Bal Mukund Mishra

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.

Complex Patterns of Altered MicroRNA Expression during the Adenoma-Adenocarcinoma Sequence for Microsatellite-Stable Colorectal Cancer

Purpose: MicroRNAs are short noncoding RNAs that regulate gene expression and are over- or underexpressed in most tumors, including colorectal adenocarcinoma. MicroRNAs are potential biomarkers and therapeutic targets and agents, but limited information on microRNAome alterations during progression in the well-known adenoma-adenocarcinoma sequence is available to guide their usage. Experimental Design: We profiled 866 human microRNAs by microarray analysis in 69 matched specimens of microsatellite-stable adenocarcinomas, adjoining precursor adenomas including areas of high- and low-grade dysplasia, and nonneoplastic mucosa. Results: We found 230 microRNAs that were significantly differentially expressed during progression, including 19 not reported previously. Altered microRNAs clustered into two major patterns of early (type I) and late (type II) differential expression. The largest number (n = 108) was altered at the earliest step from mucosa to low-grade dysplasia (subtype IA) prior to major nuclear localization of β-catenin, including 36 microRNAs that had persistent differential expression throughout the entire sequence to adenocarcinoma. Twenty microRNAs were intermittently altered (subtype IB), and six were transiently altered (subtype IC). In contrast, 33 microRNAs were altered late in high-grade dysplasia and adenocarcinoma (subtype IIA), and 63 in adenocarcinoma only (subtype IIB). Predicted targets in 12 molecular pathways were identified for highly altered microRNAs, including the Wnt signaling pathway leading to low-grade dysplasia. β-catenin expression correlated with downregulated microRNAs. Conclusions: Our findings suggest that numerous microRNAs play roles in the sequence of molecular events, especially early events, resulting in colorectal adenocarcinoma. The temporal patterns and complexity of microRNAome alterations during progression will influence the efficacy of microRNAs for clinical purposes. Clin Cancer Res; 17(23); 7283–93. ©2011 AACR.

Comprehensive Screening of Gene Copy Number Aberrations in Formalin-Fixed, Paraffin-Embedded Solid Tumors Using Molecular Inversion Probe–Based Single-Nucleotide Polymorphism Array

Gene copy number aberrations (CNAs) represent a major class of cancer-related genomic alterations that drive solid tumors. Comprehensive and sensitive detection of CNAs is challenging because of often low quality and quantity of DNA isolated from the formalin-fixed, paraffin-embedded (FFPE) solid tumor samples. Here, in a clinical molecular diagnostic laboratory, we tested the utility and validated a molecular inversion probe-based (MIP) array to routinely screen for CNAs in solid tumors. Using low-input FFPE DNA, the array detects genome-wide CNAs with a special focus on 900 cancer-related genes. A cohort of 76 solid tumors of various types and tumor cellularity (20% to 100%), and four cancer cell lines were used. These harbored CNAs in clinically important genes (ERBB2, EGFR, FGFR1, KRAS, MYC) as detected by orthogonal techniques like next-generation sequencing or fluorescence in situ hybridization. Results of the MIP array were concordant with results from orthogonal techniques, and also provided additional information regarding the allelic nature of the CNAs. Limit-of-detection and assay reproducibility studies showed a high degree of sensitivity and reproducibility of detection, respectively. FFPE compatibility, ability to detect CNAs with high sensitivity, accuracy, and provide valuable information such as loss of heterozygosity along with relatively short turnaround times makes the MIP array a desirable clinical platform for routine screening of solid tumors in a clinical laboratory.

Array comparative genomic hybridization analysis identifies recurrent gain of chromosome 2p25.3 involving the ACP1 and MYCN genes in chronic lymphocytic leukemia.

Chromosomal aberrations are independent prognostic markers in chronic lymphocytic leukemia (CLL). Recent studies using genomic arrays have shown recurrent gains of the short arm of chromosome 2 (2p) in a subset of CLL. We evaluated 178 CLL cases for 2p gains using custom-designed oligonucleotide array-based comparative genomic hybridization (aCGH). A high frequency of 2p gains was observed in 53 of 178 (30%) cases, which ranged from a small 29-kb region to large segments involving the entire short arm. Besides several common chromosomal aberrations associated with 2p gain, we demonstrated a novel observation that gain of the telomeric region 2p25.3 harboring the ACP1 gene is common in CLL (25%, 44 of 178 cases). The ACP1 gene has been previously shown to regulate T-cell receptor signaling through ZAP-70, and both genes are unfavorable clinical markers for CLL. Quantitative polymerase chain reaction (qPCR) confirmed the presence of 3-6 copies of ACP1 in 35 of 40 (88%) of these cases. Interestingly, none of the aCGH diploid CLL cases showed gain of ACP1. Assessment of 73 healthy individuals by qPCR revealed ACP1 copy number gain in only two cases (2.7%). Gain of 2p25.3 was associated with ZAP-70 expression (P < .002) and unmutated immunoglobulin heavy chain variable (IGHV) gene mutation (P < .0001). A high frequency of MYCN co-amplication with ACP1 was observed (14 of 40 cases, 35%). The frequent 2p25.3 gain involving the ACP1 and MYCN genes may help define the critical region of 2p that contributes to pathogenesis of CLL together with other chromosomal abnormalities.

Genome-wide copy number aberrations and HER2 and FGFR1 alterations in primary breast cancer by molecular inversion probe microarray

Breast cancer remains the second leading cause of cancer-related death in women despite stratification based on standard hormonal receptor (HR) and HER2 testing. Additional prognostic markers are needed to improve breast cancer treatment. Chromothripsis, a catastrophic genome rearrangement, has been described recently in various cancer genomes and affects cancer progression and prognosis. However, little is known about chromothripsis in breast cancer. To identify novel prognostic biomarkers in breast cancer, we used molecular inversion probe (MIP) microarray to explore genome-wide copy number aberrations (CNA) and breast cancer-related gene alterations in DNA extracted from formalin-fixed paraffin-embedded tissue. We examined 42 primary breast cancers with known HR and HER2 status assessed via immunohistochemistry and FISH and analyzed MIP microarray results for correlation with standard tests and survival outcomes. Global genome-wide CNA ranged from 0.2% to 65.7%. Chromothripsis-like patterns were observed in 23/38 (61%) cases and were more prevalent in cases with =10% CNA (20/26, 77%) than in cases with <10% CNA (3/12, 25%; p<0.01). Most frequently involved chromosomal segment was 17q12-q21, the HER2 locus. Chromothripsis-like patterns involving 17q12 were observed in 8/19 (42%) of HER2-amplified tumors but not in any of the tumors without HER2 amplification (0/19; p<0.01). HER2 amplification detected by MIP microarray was 95% concordant with conventional testing (39/41). Interestingly, 21% of patients (9/42) had fibroblast growth factor receptor 1 (FGFR1)amplification and had a 460% higher risk for mortality than those without FGFR1 amplification (p<0.01). In summary, MIP microarray provided a robust assessment of genomic CNA of breast cancer.

Identification of clinically important chromosomal aberrations in acute myeloid leukemia by array-based comparative genomic hybridization

Abstract Array-based comparative genomic hybridization (aCGH) chromosomal analysis facilitates rapid detection of cytogenetic abnormalities previously undetectable by conventional cytogenetics. In this study, we analyzed 48 uniformly treated patients with acute myeloid leukemia (AML) by 44K aCGH and correlated the findings with clinical outcome. aCGH identified previously undetected aberrations, as small as 5 kb, of currently unknown significance. The 36.7 Mb minimally deleted region on chromosome 5 lies between 5q14.3 and 5q33.3 and contains 634 genes and 15 microRNAs, whereas loss of chromosome 17 spans 3194 kb and involves 342 genes and 12 microRNAs. Loss of a 155 kb region on 5q33.3 (p < 0.05) was associated with achievement of complete remission (CR). In contrast, loss of 17p11.2-q11.1 was associated with a lower CR rate and poorer overall survival (Kaplan–Meier analysis, p < 0.0096). aCGH detected loss of 17p in 12/48 patients as compared to 9/48 by conventional karyotyping. In conclusion, aCGH analysis adds to the prognostic stratification of patients with AML.

Genomic and Clinicopathologic Features of Primary Myelofibrosis With Isolated 13q Deletion

BACKGROUND Primary myelofibrosis (PMF) is a rare myeloproliferative stem cell disorder. The genomic features in PMF are poorly understood. Characterization of genomic alternations in PMF helps to determine their association with clinicopathologic features for further therapeutic implications. PATIENTS AND METHODS In this retrospective study, we investigated genomic changes using array-based comparative genomic hybridization (aCGH) in 17 PMF patients with isolated del(13q) and confirmed our aCGH findings with quantitative polymerase chain reaction (PCR) assay. We also compared the clinicopathologic features of patients with del(13q) (n = 17) with those of patients with a normal karyotype (NK) (n = 26). RESULTS Clinicopathologically, del(13q) PMF patients had significantly higher blast counts (P = .03) than did NK patients, who had significantly higher marrow cellularity (P = .02). The degree of bone marrow fibrosis of PMF-3 was higher in the del(13q) group than in the NK group. Splenomegaly was present significantly more often in the del(13q) PMF group than in the NK group (P = .03). Genomically, the Janus Kinase 2 V617F mutation was observed less often in del(13q) PMF patients (P = .07). The common deleted region in del(13q) was confined to 13q13-13q14.3 according to G-band karyotyping, demonstrating a minimal deleted region (MDR) of 15.323 Mb, identified using aCGH. The tumor suppressor genes, Retinoblastoma, Forkhead box protein O1, and Succinyl -CoA ligase [ADP-forming] subunit beta in the MDR were deleted, confirmed using real-time PCR to confirm our aCGH findings. CONCLUSION Accurate molecular characterization of del(13q) in PMF using aCGH and quantitative PCR provided further insight to define the MDR and analyze the genomic changes in del(13q) PMF patients.

Validation of quantitative PCR-based assays for detection of gene copy number aberrations in formalin-fixed, paraffin embedded solid tumor samples

Gene copy number changes are important somatic alterations in cancers. A number of high throughput methods, such as next generation sequencing, are capable of detecting copy number aberrations, but their use can be challenging and cost prohibitive for screening a small number of markers. Furthermore, detection of CNAs by high throughput platforms needs confirmation by an orthogonal technique, especially in cases with low level CNAs. Here, we have validated TaqMan based quantitative PCR (qPCR) assays to detect CNAs in genes of high clinical importance in formalin-fixed, paraffin-embedded (FFPE) samples. A cohort of 22 tumors of various types that harbor 67 CNAs in 13 genes was assessed. The abnormalities in these tumors were detected by using a NGS-based 50 gene hotspot panel on Ion Torrent PGM and molecular inversion probe (MIP) array. The CNAs included ERBB2 (n = 6), PDGFRA (n = 6), KIT (n = 7), NRAS (n = 3), PIK3CA (n = 6), MYC (n = 7), MET (n = 4), FLT3 (n = 6), FGFR3 (n = 3), FGFR2 (n = 3), EGFR (n = 7), KRAS (n = 6) and FGFR1 (n = 5). Different amounts of input DNA were tested and 5 ng FFPE DNA was found to be adequate without limiting detection sensitivity. All 22 (100%) positive tumor samples revealed by MIP array were confirmed by real time qPCR and 17 of 22 (77.2%) samples tested by NGS were confirmed. The limit of detection of the qPCR assay was determined by serial dilution of SKBR3 cell line DNA (with amplified ERBB2) and showed an ability to detect 3 copies consistently up to 0.75% dilution. The ability to use low input of FFPE DNA, high sensitivity, and short turnaround time makes qPCR a valuable and economically viable platform for detecting single gene CNAs as well as for confirmation of CNAs detected by high throughput screening assays.