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Multivariable Survival Models.

Figure S1. Selected images of different sTILs amounts, illustration of applied scoring method and images of IHC stainings. Figure S2. TLS in MIBC Figure S3. Subtyping of the CCC-EMN cohort and the TCGA-Cohort according to the MDACC-subtyping gene signature Figure S4. TCGA-Basal tumors (n=142). CIBERSORT and Mutational Burden. Figure S5. TCGA Luminal tumors (n=243). CIBERSORT and Mutational Burden. Figure S6. Distribution of tumor mutational burden (TMB; based on total single nucleotide variants) and neoantigens among different cut-offs of stromal TILs. Figure S7. TCGA - Antigen presenting cell signature (AGPS) and combined adjuvant platinum-containing chemotherapy cohort.

Supplementary Table from Epigenetic Therapies in Ovarian Cancer Alter Repetitive Element Expression in a TP53-Dependent Manner

(A) Clinico-pathological cohort data and molecular genetic features of the mapping bladder (Case ID4). (B) Clinico-pathological cohort data of the tissue microarray cohort of papillary high grade carcinomas and CIS.

(A) Unsupervised hierarchical clustering of tumor subtyping protein markers determined by semiquantitative immunohistochemistry (CK5, CK14, CD44, CK20, GATA3, FOXA1, UPKII) reveals a basal and luminal cluster. (B) HER2/neu protein expression (left panel) and ERBB2/CEN17-ratio in the WBHM samples. HER2/neu protein expression and its genetically detected ERBB2-gene locus amplification co-occur in CIS, pT1 carcinomas and MIBCs. (C) Distribution of "Normal-like", "Transforming-like" and "Invasive-like" cluster assignments in the WBHM scheme illustrates "Invasive-like" lesions surrounded by "Transforming-like" lesions. CIS = Carcinoma in situ; DYS = Dysplasia; UPUMP/HYP = urothelial proliferation of unknown malignant potential/ hyperplasia (abbreviated as "HYP" in graphs); IRS = Immunoreactive score; MIBC = Muscle-invasive bladder cancer; pT1 = Stroma invasive bladder cancer; U = Tumor associated urothelium.

Epithelial ovarian carcinomas are particularly deadly due to intratumoral heterogeneity, resistance to standard-of-care therapies, and poor response to alternative treatments such as immunotherapy. Targeting the ovarian carcinoma epigenome with DNA methyltransferase inhibitors (DNMTi) or histone deacetylase inhibitors (HDACi) increases immune signaling and recruits CD8+ T cells and natural killer cells to fight ovarian carcinoma in murine models. This increased immune activity is caused by increased transcription of repetitive elements (RE) that form double-stranded RNA (dsRNA) and trigger an IFN response. To understand which REs are affected by epigenetic therapies in ovarian carcinoma, we assessed the effect of DNMTi and HDACi on ovarian carcinoma cell lines and patient samples. Subfamily-level (TEtranscripts) and individual locus-level (Telescope) analysis of REs showed that DNMTi treatment upregulated more REs than HDACi treatment. Upregulated REs were predominantly LTR and SINE subfamilies, and SINEs exhibited the greatest loss of DNA methylation upon DNMTi treatment. Cell lines with TP53 mutations exhibited significantly fewer upregulated REs with epigenetic therapy than wild-type TP53 cell lines. This observation was validated using isogenic cell lines; the TP53-mutant cell line had significantly higher baseline expression of REs but upregulated fewer upon epigenetic treatment. In addition, p53 activation increased expression of REs in wild-type but not mutant cell lines. These data give a comprehensive, genome-wide picture of RE chromatin and transcription-related changes in ovarian carcinoma after epigenetic treatment and implicate p53 in RE transcriptional regulation.Significance:This study identifies the repetitive element targets of epigenetic therapies in ovarian carcinoma and indicates a role for p53 in this process.See interview with Katherine B. Chiappinelli, PhD, recipient of the 2022 Cancer Research Early Career Award: https://vimeo.com/720726570

Reference sequences, gene lists and gene expression distribution of utilized NanoString-assays.

(A)Overview of genes belonging to gene clusters (PanCancer Progression Panel). (B) Most differentially expressed signaling pathways and genes between lesion cluster A and C. (C) Most differentially expressed signaling pathways and genes between lesion cluster A and C.

Comparison of RNAseq and Nanostring-based subtyping in MIBCs from the CCC-EMN cohort with available RNAseq data. The 22 pairs of MIBC/CIS and the WBHM specimen were chosen from this pool of tumors. Subtyping is based on the 21 genes containing MDACC panel (Supplementary Table 2). RNAseq data were generated from FFPE tissues using QuantSeq kits (Lexogen) using 500 ng input RNA. The QuantSeq libraries were sequenced on an Illumina Hiseq platform and generated data were further processed according to the GRCh38, and further normalized. Inter-gene correlations range from 0.78-0.97 (Spearman rank correlations). Comparison of subtype assignment based on average linkage unsupervised hierarchical clustering shows a 100% overlap with no discordant classifications occurring, thus indicating that Nanostring is suitable for subtyping bladder cancer samples compared to RNAseq.

(A) Unsupervised hierarchical clustering reveals three lesion clusters (lesion cluster A-C) designated below the heat map. Histological classifications are shown above the heatmap and gene cluster families A*-D* are depicted on the left-sided cluster. Distribution of the lesion types in each cluster A-C are illustrated as pie diagrams below the heatmap. (B) Gene families from gene clusters C* and D* are mainly expressed in lesion clusters A/B in tumor associated urothelium, non-invasive urothelial lesions and CIS, while gene family A* is upregulated in CIS and pT1/MIBC samples. P-values were derived by nonparametric Kruskal-Wallis tests and are depicted above the graphs. P-values of single group comparisons derived by nonparametric Mann-Whitney tests are depicted in Suppl. Table 5. (C) Distribution of lesion cluster assignments (A-C) in the WBHM scheme. (D) Boxplots depicting differential expression of ERBB2, ERBB3, EGFR, STAT3 and CADM1 (STAT3-regulator) in luminal and basal tumors from the TCGA bladder cancer cohort. CIS = Carcinoma in situ; DYS = Dysplasia; UPUMP/HYP = urothelial proliferation of unknown malignant potential/ hyperplasia (abbreviated as "HYP" in graphs); MIBC = Muscle-invasive bladder cancer; pT1 = Stroma invasive bladder cancer; U = Tumor associated urothelium.

Supplementary Figure from Epigenetic Therapies in Ovarian Cancer Alter Repetitive Element Expression in a TP53-Dependent Manner

Supplementary Data from Epigenetic Therapies in Ovarian Cancer Alter Repetitive Element Expression in a TP53-Dependent Manner

Basal and luminal subtypes of invasive bladder tumors have significant prognostic and predictive impacts for patients. However, it remains unclear whether tumor subtype commitment occurs in noninvasive urothelial lesions or in carcinoma in situ (CIS) and which gene pathways are important for bladder tumor progression. To understand the timing of this commitment, we used gene expression and protein analysis to create a global overview of 36 separate tissues excised from a whole bladder encompassing urothelium, noninvasive urothelial lesions, CIS, and invasive carcinomas. Additionally investigated were matched CIS, noninvasive urothelial lesions, and muscle-invasive bladder cancers (MIBC) from 22 patients. The final stage of subtype commitment to either a luminal or basal MIBC occurred at the CIS transition. For all tissues combined, hierarchical clustering of subtype gene expression revealed three subtypes: “luminal,” “basal,” and a “luminal p53-/extracellular matrix (ECM)-like” phenotype of ECM-related genes enriched in tumor-associated urothelium, noninvasive urothelial lesions, and CIS, but rarely invasive, carcinomas. A separate cohort of normal urothelium from noncancer patients showed significantly lower expression of ECM-related genes compared with tumor-associated urothelium, noninvasive urothelial lesions, and CIS. A PanCancer Progression Panel of 681 genes unveiled pathways specific for the luminal p53-/ECM-like cluster, for example, ECM remodeling, angiogenesis, epithelial-to-mesenchymal transition, cellular discohesion, cell motility involved in tumor progression, and cell proliferation and oncogenic ERBB2/ERBB3 signaling for invasive carcinomas. In conclusion, this study provides insights into bladder cancer subtype commitment and associated signaling pathways, which could help predict therapy response and enhance our understanding of therapy resistance.Significance:This study demonstrates that CIS is the stage of commitment for determining MIBC tumor subtype, which is relevant for patient prognosis and therapy response.

Pairwise group P-values of analyses with multiple group comparisons tested by non-parametric Kruskal-Wallis tests.

Genes and proteins used for calculation of gene- and protein-expression scores (luminal-ness/basal-ness/ECM/EMT/signature scores).

AimsUpper tract urothelial carcinoma (UTUC) is a rare malignancy with a poor prognosis which occurs sporadically or in few cases results from a genetic disorder called Lynch syndrome. Recently, examination of microsatellite instability (MSI) has gained importance as a biomarker: MSI tumours are associated with a better response to immunomodulative therapies. Limited data are known about the prevalence of MSI in UTUC. New detection methods using the fully automated Idylla MSI Assay facilitate analysis of increased patient numbers.MethodsWe investigated the frequency of MSI in a multi-institutional cohort of 243 consecutively collected UTUC samples using standard methodology (Bethesda panel), along with immunohistochemistry of mismatch repair (MMR) proteins. The same tumour cohort was retested using the Idylla MSI Assay by Biocartis.ResultsUsing standard methodology, 230/243 tumours were detected as microsatellite stable (MSS), 4/243 tumours as MSI and 9/243 samples as invalid. In comparison, the Idylla MSI Assay identified four additional tumours as MSS, equalling 234/243 tumours; 4/243 were classified as MSI and only 5/243 cases as invalid. At the immunohistochemical level, MSI results were supported in all available cases with a loss in MMR proteins. The overall concordance between the standard and the Idylla MSI Assay was 98.35%. Time to result differed between 3 hours for Idylla MSI Assay and 2 days with the standard methodology.ConclusionOur data indicate a low incidence rate of MSI tumours in patients with UTUC. Furthermore, our findings highlight that Idylla MSI Assay can be applied as an alternative method of MSI analysis for UTUC.

Epithelial ovarian carcinomas are particularly deadly due to intratumoral heterogeneity, resistance to standard-of-care therapies, and poor response to alternative treatments such as immunotherapy. Targeting the ovarian carcinoma epigenome with DNA methyltransferase inhibitors (DNMTi) or histone deacetylase inhibitors (HDACi) increases immune signaling and recruits CD8+ T cells and natural killer cells to fight ovarian carcinoma in murine models. This increased immune activity is caused by increased transcription of repetitive elements (RE) that form double-stranded RNA (dsRNA) and trigger an IFN response. To understand which REs are affected by epigenetic therapies in ovarian carcinoma, we assessed the effect of DNMTi and HDACi on ovarian carcinoma cell lines and patient samples. Subfamily-level (TEtranscripts) and individual locus-level (Telescope) analysis of REs showed that DNMTi treatment upregulated more REs than HDACi treatment. Upregulated REs were predominantly LTR and SINE subfamilies, and SINEs exhibited the greatest loss of DNA methylation upon DNMTi treatment. Cell lines with TP53 mutations exhibited significantly fewer upregulated REs with epigenetic therapy than wild-type TP53 cell lines. This observation was validated using isogenic cell lines; the TP53-mutant cell line had significantly higher baseline expression of REs but upregulated fewer upon epigenetic treatment. In addition, p53 activation increased expression of REs in wild-type but not mutant cell lines. These data give a comprehensive, genome-wide picture of RE chromatin and transcription-related changes in ovarian carcinoma after epigenetic treatment and implicate p53 in RE transcriptional regulation. Significance: This study identifies the repetitive element targets of epigenetic therapies in ovarian carcinoma and indicates a role for p53 in this process. See interview with Katherine B. Chiappinelli, PhD, recipient of the 2022 Cancer Research Early Career Award: https://vimeo.com/720726570

Methylene blue (MB) is a dye used for histology with clinical importance and intercalates into nucleic acids. After MB staining of formalin fixed paraffin embedded (FFPE) muscle invasive bladder cancer (MIBC) and normal urothelium, specific regions could be microdissected. It is not known if MB influences RNA used for gene expression studies. Therefore, we analyzed MIBC using five different RNA isolation methods comparing patient matched FFPE and fresh frozen (FF) tissues pre-stained with or without MB. We demonstrate a positive impact of MB on RNA integrity with FF tissues using real time PCR with no interference of its chemical properties. FFPE tissues showed no improvement of RNA integrity, which we propose is due to formalin induced nucleotide crosslinks. Using direct multiplex RNA hybridization the best genes for normalization of MIBC and control tissues were identified from 34 reference genes. In addition, 5SrRNA and 5.8SrRNA were distinctive reference genes detecting

The value of programmed cell death ligand-1 (PD-L1) to predict durable responses to immune checkpoint inhibitors (ICIs) in metastatic urothelial carcinoma (mUC) is inconsistent. We hypothesize that the use of archived primary tumor material (PRIM) for PD-L1 testing in clinical trials not properly reflecting the metastatic disease status (MET) contributes to this clinical issue.To analyze the predictive and prognostic value of PD-L1, spatial immunephenotypes, and major histocompatibility complex class I (MHC-I) determined in patient-matched PRIM/MET.PD-L1, spatial immunephenotypes, and MHC-I were examined in 154 mUC patients with at least one available pretreatment MET (138 patient-matched PRIM/MET pairs).PD-L1, spatial immunephenotype, and MHC-I status of (patient-matched PRIM and) pretreatment MET were correlated with chemotherapy and ICI response and outcomes.Discordance rates in patient-matched PRIM/MET were 25/30%, 36%, and 49% for PD-L1 (CPS10/IC5%), immunephenotypes, and MHC-I (loss vs preserved), respectively. Correlations with chemotherapy and ICI responses were observed for immunephenotypes and MHC-I status determined in MET (not for PD-L1 alone), but not in PRIM. In case of ICIs, patients with cytotoxic tumor immune microenvironment (TIME) showed durable responses with disease control rates of 90% and a hazard ratio for disease progression/death of 0.05 (95% confidence interval: 0.01-0.65) versus patients with immunedepleted MET (disease control rate 29%). MET MHC-I status added an incremental value to predict durable ICI responses. Limitations include the partly retrospective design and the lack of MET multisampling on individual patient level.The TIME is subject to substantial dynamics during metastatic evolution. MET immunephenotypes and MHC-I statuses show promising potential to predict chemotherapy and durable ICI responses, while the PRIM TIME does not. Thus, future clinical trials should rather rely on pretreatment MET biopsies reflecting the current immunological disease state than on PRIM.Prediction of chemotherapy and responses to immune checkpoint inhibitors might be possible using representative pretreatment metastatic biopsies.

Background: Glioblastoma multiforme (GBM) and triple-negative breast cancer (TNBC) with PTEN mutations often lead to brain dissemination with very poor patient outcomes. GBM uses axons and vessels as migratory cues to disseminate, however it is not known, if TNBC shares the same behavior. There is a need to understand brain tumor cell spreading and if GBM and TNBC have similar migration properties involving the signaling pathway RHOB-ROCK-PTEN. We tested for durotaxis, adherence and migration of GBM and TNBC using live-cell imaging and performed molecular analyses on three-dimensional (3D) structures.Methods: Aligned 3D printed scaffolds and microfibers were designed to mimic brain axon tracts and vessels for migration. GBM and TNBC cell lines, each with opposing PTEN genotypes, were analysed with RHO, ROCK and PTEN inhibitors and rescuing PTEN function using live-cell imaging. RNA-sequencing and qPCR of tumor cells in 3D with microfibers were performed, while SEM, confocal microscopy and cell tracking addressed cell morphology. Results: GBM and TNBC with homozygote PTEN loss of function and RHOB high expression were amoeboid shaped and demonstrated enhanced durotaxis, adhesion and migration on 3D microfibers, in contrast to PTEN wildtype GBM and TNBC showing elongated cells and low RHOB. RNA-sequencing exhibited that RHOB was significantly the highest expressed gene in GBM PTEN loss of function cells. Pathway inhibitors and PTEN rescue of function verified an essential role of RHOB-ROCK-PTEN signaling for durotaxis, adhesion, migration, cell morphology and plasticity using 3D printed microfibers. Conclusions: This study validates a significant role of a PTEN genotype for cellular properties including durotaxis, adhesion and migration. GBM and TNBC cells with PTEN loss of function have a greater affinity for stiffer brain structures promoting metastasis. We propose the significance of PTEN and RHOB in cellular oncology not only for primary tumors, but also for metastasizing tumors, where RHOB inhibitors could play an essential role for improved therapy.

Simple Summary Glioblastoma multiforme (GBM) and metastatic triple-negative breast cancer (TNBC) with PTEN mutations are associated with brain tumor spreading and poor patient outcomes. GBM, and possibly TNBC, migrate on axons and blood vessels to disseminate in the brain; however, the mechanism is unresolved. There is a need for new therapeutic targets to blunt brain tumor spreading. Using 3D aligned printed microfibers mimicking brain structures proved that RHOB, in addition to ROCK and PTEN signaling, were essential for GBM and TNBC 3D cell migration. GBM and TNBC cell lines with PTEN loss of function and high RHOB expression exhibited amoeboid morphology with increased durotaxis, binding and migration speed on 3D microfibers, in contrast to the PTEN wildtype. Depending on the PTEN genotype, RHO-ROCK-PTEN inhibitors or PTEN rescue significantly regulated these properties. Regarding GBM and brain metastasizing TNBC, we conclude that RHOB inhibitors could play a novel role for improved therapy response and patient outcome. Abstract Background: Glioblastoma multiforme (GBM) and metastatic triple-negative breast cancer (TNBC) with PTEN mutations often lead to brain dissemination with poor patient outcome, thus new therapeutic targets are needed. To understand signaling, controlling the dynamics and mechanics of brain tumor cell migration, we implemented GBM and TNBC cell lines and designed 3D aligned microfibers and scaffolds mimicking brain structures. Methods: 3D microfibers and scaffolds were printed using melt electrowriting. GBM and TNBC cell lines with opposing PTEN genotypes were analyzed with RHO-ROCK-PTEN inhibitors and PTEN rescue using live-cell imaging. RNA-sequencing and qPCR of tumor cells in 3D with microfibers were performed, while scanning electron microscopy and confocal microscopy addressed cell morphology. Results: In contrast to the PTEN wildtype, GBM and TNBC cells with PTEN loss of function yielded enhanced durotaxis, topotaxis, adhesion, amoeboid migration on 3D microfibers and significant high RHOB expression. Functional studies concerning RHOB-ROCK-PTEN signaling confirmed the essential role for the above cellular processes. Conclusions: This study demonstrates a significant role of the PTEN genotype and RHOB expression for durotaxis, adhesion and migration dependent on 3D. GBM and TNBC cells with PTEN loss of function have an affinity for stiff brain structures promoting metastasis. 3D microfibers represent an important tool to model brain metastasizing tumor cells, where RHO-inhibitors could play an essential role for improved therapy.

Background: Immune therapy has gained significant importance in managing urothelial cancer. The value of PD-L1 remains a matter of controversy, thus requiring an in-depth analysis of its biological and clinical relevance. Methods: A total of 193 tumors of muscle-invasive bladder cancer patients (MIBC) were assessed with four PD-L1 assays. PD-L1 scoring results were correlated with data from a comprehensive digital-spatial immune-profiling panel using descriptive statistics, hierarchical clustering and uni-/multivariable survival analyses. Results: PD-L1 scoring algorithms are heterogeneous (agreements from 63.1% to 87.7%), and stems from different constellations of immune and tumor cells (IC/TC). While Ventana IC5% algorithm identifies tumors with high inflammation and favorable baseline prognosis, CPS10 and the TCarea25%/ICarea25% algorithm identify tumors with TC and IC expression. Spatially organized immune phenotypes, which correlate either with high PD-L1 IC expression and favorable prognosis or constitutive PD-L1 TC expression and poor baseline prognosis, cannot be resolved properly by PD-L1 algorithms. PD-L1 negative tumors with relevant immune infiltration can be detected by sTILs scoring on HE slides and digital CD8+ scoring. Conclusions: Contemporary PD-L1 scoring algorithms are not sufficient to resolve spatially distributed MIBC immune phenotypes and their clinical implications. A more comprehensive view of immune phenotypes along with the integration of spatial PD-L1 expression on IC and TC is necessary in order to stratify patients for ICI., publishedVersion

Epithelial ovarian carcinomas (OC) are particularly deadly due to intratumoral heterogeneity, resistance to standard-of-care therapies, and poor response to alternative treatments such as immunotherapy. Targeting the OC epigenome with DNA methyltransferase inhibitors (DNMTi) or histone deacetylase inhibitors (HDACi) increases immune signaling and recruits CD8+ T cells and NK cells to fight OC in murine models. This increased immune activity is caused by increased transcription of repetitive elements (RE) that form double-stranded RNA (dsRNA) and trigger an interferon response. To understand which REs are affected by epigenetic therapies in OC, we assessed the effect of DNMTi and HDACi on OC cell lines and patient samples. Subfamily-level (TEtranscripts) and individual locus-level (Telescope) analysis of REs showed that DNMTi treatment upregulated more REs than HDACi treatment. Upregulated REs were predominantly LTR and SINE subfamilies, and SINEs exhibited the greatest loss of DNA methylation upon DNMTi treatment. Cell lines with TP53 mutations exhibited significantly fewer upregulated REs with epigenetic therapy than wild type TP53 cell lines. This observation was validated using isogenic cell lines; the TP53 mutant cell line had significantly higher baseline expression of REs but upregulated fewer upon epigenetic treatment. In addition, p53 activation increased expression of REs in wild type but not mutant cell lines. These data give a comprehensive, genome-wide picture of RE chromatin and transcription-related changes in OC after epigenetic treatment and implicate p53 in RE transcriptional regulation.

Scientific progress and information relating to the theoretical and clinical work being carried out in the field of obstetrics and gynecology has dramatically increased due to recent developments in molecular biology. Molecular obstetrics and gynecology is therefore the link between the different sections in obstetrics and gynecology. At present, the molecular understanding of cellular pathways is much greater than that of the direct integration of molecular diagnostics and therapy in routine clinical practice. The use of molecular diagnostics, such as preimplantation diagnostics or predictive genetic testing, still has technical problems as well as novel, and to date unclear, social, ethical and legal implications. To date, the technical elements of molecular therapy have not yet fulfilled their expectations. In the broad spectrum of obstetrics and gynecology, new molecular discoveries are influenced not only by technical but also by socioeconomic and political considerations. These include, for example, free access to genetic testing, patents for genes and the financial monopoly over molecular medication. Society must propose rules for the potential integration of the knowledge of molecular obstetrics and gynecology into the daily care of those seeking aid or advice.

Basal and luminal subtypes of invasive bladder tumors have significant prognostic and predictive impacts for patients. However, it remains unclear whether tumor subtype commitment occurs in noninvasive urothelial lesions or in carcinoma

We describe a method for quantifying the contractile forces that tumor spheroids collectively exert on highly nonlinear three-dimensional collagen networks. While three-dimensional traction force microscopy for single cells in a nonlinear matrix is computationally complex due to the variable cell shape, here we exploit the spherical symmetry of tumor spheroids to derive a scale-invariant relationship between spheroid contractility and the surrounding matrix deformations. This relationship allows us to directly translate the magnitude of matrix deformations to the total contractility of arbitrarily sized spheroids. We show that our method is accurate up to strains of 50% and remains valid even for irregularly shaped tissue samples when considering only the deformations in the far field. Finally, we demonstrate that collective forces of tumor spheroids reflect the contractility of individual cells for up to 1 hr after seeding, while collective forces on longer timescales are guided by mechanical feedback from the extracellular matrix.

BackgroundAssessment of the immune status of muscle-invasive bladder cancer (MIBC) has previously shown to be prognostically relevant after treatment with curative intent. We conducted this study to develop a clinically applicable immune gene expression assay to predict prognosis and adjuvant chemotherapy benefit.Patients and methodsGene expression ofCD3Z,CD8AandCXCL9, immune cell (IC) populations including stromal tumor infiltrating lymphocytes (sTILs), T-cells, natural killer cells (NK-cells), macrophages, Programmed cell death protein 1 positive (PD-1) IC and tumor subtypes (MD Anderson Cancer Center/MDACC-approach) were assessed in 187 MIBC patients (Comprehensive Cancer Center Erlangen-EMN/CCC-EMN-cohort). A gene expression signature was derived by hierarchical-clustering and validated in The Cancer Genome Atlas (TCGA)-cohort. IC populations in the TCGA cohort were assessed via CIBERSORT. Benefit of platinum-containing adjuvant chemotherapy was assessed in a pooled cohort of 125 patients. Outcome measurements were disease specific survival, disease-free survival and overall survival.ResultsThe gene expression signature ofCXCL9,CD3ZandCD8Acorrelates with quantitative amounts of specific IC populations and sTILs (CCC-EMN: ρ-range: 0.44–0.74; TCGA: ρ-range: 0.56–0.82) and allows stratification of three different inflammation levels (inflamed high, inflamed low, uninflamed). Highly inflamed tumors are preferentially basal subtype and show favorable 5-year survival rates of 67.3% (HR=0.27; CCC-EMN) and 55% (HR=0.41; TCGA). Uninflamed tumors are predominantly luminal subtypes and show low 5-year survival rates of 28% (CCC-EMN) and 36% (TCGA). Inflamed tumors exhibit higher levels of PD-1 and Programmed cell death 1 ligand 1 (PD-L1). Patients undergoing adjuvant platinum-based chemotherapy with ‘inflamed high’ tumors showed a favorable 5-year survival rate of 64% (HR=0.27; merged CCC-EMN and TCGA cohort).ConclusionThe gene expression signature ofCD3Z,CD8AandCXCL9can assess the immune status of MIBC and stratify the survival of MIBC patients undergoing surgery and adjuvant platinum-based chemotherapy. Furthermore, the assay can identify patients with immunological hot tumors with particular high expression of PD-L1 potentially suitable for immunotherapy.

We describe a method for quantifying the contractile forces that tumor spheroids collectively exert on highly nonlinear three-dimensional collagen networks. While three-dimensional traction force microscopy for single cells in a nonlinear matrix is computationally complex due to the variable cell shape, here we exploit the spherical symmetry of tumor spheroids to derive a scale-invariant relationship between spheroid contractility and the surrounding matrix deformations. This relationship allows us to directly translate the magnitude of matrix deformations to the total contractility of arbitrarily sized spheroids. We show that our method is accurate up to strains of 50% and remains valid even for irregularly shaped tissue samples when considering only the deformations in the far field. Finally, we demonstrate that collective forces of tumor spheroids reflect the contractility of individual cells for up to 1 hr after seeding, while collective forces on longer timescales are guided by mechanical feedback from the extracellular matrix.

The development of in vitro assays for 3D microenvironments is essential for understanding cell migration processes. A 3D-printed in vitro competitive radial device is developed to identify preferred Matrigel concentration for glioblastoma migration. Melt electrowriting (MEW) is used to fabricate the structural device with defined and intricate radial structures that are filled with Matrigel. Controlling the printing path is necessary to account for the distance lag in the molten jet, the applied electric field, and the continuous direct-writing nature of MEW. Circular printing below a diameter threshold results in substantial inward tilting of the MEW fiber wall. An eight-chamber radial device with a diameter of 9.4 mm is printed. Four different concentrations of Matrigel are dispensed into the radial chambers. Glioblastoma cells are seeded into the center and grow into all chambers within 8 days. The cell spreading area demonstrates that 6 and 8 mg mL-1 of Matrigel are preferred over 2 and 4 mg mL-1 . Furthermore, topographical cues via the MEW fiber wall are observed to promote migration even further away from the cell seeding depot. Previous studies implement MEW to fabricate cell invasive scaffolds whereas here it is applied to 3D-print in vitro tools to study cell migration.

Patients with the Mayer–Rokitansky–Küster–Hauser syndrome (MRKH) have a congenital utero–vaginal cervical aplasia, but normal or hypoplastic adnexa and develop with normal female phenotype. Some reports mostly demonstrated regular steroid hormone levels in small MRKH cohorts including single MRKH patients with hyperandrogenemia and a clinical presentationof hirsutism and acne has also been shown. Genetically a correlation ofWNT4mutations with singular MRKH patients and hyperandrogenemia was noted. This study analyzed the hormone status of 215 MRKH patients by determining the levels of luteinizing hormone (LH), follicle-stimulating hormone (FSH), estradiol, 17-OH progesterone, testosterone, dehydroepiandrosterone sulfate (DHEAS), sex hormone–binding globulin (SHBG) and prolactin to determine the incidence of hyperandrogenemia and hyperprolactinemia in MRKH patients. Additional calculations and a ratio of free androgen index and biologically active testosterone revealed a hyperandrogenemia rate of 48.3%, hyperprolactinemia of 9.8% and combined hyperandrogenemia and hyperprolactinemia of 4.2% in MRKH patients. The rates of hirsutism, acne and especially polycystic ovary syndrome (PCOS) were in the normal range of the population and showed no correlation with hyperandrogenemia. A weekly hormone assessment over 30 days comparing 5 controls and 7 MRKH patients revealed high androgen and prolactin, but lower LH/FSH and SHBG levels with MRKH patients. The sequencing ofWNT4,WNT5A,WNT7AandWNT9Bdemonstrated no significant mutations correlating with hyperandrogenemia. Taken together, this study shows that over 52% of MRKH patients have hyperandrogenemia without clinical presentation and 14% hyperprolactinemia, which appeals for general hormone assessment and adjustments of MRKH patients.

Zusammenfassung Hintergrund Brustkrebs gilt als die weltweit häufigste Krebserkrankung bei Frauen. Zunehmend wird autologer Lipotransfer zum Wiederaufbau der Brust nach Tumorresektion angewandt. Im zellunterstützenden Lipotransfer wird das Transplantat mit Stammzellen aus dem Fettgewebe (ADSC) angereichert. Trotz der positiven klinischen Ergebnisse gibt es aufgrund des Stammzellanteils Bedenken hinsichtlich der onkologischen Sicherheit. Bislang gibt es nur wenige Studien mit primären Zellen aus derselben Patientin, durch die es möglich werden könnte die Komplexität der Zell-Zell-Interaktionen im Mamma(karzinom)gewebe besser in experimentellen Settings darzustellen. Material und Methoden Es wurde eine Literaturrecherche zum Thema autologer Lipotransfer durchgeführt. Aus Mamma(karzinom)gewebe, bzw. Blut wurden 5 unterschiedliche Zelltypen (epitheliale, mesenchymale Zellen, ADSC, Endothelzellen, endotheliale Progenitorzellen) isoliert und nachfolgend hinsichtlich ihrer Gen- und Proteinexpression sowie funktioneller Eigenschaften charakterisiert. Das arteriovenöse (AV) loop Modell in der Ratte wurde als mögliches in vivo Modell für die Mammakarzinompathogenese und -angiogenese im Rahmen dieser Studie evaluiert. Ergebnisse In der Literatur konnten Hinweise auf eine in vitro Interaktion zwischen ADSC und Zellen des Mamma(karzinom)gewebes gefunden werden. In einigen klinischen Studien erschienen bestimmte Patientensubgruppen einem erhöhten Tumorrezidivrisiko nach Lipotransfer ausgesetzt zu sein, jedoch konnte in der Mehrzahl der Studien kein Zusammenhang zwischen Lipotransfer und Rezidivrate festgestellt werden. Aus Gewebe derselben Patientin konnten unterschiedliche Zellpopulationen isoliert werden, die sich hinsichtlich ihrer Oberflächenmarker, der Genexpression sowie funktioneller Eigenschaften deutlich voneinander differenzieren lassen. Im AV loop Modell konnte erfolgreich axial vaskularisiertes Gewebe gezüchtet werden. Schlussfolgerung Anhand dieser Studie können wir erstmalig zeigen, dass aus derselben Gewebeprobe unterschiedliche Zellpopulationen isoliert werden können, die die Heterogenität im Tumorgewebe widerspiegeln. Dadurch werden exakte Analysen der Zell-Zell-Interaktionen und ihre Auswirkungen auf die Tumorangiogenese und -pathogenese im Mammakarzinom möglich. In Kombination mit dem AV loop Modell könnten neue Wege eröffnet werden vaskularisiertes Mammakarzinom- sowie gesundes Mammagewebe in vivo als optimales Modell für das klinische Setting zu generieren.

Gene expression and/or epigenetic deregulation may have consequences for sperm and blastocysts, as well as for the placenta, together potentially contributing to problems observed in offspring. We previously demonstrated specific perturbations of fertilization, blastocyst formation, implantation, as well as aberrant glucose metabolism and adiposity in offspring using a mouse model of paternal obesity. The current investigation analyzed gene expression and methylation of specific CpG residues in F1 placentas of pregnancies fathered by obese and normal-weight male mice, using real-time PCR and bisulfite pyrosequencing. Our aim was to determine if paternal obesity deregulated placental gene expression and DNA methylation when compared to normal-weight males. Gene methylation of sperm DNA was analyzed and compared to placentas to address epigenetic transmission. Of the 10 paternally expressed genes (Pegs), 11 genes important for development and transport of nutrients, and the long-terminal repeat Intracisternal A particle (IAP) elements, derived from a member of the class II endogenous retroviral gene family, we observed a significant effect of paternal diet-induced obesity on deregulated expression of Peg3, Peg9, Peg10, and the nutrient transporter gene Slc38a2, and aberrant DNA methylation of the Peg9 promoter in F1 placental tissue. Epigenetic changes in Peg9 were also found in sperm from obese fathers. We therefore propose that paternal obesity renders changes in gene expression and/or methylation throughout the placental genome, which could contribute to the reproductive problems related to fertility and to the metabolic, long-term health impact on offspring.

Basal and luminal subtypes of invasive bladder tumors have significant prognostic and predictive impacts for patients. However, it remains unclear whether tumor subtype commitment occurs in noninvasive urothelial lesions or in carcinoma in situ (CIS) and which gene pathways are important for bladder tumor progression. To understand the timing of this commitment, we used gene expression and protein analysis to create a global overview of 36 separate tissues excised from a whole bladder encompassing urothelium, noninvasive urothelial lesions, CIS, and invasive carcinomas. Additionally investigated were matched CIS, noninvasive urothelial lesions, and muscle-invasive bladder cancers (MIBC) from 22 patients. The final stage of subtype commitment to either a luminal or basal MIBC occurred at the CIS transition. For all tissues combined, hierarchical clustering of subtype gene expression revealed three subtypes: “luminal,” “basal,” and a “luminal p53-/extracellular matrix (ECM)-like” phenotype of ECM-related genes enriched in tumor-associated urothelium, noninvasive urothelial lesions, and CIS, but rarely invasive, carcinomas. A separate cohort of normal urothelium from noncancer patients showed significantly lower expression of ECM-related genes compared with tumor-associated urothelium, noninvasive urothelial lesions, and CIS. A PanCancer Progression Panel of 681 genes unveiled pathways specific for the luminal p53-/ECM-like cluster, for example, ECM remodeling, angiogenesis, epithelial-to-mesenchymal transition, cellular discohesion, cell motility involved in tumor progression, and cell proliferation and oncogenic ERBB2/ERBB3 signaling for invasive carcinomas. In conclusion, this study provides insights into bladder cancer subtype commitment and associated signaling pathways, which could help predict therapy response and enhance our understanding of therapy resistance. Significance: This study demonstrates that CIS is the stage of commitment for determining MIBC tumor subtype, which is relevant for patient prognosis and therapy response.

Background and Objective: Muscle-invasive bladder cancer (MIBC) is a complex disease for which perioperative chemotherapy followed by radical cystectomy is a standard treatment. In recent years new therapy options for advanced urothelial tumors have emerged, representing a personalized medicine approach for patients. For example, targeting fibroblast growth factor receptors (FGFR) as well as restoring antitumor activity using PD-1/PD-L1 inhibitors are currently being evaluated in clinical trials and show promising results. Our present goal in this study was to assess the relationship of FGFR3-gene alterations, immune cell types, gene expression of checkpoint inhibitors like PD-L1/PD-1, and immune-related genes in MIBC to gain insight into significant differential expression. Materials and Methods: We analyzed the TCGA cohort (n=407). Tumors were identified with activating FGFR3-gene alterations (FGFR3-altered: mutation, amplification, fusion, gain). A comparison was performed between tumors with FGFR3-altered or wild-type tumors and tumor mutational burden (TMB), neoantigen load, immune checkpoint, and immune-related gene expression as well as specific immune cell populations using the CIBERSORT-algorithm. Results: Activating FGFR3-altered tumors showed significantly less TMB and neoantigen load compared to wild-type cases (p=0.037 and p=0.04). Tumors with high expression of PD-1, PD-L1, CTLA4, and IDO1 were predominately not FGFR3-altered (p Conclusion: Strikingly, our analysis demonstrates that activating FGFR3 gene alterations in MIBC show low immune checkpoint and immune-related gene expression as well as low amounts of immune cells, demonstrating association with an uninflamed tumor microenvironment. Therefore, combination therapies targeting FGFR3 and, e.g., PD-1/PD-L1 might not be effective. It will be essential to validate these results in another MIBC cohort as well as unravel the role of aberrant signaling of FGFR3. Citation Format: Veronika Weyerer, Robert Stoehr, Pamela Strissel, Reiner Strick, Christian Bolenz, Arndt Hartmann, Philipp Erben, Markus Eckstein. Uninflamed immunologic microenvironment of muscle-invasive bladder cancer associates with activating FGFR3 gene alterations [abstract]. In: Proceedings of the AACR Special Conference on Bladder Cancer: Transforming the Field; 2019 May 18-21; Denver, CO. Philadelphia (PA): AACR; Clin Cancer Res 2020;26(15_Suppl):Abstract nr A15.

Background: Muscle-invasive bladder cancer (MIBC) represents approximately two thirds of invasive urothelial bladder cancers (UBC) and has high morbidity and mortality. Despite intensive efforts to improve patient treatment and outcome, two thirds of patients with UBC will have a recurrence or disease progression within 5 years. We conducted this study to gain further insights in the immunologic tumor microenvironment (TIME). Material and Methods: Stromal tumor-infiltrating lymphocytes (sTILs) were scored continuously on HE slides in a cohort of 135 patients with MIBC treated by radical cystectomy (adjuvant chemotherapy n= 34) according to current recommendations (Salgado et al., 2015). In parallel, we assessed intrinsic subtypes by 21-gene Nanostring signature adapted from the MDACC-subtyping approach. Tertiary lymph structures were assessed by whole slide immunohistochemistry of CD3, CD8, CD68, and CD79a. Spatial immune profiling was carried out on regionally (tumor center, invasive margin) designed TMAs by CD3, CD8, CD56 (NK-cells), CD68, PD-1, and PD-L1 and revealed spatial organized immune phenotypes. Results were validated in 407 MIBC of the TCGA cohort by hierarchical clustering analysis, immune cell population analysis via CIBERSORT, and sTIL-scoring on digitalized HE-slides. Furthermore, tumor mutational burden, neoantigen load, and mutational patterns as well as mutational signatures were correlated with immune phenotypes in the TCGA cohort. Results: We demonstrate that quantity and spatial distribution of sTILs within the tumor immune microenvironment (TIME) predict stages of tumor inflammation, subtypes, and patient survival and correlate with expression of immune checkpoints in an analysis of 542 MIBC. High sTILs indicate an inflamed subtype with 80% 5-year disease-specific survival. A lack of immune infiltrates identifies an uninflamed subtype with a survival rate of less than 25%. A separate immune-evading phenotype with upregulated immune checkpoints was associated with poor survival. Within the TIME are tertiary lymph node structures (TLS), which can mediate antitumor activity via active immune cells. High TLS amounts and close tumor distance correlated significantly with an inflamed phenotype and favorable survival. The uninflamed and evasion phenotypes showed lowest TLS numbers and farthest tumor distances and shortest survival. High inflammation also correlated with increased neoantigen load, high TMB, and specific mutational patterns (TCGA-MSig1, TCGA-MSig3/4). Patients treated with adjuvant chemotherapy showed a favorable prognosis dependent on high sTILs. Conclusion: Determination of sTILs and tumor subtypes may stratify therapy success and patient survival. Considering sTILs can easily be quantified using simple morphologic parameters such as hematoxylin-eosin, sTILs can be implemented for predicting patient survival and outcome after adjuvant platinum-containing chemotherapy in a routine manner. This abstract is also being presented as Poster A03. Citation Format: Markus Eckstein, Carolin Pfannstiel, Katherine B. Chiappinelli, Danijel Sikic, Sven Wach, Ralph M. Wirtz, Adrian Wullweber, Helge Taubert, Johannes Breyer, Wolfgang Otto, Thomas Worst, Maximilian Burger, Bernd Wullich, Christian Bolenz, Nicole Fuhrich, Carol Geppert, Veronika Weyerer, Robert Stoehr, Simone Bertz, Bastian Keck, Franziska Erlmeier, Philipp Erben, Arndt Hartmann, Pamela Strissel, Reiner Strick. Tumor immune microenvironment drives prognostic relevance correlating with bladder cancer subtypes [abstract]. In: Proceedings of the AACR Special Conference on Bladder Cancer: Transforming the Field; 2019 May 18-21; Denver, CO. Philadelphia (PA): AACR; Clin Cancer Res 2020;26(15_Suppl):Abstract nr PR04.

Muscle-invasive bladder cancer (MIBC) represents approximately two-thirds of invasive urothelial bladder cancers (UBC) and has high morbidity and mortality. Men are over 3-fold more frequently affected by UBC than women. Despite intensive efforts to improve patient treatment and outcome, two-thirds of patients with UBC will have a recurrence or disease progression within 5 years. We demonstrated that the quantity and spatial distribution of stromal tumor-infiltrating lymphocytes (sTIL) within the tumor immune microenvironment (TIME) predict stages of tumor inflammation, subtypes, and patient survival and correlate with expression of immune checkpoints in an analysis of 542 patients with MIBC. High sTILs indicated an inflamed subtype with an 80% 5-year DSS, and a lack of immune infiltrates identified an uninflamed subtype with a survival rate of less than 25%. A separate immune evading phenotype with upregulated immune checkpoints associated with poor survival. Within the TIME are tertiary lymphoid structures (TLS), which can mediate antitumor activity via immune cells. High TLS amounts and close tumor distance correlated significantly with an inflamed phenotype and favorable survival. The uninflamed and evasion phenotypes showed lowest TLS numbers, farthest tumor distances, and shortest survival. High inflammation also correlated with increased neoantigen load and mutational burden. Patients treated with adjuvant chemotherapy showed a favorable prognosis, which was dependent on high sTILs. Determination of sTILs and tumor subtypes may stratify therapy success and patient survival, and considering sTILs can easily be quantified using simple morphologic parameters, like hematoxylin and eosin, sTILs can be implemented for predicting patient survival in a routine manner.