View clinical trials related to Cancer.
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This aim of this study is to investigate whether active alerts during CVSM result in an increased number of diagnostic tests and treatments in complication free patients, hypothesizing that more interventions are performed in the CVSM-group than standard of care (EWS) group.
To explore whether there is a significant difference in the cumulative live birth rate and maternal and child health outcomes between cancer patients who undergo or do not undergo fertility preservation before receiving anti-tumor treatment and non-cancer patients who undergo assisted reproductive technology treatment/natural pregnancy. This study will be conducted in the Clinical Center of Reproductive Medicine, First Affiliated Hospital of Nanjing Medical University. 2800 women diagnosed with malignant cancers who has desire to reproduce will be enrolled in this study. Statistical analysis of the data will be performed.
Early diagnosis of cancer is key for improving patient outcomes, but cancers are difficult to diagnose if patients present with unspecific symptoms. The principal objective of the MEDECA (Markers in Early Detection of Cancer) study is to identify a multi-analyte blood test that can detect and map occult cancer within a mixed population of patients presenting with serious but unspecific symptoms. The study will include 1500 patients referred to the Diagnostic Center at Danderyd Hospital (DC DS), a multidisciplinary diagnostic center referral pathway for patients with radiological findings suggestive of metastasis without known primary tumor or suspicion of serious but unspecific symptoms. Blood samples are collected prior to a standardized and extensive cancer diagnostic work-up, including an expanded panel of biochemical analyses and extensive imaging such as computed tomography or magnetic resonance investigations. In collaboration with world-leading international scientists, the blood samples will be analyzed for a panel of novel and established blood biomarkers predictive of an underlying cancer, including markers of neutrophil extracellular traps, circulating tumor DNA, platelet mRNA profiling, affinity-based proteomics and nuclear magnetic resonance metabolomics. The diagnostic accuracy of the blood biomarkers with respect to cancer detection during the diagnostic work-up will be analyzed through machine learning.
Cancer has a psychological, emotional and social impact beyond a patient's physical health. This study examines three new online peer mental-wellness support program for cancer patients, survivors or their caregivers. Each program teaches evidence-based skills, in the context of that groups lived experience, to manage the emotional impact of cancer. This study examines the impact of that program.
The overall aim of the study is to analyse the impact of a music therapy-based treatment on the emotional well-being and quality of life of cancer patients in palliative care (PC). To this end, the effectiveness and efficiency of a music therapy-based treatment to improve adaptation to illness and psychological well-being in this population will be validated and implemented. Specifically, the implementation of an individualised treatment programme for palliative care patients will be carried out.
The aim of the Italian Registry of Malnutrition in Oncology (IRMO) is to set up a digital register of newly diagnosed or treated oncologic patients to monitor their nutritional status, early identify malnutrition and investigate the implications of nutritional support management. In particular, this project aims to establish a prospective cohort of cancer patients in order to investigate the effects of nutritional status and management on overall survival (OS) and progression free survival (PFS), and analyse the effects of the nutritional management and support on patients' symptoms and QoL.
Circadian rest-activity rhythm disorders are common in patients with cancer, particularly in advanced disease. A recent international e-Delphi study has outlined recommendations for the assessment and reporting of the disorder and subsequently an observation study is underway assessing a cohort of patients with advanced cancer. Affected patients are eligible to enter a feasibility study assessing a non-pharmacological multi-modal intervention.
Gastric cancer is the fifth most common cancer worldwide and the third leading cause of cancer-related deaths. Although surgical treatment can benefit the survival of the vast majority of patients, currently only early gastric cancer patients can be cured directly through endoscopic resection or surgery alone. Neoadjuvant therapy reduces tumor volume and improves tumor response rate through preoperative radiotherapy and chemotherapy, thereby increasing R0 resection rate and improving overall survival, without increasing postoperative complications and mortality. Timely imaging re staging during neoadjuvant therapy can allow patients to enter the surgical stage earlier, thereby reducing their preoperative burden. According to the different stages of neoadjuvant therapy, clinical staging can be divided into baseline stage (cBSstage) and clinical rest stage (cReStage) after neoadjuvant therapy. At present, the conventional imaging methods for diagnosing cBStage in gastric cancer include CT, endoscopic ultrasonography (EUS), and MRI. The NCCN guidelines recommend CT for cBStage, with a diagnostic accuracy of 77.1% to 88.9%. Similarly, EUS and MRI were also used for cBStage, with accuracy rates of 65.0% to 92.1% and 71.4% to 82.6%, respectively. The application of diffusion-weighted imaging (DWI) has improved the accuracy of MRI diagnosis of cBStage to 93%. However, due to the destruction of the gastric wall structure by neoadjuvant therapy, accurate imaging re staging is difficult. Currently, accurate tumor regression grading can only be obtained through surgical resection of pathological specimens. For cReT after neoadjuvant therapy, the diagnostic accuracy of EUS is only 63% (T2: 44%, T3: 68%, T4: 90%). Due to the presence of chronic inflammatory reactions, such as tumor cell apoptosis, necrosis, fibrosis, etc., in both the tumor and the critical normal gastric wall after neoadjuvant therapy, imaging cannot accurately identify the level of gastric wall, leading to the current low value of CT for cReT. Meanwhile, due to the fact that the pathological reactions of lymph nodes after neoadjuvant therapy are mainly subacute inflammatory reactions accompanied by scar tissue formation, and not all lymph node volumes that experience these pathological reactions will rapidly decrease, the accuracy of CT diagnosis of cReN is only 44%, while the sensitivity and specificity of EUS diagnosis of cReN are 50% and 56%, respectively. In addition, positron emission tomography (PET) can reflect the abnormal metabolism, protein synthesis, DNA repair, and cell proliferation of tumors at the molecular level, providing important information in tumor grading diagnosis, prognosis evaluation, treatment decision-making, and efficacy monitoring. The conventional positron tracer 18F-FDG can reflect the glucose metabolism ability of different tissues, while most types of malignant tumors exhibit high metabolism. Therefore, 18F-FDG can be used for the diagnosis, staging, and treatment monitoring of cancer. However, in gastric cancer patients, 18F-FDG has certain limitations, including 1) interference with physiological or inflammatory uptake of the gastric wall; 2) Low uptake of 18F-FDG is present in signet ring cell carcinoma, mucinous adenocarcinoma, or other poorly differentiated cancers with high mucus content; 3) There are cases of false positive FDG after immunotherapy. In the study of SUV changes in the tumor area before and after treatment, it was found that patients with postoperative pathological regression grades 1-5 Δ SUVs are between 0-70%. Tumor associated fibroblasts are closely related to tumor growth, invasion, and distant metastasis, and their activation requires the involvement of fibroblast activation protein (FAP). Therefore, radiolabeled fibroblast activation protein inhibitor (FAPI) can achieve in vivo FAP targeted tracing and quantification by specifically binding to FAP. Currently, a large number of studies have shown that 18F-FAPI is superior to 18F-FDG in the staging and re staging of gastric cancer. Furthermore, prospective studies have shown a certain relationship between tumor regression grade (TRG) and 18F-FAPI rate of change parameters (SUVmax, SUVavg, SUVR). Therefore, in the early stage of this study, 18F-FAPI combined with 18F-FDG PET/MRI imaging was used to evaluate the efficacy of neoadjuvant therapy for gastric cancer, preoperative assessment of tumor regression grade after treatment, and re staging to guide the development of further clinical treatment plans.
The C4 program aims to provide a multi-level intervention program (Patient Level, Healthcare Team and Healthcare System Level) that improves the coordination of care with supportive/ancillary care providers and community services through the use of patient navigation and a digital needs assessment and a closed-loop referral system and improves patient-centered communication and engagement in care through skills training for the healthcare team and provision of culturally appropriate patient educational tools and resources. The program components incorporate three areas that are critical to improving patient-centered care: coordination of care, patient-centered communication and engagement, and psychosocial care and other supportive services.