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Coordinated activation of c-Src and FOXM1 drives tumor cell proliferation and breast cancer progression
Ipshita Nandi, … , Benita S. Katzenellenbogen, William J. Muller
Ipshita Nandi, … , Benita S. Katzenellenbogen, William J. Muller
Published February 16, 2023
Citation Information: J Clin Invest. 2023;133(7):e162324. https://doi.org/10.1172/JCI162324.
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Research Article Oncology

Coordinated activation of c-Src and FOXM1 drives tumor cell proliferation and breast cancer progression

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Abstract

Activation of the tyrosine kinase c-Src promotes breast cancer progression and poor outcomes, yet the underlying mechanisms are incompletely understood. Here, we have shown that deletion of c-Src in a genetically engineered model mimicking the luminal B molecular subtype of breast cancer abrogated the activity of forkhead box M1 (FOXM1), a master transcriptional regulator of the cell cycle. We determined that c-Src phosphorylated FOXM1 on 2 tyrosine residues to stimulate its nuclear localization and target gene expression. These included key regulators of G2/M cell-cycle progression as well as c-Src itself, forming a positive feedback loop that drove proliferation in genetically engineered and patient-derived models of luminal B–like breast cancer. Using genetic approaches and small molecules that destabilize the FOXM1 protein, we found that targeting this mechanism induced G2/M cell-cycle arrest and apoptosis, blocked tumor progression, and impaired metastasis. We identified a positive correlation between FOXM1 and c-Src expression in human breast cancer and show that the expression of FOXM1 target genes predicts poor outcomes and associates with the luminal B subtype, which responds poorly to currently approved therapies. These findings revealed a regulatory network centered on c-Src and FOXM1 that is a targetable vulnerability in aggressive luminal breast cancers.

Authors

Ipshita Nandi, Harvey W. Smith, Virginie Sanguin-Gendreau, Linjia Ji, Alain Pacis, Vasilios Papavasiliou, Dongmei Zuo, Stella Nam, Sherif S. Attalla, Sung Hoon Kim, Sierra Lusson, Hellen Kuasne, Anne-Marie Fortier, Paul Savage, Constanza Martinez Ramirez, Morag Park, John A. Katzenellenbogen, Benita S. Katzenellenbogen, William J. Muller

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Figure 10

Inhibition of FOXM1 or c-Src impairs human luminal B breast cancer growth in vivo.

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Inhibition of FOXM1 or c-Src impairs human luminal B breast cancer growt...
(A) Quantification of FOXM1/p-SFK (Y416) double-positive cores and nuclear FOXM1/p-SFK (Y416) double-positive cells in ER– (ER-neg.) (n = 76) and ER+ (ER-pos.) (n = 84) breast tumor samples from a TMA. (B) PLA of FOXM1/p-SFK (Y416) interaction in PDX models. Left panels: Images representative of PLA on 3 tumors from each model. Scale bar: 20 μm. Plot on the right shows quantification of the number and size of PLA puncta. Data are representative of 3 fields of view per tumor (minimum of 200 cells analyzed per sample). **P < 0.01, by 1-way ANOVA with Tukey’s post hoc test. Con., control; Lum., luminal. (C) Left panel: Tumor growth in PDX-bearing mice treated with the indicated SFK inhibitors or vehicle. n = 10 per treatment group. *P < 0.05 and ****P < 0.0001, by 1-way ANOVA with Dunnett’s post hoc test. Right panel: qRT-PCR analysis of the indicated mRNAs, normalized to Actb, in tumor samples. n = 6 per treatment group. *P < 0.05, **P < 0.01, ***P < 0.001, and *****P < 0.0001, by 1-way ANOVA with Dunnett’s post hoc test. Das, dasatinib; eCF, eCF506. (D) Left panel: Tumor growth in mice bearing luminal B–like PDX tumors and treated with a FOXM1 inhibitor (NB-55), SFK inhibitor (eCF506) or vehicle (n = 5 per treatment group). **P < 0.01, by 1-way ANOVA with Dunnett’s post hoc test. Right panel: qRT-PCR analysis of the indicated mRNAs in tumor samples. n = 4 per treatment group. *P < 0.05, **P < 0.01, ***P < 0.001, and ****P < 0.0001, by 1-way ANOVA with Dunnett’s post hoc test. (E) qRT-PCR analysis of SRC mRNA levels in PDX tumors as in D. n = 5 per treatment group. ****P < 0.0001, by 1-way ANOVA with Dunnett’s post hoc test.

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ISSN: 0021-9738 (print), 1558-8238 (online)

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