Literature DB >> 16129846

Breast cancer prognosis determined by gene expression profiling: a quantitative reverse transcriptase polymerase chain reaction study.

E Espinosa1, J A Fresno Vara, A Redondo, J J Sánchez, D Hardisson, P Zamora, F Gómez Pastrana, P Cejas, B Martínez, A Suárez, F Calero, M González Barón.   

Abstract

PURPOSE: We sought to reproduce with quantitative reverse-transcriptase polymerase chain reaction (qRT-PCR) the results obtained with a 70-gene expression profile that has been described previously in breast cancer. PATIENTS AND METHODS: Frozen breast cancer samples from patients who were operated on were used to isolate tumor RNA. Ninety-six patients with stage I to II disease were included. Median age was 57 years (range, 27 to 80 years). Forty-eight patients had lymph node-negative and 48 lymph node-positive disease. qRT-PCR amplifications were performed and the results were correlated with clinical data.
RESULTS: After a minimum follow-up of 5 years, 25 patients had a relapse. The gene profile divided patients into two groups with poor and good prognosis. Significant differences with regard to grade of differentiation, size and hormone receptors were seen between the two groups. The gene profile was significantly associated with relapse-free survival and overall survival in the whole group of 96 patients. Multivariate analysis showed that only lymph node status and gene profile were significantly correlated to overall survival.
CONCLUSION: qRT-PCR reproduced the results obtained with microarrays for a prognostic gene profile in women with early-stage breast cancer.

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Year:  2005        PMID: 16129846     DOI: 10.1200/JCO.2005.01.4746

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  16 in total

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Authors:  Miguel Martín
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2.  Gene expression profiling in breast cancer.

Authors:  Belisario A Arango; Celine L Rivera; Stefan Glück
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3.  Early developments in gene-expression profiling of breast tumors: potential for increasing black-white patient disparities in breast cancer outcomes?

Authors:  Donna H Odierna; Aimee Afable-Munsuz; Ogechi Ikediobi; Mary Beattie; Sara Knight; Michelle Ko; Adrienne Wilson; Ninez A Ponce
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4.  International Agency for Research on Cancer workshop on 'Expression array analyses in breast cancer taxonomy'.

Authors:  Sean V Tavtigian; Marco A Pierotti; Anne-Lise Børresen-Dale
Journal:  Breast Cancer Res       Date:  2006       Impact factor: 6.466

5.  An 8-gene qRT-PCR-based gene expression score that has prognostic value in early breast cancer.

Authors:  Iker Sánchez-Navarro; Angelo Gámez-Pozo; Alvaro Pinto; David Hardisson; Rosario Madero; Rocío López; Belén San José; Pilar Zamora; Andrés Redondo; Jaime Feliu; Paloma Cejas; Manuel González Barón; Juan Angel Fresno Vara; Enrique Espinosa
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6.  Fluopsin C induces oncosis of human breast adenocarcinoma cells.

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Authors:  Nancy L Guo; Ying-Wooi Wan; Kursad Tosun; Hong Lin; Zola Msiska; Daniel C Flynn; Scot C Remick; Val Vallyathan; Afshin Dowlati; Xianglin Shi; Vincent Castranova; David G Beer; Yong Qian
Journal:  Clin Cancer Res       Date:  2008-12-15       Impact factor: 12.531

8.  Prediction and interpretation of cancer survival using graph convolution neural networks.

Authors:  Ricardo Ramirez; Yu-Chiao Chiu; SongYao Zhang; Joshua Ramirez; Yidong Chen; Yufei Huang; Yu-Fang Jin
Journal:  Methods       Date:  2021-01-21       Impact factor: 4.647

Review 9.  Recent advances in systemic therapy: new diagnostics and biological predictors of outcome in early breast cancer.

Authors:  Catherine Oakman; Silvia Bessi; Elena Zafarana; Francesca Galardi; Laura Biganzoli; Angelo Di Leo
Journal:  Breast Cancer Res       Date:  2009-04-03       Impact factor: 6.466

10.  Comparison of prognostic gene profiles using qRT-PCR in paraffin samples: a retrospective study in patients with early breast cancer.

Authors:  Enrique Espinosa; Iker Sánchez-Navarro; Angelo Gámez-Pozo; Alvaro Pinto Marin; David Hardisson; Rosario Madero; Andrés Redondo; Pilar Zamora; Belén San José Valiente; Marta Mendiola; Manuel González Barón; Juan Angel Fresno Vara
Journal:  PLoS One       Date:  2009-06-15       Impact factor: 3.240

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