<HashMap><database>EGA</database><scores/><additional><omics_type>Genomics</omics_type><study_type>Cancer Genomics</study_type><full_dataset_link>https://ega-archive.org/studies/EGAS00001004813</full_dataset_link><host>EGA</host><description>EGA study EGAS00001004813</description><dataset_title>Dataset for gynecologic_cancer-EXON</dataset_title><dataset_title>Dataset for urologic_cancer-RNA</dataset_title><dataset_title>Dataset for liposarcoma-WHOLE_GENOME</dataset_title><dataset_title>Dataset for urologic_cancer-WHOLE_GENOME</dataset_title><dataset_title>Dataset of Master Samples submitted to other HIPO projects</dataset_title><dataset_title>Dataset for NSCLC-EXON</dataset_title><dataset_title>Dataset for gynecologic_cancer-RNA</dataset_title><dataset_title>Dataset for GIST-RNA</dataset_title><dataset_title>Dataset for hematopoietic_malignancy-WHOLE_GENOME</dataset_title><dataset_title>Dataset for upper_gastrointestinal_tumor-RNA</dataset_title><dataset_title>Dataset for NSCLC-WHOLE_GENOME</dataset_title><dataset_title>Dataset for Ewing_sarcoma_PNET-RNA</dataset_title><dataset_title>Dataset for other_cancer-WHOLE_GENOME</dataset_title><dataset_title>Dataset for hepatopancreaticobiliary_malignancy-WHOLE_GENOME</dataset_title><dataset_title>Dataset for NSCLC-RNA</dataset_title><dataset_title>Dataset for melanoma-RNA</dataset_title><dataset_title>Dataset for head_and_neck_cancer-EXON</dataset_title><dataset_title>Dataset for melanoma-WHOLE_GENOME</dataset_title><dataset_title>Dataset for synovial_sarcoma-WHOLE_GENOME</dataset_title><dataset_title>Dataset for neuroendocrine_adrenal_tumor-WHOLE_GENOME</dataset_title><dataset_title>Dataset for colorectal_cancer-RNA</dataset_title><dataset_title>Dataset for soft_tissue_tumor-RNA</dataset_title><dataset_title>Dataset for soft_tissue_tumor-EXON</dataset_title><dataset_title>Dataset for synovial_sarcoma-RNA</dataset_title><dataset_title>Dataset for soft_tissue_tumor-WHOLE_GENOME</dataset_title><dataset_title>Dataset for cancer_of_unknown_primary-EXON</dataset_title><dataset_title>Dataset for Ewing_sarcoma_PNET-EXON</dataset_title><dataset_title>Dataset for bone_cancer-RNA</dataset_title><dataset_title>Dataset for bone_cancer-WHOLE_GENOME</dataset_title><dataset_title>Dataset for GIST-EXON</dataset_title><dataset_title>Dataset for head_and_neck_cancer-RNA</dataset_title><dataset_title>Dataset for Ewing_sarcoma_PNET-WHOLE_GENOME</dataset_title><dataset_title>Dataset for GIST-WHOLE_GENOME</dataset_title><dataset_title>Dataset for neuroendocrine_adrenal_tumor-EXON</dataset_title><dataset_title>Dataset for liposarcoma-EXON</dataset_title><dataset_title>Dataset for neuroendocrine_adrenal_tumor-RNA</dataset_title><dataset_title>Dataset for hepatopancreaticobiliary_malignancy-RNA</dataset_title><dataset_title>Dataset for hematopoietic_malignancy-RNA</dataset_title><dataset_title>Dataset for colorectal_cancer-WHOLE_GENOME</dataset_title><dataset_title>Dataset for leiomyosarcoma-EXON</dataset_title><dataset_title>Dataset for other_cancer-RNA</dataset_title><dataset_title>Dataset for hematopoietic_malignancy-EXON</dataset_title><dataset_title>Dataset for breast_cancer-RNA</dataset_title><dataset_title>Dataset for cancer_of_unknown_primary-RNA</dataset_title><dataset_title>Dataset for upper_gastrointestinal_tumor-WHOLE_GENOME</dataset_title><dataset_title>Dataset for head_and_neck_cancer-WHOLE_GENOME</dataset_title><dataset_title>Dataset for hepatopancreaticobiliary_malignancy-EXON</dataset_title><dataset_title>Dataset for cancer_of_unknown_primary-WHOLE_GENOME</dataset_title><dataset_title>Dataset for upper_gastrointestinal_tumor-EXON</dataset_title><dataset_title>Dataset for urologic_cancer-EXON</dataset_title><dataset_title>Subset of EGAS00001004662 WGS data (2 tumor/control pairs) which are used in EGAS00001004813 (Titel: Comprehensive Genomic and Transcriptomic Analysis of Rare Cancers for Guiding of Therapy (H021))</dataset_title><dataset_title>Dataset for breast_cancer-WHOLE_GENOME</dataset_title><dataset_title>Dataset for other_cancer-EXON</dataset_title><dataset_title>Dataset for colorectal_cancer-EXON</dataset_title><dataset_title>Dataset for bone_cancer-EXON</dataset_title><dataset_title>Dataset for gynecologic_cancer-WHOLE_GENOME</dataset_title><dataset_title>Dataset for melanoma-EXON</dataset_title><dataset_title>Dataset for liposarcoma-RNA</dataset_title><dataset_title>Dataset for synovial_sarcoma-EXON</dataset_title><dataset_title>Dataset for breast_cancer-EXON</dataset_title><dataset_title>Dataset for leiomyosarcoma-RNA</dataset_title><dataset_title>Dataset for leiomyosarcoma-WHOLE_GENOME</dataset_title><repository>EGA</repository><category>restricted</category></additional><is_claimable>false</is_claimable><name>Comprehensive Genomic and Transcriptomic Analysis of Rare Cancers for Guiding of Therapy (H021)</name><description>Here we analyzed the molecular profiles and clinical outcomes of 1,310 patients (proportion of rare cancers, 75%) enrolled in a prospective observational study by the German Cancer Consortium that applies whole-genome/exome and RNA sequencing to inform the care of adults with incurable cancers. Based on 472 single and six composite biomarkers, a cross-institutional molecular tumor board provided evidence-based management recommendations, including diagnostic reevaluation, genetic counseling, and experimental treatment, in 88% of cases. Recommended therapies were administered in 362 of 1,138 patients (31.8%) and resulted in significantly improved response and disease control rates (23.9% and 55.3%, respectively) compared to previous therapies, translating into a progression-free survival ratio >1.3 in 35.7% of patients.</description><dates><updated>2022-09-08 11:17:51</updated></dates><accession>EGAS00001004813</accession><cross_references><TAXONOMY>9606</TAXONOMY><EGA>EGAD00001008888</EGA><EGA>EGAD00001008903</EGA><EGA>EGAD00001008862</EGA><EGA>EGAD00001008861</EGA><EGA>EGAD00001008877</EGA><EGA>EGAD00001008857</EGA><EGA>EGAD00001008866</EGA><EGA>EGAD00001008873</EGA><EGA>EGAD00001008880</EGA><EGA>EGAD00001008886</EGA><EGA>EGAD00001008850</EGA><EGA>EGAD00001008896</EGA><EGA>EGAD00001008883</EGA><EGA>EGAD00001008865</EGA><EGA>EGAD00001008879</EGA><EGA>EGAD00001008870</EGA><EGA>EGAD00001008890</EGA><EGA>EGAD00001008905</EGA><EGA>EGAD00001008847</EGA><EGA>EGAD00001008897</EGA><EGA>EGAD00001008901</EGA><EGA>EGAD00001008863</EGA><EGA>EGAD00001008867</EGA><EGA>EGAD00001008904</EGA><EGA>EGAD00001008856</EGA><EGA>EGAD00001008906</EGA><EGA>EGAD00001008860</EGA><EGA>EGAD00001008900</EGA><EGA>EGAD00001008899</EGA><EGA>EGAD00001008874</EGA><EGA>EGAD00001008882</EGA><EGA>EGAD00001008881</EGA><EGA>EGAD00001008871</EGA><EGA>EGAD00001008902</EGA><EGA>EGAD00001008878</EGA><EGA>EGAD00001008887</EGA><EGA>EGAD00001008848</EGA><EGA>EGAD00001008854</EGA><EGA>EGAD00001008858</EGA><EGA>EGAD00001008872</EGA><EGA>EGAD00001008869</EGA><EGA>EGAD00001008846</EGA><EGA>EGAD00001008855</EGA><EGA>EGAD00001008898</EGA><EGA>EGAD00001008876</EGA><EGA>EGAD00001008889</EGA><EGA>EGAD00001008884</EGA><EGA>EGAD00001008844</EGA><EGA>EGAD00001008845</EGA><EGA>EGAD00001008851</EGA><EGA>EGAD00001008885</EGA><EGA>EGAD00001008868</EGA><EGA>EGAD00001008852</EGA><EGA>EGAD00001008891</EGA><EGA>EGAD00001008892</EGA><EGA>EGAD00001008859</EGA><EGA>EGAD00001008853</EGA><EGA>EGAD00001008849</EGA><EGA>EGAD00001008895</EGA><EGA>EGAD00001008875</EGA><EGA>EGAD00001008893</EGA><EGA>EGAD00001008894</EGA><EGA>EGAC00001000452</EGA></cross_references></HashMap>