Cancer Sequencing Guided Personalized and Precision Medicine Platform in Multiple Myeloma
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 100
- 试验地点
- 1
- 主要终点
- Total number of somatic Single-nucleotide variants (SNVs) per patient
研究概览
简要总结
This will be a 2 year study to evaluate and improve cancer sequencing as applied to the characterization of tumor molecular make-up and the identification of novel therapeutics (total n=100; approximately 50/year). Participants who will undergo tumor biopsy for management of multiple myeloma (MM) will self-refer to the study or be referred by their treating physician. Participants will initially meet with a clinician to review study consents and provide medical, medication, and family history information. After informed consent, biospecimen samples from peripheral blood, cheek swab, and tumor samples from bone marrow (aspirate and biopsy), peripheral blood, or any mass/fluid containing tumor cells will be obtained (from procedures indicated as part of their standard oncology care) for cancer sequencing (CS) (whole exome sequencing of germline and tumor genomes, RNA sequencing of tumor transcriptome, single cell, and CyTOF analysis). CS data will be interpreted via somatic variation identification, network modeling, and cancer transcriptome profiling to facilitate mapping activity levels of genes to networks and for identifying genes activated or dysregulated in cancer cells. Technologies and methodologies are developing rapidly, varying on a near daily basis which pre-empts our ability to define analysis and interpretation techniques in detail. Sequencing and analysis will be performed at the Genomics Core Facility at the Icahn School of Medicine at Mount Sinai. In instances where internal sequencing capabilities do not allow for certain types of analysis (e.g., a technology that is not yet available at Mount Sinai), de-identified samples or data may be sent out to third parties for additional analysis.. All external genetic tests will be performed in a CLIA certified lab and all tests will be FDA or NYS approved. The RNA Sequencing test will receive NYS Department of Health (Wadsworth Center) approval before results are provided to physicians . Samples will be de-identified and processed by the Mount Sinai Human Immune Monitoring Core (HIMC) before being sent to an external CLIA-certified lab for sequencing and analysis. Interpretation will be performed by a multidisciplinary team that includes genomicists, pathologists, and clinicians familiar with the particular cancer diagnosed in the participant. Once results are available, they will be shared with the study team. This study is not intended to implement the findings on CS, only to report the results obtained to the study team.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 年龄范围
- 18 Years 至 —(Adult, Older Adult)
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Patients must be 18 years of age at the time of registration.
- •Participant must have an established diagnosis of relapsed Multiple Myeloma based on IMWG criteria, be willing to participate, and able to consent
- •Participant must have a treating physician who agrees to participate in the study
- •Participant will be undergoing a bone marrow biopsy or tumor biopsy as part of their standard of care.
- •Patients must be willing to participate in this study and able to sign informed consent.
- •Participants are not participating in any interventional clinical trial using systemic therapy directed towards control of MM.
排除标准
- •Known diagnosis of AL amyloidosis, Waldenstrom Macroglobulinemia, POEMS, or Castleman´s disease.
- •Diagnosis of cancer other than myeloma or skin cancer (squamous cell or basal cell) that is ongoing or treated within the last 2 years.
- •Tumor sample inadequate or unavailable for analysis (e.g., due to insufficient number of tumor cells).
- •Patient will not be receiving systemic MM-directed chemotherapy/immunotherapy in the following 2 months from the time tumor biopsy is performed.
研究组 & 干预措施
Participants with Multiple Myeloma
Participants who will undergo tumor biopsy for management of multiple myeloma (MM)
结局指标
主要结局
Total number of somatic Single-nucleotide variants (SNVs) per patient
时间窗: End of study at 30 months
The number of genetic alterations found in the genome through genetic sequencing and comparison to the most common genetic sequence. A given variant may describe an alteration that is benign, pathogenic, or of unknown significance.
次要结局
- Number of mutations per megabase among MM subgroups(End of study at 30 months)
- Transcriptome variations identified(End of study at 30 months)
- Signaling Pathways associated(End of study at 30 months)
- Enzymes associated with each signaling pathway identified(End of study at 30 months)
- Total number of somatic deletions (DEL) per patient(End of study at 30 months)
- Number of INS per megabase of the MM genome(End of study at 30 months)
- Number of mutations per megabase among genomic regions for all MM and mutational subgroups(End of study at 30 months)
- FDA approved drugs available that block enzymes produced in those pathways identified(End of study at 30 months)
- Number of DEL per megabase of the MM genome(End of study at 30 months)
- Molecular signatures identified(End of study at 30 months)
- Germline whole exome sequencing profile(End of study at 30 months)
- Tumor transcriptome profile(End of study at 30 months)
- Cytometric profile(End of study at 30 months)
- Network-informed key driver variants identified(End of study at 30 months)
- Total number of somatic insertions (INS) per patient(End of study at 30 months)
- Number of SNVs per megabase of the MM genome(End of study at 30 months)
- Chromosomal abnormalities identified(End of study at 30 months)
- Established Prognostic markers identified(End of study at 30 months)
- Germline mutations identified in cancer predisposition genes(End of study at 30 months)
- Single-cell sequencing profile(End of study at 30 months)
- Gene mutations identified(End of study at 30 months)
- Somatic variants identified as targets of FDA-approved drugs (pharmacogenomics variant data)(End of study at 30 months)
- Treatment recommended by computational pipeline based on patient's clinical and genetic(End of study at 30 months)
- Tumor genome whole exome sequencing profile(End of study at 30 months)
- Improvement of cancer sequencing-guided treatment recommendations by machine learning(End of study at 30 months)
研究者
Cesar Rodriguez Valdes
Associate Professor
Icahn School of Medicine at Mount Sinai
