Triple Negative Breast CancerPORTRAITNCT05916755
Predictive Biomarkers of Response to Checkpoint Inhibitors in Triple Negative Breast Cancer: a Multiomics Platform
An observational study of Triple Negative Breast Cancer, run by Vall d'Hebron Institute of Oncology at 1 site in Spain.
Trial summary
Patients with stage II-III Triple negative breast cancer (TNBC) candidates to receive neoadjuvant chemotherapy (NACT) +/- immune checkpoint inhibitor (ICI) will be included. Several samples from different tissues will be analyzed through different omics to establish predictive biomarkers of response to the treatment. Read more about this study
- Who is it for?
- Ages 18 years and older
- Conditions the study is for
- Triple Negative Breast Cancer
- What is being tested?
- Whole Genome Sequencing, RNA-Sequencing and Microbiome analysis
- How many people
- 100 participants
- Where
- 1 siteSpain
- Study dates
- 13 Jan 2023to Dec 2029
- Phase
- Observational
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- All sexes
- No healthy volunteers
- Adult, Older adult
Study population: Patients with stage II-III TNBC candidates to receive NACT +/- ICI will be included
Who may be able to join
- Histologically documented TNBC (negative human epidermal growth factor receptor 2 [HER2], estrogen receptor [ER], and progesterone receptor [PgR] status)
- Stage 2 - 3 defined by the American Joint Committee of Cancer (AJCC) staging criteria 8th edition for breast cancer as assessed by the investigator based on radiological and/or clinical assessment
- Patient is a candidate to receive NACT with or without ICI as assessed by the investigator
- Patient is ≥ 18 years old at the time of consent to participate in this trial
Who cannot join
- Metastatic disease on imaging (stage 4)
Trial locations and contacts
1 site in 1 country. Contact the study team or a site near you to ask about taking part.
Spain1 site, 1 recruiting
- Recruiting
Vall d'Hebron Institute of Oncology
Barcelona, 08035
Mafalda Oliveira, MD PhD, +34932543450, moliveira@vhio.net
About this study
Official title: Identification of Predictive Biomarkers of Response to Chemotherapy and Immune Checkpoint Inhibitors in Early Triple Negative Breast Cancer: an Integrative Multiomics Platform
Patients with stage II-III Triple negative breast cancer (TNBC) candidates to receive neoadjuvant chemotherapy (NACT) +/- immune checkpoint inhibitor (ICI) will be included. Several samples from different tissues will be analyzed through different omics to establish predictive biomarkers of response to the treatment. Multiple algorithms will then be used to look for an integrative predictive algorithm that incorporates multi-parameter inputs in order to develop a clinical tool to assist clinicians in the process of treatment decision-making in TNBC.
Read the detailed description
The combination of pembrolizumab, an immune checkpoint inhibitor (ICI), with neoadjuvant chemotherapy (NACT) increases pathologic complete response (pCR) and event-free survival (EFS) in patients with early triple negative breast cancer (eTNBC). However, not all patients equally benefit from a treatment that may have relevant adverse events (AEs).
Objectives: (1) To establish predictive biomarkers of response to NACT + ICI in eTNBC by correlating data coming from different layers of omics performed in different tissues, together with imaging, with pCR, EFS, and overall survival (OS). (2) To integrate data generated from (1), and clinical data, and explore multivariate predictive models of response to NACT + ICI.
Methods: Patients with stage II-III TNBC candidates to receive NACT +/- ICI will be included. Collected samples and type of analysis: (1) Tumor tissue (baseline and from residual disease after NACT): whole genome sequencing (WGS) and RNA-Seq will be performed (Hartwig sequencing platform and analytical pipeline), tissue immune phenotyping (PD-L1, T and B infiltrating lymphocytes, among others), and microbiome analysis (16S rRNA); (2) Blood (before and during NACT): circulating tumor DNA (ctDNA) analysis (targeted gene panel and shallow WGS), T-cell receptor beta (TCR-β) repertoire sequencing and analysis (ImmunoSeq hsTCRβ kit and immunoSEQ), and peripheral blood mononuclear cells (PBMCs) phenotyping; (3) Stools and saliva (before and during NACT): microbiome analysis (16S rRNA); (4) Breast MRI imaging (before and after NACT): radiomics analysis. Multiple algorithms including Multiple Kernel Learning, Multi-Omics Factor Analysis (MOFA) and Method for the Functional Integration of Spatial and Temporal Omics data (MEFISTO) will then be used to look for an integrative predictive algorithm that incorporates multi-parameter inputs. The aim is to provide more personalized treatment efficacy and risk for relapse estimates.
Expected outcome: To develop a clinical tool to assist clinicians in the process of treatment decision-making in eTNBC, in order to maximize patient's benefit and quality of life, while minimizing AEs and financial burden to the health system.
- Conditions
- Triple Negative Breast Cancer
- Being tested
- Whole Genome Sequencing, RNA-Sequencing, Microbiome analysis, ctDNA analysis, TCR-β repertoire sequencing
- Keywords
- Circulating biomarkers, clinical tool, immune checkpoint inhibitors, integrative algorithm, microbiome, multiomics, neoadjuvant chemotherapy, predictive biomarkers, radiomics, RNA-Sequencing, triple negative breast cancer, WGS
- Medical subject headings
- Triple Negative Breast Neoplasms
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Whole Genome SequencingDiagnostic test
Also called WGS
Whole genome sequencing (WGS) will be performed in tumor tissue from baseline and from residual disease after neoadjuvant chemotherapy (NACT), if present.
RNA-SequencingDiagnostic test
RNA-Sequencing will be performed in tumor tissue from baseline and from residual disease after NACT (if present).
Microbiome analysisDiagnostic test
Microbiome analysis will be performed in stools and saliva before, during NACT and at the end of adjuvant systemic therapy if adjuvant systemic therapy is clinically indicated.
ctDNA analysisDiagnostic test
ctDNA analysis will be performed in plasma before and during NACT.
TCR-β repertoire sequencingDiagnostic test
TCR-β repertoire sequencing will be performed in plasma before and during NACT.
PBMCs phenotypingDiagnostic test
PBMCs phenotyping will be performed in plasma before and during NACT.
PembrolizumabDrug
Pembrolizumab will be given in combination with standard NACT.
ChemotherapyDrug
Also called Carboplatin, taxane, anthracycline, cyclophosphamide
Standard NACT will be given.
| Study group | Role | What they receive |
|---|---|---|
| Cohort A | Pembrolizumab + neoadjuvant chemotherapy Receives: Diagnostic Test: Whole Genome Sequencing; Diagnostic Test: RNA-Sequencing; Diagnostic Test: Microbiome analysis; Diagnostic Test: ctDNA analysis; Diagnostic Test: TCR-β repertoire sequencing; Diagnostic Test: PBMCs phenotyping; Drug: Pembrolizumab; Drug: Chemotherapy | |
| Cohort B | Neoadjuvant chemotherapy Receives: Diagnostic Test: Whole Genome Sequencing; Diagnostic Test: RNA-Sequencing; Diagnostic Test: Microbiome analysis; Diagnostic Test: ctDNA analysis; Diagnostic Test: TCR-β repertoire sequencing; Diagnostic Test: PBMCs phenotyping; Drug: Chemotherapy |
What is being measured
The primary outcome is the main question the study is designed to answer.
Pathologic complete response (pCR) rate at definitive surgery
The rate (given as a percentage) of patients with a pCR at definitive surgery using the definition of ypT0/Tis ypN0 (i.e., no invasive residual in breast or nodes; noninvasive breast residuals allowed) from the American Joint Committee on Cancer (AJCC) staging criteria
Measured: after neoadjuvant treatment and surgery, up to approximately 27-30 weeks
Event-free survival (EFS)
EFS is defined as the time from the start of neoadjuvant treatment to any of the following events: progression of disease that precludes surgery, local or distant recurrence, second primary malignancy (breast or other cancers) or death due to any cause
Measured: Up to approximately 60 months
Overall survival (OS)
OS is defined as the time from starting neoadjuvant treatment until death due to any cause
Measured: Up to approximately 60 months
Identification of biomarkers to predict clinical outcomes (pCR at definitive surgery, EFS, OS).
The clinical data (pCR at definitive surgery, EFS, OS) will be integrated with the results from the multiomics platform and multivariate predictive models of response to neoadjuvant chemotherapy (NACT) + immune checkpoint inhibitor (ICI) will be explored. Precisely, the multiomics platform will analyze:
- RNA-Sequencing of the initial tumor and residual disease (if present)
- microbiome analysis of the saliva and feces,
- circulating tumor DNA (ctDNA) analysis (targeted gene panel and shallow WGS),
- Tissue immune phenotyping,
- T-cell receptor beta (TCR-β) repertoire sequencing and analysis using ImmunoSeq hsTCRβ kit and immunoSEQ,
- Breast MRI imaging (before and after NACT),
Multiple algorithms including Multiple Kernel Learning, Multi-Omics Factor Analysis (MOFA) and Method for the Functional Integration of Spatial and Temporal Omics data (MEFISTO) will then be used to look for an integrative predictive algorithm that incorporates multi-parameter inputs.
Measured: After all data are analyzed, up to approximately 60 months
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted23 Jun 2023
- Study start13 Jan 2023
- Primary completionDec 2026 (estimated)
- Study completionDec 2029 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Triple Negative Breast CancerStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Prospective
- Enrolment
- 100 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Vall d'Hebron Institute of Oncology
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT05916755
- Sponsor's protocol ID
- PR(AG)165-2021
- Acronym
- PORTRAIT
- Status last verified
- Jun 2023
- First submitted
- 8 May 2023
- Last updated
- 23 Jun 2023
- Results posted
- No
- FDA-regulated drug
- Yes
- FDA-regulated device
- No
- Individual data sharing
- Undecided
Study at a glance
From the registry record, last updated by the sponsor on 23 Jun 2023. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Identification of Predictive Biomarkers of Response to Chemotherapy and Immune Checkpoint Inhibitors in Early Triple Negative Breast Cancer: an Integrative Multiomics Platform
- ClinicalTrials.gov ID
- NCT05916755
- Acronym / sponsor ID
- PORTRAIT / PR(AG)165-2021
- Conditions
- Triple Negative Breast Cancer
- Keywords
- Circulating biomarkers, clinical tool, immune checkpoint inhibitors, integrative algorithm, microbiome, multiomics, neoadjuvant chemotherapy, predictive biomarkers
- Study type
- Observational
- Recruitment status
- Recruiting
- Enrolment
- 100 participants (estimated)
- Lead sponsor
- Vall d'Hebron Institute of OncologyUniversity, hospital or other
- Study start
- 13 Jan 2023 (actual)
- Primary completion
- Dec 2026 (estimated)
- Study completion
- Dec 2029 (estimated)
- First posted
- 23 Jun 2023 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
Patients with stage II-III Triple negative breast cancer (TNBC) candidates to receive neoadjuvant chemotherapy (NACT) +/- immune checkpoint inhibitor (ICI) will be included. Several samples from different tissues will be analyzed through different omics to establish predictive biomarkers of response to the treatment. Multiple algorithms will then be used to look for an integrative predictive algorithm that incorporates multi-parameter inputs in order to develop a clinical tool to assist clinicians in the process of treatment decision-making in TNBC.
Detailed description
The combination of pembrolizumab, an immune checkpoint inhibitor (ICI), with neoadjuvant chemotherapy (NACT) increases pathologic complete response (pCR) and event-free survival (EFS) in patients with early triple negative breast cancer (eTNBC). However, not all patients equally benefit from a treatment that may have relevant adverse events (AEs).
Objectives: (1) To establish predictive biomarkers of response to NACT + ICI in eTNBC by correlating data coming from different layers of omics performed in different tissues, together with imaging, with pCR, EFS, and overall survival (OS). (2) To integrate data generated from (1), and clinical data, and explore multivariate predictive models of response to NACT + ICI.
Methods: Patients with stage II-III TNBC candidates to receive NACT +/- ICI will be included. Collected samples and type of analysis: (1) Tumor tissue (baseline and from residual disease after NACT): whole genome sequencing (WGS) and RNA-Seq will be performed (Hartwig sequencing platform and analytical pipeline), tissue immune phenotyping (PD-L1, T and B infiltrating lymphocytes, among others), and microbiome analysis (16S rRNA); (2) Blood (before and during NACT): circulating tumor DNA (ctDNA) analysis (targeted gene panel and shallow WGS), T-cell receptor beta (TCR-β) repertoire sequencing and analysis (ImmunoSeq hsTCRβ kit and immunoSEQ), and peripheral blood mononuclear cells (PBMCs) phenotyping; (3) Stools and saliva (before and during NACT): microbiome analysis (16S rRNA); (4) Breast MRI imaging (before and after NACT): radiomics analysis. Multiple algorithms including Multiple Kernel Learning, Multi-Omics Factor Analysis (MOFA) and Method for the Functional Integration of Spatial and Temporal Omics data (MEFISTO) will then be used to look for an integrative predictive algorithm that incorporates multi-parameter inputs. The aim is to provide more personalized treatment efficacy and risk for relapse estimates.
Expected outcome: To develop a clinical tool to assist clinicians in the process of treatment decision-making in eTNBC, in order to maximize patient's benefit and quality of life, while minimizing AEs and financial burden to the health system.
Study design
- Observational model
- Cohort
- Time perspective
- Prospective
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| Cohort A | – | Diagnostic Test: Whole Genome Sequencing, Diagnostic Test: RNA-Sequencing, Diagnostic Test: Microbiome analysis, Diagnostic Test: ctDNA analysis, Diagnostic Test: TCR-β repertoire sequencing, Diagnostic Test: PBMCs phenotyping, Drug: Pembrolizumab, Drug: ChemotherapyPembrolizumab + neoadjuvant chemotherapy |
| Cohort B | – | Diagnostic Test: Whole Genome Sequencing, Diagnostic Test: RNA-Sequencing, Diagnostic Test: Microbiome analysis, Diagnostic Test: ctDNA analysis, Diagnostic Test: TCR-β repertoire sequencing, Diagnostic Test: PBMCs phenotyping, Drug: ChemotherapyNeoadjuvant chemotherapy |
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
- Study population
- Patients with stage II-III TNBC candidates to receive NACT +/- ICI will be included
Key inclusion criteria (4 listed)
- Histologically documented TNBC (negative human epidermal growth factor receptor 2 [HER2], estrogen receptor [ER], and progesterone receptor [PgR] status)
- Stage 2 - 3 defined by the American Joint Committee of Cancer (AJCC) staging criteria 8th edition for breast cancer as assessed by the investigator based on radiological and/or clinical assessment
- Patient is a candidate to receive NACT with or without ICI as assessed by the investigator
- Patient is ≥ 18 years old at the time of consent to participate in this trial
Key exclusion criteria (1 listed)
- Metastatic disease on imaging (stage 4)
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Whole Genome SequencingAlso: WGSWhole genome sequencing (WGS) will be performed in tumor tissue from baseline and from residual disease after neoadjuvant chemotherapy (NACT), if present. | Diagnostic test | Cohort A, Cohort B |
| RNA-SequencingRNA-Sequencing will be performed in tumor tissue from baseline and from residual disease after NACT (if present). | Diagnostic test | Cohort A, Cohort B |
| Microbiome analysisMicrobiome analysis will be performed in stools and saliva before, during NACT and at the end of adjuvant systemic therapy if adjuvant systemic therapy is clinically indicated. | Diagnostic test | Cohort A, Cohort B |
| ctDNA analysisctDNA analysis will be performed in plasma before and during NACT. | Diagnostic test | Cohort A, Cohort B |
| TCR-β repertoire sequencingTCR-β repertoire sequencing will be performed in plasma before and during NACT. | Diagnostic test | Cohort A, Cohort B |
| PBMCs phenotypingPBMCs phenotyping will be performed in plasma before and during NACT. | Diagnostic test | Cohort A, Cohort B |
| PembrolizumabPembrolizumab will be given in combination with standard NACT. | Drug | Cohort A |
| ChemotherapyAlso: Carboplatin, taxane, anthracycline, cyclophosphamideStandard NACT will be given. | Drug | Cohort A, Cohort B |
Primary outcome
Pathologic complete response (pCR) rate at definitive surgery
Time frame: after neoadjuvant treatment and surgery, up to approximately 27-30 weeks
The rate (given as a percentage) of patients with a pCR at definitive surgery using the definition of ypT0/Tis ypN0 (i.e., no invasive residual in breast or nodes; noninvasive breast residuals allowed) from the American Joint Committee on Cancer (AJCC) staging criteria
Event-free survival (EFS)
Time frame: Up to approximately 60 months
EFS is defined as the time from the start of neoadjuvant treatment to any of the following events: progression of disease that precludes surgery, local or distant recurrence, second primary malignancy (breast or other cancers) or death due to any cause
Overall survival (OS)
Time frame: Up to approximately 60 months
OS is defined as the time from starting neoadjuvant treatment until death due to any cause
Identification of biomarkers to predict clinical outcomes (pCR at definitive surgery, EFS, OS).
Time frame: After all data are analyzed, up to approximately 60 months
The clinical data (pCR at definitive surgery, EFS, OS) will be integrated with the results from the multiomics platform and multivariate predictive models of response to neoadjuvant chemotherapy (NACT) + immune checkpoint inhibitor (ICI) will be explored. Precisely, the multiomics platform will analyze: 1. RNA-Sequencing of the initial tumor and residual disease (if present) 2. microbiome analysis of the saliva and feces, 3. circulating tumor DNA (ctDNA) analysis (targeted gene panel and shallow WGS), 4. Tissue immune phenotyping, 5. T-cell receptor beta (TCR-β) repertoire sequencing and analysis using ImmunoSeq hsTCRβ kit and immunoSEQ, 6. Breast MRI imaging (before and after NACT), Multiple algorithms including Multiple Kernel Learning, Multi-Omics Factor Analysis (MOFA) and Method for the Functional Integration of Spatial and Temporal Omics data (MEFISTO) will then be used to look for an integrative predictive algorithm that incorporates multi-parameter inputs.
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 23 Jun 2023.
- Individual participant dataSharing planned: Undecided
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Triple Negative Breast Cancer, run by Vall d'Hebron Institute of Oncology at 1 site in Spain.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 4 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: looking for participants now, as of the sponsor's last update on 23 Jun 2023. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Spain. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Each site lists its own contact: choose the nearest one under Trial locations. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Pathologic complete response (pCR) rate at definitive surgery (time frame: after neoadjuvant treatment and surgery, up to approximately 27-30 weeks). The study lists 4 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 23 Jun 2023; AzTrials last refreshed its copy on 8 Nov 2026.