Evidence map›Paper›PMID 29341157›Full record

ArticleThe British journal of surgery2018

Minimizing inequality in access to precision medicine in breast cancer by real-time population-based molecular analysis in the SCAN-B initiative.

L Rydén, N Loman, C Larsson, C Hegardt, J Vallon-Christersson, M Malmberg, H Lindman, A Ehinger, L H Saal, Å Borg

Registry-linked trialAbstract read
In one paragraph

Article in The British journal of surgery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02306096 (SCAN-B), which is not on this map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT02306096 recruitingnot on this map

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

TypeobservationalSponsorLund UniversityRan2010 to 2031Enrolled20,000ConditionsBreast Neoplasms
3 · Its place in the literature

Who cites it

44 citing papers in PubMed.

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  13. Global Transcriptional Complexity of Estrogen Receptor-Low Positive Breast Cancers in the Prospective Swedish Population-Based SCAN-B Cohort.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

L RydénDepartment of Clinical Sciences Lund, Surgery, Lund University, Lund, Sweden.ORCID 0000-0001-7515-3130
N LomanDepartment of Clinical Sciences Lund, Oncology and Pathology, Lund University, Lund, Sweden.
C LarssonDepartment of Laboratory Medicine Lund, Translational Cancer Research, Lund University, Lund, Sweden.
C HegardtDepartment of Clinical Sciences Lund, Oncology and Pathology, Lund University, Lund, Sweden.
J Vallon-ChristerssonDepartment of Clinical Sciences Lund, Oncology and Pathology, Lund University, Lund, Sweden.
M MalmbergDepartment of Clinical Sciences Lund, Oncology and Pathology, Lund University, Lund, Sweden.
H LindmanDepartment of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
A EhingerDepartment of Clinical Sciences Lund, Oncology and Pathology, Lund University, Lund, Sweden.
L H SaalDepartment of Clinical Sciences Lund, Oncology and Pathology, Lund University, Lund, Sweden.
Å BorgDepartment of Clinical Sciences Lund, Oncology and Pathology, Lund University, Lund, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSelection of systemic therapy for primary breast cancer is currently based on clinical biomarkers along with stage. Novel genomic tests are continuously being introduced as more precise tools for guidance of therapy, although they are often developed for specific patient subgroups. The Sweden Cancerome Analysis Network - Breast (SCAN-B) initiative aims to include all patients with breast cancer for tumour genomic analysis, and to deliver molecular subtype and mutational data back to the treating physician.

methodsAn infrastructure for collection of blood and fresh tumour tissue from all patients newly diagnosed with breast cancer was set up in 2010, initially including seven hospitals within the southern Sweden regional catchment area, which has 1.8 million inhabitants. Inclusion of patients was implemented into routine clinical care, with collection of tumour tissue at local pathology departments for transport to the central laboratory, where routines for rapid sample processing, RNA sequencing and biomarker reporting were developed.

resultsMore than 10 000 patients from nine hospitals have currently consented to inclusion in SCAN-B with high (90 per cent) inclusion rates from both university and secondary hospitals. Tumour samples and successful RNA sequencing are being obtained from more than 70 per cent of patients, showing excellent representation compared with the national quality registry as a truly population-based cohort. Molecular biomarker reports can be delivered to multidisciplinary conferences within 1 week.

conclusionPopulation-based collection of fresh tumour tissue is feasible given a decisive joint effort between academia and collaborative healthcare groups, and with governmental support. An infrastructure for genomic analysis and prompt data output paves the way for novel systemic therapy for patients from all hospitals, irrespective of size and location.

Indexed as

Biomarkers, TumorBreast NeoplasmsHealthcare DisparitiesHigh-Throughput Nucleotide SequencingHumansMutationPatient Acceptance of Health CarePrecision MedicineSwedenBiomarkers, Tumor

Identifiers

PMID29341157
PMCPMC5817401

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.