Clinical trials: Predictive Cancer Model
Colorectal Cancer, Colorectal Adenoma
COLO-COHORT (Colorectal Cancer Cohort) Study
This is a cross-sectional study aimed at identifying factors which best predicts patients at high risk of colorectal cancer or colorectal adenomas and to develop a risk prediction model.
- Conditions
- Colorectal Cancer, Colorectal Adenoma, Colorectal Neoplasm, Predictive Cancer Model
- Trial name
- NCT04185779
- Testing
- Colonoscopy
- Where
- 3 sites in United Kingdom
- Volunteers
- 15,000 people
- Sponsor
- South Tyneside and Sunderland NHS Foundation Trust
Triple -Negative Breast Cancertriple, Meta-Learning
Establishment of a Multi-omics Prediction Model for Early Triple-negative Breast Cancer Based on UPGRADE-TNBC Study
Based on the UPGRADE-TNBC study, a high-quality TNBC sample repository was established. By integrating multi-source data-including clinical information, radiomics, pathological images, and molecular sequencing-and innovatively…
- Conditions
- Triple -Negative Breast Cancertriple, Meta-Learning, Predictive Models, Multimodal
- Trial name
- NCT07773818
- Testing
- Collect data
- Where
- China
- Volunteers
- 32 people
- Sponsor
- Cancer Institute and Hospital, Chinese Academy of Medical Sciences
Ovarian Cancer, Neoadjuvant Chemotherapy
New Prognostic Index for Neoadjuvant Chemotherapy Outcome in Patients With Advanced High-grade Serous Ovarian Cancer
A validated prognostic index for the outcome of advanced high-grade serous ovarian cancer (HGSOC) patients undergoing neoadjuvant chemotherapy (NACT) is still lacking.
- Conditions
- Ovarian Cancer, Neoadjuvant Chemotherapy, Prognostic Cancer Model
- Trial name
- NCT06120309
- Testing
- CRS scoring, Routine blood laboratory testing before treatment
- Where
- China
- Volunteers
- 465 people
- Sponsor
- Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
Predictive Cancer Model, Lung Cancer
CT-based Radiomic Algorithm for Assisting Surgery Decision and Predicting Immunotherapy Response of NSCLC
The purpose of this study was to investigate whether the combined radiomic model based on radiomic features extracted from focus and perifocal area (5mm) can effectively improve prediction performance of distinguishing…
- Conditions
- Predictive Cancer Model, Lung Cancer, Preinvasive Adenocarcinoma
- Trial name
- TOP-RLC (NCT04452058)
- Testing
- Radiomic Algorithm
- Where
- 3 sites in China
- Volunteers
- 500 people
- Sponsor
- Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
Breast Cancer, Perimenopause
AMH Dynamic Changes to Predict Ovarian Reserve in Perimenopausal Breast Cancer
This study is a prospective observational cohort study aimed at developing a clinical model based on dynamic changes in anti-Müllerian hormone (AMH) to predict ovarian reserve in perimenopausal women with hormone…
- Conditions
- Breast Cancer, Perimenopause, Ovarian Reserve
- Trial name
- NCT07497191
- Volunteers
- 300 people
- Sponsor
- Shengjing Hospital
Rectal Neoplasms
Selection of Surgical Technique in Rectal Cancer
Currently, there is no prediction scale available to identify patients with rectal neoplasms as technically complex in the middle and lower thirds; that is, those who are at high risk of affected circumferential margins and low…
- Trial name
- TECARE (NCT06442215)
- Testing
- Data collection
- Where
- Spain
- Volunteers
- 333 people
- Sponsor
- Institut d'Investigació Biomèdica de Girona Dr. Josep Trueta
Predictive Cancer Model, Localized Prostate Carcinoma
Generation and Validation of Predictive Models for Localized Prostate Cancer Treated With External Radiotherapy.
The generation of predictive models in radiotherapy has seen a significant increase. In 2017, Raymond published the largest systematic review of predictive prognostic models for biochemical relapse (BR), metastasis-free survival…
- Trial name
- NCT06092918
- Testing
- EXTERNAL RADIOTHERAPY
- Volunteers
- 700 people
- Sponsor
- Consorci Sanitari de Terrassa
Colorectal Cancer
A Predictive Model for Recurrence of Colorectal Cancer Based on Multi-omics of Portal Vein Blood
This multi-center study aims to develop a precise predictive model for colorectal cancer (CRC) recurrence and metastasis based on multi-omics analysis of portal vein blood.
- Trial name
- PVMRD (NCT06524245)
- Where
- China
- Volunteers
- 350 people
- Sponsor
- Peking University Shougang Hospital
IBD (Inflammatory Bowel Disease), Colon Cancer
Microbiota: Its Role in Chronic Inflammation, IDB and Risk of Colorectal Cancer. Evaluation of a Predictive Prognostic Model With Therapeutic Implications
The gut microbiome is emerging as a crucial factor in several intestinal diseases, contributing to the etiopathogenesis of inflammatory disorders.
- Trial name
- NCT07106463
- Where
- Italy
- Volunteers
- 100 people, healthy volunteers welcome
- Sponsor
- University of Messina
Hepatitis C, Chronic, Sustained Virological Response
Prediction of Liver-related Outcomes After HCV Cure
Objectives: To develop and validate a predictive model, applicable to daily practice, of liver complications emergence in hepatitis C virus (HCV)-infected patients and advanced fibrosis, who have achieved sustained viral response…
- Conditions
- Hepatitis C, Chronic, Sustained Virological Response, Direct-acting Antivirals, Hepatocellular Carcinoma
- Trial name
- NCT04460157
- Where
- Spain
- Volunteers
- 1,035 people
- Sponsor
- Hospital Universitario de Valme
Rectal Neoplasm Malignant Carcinoma, Chemoradiotherapy
Study on Predictive Biomarkers of Neoadjuvant Chemoradiotherapy for Rectal Cancer
Backgrounds: A multicenter randomized phase III trial (NCT02605265) proved that adding irinotecan guided by UGT1A1 to capecitabine-based neoadjuvant chemoradiotherapy significantly increases complete tumor response.
- Conditions
- Rectal Neoplasm Malignant Carcinoma, Chemoradiotherapy, Neoadjuvant Therapy, Predictive Biomarkers
- Trial name
- NCT04227886
- Testing
- Radiation, Capecitabine-Irinotecan Combination
- Where
- China
- Volunteers
- 250 people
- Sponsor
- Fudan University
Non-small Cell Lung Cancer Metastatic
Predictive Multimodal Signatures Associated With Response to Treatment and Prognosis of Patients With Stage IV Non-small Cell Lung Cancer
Predicting response to therapy and disease progression in stage IV NSCLC patients treated with pembrolizumab monotherapy, chemotherapy-pembrolizumab combination therapy or chemotherapy alone in the first-line setting.
- Trial name
- DEEP-Lung-IV (NCT04994795)
- Testing
- Predictive models (data collection)
- Where
- 30 sites in United States, Brazil and 6 more
- Volunteers
- 4,000 people
- Sponsor
- Sophia Genetics SAS
Breast Cancer, Sentinel Lymph Node
Impact of a Predictive Model on Sentinel Lymph Node Biopsy in Initially Lymph Node-positive, HER2-positive Breast Cancer
The aim of the study was to develop and validate a nomogram to assess axillary pathological complete response (pCR) in patients with initially lymph node-positive, human epidermal growth factor receptor 2 (HER2)-positive breast…
- Trial name
- NCT06149377
- Testing
- Test cohort
- Where
- China
- Volunteers
- 716 people
- Sponsor
- Fujian Medical University Union Hospital
Predictive Cancer Model
Prognostic Evaluation Prediction Model Survival Spinal Epidural Metastases
Patients with symptomatic spinal metatstasis will be prosepectively included in a database after theu signes informed consent. Minimally six months after inclusion the survival status is analyzed.
- Trial name
- NCT06411015
- Where
- Netherlands
- Volunteers
- 428 people
- Sponsor
- Radboud University Medical Center
Pancreatic Cancer Resectable, Pancreatic Cancer Non-resectable
Construction of a Predictive Model for the Efficacy of Chemoprevention Combined With Targeted Therapy in Pancreatic Cancer
This study is a single-center, observational clinical trial designed to enroll a total of 70 pancreatic cancer patients. Tumor tissue sections from 60 patients will be retrospectively collected to establish a treatment response…
- Trial name
- NCT07326150
- Testing
- Sample Collection
- Where
- China
- Volunteers
- 70 people
- Sponsor
- Zhejiang Cancer Hospital
Glioblastoma, Organoid
Drug Response Testing and Repurposing Using Glioblastoma Organoid
The aim of this observational study, based on a prospectively collected cohort, is to evaluate the prognostic value of patient-derived organoids in predicting responses to conventional and repurposing drugs, including…
- Trial name
- NCT06782984
- Testing
- Organoid-based drug sensitivity test
- Where
- South Korea
- Volunteers
- 150 people
- Sponsor
- Chungnam National University Hospital
Papillary Thyroid Cancer
Clinical Validation of a Predictive Model for the Presence of Cervical Lymph Node Metastasis in Papillary Thyroid Cancer
This research study is performed to compare the accuracy of two methods of lymph node evaluation: research method versus standard method.
- Trial name
- NCT02442661
- Where
- United States
- Volunteers
- 103 people
- Sponsor
- University of Colorado, Denver
Predictive Cancer Model
Prospective Validation of Liver Cancer Risk Computation (LIRIC) Models
The goal of this prospective observational cohort study is to validate previously developed Hepatocellular Carcinoma (HCC) risk prediction algorithms, the Liver Risk Computation (LIRIC) models, which are based on electronic…
- Trial name
- NCT06140823
- Testing
- Liver Risk Computation Model (LIRIC), Liver Risk Computation Model (LIRIC)_cirrhosis, Liver Risk Computation Model (LIRIC)_no_cirrhosis
- Where
- United States
- Volunteers
- 6,000,000 people, healthy volunteers welcome
- Sponsor
- Beth Israel Deaconess Medical Center