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Updated: Aug 21, 2026

Quantitative Mass Spectrometric Profiling of Cancer-cell Proteomes Derived From Liquid and Solid Tumors
Published on: February 27, 2015
Genomic and proteomic technologies for individualisation and improvement of cancer treatment
Julia Wulfkuhle1, Virginia Espina, Lance Liotta
1NCI/FDA Clinical Proteomics Program, Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA. wulfkuhle@cber.fda.gov
Abstract:
The development of microarray-based technologies for characterising tumours, both at the genomic and proteomic levels, has had a significant impact on the field of oncology. Gene expression profiling of various human tumour tissues has led to the identification of expression patterns related to disease outcome and drug resistance, as well as to the discovery of new therapeutic targets and insights into disease pathogenesis. Protein microarray technologies, such as reverse-phase protein arrays, provide the unique opportunity to profile tissues and assess the activity of signalling pathways within isolated cell populations. This technology can be used to identify patients likely to benefit from specific treatment modalities and also to monitor therapeutic response in samples obtained during and after treatment. Routine application of genomic and proteomic microarray technologies in clinical practice will require significant efforts to standardise the techniques, controls and reference standards, and analytical tools used. Extensive, independent validation using large, statistically-powered datasets will also be necessary. Inclusion of concomitant genomic and proteomic-based molecular profiling techniques into clinical trial protocols will bring us closer to the reality of patient-tailored therapy.
Insights
Microarray technologies for cancer research offer insights into disease and drug resistance. Standardizing these genomic and proteomic tools is key for personalized cancer therapy.
Area of Science:
- Oncology
- Molecular Biology
- Biotechnology
Background:
- Microarray technologies have significantly advanced cancer research by enabling genomic and proteomic characterization of tumors.
- Gene expression profiling has identified patterns linked to patient outcomes, drug resistance, and disease mechanisms.
Purpose of the Study:
- To highlight the impact and potential of genomic and proteomic microarray technologies in oncology.
- To discuss the application of these technologies in identifying therapeutic targets and predicting treatment response.
Main Methods:
- Utilizing gene expression profiling of human tumor tissues.
- Employing protein microarray technologies, such as reverse-phase protein arrays, for pathway analysis.
Main Results:
- Identification of expression patterns correlating with disease outcome and drug resistance.
- Assessment of signaling pathway activity to guide treatment selection and monitor response.
Conclusions:
- Genomic and proteomic microarrays hold promise for personalized cancer therapy.
- Standardization, validation, and integration into clinical trials are crucial for routine application.
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