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Lehman, C.

Publications and source records attributed to Lehman, C..

4 recordsLinked to original sources

Spatial analysis reveals combinative role for natural killer and CD8 T cells in antitumor immunity despite profound MHC class I loss in non-small cell lung cancer

BackgroundMHC class I (MHC-I) loss is frequent in non-small cell lung cancer (NSCLC) rendering tumor cells resistant to T cell lysis. NK cells kill MHC-I-deficient tumor cells, and although previous work indicated their presence at NSCLC margins, they were functionally impaired. Within, we evaluated whether NK cell and CD8 T cell infiltration and activation vary with MHC-I expression. MethodsWe used single-stain immunohistochemistry (IHC) and Kaplan-Meier analysis to test the effect of NK cell and CD8 T cell infiltration on overall and disease-free survival. To delineate immune covariates of MHC-I-disparate lung cancers, we used multiplexed immunofluorescence (mIF) imaging followed by multivariate statistical modeling. To identify differences in infiltration and intercellular communication between IFN{gamma}-activated and non-activated lymphocytes, we developed a computational pipeline to enumerate single cell neighborhoods from mIF images followed by multivariate discriminant analysis ResultsSpatial quantitation of tumor cell MHC-I expression revealed intra- and inter-tumoral heterogeneity, which was associated with the local lymphocyte landscape. IHC analysis revealed that high CD56+ cell numbers in patient tumors were positively associated with disease-free survival (DFS) (HR=0.58, p=0.064) and over-all survival (OS) (HR=0.496, p=0.041). The OS association strengthened with high counts of both CD56+ and CD8+ cells (HR=0.199, p<1x10-3). mIF imaging and multivariate discriminant analysis revealed enrichment of both CD3+CD8+ T cells and CD3-CD56+ NK cells in MHC-I-bearing tumors (p<0.05). To infer associations of functional cell states and local cell-cell communication, we analyzed spatial single cell neighborhood profiles to delineate the cellular environments of IFN{gamma}+/- NK cells and T cells. We discovered that both IFN{gamma}+ NK and CD8 T cells were more frequently associated with other IFN{gamma}+ lymphocytes in comparison to IFN{gamma}- NK cells and CD8 T cells (p<1x10-30). Moreover, IFN{gamma}+ lymphocytes were most often found clustered near MHC-I+ tumor cells. ConclusionsTumor-infiltrating NK cells and CD8 T cells jointly affected control of NSCLC tumor progression. Co-association of NK and CD8 T cells was most evident in MHC-I-bearing tumors, especially in the presence of IFN{gamma}. Frequent co-localization of IFN{gamma}+ NK cells with other IFN{gamma}+ lymphocytes in near-neighbor analysis suggests NSCLC lymphocyte activation is coordinately regulated. What is already known on this topicMHC-I loss occurs frequently in NSCLC and corresponds with waning immunity in the tumor microenvironment (TME). NK cells recognize "missing-self" targets and could be leveraged to target NSCLC tumors with MHC-I loss. While NK cell presence at tumor margins has been documented in NSCLC, they were shown to lose function in this environment. What this study addsWe developed spatial analysis pipelines leveraging the local heterogeneity of the TME at single cell resolution to test whether NK cells and T cells together contribute antitumoral immunity in NSCLC. We discovered that a high density of tumor-infiltrating NK cells corresponded with DFS, and this association was increased in patients with high coincident CD8 T cells, especially those in central tumor. Intriguingly, both cell types were found clustered together in MHC-I-bearing tumors, especially when both expressed IFN{gamma}, suggesting coordinated lymphocyte activities may enhance immune control of NSCLC. How this study might affect research, practice, or policyThis study provides a rationale for developing novel immunotherapies that simultaneously increase NK and T cell anti-tumoral immunity. Associations linking NK cells with patient survival and increased immune effector activity in NSCLC, even in MHC-I-deficient tumors, further highlights the need to devise and deploy NK cell activating strategies which may be highly efficacious in CD8 T cell refractory NSCLC. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=94 SRC="FIGDIR/small/581048v2_ufig1.gif" ALT="Figure 1"> View larger version (36K): org.highwire.dtl.DTLVardef@1e383c0org.highwire.dtl.DTLVardef@1dee268org.highwire.dtl.DTLVardef@1e21bd4org.highwire.dtl.DTLVardef@1910a9f_HPS_FORMAT_FIGEXP M_FIG C_FIG

immunology↗

The potentiative cytotoxic effect of IGF1R and EGFR inhibition on the Head and Neck Cancer Proteome

Head and neck cancers are the sixth most common cancer worldwide. Combinatorial targeted therapy has the potential to reduce drug resistance and increase cytotoxicity to head and neck squamous cell carcinoma (HNSCC). Using drug combinations is especially important when targeting the epidermal growth factor receptor (EGFR) since we previously demonstrated that activation of the insulin-like growth factor 1 receptor (IGF1R) is a mechanism for resistance against EGFR inhibition and that a combination of an IGF1R inhibitor, BMS754807, and an EGFR inhibitor, BMS599626, robustly inhibited the growth of HNSCC cell lines in vitro. To examine the mechanism of cytotoxicity, we performed protein pathway activation mapping via reverse phase protein array (RPPA) analysis of 145 proteins and phosphoproteins in five HNSCC cell lines to map key proteins and phosphoproteins important in tumorigenesis. By performing principal component analysis, calculating log fold changes, and constructing protein networks, we were able to provide evidence to support the hypothesis that the combination of IGF1R and EGFR inhibitors has a potentiative effect on inhibiting receptor tyrosine kinase signaling. The effects of the individual drugs are amplified, demonstrating that the combination more robustly inhibits the pathways of both receptors.

cancer biology↗

A continuously self-sterilizing form of copper capable of 99% SARS-CoV-2 deactivation in 30 seconds.

The coronavirus disease 2019 (COVID-19) has created an acute worldwide demand for sustained broadband pathogen suppression in households, hospitals, and public spaces. The US recently passed a new sad milestone of 500,000 deaths due to COVID-19, the highest rate anywhere in the world. In response, we have created a rapid-acting, self-sterilizing PPE configurations capable of killing SARS-CoV-2 and other microbes in seconds. The highly active material destroys pathogens faster than any conventional copper configuration. The material maintains its antimicrobial efficacy over sustained use and is shelf stable. We have performed rigorous testing in accordance with guidelines from U.S. governing authorities and believe that the material could offer broad spectrum, non-selective defense against most microbes via integration into masks and other protective equipment. SummaryA novel configuration of copper offering continued fast-acting protection against viruses and bacteria, including SARS-CoV-2.

immunology↗

Nanotrap(R) particles improve detection of SARS-CoV-2 for pooled sample methods, extraction-free saliva methods, and extraction-free medium methods

Here we present a rapid and versatile method for capturing and concentrating SARS-CoV-2 from transport medium and saliva using affinity-capture magnetic hydrogel particles. We demonstrate that the method concentrates virus prior to RNA extraction, thus significantly improving detection of the virus using a real-time RT-PCR assay across a range of viral titers, from 100 to 1,000,000 viral copies/mL; in particular, detection of virus in low viral load samples is enhanced when using the method coupled with the IDT 2019-nCoV CDC EUA Kit. This method is compatible with commercially available nucleic acid extraction kits, as well with a simple heat and detergent method. Using transport medium diagnostic remnant samples that previously had been tested for SARS-CoV-2 using either the Abbott RealTime SARS-CoV-2 EUA Test (n=14) or the Cepheid Xpert Xpress SARS-CoV-2 EUA Test (n=35), we demonstrate that our method not only correctly identifies all positive samples (n = 17) but also significantly improves detection of the virus in low viral load samples. The average improvement in cycle threshold (Ct) value as measured with the IDT 2019-nCoV CDC EUA Kit was 3.1; n = 10. Finally, to demonstrate that the method could potentially be used to enable pooled testing, we spiked infectious virus or a confirmed positive diagnostic remnant sample into 5 mL and 10 mL of negative transport medium and observed significant improvement in the detection of the virus from those larger sample volumes.

microbiology↗