Ronald Abraham
University of Texas MD Anderson Cancer Center
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The Journal of Molecular Diagnostics | 2010
Jonathan S.L. Earle; Rajyalakshmi Luthra; Angela Romans; Ronald Abraham; Joe Ensor; Hui Yao; Stanley R. Hamilton
MicroRNAs (miRNA), small noncoding RNAs, are potential diagnostic and prognostic markers, as well as therapeutic targets. miRNA profiles of colorectal carcinomas have not been studied extensively in the context of microsatellite instability (MSI) status. We therefore evaluated 55 paired colorectal adenocarcinomas (CRC) and non-neoplastic mucosa samples using a panel of 24 miRNAs selected by literature review and prior studies in our laboratory. Stem-loop reverse transcriptase quantitative (real-time) polymerase chain reaction assays were done on RNA extracted from formalin-fixed, paraffin-embedded tissue of resection specimens. When miRNA expression was compared with clinicopathologic features and MSI status, eleven miRNAs (miR-183, -31, -20, -25, -92, -93, -17, -135a, -203, -133b, and -223) were over-expressed in CRC relative to mucosa, and nine (miR-192, -215, -26b, -143, -145, -191, -196a, -16, and let-7a) were under-expressed in CRC. Relative expression of miR-92, -223, -155, -196a, -31, and -26b were significantly different among MSI subgroups, and miR-31 and miR-223 were overexpressed in CRC of patients with hereditary non-polyposis colorectal cancer syndrome (Lynch syndrome). Our findings indicate that miRNA expression in CRC is associated with MSI subgroups, including low MSI and HNPCC-associated cancers, and that miRNAs may have posttranscriptional gene regulatory roles in these MSI subgroups and possible effects on the clinicopathologic and biomarker characteristics.
British Journal of Cancer | 2014
Rajesh Singh; Keyur P. Patel; Mark Routbort; Kenneth D. Aldape; Xinyan Lu; Jawad Manekia; Ronald Abraham; Neelima Reddy; Bedia A. Barkoh; J. Veliyathu; L. J. Medeiros; Rajyalakshmi Luthra
Background:In a clinical diagnostic laboratory, we evaluated the applicability of the Ion Proton sequencer for screening 409 cancer-related genes in solid tumours.Methods:DNA was extracted from formalin-fixed, paraffin-embedded (FFPE) tissue biopsy specimens of 55 solid tumours (20 with matched normal tissue) and four cell lines and screened for mutations in 409 genes using the Ion Proton system. The mutation profiles of these samples were known based on prior testing using the Ion Torrent Personal Genome Machine (46-gene hotspot panel), Sanger sequencing, or fluorescence in situ hybridisation (FISH). Concordance with retrospective findings and additional mutations were evaluated. Assay sensitivity and reproducibility were established. Gene copy number variations (CNVs) detected were confirmed by molecular inversion probe (MIP) array.Results:The average Ion Proton (409-gene panel) sequencing output per run was 8 gigabases with 128 million sequencing reads. Of the 15,992 amplicons in the 409-gene panel, 90% achieved a minimum average sequencing depth of 100X. In 59 samples, the Ion Proton detected 100 of 105 expected single-nucleotide variants (SNVs) and all expected deletions (n=8), insertions (n=5), and CNVs (n=7). Five SNVs were not detected due to failed amplification of targeted regions. In 20 tumours with paired normal tissue, Ion Proton detected 37 additional somatic mutations, several in genes of high prognostic or therapeutic significance, such as MET, ALK, TP53, APC, and PTEN. MIP array analysis confirmed all CNVs detected by Ion Proton.Conclusions:The Ion Proton (409-gene panel) system was found to be well suited for use in a clinical molecular diagnostic laboratory. It can simultaneously screen 409 genes for a variety of sequence variants in multiple samples using a low input of FFPE DNA with high reproducibility and sensitivity.
Oncotarget | 2017
Hui Chen; Rajesh Singh; Xinyan Lu; Lei Huo; Hui Yao; Kenneth D. Aldape; Ronald Abraham; Shumaila Virani; Meenakshi Mehrotra; Bal Mukund Mishra; Alex Bousamra; Constance Albarracin; Yun Wu; Sinchita Roy-Chowdhuri; Rashmi Kanagal Shamanna; Mark Routbort; L. Jeffrey Medeiros; Keyur P. Patel; Russell Broaddus; Aysegul A. Sahin; Rajyalakshmi Luthra
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.
Leukemia & Lymphoma | 2014
Meenakshi Mehrotra; Rajyalakshmi Luthra; Farhad Ravandi; Rachel L. Sargent; Bedia A. Barkoh; Ronald Abraham; Bal Mukund Mishra; L. Jeffrey Medeiros; Keyur P. Patel
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.
Clinical Lymphoma, Myeloma & Leukemia | 2015
Meenakshi Mehrotra; Keyur P. Patel; Tianjian Chen; Roberto N. Miranda; Yaping Wang; Zhuang Zuo; Ramya Muddasani; Bal Mukund Mishra; Ronald Abraham; Rajyalakshmi Luthra; Gary Lu
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.
Cancer Genetics and Cytogenetics | 2017
Meenakshi Mehrotra; Rajyalakshmi Luthra; Ronald Abraham; Bal Mukund Mishra; Shumaila Virani; Hui Chen; Mark Routbort; Keyur P. Patel; L. Jeffrey Medeiros; Rajesh Singh
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.
American Journal of Pathology | 2009
Dipen M. Maru; Rajesh Singh; Christina Hannah; Constance Albarracin; Yong X. Li; Ronald Abraham; Angela Romans; Hui Yao; Madan G. Luthra; Sharmila Anandasabapathy; Stephen G. Swisher; Wayne L. Hofstetter; Asif Rashid; Rajyalakshmi Luthra
Molecular Cytogenetics | 2015
Jun Gu; Keyur P. Patel; Bing Bai; Ching Hua Liu; Guilin Tang; Hagop M. Kantarjian; Zhenya Tang; Ronald Abraham; Rajyalakshmi Luthra; L. Jeffrey Medeiros; Pei Lin; Xinyan Lu
Cancer Genetics and Cytogenetics | 2018
Ching-Hua (Ruby) Liu; Hui Chen; Lianghua Fang; Peter Hu; Jun Gu; Jin Zhao; Ronald Abraham; Hui Yao; Rajesh R. Singh; L. Jeffrey Medeiros; Rajyalakshimi Luthra; Xinyan Lu
Cancer Genetics and Cytogenetics | 2017
Rashmi Kanagal-Shamanna; Keyur P. Patel; Kristen Floyd; Wei Chen; Soheil Shams; Zhewei Che; Ronald Abraham; Balmukund Mishra; Rajesh R. Singh; L. Jeffrey Medeiros; Mark Routbort; Rajyalakshmi Luthra