Publication Summary

Torin2 exploits replication and checkpoint vulnerabilities to cause death of PI3K-activated triple-negative breast cancer cells.

Sameer S. Chopra1,3,5, Anne Jenney1,3, Adam Palmer1,3, Mario Niepel1,3, Mirra Chung1,3Caitlin Mills1,3, Sindhu Carmen Sivakumaren2,5, Qingsong Liu2,5, Jia-Yun Chen1, Clarence Yapp1,3, John M. Asara4, Nathanael S. Gray2,5 and Peter K. Sorger1,3,6,*

1Laboratory for Systems Pharmacology, Harvard Medical School, 200 Longwood Avenue, Boston, MA 02115, USA
2Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, 200 Longwood Avenue, Boston, MA 02115, USA
3Harvard Ludwig Center, Harvard Medical School, 200 Longwood Avenue, Boston, MA 02115, USA
4Division of Signal Transduction, Beth Israel Deaconess Medical Center, Harvard Medical School, 200 Longwood Avenue, Boston, MA 02115, USA
5Dana-Farber Cancer Institute, 450 Brookline Avenue, Boston, MA 02215, USA
6Lead contact
*Correspondence: Peter_Sorger [at] hms.harvard.edu

Figure 1b. Clustergram heatmap of mean GRmax values for 24 drugs in six TNBC cell lines; N=3 experiments. Dark shading denotes GRmax<0 (i.e., cytotoxicity). Red, highly effective drugs; blue, MAPK inhibitor.

 

Synopsis

Current treatments for triple negative breast cancer (TNCB) have high rates of relapse and low overall survival rates. Many drug development efforts have focused on inhibiting the PI3K signaling pathway, which is often mutated and overactive in TNBCs, but the >40 PI3K-targeting drugs currently available have been only moderately successful in the clinic. In contrast, Chopra et al. show that preclinical drug Torin2, which is polyselective, targeting not only PI3K but also PI3K-like kinases and mTOR proteins, was highly effective at killing TNBC cells.
 

Key Findings

  • Whereas a diverse collection of PI3K inhibitors did not fully block proliferation or cause cell death in TNBCs with activated PI3K, preclinical Torin2 induced apoptosis in all cell lines tested.
  • A chemical genetic approach showed that inhibition of PIKKs and mTORC1/2 is responsible for Torin2’s effectiveness against TNBC cells.
  • Co-targeting of multiple kinase classes exploits replicative and checkpoint vulnerabilities unique to TNBCs resulting in selective killing.
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    Abstract

    Frequent mutation of PI3K/AKT/mTOR signaling pathway genes in human cancers has stimulated large investments in targeted drugs but clinical successes are rare. As a result, many cancers with high PI3K activity, such as triple negative breast cancer (TNBC), are treated primarily with chemotherapy. By systematically analyzing responses of TNBC cells to a diverse collection of PI3K pathway inhibitors, we find that one drug, Torin2, is unusually effective because it inhibits both mTOR and PI3K-like kinases (PIKKs). In contrast to mTOR-selective inhibitors, Torin2 exploits dependencies on several kinases for S-phase progression and cell-cycle checkpoints, thereby causing accumulation of single-stranded DNA and death by replication catastrophe or mitotic failure. Thus, Torin2 and its chemical analogs represent a mechanistically distinct class of PI3K pathway inhibitors that are uniquely cytotoxic to TNBC cells. This insight could be translated therapeutically by further developing Torin2 analogs or combinations of existing mTOR and PIKK inhibitors.
     

    Datasets and Associated Metadata and Code

    Data analyses available via https://github.com/datarail/datrail”. An introduction to GR metrics can be found at http://www.grcalculator.org. The following data are available for download.
     

    Figure Dataset HMS LINCS ID Synapse ID
    Evaluation of the sensitivities of six triple-negative breast cancer (TNBC) cell lines to 23 different PI3K/AKT/mTOR inhibitors or to a MEK inhibitor (trametinib). Dataset 1 of 2: GR values. 20364
    Evaluation of the sensitivities of six triple-negative breast cancer (TNBC) cell lines to 23 different PI3K/AKT/mTOR inhibitors or to a MEK inhibitor (trametinib). Dataset 2 of 2: GR metrics. 20365
    Evaluation of the sensitivity of two triple-negative breast cancer cell lines (HCC1806, HCC70) to a collection of dual mTOR and PI3K-like kinase (PIKK) inhibitors. Dataset 1 of 2: GR values. 20366
    Evaluation of the sensitivity of two triple-negative breast cancer cell lines (HCC1806, HCC70) to a collection of dual mTOR and PI3K-like kinase (PIKK) inhibitors. Dataset 2 of 2: GR metrics. 20367
    Targeted metabolomics profiling data (i.e., peak intensity measurements) after acute exposure of BT-549 cells to DMSO or rapamycin, AZD8055 or Torin2 at two doses (100nM, 1000nM) for 6 hours. 20368
    Breast Cancer Profiling Project, Drug Sensitivity phase I: Fixed-cell GR measures of 35 breast cell lines to 34 small molecule perturbagens from library plate I. Dataset 1 of 2: Normalized growth rate inhibition values 20343
    Breast Cancer Profiling Project, Drug Sensitivity phase I: Fixed-cell GR measures of 35 breast cell lines to 34 small molecule perturbagens from library plate I. Dataset 2 of 2: Calculated dose response metrics 20344

     

    Funding Sources

    This work was funded by NIH/NCI grants HL127365 (to P.K.S. and N.S.G.) and CA225088 (to P.K.S. and S.S.C.), the DFCI Leadership Council (S.S.C.), Conquer Cancer Foundation of ASCO (S.C.), and T32 CA 9172-4 (S.S.C.). Mass spectrometry was supported in part by CA120964 (J.M.A.) and CA006516 (J.M.A.).