{"id":423,"date":"2024-10-23T13:06:05","date_gmt":"2024-10-23T13:06:05","guid":{"rendered":"https:\/\/pixeldigitalagency.com\/clients\/plasmaseq\/?page_id=423"},"modified":"2025-02-03T10:15:34","modified_gmt":"2025-02-03T10:15:34","slug":"technology","status":"publish","type":"page","link":"https:\/\/www.ncgmus.com\/plasmaseq\/technology\/","title":{"rendered":"Technology"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"423\" class=\"elementor elementor-423\" data-elementor-post-type=\"page\">\n\t\t\t\t<div class=\"elementor-element elementor-element-92ae369 e-con-full e-flex e-con e-parent\" data-id=\"92ae369\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t<div class=\"elementor-element elementor-element-d8b08cc e-flex e-con-boxed e-con e-child\" data-id=\"d8b08cc\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-9b183bb e-con-full e-flex e-con e-child\" data-id=\"9b183bb\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-cd04a97 split-breadcrumbs-y elementor-widget elementor-widget-the7-breadcrumb\" data-id=\"cd04a97\" data-element_type=\"widget\" data-widget_type=\"the7-breadcrumb.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<div class=\"assistive-text\">You are here:<\/div><ol class=\"breadcrumbs text-small rcrumbs\" itemscope itemtype=\"https:\/\/schema.org\/BreadcrumbList\"><li itemprop=\"itemListElement\" itemscope itemtype=\"https:\/\/schema.org\/ListItem\"><a itemprop=\"item\" href=\"https:\/\/www.ncgmus.com\/plasmaseq\/\" title=\"Home\"><span itemprop=\"name\">Home<\/span><\/a><meta itemprop=\"position\" content=\"1\" \/><\/li><li class=\"current\" itemprop=\"itemListElement\" itemscope itemtype=\"https:\/\/schema.org\/ListItem\"><span itemprop=\"name\">Page<\/span><meta itemprop=\"position\" content=\"2\" \/><\/li><\/ol>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-7c4576d e-flex e-con-boxed e-con e-parent\" data-id=\"7c4576d\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-5222b24 e-con-full e-flex e-con e-child\" data-id=\"5222b24\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-9c2cc74 elementor-invisible elementor-widget elementor-widget-heading\" data-id=\"9c2cc74\" data-element_type=\"widget\" data-settings=\"{&quot;_animation&quot;:&quot;fadeInUp&quot;}\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Comparison with Conventional Testing<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-537f796 elementor-icon-list--layout-traditional elementor-list-item-link-full_width elementor-invisible elementor-widget elementor-widget-icon-list\" data-id=\"537f796\" data-element_type=\"widget\" data-settings=\"{&quot;_animation&quot;:&quot;fadeInUp&quot;}\" data-widget_type=\"icon-list.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<ul class=\"elementor-icon-list-items\">\n\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-check-circle\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M504 256c0 136.967-111.033 248-248 248S8 392.967 8 256 119.033 8 256 8s248 111.033 248 248zM227.314 387.314l184-184c6.248-6.248 6.248-16.379 0-22.627l-22.627-22.627c-6.248-6.249-16.379-6.249-22.628 0L216 308.118l-70.059-70.059c-6.248-6.248-16.379-6.248-22.628 0l-22.627 22.627c-6.248 6.248-6.248 16.379 0 22.627l104 104c6.249 6.249 16.379 6.249 22.628.001z\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Biallelic 1p del<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t<\/ul>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0a79cce elementor-widget-tablet__width-inherit elementor-invisible elementor-widget elementor-widget-text-editor\" data-id=\"0a79cce\" data-element_type=\"widget\" data-settings=\"{&quot;_animation&quot;:&quot;fadeInUp&quot;}\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>1p deletions involving the CDKN2C gene are critical in defining risk in multiple myeloma. Though FISH is able to identify multiple myeloma 1p deletions, it is often challenging for it to detect bi-allelic deletions which indicate deletions of both copies of the gene. This is especially important when small portions of this gene are deleted. It is anticipated that almost *** percentage of bi allelic deletions may be missed by FISH based on available data.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4074b92 elementor-icon-list--layout-traditional elementor-list-item-link-full_width elementor-invisible elementor-widget elementor-widget-icon-list\" data-id=\"4074b92\" data-element_type=\"widget\" data-settings=\"{&quot;_animation&quot;:&quot;fadeInUp&quot;}\" data-widget_type=\"icon-list.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<ul class=\"elementor-icon-list-items\">\n\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-check-circle\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M504 256c0 136.967-111.033 248-248 248S8 392.967 8 256 119.033 8 256 8s248 111.033 248 248zM227.314 387.314l184-184c6.248-6.248 6.248-16.379 0-22.627l-22.627-22.627c-6.248-6.249-16.379-6.249-22.628 0L216 308.118l-70.059-70.059c-6.248-6.248-16.379-6.248-22.628 0l-22.627 22.627c-6.248 6.248-6.248 16.379 0 22.627l104 104c6.249 6.249 16.379 6.249 22.628.001z\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Small 17p dels<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t<\/ul>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-47c100d elementor-widget-tablet__width-inherit elementor-invisible elementor-widget elementor-widget-text-editor\" data-id=\"47c100d\" data-element_type=\"widget\" data-settings=\"{&quot;_animation&quot;:&quot;fadeInUp&quot;}\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>TP53 plays a major role in determining risk stratification in multiple myeloma. Historically only the 17p deletion has been used for this assessment . However PlasmaSEQ now classifies this at a dramatically improved resolution with the ability to detect small \u2018multi-exonic\u2019 deletions as well as the ability to detect single base pair level changes which have never been available before in a single assay.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-83b3891 elementor-icon-list--layout-traditional elementor-list-item-link-full_width elementor-invisible elementor-widget elementor-widget-icon-list\" data-id=\"83b3891\" data-element_type=\"widget\" data-settings=\"{&quot;_animation&quot;:&quot;fadeInUp&quot;}\" data-widget_type=\"icon-list.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<ul class=\"elementor-icon-list-items\">\n\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-check-circle\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M504 256c0 136.967-111.033 248-248 248S8 392.967 8 256 119.033 8 256 8s248 111.033 248 248zM227.314 387.314l184-184c6.248-6.248 6.248-16.379 0-22.627l-22.627-22.627c-6.248-6.249-16.379-6.249-22.628 0L216 308.118l-70.059-70.059c-6.248-6.248-16.379-6.248-22.628 0l-22.627 22.627c-6.248 6.248-6.248 16.379 0 22.627l104 104c6.249 6.249 16.379 6.249 22.628.001z\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">IgH breakpoint<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t<\/ul>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ae2ec0a elementor-widget-tablet__width-inherit elementor-invisible elementor-widget elementor-widget-text-editor\" data-id=\"ae2ec0a\" data-element_type=\"widget\" data-settings=\"{&quot;_animation&quot;:&quot;fadeInUp&quot;}\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>For a long time, it has been well known that the exact breakpoint of the IgH rearrangement in translocations such as 4:14 and 14:16 affects outcomes. PlasmaSEQ finally provides this information for every patient while also helping researchers better determine how best to determine therapy and design clinical trials.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f423014 elementor-icon-list--layout-traditional elementor-list-item-link-full_width elementor-invisible elementor-widget elementor-widget-icon-list\" data-id=\"f423014\" data-element_type=\"widget\" data-settings=\"{&quot;_animation&quot;:&quot;fadeInUp&quot;}\" data-widget_type=\"icon-list.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<ul class=\"elementor-icon-list-items\">\n\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-check-circle\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M504 256c0 136.967-111.033 248-248 248S8 392.967 8 256 119.033 8 256 8s248 111.033 248 248zM227.314 387.314l184-184c6.248-6.248 6.248-16.379 0-22.627l-22.627-22.627c-6.248-6.249-16.379-6.249-22.628 0L216 308.118l-70.059-70.059c-6.248-6.248-16.379-6.248-22.628 0l-22.627 22.627c-6.248 6.248-6.248 16.379 0 22.627l104 104c6.249 6.249 16.379 6.249 22.628.001z\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Immunotherapy targets- BCMA, GPRC5D, APRIL (v2)<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t<\/ul>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0221e58 elementor-widget-tablet__width-inherit elementor-invisible elementor-widget elementor-widget-text-editor\" data-id=\"0221e58\" data-element_type=\"widget\" data-settings=\"{&quot;_animation&quot;:&quot;fadeInUp&quot;}\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>With the advent of immunotherapies, it is imperative that we have assays that can work for critical genes like BCMA, GPRC5D and APRIL. Plasmaseq V2 incorporates all of these targets and serves the critical need of being able to detect abnormalities in these genes at a very low plasma cell content.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-99e13ed e-con-full the7-e-sticky-row-yes e-flex e-con e-child\" data-id=\"99e13ed\" data-element_type=\"container\" data-settings=\"{&quot;the7_sticky_row&quot;:&quot;yes&quot;,&quot;the7_sticky_row_devices&quot;:[&quot;desktop&quot;],&quot;the7_sticky_parent&quot;:&quot;yes&quot;,&quot;the7_sticky_row_offset&quot;:0,&quot;the7_sticky_parent_bottom_offset&quot;:0}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-21a62b7 elementor-invisible elementor-widget elementor-widget-image\" data-id=\"21a62b7\" data-element_type=\"widget\" data-settings=\"{&quot;_animation&quot;:&quot;fadeInRight&quot;}\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"1000\" height=\"800\" src=\"https:\/\/www.ncgmus.com\/plasmaseq\/wp-content\/uploads\/2024\/10\/responsive-banner.webp\" class=\"attachment-full size-full wp-image-209\" alt=\"\" srcset=\"https:\/\/www.ncgmus.com\/plasmaseq\/wp-content\/uploads\/2024\/10\/responsive-banner.webp 1000w, https:\/\/www.ncgmus.com\/plasmaseq\/wp-content\/uploads\/2024\/10\/responsive-banner-300x240.webp 300w, https:\/\/www.ncgmus.com\/plasmaseq\/wp-content\/uploads\/2024\/10\/responsive-banner-768x614.webp 768w\" sizes=\"(max-width: 1000px) 100vw, 1000px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>You are here: Home Page Comparison with Conventional Testing Biallelic 1p del 1p deletions involving the CDKN2C gene are critical in defining risk in multiple myeloma. Though FISH is able to identify multiple myeloma 1p deletions, it is often challenging for it to detect bi-allelic deletions which indicate deletions of both copies of the gene.&hellip;<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"elementor_header_footer","meta":{"footnotes":""},"class_list":["post-423","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.8 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>PlasmaSeq Technology \u2013 Cutting-Edge NGS for Myeloma<\/title>\n<meta name=\"description\" content=\"Discover the advanced NGS technology behind PlasmaSeq, enabling precise detection of mutations, CNVs, and IGH translocations in Multiple Myeloma.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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