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Active clinical trials for "Breast Neoplasms"

Results 2791-2800 of 10251

ctDNA Monitoring in Early Breast Cancer

Breast Cancer

This is a observational, single center study, monitoring the circulating tumor DNA (ctDNA) in patients with early breast cancer and assessing the prognostic value and treatment outcome monitoring of ctDNA.

Recruiting11 enrollment criteria

TRPC6 Characterization to Predict and Prevent Chemotherapy Related Cardiomyopathy and Heart Failure...

Breast CarcinomaCardiotoxicity

This study examines TRPC6 in predicting and preventing chemotherapy related cardiac toxicity and heart failure in patients with breast cancer. Cardiac toxicity, changes in heart function is a well-recognized complication of certain cancer related therapies. Understanding these changes may allow early intervention against therapy-related cardiac toxicity and also identify novel therapeutic targets to protect patient long-term cardiac health. Studying samples of blood from patients with breast cancer in the laboratory may help doctors learn more about changes that occur in deoxyribonucleic acid (DNA), identify biomarkers related to cardiac toxicity, and prevent the development of therapy-induced cardiac toxicity in patients receiving chemotherapy.

Recruiting10 enrollment criteria

Artificial Intelligence in Large-scale Breast Cancer Screening

Breast Neoplasm Female

This is a prospective clinical trial following a paired screen-positive design, with the aims to assess the performance of an artificial intelligence (AI) computer-aided detection (CAD) algorithm as an independent reader, in addition to two radiologists, of screening mammograms in a true screening population. Since all decisions by individual readers will be recorded, it is possible to determine what the outcome would have been had one or two of the readers not been allowed to assess images, and to determine what the outcome would have been had the recall decision been performed by consensus decision (actual) compared to single reader arbitration of discordant cases.

Active5 enrollment criteria

Development of a Horizontal Data Integration Classifier for Noninvasive Early Diagnosis of Breast...

Breast Cancer

This is a translational no-profit study. Our proposal aims at creating a noninvasive Horizontal Data Integration (HDI) classifier for early diagnosis of breast cancer, with the final goal of avoiding in most cases useless biopsies of suspect cases encountered during radiological screening. Women with radiologically identified lesions, BIRADS-3/4/5, smaller than 2 cm by radiological assessment (i.e., radiological T1), will be enrolled and invited to donate peripheral blood samples (35 ml) and urine samples (50 ml). Radiological images as well as demographic and anatomopathological data will be collected. Objective of this project is to develop a HDI classifier enabling early noninvasive diagnosis of breast cancer with similar accuracy compared to breast biopsies. Such classifier will be developed based on the correlation between the molecular profile of peripheral blood (ctDNA, proteins, exosomes) and urine (ctDNA) collected at T0 (baseline, before diagnostic biopsy) and bioptic diagnosis. The assessment of the profile of peripheral blood (ctDNA, proteins, exosomes) and urine (ctDNA) at two time points for diagnosed pT1 breast cancers (T0: baseline, before biopsy; T1: after diagnosis of pT1 breast cancer) will allow us to distinguish between tumor- and host-specific molecular alterations in connection with the presence/absence of breast cancer.

Active10 enrollment criteria

DLSCT for Breast Cancer Detection in Women With Dense Breasts

Breast NeoplasmsBreast Density2 more

The main objective of this project is to demonstrate the feasibility of DLSCT to detect breast cancer in women with dense breasts. Patients with locoregional advanced primary breast cancer and heterogeneously (n = 7) or extremely dense breasts (n = 7) as determined by mammography will be included in this study. These patients have an indication for a positron emission tomography computed tomography (PET-CT) scan to search for distant metastases. In this study the participants will undergo an additional contrast enhanced DLSCT scan to determine the feasibility of spectral CT to detect breast cancer in women with dense breasts.

Recruiting12 enrollment criteria

Deep Inspiration Breath-hold Radiotherapy for Left-sided Breast Cancer

Breast CancerCardiac Event

Postoperative breast radiotherapy (RT) has been associated with increased risk of heart toxicity. However, there is a lack of knowledge for radiation-induced early cardiovascular injury, especially for hypofractionated RT. This study aims to prospectively detect and predict early clinical or subclinical cardiac events in women undergoing adjuvant RT for breast cancer.

Recruiting5 enrollment criteria

Tumor-Infiltrating Lymphocytes and Programmed Cell Death - Ligand 1 in Breast Cancer

Breast CancerTumor Infiltrating Lymphocytes1 more

The morphological evaluation of Tumor-infiltrating Lymphocytes (TILs) in breast cancer is gaining momentum as evidence strengthens for the clinical relevance of this immunological biomarker. In breast cancer (BC) lesions, TILs are seen in intratumoral and stromal areas. TILs are predictive of response to treatment and this association appears to be strongest in Triple-negative (TNBC) and Her 2 (Human epidermal growth factor receptor) positive breast cancer subtypes. Contrastingly, the association in Estrogen Receptor (ER) positive, HER 2 negative tumors have not been established. Programmed cell death 1 (PD-1), are receptors expressed on the surface of T, B, and Natural killer cells and in some tumor cells. These attenuate the cellular immune response by inducing T-cell apoptosis. Programmed Cell Death Ligand 1 (PD-L1) overexpression is reported to be associated with large tumor size, lymph node metastasis, and ER-negativity. Importantly, PD-L1 is expressed more frequently in TNBC patients. High PD-L1 expression may be a prognostic indicator for reduced overall survival6. This information may be helpful to screen candidates for anti-PD-1/PD-L1 therapy, especially patients with TNBC The aim of this study is to characterize the cohort of patients with breast cancer based on a semiquantitative assessment of TILs and to correlate the concentration of TILs and PD-L1 in various intrinsic subtypes (based on Immunohistochemistry) with the overall outcome. Also to correlate the TILs and PD-L1 expression with tumor response to Neoadjuvant Chemotherapy (NACT) and to stratify the predictive value of this biomarker in TNBC.

Recruiting8 enrollment criteria

Infertility Survey Among Reproductive Age Women With Gynecological and Breast Cancer

Anatomic Stage I Breast Cancer AJCC v8Anatomic Stage IA Breast Cancer AJCC v828 more

This study develops infertility survey among reproductive age women with gynecological and breast cancer. This study aims to learn how women consider whether or not to try to have a baby after surviving cancer. The advice gathered from this survey may be shared with patients and survivors in the future, so that they have information to inform their decisions about cancer treatment and family planning.

Recruiting10 enrollment criteria

Image-based AI Predictive Biomarkers for Precision Neoadjuvant Triple-negative Breast Cancer Treatment...

Triple Negative Breast CancerTriple Negative Breast Neoplasms

Pear Bio has developed an organ-on-a-chip device together with a computer vision pipeline through which the response of an individual patient's tumor to different chemotherapy regimens can be tested simultaneously ex vivo. This study will recruit patients with early TNBC who are planned for standard of care neoadjuvant chemotherapy followed by surgery. The oncologist will be blinded to the response on the Pear Bio tool (the assay will be run in parallel with the patient's neoadjuvant chemotherapy). The primary objective of this study is to establish the sensitivity and specificity of Pear Bio's test against patient outcomes (pathological complete response).

Recruiting13 enrollment criteria

ORACLE: Observation of ResiduAl Cancer With Liquid Biopsy Evaluation

Bladder CarcinomaUreter Carcinoma13 more

The purpose of ORACLE is to demonstrate the ability of a novel ctDNA assay developed by Guardant Health to detect recurrence in individuals treated for early-stage solid tumors. It is necessary that ctDNA test results are linked to clinical outcomes in order to demonstrate clinical validity for recurrence detection and explore its value in a healthcare environment subject to cost containment.

Recruiting27 enrollment criteria
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