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Analysis of Expression Profile of Gene Encoding Proteins of Signal Cascades Activated by Insulin-like Growth Factors in Colorectal Cancer
The aim of the study is to analyse gene typing with the use of the microarray technique (HG-U133A, Affymetrix), differentiating colorectal cancer tissues from tissues assessed histopathologically as healthy ones among a panel of 93 mRNA of gene encoding proteins involved in the activation of cellula...
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Published in: | International journal of immunopathology and pharmacology 2011-07, Vol.24 (3), p.781-787 |
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container_title | International journal of immunopathology and pharmacology |
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creator | Nowakowska-Zajdel, E. Mazurek, U. Ziółko, E. Niedworok, E. Fatyga, E. Kokot, T. Muc-Wierzgoń, M. |
description | The aim of the study is to analyse gene typing with the use of the microarray technique (HG-U133A, Affymetrix), differentiating colorectal cancer tissues from tissues assessed histopathologically as healthy ones among a panel of 93 mRNA of gene encoding proteins involved in the activation of cellular signal transduction pathways by insulin-like growth factors. The study was conducted on a group of 8 colorectal cancer patients. Frozen tumor and healthy specimens from the patients were used in molecular tests. Transcript IGF2 differentiated cancer from healthy tissue. Among the genes participating in the cascade of signal transfer in cells activated by IGF, GRB10, PIK3R3, PIK3R1, and IRSI were qualified as differentiating transcripts. IRSI indicated over-expression in tumour. Transcript SMAD2 showed a significant changed in tumour samples (increased expression). |
doi_str_mv | 10.1177/039463201102400324 |
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The study was conducted on a group of 8 colorectal cancer patients. Frozen tumor and healthy specimens from the patients were used in molecular tests. Transcript IGF2 differentiated cancer from healthy tissue. Among the genes participating in the cascade of signal transfer in cells activated by IGF, GRB10, PIK3R3, PIK3R1, and IRSI were qualified as differentiating transcripts. IRSI indicated over-expression in tumour. 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The study was conducted on a group of 8 colorectal cancer patients. Frozen tumor and healthy specimens from the patients were used in molecular tests. Transcript IGF2 differentiated cancer from healthy tissue. Among the genes participating in the cascade of signal transfer in cells activated by IGF, GRB10, PIK3R3, PIK3R1, and IRSI were qualified as differentiating transcripts. IRSI indicated over-expression in tumour. Transcript SMAD2 showed a significant changed in tumour samples (increased expression).</description><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Body Mass Index</subject><subject>Colorectal Neoplasms - genetics</subject><subject>Female</subject><subject>Gene Expression Profiling</subject><subject>Humans</subject><subject>Insulin-Like Growth Factor I - genetics</subject><subject>Insulin-Like Growth Factor II - genetics</subject><subject>Male</subject><subject>Microarray Analysis</subject><subject>Middle Aged</subject><subject>Neoplasm Staging</subject><subject>Receptor, IGF Type 1 - genetics</subject><subject>RNA, Messenger - biosynthesis</subject><subject>RNA, Messenger - genetics</subject><subject>Sex Characteristics</subject><subject>Signal Transduction - genetics</subject><subject>Somatomedins - genetics</subject><subject>Transcriptome</subject><issn>0394-6320</issn><issn>2058-7384</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><recordid>eNp9kU1P3DAQhq2Kqqwof6CHyreeAv5K7BxXq2VBQqJS23PkOOOtadbeehLo_oT-axKW9oLEaaSZ53kP8xLyibMLzrW-ZLJWlRSMcyYUY1Kod2QhWGkKLY06IYsZKGbilJwj3jPGOJOqNPwDORW81kazekH-LqPtDxiQJk_Xf_YZEEOK9GtOPvQwbzcQga6jS12I2_kwQIjP_LewnWy6suhsB0iXbggPdoCOtgd6E3HsQyz68AvoJqfH4Se9sm5IGWmIdJX6lMENz350kD-S9972COcv84z8uFp_X10Xt3ebm9XytnBSiaGQunS29FXZMqMMs1B3vDXKlxXUWhiptbKibl3dds5rVgonO9F6LyrFwBovz8iXY-4-p98j4NDsAjroexshjdiYujJSSmMmUhxJlxNiBt_sc9jZfGg4a-YSmtclTNLnl_ix3UH3X_n38gm4PAJot9DcpzFPP8S3Ip8Ak2-P-A</recordid><startdate>20110701</startdate><enddate>20110701</enddate><creator>Nowakowska-Zajdel, E.</creator><creator>Mazurek, U.</creator><creator>Ziółko, E.</creator><creator>Niedworok, E.</creator><creator>Fatyga, E.</creator><creator>Kokot, T.</creator><creator>Muc-Wierzgoń, M.</creator><general>SAGE Publications</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20110701</creationdate><title>Analysis of Expression Profile of Gene Encoding Proteins of Signal Cascades Activated by Insulin-like Growth Factors in Colorectal Cancer</title><author>Nowakowska-Zajdel, E. ; 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subjects | Adult Aged Aged, 80 and over Body Mass Index Colorectal Neoplasms - genetics Female Gene Expression Profiling Humans Insulin-Like Growth Factor I - genetics Insulin-Like Growth Factor II - genetics Male Microarray Analysis Middle Aged Neoplasm Staging Receptor, IGF Type 1 - genetics RNA, Messenger - biosynthesis RNA, Messenger - genetics Sex Characteristics Signal Transduction - genetics Somatomedins - genetics Transcriptome |
title | Analysis of Expression Profile of Gene Encoding Proteins of Signal Cascades Activated by Insulin-like Growth Factors in Colorectal Cancer |
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