Biology subjects

Grob, L.

Publications and source records attributed to Grob, L..

3 recordsLinked to original sources

bioRxiv2023

Low level of antioxidant capacity biomarkers but not target overexpression predicts vulnerability to ROS-inducing drugs

Despite a strong rationale for why cancer cells are susceptible to redox-targeting drugs, such drugs often face tumor resistance or dose-limiting toxicity in preclinical and clinical studies. An important reason is the lack of specific biomarkers to better select susceptible cancer entities and stratify patients. Using a large panel of lung cancer cell lines, we identified a set of "antioxidant-capacity" biomarkers (ACB), which were tightly repressed, partly by STAT3 and STAT5A/B in sensitive cells, rendering them susceptible to multiple redox-targeting and ferroptosis-inducing drugs. Contrary to expectation, constitutively low ACB expression was not associated with an increased steady state level of reactive oxygen species (ROS) but a high level of nitric oxide, which is required to sustain high replication rates. Using ACBs, we identified cancer entities with a high percentage of patients with favorable ACB expression pattern, making it likely that more responders to ROS-inducing drugs could be stratified for clinical trials.

cancer biology↗

bioRxiv2022

gExcite - A start-to-end framework for single-cell gene expression, hashing, and antibody analysis

SummarySingle-cell RNA sequencing (scRNA-seq) based gene expression analysis is now an established powerful technique to decipher tissues at a single-cell level. Recently, CITE-seq emerged as a multimodal single-cell technology capturing gene expression and surface protein information from the same single-cells, which allows unprecedented insights into disease mechanisms and heterogeneity, as well as immune cell profiling. Multiple single-cell profiling methods exist, but they are typically focussed on either gene expression or antibody analysis, not their combination. Moreover, existing software suites are not easily scalable to a multitude of samples. To this end, we designed gExcite, a start-to-end workflow that provides both gene expression and CITE-seq analysis, as well as hashing deconvolution. Embedded in the Snakemake workflow manager, gExcite facilitates reproducible and scalable analyses. We showcase the output of gExcite on a study of different dissociation protocols on PBMC samples. AvailabilitygExcite is open source available on github at https://github.com/ETH-NEXUS/gExcite_pipeline The software is distributed under the GNU General Public License 3 (GPL3). Contactsinger@nexus.ethz.ch Supplementary InformationSupplementary information is available at the journals web site.

bioinformatics↗

bioRxiv2022

Acquired resistance to anti-PD1 therapy in patients with NSCLC reveals changes in T cell phenotypes and MET amplification

The treatment of non-small cell lung cancer (NSCLC) patients with immune checkpoint inhibitors has prolonged their survival dramatically. However, some patients develop resistance after initial response. Here, we used imaging mass cytometry and whole exome and RNA sequencing to analyze matching tumor samples from a cohort of NSCLC patients who initially responded to immune checkpoint inhibitor therapy and later developed acquired resistance. We detected two patterns of resistance: One group of patients had reduced numbers of tumor-infiltrating CD8+ T cells and reduced expression of PD-L1 after development of resistance, whereas the other group showed high CD8+ T cell infiltration and high expression of PD-L1 and markedly elevated expression of other immune-inhibitory molecules. In two cases, we detected downregulation of type I and II IFN pathways after resistance developed, which could lead to an impaired anti-tumor immune response. This study adds to our knowledge of the mechanisms that cause resistance to immunotherapy in NSCLC patients.

cancer biology↗