Evidence map›Paper›PMID 40378057›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2025

Clinicogenomic Characterization of Inflammatory Breast Cancer.

Nolan Priedigkeit, Beth Harrison, Robert Shue, Melissa E Hughes, Yvonne Li, Alinés Lebrón-Torres, Gregory J Kirkner, Liam F Spurr, Marie Claire Remolano, Sarah Strauss and 20 more

Abstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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.

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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

30 authors.

Nolan Priedigkeit *Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0001-8330-5210
Beth Harrison *Harvard Medical School, Boston, Massachusetts.ORCID 0000-0002-8341-2961
Robert Shue *Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0009-0001-9019-6427
Melissa E HughesDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0001-6190-9101
Yvonne LiDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0002-1741-1995
Alinés Lebrón-TorresThe Broad Institute of MIT & Harvard, Cambridge, Massachusetts.ORCID 0009-0004-9739-0881
Gregory J KirknerDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0009-0005-0386-5223
Liam F SpurrDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0001-6465-7739
Marie Claire RemolanoDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0009-0002-1370-953X
Sarah StraussDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0009-0001-2928-4903
Janet FilesDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0009-0009-7708-9991
Anne-Marie FeeneyDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0009-0008-9468-1746
Libby GrantDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0009-0008-2616-2899
Ayesha Mohammed-AbreuDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0009-0000-2711-9624
Ana Garrido-CastroDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0002-5989-6636
Romualdo Barroso-SousaDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0002-1825-9876
Brittany BychkovskyDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0001-7969-0603
Faina NakhlisHarvard Medical School, Boston, Massachusetts.ORCID 0000-0003-4752-0161
Jennifer R BellonHarvard Medical School, Boston, Massachusetts.ORCID 0000-0001-6241-0230
Tari A KingHarvard Medical School, Boston, Massachusetts.ORCID 0000-0003-3602-2351
Eric P WinerDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0002-8819-1723
Neal LindemanHarvard Medical School, Boston, Massachusetts.ORCID 0000-0002-7092-6859
Bruce E JohnsonDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0002-5252-3677
Lynette ShollHarvard Medical School, Boston, Massachusetts.ORCID 0000-0002-9532-9735
Deborah DillonHarvard Medical School, Boston, Massachusetts.ORCID 0000-0002-4977-6673
Beth OvermoyerDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0003-4438-7000
Sara M TolaneyDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0002-5940-8671
Andrew D CherniackDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0003-0470-0111
Nancy U LinDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0003-2263-5413
Filipa LynceDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0001-6615-7076

Funding

Tissue and Pathology CoreP50CA168504 · NCI · DANA-FARBER CANCER INST · PI Nabihah Tayob · 2013 to 2026
$30.1M
American Association for Cancer Research (AACR)ASCO Foundation Young Investigator Award for Translational Cancer Research 24-40-31-PRIEBreast Cancer Research FundConquer Cancer Foundation (CCF)Dana-Farber Inflammatory Breast Cancer Research FundMcGuirk Family FundNational Comprehensive Cancer Network/PfizerNCI NIH HHS P50 CA168504OOFOS Project PinkPan-Mass ChallengePan-Mass Challenge Team DuncanRichard K. Lubin Family Foundation through the Lubin Family Foundation Scholar AwardSaverin Breast Cancer Research FundSusan G. Komen (SGK) CTA241185983
6 · The paper itself

Abstract

purposeInflammatory breast cancer (IBC) is a rare and clinically distinct form of breast cancer associated with poor outcomes. The biological mechanisms driving IBC remain poorly understood, partly due to limited large-scale genomic studies that directly compare IBC with non-IBC cases. EXPERIMENTAL

designWe conducted a retrospective analysis of 140 patients with IBC (68 primary tumors and 72 metastatic tumors) and 2,317 patients with non-IBC (700 primary tumors, 65 local recurrences, and 1,552 metastases). We compared clinicopathologic features, single-nucleotide variants, copy-number variants, tumor mutational burden, and exploratory survival outcomes between IBC and non-IBC tumors.

resultsThe most frequent somatic alterations in IBC were detected in TP53 (72%), ERBB2 (32%), PIK3CA (24%), CCND1 (12%), MYC (9%), FGFR1 (8%), and GATA3 (8%). Multivariate logistic regression revealed a significant enrichment of TP53 single-nucleotide variants in IBC, particularly in HER2+ and hormone receptor-positive disease. Tumor mutational burden did not differ between IBC and non-IBC cases. In HER2+ disease, a pathway analysis revealed an enrichment of NOTCH pathway alterations. TP53, CCND1, and RB1 alterations were associated with poor outcomes in IBC.

conclusionsThis study provides a comprehensive resource of somatic alterations in a large cohort of patients with metastatic IBC and non-IBC, highlighting genomic features associated with worse outcomes. Our findings reveal a significant enrichment of TP53 mutations, reinforcing its critical role in IBC pathogenesis. Few other distinct differences in IBC were observed, suggesting further investigations-beyond bulk sequencing of the somatic genome-are required to better understand the biology driving this aggressive disease.

Indexed as

Biomarkers, TumorInflammatory Breast NeoplasmsAdultAgedAged, 80 and overDNA Copy Number VariationsFemaleGenomicsHumansMiddle AgedMutationPolymorphism, Single NucleotidePrognosisRetrospective StudiesBiomarkers, Tumor

Identifiers

PMID40378057
PMCPMC12255483

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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.