Literature DB >> 12938148

Quantification of chemotherapeutic target gene mRNA expression in human breast cancer biopsies: comparison of real-time reverse transcription-PCR vs. relative quantification reverse transcription-PCR utilizing DNA sequencer analysis of PCR products.

Agnes Juhasz1, Paul Frankel, Catherine Cheng, Hector Rivera, Reena Vishwanath, Alice Chiu, Kim Margolin, Yun Yen, Edward M Newman, Tim Synold, Sharon Wilczynski, Heinz-Josef Lenz, David Gandara, Kathy S Albain, Jeffrey Longmate, James H Doroshow.   

Abstract

The solid tumor mRNA expression of genes related to the mechanism of action of certain antineoplastic agents is often predictive of clinical efficacy. We report here on the development of a rapid and practical real-time RT-PCR method to quantify genetic expression in solid tumors. The genes examined are related to the intracellular pharmacology of gemcitabine and cisplatin, two drugs that are used in the treatment of several types of advanced cancer. We evaluated target gene mRNA levels from breast tumor samples using two quantitative RT-PCR methods: 1) an improved relative RT-PCR method using fluorescence-labeled primers, automated PCR set up, and GeneScan analysis software; and 2) real-time RT-PCR with redesigned primers using an ABI 7900HT instrument, with additional postprocessing of the data to adjust for efficiency differences across the target genes. Using these methods, we quantified mRNA expression levels of deoxycytidine kinase (dCK), deoxycytidylate deaminase (dCDA), the M1 and M2 subunits of ribonucleotide reductase (RRM1, RRM2), and excision cross complementation group 1 (ERCC1) in 35 human "fresh" frozen breast cancer biopsies. While both assay methods were substantially more rapid than traditional RT-PCR, real-time RT-PCR appeared to be superior to the amplification end-point measurement in terms of precision and high throughput, even when a DNA sequencer was used to assess fluorescence-labeled PCR products. This reproducible, highly sensitive real-time RT-PCR method for the detection and quantification of the mRNAs for dCK, dCDA, RRM1, RRM2, and ERCC1 in human breast cancer biopsies appears to be more informative and less time-consuming than either classical radioisotope-dependent RT-PCR or the technique utilizing GeneScan analysis described herein. By allowing the measurement of intratumoral target gene expression, these new methods may prove useful in predicting the clinical utility of gemcitabine- and platinum-containing chemotherapy programs in patients with solid tumors. Copyright 2003 Wiley-Liss, Inc.

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Year:  2003        PMID: 12938148      PMCID: PMC6808165          DOI: 10.1002/jcla.10091

Source DB:  PubMed          Journal:  J Clin Lab Anal        ISSN: 0887-8013            Impact factor:   2.352


  35 in total

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Authors:  J B de Kok; T J Ruers; G N van Muijen; A van Bokhoven; H L Willems; D W Swinkels
Journal:  Clin Chem       Date:  2000-03       Impact factor: 8.327

2.  Quantitation of thymidylate synthase, dihydrofolate reductase, and DT-diaphorase gene expression in human tumors using the polymerase chain reaction.

Authors:  T Horikoshi; K D Danenberg; T H Stadlbauer; M Volkenandt; L C Shea; K Aigner; B Gustavsson; L Leichman; R Frösing; M Ray
Journal:  Cancer Res       Date:  1992-01-01       Impact factor: 12.701

3.  Reverse transcription-polymerase chain reaction-based methodology to quantify differential gene expression directly from microdissected regions of frozen tissue sections.

Authors:  P M Fernandez; L J Pluta; R Fransson-Steen; T L Goldsworthy; T R Fox
Journal:  Mol Carcinog       Date:  1997-11       Impact factor: 4.784

4.  A polymorphism of the XRCC1 gene predicts for response to platinum based treatment in advanced colorectal cancer.

Authors:  J Stoehlmacher; V Ghaderi; S Iobal; S Groshen; D Tsao-Wei; D Park; H J Lenz
Journal:  Anticancer Res       Date:  2001 Jul-Aug       Impact factor: 2.480

5.  Statistical methods for assessing agreement between two methods of clinical measurement.

Authors:  J M Bland; D G Altman
Journal:  Lancet       Date:  1986-02-08       Impact factor: 79.321

Review 6.  Promising new agents in the treatment of non-small cell lung cancer.

Authors:  M J Edelman; D R Gandara
Journal:  Cancer Chemother Pharmacol       Date:  1996       Impact factor: 3.333

7.  CpG island hypermethylation in human colorectal tumors is not associated with DNA methyltransferase overexpression.

Authors:  C A Eads; K D Danenberg; K Kawakami; L B Saltz; P V Danenberg; P W Laird
Journal:  Cancer Res       Date:  1999-05-15       Impact factor: 12.701

8.  Quantitation of intratumoral thymidylate synthase expression predicts for disseminated colorectal cancer response and resistance to protracted-infusion fluorouracil and weekly leucovorin.

Authors:  C G Leichman; H J Lenz; L Leichman; K Danenberg; J Baranda; S Groshen; W Boswell; R Metzger; M Tan; P V Danenberg
Journal:  J Clin Oncol       Date:  1997-10       Impact factor: 44.544

9.  Cellular elimination of 2',2'-difluorodeoxycytidine 5'-triphosphate: a mechanism of self-potentiation.

Authors:  V Heinemann; Y Z Xu; S Chubb; A Sen; L W Hertel; G B Grindey; W Plunkett
Journal:  Cancer Res       Date:  1992-02-01       Impact factor: 12.701

10.  Induction of resistance to 2',2'-difluorodeoxycytidine in the human ovarian cancer cell line A2780.

Authors:  V W Ruiz van Haperen; G Veerman; S Eriksson; A P Stegmann; G J Peters
Journal:  Semin Oncol       Date:  1995-08       Impact factor: 4.929

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  3 in total

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Authors:  Yoshiyuki Kojima; Shoichi Sasaki; Yutaro Hayashi; Gozoh Tsujimoto; Kenjiro Kohri
Journal:  Nat Clin Pract Urol       Date:  2009-01

2.  Systemic delivery of siRNA nanoparticles targeting RRM2 suppresses head and neck tumor growth.

Authors:  Mohammad Aminur Rahman; A R M Ruhul Amin; Xu Wang; Jonathan E Zuckerman; Chung Hang J Choi; Bingsen Zhou; Dongsheng Wang; Sreenivas Nannapaneni; Lydia Koenig; Zhengjia Chen; Zhuo Georgia Chen; Yun Yen; Mark E Davis; Dong M Shin
Journal:  J Control Release       Date:  2012-02-08       Impact factor: 9.776

3.  Emodin affects ERCC1 expression in breast cancer cells.

Authors:  Jian-min Fu; Jie Zhou; Jian Shi; Jian-sheng Xie; Li Huang; Adrian Y S Yip; Wings T Y Loo; Louis W C Chow; Elizabeth L Y Ng
Journal:  J Transl Med       Date:  2012-09-19       Impact factor: 5.531

  3 in total

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