Clinical trials: Predictive Cancer Model
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
Lung Cancer, Solid Pulmonary Nodules
Constructing a Predictive Model for Differentiating Between Benign and Malignant Solid Pulmonary Nodules Based on Clinical and Imaging Features.
Study Objective: To comprehensively analyze the preoperative clinical and imaging characteristics of solid pulmonary nodules, investigate the risk factors associated with malignant solid pulmonary nodules, and provide a reference…
- Conditions
- Lung Cancer, Solid Pulmonary Nodules, Pulmonary Nodules
- Trial name
- NCT06685458
- Testing
- Preoperative Clinical and Imaging Feature Evaluation for Predictive Modeling
- Volunteers
- 320 people
- Sponsor
- The Third Affiliated Hospital of Kunming Medical College.
Gastric Cancer, Adenocarcinoma of the Stomach
Radiomics and Molecular Expression Predictive Model for Esophago-Gastric Junction and Gastric Cancer TRG
The aim of this study is to develop a CT scan-based radiomics predictive model about tumor regression grade (TRG) in patients with esophago-gastric junction (EGJ) ang gastric cancer undergoing perioperative chemotherapy.
- Trial name
- NCT04878783
- Testing
- CT scan
- Where
- 5 sites in Italy, Netherlands
- Volunteers
- 138 people
- Sponsor
- University of Roma La Sapienza
Gastric Cancer, Immunotherapy
The Construction of a Predictive Model for Gastric Cancer Immunotherapy Response Based on Tumor-Infiltrating Lymphocytes (TILs) and Histone H3K4me3 in the Tumor Microenvironment
Gastric cancer is one of the cancers with a high mortality rate globally, and its treatment outcomes urgently need to be improved.
- Trial name
- NCT07069842
- Testing
- Multiplex Immunofluorescence Technology, Co-Immunoprecipitation (Co-IP) Technology, Immunohistochemistry
- Where
- China
- Volunteers
- 170 people
- Sponsor
- Changzhi People's Hospital Affiliated to Changzhi Medical College
Prognostic Cancer Model
Prognostic Significance of ctDNA in HL
Specific somatic mutations using ctDNA will be analyzed in predefined subgroups of cHL (e.g., age <60 and ≥ 60 years, EBV). These mutations will be correlated with response to the treatment in the first line, in the relapse…
- Trial name
- NCT06263530
- Where
- 5 sites in Czechia
- Volunteers
- 500 people
- Sponsor
- Interni hematologicka klinika FNKV
Diffuse Large B Cell Lymphoma, Thrombosis
Thrombosis in Diffuse Large B-cell Lymphoma:the PREDIC-TO (PREDICt ThrOmbosis) Study
Comparative Evaluation of Thrombotic Risk Models in DLBCL patients Objective: To assess the impact of thrombotic risk factors and compare the performance of existing predictive models (Khorana, Throly, Model IX) in Diffuse Large…
- Trial name
- PREDIC-TO (NCT06694779)
- Where
- Italy
- Volunteers
- 1,504 people
- Sponsor
- Fondazione IRCCS San Gerardo dei Tintori
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
Melanoma, Circulating Tumor Cell
Ex Vivo Expansion of Circulating Tumor Cells as a Model for Cancer Predictive Pharmacology
Several studies conducted over the past decade have shown that Circulating tumor cells (CTCs) can be used as a marker for predicting disease progression and survival in patients with early or metastatic cancer.
- Trial name
- EXPEVIVO-CTC (NCT03797053)
- Testing
- Biological sample
- Where
- France
- Volunteers
- 450 people
- Sponsor
- Assistance Publique - Hôpitaux de Paris
Pancreatic Ductal Adenocarcinoma
Prediction of Neoadjuvant Chemotherapy Response in Pancreatic Cancer
This study aims to develop and validate a predictive microRNA (miRNA) panel to assess the response to neoadjuvant chemotherapy (NACT) in patients with resectable and borderline resectable pancreatic ductal adenocarcinoma (PDAC).
- Trial name
- PRECEPT (NCT07226154)
- Testing
- Small RNA sequencing, PRECEPT assay (qRT-PCR validation)
- Where
- United States
- Volunteers
- 200 people
- Sponsor
- City of Hope Medical Center
Breast Neoplasms
Prediction of Axillary Lymph Node Metastasis Status in Breast Cancer Based on PET/CT Radiomics
Patients with suspected breast cancer undergoing PET/CT at our hospital. The PET/CT center's chief physician and senior attending physician reviewed the films together and disagreement, if any, was resolved by consensus.
- Trial name
- NCT05826197
- Testing
- Radiomics
- Volunteers
- 100 people
- Sponsor
- First Affiliated Hospital Xi'an Jiaotong University
Lung Adenocarcinoma, Surgery
DNA Methylation Biomarkers to Predict Survival After Surgery for Lung Adenocarcinoma
This study is designed to assess DNA 5-methylcytosine (5mC) methylation modifications in lung adenocarcinoma (LUAD) samples and develop a prognosis-predictive model for LUAD based on cancer tissue DNA 5mC levels.
- Conditions
- Lung Adenocarcinoma, Surgery, Prognostic Cancer Model
- Trial name
- NCT06477211
- Where
- China
- Volunteers
- 292 people
- Sponsor
- Nanjing University
Lung Cancer
Radiomics: a Study of Outcome in Lung Cancer
Aim of the study: The main aim is to collect data of patients with lung cancer, and to perform different analyses on this data. The data contains information on patient and tumor characteristics, imaging, and treatment…
- Trial name
- Radiomics (NCT01302626)
- Where
- 3 sites in United States, Italy and 1 more
- Volunteers
- 216 people
- Sponsor
- Maastricht Radiation Oncology
Prostate Cancer, Risk Assessment
PROstate Cancer Risk Calculator for ACTionable Clinical Decision-making in Nigeria
This study is a pilot trial that builds on findings from the validation of prostate cancer risk calculators in Nigerian men. The goal of the overall study is to improve the early detection of prostate cancer in a high-risk…
- Conditions
- Prostate Cancer, Risk Assessment, Clinical Decision Support Systems, Predictive Value of Tests
- Trial name
- PROACT (NCT07733440)
- Testing
- (a) Training and (b) Supported risk assessment
- Where
- Nigeria
- Volunteers
- 89 people, healthy volunteers welcome
- Sponsor
- Ahmadu Bello University
Pancreatic Cancer
A Study on a Predictive Model for Efficacy and Prognosis of Pancreatic Carcinoma Based on Multimodal Data
The goal of this observational study is to learn if combining information from CT scans, blood tests, and pathology reports can better predict how pancreatic cancer will progress.
- Trial name
- NCT07561814
- Where
- China
- Volunteers
- 1,030 people
- Sponsor
- Shanghai Zhongshan Hospital
Bowel Preparation
A Predictive Model for Inadequate Bowel Preparation
We aimed to develop a predictive model of inadequate bowel preparation and to further validate it by a randomized controlled trial.
- Trial name
- NCT03704571
- Testing
- Polyethylene Glycol
- Where
- China
- Volunteers
- 429 people
- Sponsor
- Shandong University
Breast Cancer, Estrogen Receptor-Positive
Validity of Brain Metastasis Risk Predictive Model in Hormone Positive Breast Cancer Patients
This study aims to validate a prediction model of brain metastasis risk for females with HR+ breast cancer by using variables collected at diagnosis.
- Trial name
- NCT06729099
- Volunteers
- 128 people
- Sponsor
- Assiut University
Soft Tissue Sarcoma
Predictive Models of Treatment Responses and Survival Outcomes in Patients With Soft Tissue Sarcoma
The aim of this study was to developed and validated models to predict therapeutic responses and patients' survivals in patients with soft tissue sarcoma and compared these models with currently available models.
- Trial name
- NCT05171413
- Testing
- Prediction model
- Where
- China
- Volunteers
- 800 people
- Sponsor
- West China Hospital
Phyllodes Breast Tumor, Artificial Intelligence
AI-Assisted System for Accurate Diagnosis and Prognosis of Breast Phyllodes Tumors
Breast phyllodes tumor (PT) is a rare fibroepithelial tumor, accounting for 1% to 3% of all breast tumors, categorized by the WHO into benign, borderline, and malignant, based on histopathology features such as tumor border…
- Conditions
- Phyllodes Breast Tumor, Artificial Intelligence, Multiomics, Prognostic Cancer Model
- Trial name
- NCT06286267
- Testing
- imaging
- Where
- 4 sites in China
- Volunteers
- 4,000 people
- Sponsor
- Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
Cancer, Predictive Cancer Model
KM3D Multicenter Cancer Consortium: Predicting Patient Response Using 3D Cell Culture Models
This study will assess the ability of the Known Medicine platform to predict the efficacy of certain cancer drug treatments and to validate that tumor organoid drug sensitivity is representative of patient treatment outcomes.
- Conditions
- Cancer, Predictive Cancer Model, Effects of Chemotherapy
- Trial name
- NCT05338073
- Testing
- Known 3Dx Test
- Where
- 3 sites in United States
- Volunteers
- 2,000 people
- Sponsor
- Known Medicine, Inc.
Glioma
The Predictive Value of MRI for Adult-type Diffuse Gliomas
The goal of this observational study is to learn about the diagnostic value of preoperative MRI examination for adult-type diffuse gliomas.
- Trial name
- MRI; glioma; (NCT06572592)
- Volunteers
- 200 people
- Sponsor
- First Affiliated Hospital, Sun Yat-Sen University