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临床试验/NCT06067347
NCT06067347招募中不适用

Integration of Machine Learning and Genomics to Predict Outcomes for Newly Diagnosed, Relapsed and Refractory Mature T-cell and NK/T-cell Lymphomas: a Global Study of the PETAL Consortium

Massachusetts General Hospital20 个研究点 分布在 4 个国家目标入组 1,200 人开始时间: 2024年1月5日最近更新:
适应症

试验速览

阶段
不适用
状态
招募中
入组人数
1,200
试验地点
20
主要终点
Overall Survival

研究概览

简要总结

The goal of this observational study is to correlate molecular alterations with outcomes including overall survival (OS), progression-free survival (PFS), response rates for patients with a new diagnosis, primary refractory or relapse, of mature T-cell and NK-cell neoplasms (TNKL). We hypothesize that machine learning can be leveraged to uncover distinct genetic vulnerabilities that underlie treatment response and resistance for patients with TNKL, thus moving towards personalized treatment solutions.

详细描述

This study is a prospective, longitudinal observational study of patients with newly diagnosed or relapsed/refractory T-cell and NK-cell neoplasms, conducted across multiple participating institutions globally. Patients will be enrolled during their initial visit as new patients and will be followed for up to four years through the course of their clinical management. Data for routine demographics, baseline clinical features, including pathology, molecular information related to the tumor, radiology, treatment characteristics and quality of life (QoL) associated with their lymphoma care will be collected over the course of 4 years by clinical research teams at every participating institution. The de-identified data will be securely shared through a password protected REDCap with other participating institutions under data usage agreements of the consortium. Next generation sequencing (NGS) including but not limited to whole exome sequencing and bulk RNA-sequencing will be performed on archived lymphoma specimens, mononuclear cells, cfDNA and saliva (when feasible) for a comprehensive molecular characterization of the tumor. Molecular data will be analyzed in correlation with patient outcomes. Advanced deep learning algorithms will be applied to predict responses and survival across lymphoma subtypes, heterogeneous clinical scenarios and various potential therapeutic approaches that the patient has not been exposed to.

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

入选标准

  • Untreated, relapsed, or refractory histologically confirmed mature T-cell or NK-cell neoplasm.
  • All subtypes of PTCL are eligible except for T-cell large granular lymphocytic leukemia, cutaneous T-cell lymphoma such as but not limited to mycosis fungoides and transformation, Sézary syndrome, and primary cutaneous CD30+ disorders.

排除标准

  • Precursor T/NK neoplasms, T-cell large granular lymphocytic leukemia, cutaneous T-cell lymphoma such as but not limited to mycosis fungoides and transformation, Sézary syndrome, and primary cutaneous CD30+ disorders.
  • Adults who are unable to consent, individuals who are not yet adults such as infants, children and teenagers, pregnant women, and prisoners.

研究组 & 干预措施

Massachusetts General Hospital, Boston, USA

Participating investigators at various institutions will perform weekly review of their new patients with PTCL (newly diagnosed or relapsed/refractory) on the outpatient and inpatient clinical services with their clinical research teams to identify potential subjects for enrollment based on the above inclusion/exclusion criteria. Expected enrollment is anticipated to be up to 50 patients per site per year.

结局指标

主要结局

Overall Survival

时间窗: Up to 4 Years

Difference in overall survival (OS) in subjects with primary refractory versus relapsed mature T-cell and NK-cell neoplasms at the completion of 4 years.

Progression-free Survival

时间窗: Up to 4 Years

Difference in progression-free survival (PFS) in subjects with primary refractory versus relapsed mature T-cell and NK-cell neoplasms at the completion of 4 years.

Number of subjects proceeding to stem cell transplantation

时间窗: Up to 4 Years

Difference in number of subjects bridged to stem cell transplantation (allogeneic or autologous) with mature T-cell and NK-cell neoplasms treated with cytotoxic chemotherapy versus prespecified non-chemotherapeutic choice at the completion of 4 years.

Duration of Response

时间窗: Up to 4 Years

Difference in duration of response in subjects with mature T-cell and NK-cell neoplasms treated with cytotoxic chemotherapy versus prespecified non-chemotherapeutic choice at the completion of 4 years.

Time to progression

时间窗: Up to 4 Years

Difference in time to progression in subjects with mature T-cell and NK-cell neoplasms treated with cytotoxic chemotherapy versus prespecified non-chemotherapeutic choice at the completion of 4 years.

Association of tumor specific somatic variants with treatment response

时间窗: Up to 4 Years

Determine whether tumor specific somatic variants identified at the time of diagnosis predicts response to treatment in subjects with mature T-cell and NK-cell neoplasms at the completion of 4 years in at least 50% of the patients.

次要结局

  • Complete Response Rate(Up to 4 Years)
  • Rate of Adverse Events(Up to 4 Years)
  • Overall Response Rate(Up to 4 Years)

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Salvia Jain, MD

Principal Investigator

Massachusetts General Hospital

研究点 (20)

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A Global Study of the PETAL Consortium | 临床试验