试验雷达 AI | ||
|---|---|---|
临床试验 NCT07314528 针对Rectal Cancer Patients,Obesity &Amp; Overweight,Locally Advanced Rectal Cancer (LARC),Total Neoadjuvant Therapy,GLP-1目前尚未招募。请查看临床试验雷达卡片视图和 AI 发现工具了解所有详情,或在此提出任何问题。 | ||
一个试验符合筛选条件
卡片视图
Evaluating the Impact of GLP-1 Receptor Agonists With Total Neoadjuvant Therapy in Rectal Cancer II期 42
临床试验详情主要以英语提供。然而,试验雷达 AI可以提供帮助!只需点击“试验详解”即可查看和讨论您选择的语言的试验信息。
临床试验NCT07314528旨在研究治疗,主要针对Rectal Cancer Patients,Obesity &Amp; Overweight,Locally Advanced Rectal Cancer (LARC),Total Neoadjuvant Therapy,GLP-1。这是一项II期 干预性研究试验,当前状态为尚未招募。试验尚未开始,计划于2026年4月1日开始,预计招募42名患者。该研究由St. James's Hospital, Ireland主导,计划于2028年9月1日完成。试验数据来源于ClinicalTrials.gov,最后更新时间为2026年1月2日。
简要概括
The goal of this clinical trial is to see if adding a weight loss medication (GLP-1 receptor drug) to patients with an increased BMI receiving treatment for rectal cancer prior to surgery (total neoadjuvant chemoradiotherapy) improves cancer outcomes. The main questions it aims to answer is
- Does the drug increase weight loss in rectal cancer patients with a high BMI
- Does the drug improve response rates to chem...
详细描述
This Phase II multicentre, open-label randomized controlled trial aims to determine whether adding a GLP-1 receptor agonist (GLP-1RA) to standard Total Neoadjuvant Therapy (TNT) improves oncological outcomes in Locally Advanced Rectal Cancer (LARC). We will evaluate whether metabolic modulation through GLP-1RA increases pathological complete response (pCR) rates, accelerates the clearance of circulating tumour DNA (c...显示更多
官方标题
A Phase II Multi-institutional Randomized Trial Evaluating the Impact of GLP-1 Receptor Agonists in Combination With Total Neoadjuvant Therapy for Locally Advanced Rectal Cancer
疾病
Rectal Cancer PatientsObesity &Amp; OverweightLocally Advanced Rectal Cancer (LARC)Total Neoadjuvant TherapyGLP-1出版物
关于此临床试验发表的科学文章和研究论文:其他研究标识符
- 435911714
NCT编号
实际开始日期
2026-04
最近更新发布
2026-01-02
预计完成日期
2028-09
计划入组人数
42
研究类型
干预性研究
试验分期 (阶段)
II期
试验状态
尚未招募
关键词
Locally Advanced Rectal Cancer
Total Neoadjuvant Therapy
GLP-1 Receptor Agonist
Total Neoadjuvant Therapy
GLP-1 Receptor Agonist
主要目的
治疗方法
分配方式
随机
干预模型
平行
盲法
无(开放性试验)
试验组/干预措施
| 参与者组/试验组 | 干预措施/治疗方法 |
|---|---|
实验性Total Neoadjuvant Therapy and GLP-1 Receptor Agonist This arm will have patients with increased BMI and locally advanced rectal cancer having total neoadjuvant chemoradiotherapy. This arm will be given a GLP-1 receptor agonist | GLP-1 Receptor Agonist All patients will receive standard total neoadjuvant therapy for rectal cancer as per local standards. One group will receive a GLP-1 rector agonist in addition to the standard treatment for rectal cancer Total neoadjuvant therapy (TNT) Total ne-adjuvant therapy is standard treatment for locally advanced rectal cancer |
阳性对照Locally advanced rectal cancer and total neoadjuvant therapy alone Patients with a high BMI and locally advanced rectal cancer undergoing total neoadjuvant therapy with not receiving a GLP-1 receptor agonist | Total neoadjuvant therapy (TNT) Total ne-adjuvant therapy is standard treatment for locally advanced rectal cancer |
主要终点
次要终点
| 结果指标 | 度量标准描述 | 时间框架 |
|---|---|---|
Weight Loss | Change in weight loss (Kilograms) between groups at 2 time points
* Baseline
* Pre TNT starting
* Post TNT starting | 6 months |
Metabolic Profile of the Tissue | Using a human ex vivo explant model (3D), we will assess in real time the metabolic profiles of the tissues from patents in the control and interventions groups. Detailed metabolic profiling data using Seahorse technology. These metabolic profile data will be correlated with detailed clinical, pathology and outcome data for each patient in the trial. | From enrolment to operation within 1 year |
Inflammatory Mediators | Using human ex vivo explant model (3D) system, we will profile the secretions of inflammatory mediators from the TME and how these cross talks to immune cells. This data will be directly correlated with the detailed metabolic signatures. | From enrolment to surgical resection within 1 year |
GLP-1 effects on mitochondrial fitness | Determine of GLP-1 treatment alters mitochondrial fitness ex vivo in explants by assessing ATP levels (Relative Light Units), stress responses and adaptations to metabolic demands using tissues from both arms of the trial. | From enrolment to surgical resection within 1 year |
Mapping systemic inflammatory profiles | To definitively map the systemic inflammatory profile, we will investigate matched plasma samples (baseline and post-intervention) using a high dimensional approach (e.g Olink Target-96 Immunoncology panel or Olink Explore-396 inflammatory profile). Samples will be taken at the time of diagnosis and the time of surgery | From enrolment to surgical resection within 1 year |
Mapping circulating immune systems | Map the circulating immune system using spectral flow cytometry to include cell frequencies (e.g. T cells, Innate T cells, NK cells, Monocytes and DC subsets), activation/exhaustion phenotype (e.g. CD69, PD-1, TIM-3 etc) and cytokine profiles (e.g. interleukin (IL)-2, 4, 10 \& 17, interferon gamma, tumour necrosis factor, granzymes etc). Samples will be taken from pre treatment biopsies and from the tumour itself when removed at surgery. | From enrolment to surgical resection within 1 year |
Mapping tumour resident immune system | Map the tumour resident immune system using MACsima spatial imaging platform and their 61- parameter immuno-oncology antibody panel (which includes T cells, NK cells, Macrophages \& DCs plus tumour specific markers). Using this platform, in addition to deep immunopheotyping, we will allow perform neighbour analysis to determine cell-cell interactions. Tissue will be taken from pre treatment biopsies and from the tumour itself when removed at surgery. | From enrolment to surgical resection within 1 year |
| 结果指标 | 度量标准描述 | 时间框架 |
|---|---|---|
Oncological outcomes | To compare pathological complete response (pCR) rates at the time of surgical resection.
To assess overall survival (OS) at 3 and 5 years post-treatment. To assess disease-free survival (DFS) at 3 and 5 years post-treatment. To evaluate local recurrence rates at 1, 3 and 5 years | 5 years |
Surgical Outcomes | To compare operative complexity (e.g., operative time, blood loss (millilitres), conversion rates). | Enrolment to surgical intervention and 30 days post discharge |
Metabolic and Physiologic Outcomes: | To measure changes in BMI, waist circumference, and visceral fat volume using imaging modalities. (kg/m2) | From enrolment to surgical resection within 1 year |
Treatment Tolerability and Safety: | To compare the incidence and severity of adverse events (graded by CTCAE v5.0). This will be assessed while on treatment and post surgery for 30-days To assess treatment compliance and any dose modifications or interruptions due to toxicity. This will be measured continually during treatment To evaluate GLP-1 RA-related side effects, particularly gastrointestinal symptoms and hypoglycemia. This will be assessed at the end of treatment | 1 year |
Patient-Reported Outcomes: | To compare quality of life (QoL) scores using validated instruments (e.g., EORTC QLQ-C30). This will happen at 3 monthly intervals from starting treatment To assess patient-reported functional status, fatigue, and appetite changes. This will happen at 3 monthly intervals from starting treatment To evaluate psychological well-being (e.g., depression, anxiety scores) in the context of body weight changes and cancer therapy. | 2 years |
Translational Component: to investigate the molecular and cellular effects of GLP-1 RA therapy during TNT through analysis of tissue and blood biomarkers. | To evaluate changes in tumor microenvironment, including immune cell infiltration (e.g., CD8+ T-cells, macrophages) via immunohistochemistry or multiplex immunofluorescence. | From enrolment to surgical resection within 1 year |
Radiomics | Standardize imaging and segmentation across sites with centralized protocols and ROI annotation for tumor and mesorectal fat.
Extract baseline and post-TNT radiomic features and calculate delta-radiomics, alongside CT-based body composition measures.
Develop predictive models combining radiomics with clinical and metabolic data to correlate with pCR, survival, and treatment toxicity. | From enrolment to surgical resection within 1 year |
Circulating Tumor DNA (ctDNA) | Longitudinal sampling: Plasma will be collected at baseline, mid-TNT, preoperatively, and postoperatively at defined follow-up intervals.
Analytical methods: ctDNA will be quantified and profiled using next-generation sequencing (NGS)-based assays to detect mutations, copy number variations, and methylation patterns relevant to rectal cancer.
Endpoints: Dynamics of ctDNA clearance and re-emergence will be evaluated as biomarkers of treatment response, minimal residual disease, and early recurrence.
Integration: ctDNA data will be correlated with radiomic signatures, metabolic changes, and pathological outcomes to explore composite biomarker models that predict pCR, DFS, and OS. | From enrolment to surgical resection within 1 year |
Surgical Outcomes | To assess postoperative complications, including anastomotic leak, wound infection, and ileus (Clavien-Dindo classification). | 30 days |
Surgical Outcomes | To evaluate length of hospital stay and 30-day readmission rates | 30 days |
Metabolic and Physiologic Outcomes: | To assess changes in insulin sensitivity, lipid profile, and inflammatory markers (e.g., CRP, IL-6). | From enrolment to 1 year |
Metabolic and Physiologic Outcomes: | To evaluate resting metabolic rate (RMR) and body composition (e.g., lean mass vs. fat mass if DEXA or BIA is used). | Enrolment to 1 year |
Translational Component: to investigate the molecular and cellular effects of GLP-1 RA therapy during TNT through analysis of tissue and blood biomarkers. | To assess systemic inflammatory and metabolic markers, such as IL-6, TNF-α, adiponectin, leptin, and CRP, at baseline and post-TNT. | From enrolment to1 year |
Translational Component: to investigate the molecular and cellular effects of GLP-1 RA therapy during TNT through analysis of tissue and blood biomarkers. | To perform gene expression profiling of tumor samples (pre- and post-TNT) to identify signatures associated with treatment response or resistance. | Enrolment to 1 year |
Translational Component: to investigate the molecular and cellular effects of GLP-1 RA therapy during TNT through analysis of tissue and blood biomarkers. | To explore gut microbiome composition in relation to treatment arm and metabolic outcomes, using fecal metagenomic sequencing. | Enrolment to 1 year |
Translational Component: to investigate the molecular and cellular effects of GLP-1 RA therapy during TNT through analysis of tissue and blood biomarkers. | To assess circulating tumor DNA (ctDNA) dynamics pre-, during, and post-TNT as a potential predictor of minimal residual disease and recurrence. | Enrolment to 1 year |
参与助手
资格标准
适龄参与研究
成人, 老年人
最低年龄要求
18 Years
适龄性别
全部
- Written informed consent according to local guidelines obtained prior to any study-related activities.
- Histologically confirmed mismatch repair protein proficient adenocarcinoma of the rectum.
- BMI ≥25 kg/m²
- Radiological confirmed >T2, Node positive, Threatened Surgical Margin and/or EMVI+ by MRI
- Imaging available for radiomics analysis
- Absence of metastatic disease at registration.
- Adequate renal function is defined as calculated creatinine clearance (CrCl) >50ml/min.
- ANC > 1.5 cells/mm3, HGB > 8.0 gm/dl, PLT > 150,000/mm3, total bilirubin ≤ 1.5 x ULN (except in patients with Gilbert's Syndrome who must have total bilirubin ≤ 3.0 x ULN), AST≤ 3 x ULN, ALT ≤ 3 x ULN
- Able to tolerate medication.
- ECOG 0-2
- Received prior chemotherapy or radiotherapy
- Previous or concurrent active malignancy ≤ 5 years prior to registration, with the exception of non-melanotic skin cancer or carcinoma in situ of any type, or other cancers that the treating investigator does not feel will impact the study objectives.
- Locally advanced disease T3N+ or T4 disease.
- Recurrent rectal cancer
- Metastatic disease at presentation
- Patients unable to undergo MRI
- Patients having already received weight-loss intervention (pharmacological or surgical)
研究责任方
Ben Creavin, 主要研究者, Colorectal Surgeon, St. James's Hospital, Ireland
研究中心联系人
联系人: Michael Eamon Kelly, MB BAO BCH PhD FRCSI, 00353876638956, [email protected]
联系人: Ben Creavin, MB BAO BCH MD FRCSI, 00353877830130, [email protected]
没有位置数据。