{"id":28220,"date":"2026-08-24T09:49:03","date_gmt":"2026-08-24T09:49:03","guid":{"rendered":"https:\/\/www.dlongwood.com\/?post_type=productos&#038;p=28220"},"modified":"2026-08-24T09:53:19","modified_gmt":"2026-08-24T09:53:19","slug":"msk-impact-msk-impact-flex","status":"publish","type":"productos","link":"https:\/\/www.dlongwood.com\/en\/product-catalog\/msk-impact-msk-impact-flex\/","title":{"rendered":"MSK-IMPACT\u00ae \/ MSK-IMPACT\u00ae FLEX"},"content":{"rendered":"\n<!-- Complete HTML ready for WordPress \/ Bricks -->\n<style>\n.dlw-prod-wrapper{\n  --dlw-blue-dark:#003a70;\n  --dlw-blue-cyan:#00a1e0;\n  --dlw-light-bg:#f9fbfd;\n  --dlw-grey-bg:#f4f6f8;\n  --dlw-border:#e1e8f0;\n  --dlw-grey:#939598;\n  width:100%!important;\n  max-width:720px!important;\n  margin:0 auto!important;\n  color:#24364b;\n  font-family:\"Raleway\",Arial,sans-serif;\n  font-size:16px;\n  line-height:1.7;\n}\n.dlw-prod-wrapper *{box-sizing:border-box}\n.dlw-prod-wrapper h2,\n.dlw-prod-wrapper h3{\n  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line-height:1;\n}\nbody.dlw-no-scroll{overflow:hidden!important}\n\n@media (max-width:768px){\n  .dlw-prod-wrapper{\n    width:100%!important;\n    font-size:15px;\n  }\n  .dlw-prod-wrapper h2{font-size:25px!important}\n  .dlw-prod-wrapper h3{font-size:21px!important}\n  .dlw-prod-wrapper p{text-align:left}\n  .dlw-intro{padding:19px;font-size:16px}\n  .dlw-prod-img{max-width:100%!important}\n  .dlw-section{margin-bottom:38px}\n\n  .dlw-table,\n  .dlw-table tbody,\n  .dlw-table tr,\n  .dlw-table td,\n  .dlw-table th{\n    display:block;\n    width:100%!important;\n  }\n  .dlw-table thead{display:none}\n  .dlw-table tr{\n    margin-bottom:18px;\n    overflow:hidden;\n    border:1px solid var(--dlw-border);\n    border-radius:8px;\n    background:#fff;\n  }\n  .dlw-table tbody th{\n    padding:13px 15px;\n    border:0;\n    border-bottom:1px solid var(--dlw-border);\n    background:var(--dlw-blue-dark);\n    color:#fff;\n  }\n  .dlw-table td{\n    padding:14px 15px;\n    border:0;\n    border-bottom:1px solid var(--dlw-border);\n  }\n  .dlw-table td:last-child{border-bottom:0}\n  .dlw-table td::before{\n    display:block;\n    margin-bottom:6px;\n    color:var(--dlw-blue-dark);\n    font-size:12px;\n    font-weight:700;\n    text-transform:uppercase;\n  }\n  .dlw-compare-table td:nth-of-type(1)::before{content:\"MSK-IMPACT\u00ae Standard\"}\n  .dlw-compare-table td:nth-of-type(2)::before{content:\"MSK-IMPACT\u00ae FLEX\"}\n  .dlw-gene-table td:nth-of-type(1)::before{content:\"Category\"}\n  .dlw-gene-table td:nth-of-type(2)::before{content:\"Gene list \/ details\"}\n  .dlw-gene-list{font-size:12px}\n}\n<\/style>\n\n<div class=\"dlw-prod-wrapper\">\n\n  <!-- EDITORIAL REVIEW: The source contains figures that should be verified before publication: 523 versus 533 FLEX genes; 135 versus 140 RNA genes; and 491\/520 genes for CNV analysis. The original information has been retained without correction. -->\n\n  <div class=\"dlw-intro\">\n    Decentralised, in-house comprehensive genomic profiling (CGP) solution for solid tumours, based on hybrid capture next-generation sequencing (NGS). Developed in collaboration with Memorial Sloan Kettering Cancer Center (MSK), it features a robust matched tumour-normal sequencing approach for filtering germline variants and clonal haematopoiesis.\n  <\/div>\n\n  <section class=\"dlw-section\">\n    <h2>Detailed description<\/h2>\n    <h3>Operating principle<\/h3>\n\n    <p>The decentralised MSK-IMPACT\u00ae powered with SOPHiA DDM&#x2122; solution enables laboratories to implement locally the renowned genomic profiling assay developed by MSKCC, while retaining full control over their samples and data.<\/p>\n\n    <p>The assay is built around its matched tumour-normal sequencing approach. It jointly processes tumour DNA from FFPE tissue and the patient\u2019s own normal DNA, obtained from peripheral blood leukocytes (WBC). This dual analytical strategy enables accurate discrimination between true somatic variants and germline variants \u2014identifying hereditary cancer predisposition\u2014 while excluding biological noise caused by clonal haematopoiesis of indeterminate potential (CHIP). Sequencing of the normal component is highly efficient, requiring only 25% of the total sequencing-run read capacity.<\/p>\n\n    <p>The assay chemistry uses targeted hybrid capture enrichment. Library preparation incorporates CUMIN\u00ae molecular labelling technology \u2014molecular barcodes\u2014 to maximise detection sensitivity and mitigate sequencing artefacts. Secondary and tertiary bioinformatic analysis is fully integrated into the SOPHiA DDM&#x2122; platform, which implements high-precision proprietary algorithms including:<\/p>\n\n    <div class=\"dlw-list\">\n      <span class=\"dlw-list-item\"><strong>MUSTARD&#x2122;:<\/strong> optimised for estimating tumour mutational burden (TMB) and microsatellite instability (MSI).<\/span>\n      <span class=\"dlw-list-item\"><strong>CARDAMOM&#x2122;:<\/strong> designed to detect gene fusions directly from DNA data.<\/span>\n      <span class=\"dlw-list-item\"><strong>MUSKAT&#x2122;:<\/strong> designed for accurate determination of copy number variations (CNVs).<\/span>\n    <\/div>\n\n    <img decoding=\"async\"\n      src=\"https:\/\/www.dlongwood.com\/wp-content\/uploads\/2026\/08\/1-eng-3.webp\"\n      alt=\"MSK-IMPACT powered with SOPHiA DDM workflow\"\n      class=\"dlw-prod-img\"\n      loading=\"lazy\"\n      onclick=\"openDlwModal(this.src,this.alt)\"\n    >\n  <\/section>\n\n  <section class=\"dlw-section\">\n    <h2>MSK-IMPACT\u00ae Standard vs. MSK-IMPACT\u00ae FLEX<\/h2>\n\n    <p>The solution is available in two configurations to meet the structure and requirements of each laboratory:<\/p>\n\n    <div class=\"dlw-table-wrap\">\n      <table class=\"dlw-table dlw-compare-table\">\n        <thead>\n          <tr>\n            <th scope=\"col\">Feature<\/th>\n            <th scope=\"col\">MSK-IMPACT\u00ae Standard<\/th>\n            <th scope=\"col\">MSK-IMPACT\u00ae FLEX<\/th>\n          <\/tr>\n        <\/thead>\n        <tbody>\n          <tr>\n            <th scope=\"row\">Analytical strategy<\/th>\n            <td><strong>Matched tumour-normal<\/strong><br>Requires a control sample from the same patient.<\/td>\n            <td><strong>Tumour-only<\/strong><br>Does not require a normal blood sample or matched control.<\/td>\n          <\/tr>\n          <tr>\n            <th scope=\"row\">Required sample types<\/th>\n            <td>Tumour tissue (FFPE) + whole blood\/leukocytes (WBC).<\/td>\n            <td>Tumour tissue only (FFPE or fresh-frozen).<\/td>\n          <\/tr>\n          <tr>\n            <th scope=\"row\">Genomic content (DNA)<\/th>\n            <td>505 cancer-associated genes.<\/td>\n            <td>533 genes: 505 genes from the core panel + 28 additional genes based on clinical guidelines and trials.<\/td>\n          <\/tr>\n          <tr>\n            <th scope=\"row\">RNA module<\/th>\n            <td>Not available. Fusion detection is limited to DNA targets in 23 genes.<\/td>\n            <td>140 genes for partner-agnostic fusion, expression and exon-skipping analysis.<\/td>\n          <\/tr>\n          <tr>\n            <th scope=\"row\">HRD assessment<\/th>\n            <td>Not available.<\/td>\n            <td>Genomic instability analysis using lpWGS and the GIInger&#x2122; algorithm.<\/td>\n          <\/tr>\n          <tr>\n            <th scope=\"row\">Somatic-germline differentiation<\/th>\n            <td><strong>Physical and patient-specific:<\/strong> direct exclusion by subtracting DNA from the patient\u2019s normal WBC sample.<\/td>\n            <td><strong>Bioinformatic:<\/strong> filtering using advanced population databases \u2014gnomAD, etc.\u2014 and platform algorithms.<\/td>\n          <\/tr>\n          <tr>\n            <th scope=\"row\">Clonal haematopoiesis (CHIP) filtering<\/th>\n            <td><strong>Physical and highly accurate:<\/strong> completely removes CHIP false positives by directly sequencing the patient\u2019s leukocytes (WBC).<\/td>\n            <td><strong>Bioinformatic modelling:<\/strong> relies on database filtering and noise-modelling algorithms without a direct haematological control.<\/td>\n          <\/tr>\n        <\/tbody>\n      <\/table>\n    <\/div>\n\n    <img decoding=\"async\"\n      src=\"https:\/\/www.dlongwood.com\/wp-content\/uploads\/2026\/08\/2-eng-1.webp\"\n      alt=\"Comparison between MSK-IMPACT Standard and MSK-IMPACT FLEX\"\n      class=\"dlw-prod-img\"\n      loading=\"lazy\"\n      onclick=\"openDlwModal(this.src,this.alt)\"\n    >\n  <\/section>\n\n  <section class=\"dlw-section\">\n    <h2>Complete gene list<\/h2>\n\n    <div class=\"dlw-table-wrap\">\n      <table class=\"dlw-table dlw-gene-table\">\n        <thead>\n          <tr>\n            <th scope=\"col\">Panel \/ source<\/th>\n            <th scope=\"col\">Category<\/th>\n            <th scope=\"col\">Gene list \/ extracted details<\/th>\n          <\/tr>\n        <\/thead>\n        <tbody>\n          <tr>\n            <th scope=\"row\">IMPACT<\/th>\n            <td>SNVs\/indels in 505 genes \u2014original MSK-IMPACT\u00ae panel\u2014<\/td>\n            <td class=\"dlw-gene-list\">ABL1, ABRAXAS1, ACVR1, AGO1, AGO2, AKT1, AKT2, AKT3, ALB, ALK, ALOX12B, AMER1, ANKRD11, APC, APLNR, AR, ARAF, ARHGAP35, ARID1A, ARID1B, ARID2, ARID5B, ASXL1, ASXL2, ATM, ATR, ATRX, ATXN7, AURKA, AURKB, AXIN1, AXIN2, AXL, B2M, BABAM1, BAP1, BARD1, BBC3, BCL10, BCL2, BCL2L1, BCL2L11, BCL6, BCOR, BIRC3, BLM, BMPR1A, BRAF, BRCA1, BRCA2, BRD4, BRIP1, BTK, CALR, CARD11, CARM1, CASP8, CBFB, CBL, CCND1, CCND2, CCND3, CCNE1, CCNQ, CD274, CD276, CD79A, CD79B, CDC42, CDC73, CDH1, CDK12, CDK4, CDK6, CDK8, CDKN1A, CDKN1B, CDKN2A, CDKN2B, CDKN2C, CEBPA, CENPA, CHEK1, CHEK2, CIC, CMTR2, COP1, CREBBP, CRKL, CRLF2, CSDE1, CSF1R, CSF3R, CTCF, CTLA4, CTNNB1, CTR9, CUL3, CXCR4, CXorf67, CYLD, CYP19A1, CYSLTR2, DAXX, DCUN1D1, DDR2, DICER1, DIS3, DNAJB1, DNMT1, DNMT3A, DNMT3B, DOT1L, DROSHA, DUSP4, E2F3, EED, EGFL7, EGFR, EIF1AX, EIF4A2, EIF4E, ELF3, ELOC, EP300, EPAS1, EPCAM, EPHA3, EPHA5, EPHA7, EPHB1, ERBB2, ERBB3, ERBB4, ERCC2, ERCC3, ERCC4, ERCC5, ERF, ERG, ERRFI1, ESR1, ETAA1, ETV1, ETV6, EZH1, EZH2, FANCA, FANCC, FAT1, FBXW7, FGF19, FGF3, FGF4, FGFR1, FGFR2, FGFR3, FGFR4, FH, FLCN, FLT1, FLT3, FLT4, FOXA1, FOXF1, FOXL2, FOXO1, FOXP1, FUBP1, FYN, GAB1, GAB2, GATA1, GATA2, GATA3, GLI1, GNA11, GNAQ, GNAS, GNB1, GPS2, GREM1, GRIN2A, GSK3B, H3F3A, H3F3B, H3F3C, HGF, HIST1H1C, HIST1H2BD, HIST1H3A, HIST1H3B, HIST1H3C, HIST1H3D, HIST1H3E, HIST1H3F, HIST1H3G, HIST1H3H, HIST1H3I, HIST1H3J, HIST2H3C, HIST2H3D, HIST3H3, HLA-A, HLA-B, HLA-C, HNF1A, HOXB13, HRAS, ICOSLG, ID3, IDH1, IDH2, IFNGR1, IGF1, IGF1R, IGF2, IKBKE, IKZF1, IL10, IL7R, INHA, INHBA, INPP4A, INPP4B, INPPL1, INSR, IRF4, IRS1, IRS2, JAK1, JAK2, JAK3, JUN, KBTBD4, KDM5A, KDM5C, KDM6A, KDR, KEAP1, KIT, KLF4, KLF5, KMT2A, KMT2B, KMT2C, KMT2D, KMT5A, KNSTRN, KRAS, LATS1, LATS2, LMO1, LYN, LZTR1, MAD2L2, MALT1, MAP2K1, MAP2K2, MAP2K4, MAP3K1, MAP3K13, MAP3K14, MAPK1, MAPK3, MAPKAP1, MAX, MCL1, MDC1, MDM2, MDM4, MED12, MEF2B, MEN1, MET, MGA, MITF, MLH1, MLLT1, MPL, MRE11, MSH2, MSH3, MSH6, MSI1, MSI2, MST1, MST1R, MTAP, MTOR, MUTYH, MYC, MYCL, MYCN, MYD88, MYOD1, NADK, NBN, NCOA3, NCOR1, NEGR1, NF1, NF2, NFE2L2, NFKBIA, NKX2-1, NKX3-1, NOTCH1, NOTCH2, NOTCH3, NOTCH4, NPM1, NRAS, NSD1, NSD2, NSD3, NTHL1, NTRK1, NTRK2, NTRK3, NUF2, NUP93, PAK1, PAK5, PALB2, PARP1, PAX5, PBRM1, PDCD1, PDCD1LG2, PDGFRA, PDGFRB, PDPK1, PGBD5, PGR, PHF6, PHOX2B, PIK3C2G, PIK3C3, PIK3CA, PIK3CB, PIK3CD, PIK3CG, PIK3R1, PIK3R2, PIK3R3, PIM1, PLCG2, PLK2, PMAIP1, PMS1, PMS2, PNRC1, POLD1, POLE, POT1, PPARG, PPM1D, PPP2R1A, PPP4R2, PPP6C, PRDM1, PRDM14, PREX2, PRKAR1A, PRKCI, PRKD1, PRKN, PTCH1, PTEN, PTP4A1, PTPN11, PTPRD, PTPRS, PTPRT, RAB35, RAC1, RAC2, RAD21, RAD50, RAD51, RAD51B, RAD51C, RAD51D, RAD52, RAD54L, RAF1, RARA, RASA1, RB1, RBM10, RECQL, RECQL4, REL, REST, RET, RHEB, RHOA, RICTOR, RIT1, RNF43, ROS1, RPS6KA4, RPS6KB2, RPTOR, RRAGC, RRAS, RRAS2, RTEL1, RUNX1, RXRA, RYBP, SCG5, SDHA, SDHAF2, SDHB, SDHC, SDHD, SERPINB3, SERPINB4, SESN1, SESN2, SESN3, SETD2, SETDB1, SF3B1, SH2B3, SH2D1A, SHOC2, SHQ1, SLFN11, SLX4, SMAD2, SMAD3, SMAD4, SMARCA2, SMARCA4, SMARCB1, SMARCD1, SMARCE1, SMO, SMYD3, SOCS1, SOS1, SOX17, SOX2, SOX9, SPEN, SPOP, SPRED1, SPRTN, SRC, SRSF2, STAG2, STAT3, STAT5A, STAT5B, STK11, STK19, STK40, SUFU, SUZ12, SYK, TAP1, TAP2, TBX3, TCF3, TCF7L2, TEK, TENT5C, TERT, TET1, TET2, TGFBR1, TGFBR2, TMEM127, TMPRSS2, TNFAIP3, TNFRSF14, TOP1, TP53, TP53BP1, TP63, TRAF2, TRAF7, TRIP13, TSC1, TSC2, TSHR, U2AF1, UPF1, USP8, VEGFA, VHL, VTCN1, WT1, WWTR1, XIAP, XPO1, XRCC2, YAP1, YES1, ZFHX3, ZNRF3, ZRSR2<\/td>\n          <\/tr>\n\n          <tr>\n            <th scope=\"row\">IMPACT FLEX<\/th>\n            <td>SNVs\/indels in 523 genes: 505 MSK-IMPACT genes + 28 additional FLEX genes<\/td>\n            <td class=\"dlw-gene-list\">ASS1, BCORL1, C11orf95, CD58, DDR1, DPYD, FANCB, FANCD2, FANCE, FANCF, FANCG, FANCI, FANCL, FANCM, FAS, FGF23, GEN1, GNA13, HDAC2, IDO2, LDB1, PML, PPP2R2A, PRPF8, STAT6, TFE3, UGT1A1, USH2A<\/td>\n          <\/tr>\n\n          <tr>\n            <th scope=\"row\">BOTH<\/th>\n            <td>Whole-gene amplifications and deletions in 491 genes<\/td>\n            <td class=\"dlw-gene-list\">All panel genes EXCEPT: H3F3B, HIST1H3A, HIST1H3D, HIST1H3E, HIST1H3F, HIST1H3G, HIST1H3H, HIST1H3I, HIST1H3J, HIST2H3C, HIST2H3D, HLA-A, HLA-C, NOTCH2. Note: the initial 520-gene image excluded 13 genes; according to the updated Fact Sheet, 14 genes are excluded.<\/td>\n          <\/tr>\n\n          <tr>\n            <th scope=\"row\">BOTH<\/th>\n            <td>Gene- and exon-level copy number variations (CNVs) in 49 genes<\/td>\n            <td class=\"dlw-gene-list\">APC, ARID1A, ATM, BAP1, BARD1, BRCA1, BRCA2, BRIP1, CDH1, CDK12, CHEK1, CHEK2, DICER1, EGFR, EPCAM, FANCA, FANCD2, FANCL, FH, FLCN, MET, MLH1, MRE11, MSH2, MSH6, NBN, NF1, NF2, PALB2, PMS2, PPP2R2A, PTCH1, PTEN, RAD51B, RAD51C, RAD51D, RAD54L, RB1, SDHA, SDHB, SDHC, SMARCA4, SMARCB1, STK11, SUFU, TP53, TSC1, TSC2, WT1<\/td>\n          <\/tr>\n\n          <tr>\n            <th scope=\"row\">IMPACT FLEX RNA MODULE<\/th>\n            <td>Partner-agnostic fusions in 135 genes<\/td>\n            <td class=\"dlw-gene-list\">ACVR2A, AKT1, AKT2, AKT3, ALK, ARHGA-P26, ARHGA-P6, AR, AXL, BCOR, BRAF, BRD3, BRD4, CAMTA1, CCNB3, CCND1, CHMP2A, CIC, CRTC1, CSF1, CSF1R, CTNNB1, DNAJB1, EGF, EGFR, EPC1, ERBB2, ERBB4, ERG, ESR1, ESRRA, ETV1, ETV4, ETV5, ETV6, EWSR1, FGF1, FGFR1, FGFR2, FGFR3, FGR, FOSB, FOS, FOXO1, FOXO4, FUS, GLI1, GRB7, GREB1, HMGA2, IGF1R, INSR, JAK2, JAK3, JAZF1, KANSL1, KIT, KRAS, MAML2, MAP2K1, MAP3K8, MAST1, MAST2, MBTD1, MDM2, MEAF6, MET, MGEA5, MKL2, MN1, MSMB, MUSK, MYBL1, MYB, MYC, MYOD1, NCOA1, NCOA2, NCOA3, NFATC2, NFE2L2, NFIB, NOTCH1, NOTCH2, NR4A3, NRG1, NTRK1, NTRK2, NTRK3, NUMBL, NUTM1, PAX3, PAX8, PDGFB, PDGFD, PDGFRA, PDGFRB, PHF1, PHKB, PIK3CA, PKN1, PLAG1, PPARG, PRDM10, PRKACA, PRKACB, PRKCA, PRKCB, PRKCD, PRKD1, PRKD2, PRKD3, RAD51B, RAF1, RELA, RET, ROS1, RSPO2, RSPO3, SS18L1, SS18, STAT6, TAF15, TCF12, TERT, TFE3, TFEB, TFG, THADA, TMPRSS2, USP6, VGLL2, WWTR1, YAP1, YWHAE<\/td>\n          <\/tr>\n\n          <tr>\n            <th scope=\"row\">IMPACT FLEX RNA MODULE<\/th>\n            <td>Exon skipping in 9 genes<\/td>\n            <td class=\"dlw-gene-list\">ALK (ex2-17, ex2-3), ARvII (ex4-8), BRAF (ex2-10, ex4-10, ex2-8, ex3-8, ex4-8), EGFRvIII (ex2-7), ERBB2 (ex16), MET (ex14, ex15), NFE2L2 (ex2, ex3), NOTCH1 (ex2-27, ex3-27, ex3-28, ex21-27), PDGFRA (ex8-9). Kinase-domain ITD \u2014internal tandem duplication\u2014: BRAF (ex10-18), EGFRvIII (ex18-25).<\/td>\n          <\/tr>\n\n          <tr>\n            <th scope=\"row\">IMPACT FLEX RNA MODULE<\/th>\n            <td>Gene expression in 56 genes<\/td>\n            <td class=\"dlw-gene-list\">AKT1, AKT3, ALK, ALPK1, ARHGA-P26, BCOR, BRAF, CSF1, CTNNB1, DICER1, EGFR, ERBB2, ERG, ESR1, ETV1, ETV4, FGFR1, FGFR2, FGFR3, FUS, HMGA2, HRAS, JAK2, JAK3, KRAS, MAP2K1, MDM2, MET, MYBL1, MYOD1, NCOA1, NFE2L2, NFIB, NOTCH1, NRAS, NRG1, NTRK1, NTRK2, NTRK3, PDGFRA, PIK3CA, PKN1, PRKACA, PRKACB, PRKCD, RAD51B, RAF1, RET, ROS1, SS18L1, SS18, STAT6, TCF12, TFE3, THADA, YAP1<\/td>\n          <\/tr>\n\n          <tr>\n            <th scope=\"row\">IMPACT FLEX HRD MODULE<\/th>\n            <td>Genomic instability assessment<\/td>\n            <td class=\"dlw-gene-list\">Low-pass genome sequencing + SOPHiA DDM&#x2122; GIInger&#x2122; pipeline.<\/td>\n          <\/tr>\n        <\/tbody>\n      <\/table>\n    <\/div>\n  <\/section>\n\n  <section class=\"dlw-section\">\n    <h2>Clinical applications<\/h2>\n\n    <div class=\"dlw-list\">\n      <span class=\"dlw-list-item\">Characterisation of actionable somatic alterations across multiple solid tumour types \u2014pan-cancer\u2014 from competitive minimum inputs.<\/span>\n      <span class=\"dlw-list-item\">Analysis of complex biomarkers.<\/span>\n      <span class=\"dlw-list-item\">Precision oncology and clinical-trial matching.<\/span>\n    <\/div>\n  <\/section>\n\n  <section class=\"dlw-section\">\n    <h2>Intended users<\/h2>\n\n    <p>Molecular diagnostic laboratories, hospital pathology departments, translational oncology centres and oncology research institutions.<\/p>\n  <\/section>\n\n  <section class=\"dlw-section\">\n    <h2>Key features<\/h2>\n\n    <div class=\"dlw-list\">\n      <span class=\"dlw-list-item\">Analytical coverage of 505 genes with the standard solution or up to 533 genes with FLEX for the detection of SNVs, indels and copy number variations (CNVs).<\/span>\n\n      <span class=\"dlw-list-item\">Detection of CNVs \u2014whole-gene amplifications and deletions\u2014 in 491 genes with the standard solution or 520 genes with FLEX, complemented by detailed exon-level analysis of 49 key genes.<\/span>\n\n      <span class=\"dlw-list-item\">Additional modules exclusive to FLEX: partner-agnostic fusion analysis in 135 RNA genes, gene-expression analysis in 56 genes and exon-skipping analysis in 9 genes.<\/span>\n\n      <span class=\"dlw-list-item\">Optional genomic instability module for FLEX, enabling HRD assessment through low-pass whole-genome sequencing (lpWGS) processed using GIInger&#x2122; technology.<\/span>\n\n      <span class=\"dlw-list-item\">\n        <strong>Highly robust analytical performance:<\/strong>\n        <span class=\"dlw-sublist\">\n          <span>Clinical sensitivity and specificity for SNVs\/indels: PPA of 99.3%.<\/span>\n          <span>MSI concordance: OPA of 99.4%.<\/span>\n          <span>TMB concordance: OPA of 98.8%.<\/span>\n          <span>CNV concordance: PPA of 95.2%.<\/span>\n        <\/span>\n      <\/span>\n    <\/div>\n  <\/section>\n\n  <section class=\"dlw-section\">\n    <h2>Product details<\/h2>\n\n    <div class=\"dlw-meta\">\n      <div class=\"dlw-meta-row\">\n        <span class=\"dlw-meta-label\">Commercial name:<\/span>\n        MSK-IMPACT\u00ae \/ MSK-IMPACT\u00ae FLEX powered with SOPHiA DDM&#x2122;.\n      <\/div>\n\n      <div class=\"dlw-meta-row\">\n        <span class=\"dlw-meta-label\">Product type:<\/span>\n        Combined solution \u2014hybridisation and capture wet-lab reagent kit + analytical access to the SOPHiA DDM&#x2122; web platform\u2014.\n      <\/div>\n\n      <div class=\"dlw-meta-row\">\n        <span class=\"dlw-meta-label\">Product family:<\/span>\n        Decentralised CGP solution (<em>Comprehensive Genomic Profiling<\/em>).\n      <\/div>\n    <\/div>\n\n    <h3>Product codes<\/h3>\n\n    <div class=\"dlw-list\">\n      <span class=\"dlw-list-item\"><strong>MSK-IMPACT\u00ae Standard:<\/strong> BS0126ILLRGSY13.<\/span>\n      <span class=\"dlw-list-item\"><strong>MSK-IMPACT\u00ae FLEX \u2014DNA module\u2014:<\/strong> BS0132ILLRSMY13. Kit sizes: 16, 32, 48 and 96 samples.<\/span>\n      <span class=\"dlw-list-item\"><strong>MSK-IMPACT\u00ae FLEX \u2014RNA module\u2014:<\/strong> CS2517ILLRSRY16. Sizes: 16, 32 and 48; and CS2517ILBRSRY16, size: 96.<\/span>\n      <span class=\"dlw-list-item\"><strong>GIInger&#x2122; \u2014lpWGS dry-lab analysis for HRD\u2014:<\/strong> DL0121ILLRSM. Dry-lab service.<\/span>\n    <\/div>\n\n    <h3>What does the solution include?<\/h3>\n\n    <div class=\"dlw-list\">\n      <span class=\"dlw-list-item\">Universal Library Prep library-preparation kit, with CUMIN\u00ae molecular barcodes for FLEX.<\/span>\n      <span class=\"dlw-list-item\">Hybridisation and targeted capture reagents and probes, with a design curated by MSKCC.<\/span>\n      <span class=\"dlw-list-item\">Analysis and interpretation credits for the SOPHiA DDM&#x2122; platform.<\/span>\n    <\/div>\n\n    <h3>Required reagents and materials not included<\/h3>\n\n    <div class=\"dlw-list\">\n      <span class=\"dlw-list-item\">DNA extraction kits for FFPE samples.<\/span>\n      <span class=\"dlw-list-item\">RNA extraction kits for FFPE samples.<\/span>\n      <span class=\"dlw-list-item\">Equipment and reagents for DNA\/RNA quality control and fluorometric quantification \u2014Qubit, TapeStation or equivalent\u2014.<\/span>\n      <span class=\"dlw-list-item\">Sequencing reagents specific to Illumina platforms and Illumina PhiX v3 control.<\/span>\n    <\/div>\n  <\/section>\n\n  <div class=\"dlw-modal\" role=\"dialog\" aria-modal=\"true\" aria-label=\"Enlarged image\">\n    <button class=\"dlw-modal-close\" type=\"button\" aria-label=\"Close image\">&times;<\/button>\n    <img decoding=\"async\" class=\"dlw-modal-image\" src=\"\" alt=\"\" title=\"\">\n  <\/div>\n<\/div>\n\n<script>\n(function(){\n  var modal;\n  var modalImage;\n  var closeButton;\n\n  window.openDlwModal=function(src,alt){\n    modal=document.querySelector(\".dlw-prod-wrapper .dlw-modal\");\n    if(!modal)return;\n\n    modalImage=modal.querySelector(\".dlw-modal-image\");\n    closeButton=modal.querySelector(\".dlw-modal-close\");\n\n    modalImage.src=src;\n    modalImage.alt=alt||\"\";\n    modal.classList.add(\"dlw-modal-open\");\n    document.body.classList.add(\"dlw-no-scroll\");\n    closeButton.focus();\n  };\n\n  function closeDlwModal(){\n    if(!modal){\n      modal=document.querySelector(\".dlw-prod-wrapper .dlw-modal\");\n    }\n    if(!modal)return;\n\n    modalImage=modal.querySelector(\".dlw-modal-image\");\n    modal.classList.remove(\"dlw-modal-open\");\n    modalImage.src=\"\";\n    modalImage.alt=\"\";\n    document.body.classList.remove(\"dlw-no-scroll\");\n  }\n\n  document.addEventListener(\"click\",function(event){\n    if(event.target.matches(\".dlw-modal-close\")||event.target.matches(\".dlw-modal\")){\n      closeDlwModal();\n    }\n  });\n\n  document.addEventListener(\"keydown\",function(event){\n    if(event.key===\"Escape\"){\n      closeDlwModal();\n    }\n  });\n})();\n<\/script>\n","protected":false},"excerpt":{"rendered":"<p>Decentralised, in-house comprehensive genomic profiling (CGP) solution for solid tumours, based on hybrid capture next-generation sequencing (NGS). Developed in collaboration with Memorial Sloan Kettering Cancer Center (MSK), it features a robust matched tumour-normal sequencing approach for filtering germline variants and clonal haematopoiesis. Detailed description Operating principle The decentralised MSK-IMPACT\u00ae powered with SOPHiA DDM&#x2122; solution enables [&hellip;]<\/p>\n","protected":false},"featured_media":28212,"template":"","tecnologias":[36],"marcas":[215],"familias":[347,465,466,461,467,462,468,469,458,470,464],"class_list":["post-28220","productos","type-productos","status-publish","has-post-thumbnail","hentry","tecnologias-next-generation-sequencing-ngs","marcas-sophia-genetics-en","familias-solid-tumor","familias-digestive-system","familias-endocrine-system","familias-hrd-en","familias-nervous-system","familias-pan-cancer","familias-reproductive-system","familias-respiratory-system","familias-skin","familias-soft-tissues","familias-tumor-types"],"_links":{"self":[{"href":"https:\/\/www.dlongwood.com\/en\/wp-json\/wp\/v2\/productos\/28220","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.dlongwood.com\/en\/wp-json\/wp\/v2\/productos"}],"about":[{"href":"https:\/\/www.dlongwood.com\/en\/wp-json\/wp\/v2\/types\/productos"}],"version-history":[{"count":1,"href":"https:\/\/www.dlongwood.com\/en\/wp-json\/wp\/v2\/productos\/28220\/revisions"}],"predecessor-version":[{"id":28221,"href":"https:\/\/www.dlongwood.com\/en\/wp-json\/wp\/v2\/productos\/28220\/revisions\/28221"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.dlongwood.com\/en\/wp-json\/wp\/v2\/media\/28212"}],"wp:attachment":[{"href":"https:\/\/www.dlongwood.com\/en\/wp-json\/wp\/v2\/media?parent=28220"}],"wp:term":[{"taxonomy":"tecnologias","embeddable":true,"href":"https:\/\/www.dlongwood.com\/en\/wp-json\/wp\/v2\/tecnologias?post=28220"},{"taxonomy":"marcas","embeddable":true,"href":"https:\/\/www.dlongwood.com\/en\/wp-json\/wp\/v2\/marcas?post=28220"},{"taxonomy":"familias","embeddable":true,"href":"https:\/\/www.dlongwood.com\/en\/wp-json\/wp\/v2\/familias?post=28220"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}