Biology subjects

Reinhold, W.

Publications and source records attributed to Reinhold, W..

3 recordsLinked to original sources

bioRxiv2025

SCLC-TumorMiner: A Directly Accessible Genomics Resource for Precision Oncology: Big Data for Small Cells

Small cell lung cancer (SCLC) is among the most aggressive malignancies. Unlike many other cancers, it is not represented in The Cancer Genome Atlas, and available datasets are fragmented across institutions, disease stages, and treatment settings. RNA sequencing provides a powerful and cost-effective approach, but the high dimensionality of transcriptomic data and the heterogeneity of patient cohorts pose significant challenges. To address such challenges, we developed SCLC TumorMiner (https://discover.nci.nih.gov/SclcTumorMinerCDB/), which includes 50 tumor samples from relapse patients at the National Cancer Institute (NCI) and 154 samples from untreated patients at the University of Cologne and Tongji University. SCLC TumorMiner enables molecular classification, genomic pathway analyses, risk stratification, identification of predictive cell-surface biomarkers such as DLL3 or TROP2, and drug-response biomarkers such as SLFN11. SCLC TumorMiner illustrates profound differences between untreated and relapse patient samples. Additionally, "MyPatient", one of SCLC TumorMiners modules, is presented as a medical assistant application prototype.

cancer biology↗

bioRxiv2023

Metabolism-focused CRISPR screen unveils Mitochondrial Pyruvate Carrier 1 as a critical driver for PARP inhibitor resistance in lung cancer

Homologous recombination (HR) and poly ADP-ribosylation are partially redundant pathways for repair of DNA damage in normal and cancer cells. In cell lines that are deficient in HR, inhibition of poly (ADP-ribose) polymerase (PARP1/2) is a proven target with several PARP inhibitors (PARPi) currently in clinical use. Resistance to PARP inhibitors often develops, usually involving genetic alterations in DNA repair signaling cascades, but also metabolic rewiring particularly in HR-proficient cells. PARP1/2 utilize NAD+ (nicotinamide adenine dinucleotide), an essential substrate not only for PARPs but also for multiple pathways in cellular metabolism, TCA cycle and mitochondrial functions. Thus, NAD+ is central to many key cellular functions. Both activation of PARPs by DNA damage and their inhibition by drugs such as olaparib affect NAD+ consumption. We surmised that alterations in NAD+ metabolism by cancer drugs such as Olaparib might be involved in the development of resistance to drug therapy. To test this hypothesis, we conducted a metabolism-focused CRISPR knockout (KO) screen to identify genes which undergo alterations during treatment of tumor cells with PARP inhibitors. Of about 3000 genes in the screen, our data revealed that mitochondrial pyruvate carrier 1 (MPC1) is an essential factor in desensitizing NSCLC lung cancer lines to PARP inhibition. In contrast to NSCLC lung cancer cells, triple negative breast cancer cells do not exhibit such desensitization following MPC1 loss and reprogram the TCA cycle and oxidative phosphorylation pathways to overcome PARP inhibitor treatment. Our findings unveil a previously unknown synergistic response between MPC1 loss and PARP inhibition in lung cancer cells.

cancer biology↗

bioRxiv2018

Rapid proteotyping reveals cancer biology and drug response determinants in the NCI-60 cells

We describe the rapid and reproducible acquisition of quantitative proteome maps for the NCI-60 cancer cell lines and their use to reveal cancer biology and drug response determinants. Proteome datasets for the 60 cell lines were acquired in duplicate within 30 working days using pressure cycling technology and SWATH mass spectrometry. We consistently quantified 3,171 proteotypic proteins annotated in the SwissProt database across all cell lines, generating a data matrix with 0.1% missing values, allowing analyses of protein complexes and pathway activities across all the cancer cells. Systematic and integrative analysis of the genetic variation, mRNA expression and proteomic data of the NCI-60 cancer cell lines uncovered complementarity between different types of molecular data in the prediction of the response to 240 drugs. We additionally identified novel proteomic drug response determinants for clinically relevant chemotherapeutic and targeted therapies. We anticipate that this study represents a significant advance toward the translational application of proteotypes, which reveal biological insights that are easily missed in the absence of proteomic data.

systems biology↗