Mechanisms of Response and Resistance to Innovative Treatments in Patients With Locally Advanced or Metastatic Breast Cancer
This is not medical advice. AI-assisted translation — inaccuracies may occur. Always verify the original and consult your oncologist before taking any steps.
About the trial
Ample evidence has highlighted the significant clinical benefit of novel therapies for many patients with advanced breast cancer (aBC). The use of CDK inhibitors, antibody-drug conjugates (ADCs), immune checkpoint inhibitors (ICIs), and PARP inhibitors as first-line or subsequent treatments has improved progression-free survival (PFS) rates compared to conventional therapies. In selected cases, these treatments have also increased overall survival (OS), reshaping the therapeutic landscape for advanced breast cancer. However, several key questions remain unanswered. For example, what should be the first-line treatment when multiple effective options are available? Determining the optimal sequence of drugs in successive lines of therapy is another major challenge. Furthermore, the development of resistance to treatment and the occurrence of severe adverse events that may lead to early discontinuation or fatal outcomes are pressing concerns. That said, identifying robust predictive biomarkers of response or resistance is crucial for ensuring that patients receive the most effective treatment while avoiding unnecessary exposure to therapies that could cause harm without benefit. Additionally, when multiple effective options exist, selecting the optimal treatment algorithm for each patient based on clinical, pathological, and molecular biomarkers is essential. We herein, aim at employing high throughput methodologies, such as Whole Exome Sequencing, circulating tumour DNA (ctDNA) analysis, digital pathology and radiomics analyses, as well as real-world data obtained both from patients records for the training of a ML-based algorithm that can predict response or resistance to a specific treatment, based on the genetic make-up of the patient and the molecular profile of the tumour.
Original English text from ClinicalTrials.gov
Who can (and can't) join
✓ Qualifies
- •Wiek 18 lat lub więcej
- •Potwierdzony histologicznie zaawansowany nowotwór piersi
- •Jeden z trzech typów raka piersi: wrażliwy na hormony, HER2-dodatni lub HER2-niski, lub triple negative
- •Ukończenie co najmniej jednego cyklu leczenia
✗ Disqualifies
- •Wczesny stadium raka piersi w momencie rejestracji
- •Brak zgody na uczestnictwo w badaniu
- •Brak gotowości do dostarczenia próbek biologicznych
- •Brak pełnych danych klinicznych
Simplified criteria — AI translation
Trial details
- Minimum age
- 18 Years
- Last updated (source)
- July 15, 2025
- Sex
- Female only
Locations (5)
University General Hospital "ATTIKON", 2nd propedeutic dept. of Internal Medicine
Athens, Greece
"MITERA" Hospital, Dept. of Medical Oncology
Athens, Greece
Metropolitan Hospital, 2nd Dept. of Medical Oncology
Athens, Greece
Metropolitan Hospital, 4th Dept. of Medical Oncology
Athens, Greece
St. Luke's Hospital, Dept. of Medical Oncology
Thessaloniki, Greece
Trial contact
Electra Sofou, PhD
Elena Fountzilas, MD, PhD
Contact information from ClinicalTrials.gov. Contact in English.
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Data from ClinicalTrials.gov. AI-assisted translation, last sync: 7/1/2026.
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