- ICH GCP
- 미국 임상 시험 레지스트리
- 임상시험 NCT07587229
Alternative Splicing Based Prediction of Chemotherapy Response in Gastric Cancer
A Multicenter Observational Study to Develop and Validate an Alternative Splicing-Based Machine Learning Model for Predicting Response to 5-FU-Based Adjuvant Chemotherapy in Gastric Cancer (VERSA-GC Study)
This study aims to develop a model to predict response to chemotherapy in gastric cancer using RNA splicing information from tumor tissue.
By analyzing genetic patterns and applying machine learning, the study seeks to identify patients who are less likely to benefit from treatment, helping guide clinical decision-making.
연구 개요
상세 설명
This multicenter observational study aims to develop and validate an alternative splicing (AS)-based model to predict response to 5-FU-based adjuvant chemotherapy in stage II/III gastric cancer.
AS events were identified using TCGA SpliceSeq and UCSC Xena data, and selected candidates were quantified by RT-qPCR.
A predictive model was constructed using Elastic Net-based feature selection and XGBoost, and evaluated in independent training and validation cohorts. An integrated model incorporating clinicopathological factors was also developed.
The primary endpoint is treatment response defined by 3-year recurrence-free survival. Patients with recurrence within 3 years are classified as non-responders, and those without recurrence as responders.
This study aims to establish a clinically applicable biomarker for risk stratification and treatment decision support.
연구 유형
등록 (추정된)
연락처 및 위치
연구 연락처
- 이름: Ajay Goel
- 전화번호: 626-256-4673
- 이메일: ajgoel@coh.org
연구 장소
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California
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Duarte, California, 미국, 91016
- 모병
- City of Hope Medical Center
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참여기준
자격 기준
공부할 수 있는 나이
- 성인
- 고령자
건강한 자원 봉사자를 받아들입니다
샘플링 방법
연구 인구
설명
Inclusion Criteria:
- Pathologically confirmed stage II or III gastric cancer
- Underwent curative surgical resection
- Received 5-FU-based adjuvant chemotherapy
- Availability of tumor tissue samples for analysis
Exclusion Criteria:
- History of other malignancies
- Inadequate or poor-quality tissue samples (e.g., contamination)
공부 계획
연구는 어떻게 설계됩니까?
디자인 세부사항
코호트 및 개입
그룹/코호트 |
개입 / 치료 |
|---|---|
|
Responder
Patients with stage II/III gastric cancer who did not develop recurrence within 3 years after curative surgery following adjuvant chemotherapy.
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This is an observational study without assigned interventions.
All patients received standard-of-care 5-FU-based adjuvant chemotherapy, and no experimental intervention was performed.
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Non-responder
Patients with stage II/III gastric cancer who developed recurrence within 3 years after curative surgery following adjuvant chemotherapy.
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This is an observational study without assigned interventions.
All patients received standard-of-care 5-FU-based adjuvant chemotherapy, and no experimental intervention was performed.
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연구는 무엇을 측정합니까?
주요 결과 측정
결과 측정 |
측정값 설명 |
기간 |
|---|---|---|
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Treatment response based on 3-year recurrence-free survival
기간: 3 years after surgery
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Treatment response was defined based on recurrence-free survival (RFS).
Patients who developed recurrence within 3 years after curative surgery were classified as non-responders, whereas those without recurrence were classified as responders.
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3 years after surgery
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2차 결과 측정
결과 측정 |
측정값 설명 |
기간 |
|---|---|---|
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Diagnostic performance of the predictive model
기간: At model evaluation
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Model performance was assessed using the area under the receiver operating characteristic curve, sensitivity, and specificity in the training and validation cohorts.
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At model evaluation
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Recurrence-free survival stratified by predefined model-derived risk score
기간: Up to 5 years after surgery
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Recurrence-free survival will be evaluated according to the predefined model-derived risk score using Kaplan-Meier survival analysis and Cox proportional hazards models.
Recurrence status within 3 years after surgery will be used to define treatment response.
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Up to 5 years after surgery
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공동 작업자 및 조사자
연구 기록 날짜
연구 주요 날짜
연구 시작 (실제)
기본 완료 (추정된)
연구 완료 (추정된)
연구 등록 날짜
최초 제출
QC 기준을 충족하는 최초 제출
처음 게시됨 (실제)
연구 기록 업데이트
마지막 업데이트 게시됨 (실제)
QC 기준을 충족하는 마지막 업데이트 제출
마지막으로 확인됨
추가 정보
이 정보는 변경 없이 clinicaltrials.gov 웹사이트에서 직접 가져온 것입니다. 귀하의 연구 세부 정보를 변경, 제거 또는 업데이트하도록 요청하는 경우 register@clinicaltrials.gov. 문의하십시오. 변경 사항이 clinicaltrials.gov에 구현되는 즉시 저희 웹사이트에도 자동으로 업데이트됩니다. .
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