Literature DB >> 10066074

Prognostic and predictive value of p53 and p21 in breast cancer.

R M Elledge1, D C Allred.   

Abstract

The prognostic and predictive value of p53 has been extensively studied in breast cancer. p53 serves a multifunctional role as a transcriptional regulator, genomic stabilizer, inhibitor of cell cycle progression, facilitator of apoptosis, and also perhaps an inhibitor of angiogenesis. Abrogation of its function should therefore lead to a more aggressive breast cancer phenotype and a worse clinical outcome, and indeed the preponderance of studies confirm this, with the risk of recurrence and death increasing by 50% or more if p53 is abnormal. Lack of unanimity of results may be due to differences in technique, study design, or population, as well as the subjectivity inherent in some approaches; however, the complexity and random nature of genomic change present in cancer cells may well also contribute to the lack of unanimity. Because many anticancer agents may exert a therapeutic effect through genomic damage and subsequent triggering of apoptosis, and because p53 can respond to genomic damage and facilitate apoptosis, it can be hypothesized that an intact p53 would predict sensitivity to therapy. Present data in breast cancer, however, does not clearly indicate that this is the case. There are several potential explanations. Study designs to accurately test the predictive value of a molecular marker are more exacting and difficult to achieve than prognostic studies. There may also be multiple alternative pathways, not involving p53, that play a part in determining the therapeutic effect of a treatment. The prognostic value of a downstream effector of p53 has also been assessed, though less extensively. p21 is transcriptionally upregulated by p53 and is an inhibitor of cyclin-dependent kinases and thus of cell cycle progression. Higher levels of p21 might indicate a more indolent type of breast cancer. However, data from a number of clinical studies is very conflicting, and at present p21 is not a promising prognostic factor in breast cancer.

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Year:  1998        PMID: 10066074     DOI: 10.1023/a:1006163101948

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  21 in total

Review 1.  The p53 tumor suppressor gene in ductal carcinoma in situ of the breast.

Authors:  J F Simpson; D L Page
Journal:  Am J Pathol       Date:  2000-01       Impact factor: 4.307

Review 2.  Prognostic factors in node-negative breast cancer: a review of studies with sample size more than 200 and follow-up more than 5 years.

Authors:  Attiqa N Mirza; Nadeem Q Mirza; Georges Vlastos; S Eva Singletary
Journal:  Ann Surg       Date:  2002-01       Impact factor: 12.969

3.  p21(waf) correlates with DNA replication but not with prognosis in invasive breast cancer.

Authors:  U J Göhring; A Bersch; M Becker; W Neuhaus; T Schöndorf
Journal:  J Clin Pathol       Date:  2001-11       Impact factor: 3.411

Review 4.  p53 ancestry: gazing through an evolutionary lens.

Authors:  Wan-Jin Lu; James F Amatruda; John M Abrams
Journal:  Nat Rev Cancer       Date:  2009-10       Impact factor: 60.716

5.  Genetic polymorphisms of p21 and risk of second primary malignancy in patients with index squamous cell carcinoma of the head and neck.

Authors:  Dapeng Lei; Erich M Sturgis; Zhensheng Liu; Mark E Zafereo; Qingyi Wei; Guojun Li
Journal:  Carcinogenesis       Date:  2009-12-02       Impact factor: 4.944

6.  Modeling cancer progression via pathway dependencies.

Authors:  Elena J Edelman; Justin Guinney; Jen-Tsan Chi; Phillip G Febbo; Sayan Mukherjee
Journal:  PLoS Comput Biol       Date:  2008-02       Impact factor: 4.475

7.  Prognostic value of p53 expression in hormone receptor-positive and human epidermal growth factor receptor 2-negative breast cancer patients receiving neoadjuvant chemotherapy.

Authors:  Loai Saleh Albinsaad; Jisun Kim; Il Yong Chung; Beom Seok Ko; Hee Jeong Kim; Jong Won Lee; Byung Ho Son; Sei-Hyun Ahn; Sae Byul Lee
Journal:  Breast Cancer Res Treat       Date:  2021-02-18       Impact factor: 4.872

8.  RB1CC1 together with RB1 and p53 predicts long-term survival in Japanese breast cancer patients.

Authors:  Tokuhiro Chano; Kaichiro Ikebuchi; Yasuhiko Tomita; Yufen Jin; Hideo Inaji; Makoto Ishitobi; Koji Teramoto; Yasuko Ochi; Hitosuke Tameno; Ichiro Nishimura; Kahori Minami; Hirokazu Inoue; Takahiro Isono; Masao Saitoh; Taketoshi Shimada; Yasuo Hisa; Hidetoshi Okabe
Journal:  PLoS One       Date:  2010-12-22       Impact factor: 3.240

9.  Comparative study of gene set enrichment methods.

Authors:  Luca Abatangelo; Rosalia Maglietta; Angela Distaso; Annarita D'Addabbo; Teresa Maria Creanza; Sayan Mukherjee; Nicola Ancona
Journal:  BMC Bioinformatics       Date:  2009-09-02       Impact factor: 3.169

10.  Mutations in p53, p53 protein overexpression and breast cancer survival.

Authors:  Pavel Rossner; Marilie D Gammon; Yu-Jing Zhang; Mary Beth Terry; Hanina Hibshoosh; Lorenzo Memeo; Mahesh Mansukhani; Chang-Min Long; Gail Garbowski; Meenakshi Agrawal; Tara S Kalra; Mia M Gaudet; Susan L Teitelbaum; Alfred I Neugut; Regina M Santella
Journal:  J Cell Mol Med       Date:  2008-10-16       Impact factor: 5.310

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