Clinical trials: Predictive Cancer Model
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
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
Cervical Cancer Treated with Pelvic Radiotherapy, Cervical Cancers
Establishment and Validation of Prediction Model of Simultaneous Chemoradiotherapy for Cervical Cancer Organoids
This is a single-arm, single-center, open-label, Phase II study aimed at assessing the efficacy of organoids in predicting the response to radiotherapy and chemotherapy in cervical cancer
- Trial name
- ECCO (NCT06786780)
- Testing
- Drug: Cisplatin
- Where
- China
- Volunteers
- 50 people
- Sponsor
- Chongqing University Cancer Hospital
Non-small Cell Lung Cancer, Pulmonary Nodule, Multiple
Breath Combined With CT for Diagnoses of Pulmonary Nodules
Pulmonary nodules diagnosis using breath test of volatile organic compound (VOC) is in its infancy. The accuracy of VOC analysis in diagnosing malignant pulmonary nodules varies cross the published studies.
- Trial name
- NCT04948047
- Testing
- Pathological examinations as the golden diagnosis criteria, Breath test combined with computed tomography
- Where
- China
- Volunteers
- 900 people
- Sponsor
- Peking University People's 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
Paraganglioma, Pheochromocytoma
Development of a Predictive Model for the Risk of Metastatic Disease in PPGLs, a Retrospective Cohort Study
Phaeochromocytomas and paragangliomas (PPGLs) are tumours of the adrenal medulla and extra-adrenal sympathetic nervous system, some which can become metastatic. It is a very rare disease and the tumours are often detected late.
- Conditions
- Paraganglioma, Pheochromocytoma, Genetic Predisposition to Disease, Pathology
- Trial name
- PPGL-Pred (NCT04788927)
- Where
- 2 sites in Denmark
- Volunteers
- 400 people
- Sponsor
- Copenhagen University Hospital, Rigshospitalet
Pancreatic Adenocarcinoma, Predictive Cancer Model
Prospective Validation of an EHR-based Pancreatic Cancer Risk Model
The goal of this prospective observational cohort study is to validate a previously developed pancreatic cancer risk prediction algorith (the PRISM model) using electronic health records from the general population.
- Trial name
- NCT05973331
- Testing
- Pancreatic Cancer Risk Model (PRISM)
- Where
- United States
- Volunteers
- 6,134,060 people, healthy volunteers welcome
- Sponsor
- Beth Israel Deaconess Medical Center
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
Gastric Cancer (GC)
Development and Validation of the Surgical Assessment and Healthcare (SAH) Index for Gastric Cancer Treatment Evaluation
This study develops the Surgical Assessment and Healthcare (SAH) Index, a new tool to fairly evaluate gastric cancer surgery outcomes.
- Trial name
- SAH (NCT07180966)
- Where
- China
- Volunteers
- 780 people
- Sponsor
- Ruijin Hospital
Biliary Tract Cancer, Immune Checkpoint Inhibitor
Exploratory Study on the Therapeutic Effect Prediction Model of Advanced BTC Immunotherapy
1. Establish a predictive model for the efficacy of immune checkpoint inhibitors (ICI) in Chinese patients with biliary tract cancers.
- Conditions
- Biliary Tract Cancer, Immune Checkpoint Inhibitor, Predictive Cancer Model
- Trial name
- NCT06074029
- Testing
- Immune Checkpoint Inhibitors
- Where
- China
- Volunteers
- 50 people
- Sponsor
- Peking Union Medical College Hospital
Multiple Pulmonary Nodules
Prediction Model for Multiple Pulmonary Nodules
This study compares the sensitivity, specificity and accuracy of radiologists, thoracic surgeons and a predictive model (PKUM model) to discriminate malignancy from benign nodules in patients with multiple pulmonary nodules.
- Trial name
- NCT03795181
- Where
- China
- Volunteers
- 59 people
- Sponsor
- Peking University People's Hospital
Cervical Intraepithelial Neoplasia
Factors Associated With Residual Disease In The Central Cone
Cervical conization using the loop electrosurgical excision procedure (LEEP) is the standard treatment for patients with high-grade cervical intraepithelial neoplasia.
- Trial name
- FARDCC (NCT03788850)
- Volunteers
- 397 people
- Sponsor
- National Institute of Cancerología
Breast Cancer
Organoid Model Predictive of Response to Immunotherapies
The purpose of this study is to create models out of tissue samples and treat those models with the same immunotherapy treatment the patient will be receiving, in order to validate this process and to predict responses to…
- Trial name
- NCT06084676
- Testing
- Immunotherapy
- Where
- United States
- Volunteers
- 1 people
- Sponsor
- Indiana University
Solid Tumor, Predictive Cancer Model
Radiomics of Immunotherapeutics Response Evaluation and Prediction
This study aims to investigate the feasibility and efficiency of CT radiomic analysis which serves as a high through-put analytical strategy applied to image big-data resource in evaluating and predicting the response of…
- Trial name
- RIREP (NCT04079283)
- Testing
- Clinical, Semantic, Radiomic
- Where
- China
- Volunteers
- 285 people
- Sponsor
- Tianjin Medical University Cancer Institute and Hospital
Pseudomyxoma Peritonei, Colorectal Carcinoma
Peritoneal Surface Malignancies - Characterization, Models and Treatment Strategies
The aim of this study is to identify biomarkers of disease recurrence and prognosis to optimize patient selection for treatment with cytoreductive surgery (CRS) with hyperthermic intraperitoneal chemotherapy (HIPEC), and through…
- Conditions
- Pseudomyxoma Peritonei, Colorectal Carcinoma, Ovarian Carcinoma, Mesothelioma
- Trial name
- PSM (NCT02073500)
- Testing
- Observational study.
- Where
- Norway
- Volunteers
- 300 people
- Sponsor
- Oslo University Hospital
Lung Cancer
Value-Based Medicine (VBM) for Lung Cancer
This is a prospective observational monocentric trial. The primary endpoint is the validation of predictive models. These predictive models will be used to develop a personalized clinical-functional risk profile for estimating in…
- Trial name
- VBM (NCT06703866)
- Testing
- Non Small Cell Lung Cancer (NSCLC)
- Where
- Italy
- Volunteers
- 200 people
- Sponsor
- European Institute of Oncology
Lymphedema, Secondary Lymphedema
Efficacy of Complete Decongestive Therapy for Limb Lymphedema: Response Profile and Predictive Modeling
Background: Complete decongestive therapy (CDT) is the standard treatment for lymphedema, but response varies by localization and laterality.
- Conditions
- Lymphedema, Secondary Lymphedema, Breast Cancer-Related Lymphedema, Upper Extremity Lymphedema
- Trial name
- LYMPH-PROG (NCT07878598)
- Testing
- Intensive phase of Complete Decongestive Therapy
- Where
- Russia
- Volunteers
- 150 people
- Sponsor
- Ryazan State Medical University
Clear Cell Renal Cell Carcinoma, Prognostic Cancer Model
Contrast-enhanced CT-based Deep Learning Model for Preoperative Prediction of Disease-free Survival (DFS) in Localized Clear Cell Renal Cell Carcinoma (ccRCC)
This study aims to preoperatively predict DFS of patients with localised ccRCC using a deep learning prognostic model based on enhanced contrast CT images, validate it's predictive ability in multicentre data and compare it's…
- Conditions
- Clear Cell Renal Cell Carcinoma, Prognostic Cancer Model, Recurrent Renal Cell Cancer
- Trial name
- NCT06088134
- Where
- China
- Volunteers
- 800 people
- Sponsor
- Mingzhao Xiao
Breast Cancer Female
Real Time Molecular Analysis of Breast Cancer Receiving Neo-adjuvant Chemotherapy
The present project aims at identifying robust candidates for drug resistance in BC patients eligible for NAC. Its originality lies upon the combination of three different and complementary prospective approaches: from the…
- Trial name
- NEO-R (NCT04504747)
- Testing
- molecular analysis of blood and tumor
- Where
- France
- Volunteers
- 150 people
- Sponsor
- Institut Paoli-Calmettes
Prognostic Cancer Model, Chemotherapy
Colorectal Cancer Dataset in Xijing Hospital From 2011
To compare the differences of clinical pathological, treatment and prognosis in the guided subgroups in colorectal cancer, the investigator enrolled all the colorectal cancer patients who underwent surgery and were hospitalized…
- Conditions
- Prognostic Cancer Model, Chemotherapy, Nutrition Related Cancer
- Trial name
- NCT06308354
- Where
- China
- Volunteers
- 40,000 people
- Sponsor
- Xijing Hospital