Bastian Schilling
A5008750058- Cancer Immunotherapy and Biomarkers
- Immunotherapy and Immune Responses
- Cutaneous Melanoma Detection and Management
- CAR-T cell therapy research
- Melanoma and MAPK Pathways
- Ocular Oncology and Treatments
- Immune Cell Function and Interaction
- AI in cancer detection
- Immune cells in cancer
- Cancer Genomics and Diagnostics
- Nonmelanoma Skin Cancer Studies
- T-cell and B-cell Immunology
- Computational Drug Discovery Methods
- vaccines and immunoinformatics approaches
- Colorectal Cancer Treatments and Studies
- Biosimilars and Bioanalytical Methods
- Cell Image Analysis Techniques
- Polyomavirus and related diseases
- Chromatin Remodeling and Cancer
- Monoclonal and Polyclonal Antibodies Research
- Lymphoma Diagnosis and Treatment
- Brain Metastases and Treatment
- melanin and skin pigmentation
- Full-Duplex Wireless Communications
- Cutaneous lymphoproliferative disorders research
Universitätsklinikum Würzburg
2017-2025
Goethe University Frankfurt
2024-2025
University Hospital Frankfurt
2024-2025
National Center for Tumor Diseases
2023-2024
Buck Institute for Research on Aging
2023-2024
Essen University Hospital
2010-2024
Deutschen Konsortium für Translationale Krebsforschung
2014-2023
German Cancer Research Center
2013-2023
Statistisches Bundesamt
2023
University of Würzburg
2019-2022
The cellular ancestry of tumor antigens One contributing factor in antitumor immunity is the repertoire neoantigens created by genetic mutations within cells. Like corresponding mutations, these show intratumoral heterogeneity. Some are present all cells (clonal), and others only a fraction (subclonal). In study lung cancer melanoma, McGranahan et al. found that high burden clonal correlated with improved patient survival, an increased presence tumor-infiltrating lymphocytes, durable...
Monoclonal antibodies directed against cytotoxic T lymphocyte-associated antigen-4 (CTLA-4), such as ipilimumab, yield considerable clinical benefit for patients with metastatic melanoma by inhibiting immune checkpoint activity, but predictors of response to these therapies remain incompletely characterized. To investigate the roles tumor-specific neoantigens and alterations in tumor microenvironment we analyzed whole exomes from pretreatment biopsies matching germline tissue samples 110...
Abstract Immune-checkpoint blockade (ICB) has demonstrated efficacy in many tumor types, but predictors of responsiveness to anti-PD1 ICB are incompletely characterized. In this study, we analyzed a clinically annotated cohort patients with melanoma ( n = 144) treated ICB, whole-exome and whole-transcriptome sequencing pre-treatment tumors. We found that mutational burden as predictor response was confounded by subtype, whereas multiple novel genomic transcriptomic features predicted...
Biomarkers for outcome after immune-checkpoint blockade are strongly needed as these may influence individual treatment selection or sequence. We aimed to identify baseline factors associated with overall survival (OS) pembrolizumab in melanoma patients.Serum lactate dehydrogenase (LDH), routine blood count parameters, and clinical characteristics were investigated 616 patients. Endpoints OS best response following treatment. Kaplan-Meier analysis Cox regression applied analysis.Relative...
To identify baseline peripheral blood biomarkers associated with clinical outcome following ipilimumab treatment in advanced melanoma patients.Frequencies of myeloid-derived suppressor cells (MDSC) and regulatory T (Treg), serum lactate dehydrogenase (LDH), routine counts, characteristics were assessed 209 patients. Endpoints overall survival (OS) best response. Statistical calculations done by Kaplan-Meier Cox regression analysis, including calibration discrimination C-statistics.Low LDH,...
Recent studies have successfully demonstrated the use of deep-learning algorithms for dermatologist-level classification suspicious lesions by excessive proprietary image databases and limited numbers dermatologists. For first time, performance a algorithm trained open-source images exclusively is compared to large number dermatologists covering all levels within clinical hierarchy.We used methods from enhanced deep learning train convolutional neural network (CNN) with 12,378 dermoscopic...
The importance of tumor associated neutrophils (TANs) in cancer development is the meantime well established. Numerous clinical data document adverse prognostic effects neutrophil infiltration solid tumors. However, certain therapies need functional to be effective, suggesting altered polarization with different outcomes for patients. Therefore, modulation neutrophilic phenotypes represents a potent therapeutic option, but factors mediating are still poorly defined. In this manuscript we...
BackgroundMelanoma is the most dangerous type of skin cancer but curable if detected early. Recent publications demonstrated that artificial intelligence capable in classifying images benign nevi and melanoma with dermatologist-level precision. However, a statistically significant improvement compared dermatologist classification has not been reported to date.MethodsFor this comparative study, 4204 biopsy-proven (1:1) were used for training convolutional neural network (CNN). New techniques...
BackgroundIn recent studies, convolutional neural networks (CNNs) outperformed dermatologists in distinguishing dermoscopic images of melanoma and nevi. In these artificial intelligence were considered as opponents. However, the combination classifiers frequently yields superior results, both machine learning among humans. this study, we investigated potential benefit combining human for skin cancer classification.MethodsUsing 11,444 images, which divided into five diagnostic categories,...
Abstract Purpose: We have shown that the aged microenvironment increases melanoma metastasis, and decreases response to targeted therapy, here we queried anti-PD1. Experimental Design: analyzed relationship between age, anti-PD1, prior therapy in 538 patients. used mouse models of melanoma, analyze intratumoral immune young versus mice confirmed our findings human biopsies. Results: Patients over age 60 responded more efficiently anti-PD-1, likelihood anti-PD-1 increased with even when...
To analyze the prognostic relevance and relative impact of circulating myeloid-derived suppressor cells (MDSC) regulatory T (Treg) compared with functional tumor antigen-specific in patients melanoma distant metastasis.The percentage CD14(+)CD11b(+)HLA-DR(-/low) MDSCs, CD4(+)CD25(+)FoxP3(+) Tregs, presence NY-ESO-1- or Melan-A-specific was analyzed 94 validated an additional cohort 39 by flow cytometry. Univariate survival differences were calculated according to Kaplan-Meier log-rank tests....
Recently, TERT promoter mutations were identified at high frequencies in cutaneous melanoma tumor samples and cell lines. The found to have a UV-signature lead increased gene expression. We analyzed large cohort of patients for the presence distribution their association with clinico-pathological characteristics.410 by Sanger sequencing mutations. An analysis associations between mutation status various clinical pathologic variables was performed.TERT 154 (43%) 362 successfully sequenced...
Purpose Up to 50% of patients with uveal melanoma (UM) develop metastatic disease limited treatment options. The immunomodulating agent ipilimumab has shown an overall survival (OS) benefit in cutaneous two phase III trials. As UM were excluded these studies, the Dermatologic Cooperative Oncology Group (DeCOG) conducted a II assess efficacy and safety UM. Patients Methods We undertook multicenter study different subtypes melanoma. Here we present data on (pretreated treatment-naïve) who...
Abstract Melanoma treatment has been revolutionized by antibody-based immunotherapies. IFNγ secretion CD8 + T cells is critical for therapy efficacy having anti-proliferative and pro-apoptotic effects on tumour cells. Our study demonstrates a genetic evolution of resistance in different melanoma patient models. Chromosomal alterations subsequent inactivating mutations genes the signalling cascade, most often JAK1 or JAK2, protect from anti-tumour activity. JAK1/2 mutants further evolve into...
Conjunctival melanoma is a rare but potentially deadly tumor of the eye. Despite effective local therapies, recurrence and metastasis remain frequent. Once has metastasized, treatment options are limited prognosis poor. To date, little known genetic alterations in conjunctival melanomas.We conducted analysis 78 melanomas, to our knowledge largest cohort reported date. An oncogene hotspot array was run on 38 samples, screening for panel cancer-relevant mutations. Thirty tumors were analyzed...
BackgroundMultiple studies have compared the performance of artificial intelligence (AI)–based models for automated skin cancer classification to human experts, thus setting cornerstone a successful translation AI-based tools into clinicopathological practice.ObjectiveThe objective study was systematically analyse current state research on reader involving melanoma and assess their potential clinical relevance by evaluating three main aspects: test set characteristics...
BackgroundRecently, convolutional neural networks (CNNs) systematically outperformed dermatologists in distinguishing dermoscopic melanoma and nevi images. However, such a binary classification does not reflect the clinical reality of skin cancer screenings which multiple diagnoses need to be taken into account.MethodsUsing 11,444 images, covered dermatologic comprising majority commonly pigmented lesions faced screenings, CNN was trained through novel deep learning techniques. A test set...