View clinical trials related to Hematologic Cancer.
Filter by:Hypnosis is a technique allowing the patient to focus his mental attention on a thought or a sensation, with the aim of reducing or modulating the intensity of a negative feeling or an ordeal encountered during the course of treatment. This tool can be used when patients are faced with chronic disorders (pain, anxiety, ...) or iatrogenic effects (nausea, asthenia, ...). The patient is referred to hypnosis care by the doctor, psychologist or paramedics who follow him, when they detect a need. Several scientific studies have shown the effectiveness of hypnosis in improving the quality of life of patients with breast cancer and in reducing pain during invasive procedures. On the other hand, in hematology, no research has measured the evolution of anxiety, over time, in patients receiving hypnotherapy.
An interventional, non-randomised study to assess the risk of progression after discontinuation of maintenance therapy in sustained MRD negative complete remission by flow cytometry MM patients without high-risk features who have completed at least two years of maintenance therapy or who have discontinued maintenance due to side effects. The primary endpoint is to assess the rates of sustained MRD negativity by NGF in the bone marrow at 12 months after discontinuation of maintenance therapy.
Non-Hodgkin's lymphoma (NHL) is a cancer that arises from the transformation of normal B and T lymphocytes (white blood cells). The purpose of this study is to assess the safety, pharmacokinetics, and preliminary efficacy of ABBV-101 in adult participants in relapsed or refractory (R/R) non-Hodgkin's lymphomas: third line or later of treatment (3L) + chronic lymphocytic leukemia (CLL), small lymphocytic lymphoma (SLL), diffuse large b-cell lymphoma (DLBCL), non-germinal center B cell (GCB) DLBCL, mantle cell lymphoma (MCL), follicular lymphoma (FL), marginal zone lymphoma (MZL), Waldenström macroglobulinemia (WM), or transformed indolent NHL. Adverse events will be assessed. ABBV-101 is an investigational drug being developed for the treatment of NHL. This study will include a dose escalation phase to determine the maximum administered dose (MAD)/Maximum tolerated dose (MTD) of ABBV-101 and a dose expansion phase to determine the change in disease activity in participants with CLL or non-GCB DLBCL. Approximately 128 adult participants with multiple NHL subtypes will be enrolled in the study in sites world wide. In the Dose Escalation phase of the study participants will receive escalating oral doses of ABBV-101, until the MAD/MTD is determined, as part of the approximately 60 month study duration. In the dose expansion phase of the study participants receive oral ABBV-101, as part of the approximately 60 month study duration . There may be higher treatment burden for participants in this trial compared to their standard of care. Participants will attend regular visits during the study at an approved institution (hospital or clinic). The effect of the treatment will be frequently checked by medical assessments, blood tests, and side effects.
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).
An increasing number of cancer patients are eligible to receive immunotherapy. Efficacy and tolerance have been demonstrated in multicentre randomized clinical trials with positive results. However, real-life experience differs from clinical trial results, especially regarding the management of potential adverse events. HR-QoL (Health Related Quality of Life) is one of the components of QoL (Quality of Life) in its broad acceptation and is certainly the only one usually collected in trials while little is known about QoL in cancer patients treated in the 'real-world'. QUALITOP partners intend to bring together all relevant longitudinal information present in large heterogeneous data (big data) to estimate patient QoL and find surrogate markers of QoL and its evolution. Within the QUALITOP consortium, 5 countries will collect prospective clinical and QoL data and also retrospective clinical data, and share it. This project will enable collecting, managing, sharing, modelling, processing, and exploiting big data on QoL. Furthermore, beyond the description of QoL, analytical tools (including causal inference methods and machine learning) are needed to understand the determinants of QoL and their complex relationships with irAEs (immune related Adverse Events) in a big-data context where standard statistical techniques would be limited. Artificial intelligence and causal models may be applied and developed to empower the patient, prevent adverse medical conditions, and promote QoL. The created knowledge will enable proposing guidelines for promoting better QoL. QUALITOP aims at identifying the determinants of health status regarding immunotherapy-related adverse events (IR-AEs, such as toxicities) depending on the patient's profile in a real-world context. The richness of QUALITOP is in the diversity of the experts who will collaborate in it. Clinicians involved in the care (thus the health status of the patients) will collaborate with psychologists and sociologists to understand and integrate complementary dimensions of QoL related to immunotherapy. Experts in pharmacovigilance and pharmacists will investigate the IR-AEs and their associations with patient behaviour and non-drug consumption. Epidemiologists, data scientists (including bioinformaticians and biostatisticians) and economists will extract information from the data and develop simulation models to produce knowledge. The project will take place in close relation with patient associations that will interact with experts to design the analyses, interpret their results, and proceed to their dissemination. The main objective is to collect data of patients receiving immunotherapy in order to describe its impact in their quality of life. - Create the first real-life cohort of cancer patients treated with immunotherapy within a context of multidimensional management (with data on clinical information, health-related QoL (HR-QoL), IR-AEs, drug consumption, lifestyle, and administrative data). - Accelerate knowledge directed to different stakeholders (patients, relatives, clinicians, pharmacists, health authorities, and the general public) for a better understanding of the determinants of QoL and its optimization after immunotherapy through the development of innovative analytic tools (artificial intelligence and causal models). - Produce policies and recommendations to improve patients QoL and participate in the implementation of the SDGs (Sustainable Development Goals) for 4P medicine (Predictive, Preventive, Personalized, Participative) in immunotherapy for cancer patients.
Evaluate the efficacy and safety for the prevention of oral mucositis and PK of MIT-001 for lymphoma or multiple myeloma patients receiving conditioning chemotherapy for autologous hematopoietic stem cell transplantation(auto-HSCT).
This is a study to explore the phenotypic and transcriptional changes of different cellular components in the tumor following the injection of somatic cell therapy drugs. The second objective is to explore phenotypic and transcriptional changes of different cellular components in blood and bone marrow following injection of somatic cell therapy drugs.Then correlate the phenotypic and transcriptional profile of different tumor, blood and bone marrow immune populations with clinical response and/or toxicity. And to finish this study is designed in order to identify a phenotypic, transcriptional and epigenetic profile of intra-tumoral adoptive cells and correlate this profile with clinical response and/or toxicity.
SURGE aims to increase equity in clinical trial enrollment by addressing barriers to genomic testing, which is increasingly needed to assess precision clinical trial eligibility and access standard precision therapies. The study is an interventional pilot meant primarily to assess the feasibility of the intervention. The intervention is comprised of a patient navigator, text message questionnaire, and informational video.
Cancer survivors have unique healthcare needs including risk for serious late effects, ongoing surveillance, lifestyle modifications to reduce second cancer risk, and psychosocial support. Nearly 70% have at least one comorbid chronic condition in addition to cancer. Comorbidities pose significant challenges to the delivery of quality cancer care because they adversely affect and are affected by cancer treatment. Medically underserved patients have the highest burden of multiple chronic conditions and are at increased risk for poor outcomes during and after cancer treatment. As medically underserved cancer patients may lack healthcare knowledge and access to supportive care, their health outcomes and care transitions might be improved by enhancing communication and collaboration between their oncologists and primary care providers (PCPs). This study tests and evaluates a novel shared care model for cancer survivors with chronic comorbidities, called OPTIMISE (Oncology-Primary Care Partnership to Improve Comprehensive Survivorship Care) in the largest safety-net healthcare system in Houston, Texas. Three-hundred newly diagnosed breast, GI, and hematological cancer patients who are being treated with curative intent and who have comorbidities requiring ongoing management during cancer treatment will complete baseline surveys and be randomized to either OPTIMISE or Usual Medical Care (UMC). Patients receiving UMC will receive their cancer treatment, as directed by their oncologist, a survivorship care plan (SCP) at the end of active treatment, and surveillance visits with their oncologist based on national guidelines. Patients in OPTIMISE will 1) have an oncology nurse navigator assigned to their care team at diagnosis to facilitate oncologist-PCP communication and continuity of care; 2) receive coordinated care between their oncologist and PCP throughout cancer treatment and surveillance facilitated by a structured communication and referral process; 3) receive a survivorship care plan (SCP) at the end of treatment that incorporates comorbidity management; and, 4) receive a risk-stratified shared care model of post-treatment surveillance where one or more routine oncologist follow-up visits is replaced by a PCP visit. Aim 1a evaluates the impact of OPTIMISE on patient chronic disease self-management (primary outcome) and quality of life (secondary outcome). Aim 1b explores the effects of OPTIMISE on healthcare use and patient unmet needs during and after active cancer treatment. Aim 2 examines the effects of OPTIMISE on oncologist and PCP attitudes and coordination of care. Aim 3 seeks to elucidate patient- and system-level factors that may influence implementation outcomes. OPTIMISE shifts the timing of thinking about survivorship to point of diagnosis and seeks to develop a clinical infrastructure to support continuity of care from cancer diagnosis through post-treatment survivorship. If found effective, OPTIMISE could be expanded to other cancers, igniting a potentially rich area of research. It may also have significant downstream impact in other medical settings by enhancing care transitions from specialty to primary care.
This is a randomized, open-label, multicenter study to compare the efficacy and safety of AZA with or without ATRA in newly diagnosed unfit AML or Intermediate,High or Very High Risk MDS