Small cell lung cancers (SCLCs) and extrapulmonary small cell cancers (SCCs) are very aggressive tumors arising de novo as primary small cell cancer with characteristic genetic lesions in RB1 and TP53. Based on murine models, neuroendocrine stem cells of the terminal bronchioli have been postulated as the cellular origin of primary SCLC. However, both in lung and many other organs, combined small cell/non‐small cell tumors and secondary transitions from non‐small cell carcinomas upon cancer therapy to neuroendocrine and small cell tumors occur. We define features of “small cell‐ness” based on neuroendocrine markers, characteristic RB1 and TP53 mutations and small cell morphology. Furthermore, here we identify a pathway driving the pathogenesis of secondary SCLC involving inactivating NOTCH mutations, activation of the NOTCH target ASCL1 and canonical WNT‐signaling in the context of mutual bi‐allelic RB1 and TP53 lesions. Additionaly, we explored ASCL1 dependent RB inactivation by phosphorylation, which is reversible by CDK5 inhibition. We experimentally verify the NOTCH‐ASCL1‐RB‐p53 signaling axis in vitro and validate its activation by genetic alterations in vivo. We analyzed clinical tumor samples including SCLC, SCC and pulmonary large cell neuroendocrine carcinomas and adenocarcinomas using amplicon‐based Next Generation Sequencing, immunohistochemistry and fluorescence in situ hybridization. In conclusion, we identified a novel pathway underlying rare secondary SCLC which may drive small cell carcinomas in organs other than lung, as well.

We show that the phosphorylation of tyrosine residues 922 and 1173, but not 1068, are primarily affected by the activating EGFR mutations. Akt activity was significantly higher in patients with EGFR mutations but we found no difference in Stat3 or MAPK phosphorylation. Our results suggest that EGFR mutations not only increase receptor activity, but also alter responses of downstream signaling cascades in human NSCLCs and that these finding differ from results obtained in cell lines.

Microsatellite instability (MSI), a common alteration in endometrial cancers (EC) is known as a biomarker for immune checkpoint therapy response alongside screening for Lynch Syndrome (LS). However, former studies described challenging MSI profiles in EC hindering analysis by using MSI testing methods intensively validated for colorectal cancer (CRC) only. In order to reduce false negatives, this study examined four different PCR-based approaches for MSI testing using 25 EC samples already tested for mismatch repair deficiency (dMMR). In a follow up validation set of 75 EC samples previously tested both for MMR and MSI, the efficiency of a seven-marker system corresponding to the Idylla system was further analyzed. Both Bethesda and Promega marker panels require trained operators to overcome interpretation complexities caused by either hardly visible additional peaks of one and two nucleotides, or small shifts in microsatellite repeat length. Using parallel sequencing adjustment of bioinformatics is needed. Applying the Idylla MSI assay, an evaluation of input material is more crucial for reliable results and is indispensable. Following MMR deficiency testing as a first-line screening procedure, additional testing with a PCR-based method is necessary if inconclusive staining of immunohistochemistry (IHC) must be clarified.

Outcome of immune checkpoint inhibition in cancer can be predicted by measuring PDL1 expression of tumor cells. Search for additional biomarkers led to tumor mutational burden (TMB) as surrogate marker for neoantigens presented. While TMB was previously determined via whole exome sequencing (WES), there have been approaches with comprehensive gene panels as well. We sequenced samples derived from formalin-fixed tumors, a POLE mutated cell line and standard DNA by WES and five different panels. If available, normal tissue was also exome sequenced. Sequencing data was analyzed by commercial software solutions and an in-house pipeline. A robust Pearson correlation (R = 0.9801 ± 0.0167; mean ± sd; N = 7) was determined for the different panels in a tumor paired normal setting for WES. Expanded analysis on tumor only exome sequenced samples yielded similar correlation (R = 0.9439 ± 0.0632; mean ± sd; N = 14). Remaining germline variants increased TMB in WES by 5.761 ± 1.953 (mean ± sd.; N = 7) variants per megabase (v/mb) for samples including synonymous variants and 3.883 ± 1.38 v/mb for samples without synonymous variants compared to tumor-normal paired calling results. Due to limited sample numbers in this study, additional replication is suggested for a clinical setting. Remaining germline variants in a tumor-only setting and artifacts caused by different library chemistries construction might affect the results. Immune checkpoint inhibitors significantly increased survival across several tumor entities including non-smallcell lung cancer (NSCLC) and melanoma 1,2. However, the response rate is highly variable even within a certain tumor entity, ranging from complete to no response. Thus, there is an urgent need for new predictive biomarkers to identify patients who are most likely to respond 3-5. Currently, two biomarkers are used to select patients: PDL1 expression as measured by immunohistochemistry is approved for companion and complementary testing prior to immunotherapy by the European Medicines Agency (EMA) and the Food and Drug Administration (FDA). In 2017, FDA also granted approval for the immunotherapy of solid tumors showing high microsatellite instability. Despite several attempts for standardization it seems that PDL1 immunohistochemistry assays alone remain insufficient as also some patients that are negative for PDL1 expression revealed response to immunotherapy 6-9. Retrospective studies showed the predictive ability of tumor mutational burden (TMB) to discriminate responders from non-responders across several tumor entities 10-12. It is hypothesized that tumors with a higher mutation burden are likely to express and present more neoantigens and thereby induce a stronger immune response 13. Supporting evidence came from the identification of other genome-related markers for response like mutations in genes related to DNA repair 14 and deficiencies in the mismatch repair system 15. In previous clinical studies, whole exome sequencing (WES) was used for the measurement of TMB 16,17. WES tumor versus ...