Evidence map›Paper›PMID 27708239›Full record

ArticleOncotarget2016

FOXC1 identifies basal-like breast cancer in a hereditary breast cancer cohort.

Jeff Johnson, Michael Choi, Farnaz Dadmanesh, Bingchen Han, Ying Qu, Yi Yu-Rice, Xiao Zhang, Sanjay Bagaria, Clive Taylor, Armando E Giuliano and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.2field-weighted citation impact, top 16% 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

10 citing papers in PubMed, 44 citations in OpenAlex.

  1. FOXC1 Expression Predicts Capecitabine Efficacy in Patients with Triple-Negative Breast Cancer from the GEICAM_CIBOMA Trial.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

12 authors at 3 institutions in 1 country.

Jeff JohnsonDepartment of Surgery, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.
Michael ChoiDepartment of Surgery, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.
Farnaz DadmaneshDepartment of Pathology, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.
Bingchen HanDepartment of Surgery, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.
Ying QuDepartment of Surgery, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.
Yi Yu-RiceDepartment of Surgery, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.
Xiao ZhangBiostatistics and Bioinformatics Research Center, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.
Sanjay BagariaDepartment of Surgery, Mayo Clinic, Jacksonville, FL 32224, USA.
Clive TaylorDepartment of Pathology and Laboratory Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.
Armando E GiulianoDepartment of Surgery, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.
Farin AmersiDepartment of Surgery, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.
Xiaojiang CuiDepartment of Surgery, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.
Cedars-Sinai Medical Center · USMayo Clinic in Florida · USUniversity of Southern California · US

Funding

The Role of FOXCI in Basal-like Breast CancerR01CA151610 · NCI · SAINT JOHN'S CANCER INSTITUTE · PI CUI, XIAOJIANG · 2011 to 2022
$3.8M
NCI NIH HHS R01 CA151610
6 · The paper itself

Abstract

Breast cancers arising in the setting of the hereditary breast cancer genes BRCA1 and BRCA2 are most commonly classified as basal-like breast cancer (BLBC) or luminal breast cancer, respectively. BLBC is an aggressive subtype of breast cancer associated with liver and lung metastases and poorer prognosis than other subtypes and for which chemotherapy is the only systemic therapy. Multiple immunohistochemical markers are used to identify the basal-like subtype, including the absence of estrogen receptor alpha, progesterone receptor, and human epidermal growth factor receptor 2. Forkhead box C1 (FOXC1) has been identified as a specific marker expressed in BLBC in general breast cancer cohorts. We examined an institutional cohort of breast cancer patients with germline BRCA1 (n=46) and BRCA2 (n=35) mutations and found that FOXC1 expression on immunohistochemical staining is associated with BRCA1 vs BRCA2 mutations [30/46 vs. 6/35]. In BRCA1 mutant tumors, FOXC1 was expressed in 28/31 BLBC tumors and 2/13 non-BLBC tumors, In BRCA2 mutant tumors, FOXC1 was expressed in 5/5 BLBC tumors and 1/30 non-BLBC tumors. In cell culture models of BRCA1-mutant breast cancer, FOXC1 is associated with increased proliferation and may serve as a marker for sensitivity to PARP-inhibitor therapy with olaparib.

Indexed as

Biomarkers, TumorAdultBreast NeoplasmsCell ProliferationDrug Resistance, NeoplasmFemaleForkhead Transcription FactorsGene Expression ProfilingGene Knockout TechniquesGenes, BRCA1Genes, BRCA2HumansImmunohistochemistryMiddle AgedMutationNeoplasm GradingBiomarkers, TumorForkhead Transcription FactorsFOXC1 protein, humanolaparibPhthalazinesPiperazinesbasal-like breast cancerBRCAFOXC1immunohistochemistryPARP inhibitor

Identifiers

PMID27708239
PMCPMC5342773
OpenAlexW2524983680

What OpenQuestion holds

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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.