Evidence map›Paper›PMID 30086764›Full record

ArticleBreast cancer research : BCR2018

Targeted next-generation sequencing identifies clinically relevant somatic mutations in a large cohort of inflammatory breast cancer.

Xu Liang, Sophie Vacher, Anais Boulai, Virginie Bernard, Sylvain Baulande, Mylene Bohec, Ivan Bièche, Florence Lerebours, Céline Callens

Open access · goldAbstract read
In one paragraph

Article in Breast cancer research : BCR, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 1 pooled it
4.5field-weighted citation impact, top 4% of its field
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

46 citing papers in PubMed, 1 synthesis or guideline pooled it, 85 citations in OpenAlex.

  1. Pooled it
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  4. Clinicogenomic Characterization of Inflammatory Breast Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
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  5. Review
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  10. Mutational landscape of inflammatory breast cancer.Journal of translational medicine · 2024
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  13. Review
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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

9 authors at 4 institutions in 2 countries.

Xu LiangDepartment of Breast Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, China.
Sophie VacherPharmacogenomic Unit, Department of Genetics, Curie Institute, PSL Research University, 26 rue d'Ulm, 75005, Paris, France.
Anais BoulaiPharmacogenomic Unit, Department of Genetics, Curie Institute, PSL Research University, 26 rue d'Ulm, 75005, Paris, France.
Virginie BernardClinic bioinformatic Unit, Department of Biopathology, Curie Institute, PSL Research University, Paris, France.
Sylvain BaulandeInstitut Curie Genomics of Excellence (ICGex) Platform, Curie Institute, PSL Research University, Paris, France.
Mylene BohecInstitut Curie Genomics of Excellence (ICGex) Platform, Curie Institute, PSL Research University, Paris, France.
Ivan BièchePharmacogenomic Unit, Department of Genetics, Curie Institute, PSL Research University, 26 rue d'Ulm, 75005, Paris, France.
Florence LereboursDepartment of Medical Oncology, Curie Institute, René Huguenin Hospital, Saint-Cloud, France.
Céline CallensPharmacogenomic Unit, Department of Genetics, Curie Institute, PSL Research University, 26 rue d'Ulm, 75005, Paris, France. celine.callens@curie.fr.ORCID 0000-0003-3377-4937
Université Paris Sciences et Lettres · FRDélégation Paris 5 · FRHôpital René Huguenin · FRPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInflammatory breast cancer (IBC) is the most aggressive form of primary breast cancer. Using a custom-made breast cancer gene sequencing panel, we investigated somatic mutations in IBC to better understand the genomic differences compared with non-IBC and to consider new targeted therapy in IBC patients.

methodsTargeted next-generation sequencing (NGS) of 91 candidate breast cancer-associated genes was performed on 156 fresh-frozen breast tumor tissues from IBC patients. Mutational profiles from 197 primary breast tumors from The Cancer Genome Atlas (TCGA) were used as non-IBC controls for comparison analysis. The mutational landscape of IBC was correlated with clinicopathological data and outcomes.

resultsAfter genotype calling and algorithmic annotations, we identified 392 deleterious variants in IBC and 320 variants in non-IBC cohorts, respectively. IBC tumors harbored more mutations than non-IBC (2.5 per sample vs. 1.6 per sample, p < 0.0001). Eighteen mutated genes were significantly different between the two cohorts, namely TP53, CDH1, NOTCH2, MYH9, BRCA2, ERBB4, POLE, FGFR3, ROS1, NOTCH4, LAMA2, EGFR, BRCA1, TP53BP1, ESR1, THBS1, CASP8, and NOTCH1. In IBC, the most frequently mutated genes were TP53 (43.0%), PIK3CA (29.5%), MYH9 (8.3%), NOTCH2 (8.3%), BRCA2 (7.7%), ERBB4 (7.1%), FGFR3 (6.4%), POLE (6.4%), LAMA2 (5.8%), ARID1A (5.1%), NOTCH4 (5.1%), and ROS1 (5.1%). After grouping 91 genes on 10 signaling pathways, we found that the DNA repair pathway for the triple-negative breast cancer (TNBC) subgroup, the RTK/RAS/MAPK and cell cycle pathways for the HR

conclusionsBreast cancer-specific targeted NGS uncovered a high frequency of deleterious somatic mutations in IBC, some of which may be relevant for clinical management.

Indexed as

AdultAgedAged, 80 and overBiomarkers, TumorBreastDNA Mutational AnalysisFemaleFollow-Up StudiesHigh-Throughput Nucleotide SequencingHumansInflammatory Breast NeoplasmsKaplan-Meier EstimateMiddle AgedMutationPrognosisProspective StudiesBiomarkers, TumorInflammatory breast cancerPrognosisSomatic mutationTargeted NGS

Identifiers

PMID30086764
PMCPMC6081877
OpenAlexW2886753269

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.