Research on Intelligent Screening and Decision-making for Neoadjuvant Therapy in Locally Advanced Gastric Cancer Based on Multi-omics Integration

NCT ID: NCT06396143

Last Updated: 2024-05-02

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

RECRUITING

Total Enrollment

120 participants

Study Classification

OBSERVATIONAL

Study Start Date

2024-07-01

Study Completion Date

2025-12-01

Brief Summary

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In this study, investigators utilize a radiopathomics integrated Artificial Intelligence (AI) supportive system to predict tumor response to neoadjuvant chemoradiotherapy (nCRT) before its administration for patients with locally advanced gastric cancer (LAGC). By the system, the postoperative tumor regression grade (TRG) of the participants will be identified based on the radiopathomics features extracted from the pre-nCRT Enhanced CT and biopsy images. The ability to predict TRG will be validated in this multicenter, prospective clinical study.

Detailed Description

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This is a multicenter, prospective, observational clinical study for validation of a radiopathomics artificial intelligence (AI) system. Patients who have been diagnosed with gastric adenocarcinoma by pathology and defined as clinical stage II-IVa without distant metastasis by enhanced CT scan will be enrolled from the Second Affiliated Hospital of Zhejiang University, the First Affiliated Hospital of Zhejiang University, Shangyu People's Hospital of Shaoxing City and Zhejiang Cancer Institute \& Hospital. All participants should adhere to a highly standardized treatment protocol, which involves receiving either 2-4 courses of standard neoadjuvant chemotherapy based on 5-FU + platinum, or 2-4 courses of neoadjuvant chemotherapy based on 5-FU + platinum combined with trastuzumab, or 2-4 courses of neoadjuvant chemotherapy based on 5-FU + platinum combined with anti-PD-L1 therapy. Following the neoadjuvant treatment protocol, participants will undergo a D2 radical gastrectomy for gastric cancer. The enhanced CT and biopsy examination should be completed before the nCRT and the images will be subjected to the manual delineation of the tumor regions of interest (ROI) by experienced radiologists and pathologists. Subsequently, the enhanced CT and biopsy images outlined will be used in the radiological pathology AI system to generate predicted responses (predicted postoperative TRG grading) for individual patients, while actual responses (confirmed postoperative TRG grading) will be diagnosed in surgical resection specimens. Through comparisons of the predicted responses and true pathologic responses, investigators calculate the prediction accuracy, specificity, sensitivity as well as the Area Under Curve (AUC) of Receiver Operating Characteristic (ROC) curves. The aim of this study is to verify the high accuracy and robustness of the radiological pathology AI system in predicting postoperative TRG grading in individuals before nCRT, which will promote further precise treatment of locally advanced cancer patients.

Conditions

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Locally Advanced Gastric Carcinoma

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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Neoadjuvant chemotherapy group

a. Pathological diagnosis of gastric adenocarcinoma; b. The CT evaluation of gastric cancer is clinical stage II-IVa (≥ T3, and/or lymph node positive), with or without local tissue or organ invasion, and no distant metastasis; c. Acceptance criteria for 2-4 courses of 5-FU+platinum based neoadjuvant chemotherapy regimen. D2 gastric cancer radical surgery will be performed after the neoadjuvant treatment regimen; e. Enhanced CT images and digital images of HE stained gastroscopy biopsy sections before neoadjuvant therapy are available; f. Complete clinical diagnosis and treatment information, as well as expression information of targeted and immunotherapy related molecular markers.

No interventions assigned to this group

Neoadjuvant chemotherapy combined with PD1 or PDL1 group

a. Pathological diagnosis of gastric adenocarcinoma; b. The CT evaluation of gastric cancer is clinical stage II-IVa (≥ T3, and/or lymph node positive), with or without local tissue or organ invasion, and no distant metastasis; c. Acceptance criteria for a 2-4 course treatment regimen based on 5-FU+platinum neoadjuvant chemotherapy combined with anti PD-L1 therapy; d. D2 gastric cancer radical surgery was performed after the new adjuvant treatment regimen; e. Enhanced CT images and digital images of HE stained gastroscopy biopsy sections before neoadjuvant therapy are available; f. Complete clinical diagnosis and treatment information, as well as expression information of targeted and immunotherapy related molecular markers.

No interventions assigned to this group

Neoadjuvant chemotherapy combined with trastuzumab group

a. Pathological diagnosis of gastric adenocarcinoma; b. The CT evaluation of gastric cancer is clinical stage II-IVa (≥ T3, and/or lymph node positive), with or without local tissue or organ invasion, and no distant metastasis; c. Acceptance criteria for 2-4 courses of 5-FU+platinum neoadjuvant chemotherapy combined with trastuzumab regimen; d. D2 gastric cancer radical surgery was performed after the new adjuvant treatment regimen; e. Enhanced CT images and digital images of HE stained gastroscopy biopsy sections before neoadjuvant therapy are available; f. Complete clinical diagnosis and treatment information, as well as expression information of targeted and immunotherapy related molecular markers.

No interventions assigned to this group

Eligibility Criteria

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Inclusion Criteria

1. Pathological diagnosis of gastric adenocarcinoma
2. Gastric cancer CT evaluation is clinical stage II-IVa (≥ T3, and/or lymph node positive), with or without local tissue or organ invasion, and no distant metastasis.
3. Acceptance criteria for 2-4 courses of 5-FU+platinum neoadjuvant chemotherapy regimen, or 2-4 courses of 5-FU+platinum neoadjuvant chemotherapy combined with trastuzumab regimen, or 2-4 courses of 5-FU+platinum neoadjuvant chemotherapy combined with anti-PD-L1 treatment regimen.
4. D2 gastric cancer radical surgery after neoadjuvant therapy
5. Digital images of enhanced CT images and HE stained gastroscopy biopsy sections before neoadjuvant therapy are available.
6. Complete clinical diagnosis and treatment information, as well as expression information of targeted and immunotherapy related molecular markers.

Exclusion Criteria

1. Has a history of other tumors.
2. Insufficient imaging quality of CT or biopsy slides, unable to obtain features.
3. Unable to extract molecular information related to research from organizational samples.
4. Interruption of neoadjuvant therapy course for any reason.
Minimum Eligible Age

18 Years

Maximum Eligible Age

75 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Zhejiang University

OTHER

Sponsor Role lead

Responsible Party

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Jian Chen

Head of Gastrointestinal Surgery, Second affiliated hospital of Zhejiang university School of Medicine

Responsibility Role PRINCIPAL_INVESTIGATOR

Locations

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Gastrointestinal Department of First Affiliated Hospital of Zhejiang University

Hanzhou, Zhejiang, China

Site Status RECRUITING

Gastrointestinal Department of Second Affiliated Hospital of Zhejiang University

Hanzhou, Zhejiang, China

Site Status RECRUITING

Gastrointestinal Department of Zhejiang Cancer Hospital

Hanzhou, Zhejiang, China

Site Status RECRUITING

Shaoxing Shangyu People's Hospital

Shaoxing, Zhejiang, China

Site Status RECRUITING

Countries

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China

Central Contacts

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Jian Chen

Role: CONTACT

+86-13957102733

Facility Contacts

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Jian Chen

Role: primary

+8613957102733

Jian Chen

Role: primary

+86-13957102733

Jian Chen

Role: primary

+8613957102733

Jian Chen

Role: primary

+8613957102733

References

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Feng L, Liu Z, Li C, Li Z, Lou X, Shao L, Wang Y, Huang Y, Chen H, Pang X, Liu S, He F, Zheng J, Meng X, Xie P, Yang G, Ding Y, Wei M, Yun J, Hung MC, Zhou W, Wahl DR, Lan P, Tian J, Wan X. Development and validation of a radiopathomics model to predict pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer: a multicentre observational study. Lancet Digit Health. 2022 Jan;4(1):e8-e17. doi: 10.1016/S2589-7500(21)00215-6.

Reference Type BACKGROUND
PMID: 34952679 (View on PubMed)

Other Identifiers

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WKJ-ZJ-2310

Identifier Type: -

Identifier Source: org_study_id

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