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Article: High expression of p300 in human breast cancer correlates with tumor recurrence and predicts adverse prognosis

TitleHigh expression of p300 in human breast cancer correlates with tumor recurrence and predicts adverse prognosis
Authors
KeywordsBreast Cancer
P300
Prognosis
Tumor Recurrence
Issue Date2011
PublisherChina Anti-Cancer Association. The Journal's web site is located at http://zgazyj.periodicals.net.cn/
Citation
Chinese Journal Of Cancer Research, 2011, v. 23 n. 3, p. 201-207 How to Cite?
AbstractObjective: Transcriptional coactivator p300 has been shown to play a variety of roles in the transcription process and mutation of p300 has been found in certain types of human cancers. However, the expression dynamics of p300 in breast cancer (BC) and its effect on BC patients' prognosis are poorly understood. Methods: In the present study, the methods of tissue microarray and immunohistochemistry (IHC) were used to investigate the protein expression of p300 in BCs. Receiver operating characteristic (ROC) curve analysis, Spearman's rank correlation, Kaplan-Meier plots and Cox proportional hazards regression model were utilized to analyze the data. Results: Based on the ROC curve analysis, the cutoff value for p300 high expression was defined when the H score for p300 was more than 105. High expression of p300 could be observed in 105/193 (54.4%) of BCs, in 6/25 (24.0%) of non-malignant breast tissues, respectively (P=0.004). Further correlation analysis showed that high expression of p300 was positively correlated with higher histological grade, advanced clinical stage and tumor recurrence (P<0.05). In univariate survival analysis, a significant association between high expression of p300 and shortened patients' survival and poor progression-free survival was found (P<0.05). Importantly, p300 expression was evaluated as an independent prognostic factor in multivariate analysis (P<0.05). Conclusion: Our findings provide a basis for the concept that high expression of p300 in BC may be important in the acquisition of a recurrence phenotype, suggesting that p300 high expression, as examined by IHC, is an independent biomarker for poor prognosis of patients with BC. © 2011 Chinese Anti-Cancer Association and Springer-Verlag Berlin Heidelberg.
Persistent Identifierhttp://hdl.handle.net/10722/150839
ISSN
2023 Impact Factor: 7.0
ISI Accession Number ID
Funding AgencyGrant Number
National Natural Science Foundation of China30901709
National "973" Basic Research Program of China2010CB529400
2010CB912802
Funding Information:

This work was supported by a grant from the National Natural Science Foundation of China (No. 30901709), the National "973" Basic Research Program of China (No. 2010CB529400 and 2010CB912802).

References

 

DC FieldValueLanguage
dc.contributor.authorXiao, XSen_US
dc.contributor.authorCai, MYen_US
dc.contributor.authorChen, JWen_US
dc.contributor.authorGuan, XYen_US
dc.contributor.authorKung, HFen_US
dc.contributor.authorZeng, YXen_US
dc.contributor.authorXie, Den_US
dc.date.accessioned2012-06-26T06:12:03Z-
dc.date.available2012-06-26T06:12:03Z-
dc.date.issued2011en_US
dc.identifier.citationChinese Journal Of Cancer Research, 2011, v. 23 n. 3, p. 201-207en_US
dc.identifier.issn1000-9604en_US
dc.identifier.urihttp://hdl.handle.net/10722/150839-
dc.description.abstractObjective: Transcriptional coactivator p300 has been shown to play a variety of roles in the transcription process and mutation of p300 has been found in certain types of human cancers. However, the expression dynamics of p300 in breast cancer (BC) and its effect on BC patients' prognosis are poorly understood. Methods: In the present study, the methods of tissue microarray and immunohistochemistry (IHC) were used to investigate the protein expression of p300 in BCs. Receiver operating characteristic (ROC) curve analysis, Spearman's rank correlation, Kaplan-Meier plots and Cox proportional hazards regression model were utilized to analyze the data. Results: Based on the ROC curve analysis, the cutoff value for p300 high expression was defined when the H score for p300 was more than 105. High expression of p300 could be observed in 105/193 (54.4%) of BCs, in 6/25 (24.0%) of non-malignant breast tissues, respectively (P=0.004). Further correlation analysis showed that high expression of p300 was positively correlated with higher histological grade, advanced clinical stage and tumor recurrence (P<0.05). In univariate survival analysis, a significant association between high expression of p300 and shortened patients' survival and poor progression-free survival was found (P<0.05). Importantly, p300 expression was evaluated as an independent prognostic factor in multivariate analysis (P<0.05). Conclusion: Our findings provide a basis for the concept that high expression of p300 in BC may be important in the acquisition of a recurrence phenotype, suggesting that p300 high expression, as examined by IHC, is an independent biomarker for poor prognosis of patients with BC. © 2011 Chinese Anti-Cancer Association and Springer-Verlag Berlin Heidelberg.en_US
dc.languageengen_US
dc.publisherChina Anti-Cancer Association. The Journal's web site is located at http://zgazyj.periodicals.net.cn/en_US
dc.relation.ispartofChinese Journal of Cancer Researchen_US
dc.subjectBreast Canceren_US
dc.subjectP300en_US
dc.subjectPrognosisen_US
dc.subjectTumor Recurrenceen_US
dc.titleHigh expression of p300 in human breast cancer correlates with tumor recurrence and predicts adverse prognosisen_US
dc.typeArticleen_US
dc.identifier.emailGuan, XY:xyguan@hkucc.hku.hken_US
dc.identifier.authorityGuan, XY=rp00454en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1007/s11670-011-0201-5en_US
dc.identifier.scopuseid_2-s2.0-80052865221en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-80052865221&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume23en_US
dc.identifier.issue3en_US
dc.identifier.spage201en_US
dc.identifier.epage207en_US
dc.identifier.isiWOS:000297246600007-
dc.publisher.placeChinaen_US
dc.identifier.scopusauthoridXiao, XS=52564554900en_US
dc.identifier.scopusauthoridCai, MY=39461062300en_US
dc.identifier.scopusauthoridChen, JW=36801162000en_US
dc.identifier.scopusauthoridGuan, XY=7201463221en_US
dc.identifier.scopusauthoridKung, HF=7402514190en_US
dc.identifier.scopusauthoridZeng, YX=7402981579en_US
dc.identifier.scopusauthoridXie, D=35070710200en_US
dc.identifier.citeulike9763566-
dc.identifier.issnl1000-9604-

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