ClinicalTrials.gg
Not yet recruitingNCT07314528Updated Jan 2, 2026

Evaluating the Impact of GLP-1 Receptor Agonists With Total Neoadjuvant Therapy in Rectal Cancer

A Phase 2 interventional study of GLP-1 receptor agonist and Total neoadjuvant therapy (TNT) in Rectal Cancer Patients, Obesity &Amp; Overweight and Locally Advanced Rectal Cancer (LARC), sponsored by St. James's Hospital, Ireland. Not yet recruiting. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2026-01-02.

Sponsored by St. James's Hospital, Ireland · Phase 2, Interventional, and Treatment

Phase
Phase 2
Study type
Interventional
Enrollment
42
Allocation
Randomized
Ages
18 Years and older
Sex
All
01

Study summary

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

  1. Does the drug increase weight loss in rectal cancer patients with a high BMI
  2. Does the drug improve response rates to chemotherapy and radiotherapy
  3. Does the drug improve survival outcomes and if cancer returns

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:

  1. Baseline: Prior to initiation of semaglutide or TNT
  2. Pre-TNT: Start of TNT (for the intervention arm, this is 4 weeks after semaglutide initiation)
  3. Post-TNT: Within 7 days following completion of TNT and prior to definitive surgery

Patients will complete their treatment and go on to have surgery as per standard methods for treating rectal cancer

Read the detailed description

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.

02

Conditions studied

  • Rectal Cancer Patients
  • Obesity &Amp; Overweight
  • Locally Advanced Rectal Cancer (LARC)
  • Total Neoadjuvant Therapy
  • GLP-1

Keywords

  • Locally Advanced Rectal Cancer
  • Total Neoadjuvant Therapy
  • GLP-1 Receptor Agonist
03

In context

Obesity

11,522 studies on the registry are indexed under Obesity; 2,033 are open to participants now.

This study's planned enrollment of 42 is below the median of 67 across 9,006 interventional studies indexed under Obesity.

Browse Obesity studies →

Lead sponsor

St. James's Hospital, Ireland is the lead sponsor of 28 studies on the registry; 6 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
No

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Written according to local guidelines obtained prior to any study-related activities.
  • confirmed mismatch repair protein proficient adenocarcinoma of the rectum.
  • ≥25 kg/m²
  • Radiological confirmed >T2, Node positive, Threatened Surgical Margin and/or EMVI+ by MRI
  • Imaging available for radiomics analysis
  • Absence of disease at registration.
  • Adequate renal function is defined as calculated (CrCl) >50ml/min.
  • > 1.5 cells/mm3, HGB > 8.0 gm/dl, > 150,000/mm3, total ≤ 1.5 x (except in patients with Gilbert's Syndrome who must have total bilirubin ≤ 3.0 x ULN), ≤ 3 x ULN, ALT ≤ 3 x ULN
  • Able to tolerate medication.
  • 0-2

Exclusion criteria

Exclusion Criteria:

  • Received prior chemotherapy or radiotherapy
  • Previous or concurrent active ≤ 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
  • disease at presentation
  • Patients unable to undergo MRI
  • Patients having already received weight-loss intervention (pharmacological or surgical)
Terms in these criteria, in plain language(12)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

Informed consent

Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.

You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.

Histologically or cytologically confirmed

The diagnosis was confirmed by looking at a sample under a microscope: tissue from a biopsy or surgery (histology), or cells from a fluid or needle sample (cytology).

Your pathology report is the document that shows this.

BMI (body mass index)

Weight in kilograms divided by height in metres squared. Example: 70 kg and 1.75 m gives 70 ÷ (1.75 × 1.75) ≈ 22.9.

What counts as overweight or obesity differs between countries (some use lower cut-offs), so go by the range the study states.

Metastases

Cancer that has spread from where it began to other parts of the body. “Metastatic” cancer is cancer that has spread this way.

Creatinine clearance (CrCl)

How quickly the kidneys clear creatinine, a waste product, from the blood. A study may estimate it from a blood test with age, weight and sex (often by the Cockcroft–Gault formula), or measure it using blood and urine collected over a set time. Given in mL/min; higher is better.

Absolute neutrophil count (ANC)

The number of neutrophils, white blood cells that help fight infection, in a given amount of blood. Too few raises the risk of infection.

It is a count, not a percentage of the white cells. Limits are written in units that mean the same: ≥ 1.5 × 10⁹/L is ≥ 1,500 per mm³ (µL). Each lab has its own reference range.

Platelets

Blood cells that help blood clot. Too few raises the risk of bleeding and bruising. A usual adult range is about 150–400 × 10⁹/L (150,000–400,000 per µL); each lab has its own reference range.

Bilirubin

A yellow substance made when red blood cells are broken down, which the liver clears. A high level can mean a problem with the liver or the bile ducts.

Criteria often allow more for people with Gilbert’s syndrome, a harmless inherited condition that raises bilirubin.

ULN (upper limit of normal)

The top of the normal range for a blood test, as set by the laboratory that runs it. Each lab prints its own range next to your result.

“≤ 2.5 × ULN” means the result can be up to two and a half times that top value.

ALT and AST (liver enzymes)

Two enzymes measured in a routine blood test of the liver. Higher levels can mean the liver is under strain or damaged. SGPT and SGOT are older names for ALT and AST.

Criteria usually give a limit as a multiple of the upper limit of normal (ULN), often higher when cancer has spread to the liver.

ECOG performance status

A scale of how much an illness limits everyday activity. For people being assessed to join a study, scores run from 0 (fully active) to 4; lower is more active.

0
Fully active, no restrictions.
1
Limited in strenuous activity, but walking and able to do light work, such as housework or office work.
2
Walking and able to look after yourself, but unable to work; up and about more than half of waking hours.
3
Able to look after yourself only in part; in bed or a chair more than half of waking hours.
4
Unable to look after yourself at all; in bed or a chair all day.

Studies most often ask for 0–1 or 0–2. Your doctor gives the score; the WHO scale uses the same steps. The full scale also has 5, which records death.

Cancer (malignancy)

Malignancy means cancer. Criteria about another or earlier malignancy ask whether you have had a different cancer, usually within a set number of years.

Some are commonly allowed, such as treated skin cancers other than melanoma and early cancers removed completely — check the exceptions this study lists.

05

Study design

Phase
Phase 2
Primary purpose
Treatment
Allocation
Randomized
Intervention model
Parallel assignment
Masking
None (open label)
Enrollment
42 participants (estimated)

Study arms

  • Experimental
    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

    Drug: GLP-1 receptor agonist · Drug: Total neoadjuvant therapy (TNT)

  • Active comparator
    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

    Drug: Total neoadjuvant therapy (TNT)

Interventions

  • 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

  • DrugTotal neoadjuvant therapy (TNT)

    Total ne-adjuvant therapy is standard treatment for locally advanced rectal cancer

06

What researchers measure

Primary outcomes

  1. Weight Loss

    Change in weight loss (Kilograms) between groups at 2 time points * Baseline * Pre TNT starting * Post TNT starting

    Time frame: 6 months

  2. 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.

    Time frame: From enrolment to operation within 1 year

  3. 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.

    Time frame: From enrolment to surgical resection within 1 year

  4. 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.

    Time frame: From enrolment to surgical resection within 1 year

  5. 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

    Time frame: From enrolment to surgical resection within 1 year

  6. 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.

    Time frame: From enrolment to surgical resection within 1 year

  7. 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.

    Time frame: From enrolment to surgical resection within 1 year

Secondary outcomes

  1. 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

    Time frame: 5 years

  2. Surgical Outcomes

    To compare operative complexity (e.g., operative time, blood loss (millilitres), conversion rates).

    Time frame: Enrolment to surgical intervention and 30 days post discharge

  3. Metabolic and Physiologic Outcomes:

    To measure changes in BMI, waist circumference, and visceral fat volume using imaging modalities. (kg/m2)

    Time frame: From enrolment to surgical resection within 1 year

  4. 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

    Time frame: 1 year

  5. 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.

    Time frame: 2 years

  6. 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.

    Time frame: From enrolment to surgical resection within 1 year

  7. 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.

    Time frame: From enrolment to surgical resection within 1 year

  8. 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.

    Time frame: From enrolment to surgical resection within 1 year

  9. Surgical Outcomes

    To assess postoperative complications, including anastomotic leak, wound infection, and ileus (Clavien-Dindo classification).

    Time frame: 30 days

  10. Surgical Outcomes

    To evaluate length of hospital stay and 30-day readmission rates

    Time frame: 30 days

  11. Metabolic and Physiologic Outcomes:

    To assess changes in insulin sensitivity, lipid profile, and inflammatory markers (e.g., CRP, IL-6).

    Time frame: From enrolment to 1 year

  12. 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).

    Time frame: Enrolment to 1 year

  13. 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.

    Time frame: From enrolment to1 year

  14. 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.

    Time frame: Enrolment to 1 year

  15. 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.

    Time frame: Enrolment to 1 year

  16. 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.

    Time frame: Enrolment to 1 year

07

Study locations

No study locations are listed for this record.

08

References and documents

Publications

  • 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. PubMed 38888262 ↗
  • 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. PubMed 36294412 ↗
  • 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. PubMed 35565381 ↗
  • 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. PubMed 39093546 ↗
  • 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. PubMed 32923389 ↗
  • 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. PubMed 40437949 ↗
  • 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. PubMed 38893212 ↗
  • 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. PubMed 37085291 ↗
  • 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. PubMed 40140925 ↗
  • 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. PubMed 40285503 ↗
  • 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. PubMed 33567185 ↗
  • 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. PubMed 38967919 ↗
  • 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. PubMed 41806363 ↗

Individual participant data

Plan to share: No — De identified data will not be available to anyone outside the study. This is in line with our ethics department and GDPR

09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reachedSimilar studies: half by the dot; the band is the middle halfHalf of similar studies reached it by the dot; the band is the middle half, from a quarter to three quarters

Start is estimated for Apr 2026; primary completion for Sep 2028, 29 months later.

Of 132 non-industry phase 2 interventional studies under Obesity, half reached primary completion within 35 months of starting (the median), counting those still running; a quarter within 15 and three quarters within 57. This study's planned 29 months is below that.

Counting every sponsor, half of 308 studies reached it within 16 months; a quarter within 10 and three quarters within 35.

How these figures are worked out, and which studies are left out of them.

Registered
Aug 28, 2025
First posted
Jan 2, 2026
StartEst.
Apr 2026
Primary completionEst.
Sep 2028
CompletionEst.
Sep 2028
Last update
Jan 2, 2026
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Jan 2, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT07314528
Lead sponsor
St. James's Hospital, Ireland
Responsible party
Ben Creavin (Colorectal Surgeon, St. James's Hospital, Ireland) — Principal investigator
First posted
Jan 2, 2026
Start date
Apr 2026 (estimated)
Primary completion
Sep 2028 (estimated)
Completion
Sep 2028 (estimated)
Last update
Jan 2, 2026

Study contacts

Michael Eamon Kelly, MB BAO BCH PhD FRCSI
Contact
kellym11@tcd.ie
00353876638956
Ben Creavin, MB BAO BCH MD FRCSI
Contact
bencreavin@rcsi.com
00353877830130
Michael Kelly, MB BAO BCH PHD FRCSI
principal investigator · St. James Hospital

Oversight

FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

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Discussion

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Studies of the drug tested here: GLP-1 Mimetic

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