Clinical Trials Logo

Filter by:
NCT ID: NCT04499924 Active, not recruiting - Clinical trials for Gastric Adenocarcinoma

Tucatinib, Trastuzumab, Ramucirumab, and Paclitaxel Versus Paclitaxel and Ramucirumab in Previously Treated HER2+ Gastroesophageal Cancer

MOUNTAINEER-02
Start date: March 22, 2021
Phase: Phase 2/Phase 3
Study type: Interventional

This study is being done to see if tucatinib with trastuzumab, ramucirumab and paclitaxel works better than ramucirumab and paclitaxel to treat HER2-positive (HER2+) cancer of the gut (stomach or gastroesophageal cancer). This study will also look at what side effects happen when participants take this combination of drugs. A side effect is anything the drug does other than treating cancer. Study treatment will be given in 28-day cycles. In the Phase 2 part of the trial, participants and their doctors will know what drugs are being given (open-label). In the Phase 3 part, the study is "blinded." This means that participants, their doctor, and the study sponsor will not know which drugs are being given.

NCT ID: NCT04497844 Active, not recruiting - Clinical trials for Metastatic Castration-sensitive Prostate Cancer

A Study of Niraparib in Combination With Abiraterone Acetate and Prednisone Versus Abiraterone Acetate and Prednisone for the Treatment of Participants With Deleterious Germline or Somatic Homologous Recombination Repair (HRR) Gene-Mutated Metastatic Castration-Sensitive Prostate Cancer (mCSPC)

AMPLITUDE
Start date: September 23, 2020
Phase: Phase 3
Study type: Interventional

The purpose of the study is to determine if the combination of niraparib with Abiraterone Acetate (AA) plus prednisone compared with AA plus prednisone in participants with deleterious germline or somatic Homologous Recombination Repair (HRR) gene-mutated Metastatic Castration-Sensitive Prostate Cancer (mCSPC) provides superior efficacy in improving radiographic progression-free survival (rPFS).

NCT ID: NCT04494425 Active, not recruiting - Clinical trials for Advanced or Metastatic Breast Cancer

Study of Trastuzumab Deruxtecan (T-DXd) vs Investigator's Choice Chemotherapy in HER2-low, Hormone Receptor Positive, Metastatic Breast Cancer

DB-06
Start date: July 24, 2020
Phase: Phase 3
Study type: Interventional

This study will evaluate the efficacy, safety and tolerability of trastuzumab deruxtecan compared with investigator's choice chemotherapy in human epidermal growth factor receptor (HER)2-low, hormone receptor (HR) positive breast cancer patients whose disease has progressed on endocrine therapy in the metastatic setting.

NCT ID: NCT04493853 Active, not recruiting - Clinical trials for Hormone-Sensitive Prostate Cancer

Capivasertib+Abiraterone as Treatment for Patients With Metastatic Hormone-sensitive Prostate Cancer and PTEN Deficiency

CAPItello-281
Start date: July 13, 2020
Phase: Phase 3
Study type: Interventional

This study will assess the efficacy and safety of capivasertib plus abiraterone (+prednisone/prednisolone) plus androgen deprivation therapy (ADT) versus placebo plus abiraterone (+prednisone/prednisolone) plus ADT in participants with mHSPC whose tumours are characterised by PTEN deficiency. The intention of the study is to demonstrate that in participants with mHSPC, the combination of capivasertib plus abiraterone (+prednisone/prednisolone) plus ADT is superior to placebo plus abiraterone (+prednisone/prednisolone) plus ADT in participants with mHSPC characterised by PTEN deficiency with respect to radiographic progression-free survival (rPFS) per 1) Response Evaluation Criteria in Solid Tumors (RECIST) 1.1 for soft tissue and/or Prostate Cancer Working Group (PCWG3) for bone as assessed by the investigator 2) death due to any cause.

NCT ID: NCT04489888 Active, not recruiting - Clinical trials for Squamous Cell Carcinoma of Head and Neck

A Study of Pembrolizumab (MK-3475) Plus Carboplatin and Paclitaxel as First-line Treatment of Recurrent/Metastatic Head and Neck Squamous Cell Carcinoma (MK-3475-B10/KEYNOTE B10)

Start date: October 27, 2020
Phase: Phase 4
Study type: Interventional

The goal of this study is to evaluate the efficacy and safety of pembrolizumab combined with carboplatin and paclitaxel as first-line treatment in participants with recurrent/metastatic head and neck squamous cell carcinoma (R/M HNSCC). No statistical hypothesis will be tested in this study.

NCT ID: NCT04489771 Active, not recruiting - Clinical trials for Carcinoma, Renal Cell

A Study of Belzutifan (MK-6482) in Participants With Advanced Renal Cell Carcinoma (MK-6482-013)

Start date: September 13, 2020
Phase: Phase 2
Study type: Interventional

This study will compare the efficacy and safety of two doses of belzutifan in participants with advanced renal cell carcinoma (RCC) with clear cell component after prior therapy. The primary hypothesis is that the higher dose of belzutifan is superior to the standard dose in terms of objective response rate (ORR).

NCT ID: NCT04489368 Active, not recruiting - Esophageal Neoplasm Clinical Trials

Response Prediction to Neoadjuvant Chemoradiation in Esophageal Cancer Using Artificial Intelligence & Machine Learning

QARC
Start date: January 16, 2020
Phase:
Study type: Observational

In esophageal carcinoma, neoadjuvant concurrent chemo-radiotherapy (NA-CCRT) followed by surgery is the current standard of care and ample evidence has accumulated supporting the view that complete pathological response (pCR) is a positive prognostic marker for improved outcomes. Predicting the probability of achieving pCR prior to neoadjuvant treatment could permit modification of treatment protocols for those patients unlikely to achieve pCR. Radiomics is a new entrant in the field of imaging where specific features are derived from the intensity and distribution pattern of pixels based on a region-of-interest (ROI). The features thus extracted can then be used for prediction modelling similar to other -omics datasets. Preliminary investigations examining its utility have been performed and its applications have thus far focused on screening and survival prediction after treatment. Due to the multi-dimensional nature of data extracted using radiomics, Artificial Intelligence (AI) methods are ideally suited for analysing and modelling radiomic features. Machine Learning (ML) and Deep Learning (DL)[utilising Convolutional Neural Networks (CNN)] are both part of the AI framework. In contrast to ML, DL is a new entrant and has been utilised by some medical researchers for modelling using prediction-type algorithms. Besides significantly reducing the workflow associated with Radiomics-based research, feature engineering and modelling using DL are immune to the effects of incorrect ROI delineation. However, the main limitation of DL is the 'blackbox' effect, in which the underlying basis of a CNN is not known. This has been mitigated in part by the visualisation of activation maps directly on the image dataset to prove biological plausibility of predictions. The comparative performance of both types of modelling is also not known. Our objective is to investigate pCR probability in our study population using radiomics-based ML and AI-based modelling. We will also investigate the comparative performance of both modelling techniques. For DL based prediction modelling, we will attempt to provide biological plausibility on the basis of activation maps.

NCT ID: NCT04487080 Active, not recruiting - Clinical trials for Carcinoma, Non-Small-Cell Lung

A Study of Amivantamab and Lazertinib Combination Therapy Versus Osimertinib in Locally Advanced or Metastatic Non-Small Cell Lung Cancer

MARIPOSA
Start date: September 30, 2020
Phase: Phase 3
Study type: Interventional

The purpose of this study is to assess the efficacy of the amivantamab and lazertinib combination, compared with osimertinib, in participants with epidermal growth factor receptor (EGFR) mutation (Exon 19 deletions [Exon 19del] or Exon 21 L858R substitution) positive, locally advanced or metastatic non-small cell lung cancer (NSCLC).

NCT ID: NCT04483960 Active, not recruiting - Clinical trials for SARS-CoV-2 Infection (COVID-19)

Australasian COVID-19 Trial (ASCOT) ADAptive Platform Trial

ASCOT
Start date: July 28, 2020
Phase: Phase 3
Study type: Interventional

An International Multi-Centre Randomised Adaptive Platform Clinical Trial to Assess the Clinical, Virological and Immunological Outcomes in Patients with SARS-CoV-2 Infection (COVID-19).

NCT ID: NCT04475939 Active, not recruiting - Clinical trials for Lung Cancer, Non-Small Cell

Placebo-controlled Study Comparing Niraparib Plus Pembrolizumab Versus Placebo Plus Pembrolizumab as Maintenance Therapy in Participants With Advanced/Metastatic Non-small Cell Lung Cancer

ZEAL-1L
Start date: October 26, 2020
Phase: Phase 3
Study type: Interventional

This is a multicenter, randomized, double-blind, placebo-controlled study of niraparib plus pembrolizumab versus placebo plus pembrolizumab as maintenance therapy in participants with advanced or metastatic non-small cell lung cancer (NSCLC) who have achieved stable disease (SD), partial response (PR), or complete response (CR) following completion of standard of care first-line platinum-based induction chemotherapy with pembrolizumab. The primary hypotheses are: participants with confirmed diagnosis of NSCLC could benefit from niraparib plus pembrolizumab versus placebo plus pembrolizumab with respect to Progression-free survival (PFS) and Overall survival (OS).