Timo Gaiser
YOU?
Author Swipe
View article: Predicting benefit from PARP inhibitors using deep learning on H&E-stained ovarian cancer slides
Predicting benefit from PARP inhibitors using deep learning on H&E-stained ovarian cancer slides Open
Together, our results indicate that it might be possible to generate a predictor of benefit from PARP inhibitors based on the DL-mediated analysis of WSIs. However, further studies with larger cohorts and further methodological improvement…
View article: PARP-1 selectively impairs <i>KRAS</i> -driven phenotypic and molecular features in intrahepatic cholangiocarcinoma
PARP-1 selectively impairs <i>KRAS</i> -driven phenotypic and molecular features in intrahepatic cholangiocarcinoma Open
Objective Intrahepatic cholangiocarcinoma (iCCA) is the second most common primary liver cancer with limited therapeutic options. KRAS mutations are among the most abundant genetic alterations in iCCA associated with poor clinical outcome …
View article: Unraveling a Histopathological Needle-in-Haystack Problem: Exploring the Challenges of Detecting Tumor Budding in Colorectal Carcinoma Histology
Unraveling a Histopathological Needle-in-Haystack Problem: Exploring the Challenges of Detecting Tumor Budding in Colorectal Carcinoma Histology Open
Background: In this study focusing on colorectal carcinoma (CRC), we address the imperative task of predicting post-surgery treatment needs by identifying crucial tumor features within whole slide images of solid tumors, analogous to locat…
View article: Supplementary Material for: Cyclin A2 expression as predictive biomarker in muscle-invasive upper tract urothelial carcinoma
Supplementary Material for: Cyclin A2 expression as predictive biomarker in muscle-invasive upper tract urothelial carcinoma Open
Introduction: The aim was to evaluate the prognostic value of altered Cyclin A2 (CCNA2) gene expression in upper tract urothelial carcinoma (UTUC) and to assess its predictive potential as prognostic factor for overall survival (OS) and di…
View article: Supplementary Material for: Cyclin A2 expression as predictive biomarker in muscle-invasive upper tract urothelial carcinoma
Supplementary Material for: Cyclin A2 expression as predictive biomarker in muscle-invasive upper tract urothelial carcinoma Open
Introduction: The aim was to evaluate the prognostic value of altered Cyclin A2 (CCNA2) gene expression in upper tract urothelial carcinoma (UTUC) and to assess its predictive potential as prognostic factor for overall survival (OS) and di…
View article: Supplementary Material for: Cyclin A2 expression as predictive biomarker in muscle-invasive upper tract urothelial carcinoma
Supplementary Material for: Cyclin A2 expression as predictive biomarker in muscle-invasive upper tract urothelial carcinoma Open
Introduction: The aim was to evaluate the prognostic value of altered Cyclin A2 (CCNA2) gene expression in upper tract urothelial carcinoma (UTUC) and to assess its predictive potential as prognostic factor for overall survival (OS) and di…
View article: Deep learning to predict breast cancer sentinel lymph node status on INSEMA histological images
Deep learning to predict breast cancer sentinel lymph node status on INSEMA histological images Open
Employing DL-based image analysis on histological slides, we could not predict SLN status for unseen cases in the INSEMA trial and other predominantly luminal cohorts.
View article: Analysis of Cell-Free DNA to Predict Outcome to Bevacizumab Combination Therapy in Metastatic Colorectal Cancer Patients
Analysis of Cell-Free DNA to Predict Outcome to Bevacizumab Combination Therapy in Metastatic Colorectal Cancer Patients Open
To predict outcome to combination bevacizumab (BVZ) therapy, we employed cell-free DNA (cfDNA) to determine chromosomal instability (CIN), nucleosome footprints (NF) and methylation profiles in metastatic colorectal cancer (mCRC) patients.…
View article: Colorectal cancer risk stratification on histological slides based on survival curves predicted by deep learning
Colorectal cancer risk stratification on histological slides based on survival curves predicted by deep learning Open
Studies have shown that colorectal cancer prognosis can be predicted by deep learning-based analysis of histological tissue sections of the primary tumor. So far, this has been achieved using a binary prediction. Survival curves might cont…
View article: A self-supervised vision transformer to predict survival from histopathology in renal cell carcinoma
A self-supervised vision transformer to predict survival from histopathology in renal cell carcinoma Open
Purpose To develop and validate an interpretable deep learning model to predict overall and disease-specific survival (OS/DSS) in clear cell renal cell carcinoma (ccRCC). Methods Digitised haematoxylin and eosin-stained slides from The Can…
View article: Abstract 5584: Analysis of cell free DNA to predict outcome to Bevacizumab combination therapy in metastatic colorectal cancer patients
Abstract 5584: Analysis of cell free DNA to predict outcome to Bevacizumab combination therapy in metastatic colorectal cancer patients Open
Purpose: Cell-free DNA (cfDNA) analysis in plasma is an emerging technique with numerous applications in oncology. We employed cfDNA to determine chromosomal instability (CIN), nucleosome footprints (NF) and methylation profiles in metasta…
View article: Supplementary Figures from Dynamics of Genome Alterations in Crohn's Disease–Associated Colorectal Carcinogenesis
Supplementary Figures from Dynamics of Genome Alterations in Crohn's Disease–Associated Colorectal Carcinogenesis Open
Supplementary Figure S1. Overview of tissue samples analyzed for each patient. Supplementary Figure S2. Topology and histomorphology of Crohn''s disease associated colorectal carcinomas (CD-CRCs; n = 32) from our cohort. Supplementary Figu…
View article: Supplementary Table from Dynamics of Genome Alterations in Crohn's Disease–Associated Colorectal Carcinogenesis
Supplementary Table from Dynamics of Genome Alterations in Crohn's Disease–Associated Colorectal Carcinogenesis Open
Post filtering mutation data set.
View article: Supplementary Tables from Dynamics of Genome Alterations in Crohn's Disease–Associated Colorectal Carcinogenesis
Supplementary Tables from Dynamics of Genome Alterations in Crohn's Disease–Associated Colorectal Carcinogenesis Open
Supplementary Table S1. Genes included in OncoVar assay. Supplementary Table S2. Individual clinico-pathologic characteristics of patients with Crohn's disease associated colorectal carcinoma (CD-CRC). Supplementary Table S3. Individual cl…
View article: Supplementary Figures from Dynamics of Genome Alterations in Crohn's Disease–Associated Colorectal Carcinogenesis
Supplementary Figures from Dynamics of Genome Alterations in Crohn's Disease–Associated Colorectal Carcinogenesis Open
Supplementary Figure S1. Overview of tissue samples analyzed for each patient. Supplementary Figure S2. Topology and histomorphology of Crohn''s disease associated colorectal carcinomas (CD-CRCs; n = 32) from our cohort. Supplementary Figu…
View article: Supplementary Table from Dynamics of Genome Alterations in Crohn's Disease–Associated Colorectal Carcinogenesis
Supplementary Table from Dynamics of Genome Alterations in Crohn's Disease–Associated Colorectal Carcinogenesis Open
Post filtering mutation data set.
View article: Data from Dynamics of Genome Alterations in Crohn's Disease–Associated Colorectal Carcinogenesis
Data from Dynamics of Genome Alterations in Crohn's Disease–Associated Colorectal Carcinogenesis Open
Purpose: Patients with inflammatory bowel diseases, that is, ulcerative colitis and Crohn's disease (CD), face an increased risk of developing colorectal cancer (CRC). Evidence, mainly from ulcerative colitis, suggests that TP53 mutations …
View article: Data from Dynamics of Genome Alterations in Crohn's Disease–Associated Colorectal Carcinogenesis
Data from Dynamics of Genome Alterations in Crohn's Disease–Associated Colorectal Carcinogenesis Open
Purpose: Patients with inflammatory bowel diseases, that is, ulcerative colitis and Crohn's disease (CD), face an increased risk of developing colorectal cancer (CRC). Evidence, mainly from ulcerative colitis, suggests that TP53 mutations …
View article: Supplementary Tables from Dynamics of Genome Alterations in Crohn's Disease–Associated Colorectal Carcinogenesis
Supplementary Tables from Dynamics of Genome Alterations in Crohn's Disease–Associated Colorectal Carcinogenesis Open
Supplementary Table S1. Genes included in OncoVar assay. Supplementary Table S2. Individual clinico-pathologic characteristics of patients with Crohn's disease associated colorectal carcinoma (CD-CRC). Supplementary Table S3. Individual cl…
View article: Supplementary Table S1 from Chromothripsis and Focal Copy Number Alterations Determine Poor Outcome in Malignant Melanoma
Supplementary Table S1 from Chromothripsis and Focal Copy Number Alterations Determine Poor Outcome in Malignant Melanoma Open
Supplementary Table S1 PDF file 43K,Summary of aCGH gains and losses in the 18 MM samples
View article: Data from Chromothripsis and Focal Copy Number Alterations Determine Poor Outcome in Malignant Melanoma
Data from Chromothripsis and Focal Copy Number Alterations Determine Poor Outcome in Malignant Melanoma Open
Genetic changes during tumorigenesis are usually acquired sequentially. However, a recent study showed that in 2% to 3% of all cancers a single catastrophic event, termed chromothripsis, can lead to massive genomic rearrangements confined …
View article: Data from Chromothripsis and Focal Copy Number Alterations Determine Poor Outcome in Malignant Melanoma
Data from Chromothripsis and Focal Copy Number Alterations Determine Poor Outcome in Malignant Melanoma Open
Genetic changes during tumorigenesis are usually acquired sequentially. However, a recent study showed that in 2% to 3% of all cancers a single catastrophic event, termed chromothripsis, can lead to massive genomic rearrangements confined …
View article: Supplementary Table S1 from Chromothripsis and Focal Copy Number Alterations Determine Poor Outcome in Malignant Melanoma
Supplementary Table S1 from Chromothripsis and Focal Copy Number Alterations Determine Poor Outcome in Malignant Melanoma Open
Supplementary Table S1 PDF file 43K,Summary of aCGH gains and losses in the 18 MM samples
View article: Comprehensive biomarker analysis of long-term response to trastuzumab in patients with HER2-positive advanced gastric or gastroesophageal adenocarcinoma
Comprehensive biomarker analysis of long-term response to trastuzumab in patients with HER2-positive advanced gastric or gastroesophageal adenocarcinoma Open
The study highlights the clinical relevance of PD-L1 testing also in the context of trastuzumab treatment and offers a biological rational by demonstrating elevated CD4+ memory T-cells scores in the PD-L1-positive group.
View article: Microscopic, Macroscopic and Thermal Impact of Argon Plasma, Diode Laser, and Electrocoagulation on Ovarian Tissue
Microscopic, Macroscopic and Thermal Impact of Argon Plasma, Diode Laser, and Electrocoagulation on Ovarian Tissue Open
Our study hints at superior safety profiles of preciseAPC® and monopolar electrocoagulation compared to bipolar electrocoagulation, diode laser and forcedAPC® for ovarian laparoscopic surgery.