Jin Li1, Pasi A Jänne, G Mike Makrigiorgos. 1. Department of Radiation Oncology, Dana-Farber/Brigham and Women's Cancer Center, Harvard Medical School, Boston, MA, USA.
Abstract
BACKGROUND: The presence of the EGFR (epidermal growth factor receptor) T790M mutation in tumor tissue or body fluids from patients treated with EGFR tyrosine kinase inhibitors may indicate the onset of resistance to treatment. It is important to identify this mutation as early as possible so that treatment can be modified accordingly or potential side effects of further treatment can be avoided. This requirement calls for high detection sensitivity. Peptide nucleic acids (PNAs) are used as PCR clamps to inhibit amplification of wild-type DNA during PCR cycling, thereby enriching for rare mutations such as T790M. We describe a modification that improves the detection limit of PNA-clamp methods by at least 20-fold. METHODS: We enriched the target by exposing genomic DNA to an EGFR exon 20-specific biotinylated oligonucleotide, followed by binding to streptavidin beads. We then prepared serial dilutions of the isolated target DNA containing the T790M mutation by mixing with wild-type DNA and then performed PNA clamp-based, real-time TaqMan PCR. For comparison, we performed PNA clamp-based PCR directly on genomic DNA. RESULTS: Whereas the detection limit for PNA clamp-based PCR performed directly on genomic DNA is 1 mutant allele in 1000 wild-type alleles, conducting the assay with biotinylated oligonucleotide-enriched target DNA improved the detection limit to 1 mutant allele in 40,000 wild-type alleles. A possible explanation for the improvement in detection is that biotin-based target isolation efficiently eliminates wild-type DNA; therefore, fewer erroneous amplifications of wild-type DNA can occur early during the PCR. CONCLUSIONS: Combining target molecule isolation via a biotinylated probe with PNA-enriched TaqMan real-time PCR provides a major improvement for detecting the EGFR T790M resistance mutation.
BACKGROUND: The presence of the EGFR (epidermal growth factor receptor) T790M mutation in tumor tissue or body fluids from patients treated with EGFR tyrosine kinase inhibitors may indicate the onset of resistance to treatment. It is important to identify this mutation as early as possible so that treatment can be modified accordingly or potential side effects of further treatment can be avoided. This requirement calls for high detection sensitivity. Peptide nucleic acids (PNAs) are used as PCR clamps to inhibit amplification of wild-type DNA during PCR cycling, thereby enriching for rare mutations such as T790M. We describe a modification that improves the detection limit of PNA-clamp methods by at least 20-fold. METHODS: We enriched the target by exposing genomic DNA to an EGFR exon 20-specific biotinylated oligonucleotide, followed by binding to streptavidin beads. We then prepared serial dilutions of the isolated target DNA containing the T790M mutation by mixing with wild-type DNA and then performed PNA clamp-based, real-time TaqMan PCR. For comparison, we performed PNA clamp-based PCR directly on genomic DNA. RESULTS: Whereas the detection limit for PNA clamp-based PCR performed directly on genomic DNA is 1 mutant allele in 1000 wild-type alleles, conducting the assay with biotinylated oligonucleotide-enriched target DNA improved the detection limit to 1 mutant allele in 40,000 wild-type alleles. A possible explanation for the improvement in detection is that biotin-based target isolation efficiently eliminates wild-type DNA; therefore, fewer erroneous amplifications of wild-type DNA can occur early during the PCR. CONCLUSIONS: Combining target molecule isolation via a biotinylated probe with PNA-enriched TaqMan real-time PCR provides a major improvement for detecting the EGFRT790M resistance mutation.
Authors: Roman K Thomas; Elizabeth Nickerson; Jan F Simons; Pasi A Jänne; Torstein Tengs; Yuki Yuza; Levi A Garraway; Thomas LaFramboise; Jeffrey C Lee; Kinjal Shah; Keith O'Neill; Hidefumi Sasaki; Neal Lindeman; Kwok-Kin Wong; Ana M Borras; Edward J Gutmann; Konstantin H Dragnev; Ralph DeBiasi; Tzu-Hsiu Chen; Karen A Glatt; Heidi Greulich; Brian Desany; Christine K Lubeski; William Brockman; Pablo Alvarez; Stephen K Hutchison; J H Leamon; Michael T Ronan; Gregory S Turenchalk; Michael Egholm; William R Sellers; Jonathan M Rothberg; Matthew Meyerson Journal: Nat Med Date: 2006-06-25 Impact factor: 53.440
Authors: Susumu Kobayashi; Titus J Boggon; Tajhal Dayaram; Pasi A Jänne; Olivier Kocher; Matthew Meyerson; Bruce E Johnson; Michael J Eck; Daniel G Tenen; Balázs Halmos Journal: N Engl J Med Date: 2005-02-24 Impact factor: 91.245
Authors: Jeffrey A Engelman; Toru Mukohara; Kreshnik Zejnullahu; Eugene Lifshits; Ana M Borrás; Christopher-Michael Gale; George N Naumov; Beow Y Yeap; Emily Jarrell; Jason Sun; Sean Tracy; Xiaojun Zhao; John V Heymach; Bruce E Johnson; Lewis C Cantley; Pasi A Jänne Journal: J Clin Invest Date: 2006-08-10 Impact factor: 14.808
Authors: Jason H Bielas; Keith R Loeb; Brian P Rubin; Lawrence D True; Lawrence A Loeb Journal: Proc Natl Acad Sci U S A Date: 2006-11-15 Impact factor: 11.205
Authors: Danan Li; Takeshi Shimamura; Hongbin Ji; Liang Chen; Henry J Haringsma; Kate McNamara; Mei-Chih Liang; Samanthi A Perera; Sara Zaghlul; Christa L Borgman; Shigeto Kubo; Masaya Takahashi; Yanping Sun; Lucian R Chirieac; Robert F Padera; Neal I Lindeman; Pasi A Jänne; Roman K Thomas; Matthew L Meyerson; Michael J Eck; Jeffrey A Engelman; Geoffrey I Shapiro; Kwok-Kin Wong Journal: Cancer Cell Date: 2007-07 Impact factor: 31.743
Authors: Haris Vikis; Mitsuo Sato; Michael James; Daolong Wang; Yian Wang; Min Wang; Dongmei Jia; Yan Liu; Joan E Bailey-Wilson; Christopher I Amos; Susan M Pinney; Gloria M Petersen; Mariza de Andrade; Ping Yang; Jonathan S Wiest; Pamela R Fain; Ann G Schwartz; Adi Gazdar; Colette Gaba; Henry Rothschild; Diptasri Mandal; Elena Kupert; Daniela Seminara; Avinash Viswanathan; Ramaswamy Govindan; John Minna; Marshall W Anderson; Ming You Journal: Cancer Res Date: 2007-05-15 Impact factor: 12.701
Authors: William Pao; Vincent A Miller; Katerina A Politi; Gregory J Riely; Romel Somwar; Maureen F Zakowski; Mark G Kris; Harold Varmus Journal: PLoS Med Date: 2005-02-22 Impact factor: 11.069