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  • 1
    In: Molecular Cancer Therapeutics, American Association for Cancer Research (AACR), Vol. 20, No. 12_Supplement ( 2021-12-01), p. P018-P018
    Abstract: Background: About 40-50% of epithelial ovarian cancers (EOC) show defects in DNA repair by homologous recombination (HR), which are mostly associated with BRCA1/2 loss-of-function mutations. The PARP inhibitors (PARPis) olaparib, niraparib and rucaparib were recently approved for treatment of ovarian cancer patients with platinum sensitivity and recurrent ovarian cancer who carry inactivating BRCA1/2 mutations. These targeted drugs produce significant response rates ranging from 40-60% in patients with BRCA-linked advanced EOCs, but resistance is a continuing challenge. Whereas several studies have reported various mechanisms of acquired resistance to PARPis, the mechanisms of primary resistance are still poorly understood. Our goal is to develop predictors of PARPi response and to identify new targets for combination therapy to overcome primary resistance. We apply a novel integrated proteomics approach to develop mechanism-based biomarkers of response or primary resistance and to identify new therapeutic targets for rational combination approaches that can overcome resistance to single agent PARPi therapy. METHODS: The isogenic EOC cell line pair UWB1.289 with BRCA1 deletion (parental; UWB) and reconstituted with ectopic BRCA1 (UWB+B) was used. The effects of FDA approved PARPis on BRCA1-null and BRCA1-reconstituted UWB1.289 cells regarding short- and long-term cell viability were determined by CellTiterGlo and crystal violet assays. Chemical proteomics, global phosphoproteomics and ADP-ribosylation proteomics were used to identify the components of PARP1-based multiprotein complexes as well as protein post-translational modifications in the DNA damage signaling network in BRCA1/2-linked EOC cells. Specific PARP1-engaged protein complexes were further determined by immunoblotting. Frozen BRCA1-proficient and deficient ovarian cancer patient tumor samples collected at the time of debulking were also characterized by chemical proteomics. RESULTS: Cell viability assays confirmed the expected correlation between PARPi response and BRCA1/2 status. Chemical proteomics followed by validation with co-immunoprecipitation revealed differential composition of the PARP1/2-Ku70/Ku80 protein complexes in PARPi-sensitive UWB compared to UWB+B cells. Global phosphoproteomics and ADP-ribosylation proteomics further indicated that rucaparib induced the cell cycle and c-NHEJ pathways in UWB cells, but down-regulated the MAPK pathway in UWB+B cells. In addition, our results showed that inhibition of AKT PARylation and AKT-mTOR signaling may help to preserve cell viability in UWB+B cells after rucaparib treatment. Consistently, synergy with DNAPKi and AKTi was more pronounced in UWB+B cells. CONCLUSION: Ovarian cancers that do not respond to PARPi displayed significant changes in PARPi-engaged protein complexes as well as post-translational protein modifications. The combination of chemical, phospho- and ADP-ribosylation proteomics can generate a systems view of PARP1 complexes and diverse drug compensatory signaling in EOC. Citation Format: Ou Deng, Sweta Dash, Thales Nepomuceno, Bin Fang, Douglas Marchion, John Koomen, Alvaro N. Monteiro, Uwe Rix. Integrative proteomics of PARP1 protein complexes and post-translational modifications implicates DDR and AKT-mTOR signaling in mediating response or primary resistance of ovarian carcinoma cells to PARP1 inhibitors [abstract]. In: Proceedings of the AACR-NCI-EORTC Virtual International Conference on Molecular Targets and Cancer Therapeutics; 2021 Oct 7-10. Philadelphia (PA): AACR; Mol Cancer Ther 2021;20(12 Suppl):Abstract nr P018.
    Type of Medium: Online Resource
    ISSN: 1535-7163 , 1538-8514
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2021
    detail.hit.zdb_id: 2062135-8
    SSG: 12
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  • 2
    In: Journal of Biological Chemistry, Elsevier BV, Vol. 298, No. 11 ( 2022-11), p. 102550-
    Type of Medium: Online Resource
    ISSN: 0021-9258
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2022
    detail.hit.zdb_id: 2141744-1
    detail.hit.zdb_id: 1474604-9
    SSG: 12
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  • 3
    In: Cells, MDPI AG, Vol. 9, No. 1 ( 2020-01-08), p. 153-
    Abstract: The Zika virus (ZIKV) is a mosquito-borne Flavivirus and can be transmitted through an infected mosquito bite or through human-to-human interaction by sexual activity, blood transfusion, breastfeeding, or perinatal exposure. After the 2015–2016 outbreak in Brazil, a strong link between ZIKV infection and microcephaly emerged. ZIKV specifically targets human neural progenitor cells, suggesting that proteins encoded by ZIKV bind and inactivate host cell proteins, leading to microcephaly. Here, we present a systematic annotation of interactions between human proteins and the seven non-structural ZIKV proteins corresponding to a Brazilian isolate. The interaction network was generated by combining tandem-affinity purification followed by mass spectrometry with yeast two-hybrid screens. We identified 150 human proteins, involved in distinct biological processes, as interactors to ZIKV non-structural proteins. Our interacting network is composed of proteins that have been previously associated with microcephaly in human genetic disorders and/or animal models. Further, we show that the protein inhibitor of activated STAT1 (PIAS1) interacts with NS5 and modulates its stability. This study builds on previously published interacting networks of ZIKV and genes related to autosomal recessive primary microcephaly to generate a catalog of human cellular targets of ZIKV proteins implicated in processes related to microcephaly in humans. Collectively, these data can be used as a resource for future characterization of ZIKV infection biology and help create a basis for the discovery of drugs that may disrupt the interaction and reduce the health damage to the fetus.
    Type of Medium: Online Resource
    ISSN: 2073-4409
    Language: English
    Publisher: MDPI AG
    Publication Date: 2020
    detail.hit.zdb_id: 2661518-6
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  • 4
    Online Resource
    Online Resource
    American Association for Cancer Research (AACR) ; 2019
    In:  Molecular Cancer Therapeutics Vol. 18, No. 12_Supplement ( 2019-12-01), p. B022-B022
    In: Molecular Cancer Therapeutics, American Association for Cancer Research (AACR), Vol. 18, No. 12_Supplement ( 2019-12-01), p. B022-B022
    Abstract: Background: About 40-50% of epithelial ovarian cancers (EOC) show defects in DNA repair by homologous recombination (HR), which are mostly associated with BRCA1/2 loss-of-function mutations. The PARP inhibitors (PARPis) olaparib, niraparib and rucaparib were recently approved for treatment of ovarian cancer patients with platinum-sensitivity and recurrent ovarian cancer who carry inactivating BRCA1/2 mutations. These targeted drugs produce significant response rates ranging from 40-60% in patients with BRCA-linked advanced EOCs, but resistance is a continuing challenge. Whereas several studies have reported various mechanisms of acquired resistance to PARPis, the mechanisms of primary resistance are still poorly understood. Our goal is to develop predictors of PARPi response and to identify new targets for combination therapy to overcome primary resistance. We apply a novel integrated proteomics approach to develop mechanism-based biomarkers of response or primary resistance and to identify new therapeutic targets for rational combination approaches that can overcome resistance to single agent PARPi therapy. Methods: Primary patient-derived EOC cell lines and an isogenic EOC cell line pair with BRCA1 deletion and reconstituted with ectopic BRCA1 was used. Primary cell lines were genomically characterized by BROCA next generation sequencing. The effects of the FDA approved PARPis olaparib, rucaparib, and niraparib on BRCA1-null and BRCA1-reconstituted EOC cell lines regarding short- and long-term cell viability were determined by CellTiterGlo and crystal violet assays. Chemical and phosphoproteomics approach was used to identify the components of PARP1-based multiprotein complexes as well as protein post-translational modifications in the DNA damage signaling network in BRCA1/2-linked EOC cells. Specific PARP1-engaged protein complexes were further determined by immunoblotting. Frozen BRCA1-proficient and deficient ovarian cancer patient tumor samples collected at the time of debulking were also characterized by chemical proteomics. Results: Cell viability and clonogenic assays confirmed the expected correlation between PARPi response and BRCA1/2 status. Chemical proteomics with rucaparib and olaparib detected important elements of DNA damage repair, as components of PARP1 protein complexes, which are differentially represented in EOC cells that are sensitive to PARPi treatment compared to cells that show primary resistance to PARPi. In addition, phosphoproteomics analysis further identified significant and actionable changes in the DNA damage response signaling network in these cells. Most interestingly, these PARP1 protein complex differences are also observed in PARPi drug pulldowns (olaparib and rucaparib) from BRCA1-proficient compared to BRCA1-deficient tumor samples. Conclusion: Ovarian cancers that do not respond to PARPi displayed significant changes in PARPi-engaged protein complexes as well as protein modifications. We expect to identify new potential targets for combination therapy BRCA-linked EOC by further validation of our data. Citation Format: Ou Deng, Sweta Dash, Thales Nepomuceno, Ming D Han, Bin Fang, Doug Marchion, Alvaro N Monteiro, Uwe Rix. PARP1 complex composition as a predictor of response to PARP inhibitors in BRCA-linked ovarian carcinoma [abstract]. In: Proceedings of the AACR-NCI-EORTC International Conference on Molecular Targets and Cancer Therapeutics; 2019 Oct 26-30; Boston, MA. Philadelphia (PA): AACR; Mol Cancer Ther 2019;18(12 Suppl):Abstract nr B022. doi:10.1158/1535-7163.TARG-19-B022
    Type of Medium: Online Resource
    ISSN: 1535-7163 , 1538-8514
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2019
    detail.hit.zdb_id: 2062135-8
    SSG: 12
    Location Call Number Limitation Availability
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