Evidence map›Paper›PMID 31432367›Full record

ArticleBreast cancer research and treatment2019

Agreement between molecular subtyping and surrogate subtype classification: a contemporary population-based study of ER-positive/HER2-negative primary breast cancer.

Christine Lundgren, Pär-Ola Bendahl, Åke Borg, Anna Ehinger, Cecilia Hegardt, Christer Larsson, Niklas Loman, Martin Malmberg, Helena Olofsson, Lao H Saal and 8 more

Registry-linked trialAbstract read
In one paragraph

Article in Breast cancer research and treatment, 2019. 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 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Breast care (Basel, Switzerland) · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Observational
  11. Article
  12. Article
  13. Article
  14. Article
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  17. Cancer Progress and Priorities: Breast Cancer.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2021
    Review
  18. Observational
  19. Article
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

18 authors.

Christine LundgrenDepartment of Oncology, Jönköping, Region Jönköping County, and Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden. christine.lundgren@med.lu.se.ORCID http://orcid.org/0000-0002-7880-2981
Pär-Ola BendahlDepartment of Clinical Sciences Lund, Division of Oncology and Pathology, Lund University, Lund, Sweden.
Åke BorgDepartment of Clinical Sciences Lund, Division of Oncology and Pathology, Lund University, Lund, Sweden.
Anna EhingerDepartment of Clinical Sciences Lund, Division of Oncology and Pathology, Lund University, Lund, Sweden.
Cecilia HegardtDepartment of Clinical Sciences Lund, Division of Oncology and Pathology, Lund University, Lund, Sweden.
Christer LarssonDepartment of Laboratory Medicine Lund, Division of Translational Cancer Research, Lund University, Lund, Sweden.
Niklas LomanDepartment of Clinical Sciences Lund, Division of Oncology and Pathology, Lund University, Lund, Sweden.
Martin MalmbergDepartment of Clinical Sciences Lund, Division of Oncology and Pathology, Lund University, Lund, Sweden.
Helena OlofssonDepartment of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
Lao H SaalDepartment of Clinical Sciences Lund, Division of Oncology and Pathology, Lund University, Lund, Sweden.
Tobias SjöblomDepartment of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
Henrik LindmanDepartment of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
Marie KlintmanDepartment of Clinical Sciences Lund, Division of Oncology and Pathology, Lund University, Lund, Sweden.
Jari HäkkinenDepartment of Clinical Sciences Lund, Division of Oncology and Pathology, Lund University, Lund, Sweden.
Johan Vallon-ChristerssonDepartment of Clinical Sciences Lund, Division of Oncology and Pathology, Lund University, Lund, Sweden.
Mårten FernöDepartment of Clinical Sciences Lund, Division of Oncology and Pathology, Lund University, Lund, Sweden.
Lisa RydénDepartment of Clinical Sciences Lund, Division of Surgery, Lund University, Lund, Sweden.
Maria EkholmDepartment of Oncology, Jönköping, Region Jönköping County, and Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeOestrogen receptor-positive (ER+) and human epidermal receptor 2-negative (HER2-) breast cancers are classified as Luminal A or B based on gene expression, but immunohistochemical markers are used for surrogate subtyping. The aims of this study were to examine the agreement between molecular subtyping (MS) and surrogate subtyping and to identify subgroups consisting mainly of Luminal A or B tumours.

methodsThe cohort consisted of 2063 patients diagnosed between 2013-2017, with primary ER+/HER2- breast cancer, analysed by RNA sequencing. Surrogate subtyping was performed according to three algorithms (St. Gallen 2013, Maisonneuve and our proposed Grade-based classification). Agreement (%) and kappa statistics (κ) were used as concordance measures and ROC analysis for luminal distinction. Ki67, progesterone receptor (PR) and histological grade (HG) were further investigated as surrogate markers.

resultsThe agreement rates between the MS and St. Gallen 2013, Maisonneuve and Grade-based classifications were 62% (κ = 0.30), 66% (κ = 0.35) and 70% (κ = 0.41), respectively. PR did not contribute to distinguishing Luminal A from B tumours (auROC = 0.56). By classifying HG1-2 tumours as Luminal A-like and HG3 as Luminal B-like, agreement with MS was 80% (κ = 0.46). Moreover, by combining HG and Ki67 status, a large subgroup of patients (51% of the cohort) having > 90% Luminal A tumours could be identified.

conclusionsAgreement between MS and surrogate classifications was generally poor. However, a post hoc analysis showed that a combination of HG and Ki67 could identify patients very likely to have Luminal A tumours according to MS.

Indexed as

Biomarkers, TumorBreast NeoplasmsErb-b2 Receptor Tyrosine KinasesFemaleGene Expression Regulation, NeoplasticHumansMolecular Diagnostic TechniquesNeoplasm GradingNeoplasm StagingPopulation SurveillanceReceptors, EstrogenTumor BurdenBiomarkers, TumorErb-b2 Receptor Tyrosine KinasesReceptors, EstrogenBreast cancerGene expressionIntrinsic subtypeMolecular subtypingSurrogate marker

Identifiers

PMID31432367
PMCPMC6797629

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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.