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Rectal Cancer Neoadjuvant Therapy-Real World Study

Establishing a Strategy for Selecting Watchful Waiting and Determining the Optimal Timing for Surgery Following Neoadjuvant Therapy

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT07566559
Acronym
RC-NAT-RWS
Enrollment
869
Registered
2026-05-05
Start date
2025-01-01
Completion date
2028-12-31
Last updated
2026-05-05

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Rectal Cancer

Keywords

Rectal cancer, Real world study, Neoadjuvant Therapy

Brief summary

This study aims to utilise a real-world data platform to integrate multi-omics data-including radiomics, gut microbiota, pathological quality control and liquid biopsy-to construct a multidimensional predictive model for the efficacy of rectal cancer treatment following neoadjuvant therapy. By integrating multimodal data, the study aims to accurately assess the efficacy of neoadjuvant therapy and identify patients suitable for a 'watch-and-wait' strategy, thereby achieving tumour control and preserving organ function without the need for surgery. Furthermore, it seeks to provide scientific evidence for the efficacy of the 'watch-and-wait' strategy and the selection of optimal timing for surgery, whilst validating the model's effectiveness and assessing its clinical feasibility through prospective clinical trials.

Detailed description

1. Optimisation and predictive modelling of immunotherapy combined with neoadjuvant chemoradiotherapy Through real-world studies, we will evaluate the efficacy and safety of immunotherapy combined with neoadjuvant chemoradiotherapy in patients with locally advanced rectal cancer, focusing on comparing outcomes with traditional chemoradiotherapy regimens to optimise neoadjuvant treatment protocols. By integrating radiomics and molecular subtyping data, we will develop a deep learning model to predict the rate of pathological complete response, thereby accurately forecasting treatment outcomes for patients. This model can further optimise personalised treatment decisions, enhance the effectiveness of organ-preservation strategies, and ultimately reduce surgical trauma for patients. 2. A Treatment Efficacy Assessment System Combining Multi-omics Data with Artificial Intelligence Integrate multi-omics data (such as molecular subtyping, radiomics, and pathological assessment) with artificial intelligence technology to establish a treatment efficacy assessment system. Utilise deep learning models to analyse pre- and post-treatment imaging data and pathological samples, thereby achieving precise efficacy assessment.

Interventions

OTHERThis study is a multicenter, real-world, non-interventional study.

non-interventional study

Sponsors

Beijing Friendship Hospital
Lead SponsorOTHER

Study design

Observational model
OTHER
Time perspective
OTHER

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* The patient is informed and has provided written informed consent; * Rectal adenocarcinoma confirmed by colonoscopic biopsy and pathology, meeting the following criteria: 1. Clinical stage II/III locally advanced rectal cancer (LARC): cT1-4aN0-2M0; 2. The distal edge of the tumor is ≤ 10 cm from the anal verge (measured by MRI); 3. No distant metastasis; 4. Scheduled to receive neoadjuvant therapy; * Age ≥ 18 years, male or female。

Exclusion criteria

* Presence of distant organ metastasis; * Multiple primary colorectal cancers; * History of prior malignancy (except completely cured carcinoma in situ of the cervix, basal cell carcinoma, or squamous cell carcinoma of the skin).

Design outcomes

Primary

MeasureTime frameDescription
To compare the complete response rates across different treatments.Post-neoadjuvant Therapy Efficacy Assessment Time Point (within 8-12 weeks after radiotherapy completion)Compare the complete response rates (including pathological complete response \[pCR\] and clinical complete response \[cCR\]) between a neoadjuvant regimen combining chemoradiotherapy with immunotherapy and the traditional neoadjuvant chemoradiotherapy regimen, in patients with locally advanced rectal cancer.

Secondary

MeasureTime frameDescription
Safety profile20 weeks after the first radiotherapy sessionAdverse Events (AEs): Type, incidence, severity, and relationship to the study treatment. Severity was graded according to the National Cancer Institute Common Terminology Criteria for Adverse Events, Version 5.0 (NCI-CTCAE v5.0).
Therapy Tolerability20 weeks after the first radiotherapy sessionThe proportions of patients with dose interruption, dose reduction, and treatment discontinuation during the neoadjuvant treatment period, all due to treatment-related toxicity.
Disease-Free Survival (DFS)within 5 years after completion of neoadjuvant therapyDisease-Free Survival (DFS) is a key endpoint (a measure of outcome) used primarily in oncology clinical trials, especially for evaluating adjuvant or curative treatments.

Countries

China

Contacts

CONTACThongwei Yao, Professor, Doctoral Degree
yaohongwei@ccmu.edu.cn63139203

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: May 6, 2026