Reyna Favis
Cornell University
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Featured researches published by Reyna Favis.
Nature Biotechnology | 2000
Reyna Favis; Joseph P. Day; Norman P. Gerry; Catherine Phelan; Steven A. Narod; Francis Barany
Array-based mutation detection methodology typically relies on direct hybridization of the fluorescently labeled query sequence to surface-bound oligonucleotide probes. These probes contain either small sequence variations or perfect-match sequence. The intensity of fluorescence bound to each oligonucleotide probe is intended to reveal which sequence is perfectly complementary to the query sequence. However, these approaches have not always been successful, especially for detection of small frameshift mutations. Here we describe a multiplex assay to detect small insertions and deletions by using a modified PCR to evenly amplify each amplicon (PCR/PCR), followed by ligase detection reaction (LDR). Mutations were identified by screening reaction products with a universal DNA microarray, which uncouples mutation detection from array hybridization and provides for high sensitivity. Using the three BRCA1 and BRCA2 founder mutations in the Ashkenazi Jewish population (BRCA1 185delAG; BRCA1 5382insC; BRCA2 6174delT) as a model system, the assay readily detected these mutations in multiplexed reactions. Our results demonstrate that universal microarray analysis of PCR/PCR/LDR products permits rapid identification of small insertion and deletion mutations in the context of both clinical diagnosis and population studies.
Proceedings of the National Academy of Sciences of the United States of America | 2003
Michael Overholtzer; Pulivarthi H. Rao; Reyna Favis; Xin Yan Lu; Michael B. Elowitz; Francis Barany; Marc Ladanyi; Richard Gorlick; Arnold J. Levine
The p53 gene is a critical tumor suppressor that is inactivated in a majority of cancers. The central role of p53 in response to stresses such as DNA damage, hypoxia, and oncogene activation underlies this high frequency of negative selection during tumorigenic transformation. Mutations in p53 disrupt checkpoint responses to DNA damage and result in the potential for destabilization of the genome. Consistent with this, p53 mutant cells have been shown to accumulate genomic alterations in cell culture, mouse models, and some human tumors. The relationship between p53 mutation and genomic instability in human osteosarcoma is addressed in this report. Similar to some other primary human tumors, the mutation of p53 correlates significantly with the presence of high levels of genomic instability in osteosarcomas. Surprisingly, osteosarcomas harboring an amplification of the HDM2 oncogene, which inhibits the tumor-suppressive properties of p53, do not display high levels of genomic instability. These results demonstrate that the inactivation of p53 in osteosarcomas directly by mutation versus indirectly by HDM2 amplification may have different cellular consequences with respect to the stability of the genome.
Journal of Medical Genetics | 2005
Catherine Phelan; V. Dapic; B. Tice; Reyna Favis; Elaine Kwan; Francis Barany; S. Manoukian; P. Radice; R. B. van der Luijt; B.P.M. van Nesselrooij; Georgia Chenevix-Trench; kConFab; Trinidad Caldés; M de la Hoya; S. Lindquist; Sean V. Tavtigian; David E. Goldgar; Åke Borg; Steven A. Narod; Alvaro Monteiro
Background:BRCA1 is a tumour suppressor with pleiotropic actions. Germline mutations in BRCA1 are responsible for a large proportion of breast–ovarian cancer families. Several missense variants have been identified throughout the gene but because of lack of information about their impact on the function of BRCA1, predictive testing is not always informative. Classification of missense variants into deleterious/high risk or neutral/low clinical significance is essential to identify individuals at risk. Objective: To investigate a panel of missense variants. Methods and results: The panel was investigated in a comprehensive framework that included (1) a functional assay based on transcription activation; (2) segregation analysis and a method of using incomplete pedigree data to calculate the odds of causality; (3) a method based on interspecific sequence variation. It was shown that the transcriptional activation assay could be used as a test to characterise mutations in the carboxy-terminus region of BRCA1 encompassing residues 1396–1863. Thirteen missense variants (H1402Y, L1407P, H1421Y, S1512I, M1628T, M1628V, T1685I, G1706A, T1720A, A1752P, G1788V, V1809F, and W1837R) were specifically investigated. Conclusions: While individual classification schemes for BRCA1 alleles still present limitations, a combination of several methods provides a more powerful way of identifying variants that are causally linked to a high risk of breast and ovarian cancer. The framework presented here brings these variants nearer to clinical applicability.
Oncogene | 2002
Jianmin Huang; Brian W. Kirk; Reyna Favis; Thierry Soussi; Philip B. Paty; Weiguo Cao; Francis Barany
Knowledge of inherited and sporadic mutations in known and candidate cancer genes may influence clinical decisions. We have developed a mutation scanning method that combines thermostable EndonucleaseV (Endo V) and DNA ligase. Variant and wild-type PCR amplicons are generated using fluorescently labeled primers, and heteroduplexed. Thermotoga maritima (Tma) EndoV recognizes and primarily cleaves heteroduplex DNA one base 3′ to the mismatch, as well as nicking matched DNA at low levels. Thermus species (Tsp.) AK16D DNA ligase reseals the background nicks to create a highly sensitive and specific assay. The fragment mobility on a DNA sequencing gel reveals the approximate position of the mutation. This method identified 31/35 and 8/8 unique point mutations and insertions/deletions, respectively, in the p53, VHL, K-ras, APC, BRCA1, and BRCA2 genes. The method has the sensitivity to detect K-ras mutations diluted 1 : 20 with wild-type DNA, a p53 mutation in a 1.7 kb amplicon, and unknown p53 mutations in pooled DNA samples. EndoV/Ligase mutation scanning combined with PCR/LDR/Universal array proved superior to automated DNA sequencing for detecting p53 mutations in colon tumors. This technique is well suited for scanning low-frequency mutations in pooled samples and for analysing tumor DNA containing a minority of the unknown mutation.
Annals of the New York Academy of Sciences | 2006
Reyna Favis; Francis Barany
Abstract: We have developed a multiplex PCR/ligase detection reaction (PCR/LDR) that combines high sensitivity with the ability to simultaneously detect hundreds of mutations in a single‐tube reaction. To enable us to rapidly assay large numbers of samples, we have linked this mutation detection scheme with analysis on a Universal DNA microarray. We have successfully applied this approach to characterize K‐ras and p53 mutations in DNA derived from undissected colon tumors. The sensitivity of the assay has also facilitated detection of low‐frequency mutations in BRCA1 and BRCA2 in pooled samples of DNA; thus, PCR/LDR can rapidly screen large numbers of DNA samples required for population studies.
Clinical Cancer Research | 2004
Coralie Fouquet; Martine Antoine; Pascaline Tisserand; Reyna Favis; Marie Wislez; Frederic Commo; Nathalie Rabbe; Bernard Milleron; Francis Barany; Jacques Cadranel; G. Zalcman; Thierry Soussi
Purpose: Molecular profiling of alterations associated with lung cancer holds the promise to define clinical parameters such as response to treatment or survival. Because <5% of small cell lung cancers and <30% of non-small cell lung cancers are surgically resectable, molecular analysis will perforce rely on routinely available clinical samples such as biopsies. Identifying tumor mutations in such samples will require a sensitive and robust technology to overcome signal from excess amounts of normal DNA. Experimental Design: p53 mutation status was assessed from the DNA and RNA of biopsies collected prospectively from 83 patients with lung cancer. Biopsies were obtained either by conventional bronchoscopy or computed tomography-guided percutaneous biopsy. Matched surgical specimens were available for 22 patients. Three assays were used: direct sequencing; a functional assay in yeast; and a newly developed PCR/ligase detection reaction/Universal DNA array assay. Results: Using the functional assay, p53 mutation was found in 62% of biopsies and 64% of surgical specimens with a concordance of 80%. The sensitivity of the functional assay was determined to be 5%. Direct sequencing confirmed mutations in 92% of surgical specimens but in only 78% of biopsies. The DNA array confirmed 100% of mutations in both biopsies and surgical specimens. Using this newly developed DNA array, we demonstrate the feasibility of directly identifying p53 mutations in clinical samples containing <5% of tumor cells. Conclusions: The versatility and sensitivity of this new array assay should allow additional development of mutation profiling arrays that could be applied to biological samples with a low tumor cell content such as bronchial aspirates, bronchoalveolar lavage fluid, or serum.
Methods in molecular medicine | 2005
Reyna Favis; Norman P. Gerry; Yu-Wei Cheng; Francis Barany
Integration of molecular medicine into standard clinical practice will require the availability of diagnostics that are sensitive, rapid, and robust. The backbone technology underlying the diagnostic will likely serve double duty during clinical trials in order to first validate the biomarkers that contribute to both drug response and disease stratification. PCR/LDR/Universal DNA microarray is a promising technology to help drive the transition from the current paradigms of clinical decision making to the new era of personalized medicine. By uncoupling the mutation detection step from array hybridization, this technology becomes fully programmable. It exploits full use of the sensitivity that the ligase detection reaction can provide, while maintaining a rapid read out on a universal microarray. Thus, PCR/LDR/Universal DNA microarray is 50-fold more sensitive and 10-fold more rapid than conventional hybridization-only arrays. The intent of this article is to provide investigators with a perspective on current uses of this approach, as well as to serve as a practical guide to implementation.
Journal of the National Cancer Institute | 2001
Seung Myung Dong; Giovanni Traverso; Constance M. Johnson; Li Geng; Reyna Favis; Kevin A. Boynton; Kenji Hibi; Steven N. Goodman; Matthew D'Allessio; Philip B. Paty; Stanley R. Hamilton; David Sidransky; Francis Barany; Bernard Levin; Anthony P. Shuber; Kenneth W. Kinzler; Bert Vogelstein; Jin Jen
Nucleic Acids Research | 2002
Brian W. Kirk; Matthew Feinsod; Reyna Favis; Richard M. Kliman; Francis Barany
Archive | 2001
Francis Barany; Monib Zirvi; Norman P. Gerry; Reyna Favis; Richard Kliman