Microfluidic Chips for Detecting the t(4;14) Translocation and Monitoring Disease during Treatment Using Reverse Transcriptase-Polymerase Chain Reaction Analysis of IgH-MMSET Hybrid Transcripts
Diagnosis platforms incorporating low-cost microfluidic chips enable sensitive, rapid, and accurate genetic analysis that could facilitate customized therapies tailored to match the vulnerabilities of any types of cancer. Using ex vivo cancer cells, we have detected the unique molecular signature an...
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| Veröffentlicht in: | The Journal of molecular diagnostics : JMD 2007-07, Vol.9 (3), p.358-367 |
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| container_title | The Journal of molecular diagnostics : JMD |
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| creator | VanDijken, Jaron Kaigala, Govind V Lauzon, Jana Atrazhev, Alexey Adamia, Sophia Taylor, Brian J Reiman, Tony Belch, Andrew R Backhouse, Christopher J Pilarski, Linda M |
| description | Diagnosis platforms incorporating low-cost microfluidic chips enable sensitive, rapid, and accurate genetic analysis that could facilitate customized therapies tailored to match the vulnerabilities of any types of cancer. Using ex vivo cancer cells, we have detected the unique molecular signature and a chromosomal translocation in multiple myeloma. Multiple myeloma is characterized by IgH rearrangements and translocations that enable unequivocal identification of malignant cells, detected here with integrated microfluidic chips incorporating genetic amplification via reverse transcriptase-polymerase chain reaction and capillary electrophoresis. On microfluidic chips, we demonstrated accurate and versatile detection of molecular signatures in individual cancer cells, with value for monitoring response to therapy, detecting residual cancer cells that mediate relapse, and evaluating prognosis. Thus, testing for two clinically important molecular biomarkers, the IgH VDJ signature and hybrid transcripts signaling the t(4;14) chro-mosomal translocation, with predictive value in diagnosis, treatment decisions, and monitoring has been efficiently implemented on a miniaturized microfluidic system. |
| doi_str_mv | 10.2353/jmoldx.2007.060149 |
| format | Article |
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Using ex vivo cancer cells, we have detected the unique molecular signature and a chromosomal translocation in multiple myeloma. Multiple myeloma is characterized by IgH rearrangements and translocations that enable unequivocal identification of malignant cells, detected here with integrated microfluidic chips incorporating genetic amplification via reverse transcriptase-polymerase chain reaction and capillary electrophoresis. On microfluidic chips, we demonstrated accurate and versatile detection of molecular signatures in individual cancer cells, with value for monitoring response to therapy, detecting residual cancer cells that mediate relapse, and evaluating prognosis. 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Using ex vivo cancer cells, we have detected the unique molecular signature and a chromosomal translocation in multiple myeloma. Multiple myeloma is characterized by IgH rearrangements and translocations that enable unequivocal identification of malignant cells, detected here with integrated microfluidic chips incorporating genetic amplification via reverse transcriptase-polymerase chain reaction and capillary electrophoresis. On microfluidic chips, we demonstrated accurate and versatile detection of molecular signatures in individual cancer cells, with value for monitoring response to therapy, detecting residual cancer cells that mediate relapse, and evaluating prognosis. 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Kaigala, Govind V ; Lauzon, Jana ; Atrazhev, Alexey ; Adamia, Sophia ; Taylor, Brian J ; Reiman, Tony ; Belch, Andrew R ; Backhouse, Christopher J ; Pilarski, Linda M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4529-9370456cddf4ea1630111373daa356e7f7d67e6c4418e60380b4aeca65546763</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Algorithms</topic><topic>Bone Marrow - metabolism</topic><topic>Chromosomes, Human, Pair 14</topic><topic>Chromosomes, Human, Pair 4</topic><topic>Disease Progression</topic><topic>Gene Expression Profiling - methods</topic><topic>Genes, Immunoglobulin Heavy Chain</topic><topic>Genes, Neoplasm</topic><topic>Humans</topic><topic>Microfluidic Analytical Techniques - methods</topic><topic>Monitoring, Physiologic - methods</topic><topic>Multiple Myeloma - diagnosis</topic><topic>Multiple Myeloma - genetics</topic><topic>Oncogene Proteins, Fusion - analysis</topic><topic>Oncogene Proteins, Fusion - genetics</topic><topic>Oncogene Proteins, Fusion - metabolism</topic><topic>Pathology</topic><topic>Regular</topic><topic>Reverse Transcriptase Polymerase Chain Reaction - methods</topic><topic>Sensitivity and Specificity</topic><topic>Translocation, Genetic</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>VanDijken, Jaron</creatorcontrib><creatorcontrib>Kaigala, Govind V</creatorcontrib><creatorcontrib>Lauzon, Jana</creatorcontrib><creatorcontrib>Atrazhev, Alexey</creatorcontrib><creatorcontrib>Adamia, Sophia</creatorcontrib><creatorcontrib>Taylor, Brian J</creatorcontrib><creatorcontrib>Reiman, Tony</creatorcontrib><creatorcontrib>Belch, Andrew R</creatorcontrib><creatorcontrib>Backhouse, Christopher J</creatorcontrib><creatorcontrib>Pilarski, Linda M</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>The Journal of molecular diagnostics : JMD</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>VanDijken, Jaron</au><au>Kaigala, Govind V</au><au>Lauzon, Jana</au><au>Atrazhev, Alexey</au><au>Adamia, Sophia</au><au>Taylor, Brian J</au><au>Reiman, Tony</au><au>Belch, Andrew R</au><au>Backhouse, Christopher J</au><au>Pilarski, Linda M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Microfluidic Chips for Detecting the t(4;14) Translocation and Monitoring Disease during Treatment Using Reverse Transcriptase-Polymerase Chain Reaction Analysis of IgH-MMSET Hybrid Transcripts</atitle><jtitle>The Journal of molecular diagnostics : JMD</jtitle><addtitle>J Mol Diagn</addtitle><date>2007-07-01</date><risdate>2007</risdate><volume>9</volume><issue>3</issue><spage>358</spage><epage>367</epage><pages>358-367</pages><issn>1525-1578</issn><eissn>1943-7811</eissn><abstract>Diagnosis platforms incorporating low-cost microfluidic chips enable sensitive, rapid, and accurate genetic analysis that could facilitate customized therapies tailored to match the vulnerabilities of any types of cancer. Using ex vivo cancer cells, we have detected the unique molecular signature and a chromosomal translocation in multiple myeloma. Multiple myeloma is characterized by IgH rearrangements and translocations that enable unequivocal identification of malignant cells, detected here with integrated microfluidic chips incorporating genetic amplification via reverse transcriptase-polymerase chain reaction and capillary electrophoresis. On microfluidic chips, we demonstrated accurate and versatile detection of molecular signatures in individual cancer cells, with value for monitoring response to therapy, detecting residual cancer cells that mediate relapse, and evaluating prognosis. 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| ispartof | The Journal of molecular diagnostics : JMD, 2007-07, Vol.9 (3), p.358-367 |
| issn | 1525-1578 1943-7811 |
| language | eng |
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| source | MEDLINE; Elsevier ScienceDirect Journals; EZB-FREE-00999 freely available EZB journals; Alma/SFX Local Collection |
| subjects | Algorithms Bone Marrow - metabolism Chromosomes, Human, Pair 14 Chromosomes, Human, Pair 4 Disease Progression Gene Expression Profiling - methods Genes, Immunoglobulin Heavy Chain Genes, Neoplasm Humans Microfluidic Analytical Techniques - methods Monitoring, Physiologic - methods Multiple Myeloma - diagnosis Multiple Myeloma - genetics Oncogene Proteins, Fusion - analysis Oncogene Proteins, Fusion - genetics Oncogene Proteins, Fusion - metabolism Pathology Regular Reverse Transcriptase Polymerase Chain Reaction - methods Sensitivity and Specificity Translocation, Genetic |
| title | Microfluidic Chips for Detecting the t(4;14) Translocation and Monitoring Disease during Treatment Using Reverse Transcriptase-Polymerase Chain Reaction Analysis of IgH-MMSET Hybrid Transcripts |
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