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.
調査の概要
詳細な説明
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.
研究の種類
入学 (推定)
連絡先と場所
研究連絡先
- 名前：Ajay Goel
- 電話番号：626-256-4673
- メール：ajgoel@coh.org
研究場所
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California
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Duarte、California、アメリカ、91016
- 募集
- City of Hope Medical Center
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-
参加基準
適格基準
就学可能な年齢
- 大人
- 高齢者
健康ボランティアの受け入れ
サンプリング方法
調査対象母集団
説明
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)
研究計画
研究はどのように設計されていますか？
デザインの詳細
コホートと介入
グループ/コホート |
介入・治療 |
|---|---|
|
Responder
Patients with stage II/III gastric cancer who did not develop recurrence within 3 years after curative surgery following adjuvant chemotherapy.
|
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.
|
|
Non-responder
Patients with stage II/III gastric cancer who developed recurrence within 3 years after curative surgery following adjuvant chemotherapy.
|
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.
|
この研究は何を測定していますか？
主要な結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
|
Treatment response based on 3-year recurrence-free survival
時間枠：3 years after surgery
|
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.
|
3 years after surgery
|
二次結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
|
Diagnostic performance of the predictive model
時間枠：At model evaluation
|
Model performance was assessed using the area under the receiver operating characteristic curve, sensitivity, and specificity in the training and validation cohorts.
|
At model evaluation
|
|
Recurrence-free survival stratified by predefined model-derived risk score
時間枠：Up to 5 years after surgery
|
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.
|
Up to 5 years after surgery
|
協力者と研究者
研究記録日
主要日程の研究
研究開始 (実際)
一次修了 (推定)
研究の完了 (推定)
試験登録日
最初に提出
QC基準を満たした最初の提出物
最初の投稿 (実際)
学習記録の更新
投稿された最後の更新 (実際)
QC基準を満たした最後の更新が送信されました
最終確認日
詳しくは
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