A platform for rapid detection of multiple oncogenic mutations with relevance to targeted therapy in non-small-cell lung cancer - PubMed (original) (raw)

A platform for rapid detection of multiple oncogenic mutations with relevance to targeted therapy in non-small-cell lung cancer

Zengliu Su et al. J Mol Diagn. 2011 Jan.

Abstract

The identification of somatically acquired tumor mutations is increasingly important in the clinical management of cancer because the sensitivity of targeted drugs is related to the genetic makeup of individual tumors. Thus, mutational profiles of tumors can help prioritize anticancer therapy. We report herein the development and validation of two multiplexed assays designed to detect in DNA from FFPE tissue more than 40 recurrent mutations in nine genes relevant to existing and emerging targeted therapies in lung cancer. The platform involves two methods: a screen (SNaPshot) based on multiplex PCR, primer extension, and capillary electrophoresis that was designed to assess for 38 somatic mutations in eight genes (AKT1, BRAF, EGFR, KRAS, MEK1, NRAS, PIK3CA, and PTEN) and a PCR-based sizing assay that assesses for EGFR exon 19 deletions, EGFR exon 20 insertions, and HER2 exon 20 insertions. Both the SNaPshot and sizing assays can be performed rapidly, with minimal amounts of genetic material. Compared with direct sequencing, in which mutant DNA needs to compose 25% or more of the total DNA to easily detect a mutation, the SNaPshot and sizing assays can detect mutations in samples in which mutant DNA composes 1.56% to 12.5% and 1.56% to 6.25% of the total DNA, respectively. These robust, reliable, and relatively inexpensive assays should help accelerate adoption of a genotype-driven approach in the treatment of lung cancer.

Copyright © 2011 American Society for Investigative Pathology and the Association for Molecular Pathology. Published by Elsevier Inc. All rights reserved.

PubMed Disclaimer

Figures

Figure 1

Figure 1

Lung cancer SNaPShot screen (v1.0). A: Human genomic DNA was used as a wild-type control for the multiplex SNaPShot screen, which consists of five panels. Each peak represents a locus where a driver mutation may occur. The name of each gene and the name and position of the amino acid are labeled on the top of each peak. The number under the gene name is the nucleotide position. R designates use of an extension primer encoding the reverse (complementary) strand. B: Pan-positive controls for the SNaPshot screen. Spiking primers were used to display all positive peaks in each locus. C: Sensitivity measurement with cell lines. DNAs from cell lines carrying the known mutations were diluted with human genomic DNA in ratios of 100%, 25% (data not shown), 12.5%, 6.25%, 3.125%, 1.56%, and 0% (wild-type control). Mixtures were then used to perform the SNaPShot screen. Numbers indicate the arbitrary fluorescence units (fu) of wild-type (above) and mutant (underneath) peaks separately. Solid arrows show mutant peaks; and dotted arrows, background peaks. The y axis was adjusted to the appropriate scale to visualize various peaks. Based on previously established criteria, the following rules were used to call a mutation: i) A mutation is called confidently if the mutant peak height is 10% or greater of the corresponding wild-type peak [eg, 12.5% dilution of the H460 cell line, as follows: (2480/15,983)×100 = 15.5%]. ii) If the potential mutant peak is less than 10%, the cutoff value [eg, 1.56% dilution of the H460 cell line, as follows: (330/15,572)×100 = 2.1%], a background peak of the same color and size (dotted arrow) in a separate wild-type DNA control (0%) is used as a reference. If the potential mutant peak height is three times or more than the background peak (330/41 = 8.0, >3), a mutation is called positive (see text for further details). *A background peak of the same color but not the same size as a mutant peak. D: Sensitivity measurements with FFPE-derived DNAs. The FFPE-derived DNA from a patient sample containing approximately 70% tumor cells was diluted with FFPE-derived DNA from a patient's normal tissue [ie, 1:1, 1:2, 1:4, 1:8, 1:16, 1:32, and 1:64 corresponded to samples with 70% tumor cells, 35% (data not shown), 17.5% (data not shown), 8.75%, 4.38%, 2.19%, and 1.09%, respectively]; 0% tumor cells (with 100% normal cells) were also analyzed. Numbers indicate the arbitrary fluorescence units (fu) of wild-type (above) and mutant (underneath) peaks separately. Solid arrows show mutant peaks; and dotted arrow, the background peak. The y axis was adjusted to the appropriate scale to visualize various peaks. Asterisks mark background peaks of the same size but not the same color as a mutant peak.

Figure 2

Figure 2

Lung cancer triplex sizing assay. The triplex sizing assay was established to detect simultaneously EGFR exon 19 deletions, EGFR exon 20 insertions, and HER2 20 insertions. A: Examples of results with known positive controls. 1, human genomic DNA was used as a wild-type control (peaks are indicated by dashed lines); 2, H1650 cell line DNA showed a 15-nucleotide deletion in EGFR exon 19 (arrow); 3, DNA from a previously characterized lung adenocarcinoma sample showed a three-nucleotide insertion in EGFR exon 20 (arrow); 4, H1781 cell line DNA showed a homozygous three-nucleotide insertion in HER2 exon 20 (arrow). B: Sensitivity assays. Samples carrying the known mutations were diluted with human genomic DNA in ratios of 100%, 25%, 12.5%, 6.25%, 3.125%, 1.56%, and 0%. Mixtures were then used to perform the sizing assay. The arrows indicate the mutation peaks at the lowest dilution rate.

Figure 3

Figure 3

The SNaPshot and sizing assays results confirmed by forward and reverse direct sequencing. Arrows show the positions of mutations. The y axis of the SNaPshot assay involves arbitrary fluorescence units and was adjusted to an appropriate scale for observation of mutant peaks in each panel. Only representative examples are shown; remaining data are not shown.

Figure 4

Figure 4

SNaPshot and sizing assays are more sensitive than direct sequencing. Mutations were detected in two samples by SNaPshot and sizing assays, but the calls were only equivocally positive by direct sequencing, consistent with the notion that SNaPshot assays are more sensitive than direct sequencing. An asterisk marks a background peak; no mutant allele exists that will show this position and color (panel V of Figures 1B and Supplemental Figure S1E at

http://jmd.amjpathol.org

). Arrows indicate mutant peaks.

References

    1. Jemal A.J., Siegel R., Ward E., Hao Y., Xu J., Thun M.J. Cancer statistics, 2009. CA Cancer J Clin. 2009;59:225–249. - PubMed
    1. Mitsudomi T., Morita S., Yatabe Y., Negoro S., Okamoto I., Tsurutani J., Seto T., Satouchi M., Tada H., Hirashima T., Asami K., Katakami N., Takada M., Yoshioka H., Shibata K., Kudoh S., Shimizu E., Saito H., Toyooka S., Nakagawa K., Fukuoka M. West Japan Oncology Group: Gefitinib versus cisplatin plus docetaxel in patients with non-small-cell lung cancer harbouring mutations of the epidermal growth factor receptor (WJTOG3405): an open label, randomised phase 3 trial. Lancet Oncol. 2009;11:121–128. - PubMed
    1. Marks J.L., Gong Y.X., Chitale D., Golas B., McLellan M.D., Kasai Y., Ding L., Mardis E.R., Wilson R.K., Solit D., Levine R., Michel K., Thomas R.K., Rusch V.W., Ladanyi M., Pao W. Novel MEK1 mutation identified by mutational analysis of epidermal growth factor receptor signaling pathway genes in lung adenocarcinoma. Cancer Res. 2008;68:5524–5528. - PMC - PubMed
    1. Pratilas C.A., Hanrahan A.J., Halilovic E., Persaud Y., Soh J., Chitale D., Shigematsu H., Yamamoto H., Sawai A., Janakiraman M., Taylor B.S., Pao W., Toyooka S., Ladanyi M., Gazdar A., Rosen N., Solit D.B. Genetic predictors of MEK dependence in non-small cell lung cancer. Cancer Res. 2008;68:9375–9383. - PMC - PubMed
    1. Mok T.S., Wu Y.L., Thongprasert S., Yang C.H., Chu D.T., Saijo N., Sunpaweravong P., Han B., Margono B., Ichinose Y., Nishiwaki Y., Ohe Y., Yang J.J., Chewaskulyong B., Jiang H., Duffield E.L., Watkins C.L., Armour A.A., Fukuoka M. Gefitinib or carboplatin-paclitaxel in pulmonary adenocarcinoma. N Engl J Med. 2009;361:947–957. - PubMed

Publication types

MeSH terms

Substances

Grants and funding

LinkOut - more resources