ClinicalTrials.gg
RecruitingNCT07030569RADIOSPHER2Updated Jun 22, 2025

RADIomics to Predict HER2 Status And T-DXd Efficacy in Metastatic Breast Cancer: the RADIOSPHER2 Study

An observational study in Radiomic, Radiomics and Breast Cancer Metastatic, sponsored by Fondazione IRCCS Istituto Nazionale dei Tumori, Milano. Recruiting at 1 site in Italy. Per ClinicalTrials.gov, last updated 2025-06-22.

Sponsored by Fondazione IRCCS Istituto Nazionale dei Tumori, Milano · Observational

From the registry’s dates

  • Started Feb 2024; still recruiting 2 years 9 months later.

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Study type
Observational
Model
Cohort
Time perspective
Retrospective
Enrollment
500
Sex
All
01

Where this study stands

Counted across the records on this site · 2026-11-14

Among 27 studies in Breast Neoplasms by Fondazione IRCCS Istituto Nazionale dei Tumori, Milano — 9 open to participants now, 10 under way, none of them phase 3. Breast Neoplasms · Fondazione IRCCS Istituto Nazionale dei Tumori, Milano.

Started
2024
with 1 other
Observational
8 of 27
5 open now
Registered
25th of 27
by date

Among the 27 studies in Breast Neoplasms by Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, this one is one of 2 that started in 2024, is one of 8 observational ones, and was the 25th registered.

Breast Neoplasms

14,832 studies on the registry are indexed under Breast Neoplasms; 3,320 are open to participants now.

Browse Breast Neoplasms studies →

Open to participants now

9 of the 27 studies in Breast Neoplasms by Fondazione IRCCS Istituto Nazionale dei Tumori, Milano are open now, in 1 country. Recruiting first, the newest first:

3 more — sign in →

By country, each count listing its studies:

All 9 open studies →

Who these studies take

Of the 2,399 Breast Neoplasms studies recruiting now, 1,570 (65%) set no upper age limit and 592 (25%) stop at 75 or younger; 103 take children under 18; 215 take healthy volunteers.

This study: all sexes · no healthy volunteers.

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02

Study summary

RADIOSPHER2 study is a monocentric, retrospective, observational study aiming at identifying a radiomics signature able to predict HER2 expression (0 vs low vs overexpression) and trastuzumab deruxtecan efficacy in metastatic breast cancer patients. The study also encompasses translational analyses and inter-modal correlations in order to provide novel insights about HER2 spatial and temporal heterogeneity, at the macroscopic and microscopic levels.

Read the detailed description

The primary objective of the study is the identification of a radiomic signature ("radiobiopsy") from several features extracted from radiological images to predict the HER2 status on different specific metastatic sites of metastatic breast cancer patients. Accordingly to the study rationale, it will chosen to analyse images from those metastatic sites usually difficulty to approach with biopsy, such as lung, liver, pleural and bone lesions.

The "radiobiopsy" model will be applied to retrospectively calculate HER2 status from the baseline scan of HER2+ or HER2-low mBC patients underwent any-line trastuzumab deruxtecan (T-DXd) treatment for metastatic disease. The T-DXd PFS of patients assigned to the three cohorts (HER2-0, HER2-low or HER2-overexpressed) based on "radiobiopsy" model will be then calculated and differences among groups will be tested with Cox regression analysis. Clinical characteristics (e.g., number of therapy line for metastatic disease, HR status, HER2 IHC expression) of the same cohort will be extracted from clinical health records, in order to build a multivariate Cox regression model.

To assess the HER2 spatial heterogeneity at intra-tumor microscopic level, pathology slides derived from biopsies of patients enrolled to build the "radiobiopsy" model will be also reviewed from pathologists for HER2 heterogeneity evaluation and digitalized for pathomics analyses. The HER2 heterogeneity will be evaluated by pathologist based on IHC expression and distribution. In order to evaluate if radiomic features can predict HER2 heterogeneity at intra-tumor macroscopic level, a different radiomic model will be developed for this purpose, using the HER2 heterogeneity score assigned by pathologist in the previous task as outcome.

In addition, in order to confirm and quantify inter-lesion HER2 spatial heterogeneity, the features included in the discovered "radiobiopsy" signature will be extracted and the HER2 status calculated for the other metastatic lesions. A correlation analysis between HER2 status assignment from different lesions of the same patients will be performed to quantify the prevalence of HER2 variability among lesions in the cohort. In order to clarify if HER2 heterogeneity at microscopic level is associated with inter-lesion heterogeneity, a single-patient correlations between the heterogeneity pathomic score and the inter-lesion radiomic heterogeneity will be performed.

To have insight into the features included into the "radiobiopsy" model, transcriptomics analysis will be conducted through bulk-RNA sequencing from available tumor FFPE specimens of lung, pleural and liver biopsies. The differential expression of several genes and transcriptomic signatures with known prognostic/predictive relevance, such as immune and metabolic genes and signatures, will be assessed among samples with differently expressed features included in the model. It will allow to dissect tumor biology by finding the biological counterpart of agnostic radiomics features that would remain otherwise unexplained.

03

Conditions studied

  • Radiomic
  • Radiomics
  • Breast Cancer Metastatic
  • Breast Cancer Stage IV
  • Breast Carcinoma
  • Breast Neoplasms
  • Breast Cancer
  • Breast Cancer With Bone Metastasis
  • Breast Cancer With Metastatic Bone Disease
  • Trastuzumab
  • HER2
  • HER2 + Breast Cancer
  • HER2 Positive Breast Carcinoma
  • HER2-positive Breast Cancer
  • Her2/Neu Positive Advanced Solid Tumors
  • HER2/Neu-positive Breast Cancer

Browse trials for

Keywords

  • Radiomics
  • HER2 expression
  • Trastuzumab Deruxtecan
  • Pathomics
  • HER2 heterogeneity
04

Who can participate

Ages eligible
Child (0–17), Adult (18–64), Older adult (65+)
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Probability sample

Study population

The population of the study will consists with a cohort of patients with metastatic breast cancer underwent a liver, lung, pleural or bone biopsy in the metastatic setting at the Sponsor Institution with available imaging (CT scan and/or PET-FdG scan), performed from 01Jan2005 to 01Jan2024.

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Patients with breast cancer underwent a liver, lung, pleural or bone in the metastatic setting, performed from 01Jan2005 to 01Jan2024.

Exclusion criteria

Exclusion Criteria:

  • Not available imaging (CT scan and/or PET-FdG scan) in the three months before the or before the last previous treatment interruption;
  • Unknown status;
  • Node, soft tissue or other visceral as biopsy site.
Terms in these criteria, in plain language(3)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

Metastases

Cancer that has spread from where it began to other parts of the body. “Metastatic” cancer is cancer that has spread this way.

Biopsy and archival tissue

A biopsy takes a small piece of tissue to examine. “Archival tissue” is a sample already taken, for example at diagnosis, and kept by the hospital.

Whether a stored sample will do depends on when it was taken, how much there is and what the study needs. Ask whether the study accepts your stored sample or needs a new biopsy.

HER2

HER2 is a protein, made from the ERBB2 gene, that drives the growth of some cancers. A study may look for a level of the protein, extra copies of the gene, or a particular change in it.

In breast cancer, protein tests are read as HER2-positive, HER2-low or HER2-negative; other cancers use their own rules. Check which test result the study requires.

05

Study design

Observational model
Cohort
Time perspective
Retrospective
Enrollment
500 participants (estimated)
Patient registry
No
Biospecimen retention
Samples with dna

Groups and cohorts

  • Metastatic breast cancer patients underwent tumor biopsy in a metastatic site

    A cohort of patients with metastatic breast cancer underwent a liver, lung, pleural or bone biopsy in the metastatic setting at INT with available imaging (CT scan and/or PET-FdG scan), performed from 01Jan2005 to 01Jan2024. A subgroup of this cohort is treated with Trastuzumab Deruxtecan.

    Drug: Trastuzumab deruxtecan (DS-8201a)

Interventions

06

What researchers measure

Primary outcomes

  1. HER2 protein expression

    To identify a radiomic signature ("radiobiopsy") able to predict the HER2 status on a specific metastasic site of mBC patients based on radiologic images (CT scan, PET-FdG)

    Time frame: Time of the metastatic biopsy (through study completion, an average of 1 year)

  2. Progression-Free Survival

    To test the accuracy of "radiobiopsy" in predicting PFS in a cohort of metastatic breast cancer patients treated with trastuzumab deruxtecan.

    Time frame: From treatment start to disease progression or death (through study completion, up to 5 years)

Secondary outcomes

  1. HER2 intratumoral heterogeneity

    To identify a pathomic-based model able to predict intratumoral HER2 heterogeneity on pathology slides of HER2-positive and HER2-low mBC patients

    Time frame: Time of the metastatic biopsy (through study completion, an average of 1 year)

  2. HER2 interlesional heterogeneity

    To test the concordance between intratumoral and inter-lesional HER2 heterogeneity in HER2-positive and HER2-low mBC patients.

    Time frame: Time of the metastatic biopsy (through study completion, an average of 1 year)

  3. Radiomics agnostic features

    To correlate the features included in the radiomic model with the transcriptomics data obtain from bulk-RNAseq from biopsies, in order to explain agnostic features discovered with radiomics.

    Time frame: Time of the imaging next to the metastatic biopsy (through study completion, an average of 1 year)

07

Study locations

1 of 1 sites recruiting
08

References and documents

Study documents

PDFs hosted by the registry, ClinicalTrials.gov.

Individual participant data

Plan to share: Undecided

09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reached

Started Feb 2024 (actual). Primary completion is estimated for Jan 2027, 35 months after the start.

How these figures are worked out, and which studies are left out of them.

Registered
Jan 7, 2025
First posted
Jun 22, 2025
StartActual
Feb 1, 2024
Primary completionEst.
Jan 1, 2027
CompletionEst.
Jan 1, 2027
Last update
Jun 22, 2025
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Jun 22, 2025, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT07030569
Responsible party
Sponsor
First posted
Jun 22, 2025
Start date
Feb 1, 2024
Primary completion
Jan 1, 2027 (estimated)
Completion
Jan 1, 2027 (estimated)
Last update
Jun 22, 2025

Study contacts

Claudio Vernieri, MD, PhD
Contact
claudio.vernieri@istitutotumori.mi.it
+390223903066
Leonardo Provenzano, MD
Contact
leonardo.provenzano@istitutotumori.mi.it
+390223903066

Oversight

Data monitoring committee
No
FDA-regulated drug
Yes
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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