To hear about similar clinical trials, please enter your email below

Trial Title: A Study to Develop Molecular Integrated Predictive Models of Breast Radio-toxicity (Precise-RTox)

NCT ID: NCT06114589

Condition: Breast Cancer

Study type: Observational

Overall status: Recruiting

Study design:

Time perspective: Prospective

Summary: Breast radiation treatment is burdened by acute and chronic toxicities, in most cases mild. However, considering the excellent life expectancy of patients with breast cancer, maintaining a low toxicity profile is of primary importance in order to guarantee a satisfactory quality of life. The definition of the molecular and genetic variables related to radiotoxicity and their integration into predictive molecular signatures may allow the risk of toxicity to be individualized. This would provide the clinician with a useful tool in order to personalize the radiation treatment, thus being able to choose the best technique or schedule for each patient.

Detailed description: Breast radiation treatment is burdened by acute and chronic toxicities, in most cases mild. However, considering the excellent life expectancy of patients with breast cancer, maintaining a low toxicity profile is of primary importance in order to guarantee a satisfactory quality of life. Currently there are numerous predictive models of toxicity (Normal Tissue Complication Probability, NTCP) which are based on dosimetric and sometimes also clinical data. To date, they do not include individual genetic variability. However, it is believed that inter-individual variability may be responsible for up to 40% of actinic toxicity. Multiparametric models that consider genetics, dose and clinical aspects probably better reflect the complexity of radiotoxicity than models that rely on a single parameter and it is possible to integrate such parameters using a machine learning approach. The definition of the molecular and genetic variables related to radiotoxicity and their integration into predictive molecular signatures would therefore allow the risk to be individualized. This would provide the clinician with a useful tool in order to personalize the radiation treatment, thus being able to choose the best technique or schedule for each patient.

Criteria for eligibility:

Study pop:
Women with distant non-metastatic breast cancer candidated to radiotherapy after conservative surgery

Sampling method: Non-Probability Sample
Criteria:
Inclusion Criteria: - Age ≥18 years; - Ability to express appropriate informed consent to treatment; - Distant nonmetastatic breast cancer; - Histology: infiltrating NST(no special type)/lobular carcinoma or ductal carcinoma in situ; - Stage: pTis; pT1-3 pN1-3 M0; - Hormone receptors, HER-2 status: Any; - Breast-conserving surgery. Both the sentinel lymph node biopsy and axillary lymphadenectomy. Negative surgical margins. - Candidates for postoperative radiation treatment. Exclusion Criteria: - Refusal of radiotherapy treatment (i.e., absence of signed informed consent); - Previous radiation therapy at the same site; - Concomitant chemotherapy with anthracyclines or taxanes; - Inability to maintain treatment position; - Partial breast radiotherapy (PBI); - Male breast cancer; - Mastectomy surgery.

Gender: Female

Minimum age: 18 Years

Maximum age: N/A

Locations:

Facility:
Name: Centro di Riferimento Oncologico (CRO) di Aviano - IRCCS

Address:
City: Aviano
Zip: 33081
Country: Italy

Status: Recruiting

Contact:
Last name: Lorenzo Vinante, MD

Phone: +390434659855
Email: lorenzo.vinante@cro.it

Investigator:
Last name: Lorenzo Vinante, MD
Email: Principal Investigator

Investigator:
Last name: Barbara Belletti, PhD
Email: Principal Investigator

Start date: August 25, 2022

Completion date: June 30, 2026

Lead sponsor:
Agency: Centro di Riferimento Oncologico - Aviano
Agency class: Other

Source: Centro di Riferimento Oncologico - Aviano

Record processing date: ClinicalTrials.gov processed this data on November 12, 2024

Source: ClinicalTrials.gov page: https://clinicaltrials.gov/ct2/show/NCT06114589

Login to your account

Did you forget your password?