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Single-Cell Transcription Site Activation Predicts Chemotherapy Response in Human Colorectal Tumors
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...
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Published in: | Cancer research (Chicago, Ill.) Ill.), 2008-07, Vol.68 (13), p.4977-4982 |
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description | 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, Cu(2+) transporting beta 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. |
doi_str_mv | 10.1158/0008-5472.CAN-07-6770 |
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Andrew ; PESTELL, Richard G ; AUGENLICHT, Leonard H ; SINGER, Robert H</creator><creatorcontrib>PEZO, Rossanna C ; GANDHI, Saumil J ; SHIRLEY, L. Andrew ; PESTELL, Richard G ; AUGENLICHT, Leonard H ; SINGER, Robert H</creatorcontrib><description>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, Cu(2+) transporting beta 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. 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Andrew</creatorcontrib><creatorcontrib>PESTELL, Richard G</creatorcontrib><creatorcontrib>AUGENLICHT, Leonard H</creatorcontrib><creatorcontrib>SINGER, Robert H</creatorcontrib><title>Single-Cell Transcription Site Activation Predicts Chemotherapy Response in Human Colorectal Tumors</title><title>Cancer research (Chicago, Ill.)</title><addtitle>Cancer Res</addtitle><description>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, Cu(2+) transporting beta 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.</description><subject>Adenosine Triphosphatases - analysis</subject><subject>Adenosine Triphosphatases - genetics</subject><subject>Algorithms</subject><subject>Antineoplastic agents</subject><subject>Antineoplastic Agents - therapeutic use</subject><subject>bcl-2 Homologous Antagonist-Killer Protein - analysis</subject><subject>bcl-2 Homologous Antagonist-Killer Protein - genetics</subject><subject>Biological and medical sciences</subject><subject>Biomarkers, Pharmacological - analysis</subject><subject>Carcinoma - diagnosis</subject><subject>Carcinoma - drug therapy</subject><subject>Carcinoma - genetics</subject><subject>Cation Transport Proteins - analysis</subject><subject>Cation Transport Proteins - genetics</subject><subject>Cell Line, Tumor</subject><subject>Colorectal Neoplasms - diagnosis</subject><subject>Colorectal Neoplasms - drug therapy</subject><subject>Colorectal Neoplasms - genetics</subject><subject>Copper-transporting ATPases</subject><subject>Drug Resistance, Neoplasm - genetics</subject><subject>Fluorouracil - therapeutic use</subject><subject>HCT116 Cells</subject><subject>Humans</subject><subject>In Situ Hybridization, Fluorescence</subject><subject>Medical sciences</subject><subject>Pharmacology. Drug treatments</subject><subject>Predictive Value of Tests</subject><subject>Prognosis</subject><subject>Thymidylate Synthase - analysis</subject><subject>Thymidylate Synthase - genetics</subject><subject>Transcription Factors - analysis</subject><subject>Transcription Factors - genetics</subject><subject>Transcription Initiation Site - physiology</subject><subject>Tumors</subject><issn>0008-5472</issn><issn>1538-7445</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><recordid>eNpVkFtLwzAUx4MoOi8fQemLj53JcmtfhFHUCUPFzeeQpqcu0jYl6QS_vZkbU58O55z_BX4IXRI8JoRnNxjjLOVMTsbF9CnFMhVS4gM0IpxmqWSMH6LRXnOCTkP4iCsnmB-jE5LxnGY5HSGzsN17A2kBTZMsve6C8bYfrOuShR0gmZrBfuqf_cVDZc0QkmIFrRtW4HX_lbxC6F0XILFdMlu3uksK1zgPZtAxcN06H87RUa2bABe7eYbe7u-WxSydPz88FtN5apikQ1qKXGY1VIIDrfOMllVpWC5KI2sGRkqSUVkyAqVgNc-riSwnGIgR1AgWj5ieodttbr8uW6gMdIPXjeq9bbX_Uk5b9f_T2ZV6d5-KEiyFyGMA3wYY70LwUO-9BKsNdbUhqjZEVaSusFQb6tF39bf417XDHAXXO4EORjd15Gxs2OsmsZ6RXNBvLQeOOQ</recordid><startdate>20080701</startdate><enddate>20080701</enddate><creator>PEZO, Rossanna C</creator><creator>GANDHI, Saumil J</creator><creator>SHIRLEY, L. 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subjects | Adenosine Triphosphatases - analysis Adenosine Triphosphatases - genetics Algorithms Antineoplastic agents Antineoplastic Agents - therapeutic use bcl-2 Homologous Antagonist-Killer Protein - analysis bcl-2 Homologous Antagonist-Killer Protein - genetics Biological and medical sciences Biomarkers, Pharmacological - analysis Carcinoma - diagnosis Carcinoma - drug therapy Carcinoma - genetics Cation Transport Proteins - analysis Cation Transport Proteins - genetics Cell Line, Tumor Colorectal Neoplasms - diagnosis Colorectal Neoplasms - drug therapy Colorectal Neoplasms - genetics Copper-transporting ATPases Drug Resistance, Neoplasm - genetics Fluorouracil - therapeutic use HCT116 Cells Humans In Situ Hybridization, Fluorescence Medical sciences Pharmacology. Drug treatments Predictive Value of Tests Prognosis Thymidylate Synthase - analysis Thymidylate Synthase - genetics Transcription Factors - analysis Transcription Factors - genetics Transcription Initiation Site - physiology Tumors |
title | Single-Cell Transcription Site Activation Predicts Chemotherapy Response in Human Colorectal Tumors |
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