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Dive into the research topics where Keyur P. Patel is active.

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Featured researches published by Keyur P. Patel.


The Journal of Molecular Diagnostics | 2013

Clinical validation of a next-generation sequencing screen for mutational hotspots in 46 cancer-related genes

Rajesh Singh; Keyur P. Patel; Mark Routbort; Neelima Reddy; Bedia A. Barkoh; Brian Handal; Rashmi Kanagal-Shamanna; Wesley O. Greaves; L. Jeffrey Medeiros; Kenneth D. Aldape; Rajyalakshmi Luthra

Transfer of next-generation sequencing technology to a Clinical Laboratory Improvement Amendments-certified laboratory requires vigorous validation. Herein, we validated a next-generation sequencing screen interrogating 740 mutational hotspots in 46 cancer-related genes using the Ion Torrent AmpliSeq cancer panel and Ion Torrent Personal Genome Machine (IT-PGM). Ten nanograms of FFPE DNA was used as template to amplify mutation hotspot regions of 46 genes in 70 solid tumor samples, including 22 archival specimens with known mutations and 48 specimens sequenced in parallel with alternate sequencing platforms. In the archival specimens, the IT-PGM detected expected nucleotide substitutions (n = 29) and four of six insertions/deletions; in parallel, 66 variants were detected. These variants, except a single nucleotide substitution, were confirmed by alternate platforms. Repeated sequencing of progressively diluted DNA from two cancer cell lines with known mutations demonstrated reliable sensitivity at 10% variant frequency for single nucleotide variants with high intrarun and inter-run reproducibility. Manual library preparation yielded relatively superior sequencing performance compared with the automated Ion Torrent OneTouch system. Overall, the IT-PGM platform with the ability to multiplex and simultaneously sequence multiple patient samples using low amounts of FFPE DNA was specific and sensitive for single nucleotide variant mutation analysis and can be incorporated easily into the clinical laboratory for routine testing.


Journal of Clinical Oncology | 2015

Feasibility of Large-Scale Genomic Testing to Facilitate Enrollment Onto Genomically Matched Clinical Trials

Funda Meric-Bernstam; Lauren Brusco; Kenna Shaw; Chacha Horombe; Scott Kopetz; Michael A. Davies; Mark Routbort; Sarina Anne Piha-Paul; Filip Janku; Naoto T. Ueno; David S. Hong; John F. de Groot; Vinod Ravi; Yisheng Li; Raja Luthra; Keyur P. Patel; Russell Broaddus; John Mendelsohn; Gordon B. Mills

PURPOSE We report the experience with 2,000 consecutive patients with advanced cancer who underwent testing on a genomic testing protocol, including the frequency of actionable alterations across tumor types, subsequent enrollment onto clinical trials, and the challenges for trial enrollment. PATIENTS AND METHODS Standardized hotspot mutation analysis was performed in 2,000 patients, using either an 11-gene (251 patients) or a 46- or 50-gene (1,749 patients) multiplex platform. Thirty-five genes were considered potentially actionable based on their potential to be targeted with approved or investigational therapies. RESULTS Seven hundred eighty-nine patients (39%) had at least one mutation in potentially actionable genes. Eighty-three patients (11%) with potentially actionable mutations went on genotype-matched trials targeting these alterations. Of 230 patients with PIK3CA/AKT1/PTEN/BRAF mutations that returned for therapy, 116 (50%) received a genotype-matched drug. Forty patients (17%) were treated on a genotype-selected trial requiring a mutation for eligibility, 16 (7%) were treated on a genotype-relevant trial targeting a genomic alteration without biomarker selection, and 40 (17%) received a genotype-relevant drug off trial. Challenges to trial accrual included patient preference of noninvestigational treatment or local treatment, poor performance status or other reasons for trial ineligibility, lack of trials/slots, and insurance denial. CONCLUSION Broad implementation of multiplex hotspot testing is feasible; however, only a small portion of patients with actionable alterations were actually enrolled onto genotype-matched trials. Increased awareness of therapeutic implications and access to novel therapeutics are needed to optimally leverage results from broad-based genomic testing.


Modern Pathology | 2014

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

Rashmi Kanagal-Shamanna; Bryce P. Portier; Rajesh R. Singh; Mark Routbort; Kenneth D. Aldape; Brian Handal; Hamed Rahimi; Neelima Reddy; Bedia A. Barkoh; Bal Mukund Mishra; Abhaya Paladugu; Jawad Manekia; Neda Kalhor; Sinchita Roy Chowdhuri; Gregg Staerkel; L. Jeffrey Medeiros; Rajyalakshmi Luthra; Keyur P. Patel

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.


The Journal of Molecular Diagnostics | 2013

Frequency and Spectrum of BRAF Mutations in a Retrospective, Single-Institution Study of 1112 Cases of Melanoma

Wesley O. Greaves; Shalini Verma; Keyur P. Patel; Michael A. Davies; Bedia A. Barkoh; John Galbincea; Hui Yao; Alexander J. Lazar; Kenneth D. Aldape; L. Jeffrey Medeiros; Rajyalakshmi Luthra

The US Food and Drug Administration (FDA) approved vemurafenib to treat patients with metastatic melanoma harboring the BRAF c.1799T>A (p.V600E) mutation. However, a subset of melanomas harbor non-p.V600E BRAF mutations, and these data are of potential importance regarding the efficacy of current targeted therapies. To better understand the BRAF mutation profile in melanomas, we retrospectively analyzed data from 1112 primary and metastatic melanomas at our institution. The cohort included nonacral cutaneous (n = 774), acral (n = 111), mucosal (n = 26), uveal (n = 23), leptomeningeal (n = 1), and metastatic melanomas of unknown primary site (n = 177). BRAF mutation hotspot regions in exons 11 and 15 were analyzed by pyrosequencing or with the primer extension MassARRAY system. A total of 499 (44.9%) specimens exhibited BRAF mutations, involving exon 15 [497 (99.6%)] or exon 11 [2 (0.4%)]. p.V600E was detected in 376 (75.4%) cases; the remaining 123 (24.6%) cases exhibited non-p.V600E mutations, of which p.V600K was most frequent [86 (17.2%)]. BRAF mutations were more frequent in nonacral cutaneous (51.4%) than acral melanomas [18 (16.2%)] (P < 0.001); however, there was no significant difference among cutaneous histological subtypes. All mucosal, uveal, and leptomeningeal melanomas were BRAF wild type (WT). The high frequency of non-p.V600E BRAF mutations in melanoma has important implications because the FDA-approved companion diagnostic test for p.V600E detects some but not all non-p.V600E mutations. However, the therapeutic efficacy of vemurafenib is not well established in these lesions.


American Journal of Clinical Pathology | 2011

Acute myeloid leukemia with IDH1 or IDH2 mutation: frequency and clinicopathologic features.

Keyur P. Patel; Farhad Ravandi; Deqin Ma; Abhaya Paladugu; Bedia A. Barkoh; L. Jeffrey Medeiros; Rajyalakshmi Luthra

Mutations in the isocitrate dehydrogenase 1 (IDH1) and IDH2 genes are reported in acute myeloid leukemia (AML). We studied the frequency and the clinicopathologic features of IDH1 and IDH2 mutations in AML. Mutations in IDH1 (IDH1(R)¹³²) and IDH2 (IDH2(R)¹⁷²) were assessed by Sanger sequencing in 199 AML cases. Point mutations in IDH1(R)¹³² were detected in 12 (6.0%) of 199 cases and in IDH2(R)¹⁷² in 4 (2.0%) of 196 cases. Of the 16 mutated cases, 15 (94%) were cytogenetically normal, for an overall frequency in this group of 11.8%. IDH1(R)¹³² and IDH2(R)¹⁷² mutations were mutually exclusive. Concurrent mutations in NPM1, FLT3, CEBPA, and NRAS were detected only in AML with the IDH1(R)¹³² mutation. The clinical and laboratory variables of patients with AML with IDH mutations showed no significant differences compared with patients with wild-type IDH. We conclude that IDH1(R)¹³² and IDH2(R)¹⁷² mutations occur most often in cytogenetically normal AML cases with an overall frequency of approximately 11.8%.


Haematologica | 2014

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

Rajyalakshmi Luthra; Keyur P. Patel; Neelima Reddy; Varan Haghshenas; Mark Routbort; Michael A. Harmon; Bedia A. Barkoh; Rashmi Kanagal-Shamanna; Farhad Ravandi; Jorge Cortes; Hagop M. Kantarjian; L. Jeffrey Medeiros; Rajesh Singh

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.


Blood | 2014

Atypical chronic myeloid leukemia is clinically distinct from unclassifiable myelodysplastic/myeloproliferative neoplasms

Sa A. Wang; Robert P. Hasserjian; Patricia S. Fox; Heesun J. Rogers; Julia T. Geyer; Devon Chabot-Richards; Elizabeth Weinzierl; Joseph Hatem; Jesse Jaso; Rashmi Kanagal-Shamanna; Francesco C. Stingo; Keyur P. Patel; Meenakshi Mehrotra; Carlos E. Bueso-Ramos; Ken H. Young; Courtney D. DiNardo; Srdan Verstovsek; Ramon V. Tiu; Adam Bagg; Eric D. Hsi; Daniel A. Arber; Kathryn Foucar; Raja Luthra; Attilio Orazi

Atypical chronic myeloid leukemia (aCML) is a rare subtype of myelodysplastic/myeloproliferative neoplasm (MDS/MPN) largely defined morphologically. It is, unclear, however, whether aCML-associated features are distinctive enough to allow its separation from unclassifiable MDS/MPN (MDS/MPN-U). To study these 2 rare entities, 134 patient archives were collected from 7 large medical centers, of which 65 (49%) cases were further classified as aCML and the remaining 69 (51%) as MDS/MPN-U. Distinctively, aCML was associated with many adverse features and an inferior overall survival (12.4 vs 21.8 months, P = .004) and AML-free survival (11.2 vs 18.9 months, P = .003). The aCML defining features of leukocytosis and circulating myeloid precursors, but not dysgranulopoiesis, were independent negative predictors. Other factors, such as lactate dehydrogenase, circulating myeloblasts, platelets, and cytogenetics could further stratify MDS/MPN-U but not aCML patient risks. aCML appeared to have more mutated RAS (7/20 [35%] vs 4/29 [14%]) and less JAK2p.V617F (3/42 [7%] vs 10/52 [19%]), but was not statistically significant. Somatic CSF3R T618I (0/54) and CALR (0/30) mutations were not detected either in aCML or MDS/MPN-U. In conclusion, within MDS/MPN, the World Health Organization 2008 criteria for aCML identify a subgroup of patients with features clearly distinct from MDS/MPN-U. The MDS/MPN-U category is heterogeneous, and patient risk can be further stratified by a number of clinicopathological parameters.


Blood | 2015

Correlation of mutation profile and response in patients with myelofibrosis treated with ruxolitinib

Keyur P. Patel; Kate J. Newberry; Rajyalakshmi Luthra; Elias Jabbour; Sherry Pierce; Jorge Cortes; Rajesh R. Singh; Meenakshi Mehrotra; Mark Routbort; Madan G. Luthra; Taghi Manshouri; Fabio P S Santos; Hagop M. Kantarjian; Srdan Verstovsek

Although most patients with myelofibrosis (MF) derive benefit from ruxolitinib, some are refractory, have a suboptimal response, or quickly lose their response. To identify genes that may predict response to ruxolitinib, we performed targeted next-generation sequencing (NGS) of a panel of 28 genes recurrently mutated in hematologic malignancies in a cohort of patients with MF who were treated with ruxolitinib in a phase 1/2 study. We also tested for CALR deletions by standard polymerase chain reaction methods. Ninety-eight percent of patients had a mutation in ≥1 gene. Seventy-nine (82.1%) patients had the JAK2(V617F) mutation, 9 (9.5%) had CALR mutations (7 type 1, 2 type 2), 3 (3.1%) had MPL mutations, and 4 (4.2%) were negative for all 3. ASXL1/JAK2 and TET2/JAK2 were the most frequently comutated genes. Mutations in NRAS, KRAS, PTPN11, GATA2, TP53, and RUNX1 were found in <5% of patients. Spleen response (≥50% reduction in palpable spleen size) was inversely correlated with the number of mutations; patients with ≤2 mutations had ninefold higher odds of a spleen response than those with ≥3 mutations (odds ratio = 9.37; 95% confidence interval, 1.86-47.2). Patients with ≥3 mutations also had a shorter time to treatment discontinuation and shorter overall survival than those with fewer mutations. In multivariable analysis, only number of mutations and spleen response remained associated with time to treatment discontinuation. Patients with ≥3 mutations had the worst outcomes, suggesting that multigene profiling may be useful for therapeutic planning for MF.


American Journal of Hematology | 2015

Characteristics, clinical outcome, and prognostic significance of IDH mutations in AML

Courtney D. DiNardo; Farhad Ravandi; Sam Agresta; Marina Konopleva; Koichi Takahashi; Tapan Kadia; Mark Routbort; Keyur P. Patel; Mark Brandt; Sherry Pierce; Guillermo Garcia-Manero; Jorge Cortes; Hagop M. Kantarjian

The pathophysiology of IDH mutations in tumorigenesis is increasingly described, yet the prognostic significance of IDH1 and IDH2 mutations in AML remains controversial. The primary objective of this study was to define the natural history and prognosis of patients with AML and IDH1 or IDH2 mutations and provide historical survival expectations. A total of 826 patients treated from 2010 to 2014 at a single institution were evaluated, including 167 patients (20%) with AML and IDH1 or IDH2 mutations. Median age was 62 years (range 18–92). There were 59 IDH1‐R132, 83 IDH2‐R140, and 23 IDH2‐R172 mutations. Clinicopathologic characteristics associated with IDH‐mutations included older age, less frequent therapy‐related status, and increased incidence of intermediate‐risk cytogenetics, FLT3‐ITD mutations, and NPM1 mutations. Remission rates (CR/CRi) by AML treatment status were: induction, 68%; Salvage‐1 (S1), 42%; and Salvage‐2 and beyond (S2+), 27%. No difference in response was identified by IDH mutation status. Similarly, overall survival (OS) was not dependent on IDH status within any cohort. The median OS was 15.4 months in induction, 8.7 months in S1, and 4.8 months in S2+. This analysis defines the clinical outcome associated with IDH‐mutations in both the front‐line and salvage AML treatment settings, and confirms that response rate and OS for both IDH‐mutated and IDH wild‐type AML patients is comparable. This provides contemporary data to be used for comparison with results of novel investigational (e.g., selective IDH inhibitor) strategies. Am. J. Hematol. 90:732–736, 2015.


Cancer Cytopathology | 2015

Factors affecting the success of next‐generation sequencing in cytology specimens

Sinchita Roy-Chowdhuri; Rashmi S. Goswami; Hui Chen; Keyur P. Patel; Mark Routbort; Rajesh Singh; Russell Broaddus; Bedia A. Barkoh; Jawad Manekia; Hui Yao; L. Jeffrey Medeiros; Gregg Staerkel; Rajyalakshmi Luthra; John Stewart

The use of cytology specimens for next‐generation sequencing (NGS) is particularly challenging because of the unconventional substrate of smears and the often limited sample volume. An analysis of factors affecting NGS testing in cytologic samples may help to increase the frequency of successful testing.

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Hagop M. Kantarjian

University of Texas MD Anderson Cancer Center

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Rajyalakshmi Luthra

University of Texas MD Anderson Cancer Center

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Farhad Ravandi

University of Texas MD Anderson Cancer Center

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Guillermo Garcia-Manero

University of Texas MD Anderson Cancer Center

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L. Jeffrey Medeiros

University of Texas MD Anderson Cancer Center

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Jorge Cortes

University of Texas MD Anderson Cancer Center

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Mark Routbort

University of Texas MD Anderson Cancer Center

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Elias Jabbour

University of Texas MD Anderson Cancer Center

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Tapan Kadia

University of Texas MD Anderson Cancer Center

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Gautam Borthakur

University of Texas MD Anderson Cancer Center

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