA from the peripheral blood of early and late stage endometrial endometrioid carcinoma patients. Approximately 90% of endometrioid carcinomas have at least one mutation in the genes CTNNB1, KRAS, PTEN, or PIK3CA. Using a custom panel targeting 30 hotspot amplicons in these four genes, next-generation sequencing was performed on cell-free DNA extracted from plasma obtained from a peripheral blood draw at the time of hysterectomy and the matching tumor DNA from 48 patients with endometrioid endometrial carcinomas. At least one mutation in the tumor was detected in 45/48 (94%) of patients. Fifteen of 45 patients (33%) had a mutation in the plasma that matched a mutation in the tumor. These same mutations were not detected in the matched negative control buffy coat. Presence of a plasma mutation was significantly associated with advanced stage at hysterectomy, deep myometrial invasion, lymphatic/vascular invasion, and primary tumor size. Detecting a plasma-based mutation was independent of the amount of cell-free DNA isolated from the plasma. Overall, 18% of early stage patients had a mutation detected in the plasma. These results demonstrate that mutations in genes relevant to endometrial cancer can be identified in the peripheral blood of patients at the time of surgery. Future studies can help to determine the post-operative time course of mutation clearance from the peripheral blood and if mutation re-emergence is predictive of recurrence.

Salvaging the supernatant: next generation cytopathology for solid tumor mutation profiling.

With the expanding role of targeted therapy in patients with solid tumors, pathologists face the daunting task of having to maximize limited volume tissue obtained by fine needle aspiration for a variety of molecular tests. While most molecular studies on fine needle aspiration samples have been reported using cellular material, recent studies have shown that a substantial amount of DNA can be retrieved from the supernatant fluid of aspirate needle rinses after cell pelleting for cytospin or cell block preparations. In routine clinical workflow, the supernatant is discarded; however this fluid may provide a complementary source of DNA for tumor mutational profiling. In this study, we evaluated the post-centrifuged supernatant from 25 malignant and 10 benign fine needle aspiration needle rinses. The mean and median DNA yields from the supernatants were 445 ng and 176.4 ng (range, 15.1-2958 ng), respectively. Next generation sequencing using the Ion AmpliSeq Cancer Hotspot Panel v2 detected somatic mutations in all 25 malignant samples. No mutations were detected in any of the benign samples tested. When available, mutations detected in the supernatant fluid were compared to the next generation sequencing analysis performed on a prior or concurrent surgical specimen from the same patient and showed 100% concordance. In a subset of cases (n = 19) mutations in EGFR, KRAS, BRAF, PIK3CA, and NRAS were successfully confirmed by droplet digital PCR, providing an orthogonal platform for mutation analysis. In summary, in this study we show that post centrifuged supernatants from fine needle aspiration needle rinses can provide a robust substrate for expanded mutation profiling by next generation sequencing, as well as hotspot mutation testing by droplet digital PCR. The ability to detect somatic mutations from otherwise discarded supernatant fluids offers the ability to triage and effectively utilize limited volume fine needle aspiration samples when multiple molecular tests are requested, without the need to re-biopsy for additional tissue samples.

Concurrent fine needle aspirations and core needle biopsies: a comparative study of substrates for next-generation sequencing in solid organ malignancies.

Minimally invasive procedures, such as fine needle aspiration and core needle biopsy, are commonly used for the diagnosis in solid organ malignancies. In the era of targeted therapy, it is crucial for molecular testing to be performed on these limited volume specimens. Although several recent studies have demonstrated the utility of small biopsy specimens for molecular testing, there remains debate as to whether core needle biopsy specimens are more reliable than fine needle aspiration for molecular studies. In this study, we reviewed concurrently acquired fine needle aspiration and core needle biopsy samples (n=24), and compared overall cellularity, tumor fraction, and the results of next-generation sequencing. All somatic mutations detected in core needle biopsy samples were also detected in fine needle aspiration samples. The estimated tumor fraction was significantly higher in fine needle aspiration smears than core needle biopsy samples (P=0.003), whereas the overall DNA yield from smears was significantly lower than that obtained from the core needle biopsy specimens (P=0.01). The normalized average amplicon coverage for the genes analyzed was significantly higher in cytology smears than paired core needle biopsy samples, with lower numbers of failed amplicons and higher overall mutation allelic frequencies seen in the former. We further evaluated 100 malignant fine needle aspiration and core needle biopsy samples, acquired concurrently, for overall cellularity and tumor fraction. Overall cellularity and tumor fraction of fine needle aspiration samples was significantly higher than concurrently acquired core needle biopsy samples (P<0.001). In conclusion, we show that fine needle aspiration samples frequently provide better cellularity, higher tumor fraction, and superior sequencing metrics than concurrently acquired core needle biopsy samples. Cytologic specimens, therefore, should be better integrated into routine molecular diagnostics workflow to maximize limited tissues for clinically relevant genomic testing.

Next-generation sequencing-based multi-gene mutation profiling of solid tumors using fine needle aspiration samples: promises and challenges for routine clinical diagnostics.

Increasing use of fine needle aspiration for oncological diagnosis, while minimally invasive, poses a challenge for molecular testing by traditional sequencing platforms due to high sample requirements. The advent of affordable benchtop next-generation sequencing platforms such as the semiconductor-based Ion Personal Genome Machine (PGM) Sequencer has facilitated multi-gene mutational profiling using only nanograms of DNA. We describe successful next-generation sequencing-based testing of fine needle aspiration cytological specimens in a clinical laboratory setting. We selected 61 tumor specimens, obtained by fine needle aspiration, with known mutational status for clinically relevant genes; of these, 31 specimens yielded sufficient DNA for next-generation sequencing testing. Ten nanograms of DNA from each sample was tested for mutations in the hotspot regions of 46 cancer-related genes using a 318-chip on Ion PGM Sequencer. All tested samples underwent successful targeted sequencing of 46 genes. We showed 100% concordance of results between next-generation sequencing and conventional test platforms for all previously known point mutations that included BRAF, EGFR, KRAS, MET, NRAS, PIK3CA, RET and TP53, deletions of EGFR and wild-type calls. Furthermore, next-generation sequencing detected variants in 19 of the 31 (61%) patient samples that were not detected by traditional platforms, thus increasing the utility of mutation analysis; these variants involved the APC, ATM, CDKN2A, CTNNB1, FGFR2, FLT3, KDR, KIT, KRAS, MLH1, NRAS, PIK3CA, SMAD4, STK11 and TP53 genes. The results of this study show that next-generation sequencing-based mutational profiling can be performed on fine needle aspiration cytological smears and cell blocks. Next-generation sequencing can be performed with only nanograms of DNA and has better sensitivity than traditional sequencing platforms. Use of next-generation sequencing also enhances the power of fine needle aspiration by providing gene mutation results that can direct personalized cancer therapy.

Next-generation sequencing-based multigene mutational screening for acute myeloid leukemia using MiSeq: applicability for diagnostics and disease monitoring.

Routine molecular testing in acute myeloid leukemia involves screening several genes of therapeutic and prognostic significance for mutations. A comprehensive analysis using single-gene assays requires large amounts of DNA, is cumbersome and timely consolidation of results for clinical reporting is challenging. High throughput, next-generation sequencing platforms widely used in research have not been tested vigorously for clinical application. Here we describe the clinical application of MiSeq, a next-generation sequencing platform to screen mutational hotspots in 54 cancer-related genes including genes relevant in acute myeloid leukemia (NRAS, KRAS, FLT3, NPM1, DNMT3A, IDH1/2, JAK2, KIT and EZH2). We sequenced 63 samples from patients with acute myeloid leukemia/myelodysplastic syndrome using MiSeq and compared the results with those obtained using another next-generation sequencing platform, Ion-Torrent Personal Genome Machine and other conventional testing platforms. MiSeq detected a total of 100 single nucleotide variants and 23 NPM1 insertions that were confirmed by Ion Torrent or conventional platforms, indicating complete concordance. FLT3-internal tandem duplications (n=10) were not detected; however, re-analysis of the MiSeq output by Pindel, an indel detection algorithm, did detect them. Dilution studies of cancer cell-line DNA showed that the quantitative accuracy of mutation detection was up to an allelic frequency of 1.5% with a high level of inter- and intra-run assay reproducibility, suggesting potential utility for monitoring response to therapy, clonal heterogeneity and evolution. Examples demonstrating the advantages of MiSeq over conventional platforms for disease monitoring are provided. Easy work-flow, high throughput multiplexing capability, 4-day turnaround time and simultaneous assessment of routinely tested and emerging markers make MiSeq highly applicable for clinical molecular testing in acute myeloid leukemia.

Relationship between PTEN, DNA mismatch repair, and tumor histotype in endometrial carcinoma: retained positive expression of PTEN preferentially identifies sporadic non-endometrioid carcinomas.

Loss of PTEN (phosphatase and tensin homolog) expression and microsatellite instability are two of the more common molecular alterations in endometrial carcinoma. From the published literature, it is controversial as to whether there is a relationship between these different molecular mechanisms. Therefore, a cohort of 187 pure endometrioid and non-endometrioid endometrial carcinomas, carefully characterized as to clinical and pathological features, was examined for PTEN sequence abnormalities and the immunohistochemical expression of PTEN and the DNA mismatch repair proteins MLH1, MSH2, MSH6, and PMS2. MLH1 methylation analysis was performed when tumors had loss of MLH1 protein. Mismatch repair protein loss was more frequent in endometrioid carcinomas compared with non-endometrioid carcinomas, a difference primarily attributable to the presence of MLH1 methylation in a greater proportion of endometrioid tumors. Among the non-endometrioid group, mixed endometrioid/non-endometrioid carcinomas were the histotype that most commonly had loss of a mismatch repair protein. In endometrioid tumors, the frequency of PTEN loss measured by immunohistochemistry and mutation did not differ significantly between the mismatch repair protein intact or mismatch repair protein loss groups, suggesting that PTEN loss is independent of mismatch protein repair status in this group. However, in non-endometrioid carcinomas, both intact positive PTEN immunohistochemical expression and PTEN wild type were highly associated with retained positive expression of mismatch repair proteins in the tumor. Relevant to screening endometrial cancers for Lynch Syndrome, an initial PTEN immunohistochemistry determination may be able to replace the use of four mismatch repair immunohistochemical markers in 63% of patients with non-endometrioid endometrial carcinoma. Therefore, PTEN immunohistochemistry, in combination with tumor histotype, is a useful adjunct in the clinical evaluation of endometrial carcinomas for Lynch Syndrome.

Clinical assessment of PTEN loss in endometrial carcinoma: immunohistochemistry outperforms gene sequencing.

PTEN (phosphatase and tensin homolog) is a tumor suppressor that negatively regulates the PI3K-AKT signaling pathway, which is implicated in the pathogenesis of endometrial carcinoma. Sanger sequencing has been considered to be the gold standard for detection of PTEN sequence abnormalities. However, this approach fails to address the epigenetic mechanisms that contribute to functional PTEN loss. Using a study cohort of 154 endometrioid and non-endometrioid endometrial carcinomas, we performed full-length PTEN sequencing and PTEN immunohistochemistry on each tumor. PTEN sequence abnormalities were detected in a significantly lower proportion of cases (43%) than PTEN protein loss (64%, P=0.0004). Endometrioid tumors had a significantly higher proportion of PTEN sequence abnormalities and PTEN protein loss than non-endometrioid tumors. Within the latter group, PTEN sequence abnormalities and PTEN protein loss were most frequent in undifferentiated carcinomas, followed by mixed carcinomas; they were least frequent in carcinosarcomas. Overall, at least one PTEN sequence abnormality was detected in each exon, and the greatest number of sequence abnormalities was detected in exon 8. Pure-endometrioid tumors had a significantly higher frequency of sequence abnormalities in exon 7 than did the non-endometrioid tumors (P=0.0199). Importantly, no mutational hotspots were identified. While PTEN protein loss by immunohistochemistry was identified in 89% of cases with a PTEN sequence abnormality, PTEN protein loss was detected by immunohistochemistry in 44% of cases classified as PTEN wild type by sequencing. For the first time, we demonstrate that PTEN immunohistochemistry is able to identify the majority of cases with functional PTEN loss. However, PTEN immunohistochemistry also detects additional cases with PTEN protein loss that would otherwise be undetected by gene sequencing. Therefore, for clinical purposes, immunohistochemistry appears to be a preferable technique for identifying endometrial tumors with loss of PTEN function.

Adequacy of small biopsy and cytology specimens for comprehensive genomic profiling of patients with non-small-cell lung cancer to determine eligibility for immune checkpoint inhibitor and targeted therapy.

AIMS: In advanced-stage non-small-cell lung cancer (NSCLC), incomplete genotyping for guideline-recommended genomic biomarkers poses a significant challenge to making informed and timely clinical decisions. We report our institution's experience in assessing the adequacy of small specimens for comprehensive genomic profiling for guideline-recommended lung cancer biomarker testing. METHODS: We performed a retrospective evaluation of all image-guided procedures for NSCLC performed in our institution between October 2016 and July 2018, including core needle biopsy (CNB) and fine-needle aspiration (FNA) in patients who had undergone genomic profiling for lung cancer. Lung cancer biomarker adequacy, defined as successful testing of guideline-recommended biomarkers including, epidermal growth factor receptor (EGFR); serine/threonine protein kinase B-Raf (BRAF); anaplastic lymphoma kinase (ALK); proto-oncogene tyrosine protein kinase ROS (ROS1); Rearranged during Transfection (RET); Tyrosine protein kinase Met (MET); and programmed cell death ligand 1 (PD-L1), was evaluated. RESULTS: A total of 865 cases were evaluated in this study, 785 of which included testing of all lung cancer biomarkers. Lung tissue was adequate for biomarker testing in 84% of cases; this rate increased to 87% when biomarker testing was combined with concurrently acquired FNA or CNB specimens. Biomarker testing success correlated strongly with DNA concentration (p<0.0001) and the use of 22G needles in endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA) procedures (p=0.0035). Biomarker testing of CNB specimens showed a significantly higher success rate than did biomarker testing of cytology FNA specimens (p=0.0005). The adequacy of EBUS-TBNA samples was not significantly different from that of the transthoracic needle aspiration samples (p=0.40). Variables such as age, gender, lesion size, site, diagnosis and number of needle passes showed no significant correlation with success rates in lung cancer biomarker testing. CONCLUSION: The growing numbers of therapeutic biomarkers in NSCLC requires judicious triage of limited-volume tissue from small specimens. Our study showed that thoracic small tissue specimens can be used successfully to provide prognostic and predictive information for the current guideline-recommended biomarkers for NSCLC in most cases.

Factors Impacting Clinically Relevant RNA Fusion Assays Using Next-Generation Sequencing.

CONTEXT.­: RNA-based next-generation sequencing (NGS) assays are being used with increasing frequency for comprehensive molecular profiling of solid tumors. OBJECTIVE.­: To evaluate factors that might impact clinical assay performance. DESIGN.­: A 4-month retrospective review of cases analyzed by a targeted RNA-based NGS assay to detect fusions was performed. RNA extraction was performed from formalin-fixed, paraffin-embedded tissue sections and/or cytology smears of 767 cases, including 493 in-house and 274 outside referral cases. The types of samples included 422 core needle biopsy specimens (55%), 268 resection specimens (35%), and 77 cytology samples (10%). RESULTS.­: Successful NGS fusion testing was achieved in 697 specimens (90.9%) and correlated positively with RNA yield (P < .001) and negatively with specimen necrosis (P = .002), decalcification (P < .001), and paraffin block age of more than 2 years (P = .001). Of the 697 cases that were successfully sequenced, 50 (7.2%) had clinically relevant fusions. The testing success rates and fusion detection rates were similar between core needle biopsy and cytology samples. In contrast, RNA fusion testing was often less successful using resection specimens (P = .007). Testing success was independent of the tumor percentage in the specimen, given that at least 20% tumor cellularity was present. CONCLUSIONS.­: The success of RNA-based NGS testing is multifactorial and is influenced by RNA quality and quantity. Identification of preanalytical factors affecting RNA quality and yield can improve NGS testing success rates.

Utilization of cytology smears improves success rates of RNA-based next-generation sequencing gene fusion assays for clinically relevant predictive biomarkers.

BACKGROUND: The use of RNA-based next-generation sequencing (NGS) assays to detect gene fusions for targeted therapy has rapidly become an essential component of comprehensive molecular profiling. For cytology specimens, the cell block (CB) is most commonly used for fusion testing; however, insufficient cellularity and/or suboptimal RNA quality are often limiting factors. In the current study, the authors evaluated the factors affecting RNA fusion testing in cytology and the added value of smears in cases with a suboptimal or inadequate CB. METHODS: A 12-month retrospective review was performed to identify cytology cases that were evaluated by a targeted RNA-based NGS assay. Samples were sequenced by targeted amplicon-based NGS for 51 clinically relevant genes on a proprietary platform. Preanalytic factors and NGS quality parameters were correlated with the results of RNA fusion testing. RESULTS: The overall success rate of RNA fusion testing was 92%. Of the 146 cases successfully sequenced, 14% had a clinically relevant fusion detected. NGS testing success positively correlated with RNA yield (P = .03) but was independent of the tumor fraction, the tumor size, or the number of slides used for extraction. CB preparations were adequate for testing in 45% cases, but the inclusion of direct smears increased the adequacy rate to 92%. There was no significant difference in testing success rates between smears and CB preparations. CONCLUSIONS: The success of RNA-based NGS fusion testing depends on the quality and quantity of RNA extracted. The use of direct smears significantly improves the adequacy of cytologic samples for RNA fusion testing for predictive biomarkers.

Application of COLD-PCR for improved detection of KRAS mutations in clinical samples.

KRAS mutations have been detected in approximately 30% of all human tumors, and have been shown to predict response to some targeted therapies. The most common KRAS mutation-detection strategy consists of conventional PCR and direct sequencing. This approach has a 10-20% detection sensitivity depending on whether pyrosequencing or Sanger sequencing is used. To improve detection sensitivity, we compared our conventional method with the recently described co-amplification-at-lower denaturation-temperature PCR (COLD-PCR) method, which selectively amplifies minority alleles. In COLD-PCR, the critical denaturation temperature is lowered to 80 degrees C (vs 94 degrees C in conventional PCR). The sensitivity of COLD-PCR was determined by assessing serial dilutions. Fifty clinical samples were used, including 20 fresh bone-marrow aspirate specimens and the formalin-fixed paraffin-embedded (FFPE) tissue of 30 solid tumors. Implementation of COLD-PCR was straightforward and required no additional cost for reagents or instruments. The method was specific and reproducible. COLD-PCR successfully detected mutations in all samples that were positive by conventional PCR, and enhanced the mutant-to-wild-type ratio by >4.74-fold, increasing the mutation detection sensitivity to 1.5%. The enhancement of mutation detection by COLD-PCR inversely correlated with the tumor-cell percentage in a sample. In conclusion, we validated the utility and superior sensitivity of COLD-PCR for detecting KRAS mutations in a variety of hematopoietic and solid tumors using either fresh or fixed, paraffin-embedded tissue.

Centrifuged supernatants from FNA provide a liquid biopsy option for clinical next-generation sequencing of thyroid nodules.

BACKGROUND: Molecular testing is recommended as an adjunct to improve the preoperative diagnosis of fine-needle aspiration (FNA) of thyroid nodules. Centrifuged supernatants from FNA samples, which are typically discarded, have recently emerged as a novel liquid-based biopsy for molecular testing. This study evaluates the use of thyroid FNA supernatants for detecting clinically relevant mutations. METHODS: Supernatants from thyroid FNA samples (n = 156) were evaluated. A 50-gene next-generation sequencing (NGS) assay was used, and mutation analysis results from a subset of samples were further compared with those of paired FNA smears and/or cell blocks. RESULTS: All 156 samples yielded adequate DNA (median, 135 ng; range, 11-3180 ng), and 129 of these samples (83%) were successfully sequenced by NGS. The most frequently detected somatic mutations included BRAF and RAS mutations, which were followed by RET, TP53, PTEN, CDKN2A, and PIK3CA mutations. Eleven of 31 cases with an indeterminate cytologic diagnosis and 9 of 12 cases that were suspicious for malignancy had somatic mutations, including the BRAF V600E mutation, which is highly definitive for papillary thyroid carcinoma (PTC). Seven of the 9 indeterminate and suspicious cases with the BRAF V600E mutation had surgical follow-up, and they were all confirmed to be PTC. A comparison of the mutation profiles derived from supernatants with those of paired smears and/or cell blocks in a small subset of cases (n = 8) showed 100% concordance. CONCLUSIONS: This study provides evidence that FNA supernatants can be used as a surrogate for thyroid molecular testing to improve diagnostic accuracy in indeterminate nodules, provide prognostic/predictive information, and improve overall patient management.

Ultra-Rapid Reporting of GENomic Targets (URGENTseq): Clinical Next-Generation Sequencing Results within 48 Hours of Sample Collection.

Next-generation sequencing (NGS)-based mutation panels profile multiple genes simultaneously, allowing the reporting of numerous genes while saving labor and resources. However, one drawback of using NGS is that the turnaround time is often longer than conventional single gene tests. This delay can be problematic if molecular results are required to guide therapy in patients with clinically aggressive diseases, such as acute myeloid leukemia. To overcome this limitation, we developed a novel custom platform designated as Ultra-rapid Reporting of GENomic Targets (URGENTseq), an integrated solution that includes workflow optimization and an innovative custom bioinformatics pipeline to provide targeted NGS results on fresh peripheral blood and bone marrow samples within an actionable time period. URGENTseq was validated for clinical use by determining mutant allelic frequency and minimum coverage in silico to achieve 100% concordance for all positive and negative calls between the URGENTseq and conventional sequencing approach. URGENTseq enables the reporting of selected genes useful for immediate diagnosis (CALR, CSF3R, JAK2, KRAS, MPL, NPM1, NRAS, SF3B1) and treatment decisions (IDH1, IDH2) in hematologic malignancies within 48 hours of specimen collection. In addition, we summarize the molecular findings of the first 272 clinical test results performed using the URGENTseq platform.

Clinical molecular testing for ASXL1 c.1934dupG p.Gly646fs mutation in hematologic neoplasms in the NGS era.

ASXL1 (additional sex combs like 1) is a gene that is mutated in a number of hematological neoplasms. The most common genetic alteration is c.1934dupG p.Gly646fs. Previous publications have shown that ASXL1 mutations have a negative prognostic impact in patients with MDS and AML, however, controversy exists regarding the molecular testing of ASXL1 c.1934dupG as polymerase splippage over the adjacent homopolymer could lead to a false-positive result. Here, we report the first study to systematically test different targeted next generation sequencing (NGS) approaches for this mutation in patients with hematologic neoplasms. In addition, we investigated the impact of proofreading capabilities of different DNA polymerases on ASXL1 c.1934dupG somatic mutation using conventional Sanger sequencing, another common method for ASXL1 genotyping. Our results confirm that ASXL1 c.1934dupG can be detected as a technical artifact, which can be overcome by the use of appropriate enzymes and library preparation methods. A systematic study of serial samples from 30 patients show that ASXL1 c.1934dupG is a somatic mutation in haematological neoplasms including MDS, AML, MPN and MDS/MPN and often is associated with somatic mutations of TET2, EZH2, IDH2, RUNX1, NRAS and DNMT3A. The pattern of clonal evolution suggests that this ASXL1 mutation might be an early mutational event that occurs in the principal clonal population and can serve as a clonal marker for persistent/relapsing disease.

Detection of somatic mutations in cell-free DNA in plasma and correlation with overall survival in patients with solid tumors.

A suitable clinical-grade platform is required for detection of somatic mutations with high sensitivity in cell-free DNA (cfDNA) of patients with solid tumors. In this study, we evaluated in parallel ultra-deep NGS with MassARRAY and allele-specific droplet digital PCR (ddPCR) for cfDNA genotyping and correlated cfDNA yield and mutation status with overall survival (OS) of patients. We assessed plasma samples from 46 patients with various advanced metastatic solid tumors and known mutations by deep sequencing using an Ampliseq cancer hotspot panel V2 on Ion Proton. A subset of these samples with DNA availability was tested by ddPCR and UltraSEEK MassARRAY for mutation detection in 5 genes (IDH1, PIK3CA, KRAS, BRAF, and NRAS). Sixty one of 104 expected tissue mutations and 6 additional mutations not present in the tissue were detected in cfDNA. ddPCR and MassARRAY showed 83% and 77% concordance with NGS for mutation detection with 100% and 79% sensitivity, respectively. The median OS of patients with lower cfDNA yield (74 vs 50 months; P < 0.03) and cfDNA negative for mutations (74.2 vs 53 months; p < 0.04) was significantly longer than in patients with higher cfDNA yield and positive for mutations. A limit-of-detection of 0.1% was demonstrated for ddPCR and MassARRAY platforms using a serially diluted positive cfDNA sample. The MassARRAY and ddPCR systems enable fast and cost-effective genotyping for a targeted set of mutations and can be used for single gene testing to guide response to chemotherapy or for orthogonal validation of NGS results.

Versatile ion S5XL sequencer for targeted next generation sequencing of solid tumors in a clinical laboratory.

BACKGROUND: Next generation sequencing based tumor tissue genotyping involves complex workflow and a relatively longer turnaround time. Semiconductor based next generation platforms varied from low throughput Ion PGM to high throughput Ion Proton and Ion S5XL sequencer. In this study, we compared Ion PGM and Ion Proton, with a new Ion S5XL NGS system for workflow scalability, analytical sensitivity and specificity, turnaround time and sequencing performance in a clinical laboratory. METHODS: Eighteen solid tumor samples positive for various mutations as detected previously by Ion PGM and Ion Proton were selected for study. Libraries were prepared using DNA (range10-40ng) from micro-dissected formalin-fixed, paraffin-embedded (FFPE) specimens using the Ion Ampliseq Library Kit 2.0 for comprehensive cancer (CCP), oncomine comprehensive cancer (OCP) and cancer hotspot panel v2 (CHPv2) panel as per manufacturer's instructions. The CHPv2 were sequenced using Ion PGM whereas CCP and OCP were sequenced using Ion Proton respectively. All the three libraries were further sequenced individually (S540) or multiplexed (S530) using Ion S5XL. For S5XL, Ion chef was used to automate template preparation, enrichment of ion spheres and chip loading. Data analysis was performed using Torrent Suite 4.6 software on board S5XL and Ion Reporter. A limit of detection and reproducibility studies was performed using serially diluted DLD1 cell line. RESULTS: A total of 241 variant calls (235 single nucleotide variants and 6 indels) expected in the studied cohort were successfully detected by S5XL with 100% and 97% concordance with Ion PGM and Proton, respectively. Sequencing run time was reduced from 4.5 to 2.5 hours with output range of 3-5 GB (S530) and 8-9.3Gb (S540). Data analysis time for the Ion S5XL is faster 1 h (S520), 2.5 h (S530) and 5 h (S540) chip, respectively as compared to the Ion PGM (3.5-5 h) and Ion Proton (8h). A limit detection of 5% allelic frequency was established along with high inter-run reproducibility. CONCLUSION: Ion S5XL system simplified workflow in a clinical laboratory, was feasible for running smaller and larger panels on the same instrument, had a shorter turnaround time, and showed good concordance for variant calls with similar sensitivity and reproducibility as the Ion PGM and Proton.

Study of Preanalytic and Analytic Variables for Clinical Next-Generation Sequencing of Circulating Cell-Free Nucleic Acid.

Detection of mutations in plasma circulating cell-free DNA (cfDNA) by next-generation sequencing (NGS) has opened up new possibilities for monitoring treatment response and disease progression in patients with solid tumors. However, implementation of cfDNA genotyping in diagnostic laboratories requires systematic assessment of preanalytical parameters and analytical performance of NGS platforms. We assessed the effects of peripheral blood collection tube and plasma separation time on cfDNA yield and integrity and performance of the Ion PGM, Proton, and MiSeq NGS platforms. cfDNA from 31 patients with diverse advanced cancers and known tumor mutation status was deep sequenced using targeted hotspot panels. Forty-five of 52 expected mutations and two additional mutations (KRAS p.Q61H and EZH2 p.Y646F) were detected in plasma through a custom bioinformatics pipeline. We observed comparable cfDNA concentration/integrity between collection tubes within 16 hours of plasma separation and equal analytical performance among NGS platforms, with 1% detection sensitivity for cfDNA genotyping.

Clinical Validation of a CXCR4 Mutation Screening Assay for Waldenstrom Macroglobulinemia.

OBJECTIVES: Waldenstrom macroglobulinemia (WM) is a B-cell lymphoma characterized by the accumulation of lymphocytes and plasmacytic cells in the bone marrow and by excess production of immunoglobulin M in serum. WM has been closely linked with the MYD88(L265P) mutation. Whole genome sequencing has identified somatic mutations in the CXCR4 gene in ∼29% of WM cases with MYD88(L265P). CXCR4 mutations may interfere with treatment response to ibrutinib. The goal of this study was to design and validate a clinical assay to detect CXCR4 mutations. METHODS: Thirty-three low-grade B-cell lymphomas with plasmacytic differentiation (23 MYD88(L265P) and 10 MYD88(WT)) involving various samples types (fresh and formalin-fixed tissues) formed the study group. We designed and validated Sanger sequencing and pyrosequencing assays to detect mutations in CXCR4 in a Clinical Laboratory Improvement Amendments-approved clinical laboratory. RESULTS: We identified 8 cases with CXCR4 mutations, including 5 single nucleotide substitutions (3 resulting in p.S338* and 1 in p.R334*), and 3 insertion/deletions. Seven of 8 CXCR4 mutated cases were also MYD88(L265P) mutant. Among the single nucleotide substitutions, we identified a novel missense variant (p.L326P) and a previously reported variant (G335S) of uncertain clinical significance. CONCLUSIONS: We successfully validated a set of clinical assays to detect mutations in CXCR4 mutations in a clinical laboratory.

Identification of Factors Affecting the Success of Next-Generation Sequencing Testing in Solid Tumors.

OBJECTIVES: Clinical laboratories are rapidly implementing next-generation sequencing (NGS) tests for mutation analysis, but there are few guidelines regarding sample quality for successful results. METHODS: We aimed to establish tissue quality parameters for successful NGS in solid tumors and to improve NGS performance. RESULTS: Analysis of 614 clinical cases tested in 2013 using a 50-gene hotspot mutation panel identified the major cause for unsuccessful NGS analysis was DNA less than 10 ng (91%, 67/74) associated with extremely small and low cellularity samples. High success rates were associated with resection procedures (333/342, 97%) and biopsied tumor larger than 10 mm(2) (77/77, 100%). NGS can be successfully performed on bone specimens processed with formic acid-based decalcification procedures (8/11, 73%). Tumor type and paraffin block age did not affect success. We demonstrated that NGS can be carried out on samples with less than 10 ng DNA. Analysis of 408 cases tested in 2014 using an optimized workflow showed improved NGS success rates from 88% to 95% (387/408) with pronounced improvement among tiny (<10 mm(2)) samples (from 76% to 94%) as well as cytology samples (from 58% to 87%). CONCLUSIONS: Identifying preanalytical tissue factors allows us to improve NGS performance and to successfully test tumors obtained from minimally invasive procedures.