Evidence map›Paper›PMID 41174467›Full record

ArticleClinical proteomics2025

Comprehensive proteome profiling of cytochrome P450 isoforms in cancer models.

Sadr Ul Shaheed, Ahood A Al-Eidan, Klaus Pors, Laurence Patterson, Chris W Sutton

Abstract read
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Article in Clinical proteomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Sadr Ul ShaheedNuffield Department of Surgical Sciences and Biomedical Research Centre, University of Oxford, Oxford, UK. Sadr.shaheed@nds.ox.ac.uk.
Ahood A Al-EidanDepartment of Biology, College of Science, Imam Abdulrahman bin Faisal University, P. O. Box 1982, Dammam, 31441, Saudi Arabia.
Klaus PorsInstitute of Cancer Therapeutics, University of Bradford, Bradford, UK.
Laurence PattersonInstitute of Cancer Therapeutics, University of Bradford, Bradford, UK.
Chris W SuttonInstitute of Cancer Therapeutics, University of Bradford, Bradford, UK.

Funding

Yorkshire Cancer Research UK B381PA
6 · The paper itself

Abstract

backgroundCytochrome P450 (CYP450) enzymes are essential for drug metabolism, xenobiotic detoxification, and procarcinogen activation, playing a pivotal role in both normal physiology and cancer biology. Their expression varies significantly across tissues and tumour types, reflecting the metabolic heterogeneity of cancers. Understanding these variations is critical for developing targeted therapies, optimizing drug efficacy, and minimizing toxicity. This study aimed to comprehensively profile CYP450 expression across colorectal cancer (CRC), head and neck squamous cell carcinoma (HNSCC), breast cancer, and hepatic cancer models using proteomic techniques.

methodsWe analysed various cancer models (cell lines, xenografts, and patient tissue biopsies) using gel electrophoresis coupled with liquid chromatography-mass spectrometry (GEL-LC-MS). Equal amounts of protein were separated by gel electrophoresis, and the 45-65 kDa molecular weight range was analysed on the Orbitrap Fusion Mass Spectrometer.

resultsDistinct CYP450 expression profiles were observed across cancer types. In CRC, CYP2W1 and CYP2S1 were highly expressed, while CYP1B1 and CYP2W1 were prominent in HNSCC, highlighting their potential as biomarkers and therapeutic targets. Breast cancer models predominantly expressed CYP2J2 and CYP2S1, whereas CYP3A and CYP2C subfamily members were enriched in hepatic cancer, underscoring their roles in xenobiotic metabolism and drug clearance.

conclusionThis study provides the first comprehensive semi-quantitative proteomic map of CYP450 isoforms across multiple cancer models. The findings reveal metabolic heterogeneity and identify clinically relevant targets, offering a foundation for future functional studies and personalized therapeutic strategies.

Indexed as

BiomarkersColorectal cancerCYP450 enzymesGEL-LC-MSHead and neck cancerPersonalized therapy

Identifiers

PMID41174467
PMCPMC12577409

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.