ScholarLens Back to search
2010•HistopathologyRequires access

Profiling the expression of cytochrome P450 in breast cancer

Graeme I. Murray, Siva Patimalla, Keith N. Stewart, Iain D. Miller, Steven D. Heys

Open publisher page 150 citations

Abstract

AIMS: The cytochrome P450s (P450) are key oxidative enzymes that metabolize many carcinogens and anticancer drugs. Thus, these enzymes influence tumour development, tumour response to therapy and are putative tumour biomarkers. The aim was to define the P450 expression profile in breast cancer and establish the significance of P450 expression in this tumour type. METHODS AND RESULTS: A tissue microarray containing 170 breast cancers of no special type was immunostained for a panel of 21 P450s. The highest percentage of strong immunopositivity in breast cancers was seen for CYP4X1 (50.8%), CYP2S1 (37.5%) and CYP2U1 (32.2%), while CYP2J (98.6%) and CYP3A43 (70.7%) were the P450s that most frequently displayed no immunoreactivity. CYP4V2 (P = 0.01), CYP4X1 (P = 0.01) and CYP4Z1 (P = 0.01) showed correlations with tumour grade. CYP1B1 (P = 0.001), CYP3A5 (P = 0.001) and CYP51 (P = 0.005) showed the most significant correlations with oestrogen receptor status. Correlations with survival were identified for CYP2S1 (P = 0.03), CYP3A4 (P = 0.025), CYP4V2 (P = 0.026) and CYP26A1 (P = 0.03), although none of these P450s was an independent marker of prognosis. CONCLUSIONS: This study has defined the expression profile of cytochrome P450s in breast cancer and may offer their potential application as biomarkers to aid decisions regarding optimal adjuvant hormonal therapy.

About this research paper

What this paper is about

AIMS: The cytochrome P450s (P450) are key oxidative enzymes that metabolize many carcinogens and anticancer drugs. Thus, these enzymes influence tumour development, tumour response to therapy and are putative tumour biomarkers. The aim was to define the P450 expression profile in breast cancer and establish the significance of P450 expression in this tumour type. METHODS AND RESULTS: A tissue microarray containing 170 breast cancers of no special type was immunostained for a panel of 21 P450s. The highest percentage of strong immunopositivity in breast cancers was seen for CYP4X1 (50.8%), CYP2S1 (37.5%) and CYP2U1 (32.2%), while CYP2J (98.6%) and CYP3A43 (70.7%) were the P450s that most frequently displayed no immunoreactivity. CYP4V2 (P = 0.01), CYP4X1 (P = 0.01) and CYP4Z1 (P = 0.01) showed correlations with tumour grade. CYP1B1 (P = 0.001), CYP3A5 (P = 0.001) and CYP51 (P = 0.005) showed the most significant correlations with oestrogen receptor status. Correlations with survival were identified for CYP2S1 (P = 0.03), CYP3A4 (P = 0.025), CYP4V2 (P = 0.026) and CYP26A1 (P = 0.03), although none of these P450s was an independent marker of prognosis. CONCLUSIONS: This study has defined the expression profile of cytochrome P450s in breast cancer and may offer their potential application as biomarkers to aid decisions regarding optimal adjuvant hormonal therapy.

Why it matters

OpenAlex reports 150 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

AIMS: The cytochrome P450s (P450) are key oxidative enzymes that metabolize many carcinogens and anticancer drugs. Thus, these enzymes influence tumour development, tumour response to therapy and are putative tumour biomarkers. The aim was to define the P450 expression profile in breast cancer and establish the significance of P450 expression in this tumour type. METHODS AND RESULTS: A tissue microarray containing 170 breast cancers of no special type was immunostained for a panel of 21 P450s. The highest percentage of strong immunopositivity in breast cancers was seen for CYP4X1 (50.8%), CYP2S1 (37.5%) and CYP2U1 (32.2%), while CYP2J (98.6%) and CYP3A43 (70.7%) were the P450s that most frequently displayed no immunoreactivity. CYP4V2 (P = 0.01), CYP4X1 (P = 0.01) and CYP4Z1 (P = 0.01) showed correlations with tumour grade. CYP1B1 (P = 0.001), CYP3A5 (P = 0.001) and CYP51 (P = 0.005) showed the most significant correlations with oestrogen receptor status. Correlations with survival were identified for CYP2S1 (P = 0.03), CYP3A4 (P = 0.025), CYP4V2 (P = 0.026) and CYP26A1 (P = 0.03), although none of these P450s was an independent marker of prognosis. CONCLUSIONS: This study has defined the expression profile of cytochrome P450s in breast cancer and may offer their potential application as biomarkers to aid decisions regarding optimal adjuvant hormonal therapy.

Key concepts: Breast cancer, CYP1B1, Cytochrome P450, CYP3A4, Tissue microarray, Immunohistochemistry, Internal medicine, Oncology

Related papers

Related paper 1Related paper 2Related paper 3
Back to paper searchBrowse research topicsOriginal source
Profiling the expression of cytochrome P450 in breast cancer — Research Paper | ScholarLens