Cancer Paid Clinical Trials in Massachusetts

This research is being done to see how effective the drug niraparib is against cancer that has metastasized to the central nervous system (CNS). * This research study involves the study drug niraparib. Read Less

This research is being done to determine the efficacy of selpercatinib to restore radioactive iodine (I-131 NaI) uptake and allow for I-131 treatment in people with RET fusion-positive radioiodine-refractory thyroid cancer. This research study involves the study drug selpercatinib in combination with standard of care treatments, I-131 and thyrotropin alfa (rhTSH). Read Less

This study intends to explore feasibility, acceptability, and outcomes related to the use of a digital health coaching intervention for individuals who have completed primary therapy for cancer. Up to 625 individuals with diverse cancer diagnoses will be enrolled across up to 8 clinical sites to participate in a randomized wait-list control study. Those in the intervention group will receive 6 months of digital coaching up front followed by 6 months of ongoing monitoring via patient reported and clinical outcomes, as well as wearable data. Those in the control group will be monitored via patient reported and clinical outcomes as well as wearable data for the first 6 months followed by 6 months of digital health coaching. Both groups will collect fecal microbiome samples at enrollment and month 6. The study aims to explore if and how digital health coaching may be used to enhance outcomes for individuals following completion of primary cancer therapy. Read Less

The purpose of this study is to assess whether a cognitive-behavioral therapy (CBT) for fatigue intervention is acceptable, feasible, and effective at managing fatigue and improving quality of life for patients following hematopoietic stem cell transplant (HCT). Read Less

Phase 1 study to evaluate safety, tolerability and anti-tumor activity of RGT-61159 in patients with ACC or CRC Read Less

Accurate risk assessment is essential for the success of population screening programs and early detection efforts in breast cancer. Mirai is a new deep learning model based on full resolution mammograms. Mirai is a mammography-based deep learning model designed to predict risk at multiple timepoints, leverage potentially missing risk factor information, and produce predictions that are consistent across mammography machines. Mirai was trained on a large dataset from Massachusetts General Hospital (MGH) in the United States and found to be significantly more accurate than the Tyrer-Cuzick model, a current clinical standard. The primary aim of this study is to prospectively quantify the clinical benefit (i.e. MRI/CEM cancer detection rate) of Mirai-based guidelines and to compare them to the current standard of care. 1. Conduct a prospective study where patients who are identified as high risk by Mirai guidelines are invited to receive supplemental MRI within 12 months. 2. Compare cancer outcomes between patients only identified as high risk by Mirai and patients identified as high risk by existing guidelines The secondary aim is to study the impact of new guidelines by race and ethnicity, to ensure equitable improvements in cancer screening. Read Less

The goal of this study is to learn more about how exercise might lower the risk of developing breast cancer in women with dense breast tissue by studying changes that occur in breast tissue and blood as a result of participating in an exercise program. The names of the study groups in this study are: * Exercise Training Group * Waitlist Control Group Read Less

This is a first-in-human (FIH), Phase 1/2a, multi center, open-label, single treatment, dose escalation and expansion study designed to determine the safety and tolerability of STM-416 in patients with bladder cancer. Read Less

This is a phase 1 dose escalation trial of ZM008, an anti-LLT1 antibody as a single agent followed by combination with Pembrolizumab in patients with advanced solid tumors who have exhausted all standard therapy available or are intolerant of the same. Read Less

RATIONALE: Studying samples of blood and tissue from patients with cancer in the laboratory may help doctors learn more about changes that occur in DNA and identify biomarkers related to cancer. It may also help the study of cancer in the future. PURPOSE: This clinical trial is analyzing the DNA in blood and tissue samples from patients with lung cancer. Read Less

Investigators use a genome-wide approach within a case-control design to identify SNPs that show evidence of association with lung cancer risk and survival. Read Less

The purpose of this research study is to see if the combination of study drugs avelumab and M1774 is effective and safe for participants with endometrial cancer. The names of the study drugs involved in this study are: * Avelumab (a type of human IgG1 antibody) * M1774 (a type of ATR inhibitor) Read Less