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Comprehensive Genomic and Transcriptomic Analysis for Guiding Therapeutic Decisions in Patients with Rare Cancers.
- Source :
-
Cancer discovery [Cancer Discov] 2021 Nov; Vol. 11 (11), pp. 2780-2795. Date of Electronic Publication: 2021 Jun 10. - Publication Year :
- 2021
-
Abstract
- The clinical relevance of comprehensive molecular analysis in rare cancers is not established. We analyzed the molecular profiles and clinical outcomes of 1,310 patients (rare cancers, 75.5%) 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. On the basis of 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 overall response and disease control rates (23.9% and 55.3%) compared with previous therapies, translating into a progression-free survival ratio >1.3 in 35.7% of patients. These data demonstrate the benefit of molecular stratification in rare cancers and represent a resource that may promote clinical trial access and drug approvals in this underserved patient population. SIGNIFICANCE: Rare cancers are difficult to treat; in particular, molecular pathogenesis-oriented medical therapies are often lacking. This study shows that whole-genome/exome and RNA sequencing enables molecularly informed treatments that lead to clinical benefit in a substantial proportion of patients with advanced rare cancers and paves the way for future clinical trials. See related commentary by Eggermont et al., p. 2677 . This article is highlighted in the In This Issue feature, p. 2659 .<br /> (©2021 American Association for Cancer Research.)
Details
- Language :
- English
- ISSN :
- 2159-8290
- Volume :
- 11
- Issue :
- 11
- Database :
- MEDLINE
- Journal :
- Cancer discovery
- Publication Type :
- Academic Journal
- Accession number :
- 34112699
- Full Text :
- https://doi.org/10.1158/2159-8290.CD-21-0126