Literature DB >> 15235906

Gene expression patterns as marker for 5-year postoperative prognosis of primary breast cancers.

Masamitsu Onda1, Mitsuru Emi, Hisaki Nagai, Takemitsu Nagahata, Kouji Tsumagari, Takashi Fujimoto, Futoshi Akiyama, Goi Sakamoto, Masujirou Makita, Fujio Kasumi, Yoshio Miki, Toshihiro Tanaka, Tatsuhiko Tsunoda, Yusuke Nakamura.   

Abstract

PURPOSE: To establish the novel prognostic markers for breast cancer, gene expression profile was examined genome-wide.
METHODS: We used cDNA microarray consisting of 18,432 human genes to compare genome-wide expression profiles of eight primary breast cancers, four from patients who died of breast cancer within 5 years after surgery (5D group) and four who survived disease-free for more than 5 years (5S group).
RESULTS: We identified 21 genes whose expression was greater in tumors from the 5D group than in 5S tumors, and 23 with higher expression in the 5S group than in the 5D group. We established a Prognostic Index (PI) for prediction of postoperative prognosis, based on the aberrant expression profiles of ten of those genes. Among 20 additional cases chosen blindly, ten presented with high prognostic scores (>7, good) according to the PI; the remaining ten cases revealed scores <7 (poor). The PI predicted the actual 5-year clinical outcomes of these 20 cases with 100% accuracy.
CONCLUSION: Our PI system is reliable in clinical settings for predicting postoperative risk for breast cancer. The extensive list of genes provides valuable information about progression of breast cancer and suggests potential target molecules for treating this disease.

Entities:  

Mesh:

Substances:

Year:  2004        PMID: 15235906     DOI: 10.1007/s00432-004-0574-7

Source DB:  PubMed          Journal:  J Cancer Res Clin Oncol        ISSN: 0171-5216            Impact factor:   4.553


  23 in total

1.  Prognostic value of TP53 gene mutation in adjuvant treated breast cancer patients.

Authors:  B L Powell; S Bydder; F Grieu; G Gnanasampanthan; H Elsaleh; R Seshadri; E M Berns; B Iacopetta
Journal:  Breast Cancer Res Treat       Date:  2001-09       Impact factor: 4.872

2.  A physical map of the human genome.

Authors:  J D McPherson; M Marra; L Hillier; R H Waterston; A Chinwalla; J Wallis; M Sekhon; K Wylie; E R Mardis; R K Wilson; R Fulton; T A Kucaba; C Wagner-McPherson; W B Barbazuk; S G Gregory; S J Humphray; L French; R S Evans; G Bethel; A Whittaker; J L Holden; O T McCann; A Dunham; C Soderlund; C E Scott; D R Bentley; G Schuler; H C Chen; W Jang; E D Green; J R Idol; V V Maduro; K T Montgomery; E Lee; A Miller; S Emerling; R Gibbs; S Scherer; J H Gorrell; E Sodergren; K Clerc-Blankenburg; P Tabor; S Naylor; D Garcia; P J de Jong; J J Catanese; N Nowak; K Osoegawa; S Qin; L Rowen; A Madan; M Dors; L Hood; B Trask; C Friedman; H Massa; V G Cheung; I R Kirsch; T Reid; R Yonescu; J Weissenbach; T Bruls; R Heilig; E Branscomb; A Olsen; N Doggett; J F Cheng; T Hawkins; R M Myers; J Shang; L Ramirez; J Schmutz; O Velasquez; K Dixon; N E Stone; D R Cox; D Haussler; W J Kent; T Furey; S Rogic; S Kennedy; S Jones; A Rosenthal; G Wen; M Schilhabel; G Gloeckner; G Nyakatura; R Siebert; B Schlegelberger; J Korenberg; X N Chen; A Fujiyama; M Hattori; A Toyoda; T Yada; H S Park; Y Sakaki; N Shimizu; S Asakawa; K Kawasaki; T Sasaki; A Shintani; A Shimizu; K Shibuya; J Kudoh; S Minoshima; J Ramser; P Seranski; C Hoff; A Poustka; R Reinhardt; H Lehrach
Journal:  Nature       Date:  2001-02-15       Impact factor: 49.962

3.  Gene expression profiling predicts clinical outcome of breast cancer.

Authors:  Laura J van 't Veer; Hongyue Dai; Marc J van de Vijver; Yudong D He; Augustinus A M Hart; Mao Mao; Hans L Peterse; Karin van der Kooy; Matthew J Marton; Anke T Witteveen; George J Schreiber; Ron M Kerkhoven; Chris Roberts; Peter S Linsley; René Bernards; Stephen H Friend
Journal:  Nature       Date:  2002-01-31       Impact factor: 49.962

4.  High expression of Wilms' tumor suppressor gene predicts poor prognosis in breast cancer patients.

Authors:  Yasuo Miyoshi; Akiko Ando; Chiyomi Egawa; Tetsuya Taguchi; Yasuhiro Tamaki; Hiroya Tamaki; Haruo Sugiyama; Shinzaburo Noguchi
Journal:  Clin Cancer Res       Date:  2002-05       Impact factor: 12.531

5.  The association of HER-2/neu amplification with breast cancer recurrence.

Authors:  J A Carr; S Havstad; R J Zarbo; G Divine; P Mackowiak; V Velanovich
Journal:  Arch Surg       Date:  2000-12

Review 6.  Hsp90 inhibitors as novel cancer chemotherapeutic agents.

Authors:  Len Neckers
Journal:  Trends Mol Med       Date:  2002       Impact factor: 11.951

7.  Identification by cDNA microarray of genes involved in ovarian carcinogenesis.

Authors:  K Ono; T Tanaka; T Tsunoda; O Kitahara; C Kihara; A Okamoto; K Ochiai; T Takagi; Y Nakamura
Journal:  Cancer Res       Date:  2000-09-15       Impact factor: 12.701

8.  Discovery of over-expressed genes and genetic alterations in breast cancer cells using a combination of suppression subtractive hybridization, multiplex FISH and comparative genomic hybridization.

Authors:  Dong Xie; Anna Jauch; Carl W Miller; Claus R Bartram; H Phillip Koeffler
Journal:  Int J Oncol       Date:  2002-09       Impact factor: 5.650

9.  The pathological findings of breast cancer in patients surviving 25 years after radical mastectomy.

Authors:  P J Dawson; D J Ferguson; T Karrison
Journal:  Cancer       Date:  1982-11-15       Impact factor: 6.860

10.  Pathological prognostic factors in breast cancer. I. The value of histological grade in breast cancer: experience from a large study with long-term follow-up.

Authors:  C W Elston; I O Ellis
Journal:  Histopathology       Date:  1991-11       Impact factor: 5.087

View more
  5 in total

1.  A clinical prognostic prediction of lymph node-negative breast cancer by gene expression profiles.

Authors:  Dingfeng Jiang; Naiqing Zhao
Journal:  J Cancer Res Clin Oncol       Date:  2006-06-08       Impact factor: 4.553

2.  Genetic prognostic index influences patient outcome for node-positive breast cancer.

Authors:  Shin-Ichi Asaka; Takashi Fujimoto; Junko Akaishi; Kenji Ogawa; Masamitsu Onda
Journal:  Surg Today       Date:  2006       Impact factor: 2.549

3.  Identification of cellular genes showing differential expression associated with hepatitis B virus infection.

Authors:  Yasuo Fukuhara; Takeshi Suda; Makoto Kobayashi; Yasushi Tamura; Masato Igarashi; Nobuo Waguri; Hirokazu Kawai; Yutaka Aoyagi
Journal:  World J Hepatol       Date:  2012-04-27

4.  Gene expression variation to predict 10-year survival in lymph-node-negative breast cancer.

Authors:  Elin Karlsson; Ulla Delle; Anna Danielsson; Björn Olsson; Frida Abel; Per Karlsson; Khalil Helou
Journal:  BMC Cancer       Date:  2008-09-08       Impact factor: 4.430

5.  OSeac: An Online Survival Analysis Tool for Esophageal Adenocarcinoma.

Authors:  Qiang Wang; Zhongyi Yan; Linna Ge; Ning Li; Mengsi Yang; Xiaoxiao Sun; Longxiang Xie; Guosen Zhang; Wan Zhu; Yunlong Wang; Yongqiang Li; Xianzhe Li; Xiangqian Guo
Journal:  Front Oncol       Date:  2020-03-06       Impact factor: 6.244

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.