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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
Researchers will compare this drug in one group against a group of patients receiving preoperative total neoadjuvant chemoradiotherapy without the drug
Patients will be required to
1) take the GLP-1 receptor agonist drug during TNT or just having TNT alone as per standard hospital protocols
Body weight will be measured at three predefined time points:
Patients will complete their treatment and go on to have surgery as per standard methods for treating rectal cancer
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 (ctDNA), and reduces the risk of recurrence. Secondary outcomes include toxicity profiles, surgical parameters and outcomes, ctDNA dynamics, and 2-year disease-free (DFS) and overall survival (OS). By combining innovative metabolic therapy with biomarker-driven monitoring, this study pioneers a precision oncology approach in the management of LARC.
Immune metabolism refers to the bioenergetic and biosynthetic processes that support immune cell function. Obesity significantly alters this metabolic programming. Obesity has a significant impact on cancer development and progression, in part due to its effects on the tumour microenvironment (TME) and immune metabolism. Understanding this connection is key in cancer biology and can also inform therapeutic strategies. There are many consequences of obesity-induced TME alterations, including immune suppression, increased tumour progression, metastasis, and resistance to immunotherapy.
Obesity is linked to an increased risk of developing 13 different cancers, including CRC cancer. 1 The mechanisms are complex, but elevated systemic inflammation and dysregulated immunity are major factors. Emerging evidence is beginning to show the potential benefits of GLP-1 therapies in cancer treatment; since this class of medications improves obesity, they might also help improve cancer outcomes. In a large retrospective cohort study with a 15-year follow-up, GLP-1 medication use was associated with a significant risk reduction in 10 of the 13 obesity-related cancers. 1 Mechanistically, the reasons for this reduction are unknown, but decreased inflammation and immune dysregulation are likely key factors in lowering this risk.
Our research group has extensively documented the harmful effects of obesity on the immune system, including its impact on anti-cancer immunity. Additionally, we have provided clinical and experimental evidence that GLP-1 therapy reduces inflammation and can significantly enhance anti-tumor immune cell populations. In this study, we will precisely assess the effects of two specific interventions-either TNT combined with GLP-1 RA (intervention group) or TNT alone (control group)-on the systemic inflammatory profile and circulating/tumor immune phenotype in stage III rectal cancer.
GLP-1-based treatments originally developed for type 2 diabetes and obesity, are now gaining attention for their potential impact on immune metabolism and even cancer therapy. There has been direct links between GLP-1 treatment and immune metabolism, with GLP reducing inflammation and improving systemic metabolism enhancing immune fitness. Some studies have also shown that GLP treatment can also indirectly modulate the TME by lowering leptin and insulin levels, reducing tumour-promoting signalling and reducing immunosuppressive cells in the TME. It is important to note that different cancers may respond differently to GLP-1 modulation based on the complexity, composition and level of immune infiltration. In this current study, we will profile the metabolic profiles and inflammatory profiles in the complex TME across the two defined interventions (either TNT + GLP-1 RA (intervention group) or TNT alone (control group)) in stage III rectal cancer patents enrolled in the trial.
GLP-1 receptor agonists (GLP-1 RAs), such as semaglutide, have demonstrated strong effects on weight loss in individuals with obesity. In the STEP 1 trial, semaglutide led to an average weight loss of 14.9%, compared to 2.4% with placebo, over 68 weeks. Recent epidemiologic data also suggest a link between GLP-1 RA use and a reduced incidence of obesity-related cancers, including colorectal cancer. 3 Additionally, GLP-1 RAs may have anti-inflammatory and metabolic effects that could be beneficial in the context of cancer therapy.
Total neoadjuvant therapy (TNT) is increasingly utilized in managing locally advanced rectal cancer (LARC) to improve pathological complete response (pCR) rates, facilitate surgical downstaging, and support organ preservation. This trial aims to determine whether combining GLP-1 RAs with TNT leads to meaningful weight loss and better oncological outcomes compared to TNT alone in patients with BMI ≥30 and LARC.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Total Neoadjuvant Therapy and GLP-1 Receptor Agonist | Experimental | 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 |
|
| Locally advanced rectal cancer and total neoadjuvant therapy alone | Active Comparator | Patients with a high BMI and locally advanced rectal cancer undergoing total neoadjuvant therapy with not receiving a GLP-1 receptor agonist |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| GLP-1 receptor agonist | Drug | 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 |
| Measure | Description | Time Frame |
|---|---|---|
| Weight Loss | Change in weight loss (Kilograms) between groups at 2 time points
| 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 |
| Measure | Description | Time Frame |
|---|---|---|
| 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 |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Michael Eamon Kelly, MB BAO BCH PhD FRCSI | Contact | 00353876638956 | kellym11@tcd.ie | |
| Ben Creavin, MB BAO BCH MD FRCSI | Contact | 00353877830130 | bencreavin@rcsi.com |
| Name | Affiliation | Role |
|---|---|---|
| Michael Kelly, MB BAO BCH PHD FRCSI | St. James Hospital | Principal Investigator |
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| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 38888262 | Result | Kazi T, McKechnie T, Lee Y, Alsayari R, Talwar G, Doumouras A, Hong D, Eskicioglu C. The impact of obesity on postoperative outcomes following surgery for colorectal cancer: analysis of the National Inpatient Sample 2015-2019. ANZ J Surg. 2024 Jul-Aug;94(7-8):1305-1312. doi: 10.1111/ans.19135. Epub 2024 Jun 18. | |
| 36294412 | Result |
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De identified data will not be available to anyone outside the study. This is in line with our ethics department and GDPR
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| Total neoadjuvant therapy (TNT) | Drug | Total ne-adjuvant therapy is standard treatment for locally advanced rectal cancer |
|
| 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 |
| 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 |
| Martin-Carnicero A, Ramalle-Gomara E, Rubio-Mediavilla S, Alonso-Lago M, Zorrilla-Larraga M, Manrique-Abos I, de Las Heras-Duena ME, Larrayoz IM, Martinez A. Prognostic and Predictive Biomarkers in Patients with Locally Advanced Rectal Cancer (LARC) Treated with Preoperative Chemoradiotherapy. J Clin Med. 2022 Oct 16;11(20):6091. doi: 10.3390/jcm11206091. |
| 35565381 | Result | Dizdarevic E, Hansen TF, Jakobsen A. The Prognostic Importance of ctDNA in Rectal Cancer: A Critical Reappraisal. Cancers (Basel). 2022 Apr 30;14(9):2252. doi: 10.3390/cancers14092252. |
| 39093546 | Result | Chen C, Douglas MP, Ragavan MV, Phillips KA, Jansen JP. Clinical Validity and Utility of Circulating Tumor DNA (ctDNA) Testing in Advanced Non-small Cell Lung Cancer (aNSCLC): A Systematic Literature Review and Meta-analysis. Mol Diagn Ther. 2024 Sep;28(5):525-536. doi: 10.1007/s40291-024-00725-x. Epub 2024 Aug 2. |
| 32923389 | Result | Ryan EJ, Creavin B, Sheahan K. Delivery of Personalized Care for Locally Advanced Rectal Cancer: Incorporating Pathological, Molecular Genetic, and Immunological Biomarkers Into the Multimodal Paradigm. Front Oncol. 2020 Aug 14;10:1369. doi: 10.3389/fonc.2020.01369. eCollection 2020. |
| 40437949 | Result | Silverii GA, Marinelli C, Bettarini C, Del Vescovo GG, Monami M, Mannucci E. GLP-1 receptor agonists and the risk for cancer: A meta-analysis of randomized controlled trials. Diabetes Obes Metab. 2025 Aug;27(8):4454-4468. doi: 10.1111/dom.16489. Epub 2025 May 29. |
| 38893212 | Result | Ochiai K, Bhutiani N, Ikeda A, Uppal A, White MG, Peacock O, Messick CA, Bednarski BK, You YN, Skibber JM, Chang GJ, Konishi T. Total Neoadjuvant Therapy for Rectal Cancer: Which Regimens to Use? Cancers (Basel). 2024 May 31;16(11):2093. doi: 10.3390/cancers16112093. |
| 37085291 | Result | Johnson GGRJ, Park J, Helewa RM, Goldenberg BA, Nashed M, Hyun E. Total neoadjuvant therapy for rectal cancer: a guide for surgeons. Can J Surg. 2023 Apr 21;66(2):E196-E201. doi: 10.1503/cjs.005822. Print 2023 Mar-Apr. |
| 40140925 | Result | Lin A, Ding Y, Li Z, Jiang A, Liu Z, Wong HZH, Cheng Q, Zhang J, Luo P. Glucagon-like peptide 1 receptor agonists and cancer risk: advancing precision medicine through mechanistic understanding and clinical evidence. Biomark Res. 2025 Mar 27;13(1):50. doi: 10.1186/s40364-025-00765-3. |
| 40285503 | Result | Miousse IR. GLP-1 receptor agonists in the context of cancer: the road ahead. Am J Physiol Cell Physiol. 2025 Jun 1;328(6):C1822-C1828. doi: 10.1152/ajpcell.00245.2025. Epub 2025 Apr 26. |
| 33567185 | Result | Wilding JPH, Batterham RL, Calanna S, Davies M, Van Gaal LF, Lingvay I, McGowan BM, Rosenstock J, Tran MTD, Wadden TA, Wharton S, Yokote K, Zeuthen N, Kushner RF; STEP 1 Study Group. Once-Weekly Semaglutide in Adults with Overweight or Obesity. N Engl J Med. 2021 Mar 18;384(11):989-1002. doi: 10.1056/NEJMoa2032183. Epub 2021 Feb 10. |
| 38967919 | Result | Wang L, Xu R, Kaelber DC, Berger NA. Glucagon-Like Peptide 1 Receptor Agonists and 13 Obesity-Associated Cancers in Patients With Type 2 Diabetes. JAMA Netw Open. 2024 Jul 1;7(7):e2421305. doi: 10.1001/jamanetworkopen.2024.21305. |
| 41806363 | Derived | Temperley HC, Coalter M, Creavin B, Jordan P, Hogan A, O'Sullivan J, O'Shea D, McCormick PH, Harrold E, Kelly ME. Evaluating the impact of GLP-1 receptor agonists in combination with total neoadjuvant therapy for locally advanced rectal cancer. Br J Surg. 2026 Apr 9;113(4):znag029. doi: 10.1093/bjs/znag029. |
| ID | Term |
|---|---|
| D009765 | Obesity |
| D050177 | Overweight |
| ID | Term |
|---|---|
| D044343 | Overnutrition |
| D009748 | Nutrition Disorders |
| D009750 | Nutritional and Metabolic Diseases |
| D001835 | Body Weight |
| D012816 | Signs and Symptoms |
| D013568 | Pathological Conditions, Signs and Symptoms |
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