Single-Cell Transcription Site Activation Predicts Chemotherapy Response in Human Colorectal Tumors
Single-Cell Transcription Site Activation Predicts Chemotherapy Response in Human Colorectal Tumors
Abstract Candidate gene and pathway approaches, and unbiased gene expression profiling, have identified marker signatures predictive of tumor phenotypes, such as drug sensitivity and invasive or metastatic potential. However, application of such information to evaluation of tumors in the clinic is limited by cell heterogeneity in the tumor. We have developed a novel method of fluorescence in situ hybridization (FISH) that can detect transcriptional activation of individual genes at their site in single cells in the interphase nucleus. A major obstacle in the treatment of colorectal cancer is relative insensitivity to the chemotherapeutic agent 5-Fluorouracil (5-FU). Here, we have developed a sensitive approach to predict relative sensitivity of colorectal cancer cells to 5-FU, using FISH with probes targeted to nascent mRNAs to measure the number of individual cells with active transcription sites for a panel of candidate genes. These results reveal that the transcriptional status of four key genes, thymidylate synthase (TYMS), MORF-related gene X (MRGX), Bcl2-antagonist/killer (BAK), and ATPase, Cu2+ transporting β polypeptide (ATP7B), can accurately predict response to 5-FU. As proof of principle, we show that this transcriptional profile is predictive of response to 5-FU in a small number of patient colon tumor tissues. This approach provides a novel ability to identify and characterize unique minor cell populations in the tumor that may exhibit relative resistance to chemotherapy. [Cancer Res 2008;68(13):4977–82]
- Albert Einstein College of Medicine United States
- Kimmel Cancer Center United States
- Thomas Jefferson University United States
- Yeshiva University United States
Adenosine Triphosphatases, Carcinoma, Antineoplastic Agents, Thymidylate Synthase, HCT116 Cells, Prognosis, Biomarkers, Pharmacological, bcl-2 Homologous Antagonist-Killer Protein, Copper-Transporting ATPases, Drug Resistance, Neoplasm, Predictive Value of Tests, Cell Line, Tumor, Humans, Fluorouracil, Transcription Initiation Site, Colorectal Neoplasms, Cation Transport Proteins, Algorithms, In Situ Hybridization, Fluorescence, Transcription Factors
Adenosine Triphosphatases, Carcinoma, Antineoplastic Agents, Thymidylate Synthase, HCT116 Cells, Prognosis, Biomarkers, Pharmacological, bcl-2 Homologous Antagonist-Killer Protein, Copper-Transporting ATPases, Drug Resistance, Neoplasm, Predictive Value of Tests, Cell Line, Tumor, Humans, Fluorouracil, Transcription Initiation Site, Colorectal Neoplasms, Cation Transport Proteins, Algorithms, In Situ Hybridization, Fluorescence, Transcription Factors
61 Research products, page 1 of 7
- 2017IsRelatedTo
- 2017IsRelatedTo
- 2017IsRelatedTo
- 2017IsRelatedTo
- 2017IsRelatedTo
- 2017IsRelatedTo
- 2017IsRelatedTo
- 2017IsRelatedTo
- 2017IsRelatedTo
chevron_left - 1
- 2
- 3
- 4
- 5
chevron_right
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).11 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
