Evidence map›Paper›PMID 12938148›Full record

Trial reportJournal of clinical laboratory analysis2003

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 Juhasz, Paul Frankel, Catherine Cheng, Hector Rivera, Reena Vishwanath, Alice Chiu, Kim Margolin, Yun Yen, Edward M Newman, Tim Synold and 6 more

Abstract readClinical TrialClinical Trial, Phase IIComparative Study
In one paragraph

Trial report in Journal of clinical laboratory analysis, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 24% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Emodin affects ERCC1 expression in breast cancer cells.Journal of translational medicine · 2012
    Article
  3. Systemic delivery of siRNA nanoparticles targeting RRM2 suppresses head and neck tumor growth.Journal of controlled release : official journal of the Controlled Release Society · 2012
    Article
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors at 7 institutions in 1 country.

Agnes JuhaszDepartment of Medical Oncology, City of Hope Comprehensive Cancer Center, Duarte, California 91010, USA. ajuhasz@coh.org
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
City Of Hope National Medical Center · USCornell University · USLoyola University Chicago · USSouthern California University for Professional Studies · USStanford University · USUniversity of California, Berkeley · USUniversity of California, Davis · US

Funding

PHASE I MOLECULAR AND CLINICAL PHARMACODYNAMIC TRIALSU01CA062505 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI NEWMAN, EDWARD M · 1994 to 2013
$8.1M
NCI NIH HHS CA62505NCI NIH HHS U01 CA062505
6 · The paper itself

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.

Indexed as

DNA-Binding ProteinsEndonucleasesAlgorithmsAntineoplastic Combined Chemotherapy ProtocolsBiopsyBreastBreast NeoplasmsCisplatinDCMP DeaminaseDeoxycytidineDeoxycytidine KinaseDNA, ComplementaryFemaleGemcitabineGene Expression Regulation, NeoplasticHumansCisplatinDCMP DeaminaseDeoxycytidineDeoxycytidine KinaseDNA-Binding ProteinsDNA, ComplementaryEndonucleasesERCC1 protein, humanGemcitabineProteinsRibonucleoside Diphosphate Reductaseribonucleotide reductase M2RNA, MessengerRRM1 protein, humanTumor Suppressor Proteins

Identifiers

PMID12938148
PMCPMC6808165
OpenAlexW2038036999

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.