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Heterogeneity Mapping of Protein Expression in Tumors using Quantitative Immunofluorescence
Published on: October 25, 2011
National Oncology Forum: perspectives for the year 2000
1Yale Cancer Center and the Yale University School of Medicine, New Haven, Connecticut 06519, USA.
Abstract:
Despite advances in treatment, long-term outcome of patients with diffuse large B cell lymphoma (DLBCL) is no better today than reported in 1975. A recent study applying DNA microarray technology revealed that patients whose cancer related to patterns of genes expressed in germinal center lymphocytes responded more favorably to chemotherapy than patients whose cancer related to patterns of genes expressed in activated lymphocytes. cDNA and oligonucleotide microarrays are described, and their applications in cancer research are reviewed. In addition to DLBCL, microarray technology has been used to study several types of cancer. The applications of microarray technology are numerous and include profiling gene expression patterns in order to facilitate diagnosis and predict response to therapy; correlating patterns of gene expression with prognosis; and identifying genes and gene products that are associated with tumorigenic phenotype or with drug resistance, among other applications. Microarraytechnology has also been used in cell lines to correlate gene expression and chemotherapy response. Furthermore, microarray technology may provide a useful tool to examine the development of drug resistance in cancer and has recently been used to study changes in gene expression caused by activated c-Myc in primary human fibroblasts. Tissue microarrays are described. In addition to the amplification of limited tissue re sources, tissue microarrays have the advantages of limiting the variability associated with tissue processing and limiting the necessary amount of reagent. Tissue microarrays have been used to determine the frequencies of amplication of 3 major breast cancer genes and identify overexpression of ERBB2 mRNA; assess and compare gene amplification in benign prostatic hyperplasia, primary prostate carcinoma, recurrent prostate tumors, and metastatic tumors; compare aggressiveness of prostate carcinoma in 2 patient populations; and study gene amplification across various tumor types. Furthermore, DNA microarray and tissue microarray techniques can be combined to provide convergent evidence of findings and to examine different aspects of gene expression. DNA array technology may also be used to identify critical molecular targets or to identify the critical rate-limiting step in a cascade of genes under the influence of a mutated gene. The historical progression of goals of the National Cancer Institute is reviewed, as well as the economic impact of reduction in cancer-associated mortality. Future efforts should continue the investment in basic research and more effectively integrate it with clinical trials and with approaches to prevention and treatment.
Insights
Gene expression profiling using DNA microarrays reveals distinct patient subgroups in diffuse large B cell lymphoma (DLBCL). This cancer research identifies patterns linked to chemotherapy response, offering new diagnostic and therapeutic avenues.
Area of Science:
- Oncology
- Molecular Biology
- Genomics
Background:
- Long-term outcomes for diffuse large B cell lymphoma (DLBCL) have not improved since 1975.
- Gene expression patterns in cancer cells can influence treatment response.
Purpose of the Study:
- To investigate the utility of DNA microarray technology in understanding DLBCL.
- To identify gene expression patterns correlating with chemotherapy response in DLBCL patients.
Main Methods:
- DNA microarray technology was employed to analyze gene expression profiles in DLBCL patient samples.
- cDNA and oligonucleotide microarrays were utilized for gene expression profiling.
- Tissue microarrays were used to analyze gene amplification and protein expression in various cancers.
Main Results:
- Patients with DLBCL whose tumors showed gene expression patterns similar to germinal center lymphocytes responded better to chemotherapy.
- Patients with gene expression patterns resembling activated lymphocytes had a less favorable response to chemotherapy.
- Microarray technology demonstrated applications in profiling gene expression for diagnosis, prognosis, and identifying drug resistance markers.
Conclusions:
- Gene expression profiling via DNA microarrays can differentiate DLBCL subtypes with distinct clinical outcomes.
- This technology aids in predicting chemotherapy response and identifying potential therapeutic targets.
- Combining DNA and tissue microarrays offers a powerful approach for comprehensive cancer research.
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