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Tumor-microenvironment Spatial Interaction to Identify Markers of Resistance to Therapy in HER2+ Breast Cancer Patients

A Retrospective Observational Study Characterizing Tumour-microenvironment Spatial Interaction Aimed at the Identification of New Markers of Resistance to Therapy in HER2-positive Breast Cancer Patients

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06518382
Enrollment
10
Registered
2024-07-24
Start date
2024-12-10
Completion date
2027-08-01
Last updated
2026-04-15

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

HER2-positive Breast Cancer

Brief summary

This retrospective observational study aims at the comparison of the tumour-microenvironment tissue architecture before and after neo-adjuvant therapy in samples from HER2-positive (HER2+) breast cancer (BrCa) patients that display residual invasive disease in the breast/lymph node at surgery after standard-of-care combined chemotherapy and trastuzumab treatment. The working hypothesis of the investigators is that: Therapy imposes a selective pressure on tumour-microenvironment features promoting resistance to treatment. Participant that have already undergone neo-adjuvant treatment as part of their regular medical care for HER2-positive breast cancer will provide access to formalin-fixed paraffin-embedded (FFPE) samples taken before and after therapy. Tumoral, peri-tumoral and stromal regions of each specimen will be analyzed with the ultimate goal to identify new biomarkers (and putative targets) of resistance to therapy.

Interventions

None listed

Sponsors

Giampaolo Bianchini
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
RETROSPECTIVE

Eligibility

Sex/Gender
FEMALE
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

1. Participant is willing and able to give informed consent for participation in the study. 2. Patient underwent the following procedure before surgery: biopsy, sequential chemotherapy comprising treatment with antracyclines (AC/EC q21, 4 cycles) followed by taxanes (paclitaxel 1,8,15 q21 for 12 weeks) in combination with the anti-HER2 antibody trastuzumab. 3. Specimen collected at surgery display residual invasive disease in the breast/lymph node.

Exclusion criteria

1. pre-existing conditions or concurrent diagnoses; 2. concomitant use of other medications during neo-adjuvant treatment; 3. quality of stored specimen does not meet the standard for Imaging Mass Cytometry analysis.

Design outcomes

Primary

MeasureTime frameDescription
number of different cells per each phenotypebefore and within 3 months from neo-adjuvant therapy (at surgery)Cell types will be classified based on the expression of specific lineage/phenotype markers.
density of each phenotypebefore and within 3 months from neo-adjuvant therapy (at surgery)Cell phenotype densities will be calculated by dividing the number of total cells counted by the total area of the tissue acquired.
fraction of proliferative/active cells of each phenotypebefore and within 3 months from neo-adjuvant therapy (at surgery)The proportion of cells positive for the proliferation marker Ki67 will be assessed per cell phenotype. To assess the proportion of active immune cells, we will quantify the expression level of activation markers.
frequency of interactionsbefore and within 3 months from neo-adjuvant therapy (at surgery)Cells will be defined as partaking in an interaction if their whole-cell profiles are in direct contact (contiguous pixels). Cell phenotypes will be mapped to cell-cell interaction masks, and for each specimen proximity events (cell-cell interactions) will be classified as homotypic or heterotypic proximity events
frequency of functional crosstalk eventsbefore and within 3 months from neo-adjuvant therapy (at surgery)Cells will be defined as participating in a functional crosstalk event if the proximal (contiguous pixels) cells express functional pairs (receptor/ligand) of markers (e.g. PD1/PDL1). The frequency of functional crosstalk events will be computed as the number of interactions between cells expressing functional pairs divided by the total number of cells expressing one of the markers (receptor, e.g. PD1) in the specimen.

Countries

Italy

Contacts

CONTACTTiziana Daniele, PhD
daniele.tiziana@hsr.it+39 02 2643 6381
PRINCIPAL_INVESTIGATORGiampaolo Bianchini, MD

Head Breast Cancer Group - Department of Medical Oncology - IRCCS San Raffaele Hospital

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Apr 16, 2026