{"id":28164,"date":"2026-08-24T09:11:32","date_gmt":"2026-08-24T09:11:32","guid":{"rendered":"https:\/\/www.dlongwood.com\/?post_type=productos&#038;p=28164"},"modified":"2026-08-24T09:15:04","modified_gmt":"2026-08-24T09:15:04","slug":"community-solutions-for-solid-tumors","status":"publish","type":"productos","link":"https:\/\/www.dlongwood.com\/en\/product-catalog\/community-solutions-for-solid-tumors\/","title":{"rendered":"Community Solutions for Solid Tumors"},"content":{"rendered":"\n<!-- Complete HTML ready for WordPress \/ Bricks -->\n\n<!--\nTECHNICAL REVIEW REQUIRED:\nThe text initially states 2 days for the DNA+RNA workflow, but later states\n2.5 days. 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text-transform: uppercase !important;\n    }\n}\n<\/style>\n\n<div class=\"dlw-prod-wrapper\">\n\n    <div class=\"dlw-intro\">\n        <p>\n            A portfolio of pre-designed and optimised NGS solutions based on\n            hybrid-capture technology for comprehensive analysis of biomarkers\n            associated with solid tumours from DNA and RNA. Designed by genomic\n            experts to simplify in-house implementation and accelerate cancer\n            research, these applications integrate natively with the analytical\n            and interpretative capabilities of the cloud-based SOPHiA DDM&#x2122;\n            platform.\n        <\/p>\n\n        <p>\n            They provide excellent coverage uniformity and on-target rates for\n            the detection of SNVs, Indels, CNVs, MSI and RNA fusions, reducing\n            design and validation times through standardised wet-lab workflows:\n            1.5 days for DNA and 2 days for DNA+RNA.\n        <\/p>\n    <\/div>\n\n    <h2>Detailed description<\/h2>\n\n    <h3>Principle of operation<\/h3>\n\n    <p>\n        The cSTS solutions comprise a versatile range of targeted hybrid-capture\n        panels designed to adapt to the requirements of each laboratory.\n    <\/p>\n\n    <p>\n        The protocol can be flexibly adapted to each laboratory\u2019s analytical\n        requirements. It uses Universal Library Prep with a minimum DNA input\n        of only 10 ng and a recommended input of 50 ng.\n    <\/p>\n\n    <p>\n        For laboratories requiring comprehensive molecular profiling and\n        interpretation, the <strong>Plus (DNA &amp; RNA)<\/strong> versions\n        simultaneously integrate RNA\/cDNA library preparation with an equivalent\n        minimum input of 10 ng and a recommended input of 50 ng. The wet-lab\n        workflow is physically combined from the hybridisation and pooled capture\n        enrichment stage onwards.\n    <\/p>\n\n    <div class=\"dlw-prod-img-wrap\">\n        <img decoding=\"async\"\n            src=\"https:\/\/www.dlongwood.com\/wp-content\/uploads\/2026\/08\/1-eng.webp\"\n            alt=\"SOPHiA DDM solid tumour solution workflow\"\n            class=\"dlw-prod-img\"\n            onclick=\"openDlwModal(this.src, this.alt)\"\n        >\n    <\/div>\n\n    <p>\n        Raw data are analysed fully automatically on the SOPHiA DDM&#x2122; platform.\n        The solution provides deep molecular annotation and pathogenicity\n        pre-classification according to AMP\/ASCO\/CAP guidelines. The variant\n        viewer supports virtual panels and cascading filters, allowing the\n        analysis to focus exclusively on variants with clinical or biological\n        relevance to the disease under investigation.\n    <\/p>\n\n    <p>\n        This portfolio comprises six different kits:\n    <\/p>\n\n    <div class=\"dlw-table-scroll\">\n        <table class=\"dlw-table dlw-panel-table\">\n            <colgroup>\n                <col><col><col><col>\n            <\/colgroup>\n            <thead>\n                <tr>\n                    <th scope=\"col\">Panel<\/th>\n                    <th scope=\"col\">No. of genes<\/th>\n                    <th scope=\"col\">Tumour types<\/th>\n                    <th scope=\"col\">Complete gene list<\/th>\n                <\/tr>\n            <\/thead>\n            <tbody>\n                <tr>\n                    <th scope=\"row\">SOPHiA DDM&#x2122; Solid Tumor Solution (STS)<\/th>\n                    <td data-label=\"No. of genes\">42<\/td>\n                    <td data-label=\"Tumour types\">\n                        Lung, melanoma, colorectal, thyroid, GIST and glioma.\n                    <\/td>\n                    <td data-label=\"Complete gene list\">\n                        AKT1, ALK, BRAF, CDK4, CDKN2A, CTNNB1, DDR2, DICER1,\n                        EGFR, ERBB2, ERBB4, FBXW7, FGFR1, FGFR2, FGFR3, FOXL2,\n                        GNA11, GNAQ, GNAS, H3F3A, H3F3B, HIST1H3B, HRAS, IDH1,\n                        IDH2, KIT, KRAS, MAP2K1, MET, MYOD1, NRAS, PDGFRA,\n                        PIK3CA, PTPN11, RAC1, RAF1, RET, ROS1, SF3B1, SMAD4,\n                        TERT and TP53.\n                    <\/td>\n                <\/tr>\n\n                <tr>\n                    <th scope=\"row\">CSTS_49<\/th>\n                    <td data-label=\"No. of genes\">49<\/td>\n                    <td data-label=\"Tumour types\">\n                        In addition to STS: endometrial cancer.\n                    <\/td>\n                    <td data-label=\"Complete gene list\">\n                        AKT1, ALK, BRAF, CDK4, CDKN2A, CTNNB1, DDR2, DICER1,\n                        EGFR, ERBB2, ERBB3, ERBB4, ESR1, FBXW7, FGFR1, FGFR2,\n                        FGFR3, FOXL2, GNA11, GNAQ, GNAS, H3F3A, H3F3B,\n                        HIST1H3B, HRAS, IDH1, IDH2, KEAP1, KIT, KRAS, MAP2K1,\n                        MED12, MET, MYOD1, NRAS, PDGFRA, PIK3CA, POLE, PTEN,\n                        PTPN11, RAC1, RAF1, RET, ROS1, SF3B1, SMAD4, STK11,\n                        TERT and TP53.\n                    <\/td>\n                <\/tr>\n\n                <tr>\n                    <th scope=\"row\">CSTS_51<\/th>\n                    <td data-label=\"No. of genes\">51<\/td>\n                    <td data-label=\"Tumour types\">\n                        In addition to STS: endometrial cancer.\n                    <\/td>\n                    <td data-label=\"Complete gene list\">\n                        AKT1, ALK, ARID1A, BRAF, BRCA1, BRCA2, CDK4, CDKN2A,\n                        CTNNB1, DDR2, DICER1, EGFR, ERBB2, ERBB4, ESR1, FBXW7,\n                        FGFR1, FGFR2, FGFR3, FOXL2, GNA11, GNAQ, GNAS, H3F3A,\n                        H3F3B, HIST1H3B, HRAS, IDH1, IDH2, KIT, KMT2A, KMT2D,\n                        KRAS, MAP2K1, MAP2K2, MET, MTOR, MYOD1, NRAS, PDGFRA,\n                        PIK3CA, PTPN11, RAC1, RAF1, RET, ROS1, SF3B1, SMAD4,\n                        TERT, TGFBR2 and TP53.\n                    <\/td>\n                <\/tr>\n\n                <tr>\n                    <th scope=\"row\">CSTS_55<\/th>\n                    <td data-label=\"No. of genes\">55<\/td>\n                    <td data-label=\"Tumour types\">\n                        In addition to STS: breast and ovarian cancer.\n                    <\/td>\n                    <td data-label=\"Complete gene list\">\n                        AKT1, ALK, ARID1A, ARID5B, BRAF, BRCA1, BRCA2, CDK4,\n                        CDKN2A, CTCF, CTNNB1, DDR2, DICER1, EGFR, ERBB2, ERBB4,\n                        FBXW7, FGFR1, FGFR2, FGFR3, FOXL2, GNA11, GNAQ, GNAS,\n                        H3F3A, H3F3B, HIST1H3B, HRAS, IDH1, IDH2, KEAP1, KIT,\n                        KRAS, MAP2K1, MET, MYOD1, NF1, NRAS, PDGFRA, PIK3CA,\n                        PIK3R1, POLE, PPP2R1A, PTEN, PTPN11, RAC1, RAF1, RET,\n                        ROS1, RPL22, SF3B1, SMAD4, STK11, TERT and TP53.\n                    <\/td>\n                <\/tr>\n\n                <tr>\n                    <th scope=\"row\">CSTS_57<\/th>\n                    <td data-label=\"No. of genes\">57<\/td>\n                    <td data-label=\"Tumour types\">\n                        In addition to STS: breast, ovarian and endometrial cancer.\n                    <\/td>\n                    <td data-label=\"Complete gene list\">\n                        AKT1, ALK, ARID1A, ARID5B, BRAF, BRCA1, BRCA2, CDK4,\n                        CDKN2A, CTCF, CTNNB1, DDR2, DICER1, EGFR, ERBB2, ERBB4,\n                        ESR1, FBXW7, FGFR1, FGFR2, FGFR3, FOXL2, GNA11, GNAQ,\n                        GNAS, H3F3A, H3F3B, HIST1H3B, HRAS, IDH1, IDH2, KEAP1,\n                        KIT, KRAS, MAP2K1, MET, MYOD1, NF1, NRAS, PDGFRA,\n                        PIK3CA, PIK3R1, POLD1, POLE, PPP2R1A, PTEN, PTPN11,\n                        RAC1, RAF1, RET, ROS1, RPL22, SF3B1, SMAD4, STK11,\n                        TERT and TP53.\n                    <\/td>\n                <\/tr>\n\n                <tr>\n                    <th scope=\"row\">CSTS_106<\/th>\n                    <td data-label=\"No. of genes\">106<\/td>\n                    <td data-label=\"Tumour types\">\n                        In addition to STS: breast, ovarian and endometrial cancer.\n                    <\/td>\n                    <td data-label=\"Complete gene list\">\n                        AKT1, ALK, AR, ARAF, ARID1A, ARID2, ATM, ATRX, B2M,\n                        BAP1, BARD1, BRAF, BRCA1, BRCA2, BRIP1, CARD11, CCND1,\n                        CCNE1, CDK12, CDK4, CDK6, CDKN2A, CDKN2B, CHEK1, CHEK2,\n                        CTNNB1, DAXX, DDR2, EGFR, EIF1AX, ERBB2, ERBB3, ERBB4,\n                        ERCC2, ESR1, EZH2, FANCA, FANCL, FBXW7, FGFR1, FGFR2,\n                        FGFR3, GATA3, GNA11, GNAQ, GNAS, H3F3A, HIST1H3B,\n                        HRAS, IDH1, IDH2, JAK1, JAK2, KDM6A, KEAP1, KIT,\n                        KMT2C, KRAS, MAP2K1, MAP2K2, MAP3K1, MC1R, MDM2, MET,\n                        MITF, MTOR, MYC, MYCN, NBN, NCK1, NF1, NOTCH1, NOTCH2,\n                        NRAS, NTRK1, NTRK3, PALB2, PBRM1, PDGFRA, PIK3CA,\n                        PIK3R1, POLD1, POLE, PPP2R2A, PTCH1, PTEN, PTPN11,\n                        RAC1, RAD51B, RAD51C, RAD51D, RAD54L, RAF1, RB1, RET,\n                        RICTOR, ROS1, SF3B1, SMAD4, SMARCA4, STK11, TERT,\n                        TP53, TSC1, TSC2 and VHL.\n                    <\/td>\n                <\/tr>\n            <\/tbody>\n        <\/table>\n    <\/div>\n\n    <h2>Modular RNA fusion detection<\/h2>\n\n    <h3>Plus add-on<\/h3>\n\n    <p>\n        The <em>SOPHiA DDM&#x2122; Solid Tumor Plus Solution<\/em> products incorporate\n        probes for the targeted detection of a curated catalogue of 143 key RNA\n        gene-fusion pairs, as well as <em>MET exon 14 skipping<\/em> events and\n        the <em>EGFR vIII<\/em> variant.\n    <\/p>\n\n    <h2>Clinical applications<\/h2>\n\n    <p>\n        The backbone panel, <em>Solid Tumor Solution &#8211; STS<\/em>, provides robust\n        coverage of the most frequent genomic variants in lung, colorectal,\n        melanoma, thyroid, gastrointestinal stromal tumour (GIST) and glioma.\n    <\/p>\n\n    <p>\n        The <em>Community Solutions &#8211; CSTS<\/em> extend this coverage through\n        curated gene designs for indications with high biological relevance,\n        including endometrial, breast and ovarian cancer, or combinations of\n        these, depending on the panel selected.\n    <\/p>\n\n    <div class=\"dlw-prod-img-wrap\">\n        <img decoding=\"async\"\n            src=\"https:\/\/www.dlongwood.com\/wp-content\/uploads\/2026\/08\/imagen-2.webp\"\n            alt=\"Applications of the SOPHiA DDM solid tumour panels\"\n            class=\"dlw-prod-img\"\n            onclick=\"openDlwModal(this.src, this.alt)\"\n        >\n    <\/div>\n\n    <h2>Benefits<\/h2>\n\n    <div class=\"dlw-benefit\">\n        <strong>Scalable and customisable portfolio<\/strong>\n        <p>\n            Laboratories can choose from six pre-designed and tested panels of\n            increasing size, ranging from 42 to 106 genes. Combined RNA-fusion\n            detection can be added through the Plus versions, and genomic\n            content can be customised by removing or adding genes according to\n            laboratory requirements.\n        <\/p>\n    <\/div>\n\n    <div class=\"dlw-benefit\">\n        <strong>In-house implementation solutions<\/strong>\n        <p>\n            The complete sample-to-clinical-report workflow can be adopted\n            locally, retaining sample ownership and data sovereignty through\n            SOPHiA DDM&#x2122;.\n        <\/p>\n    <\/div>\n\n    <div class=\"dlw-benefit\">\n        <strong>Verified automation<\/strong>\n        <p>\n            Compatible with automation on leading liquid-handling systems used\n            in the industry.\n        <\/p>\n    <\/div>\n\n    <h2>Intended users<\/h2>\n\n    <p>\n        Clinical genetics and molecular oncology laboratories involved in the\n        diagnosis, management and therapeutic decision-making of patients with\n        solid tumours.\n    <\/p>\n\n    <h2>Key features<\/h2>\n\n    <div class=\"dlw-list\">\n        <span class=\"dlw-list-item\">\n            Pre-designed, tested, capture-based NGS applications for solid tumours.\n        <\/span>\n\n        <span class=\"dlw-list-item\">\n            Integrated analysis in SOPHiA DDM&#x2122;, from variant detection to\n            interpretation and reporting.\n        <\/span>\n\n        <span class=\"dlw-list-item\">\n            Detection of SNVs, Indels, CNVs, MSI and fusions, depending on the\n            solution configuration.\n        <\/span>\n\n        <span class=\"dlw-list-item\">\n            Plus versions with combined DNA and RNA analysis.\n        <\/span>\n\n        <span class=\"dlw-list-item\">\n            Detection of 143 fusion pairs in the Plus solutions.\n        <\/span>\n\n        <span class=\"dlw-list-item\">\n            Option to detect novel partner-agnostic fusions, gene expression and\n            exon-skipping events in the DNA+RNA workflow.\n        <\/span>\n\n        <span class=\"dlw-list-item\">\n            Low input requirements: 50 ng recommended and a minimum of 10 ng for\n            DNA; 50 ng recommended and a minimum of 10 ng for RNA or tNA in the\n            DNA+RNA brochure.\n        <\/span>\n\n        <span class=\"dlw-list-item\">\n            Compatible with FFPE, fresh or frozen samples.\n        <\/span>\n\n        <span class=\"dlw-list-item\">\n            Rapid library preparation: 1.5 days for DNA and 2.5 days for DNA+RNA.\n        <\/span>\n    <\/div>\n\n    <h2>Product details<\/h2>\n\n    <div class=\"dlw-highlight\">\n        <p>\n            <strong>Solution type:<\/strong> bundle solution comprising wet-lab\n            reagents and analytical credits for the cloud-based SOPHiA DDM&#x2122; web\n            platform.\n        <\/p>\n\n        <p>\n            <strong>Sample type:<\/strong> DNA and RNA\/cDNA from FFPE, fresh or\n            frozen tissue samples.\n        <\/p>\n    <\/div>\n\n    <h3>Main solutions and product codes<\/h3>\n\n    <div class=\"dlw-table-scroll\">\n        <table class=\"dlw-table dlw-spec-table\">\n            <colgroup>\n                <col><col><col><col><col><col><col>\n            <\/colgroup>\n            <thead>\n                <tr>\n                    <th scope=\"col\">Solution \/ panel<\/th>\n                    <th scope=\"col\">Internal reference<\/th>\n                    <th scope=\"col\">Genes<\/th>\n                    <th scope=\"col\">Associated diseases<\/th>\n                    <th scope=\"col\">Panel size<\/th>\n                    <th scope=\"col\">Reads \/ sample<\/th>\n                    <th scope=\"col\">Product codes<\/th>\n                <\/tr>\n            <\/thead>\n            <tbody>\n                <tr>\n                    <th scope=\"row\">SOPHiA DDM&#x2122; Solid Tumor Solution (STS)<\/th>\n                    <td data-label=\"Internal reference\">STT<\/td>\n                    <td data-label=\"No. of genes\">42<\/td>\n                    <td data-label=\"Associated diseases\">\n                        Lung, melanoma, colorectal, thyroid, GIST and glioma.\n                    <\/td>\n                    <td data-label=\"Panel size\">21.6 Kb<\/td>\n                    <td data-label=\"Reads per sample\">2.1 M<\/td>\n                    <td data-label=\"Product codes\">\n                        <strong>DNA:<\/strong> BS0105ILLRSM<br>\n                        <strong>Plus (DNA&amp;RNA):<\/strong> BS0115ILLRSM\n                    <\/td>\n                <\/tr>\n\n                <tr>\n                    <th scope=\"row\">CSTS_49<\/th>\n                    <td data-label=\"Internal reference\">CSTS_L_v1<\/td>\n                    <td data-label=\"No. of genes\">49<\/td>\n                    <td data-label=\"Associated diseases\">\n                        In addition to STS: endometrial cancer.\n                    <\/td>\n                    <td data-label=\"Panel size\">29.5 Kb<\/td>\n                    <td data-label=\"Reads per sample\">3.0 M<\/td>\n                    <td data-label=\"Product codes\">\n                        <strong>DNA:<\/strong> CS2479ILLRSM<br>\n                        <strong>Plus (DNA&amp;RNA):<\/strong> CS2490ILLRSM\n                    <\/td>\n                <\/tr>\n\n                <tr>\n                    <th scope=\"row\">CSTS_51<\/th>\n                    <td data-label=\"Internal reference\">CSTS_A_v1<\/td>\n                    <td data-label=\"No. of genes\">51<\/td>\n                    <td data-label=\"Associated diseases\">\n                        In addition to STS: endometrial cancer.\n                    <\/td>\n                    <td data-label=\"Panel size\">44.0 Kb<\/td>\n                    <td data-label=\"Reads per sample\">3.7 M<\/td>\n                    <td data-label=\"Product codes\">\n                        <strong>DNA:<\/strong> CS2155ILLRSM<br>\n                        <strong>Plus (DNA&amp;RNA):<\/strong> CS2443ILLRSM\n                    <\/td>\n                <\/tr>\n\n                <tr>\n                    <th scope=\"row\">CSTS_55<\/th>\n                    <td data-label=\"Internal reference\">CSTS_N_v2<\/td>\n                    <td data-label=\"No. of genes\">55<\/td>\n                    <td data-label=\"Associated diseases\">\n                        In addition to STS: breast and ovarian cancer.\n                    <\/td>\n                    <td data-label=\"Panel size\">77.0 Kb<\/td>\n                    <td data-label=\"Reads per sample\">6.6 M<\/td>\n                    <td data-label=\"Product codes\">\n                        <strong>DNA:<\/strong> CS2505ILLRSM<br>\n                        <strong>Plus (DNA&amp;RNA):<\/strong> CS2541ILLRSM\n                    <\/td>\n                <\/tr>\n\n                <tr>\n                    <th scope=\"row\">CSTS_57<\/th>\n                    <td data-label=\"Internal reference\">CSTS_N_v3<\/td>\n                    <td data-label=\"No. of genes\">57<\/td>\n                    <td data-label=\"Associated diseases\">\n                        In addition to STS: breast, ovarian and endometrial cancer.\n                    <\/td>\n                    <td data-label=\"Panel size\">83.6 Kb<\/td>\n                    <td data-label=\"Reads per sample\">8.3 M<\/td>\n                    <td data-label=\"Product codes\">\n                        <strong>DNA:<\/strong> CS2552ILLRSM<br>\n                        <strong>Plus (DNA&amp;RNA):<\/strong> CS2603ILLRSM\n                    <\/td>\n                <\/tr>\n\n                <tr>\n                    <th scope=\"row\">CSTS_106<\/th>\n                    <td data-label=\"Internal reference\">CLSO_v5<\/td>\n                    <td data-label=\"No. of genes\">106<\/td>\n                    <td data-label=\"Associated diseases\">\n                        In addition to STS: breast, ovarian and endometrial cancer.\n                    <\/td>\n                    <td data-label=\"Panel size\">324.0 Kb<\/td>\n                    <td data-label=\"Reads per sample\">21.0 M<\/td>\n                    <td data-label=\"Product codes\">\n                        <strong>DNA:<\/strong> CS2429ILLRSM<br>\n                        <strong>Plus (DNA&amp;RNA):<\/strong> CS2515ILLRSM\n                    <\/td>\n                <\/tr>\n            <\/tbody>\n        <\/table>\n    <\/div>\n\n    <h3>What does the solution include?<\/h3>\n\n    <div class=\"dlw-list\">\n        <span class=\"dlw-list-item\">\n            SOPHiA GENETICS Universal Library Prep reagents for fragmented DNA.\n        <\/span>\n\n        <span class=\"dlw-list-item\">\n            Hybridisation and capture probes.\n        <\/span>\n\n        <span class=\"dlw-list-item\">\n            Full access and credits for secondary and tertiary analysis on the\n            SOPHiA DDM&#x2122; platform.\n        <\/span>\n    <\/div>\n\n    <h3>Required reagents and materials not included in the kit<\/h3>\n\n    <div class=\"dlw-list\">\n        <span class=\"dlw-list-item\">\n            DNA extraction kits for FFPE samples.\n        <\/span>\n\n        <span class=\"dlw-list-item\">\n            RNA extraction kits for FFPE samples.\n        <\/span>\n\n        <span class=\"dlw-list-item\">\n            Equipment and reagents for fluorometric quantification and nucleic\n            acid quality control, such as Qubit&#x2122;, TapeStation&#x2122; or equivalent\n            systems.\n        <\/span>\n\n        <span class=\"dlw-list-item\">\n            Platform-specific Illumina sequencing reagents and Illumina PhiX v3\n            control.\n        <\/span>\n    <\/div>\n\n<\/div>\n\n<div\n    id=\"dlwImageModal\"\n    class=\"dlw-modal\"\n    role=\"dialog\"\n    aria-modal=\"true\"\n    aria-label=\"Enlarged image view\"\n    onclick=\"closeDlwModalOnBackdrop(event)\"\n>\n    <button\n   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Designed by genomic experts to simplify in-house implementation and accelerate cancer research, these applications integrate natively with the analytical and interpretative capabilities of the cloud-based SOPHiA DDM&#x2122; platform. They provide [&hellip;]<\/p>\n","protected":false},"featured_media":28162,"template":"","tecnologias":[36],"marcas":[215],"familias":[347,465,466,467,468,469,458,464],"class_list":["post-28164","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-nervous-system","familias-reproductive-system","familias-respiratory-system","familias-skin","familias-tumor-types"],"_links":{"self":[{"href":"https:\/\/www.dlongwood.com\/en\/wp-json\/wp\/v2\/productos\/28164","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\/28164\/revisions"}],"predecessor-version":[{"id":28165,"href":"https:\/\/www.dlongwood.com\/en\/wp-json\/wp\/v2\/productos\/28164\/revisions\/28165"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.dlongwood.com\/en\/wp-json\/wp\/v2\/media\/28162"}],"wp:attachment":[{"href":"https:\/\/www.dlongwood.com\/en\/wp-json\/wp\/v2\/media?parent=28164"}],"wp:term":[{"taxonomy":"tecnologias","embeddable":true,"href":"https:\/\/www.dlongwood.com\/en\/wp-json\/wp\/v2\/tecnologias?post=28164"},{"taxonomy":"marcas","embeddable":true,"href":"https:\/\/www.dlongwood.com\/en\/wp-json\/wp\/v2\/marcas?post=28164"},{"taxonomy":"familias","embeddable":true,"href":"https:\/\/www.dlongwood.com\/en\/wp-json\/wp\/v2\/familias?post=28164"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}