ON-treatment Single-cell Analysis for the Identification of Early Tumor Response Biomarkers on Prospective Collected Serial Tumor Biopsies in Triple Negative Breast Cancer Patient During Standard Neoadjuvant Chemo-immunotherapy (ONSET)

San Donato Group (GSD)

Status: Begins enrollment in 2 months

Conditions: Breast Cancer Early Stage Breast Cancer (Stage 1-3)

Treatments: Procedure: on treatment biopsy (after C1)

Study type: Interventional

Funder types: Other

Identifiers

NCT07597642

ONSET

Details and patient eligibility

About

This study explores early breast cancer, focusing on triple-negative and high-risk luminal subtypes. It combines single-cell RNA sequencing and spatial imaging of tumor samples collected at different time points during treatment. The aim is to better understand how cancer cells and immune cells interact and to identify biomarkers that can predict whether a patient will respond to chemo-immunotherapy or develop resistance.

The study assumes that early molecular and spatial changes at the single-cell level can predict treatment response. This knowledge could help doctors adapt therapies, avoiding unnecessary treatment while improving effectiveness. The project seeks to reveal, for the first time, how cellular diversity and spatial relationships contribute to treatment resistance and disease progression.

Tumor samples will be analyzed before treatment, after the first treatment cycle (C1D1), and at surgery. Only the biopsy taken after C1D1 is collected specifically for this study; all other samples come from routine clinical care.

Full description

This exploratory translational study investigates early breast cancer (EBC), focusing on triple-negative (TNBC) and high-risk luminal (ER+/HER2-) subtypes. By integrating single-cell RNA sequencing, using the 10x Genomics platform (or similar technologies if it will be not available at the time of experiment), and spatial imaging analyses from serial tumor biopsies, the project aims to characterize tumor-immune interactions and identify predictive biomarkers of response or resistance to neoadjuvant chemo-immunotherapy.

We hypothesize that early molecular and spatial features, when detected at the single-cell level, can predict treatment sensitivity or resistance. This would enable adaptive therapeutic strategies that minimize overtreatment while maximizing efficacy in EBC. Our goal is to reveal, for the first time, the cellular heterogeneity and spatial interactions that drive therapy resistance and disease progression.

The analysis will be performed on tumor biopsies collected before the start of treatment, after C1D1 and on surgical material. The only tissue sample collected specifically for the study is the biopsy after C1D1.

Enrollment: 55 estimated patients

Sex: Female

Ages: 18+ years old

Volunteers: No Healthy Volunteers

Inclusion criteria

1. Female patients aged ≥18 years.

2. ECOG performance status 0-1.

3. Histologically confirmed early breast cancer with one of the following molecular profiles:

   • TNBC: ER and PR negative (IHC <10%) and HER2 negative (IHC 0-1+ or FISH non-amplified).
   • High-risk luminal (ER+/HER2-): ER positive (IHC ≥10%) HER2 negative (IHC 0-1+ or FISH non-amplified), with high-risk features (e.g., Grade 3, PR-negative, high proliferation, high TILS).

4. Clinical indication for neoadjuvant treatment according to standard practice:

   • TNBC: cT1c and/or cN positive, or cT2 (>2 cm) and/or cN positive (stage II,III).
   • High-risk luminal: features as defined above (Grade 3, PR-negative, high proliferation, ER low).

5. Ability to understand and sign written informed consent for participation in the study, approved by the local Ethics Committee.

Exclusion criteria

1. HER2-positive tumors.
2. Multifocal tumors - exclusion if a single index lesion cannot be identified and sampled; otherwise allowed if a representative lesion can be biopsied.
3. Known metastatic disease. 4 Clinical contraindications to the planned neoadjuvant therapy.

5. Decision for upfront surgery as determined by the multidisciplinary team. 6. Inability to provide informed consent. 7. Pregnancy or breastfeeding. 8. Prior systemic therapy (chemotherapy, immunotherapy, or endocrine therapy) for the current breast cancer before baseline biopsy 9. On-treatment biopsy clinically not feasible or controindicated

Trial design

Primary purpose: Other

Allocation: N/A

Interventional model: Single Group Assignment

Masking: None (Open label)