Literature DB >> 16033823

Breast cancer patients with p53 Pro72 homozygous genotype have a poorer survival.

Johanna Tommiska1, Hannaleena Eerola, Mira Heinonen, Laura Salonen, Milja Kaare, Jonna Tallila, Ari Ristimäki, Karl von Smitten, Kristiina Aittomäki, Päivi Heikkilä, Carl Blomqvist, Heli Nevanlinna.   

Abstract

PURPOSE: The p53 R72P polymorphism has been suggested to play a role in many cancers, including breast cancer. Our aim was to evaluate association of R72P with breast cancer risk as well as histopathologic features of the breast tumors and survival. EXPERIMENTAL
DESIGN: The germ line R72P genotype was defined among 939 Finnish familial and 888 unselected breast cancer patients and 736 healthy population controls. The clinical and biological variables were tested for association by univariate analysis and the effects of several variables on survival by Cox's proportional hazards regression model.
RESULTS: The distribution of the genotypes was similar in all groups studied, suggesting no association with breast cancer risk. Unselected breast cancer patients with 72P homozygous genotype presented significantly more often with lobular carcinoma, whereas R72 allele carriers had a significantly higher frequency of ductal carcinomas (P = 0.004). No significant association with other histopathologic variables, like tumor grade, hormone receptor status (estrogen and progesterone receptors), or tumor-node-metastasis stage, was observed. Survival analysis showed that unselected breast cancer patients with 72P homozygous genotype had significantly poorer survival than patients with other genotypes (P = 0.003). This effect on survival was independent of p53 expression in the tumors and multivariate analysis showed that 72P homozygous genotype was overall an independent prognostic factor (risk ratio of death, 2.1; 95% confidence interval, 1.4-3.3; P = 0.001).
CONCLUSIONS: These results suggest no effect of either R72P allele on breast cancer risk but a significantly reduced survival for 72P homozygous breast cancer patients. The finding of codon 72 genotype as an independent prognostic marker for breast cancer warrants further studies.

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Year:  2005        PMID: 16033823     DOI: 10.1158/1078-0432.CCR-05-0173

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  54 in total

1.  Individual and combined effects of MDM2 SNP309 and TP53 Arg72Pro on breast cancer risk: an updated meta-analysis.

Authors:  Hongtao Cheng; Biao Ma; Ran Jiang; Wei Wang; Hui Guo; Na Shen; Dapeng Li; Qunzi Zhao; Rui Wang; Pengfei Yi; Yue Zhao; Zeming Liu; Tao Huang
Journal:  Mol Biol Rep       Date:  2012-06-24       Impact factor: 2.316

2.  TP53 codon 72 polymorphism in 12 populations of insular Southeast Asia and Oceania.

Authors:  Taeko Kashima; Kumiko Makino; Augustinua Soemantri; Takafumi Ishida
Journal:  J Hum Genet       Date:  2007-07-03       Impact factor: 3.172

3.  Epistatic interaction of Arg72Pro TP53 and -710 C/T VEGFR1 polymorphisms in breast cancer: predisposition and survival.

Authors:  Patricia Rodrigues; Jessica Furriol; Eduardo Tormo; Sandra Ballester; Ana Lluch; Pilar Eroles
Journal:  Mol Cell Biochem       Date:  2013-04-06       Impact factor: 3.396

4.  p53 Pro72Arg polymorphism and prostate cancer in men of African descent.

Authors:  L Ricks-Santi; T Mason; V Apprey; C Ahaghotu; A McLauchlin; D Josey; G Bonney; G M Dunston
Journal:  Prostate       Date:  2010-12-01       Impact factor: 4.104

5.  Germline variation in TP53 regulatory network genes associates with breast cancer survival and treatment outcome.

Authors:  Maral Jamshidi; Marjanka K Schmidt; Thilo Dörk; Montserrat Garcia-Closas; Tuomas Heikkinen; Sten Cornelissen; Alexandra J van den Broek; Peter Schürmann; Andreas Meyer; Tjoung-Won Park-Simon; Jonine Figueroa; Mark Sherman; Jolanta Lissowska; Garrett Teoh Hor Keong; Astrid Irwanto; Marko Laakso; Sampsa Hautaniemi; Kristiina Aittomäki; Carl Blomqvist; Jianjun Liu; Heli Nevanlinna
Journal:  Int J Cancer       Date:  2012-10-25       Impact factor: 7.396

6.  Analysis of functional germline polymorphisms for prediction of response to anthracycline-based neoadjuvant chemotherapy in breast cancer.

Authors:  Joanna Szkandera; Gudrun Absenger; Nadia Dandachi; Peter Regitnig; Sigurd Lax; Michael Stotz; Hellmut Samonigg; Wilfried Renner; Armin Gerger
Journal:  Mol Genet Genomics       Date:  2012-08-18       Impact factor: 3.291

7.  Combined effects of single nucleotide polymorphisms TP53 R72P and MDM2 SNP309, and p53 expression on survival of breast cancer patients.

Authors:  Marjanka K Schmidt; Johanna Tommiska; Annegien Broeks; Flora E van Leeuwen; Laura J Van't Veer; Paul D P Pharoah; Douglas F Easton; Mitul Shah; Manjeet Humphreys; Thilo Dörk; Scarlett A Reincke; Rainer Fagerholm; Carl Blomqvist; Heli Nevanlinna
Journal:  Breast Cancer Res       Date:  2009-12-18       Impact factor: 6.466

8.  Classical and Novel Prognostic Markers for Breast Cancer and their Clinical Significance.

Authors:  Pankaj Taneja; Dejan Maglic; Fumitake Kai; Sinan Zhu; Robert D Kendig; Elizabeth A Fry; Kazushi Inoue
Journal:  Clin Med Insights Oncol       Date:  2010-04-20

9.  Prognostic role of p53 codon 72 polymorphism in gastric cancer patients treated with fluorouracil-based adjuvant chemotherapy.

Authors:  Zhao-Hui Huang; Dong Hua; Li-Hua Li; Jing-De Zhu
Journal:  J Cancer Res Clin Oncol       Date:  2008-03-21       Impact factor: 4.553

10.  The TP53 Arg72Pro and MDM2 309G>T polymorphisms are not associated with breast cancer risk in BRCA1 and BRCA2 mutation carriers.

Authors:  O M Sinilnikova; A C Antoniou; J Simard; S Healey; M Léoné; D Sinnett; A B Spurdle; J Beesley; X Chen; M H Greene; J T Loud; F Lejbkowicz; G Rennert; S Dishon; I L Andrulis; S M Domchek; K L Nathanson; S Manoukian; P Radice; I Konstantopoulou; I Blanco; A L Laborde; M Durán; A Osorio; J Benitez; U Hamann; F B L Hogervorst; T A M van Os; H J P Gille; S Peock; M Cook; C Luccarini; D G Evans; F Lalloo; R Eeles; G Pichert; R Davidson; T Cole; J Cook; J Paterson; C Brewer; D J Hughes; I Coupier; S Giraud; F Coulet; C Colas; F Soubrier; E Rouleau; I Bièche; R Lidereau; L Demange; C Nogues; H T Lynch; R K Schmutzler; B Versmold; C Engel; A Meindl; N Arnold; C Sutter; H Deissler; D Schaefer; U G Froster; K Aittomäki; H Nevanlinna; L McGuffog; D F Easton; G Chenevix-Trench; D Stoppa-Lyonnet
Journal:  Br J Cancer       Date:  2009-08-25       Impact factor: 7.640

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