Breast NeoplasmsSCAN-BNCT02306096
Sweden Cancerome Analysis Network - Breast : Genomic Profiling of Breast Cancer
An observational study of Breast Neoplasms, run by Lund University at 10 sites in Sweden.
Trial 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. Read more about this study
- Who is it for?
- Any age
- Conditions the study is for
- Breast Neoplasms
- How many people
- 20,000 participants
- Where
- 10 sitesSweden
- Study dates
- Aug 2010to Aug 2031
- 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 Any age
- All sexes
- No healthy volunteers
- Child, Adult, Older adult
Study population: All patients with suspected or confirmed diagnosis of primary breast cancer within participating hospital systems in the South Sweden Healthcare Region, Uppsala County, and Jönköping Country, Sweden. Additional hospital sites from within the Nordic countries are welcome to join.
Who may be able to join
- suspicion or confirmed diagnosis of primary breast cancer
- signed informed consent
Who cannot join
- lack of signed informed consent
Trial locations and contacts
10 sites in 1 country. Contact the study team or a site near you to ask about taking part.
Lao Saal, MD, PhD contact
10 sites in 1 country
Sweden10 sites, 8 recruiting
- Recruiting
Södra Älvsborg Hospital
Borås
Zakaria Einbeigi, PhD MD, +4603306161000, zakaria.einbeigi@oncology.gu.se
- Suspended
Hallands Hospital Halmstad
Halmstad, 30233
- Recruiting
Helsingborg Hospital
Helsingborg, 25187
Anna-Karin Falck, MD, anna-karin.falck@skane.se
- Suspended
Kirurgiska kliniken
Jönköping, 55185
- Recruiting
Blekinge County Hospital
Karlskrona, 37185
Monika Sjövall, MD, monika.sjovall@ltblekinge.se
- Recruiting
Central Hospital Kristianstad
Kristianstad, 29185
Tor Svensjö, MD, PhD, tor.svensjo@skane.se
- Recruiting
Skåne University Hospital
Lund, 22185
Lisa Rydén, MD PhD, +46-46-176241, lisa.ryden@med.lu.se
- Recruiting
Skåne University Hospital
Malmö, 20502
Martin Rehn, MD, PhD, +46-40-331892, martin.rehn@skane.se
- Recruiting
Uppsala University Hospital
Uppsala, 75185
Tobias Sjöblom, PhD, +46-18-4715036, tobias.sjoblom@igp.uu.se
- Recruiting
Central Hospital Växjö
Vaxjo, 35234
Per Weber, MD, +46-470-588052, per.weber@ltkronoberg.se
About this study
Official title: SCAN-B: The Sweden Cancerome Analysis Network - Breast Initiative
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.
Read the 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.
- 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
- Medical subject headings
- Breast Neoplasms, Neoplasm, Residual, Neoplastic Cells, Circulating
What is being measured
The primary outcome is the main question the study is designed to answer.
Biomarkers and clinicopathological information
Analysis of genomic data (biomarkers) and their relationship to patient and tumor clinicopathological information; assessment of analytical validity.
Measured: up to 20-years
Invasive disease-free survival
Different 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.
Measured: up to 20-years
Secondary outcomes (3)
Overall survival
Different 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.
Measured: 3-years, 5-years, 10-years, 15-years, 20-years
Breast cancer-specific survival
Different 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.
Measured: 3-years, 5-years, 10-years, 15-years, 20-years
Pathological response
Different biomarkers will be analysed in the context of pathological response at time of surgery for patients receiving pre-operative therapy.
Measured: intraoperative
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted3 Dec 2014 (estimated)
- Study startAug 2010
- Primary completionAug 2031 (estimated)
- Study completionAug 2031 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (40)Papers the sponsor has linked to this study.
- Other trials for Breast NeoplasmsStudies of the same condition, open and under way.
- More trials run by Lund UniversityThe sponsor's other registered studies.
- 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
- 20,000 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Lund University
- Sponsor type
- University, hospital or other
- Collaborators
- South Sweden Breast Cancer Group, Mrs. Berta Kamprad Foundation, U-CAN
- Responsible party
- Principal investigator, Åke Borg, Lund University
- Investigators
- Åke Borg, PhD, Study director, Lund UniversityCecilia Hegardt, PhD, Study chair, Lund UniversityChrister Larsson, PhD, Principal investigator, Lund UniversityNiklas Loman, MD, PhD, Principal investigator, Skane University HospitalJohan Vallon-Christersson, PhD, Principal investigator, Lund UniversityAnna Ehinger, MD, PhD, Principal investigator, Skane University HospitalLisa Rydén, MD, PhD, Principal investigator, Skane University HospitalLao H Saal, MD, PhD, Principal investigator, Lund University
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT02306096
- Sponsor's protocol ID
- SCANB001
- Acronym
- SCAN-B
- Status last verified
- Aug 2026
- First submitted
- 1 Dec 2014
- Last updated
- 27 Aug 2026
- Results posted
- No
- Data monitoring committee
- No
- Individual data sharing
- Undecided: Upon publication, the relevant anonymized individual participant data will be shared.
Publications
Ryden L, Loman N, Larsson C, Hegardt C, Vallon-Christersson J, Malmberg M, Lindman H, Ehinger A, Saal LH, Borg A. Minimizing inequality in access to precision medicine in breast cancer by real-time population-based molecular analysis in the SCAN-B initiative. Br J Surg. 2018 Jan;105(2):e158-e168. doi: 10.1002/bjs.10741.
PubMed 29341157Axelsson U, Ryden L, Johnsson P, Eden P, Mansson J, Hallberg IR, Borrebaeck CAK. A multicenter study investigating the molecular fingerprint of psychological resilience in breast cancer patients: study protocol of the SCAN-B resilience study. BMC Cancer. 2018 Aug 6;18(1):789. doi: 10.1186/s12885-018-4669-y.
PubMed 30081937Saal LH, Vallon-Christersson J, Hakkinen J, Hegardt C, Grabau D, Winter C, Brueffer C, Tang MH, Reutersward C, Schulz R, Karlsson A, Ehinger A, Malina J, Manjer J, Malmberg M, Larsson C, Ryden L, Loman N, Borg A. The Sweden Cancerome Analysis Network - Breast (SCAN-B) Initiative: a large-scale multicenter infrastructure towards implementation of breast cancer genomic analyses in the clinical routine. Genome Med. 2015 Feb 2;7(1):20. doi: 10.1186/s13073-015-0131-9. eCollection 2015.
PubMed 25722745Staaf J, Glodzik D, Bosch A, Vallon-Christersson J, Reutersward C, Hakkinen J, Degasperi A, Amarante TD, Saal LH, Hegardt C, Stobart H, Ehinger A, Larsson C, Ryden L, Loman N, Malmberg M, Kvist A, Ehrencrona H, Davies HR, Borg A, Nik-Zainal S. Whole-genome sequencing of triple-negative breast cancers in a population-based clinical study. Nat Med. 2019 Oct;25(10):1526-1533. doi: 10.1038/s41591-019-0582-4. Epub 2019 Sep 30.
PubMed 31570822Vallon-Christersson J, Hakkinen J, Hegardt C, Saal LH, Larsson C, Ehinger A, Lindman H, Olofsson H, Sjoblom T, Warnberg F, Ryden L, Loman N, Malmberg M, Borg A, Staaf J. Cross comparison and prognostic assessment of breast cancer multigene signatures in a large population-based contemporary clinical series. Sci Rep. 2019 Aug 21;9(1):12184. doi: 10.1038/s41598-019-48570-x.
PubMed 31434940Dihge L, Vallon-Christersson J, Hegardt C, Saal LH, Hakkinen J, Larsson C, Ehinger A, Loman N, Malmberg M, Bendahl PO, Borg A, Staaf J, Ryden L. Prediction of Lymph Node Metastasis in Breast Cancer by Gene Expression and Clinicopathological Models: Development and Validation within a Population-Based Cohort. Clin Cancer Res. 2019 Nov 1;25(21):6368-6381. doi: 10.1158/1078-0432.CCR-19-0075. Epub 2019 Jul 24.
PubMed 31340938Lundgren C, Bendahl PO, Borg A, Ehinger A, Hegardt C, Larsson C, Loman N, Malmberg M, Olofsson H, Saal LH, Sjoblom T, Lindman H, Klintman M, Hakkinen J, Vallon-Christersson J, Ferno M, Ryden L, Ekholm M. Agreement between molecular subtyping and surrogate subtype classification: a contemporary population-based study of ER-positive/HER2-negative primary breast cancer. Breast Cancer Res Treat. 2019 Nov;178(2):459-467. doi: 10.1007/s10549-019-05378-7. Epub 2019 Aug 20.
PubMed 31432367Sokilde R, Persson H, Ehinger A, Pirona AC, Ferno M, Hegardt C, Larsson C, Loman N, Malmberg M, Ryden L, Saal L, Borg A, Vallon-Christerson J, Rovira C. Refinement of breast cancer molecular classification by miRNA expression profiles. BMC Genomics. 2019 Jun 17;20(1):503. doi: 10.1186/s12864-019-5887-7.
PubMed 31208318Persson H, Sokilde R, Hakkinen J, Pirona AC, Vallon-Christersson J, Kvist A, Mertens F, Borg A, Mitelman F, Hoglund M, Rovira C. Frequent miRNA-convergent fusion gene events in breast cancer. Nat Commun. 2017 Oct 5;8(1):788. doi: 10.1038/s41467-017-01176-1.
PubMed 28983113Persson H, Sokilde R, Hakkinen J, Vallon-Christersson J, Mitelman F, Borg A, Hoglund M, Rovira C. Analysis of fusion transcripts indicates widespread deregulation of snoRNAs and their host genes in breast cancer. Int J Cancer. 2020 Jun 15;146(12):3343-3353. doi: 10.1002/ijc.32927. Epub 2020 Feb 28.
PubMed 32067223Winter C, Nilsson MP, Olsson E, George AM, Chen Y, Kvist A, Torngren T, Vallon-Christersson J, Hegardt C, Hakkinen J, Jonsson G, Grabau D, Malmberg M, Kristoffersson U, Rehn M, Gruvberger-Saal SK, Larsson C, Borg A, Loman N, Saal LH. Targeted sequencing of BRCA1 and BRCA2 across a large unselected breast cancer cohort suggests that one-third of mutations are somatic. Ann Oncol. 2016 Aug;27(8):1532-8. doi: 10.1093/annonc/mdw209. Epub 2016 May 18.
PubMed 27194814Dahlgren M, George AM, Brueffer C, Gladchuk S, Chen Y, Vallon-Christersson J, Hegardt C, Hakkinen J, Ryden L, Malmberg M, Larsson C, Gruvberger-Saal SK, Ehinger A, Loman N, Borg A, Saal LH. Preexisting Somatic Mutations of Estrogen Receptor Alpha (ESR1) in Early-Stage Primary Breast Cancer. JNCI Cancer Spectr. 2021 Apr 22;5(2):pkab028. doi: 10.1093/jncics/pkab028. eCollection 2021 Apr.
PubMed 33937624Brueffer C, Gladchuk S, Winter C, Vallon-Christersson J, Hegardt C, Hakkinen J, George AM, Chen Y, Ehinger A, Larsson C, Loman N, Malmberg M, Ryden L, Borg A, Saal LH. The mutational landscape of the SCAN-B real-world primary breast cancer transcriptome. EMBO Mol Med. 2020 Oct 7;12(10):e12118. doi: 10.15252/emmm.202012118. Epub 2020 Sep 14.
PubMed 32926574Glodzik D, Bosch A, Hartman J, Aine M, Vallon-Christersson J, Reutersward C, Karlsson A, Mitra S, Nimeus E, Holm K, Hakkinen J, Hegardt C, Saal LH, Larsson C, Malmberg M, Ryden L, Ehinger A, Loman N, Kvist A, Ehrencrona H, Nik-Zainal S, Borg A, Staaf J. Comprehensive molecular comparison of BRCA1 hypermethylated and BRCA1 mutated triple negative breast cancers. Nat Commun. 2020 Jul 27;11(1):3747. doi: 10.1038/s41467-020-17537-2.
PubMed 32719340Larsson C, Ehinger A, Winslow S, Leandersson K, Klintman M, Dahl L, Vallon-Christersson J, Hakkinen J, Hegardt C, Manjer J, Saal L, Ryden L, Malmberg M, Borg A, Loman N. Prognostic implications of the expression levels of different immunoglobulin heavy chain-encoding RNAs in early breast cancer. NPJ Breast Cancer. 2020 Jul 6;6:28. doi: 10.1038/s41523-020-0170-2. eCollection 2020.
PubMed 32656317
Study at a glance
From the registry record, last updated by the sponsor on 27 Aug 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- SCAN-B: The Sweden Cancerome Analysis Network - Breast Initiative
- ClinicalTrials.gov ID
- NCT02306096
- Acronym / sponsor ID
- SCAN-B / SCANB001
- Conditions
- Breast Neoplasms
- Keywords
- prognostic and predictive biomarkers, RNA-sequencing, pathological complete response, minimal residual disease, molecular subtype, gene expression profiling, mutation screening, BRCA
- Study type
- Observational
- Recruitment status
- Recruiting
- Enrolment
- 20,000 participants (estimated)
- Lead sponsor
- Lund UniversityUniversity, hospital or other
- Collaborators
- South Sweden Breast Cancer Group, Mrs. Berta Kamprad Foundation, U-CAN
- Study start
- Aug 2010
- Primary completion
- Aug 2031 (estimated)
- Study completion
- Aug 2031 (estimated)
- First posted
- 3 Dec 2014 (estimated)
- 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.
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.
Study design
- Observational model
- Cohort
- Time perspective
- Prospective
Who may qualify
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Child, Adult, Older adult
- Study population
- All patients with suspected or confirmed diagnosis of primary breast cancer within participating hospital systems in the South Sweden Healthcare Region, Uppsala County, and Jönköping Country, Sweden. Additional hospital sites from within the Nordic countries are welcome to join.
Key inclusion criteria (2 listed)
- suspicion or confirmed diagnosis of primary breast cancer
- signed informed consent
Key exclusion criteria (1 listed)
- lack of signed informed consent
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Primary outcome
Biomarkers and clinicopathological information
Time frame: up to 20-years
Analysis of genomic data (biomarkers) and their relationship to patient and tumor clinicopathological information; assessment of analytical validity.
Invasive disease-free survival
Time frame: up to 20-years
Different 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.
3 secondary outcomes
Overall survival
Time frame: 3-years, 5-years, 10-years, 15-years, 20-years
Breast cancer-specific survival
Time frame: 3-years, 5-years, 10-years, 15-years, 20-years
Pathological response
Time frame: intraoperative
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 27 Aug 2026.
- Background: PubMed 29341157Ryden L, Loman N, Larsson C, Hegardt C, Vallon-Christersson J, Malmberg M, Lindman H, Ehinger A, Saal LH, Borg A. Minimizing inequality in access to precision medicine in breast cancer by real-time population-based molecular analysis in the SCAN-B initiative. Br J Surg. 2018 Jan;105(2):e158-e168. doi: 10.1002/bjs.10741.
- Background: PubMed 30081937Axelsson U, Ryden L, Johnsson P, Eden P, Mansson J, Hallberg IR, Borrebaeck CAK. A multicenter study investigating the molecular fingerprint of psychological resilience in breast cancer patients: study protocol of the SCAN-B resilience study. BMC Cancer. 2018 Aug 6;18(1):789. doi: 10.1186/s12885-018-4669-y.
- Results publication: PubMed 25722745Saal LH, Vallon-Christersson J, Hakkinen J, Hegardt C, Grabau D, Winter C, Brueffer C, Tang MH, Reutersward C, Schulz R, Karlsson A, Ehinger A, Malina J, Manjer J, Malmberg M, Larsson C, Ryden L, Loman N, Borg A. The Sweden Cancerome Analysis Network - Breast (SCAN-B) Initiative: a large-scale multicenter infrastructure towards implementation of breast cancer genomic analyses in the clinical routine. Genome Med. 2015 Feb 2;7(1):20. doi: 10.1186/s13073-015-0131-9. eCollection 2015.
- Results publication: PubMed 31570822Staaf J, Glodzik D, Bosch A, Vallon-Christersson J, Reutersward C, Hakkinen J, Degasperi A, Amarante TD, Saal LH, Hegardt C, Stobart H, Ehinger A, Larsson C, Ryden L, Loman N, Malmberg M, Kvist A, Ehrencrona H, Davies HR, Borg A, Nik-Zainal S. Whole-genome sequencing of triple-negative breast cancers in a population-based clinical study. Nat Med. 2019 Oct;25(10):1526-1533. doi: 10.1038/s41591-019-0582-4. Epub 2019 Sep 30.
- Results publication: PubMed 31434940Vallon-Christersson J, Hakkinen J, Hegardt C, Saal LH, Larsson C, Ehinger A, Lindman H, Olofsson H, Sjoblom T, Warnberg F, Ryden L, Loman N, Malmberg M, Borg A, Staaf J. Cross comparison and prognostic assessment of breast cancer multigene signatures in a large population-based contemporary clinical series. Sci Rep. 2019 Aug 21;9(1):12184. doi: 10.1038/s41598-019-48570-x.
- Results publication: PubMed 31340938Dihge L, Vallon-Christersson J, Hegardt C, Saal LH, Hakkinen J, Larsson C, Ehinger A, Loman N, Malmberg M, Bendahl PO, Borg A, Staaf J, Ryden L. Prediction of Lymph Node Metastasis in Breast Cancer by Gene Expression and Clinicopathological Models: Development and Validation within a Population-Based Cohort. Clin Cancer Res. 2019 Nov 1;25(21):6368-6381. doi: 10.1158/1078-0432.CCR-19-0075. Epub 2019 Jul 24.
- Results publication: PubMed 31432367Lundgren C, Bendahl PO, Borg A, Ehinger A, Hegardt C, Larsson C, Loman N, Malmberg M, Olofsson H, Saal LH, Sjoblom T, Lindman H, Klintman M, Hakkinen J, Vallon-Christersson J, Ferno M, Ryden L, Ekholm M. Agreement between molecular subtyping and surrogate subtype classification: a contemporary population-based study of ER-positive/HER2-negative primary breast cancer. Breast Cancer Res Treat. 2019 Nov;178(2):459-467. doi: 10.1007/s10549-019-05378-7. Epub 2019 Aug 20.
- Results publication: PubMed 31208318Sokilde R, Persson H, Ehinger A, Pirona AC, Ferno M, Hegardt C, Larsson C, Loman N, Malmberg M, Ryden L, Saal L, Borg A, Vallon-Christerson J, Rovira C. Refinement of breast cancer molecular classification by miRNA expression profiles. BMC Genomics. 2019 Jun 17;20(1):503. doi: 10.1186/s12864-019-5887-7.
- Results publication: PubMed 28983113Persson H, Sokilde R, Hakkinen J, Pirona AC, Vallon-Christersson J, Kvist A, Mertens F, Borg A, Mitelman F, Hoglund M, Rovira C. Frequent miRNA-convergent fusion gene events in breast cancer. Nat Commun. 2017 Oct 5;8(1):788. doi: 10.1038/s41467-017-01176-1.
- Results publication: PubMed 32067223Persson H, Sokilde R, Hakkinen J, Vallon-Christersson J, Mitelman F, Borg A, Hoglund M, Rovira C. Analysis of fusion transcripts indicates widespread deregulation of snoRNAs and their host genes in breast cancer. Int J Cancer. 2020 Jun 15;146(12):3343-3353. doi: 10.1002/ijc.32927. Epub 2020 Feb 28.
- Results publication: PubMed 27194814Winter C, Nilsson MP, Olsson E, George AM, Chen Y, Kvist A, Torngren T, Vallon-Christersson J, Hegardt C, Hakkinen J, Jonsson G, Grabau D, Malmberg M, Kristoffersson U, Rehn M, Gruvberger-Saal SK, Larsson C, Borg A, Loman N, Saal LH. Targeted sequencing of BRCA1 and BRCA2 across a large unselected breast cancer cohort suggests that one-third of mutations are somatic. Ann Oncol. 2016 Aug;27(8):1532-8. doi: 10.1093/annonc/mdw209. Epub 2016 May 18.
- Results publication: PubMed 33937624Dahlgren M, George AM, Brueffer C, Gladchuk S, Chen Y, Vallon-Christersson J, Hegardt C, Hakkinen J, Ryden L, Malmberg M, Larsson C, Gruvberger-Saal SK, Ehinger A, Loman N, Borg A, Saal LH. Preexisting Somatic Mutations of Estrogen Receptor Alpha (ESR1) in Early-Stage Primary Breast Cancer. JNCI Cancer Spectr. 2021 Apr 22;5(2):pkab028. doi: 10.1093/jncics/pkab028. eCollection 2021 Apr.
- Sweden Cancerome Analysis Network - Breast (SCAN-B) Website (Lund University) \[SWEDISH LANGUAGE\]Link provided by the sponsor.
- Individual participant dataSharing planned: Undecided. Upon publication, the relevant anonymized individual participant data will be shared.
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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.
Lao Saal, MD, PhD contact
Åke Borg, PhD study director
Lund University
Cecilia Hegardt, PhD study chair
Lund University
Christer Larsson, PhD principal investigator
Lund University
10 sites in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Breast Neoplasms, run by Lund University at 10 sites in Sweden.
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 2 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 27 Aug 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 10 sites in Sweden. 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?
Contact Åke Borg, PhD (+46-46-2752552, ake.borg@med.lu.se), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Biomarkers and clinicopathological information (time frame: up to 20-years). The study lists 2 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT02306096, which also lists 40 linked publications.
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 27 Aug 2026.