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Showing 1-20 of 23 trials
NCT07486310
This study is a prospective, multicenter, open-label, randomized controlled clinical trial, planned to enroll 30 patients with advanced gastric cancer and peritoneal metastasis. It aims to evaluate the safety and efficacy of systemic therapy plus Pressurized Intra-Peritoneal Aerosol Virus (PIPAV) with VRT106 compared to systemic therapy plus Pressurized Intra-Peritoneal Aerosol Chemotherapy (PIPAC).
NCT07259226
International study that will evaluate the association of prespecified biomarkers with resistance to Antibody-drug conjugates (ADCs), a type of targeted cancer treatment currently used in clinical practice for treating different tumor types.
NCT07102901
This is a multicenter, phase 2, open label study to evaluate safety, tolerability and efficacy of SHR2554 combined with other anti-tumor treatments in patients with advanced or metastatic gastric or gastroesophageal junction adenocarcinoma.
NCT07144995
This anchored matching-adjusted indirect comparison (MAIC) evaluates the relative efficacy of fruquintinib-paclitaxel (using IPD from the FRUTIGA trial, n=703) versus ramucirumab-paclitaxel (using published AgD from RAINBOW-Asia, n=440) in advanced gastric/GEJ adenocarcinoma. Baseline characteristics are adjusted via entropy balancing weights. Primary endpoint is progression-free survival (PFS) analyzed by Bucher method; secondary endpoints include overall survival (OS) and objective response rate (ORR). Sensitivity analyses comprise restricted mean survival time (RMST) analysis and simulated treatment comparison (STC).
NCT02142322
This is a Phase II Trial of Perioperative Chemotherapy with Oxaliplatin, 5-Fluorouracil, Leucovorin(MODIFIED FOLFOX6)in Patients with Locally Advanced Operable Gastric Cancer.
NCT03609359
The efficacy and safety of the use of pembrolizumab in combination with lenvatinib.
NCT04195828
To evaluate the clinical efficacy and safety of camrelizumab combined with apatinib mesylate, nab-paclitaxel and S-1
NCT06727981
This prospective observational study aims to evaluate the efficacy and safety of immune checkpoint inhibitors as first-line and neoadjuvant therapy for advanced gastric cancer, while also investigating relevant biomarkers to better understand their role in immunotherapy outcomes
NCT06592287
This study is a prospective, dual arm, open Ib/II phase clinical trial, with the main objective of exploring the safety and efficacy of Adebrelimab combined with Apatinib and Lrinotecan liposome for second-line treatment of advanced gastric cancer. The study is divided into two stages. The first stage is the safety introduction period, which includes 6 patients. Observe whether the subjects experience dose limiting toxicity (DLT) during the observation period. If no subjects experience DLT during the observation period, the study enters the next stage. The dose of Lrinotecan liposome used during the safety introduction period is 80mg/m2, and the DLTs observation period is 1 cycle. If the patient cannot tolerate it, the dose will be reduced to 60mg/m2. In the second stage, advanced gastric cancer subjects who have progressed to first-line treatment will be included in two cohorts: those who have previously received immune checkpoint inhibitor therapy and have first-line PFS\>7m (cohort 1) and those who have received standard systemic chemotherapy (cohort 2). 30 subjects will be included in each population, and a total of 66 subjects are planned to be enrolled. The study includes a screening period (from the signing of the informed consent form by the subjects to the first treatment, not exceeding 28 days), a treatment period (Adebrelimab combined with Apatinib and Lrinotecan liposome), and a follow-up period (including safety and survival follow-up).
NCT06478394
Brief Summary: Machine Learning-Driven Noninvasive Screening of Transcriptomics Liquid Biopsies for Early Diagnosis of Occult Peritoneal Metastases in Locally Advanced Gastric Cancer Gastric cancer, commonly known as stomach cancer, is a significant health issue worldwide, especially when it progresses to an advanced stage. One of the major challenges in treating locally advanced gastric cancer (LAGC) is the detection of occult (hidden) peritoneal metastases. These metastases are cancer cells that spread to the peritoneum (the lining of the abdominal cavity) but are not easily detectable with standard imaging techniques or during surgery. Early and accurate detection of these hidden metastases can significantly improve treatment strategies and outcomes for patients. This clinical study explores an innovative approach to tackle this problem using machine learning (ML) technology and liquid biopsies. Liquid biopsies are a noninvasive method that involves analyzing blood samples to detect cancer-related biomarkers, such as circulating tumor DNA or RNA. This study specifically focuses on the transcriptomics of liquid biopsies, which refers to the analysis of RNA molecules to understand the gene expression profiles associated with cancer. Hypothesis The hypothesis of this study is that machine learning algorithms can effectively analyze transcriptomics data from liquid biopsies to detect occult peritoneal metastases in patients with locally advanced gastric cancer. By doing so, this method could provide a noninvasive, accurate, and early diagnosis of metastases, which are otherwise difficult to identify through traditional methods. Study Design 1. Participants: The study will enroll patients diagnosed with locally advanced gastric cancer. These patients will undergo standard diagnostic and staging procedures to confirm their cancer stage and overall health status. 2. Sample Collection: Blood samples will be collected from the participants at various stages of their treatment journey. These samples will be processed to extract RNA, which will then be analyzed to obtain transcriptomic data. 3. Machine Learning Analysis: Advanced machine learning algorithms will be employed to analyze the transcriptomic data from the liquid biopsies. The algorithms will be trained to identify patterns and markers associated with occult peritoneal metastases. The models will be continuously refined and validated using a subset of the collected data to ensure accuracy and reliability. 4. Comparison with Traditional Methods: The results of the machine learning analysis will be compared with the outcomes of traditional diagnostic methods, such as imaging and surgical examinations, to evaluate the effectiveness of the ML-driven approach. 5. Outcome Measures: The primary outcome measure will be the accuracy of the machine learning models in detecting occult peritoneal metastases compared to traditional methods. Secondary measures will include the impact of early detection on treatment decisions, patient outcomes, and overall survival rates. Significance Early and accurate detection of occult peritoneal metastases in locally advanced gastric cancer is crucial for effective treatment planning. Traditional diagnostic methods often fail to identify these hidden metastases until they have progressed, limiting the treatment options and adversely affecting patient prognosis. By leveraging machine learning technology to analyze transcriptomics data from liquid biopsies, this study aims to develop a noninvasive and reliable screening tool that can detect these metastases at an earlier stage. Such an advancement could lead to several benefits, including: * Improved Treatment Planning: Early detection allows for more tailored and effective treatment strategies, potentially including more aggressive therapies or surgical interventions when necessary. * Better Patient Outcomes: With earlier and more accurate diagnosis, patients have a higher chance of receiving timely and appropriate treatments, which can improve survival rates and quality of life. * Noninvasive Screening: Liquid biopsies are less invasive than traditional biopsy methods, reducing the physical and psychological burden on patients. * Cost-Effectiveness: Early detection and treatment can potentially reduce the overall cost of care by preventing the need for more extensive and expensive treatments at later stages of the disease. Conclusion This clinical study represents a promising step forward in the fight against gastric cancer. By integrating machine learning with noninvasive liquid biopsy techniques, it aims to provide a new tool for the early detection of occult peritoneal metastases, ultimately improving outcomes for patients with locally advanced gastric cancer. The success of this study could pave the way for broader applications of machine learning in cancer diagnostics and personalized medicine.
NCT06123494
This study will assess the efficacy and safety of SHR-A1811 compared with treatment chosen by the investigator in participants with HER2-positive (defined as immunohistochemistry \[IHC\] 3+ or IHC 2+/in situ hybridization \[ISH\]+) gastric or GEJ adenocarcinoma (based on \[American Society of Clinical Oncology (ASCO) College of American Pathologists (CAP) guidelines who have progressed on or after a first-line anti-HER2 therapy-containing regimen.
NCT05141747
The objective of this study is to assess the safety, efficacy, pharmacokinetics, and immunogenicity of MRG002 as single agent in patients with HER2-positive /HER2-low locally advanced or metastatic gastric/ gastroesophageal junction cancer.
NCT00565370
There is strong scientific rationale for exploring the role of sorafenib with capecitabine and cisplatin (XP) in AGC. XP is a new standard of care in AGC and sorafenib is a novel signal transduction inhibitor that prevents tumor cell proliferation and angiogenesis through blockade of the Raf/MEK/ERK pathway at the level of Raf kinase and the receptor tyrosine kinases VEGF-R2 and PDGFR-beta.
NCT01471470
The purpose of this study is to determine whether docetaxel, capecitabine, cisplatin, and bevacizumab are effective in the treatment of unresectable advanced gastric cancer.
NCT03564834
Gastric cancer is one of the most common malignant tumors worldwide. With the rapid aging of global population, the number of elderly patients with local advanced gastric cancer is increasing. Surgery is the essential treatment for local advanced gastric cancer. However, because of the degeneration of physiological organs, cell functions, compensatory ability, immunity, and physiological reserve ability, elderly patients often face great safety issues when having surgery. Therefore, how to treat the elderly patients with local advanced gastric cancer with safe and effective surgery is one of the important problems in the field of gastric cancer treatment. With the introduction of minimally invasive treatment concepts and techniques, the role of laparoscopic radical gastrectomy in the treatment of early gastric cancer, as well as the advantages of trauma control and postoperative accelerated rehabilitation have been confirmed, however, there is still a lack of sufficient high-level clinical evidence in the elderly patients with advanced gastric cancer. The current study therefore aims to evaluate the safety and efficacy of laparoscopic versus open gastrectomy for advanced gastric cancer in elderly patients, using a randomized parallel controlled study design. The investigators hypothesized that laparoscopic gastrectomy is superior to open gastrectomy in terms of perioperative safety for local advanced gastric cancer patients aged 70 and above.
NCT03255811
At present, apatinib was approved for the treatment of advanced gastric cancer after second-line or gastroesophageal junction adenocarcinoma, is in the second one, experience of medication, clinical data, no chemotherapy so now intends to carry out 40 cases of small sample exploratory research, in the conventional chemotherapy after the onset, with APA for Nigeria maintenance treatment, with a preliminary understanding of apatinib in first-line advanced gastric cancer to maintain the efficacy and safety of the treatment, and explore the feasibility of anti generate small molecule targeted therapy in advanced gastric cancer vascular pattern.
NCT02560740
Chemotherapy-induced peripheral neuropathy (CIPN) is a progressive, enduring, and often irreversible condition featuring pain, numbness, tingling and sensitivity to cold in the hands and feet (sometimes progressing to the arms and legs) that afflicts between 30 and 40 percent of patients undergoing chemotherapy. American Society of Clinical Oncology (ASCO) guidance on The Journal of Clinical Oncology (JCO, 2014 April 14) does not recommend any prophylaxis regimen for CIPN. PerOx Quench has unique membrane protection and anti-oxidative function as a special food, that's why to try to explore its preventive effects on CIPN prevention induced by Oxaliplatin for colorectal cancer or gastric cancer chemotherapy.
NCT02873520
To evaluate the safety and effectiveness of cell therapy using Precision Cells to treat Advanced Gastric Cancer. Eligibility: Individuals greater than or equal to 18 years of age and less than or equal to 65 years of age who have been diagnosed with Advanced Gastric Cancer.
NCT01624025
A salvage treatment with combination of docetaxel and epirubicin in patients with unresectable, metastatic gastric cancer after fluoropyrimidine failure : A HER2 status-based study
NCT02365896
Prospective Randomized Controlled Multicenter Clinical Trial for Comparison of Safety Between Totally Laparoscopic Distal Gastrectomy(TLDG) and Laparoscopy-Assisted Distal Gastrectomy(LADG) With Billroth-II Reconstruction and D2 Lymphadenectomy for Locally Advanced Gastric Cancer