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Sweden Cancerome Analysis Network - Breast : Genomic Profiling of Breast Cancer

SCAN-B: The Sweden Cancerome Analysis Network - Breast Initiative

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT02306096
Acronym
SCAN-B
Enrollment
20000
Registered
2014-12-03
Start date
2010-08-01
Completion date
2031-08-01
Last updated
2026-08-27

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

Conditions

Breast Neoplasms

Keywords

prognostic and predictive biomarkers, RNA-sequencing, pathological complete response, minimal residual disease, molecular subtype, gene expression profiling, mutation screening, BRCA, translational research, genomics, transcriptomics, proteomics, metabolomics, liquid biopsy, circulating tumor cells, circulating tumor DNA, RNA-seq

Brief summary

This study evaluates the genomic profiles of breast cancer in a prospective and population-based manner. In the first phase, breast tumors are analyzed by whole transcriptome RNA-sequencing. Gene expression profiles, mutational profiles, and transcript isoform-level data will be analyzed in the context of patient information, clinicopathological variables, and outcome, with the purpose to develop new molecular diagnostic assays for breast cancer. Additional genome-scale RNA, DNA, and protein analyses will be performed in the future.

Detailed description

Breast cancer exhibits significant molecular, pathological, and clinical heterogeneity. Current patient and clinicopathological evaluation is imperfect for predicting outcome, which results in overtreatment for many patients, and for others, leads to death from recurrent disease. Therefore, additional criteria are needed to better personalize care and maximize treatment effectiveness and survival. The Sweden Cancerome Analysis Network - Breast (SCAN-B) study was initiated in 2010 as a multicenter prospective population-based observational study with long-sighted aims to analyze breast cancers with next-generation genomic technologies for translational research and integrated with healthcare; decipher fundamental tumor biology from these analyses; utilize genomic data to develop and validate new clinically-actionable biomarker assays; and establish real-time clinical implementation of molecular diagnostic, prognostic, and predictive tests. In the first phase, we focus on molecular profiling by next-generation RNA-sequencing. Gene expression profiles, mutational profiles, and transcript isoform-level data will be analyzed in the context of patient information, clinicopathological variables, and outcome, with the purpose to develop new molecular diagnostic assays for breast cancer. Additional genome-scale RNA, DNA, and protein analyses will be performed in the future. As of February 2024, over 20,000 patients have enrolled in the study, representing approximately 85% of all eligible patients within the catchment region. Tissue and blood collection is integrated within healthcare routines and clinical information is provided from national quality registries. As of Q4 2021, the SCAN-B RNA-seq analysis for molecular subtyping and risk-of-recurrence has been clinically implemented for all breast cancer patients in Skåne within the Center for Molecular Diagnostics, Laboratory Medicine, Medical Service, Region Skåne.

Interventions

None listed

Sponsors

Lund University
Lead SponsorOTHER
South Sweden Breast Cancer Group
CollaboratorUNKNOWN
Mrs. Berta Kamprad Foundation
CollaboratorUNKNOWN
U-CAN
CollaboratorUNKNOWN

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Healthy volunteers
No

Inclusion criteria

* suspicion or confirmed diagnosis of primary breast cancer * signed informed consent

Exclusion criteria

* lack of signed informed consent

Design outcomes

Primary

MeasureTime frameDescription
Biomarkers and clinicopathological informationup to 20-yearsAnalysis of genomic data (biomarkers) and their relationship to patient and tumor clinicopathological information; assessment of analytical validity.
Invasive disease-free survivalup to 20-yearsDifferent biomarkers will be analysed in the context of invasive disease-free survival (IDFS) at different time-points for different subgroups of the prospective cohort, for example for all patients receiving a particular therapy or patients with tumors of a specific molecular subtype.

Secondary

MeasureTime frameDescription
Overall survival3-years, 5-years, 10-years, 15-years, 20-yearsDifferent biomarkers will be analysed in the context of overall survival (OS) at different time-points for different subgroups of the prospective cohort, for example for all patients receiving a particular therapy or patients with tumors of a specific molecular subtype.
Breast cancer-specific survival3-years, 5-years, 10-years, 15-years, 20-yearsDifferent biomarkers will be analysed in the context of breast cancer survival (BCS) at different time-points for different subgroups of the prospective cohort, for example for all patients receiving a particular therapy or patients with tumors of a specific molecular subtype.
Pathological responseintraoperativeDifferent biomarkers will be analysed in the context of pathological response at time of surgery for patients receiving pre-operative therapy.

Countries

Sweden

Contacts

CONTACTÅke Borg, PhD
ake.borg@med.lu.se+46-46-2752552
CONTACTLao Saal, MD, PhD
lao.saal@med.lu.se
STUDY_DIRECTORÅke Borg, PhD

Lund University

STUDY_CHAIRCecilia Hegardt, PhD

Lund University

PRINCIPAL_INVESTIGATORChrister Larsson, PhD

Lund University

PRINCIPAL_INVESTIGATORNiklas Loman, MD, PhD

Skane University Hospital

PRINCIPAL_INVESTIGATORJohan Vallon-Christersson, PhD

Lund University

PRINCIPAL_INVESTIGATORAnna Ehinger, MD, PhD

Skane University Hospital

PRINCIPAL_INVESTIGATORLisa Rydén, MD, PhD

Skane University Hospital

PRINCIPAL_INVESTIGATORLao H Saal, MD, PhD

Lund University

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Aug 28, 2026