Overcoming barriers to tumor genomic profiling through direct patient social media outreach.

Journal of Clinical Oncology(2022)

引用 0|浏览10
暂无评分
摘要
6532 Background: Tumor genomic profiling is increasingly used to identify actionable genomic alterations as a guide to therapy selection. To overcome barriers to genomic testing for patients with rare cancers, we initiated a program to offer free clinical tumor genomic testing worldwide to patients with select rare cancer subtypes. Methods: Patients were recruited through social media outreach, engagement with disease advocacy groups, or via physician referral, with a focus on recruiting patients with histiocytosis, germ cell tumors and rare pediatric cancers. Tumor and patient-matched germline DNA were analyzed using the MSK-IMPACT targeted sequencing next generation sequencing panel with return of results to patients and their local physicians. Whole exome recapture of MSK-IMPACT DNA sequencing libraries was performed for patients with female germ cell tumors to define the genomic landscape of this rare cancer subtype. Results: 359 cancer patients expressed interest in the Make-an-IMPACT program, of whom 333 were enrolled. Tumor tissue was received for 288 (86.4%), with 250 (86.8%) having tumor DNA of sufficient quantity and quality for MSK-IMPACT testing. 14 histiocytosis patients have received genomically guided therapy to date, of whom 13 (93%) have had clinical benefit based on local MD response assessment with a mean treatment duration of 16.7 months (range 3-32+). Whole exome sequencing of ovarian GCTs identified a subset with fully haploid genotypes, a phenotype rarely observed in other cancer types. Actionable genomic alterations were rare in ovarian GCT (28%), however, 2 ovarian GCTs and squamous transformation had high tumor mutational burden, one of whom had a complete response to pembrolizumab. Conclusions: Social media outreach can facilitate the assembly of cohorts of rare cancers of sufficient size to define their genomic landscape. By profiling tumors in a clinical laboratory, results could be reported to patients and their local physicians where they could be used to guide treatment selection. This can also open the door to diversifying and being able to study the genomic landscape in a diverse cohort.
更多
查看译文
关键词
genomic profiling,social media,tumor
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要