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1.
NPJ Vaccines ; 8(1): 179, 2023 Nov 21.
Article in English | MEDLINE | ID: mdl-37990024

ABSTRACT

This study reports that most patients with NSCLC had a significant increase in the nAb response to the currently circulating Omicron variants after bivalent booster vaccination and had Ab titers comparable to healthy participants. Interestingly, though the durability of the nAb response persisted in most of the healthy participants, patients with NSCLC had significantly reduced nAb titers after 4-6 months of vaccination. Our data highlight the importance of COVID-19 bivalent booster vaccination as the standard of care for patients with NSCLC given the evolution of new variants of concern.

2.
bioRxiv ; 2023 Jan 27.
Article in English | MEDLINE | ID: mdl-36747658

ABSTRACT

Oncogenic RAS mutations drive aggressive cancers that are difficult to treat in the clinic, and while direct inhibition of the most common KRAS variant in lung adenocarcinoma (G12C) is undergoing clinical evaluation, a wide spectrum of oncogenic RAS variants together make up a large percentage of untargetable lung and GI cancers. Here we report that loss-of-function alterations (mutations and deep deletions) in the gene that encodes HD-PTP (PTPN23) occur in up to 14% of lung cancers in the ORIEN Avatar lung cancer cohort, associate with adenosquamous histology, and occur alongside an altered spectrum of KRAS alleles. Furthermore, we show that in publicly available early-stage NSCLC studies loss of HD-PTP is mutually exclusive with loss of LKB1, which suggests they restrict a common oncogenic pathway in early lung tumorigenesis. In support of this, knockdown of HD-PTP in RAS-transformed lung cancer cells is sufficient to promote FAK-dependent invasion. Lastly, knockdown of the Drosophila homolog of HD-PTP (dHD-PTP/Myopic) synergizes to promote RAS-dependent neoplastic progression. Our findings highlight a novel tumor suppressor that can restrict RAS-driven lung cancer oncogenesis and identify a targetable pathway for personalized therapeutic approaches for adenosquamous lung cancer.

3.
J Clin Oncol ; 40(33): 3808-3816, 2022 11 20.
Article in English | MEDLINE | ID: mdl-35759727

ABSTRACT

PURPOSE: To examine COVID-19 mRNA vaccine-induced binding and neutralizing antibody responses in patients with non-small-cell lung cancer (NSCLC) to SARS-CoV-2 614D (wild type [WT]) strain and variants of concern after the primary 2-dose and booster vaccination. METHODS: Eighty-two patients with NSCLC and 53 healthy volunteers who received SARS-CoV-2 mRNA vaccines were included in the study. Blood was collected longitudinally, and SARS-CoV-2-specific binding and neutralizing antibody responses were evaluated by Meso Scale Discovery assay and live virus Focus Reduction Neutralization Assay, respectively. RESULTS: A majority of patients with NSCLC generated binding and neutralizing antibody titers comparable with the healthy vaccinees after mRNA vaccination, but a subset of patients with NSCLC (25%) made poor responses, resulting in overall lower (six- to seven-fold) titers compared with the healthy cohort (P = < .0001). Although patients age > 70 years had lower immunoglobulin G titers (P = < .01), patients receiving programmed death-1 monotherapy, chemotherapy, or a combination of both did not have a significant impact on the antibody response. Neutralizing antibody titers to the B.1.617.2 (Delta), B.1.351 (Beta), and in particular, B.1.1.529 (Omicron) variants were significantly lower (P = < .0001) compared with the 614D (WT) strain. Booster vaccination led to a significant increase (P = .0001) in the binding and neutralizing antibody titers to the WT and Omicron variant. However, 2-4 months after the booster, we observed a five- to seven-fold decrease in neutralizing titers to WT and Omicron viruses. CONCLUSION: A subset of patients with NSCLC responded poorly to the SARS-CoV-2 mRNA vaccination and had low neutralizing antibodies to the B.1.1.529 Omicron variant. Booster vaccination increased binding and neutralizing antibody titers to Omicron, but antibody titers declined after 3 months. These data highlight the concern for patients with cancer given the rapid spread of SARS-CoV-2 Omicron variant.


Subject(s)
COVID-19 , Carcinoma, Non-Small-Cell Lung , Lung Neoplasms , Humans , Aged , COVID-19 Vaccines , Antibody Formation , SARS-CoV-2 , Carcinoma, Non-Small-Cell Lung/therapy , Lung Neoplasms/therapy , COVID-19/prevention & control , Antibodies, Viral , Immunization , Vaccination , Antibodies, Neutralizing , RNA, Messenger , mRNA Vaccines
4.
Bioinformatics ; 34(7): 1183-1191, 2018 04 01.
Article in English | MEDLINE | ID: mdl-29186335

ABSTRACT

Motivation: As cancer genomics initiatives move toward comprehensive identification of genetic alterations in cancer, attention is now turning to understanding how interactions among these genes lead to the acquisition of tumor hallmarks. Emerging pharmacological and clinical data suggest a highly promising role of cancer-specific protein-protein interactions (PPIs) as druggable cancer targets. However, large-scale experimental identification of cancer-related PPIs remains challenging, and currently available resources to explore oncogenic PPI networks are limited. Results: Recently, we have developed a PPI high-throughput screening platform to detect PPIs between cancer-associated proteins in the context of cancer cells. Here, we present the OncoPPi Portal, an interactive web resource that allows investigators to access, manipulate and interpret a high-quality cancer-focused network of PPIs experimentally detected in cancer cell lines. To facilitate prioritization of PPIs for further biological studies, this resource combines network connectivity analysis, mutual exclusivity analysis of genomic alterations, cellular co-localization of interacting proteins and domain-domain interactions. Estimates of PPI essentiality allow users to evaluate the functional impact of PPI disruption on cancer cell proliferation. Furthermore, connecting the OncoPPi network with the approved drugs and compounds in clinical trials enables discovery of new tumor dependencies to inform strategies to interrogate undruggable targets like tumor suppressors. The OncoPPi Portal serves as a resource for the cancer research community to facilitate discovery of cancer targets and therapeutic development. Availability and implementation: The OncoPPi Portal is available at http://oncoppi.emory.edu. Contact: andrey.ivanov@emory.edu or hfu@emory.edu.


Subject(s)
Cloud Computing , Neoplasm Proteins/metabolism , Neoplasms/metabolism , Protein Interaction Mapping/methods , Humans , Internet
6.
Nat Commun ; 8: 14356, 2017 02 16.
Article in English | MEDLINE | ID: mdl-28205554

ABSTRACT

As genomics advances reveal the cancer gene landscape, a daunting task is to understand how these genes contribute to dysregulated oncogenic pathways. Integration of cancer genes into networks offers opportunities to reveal protein-protein interactions (PPIs) with functional and therapeutic significance. Here, we report the generation of a cancer-focused PPI network, termed OncoPPi, and identification of >260 cancer-associated PPIs not in other large-scale interactomes. PPI hubs reveal new regulatory mechanisms for cancer genes like MYC, STK11, RASSF1 and CDK4. As example, the NSD3 (WHSC1L1)-MYC interaction suggests a new mechanism for NSD3/BRD4 chromatin complex regulation of MYC-driven tumours. Association of undruggable tumour suppressors with drug targets informs therapeutic options. Based on OncoPPi-derived STK11-CDK4 connectivity, we observe enhanced sensitivity of STK11-silenced lung cancer cells to the FDA-approved CDK4 inhibitor palbociclib. OncoPPi is a focused PPI resource that links cancer genes into a signalling network for discovery of PPI targets and network-implicated tumour vulnerabilities for therapeutic interrogation.


Subject(s)
Gene Expression Regulation, Neoplastic/drug effects , Gene Expression Regulation, Neoplastic/genetics , Gene Regulatory Networks/drug effects , Gene Regulatory Networks/genetics , Oncogenes/drug effects , Oncogenes/genetics , Protein Interaction Domains and Motifs/drug effects , Protein Interaction Domains and Motifs/genetics , AMP-Activated Protein Kinase Kinases , Cell Cycle Proteins , Cell Line, Tumor , Cell Survival/drug effects , Cyclin-Dependent Kinase 4/genetics , Cyclin-Dependent Kinase 4/metabolism , Databases, Protein , Genes, Tumor Suppressor/drug effects , Genes, myc/genetics , Genomics , Histone-Lysine N-Methyltransferase/genetics , Histone-Lysine N-Methyltransferase/metabolism , Humans , Lung Neoplasms/drug therapy , Lung Neoplasms/genetics , Lung Neoplasms/metabolism , Molecular Targeted Therapy , Neoplasm Proteins/genetics , Neoplasm Proteins/metabolism , Nuclear Proteins/genetics , Nuclear Proteins/metabolism , Oncogenes/physiology , Protein Interaction Domains and Motifs/physiology , Protein Interaction Mapping , Protein Kinase Inhibitors/pharmacology , Protein Serine-Threonine Kinases/genetics , Protein Serine-Threonine Kinases/metabolism , Protein Stability , Signal Transduction/drug effects , Signal Transduction/genetics , Transcription Factors/genetics , Transcription Factors/metabolism , Tumor Suppressor Proteins/genetics , Tumor Suppressor Proteins/metabolism
7.
PLoS One ; 12(1): e0170339, 2017.
Article in English | MEDLINE | ID: mdl-28118365

ABSTRACT

Protein-protein interactions (PPIs) mediate the transmission and regulation of oncogenic signals that are essential to cellular proliferation and survival, and thus represent potential targets for anti-cancer therapeutic discovery. Despite their significance, there is no method to experimentally disrupt and interrogate the essentiality of individual endogenous PPIs. The ability to computationally predict or infer PPI essentiality would help prioritize PPIs for drug discovery and help advance understanding of cancer biology. Here we introduce a computational method (MEDICI) to predict PPI essentiality by combining gene knockdown studies with network models of protein interaction pathways in an analytic framework. Our method uses network topology to model how gene silencing can disrupt PPIs, relating the unknown essentialities of individual PPIs to experimentally observed protein essentialities. This model is then deconvolved to recover the unknown essentialities of individual PPIs. We demonstrate the validity of our approach via prediction of sensitivities to compounds based on PPI essentiality and differences in essentiality based on genetic mutations. We further show that lung cancer patients have improved overall survival when specific PPIs are no longer present, suggesting that these PPIs may be potentially new targets for therapeutic development. Software is freely available at https://github.com/cooperlab/MEDICI. Datasets are available at https://ctd2.nci.nih.gov/dataPortal.


Subject(s)
Antineoplastic Agents/pharmacology , Data Mining/methods , Drug Discovery , Neoplasm Proteins/metabolism , Software , Adenocarcinoma/genetics , Adenocarcinoma/mortality , Carcinoma, Non-Small-Cell Lung/genetics , Carcinoma, Non-Small-Cell Lung/mortality , Cluster Analysis , Gene Knockdown Techniques , Humans , Lung Neoplasms/genetics , Lung Neoplasms/mortality , Molecular Targeted Therapy , Mutation , Neoplasm Proteins/antagonists & inhibitors , Neoplasm Proteins/genetics , Neural Networks, Computer , Protein Interaction Mapping , RNA Interference , RNA, Small Interfering/pharmacology , Signal Transduction/drug effects , Signal Transduction/genetics
8.
Mol Pharmacol ; 91(4): 339-347, 2017 04.
Article in English | MEDLINE | ID: mdl-28087810

ABSTRACT

The c-Myc (MYC) transcription factor is a major cancer driver and a well-validated therapeutic target. However, directly targeting MYC has been challenging. Thus, identifying proteins that interact with and regulate MYC may provide alternative strategies to inhibit its oncogenic activity. In this study, we report the development of a NanoLuc-based protein-fragment complementation assay (NanoPCA) and mapping of the MYC protein interaction hub in live mammalian cells. The NanoPCA system was configured to enable detection of protein-protein interactions (PPI) at the endogenous level, as shown with PRAS40 dimerization, and detection of weak interactions, such as PINCH1-NCK2. Importantly, NanoPCA allows the study of PPI dynamics with reversible interactions. To demonstrate its utility for large-scale PPI detection in mammalian intracellular environment, we have used NanoPCA to examine MYC interaction with 83 cancer-associated proteins in live cancer cell lines. Our new MYC PPI data confirmed known MYC-interacting proteins, such as MAX, GSK3A, and SMARCA4, and revealed a panel of novel MYC interaction partners, such as RAC-α serine/threonine-protein kinase (AKT)1, liver kinase B (LKB)1, and Yes-associated protein (YAP)1. The MYC interactions with AKT1, LKB1, and YAP1 were confirmed by coimmunoprecipitation of endogenous proteins. Importantly, AKT1, LKB1, and YAP1 were able to activate MYC in a transcriptional reporter assay. Thus, these vital growth control proteins may represent promising MYC regulators, suggesting new mechanisms that couple energetic and metabolic pathways and developmental signaling to MYC-regulated cellular programs.


Subject(s)
Biological Assay , Luciferases/metabolism , Nanoparticles/chemistry , Phosphoproteins/metabolism , Protein Interaction Mapping/methods , Protein Serine-Threonine Kinases/metabolism , Proto-Oncogene Proteins c-akt/metabolism , Proto-Oncogene Proteins c-myc/metabolism , Cell Line, Tumor , HEK293 Cells , High-Throughput Screening Assays , Humans , Protein Binding , Reproducibility of Results
9.
Cell Chem Biol ; 23(7): 769-781, 2016 07 21.
Article in English | MEDLINE | ID: mdl-27427228

ABSTRACT

The KDM5/JARID1 family of Fe(II)- and α-ketoglutarate-dependent demethylases removes methyl groups from methylated lysine 4 of histone H3. Accumulating evidence supports a role for KDM5 family members as oncogenic drivers. We compare the in vitro inhibitory properties and binding affinity of ten diverse compounds with all four family members, and present the crystal structures of the KDM5A-linked Jumonji domain in complex with eight of these inhibitors in the presence of Mn(II). All eight inhibitors structurally examined occupy the binding site of α-ketoglutarate, but differ in their specific binding interactions, including the number of ligands involved in metal coordination. We also observed inhibitor-induced conformational changes in KDM5A, particularly those residues involved in the binding of α-ketoglutarate, the anticipated peptide substrate, and intramolecular interactions. We discuss how particular chemical moieties contribute to inhibitor potency and suggest strategies that might be utilized in the successful design of selective and potent epigenetic inhibitors.


Subject(s)
Enzyme Inhibitors/pharmacology , Organometallic Compounds/pharmacology , Retinoblastoma-Binding Protein 2/antagonists & inhibitors , Crystallography, X-Ray , Dose-Response Relationship, Drug , Enzyme Inhibitors/chemistry , Humans , Models, Molecular , Molecular Structure , Organometallic Compounds/chemistry , Retinoblastoma-Binding Protein 2/isolation & purification , Retinoblastoma-Binding Protein 2/metabolism , Structure-Activity Relationship
10.
J Biol Chem ; 291(6): 2631-46, 2016 Feb 05.
Article in English | MEDLINE | ID: mdl-26645689

ABSTRACT

The KDM5/JARID1 family of Fe(II)- and α-ketoglutarate-dependent demethylases remove methyl groups from tri- and dimethylated lysine 4 of histone H3. Accumulating evidence from primary tumors and model systems supports a role for KDM5A (JARID1A/RBP2) and KDM5B (JARID1B/PLU1) as oncogenic drivers. The KDM5 family is unique among the Jumonji domain-containing histone demethylases in that there is an atypical insertion of a DNA-binding ARID domain and a histone-binding PHD domain into the Jumonji domain, which separates the catalytic domain into two fragments (JmjN and JmjC). Here we demonstrate that internal deletion of the ARID and PHD1 domains has a negligible effect on in vitro enzymatic kinetics of the KDM5 family of enzymes. We present a crystal structure of the linked JmjN-JmjC domain from KDM5A, which reveals that the linked domain fully reconstitutes the cofactor (metal ion and α-ketoglutarate) binding characteristics of other structurally characterized Jumonji domain demethylases. Docking studies with GSK-J1, a selective inhibitor of the KDM6/KDM5 subfamilies, identify critical residues for binding of the inhibitor to the reconstituted KDM5 Jumonji domain. Further, we found that GSK-J1 inhibited the demethylase activity of KDM5C with 8.5-fold increased potency compared with that of KDM5B at 1 mm α-ketoglutarate. In contrast, JIB-04 (a pan-inhibitor of the Jumonji demethylase superfamily) had the opposite effect and was ~8-fold more potent against KDM5B than against KDM5C. Interestingly, the relative selectivity of JIB-04 toward KDM5B over KDM5C in vitro translates to a ~10-50-fold greater growth-inhibitory activity against breast cancer cell lines. These data define the minimal requirements for enzymatic activity of the KDM5 family to be the linked JmjN-JmjC domain coupled with the immediate C-terminal helical zinc-binding domain and provide structural characterization of the linked JmjN-JmjC domain for the KDM5 family, which should prove useful in the design of KDM5 demethylase inhibitors with improved potency and selectivity.


Subject(s)
Histone Demethylases/chemistry , Jumonji Domain-Containing Histone Demethylases/chemistry , Neoplasm Proteins/chemistry , Nuclear Proteins/chemistry , Repressor Proteins/chemistry , Retinoblastoma-Binding Protein 2/chemistry , Histone Demethylases/genetics , Histone Demethylases/metabolism , Humans , Jumonji Domain-Containing Histone Demethylases/genetics , Jumonji Domain-Containing Histone Demethylases/metabolism , MCF-7 Cells , Neoplasm Proteins/genetics , Neoplasm Proteins/metabolism , Nuclear Proteins/genetics , Nuclear Proteins/metabolism , Protein Structure, Secondary , Protein Structure, Tertiary , Repressor Proteins/genetics , Repressor Proteins/metabolism , Retinoblastoma-Binding Protein 2/genetics , Retinoblastoma-Binding Protein 2/metabolism
12.
Comb Chem High Throughput Screen ; 17(3): 290-6, 2014 Mar.
Article in English | MEDLINE | ID: mdl-24409950

ABSTRACT

The Emory Chemical Biology Discovery Center (ECBDC) aims to accelerate high throughput biology and translation of biomedical research discoveries into therapeutic targets and future medicines by providing high throughput research platforms to scientific collaborators worldwide. ECBDC research is focused at the interface of chemistry and biology, seeking to fundamentally advance understanding of disease-related biology with its HTS/HCS platforms and chemical tools, ultimately supporting drug discovery. Established HTS/HCS capabilities, university setting, and expertise in diverse assay formats, including protein-protein interaction interrogation, have enabled the ECBDC to contribute to national chemical biology efforts, empower translational research, and serve as a training ground for young scientists. With these resources, the ECBDC is poised to leverage academic innovation to advance biology and therapeutic discovery.


Subject(s)
Drug Discovery , High-Throughput Screening Assays/methods , Universities/organization & administration , Computational Biology , Cooperative Behavior , Georgia , Humans , Inventions , Phenotype , Signal Transduction
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