Evidence map›Paper›PMID 31618132›Full record

ArticleJournal of clinical oncology : official journal of the American Society of Clinical Oncology2019

Clinicogenomic Radiotherapy Classifier Predicting the Need for Intensified Locoregional Treatment After Breast-Conserving Surgery for Early-Stage Breast Cancer.

Martin Sjöström, S Laura Chang, Nick Fishbane, Elai Davicioni, Shuang G Zhao, Linda Hartman, Erik Holmberg, Felix Y Feng, Corey W Speers, Lori J Pierce and 3 more

Registry-linked trialAbstract read
In one paragraph

Article in Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06637202 (SB), which is not on this map. Cited by 50 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 1 pooled it
–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.

NCT06637202 naactive not recruitingnot on this map

SB (Swedish Breast Cancer Group) 91:A Breast Conserving Surgery With or Without Postoperative Radiotherapy for Breast Cancer Stage 1-2 (<30 mm) pN0, M0

TypeinterventionalSponsorRegion SkaneRan1991 to 2025Enrolled1,187ConditionsBreast Cancer Early Stage Breast Cancer (Stage 1-3)Armspostoperative radiotherapy
3 · Its place in the literature

Who cites it

50 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Endothelial Cell pY397-FAK Expression Predicts the Risk of Breast Cancer Recurrences after Radiotherapy in the SweBCG91-RT Cohort.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
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  10. Biomedicines · 2025
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  11. Differentiation Stage Predicts Radiosensitivity in Mesenchymal-Like Pancreatic Cancer.International journal of radiation oncology, biology, physics · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Martin SjöströmLund University, Lund, Sweden.
S Laura ChangPFS Genomics, Vancouver, Canada.
Nick FishbaneDecipher Biosciences, Vancouver, Canada.
Elai DavicioniDecipher Biosciences, Vancouver, Canada.
Shuang G ZhaoUniversity of Michigan Medical School, Ann Arbor, MI.
Linda HartmanLund University, Lund, Sweden.
Erik HolmbergInstitute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Sahlgrenska University Hospital, Gothenburg, Sweden.
Felix Y FengUniversity of California San Francisco, San Francisco, CA.
Corey W SpeersUniversity of Michigan Medical School, Ann Arbor, MI.
Lori J PierceUniversity of Michigan Medical School, Ann Arbor, MI.
Per MalmströmLund University, Lund, Sweden.
Mårten FernöLund University, Lund, Sweden.
Per KarlssonInstitute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Sahlgrenska University Hospital, Gothenburg, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeMost patients with early-stage breast cancer are treated with adjuvant radiotherapy (RT) after breast-conserving surgery (BCS) to prevent locoregional recurrence (LRR). However, no genomic tools are used currently to select the optimal RT strategy.

methodsWe profiled the transcriptome of primary tumors on a clinical grade assay from the SweBCG91-RT trial, in which patients with node-negative breast cancer were randomly assigned to either whole-breast RT after BCS or no RT. We derived a new classifier, Adjuvant Radiotherapy Intensification Classifier (ARTIC), comprising 27 genes and patient age, in three publicly available cohorts, then independently validated ARTIC for LRR in 748 patients in SweBCG91-RT. We also compared previously published genomic signatures for ability to predict benefit from RT in SweBCG91-RT.

resultsARTIC was highly prognostic for LRR in patients treated with RT (hazard ratio [HR], 3.4; 95% CI, 2.0 to 5.9;

conclusionARTIC identified women with a substantial benefit from RT as well as women with a particularly elevated LRR risk in whom whole-breast RT was not sufficiently effective and, thus, in whom intensified treatment strategies such as tumor-bed boost, and possibly regional nodal RT, should be considered. To our knowledge, ARTIC is the first classifier validated as predictive of benefit from RT in a phase III clinical trial with patients randomly assigned to receive or not receive RT.

Indexed as

Gene Expression ProfilingBiomarkers, TumorBreast NeoplasmsCohort StudiesFemaleFollow-Up StudiesGene Expression Regulation, NeoplasticHumansLymphatic MetastasisMastectomy, SegmentalNeoplasm Recurrence, LocalPatient SelectionPrognosisRadiotherapy, AdjuvantSurvival RateBiomarkers, Tumor

Identifiers

PMID31618132
PMCPMC6901281

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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.