Evidence map›Paper›PMID 39707454›Full record

ArticleBreast cancer research : BCR2024

Cilengitide sensitivity is predicted by overall integrin expression in breast cancer.

Nomeda Girnius, Aylin Z Henstridge, Benjamin Marks, Jeffrey K Yu, G Kenneth Gray, Chris Sander, Ioannis K Zervantonakis, Augustin Luna

Abstract read
In one paragraph

Article in Breast cancer research : BCR, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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  7. Cancers · 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

8 authors.

Nomeda GirniusDepartment of Cell Biology, Harvard Medical School, Boston, MA, 02115, USA. Nomeda_Girnius@hms.harvard.edu.
Aylin Z HenstridgeDepartment of Cell Biology, Harvard Medical School, Boston, MA, 02115, USA.
Benjamin MarksDepartment of Systems Biology, Harvard Medical School, Boston, MA, 02115, USA.
Jeffrey K YuDepartment of Cell Biology, Harvard Medical School, Boston, MA, 02115, USA.
G Kenneth GrayDepartment of Cell Biology, Harvard Medical School, Boston, MA, 02115, USA.
Chris SanderDepartment of Systems Biology, Harvard Medical School, Boston, MA, 02115, USA.
Ioannis K ZervantonakisDepartment of Bioengineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, PA, 15213, USA.
Augustin LunaComputational Biology Branch, National Library of Medicine and Developmental Therapeutics Branch, National Cancer Institute, Bethesda, MD, 20892, USA. augustin@nih.gov.

Funding

TR&D 3 - Network Guided Machine LearningP41GM103504 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI IDEKER, TREY · 2012 to 2024
$17.3M
NIGMS NIH HHS P41 GM103504
6 · The paper itself

Abstract

backgroundTreatment options for triple-negative breast cancer (TNBC) are limited and patients face a poor prognosis. Here, we sought to identify drugs that target TNBC vulnerabilities and understand the biology underlying these responses. We analyzed the Broad Institute DepMap to identify recurrent TNBC vulnerabilities and performed a 45-compound screen on vulnerability-related pathways on a set of up to 8 TNBC cell lines. We identified a subset of cell lines with an ITGAV vulnerability and a differential sensitivity to cilengitide, an integrin inhibitor targeting ITGAV:ITGB3 and ITGAV:ITGB5. Next, we sought to understand cilengitide resistance and response biomarkers. Clinical trials targeting integrins continue enrolling patients, necessitating an understanding of how these drugs affect tumors.

methodsWe combined in vitro assays with computational approaches to systematically explore the differential sensitivity to cilengitide and resistance mechanisms. We tested an additional pan-ITGAV inhibitor (GLPG0187) to determine how generalizable our findings on cilengitide sensitivity might be to integrin inhibition. ITGB4, ITGA3, and ITGA6 knockdown experiments assessed the importance of integrin monomers in cell attachment during cilengitide treatment. Additionally, we explored the role of extracellular matrix (ECM) proteins in cilengitide response by performing cell replating experiments and by culturing on collagen, fibronectin, or laminin coated plates.

resultsWe discovered that cell-derived ECM modulates cilengitide sensitivity and exogenous fibronectin addition conferred resistance to all sensitive TNBC cell lines, though fibronectin expression did not correlate with sensitivity. Instead, elevated overall integrin protein levels, not specific integrins, in TNBC cells positively correlated with resistance. This suggested that high pan-integrin expression promotes cilengitide resistance. Thus, we tested cilengitide in six luminal breast cancer cell lines (which have low integrin levels); all were sensitive. Also, pan-ITGAV inhibitor, GLPG0187, showed the same sensitivity profile across our TNBC cell lines, suggesting our findings apply to other integrin inhibitors.

conclusionsIntegrin inhibitors are appealing candidates to pursue as anti-cancer drugs because they are generally well-tolerated, but their efficacy is mixed, possibly due to the absence of predictive markers. Cilengitide induces death in breast cancer cells with low integrin abundance, where complementary ECM promotes survival. Thus, integrin inhibition in breast cancer warrants further study.

Indexed as

Drug Resistance, NeoplasmSnake VenomsTriple Negative Breast NeoplasmsAntineoplastic AgentsBiomarkers, TumorCell Line, TumorFemaleGene Expression Regulation, NeoplasticHumansIntegrinsAntineoplastic AgentsBiomarkers, TumorCilengitideIntegrinsSnake VenomsBreast cancerDrug screeningExtracellular matrixIntegrinsProteomicsTriple negative breast cancer

Identifiers

PMID39707454
PMCPMC11660856

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Registered trials

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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.