T. Luedde

Multimodal single-cell profiling reveals cancer crosstalk between macrophages and stromal cells in poor prognostic cholangiocarcinoma patients.

This study uses multimodal single-cell profiling to identify immune cell crosstalk mechanisms in poor prognostic cholangiocarcinoma, revealing key ligand pairs and pathways contributing to immune exhaustion.

KIF23 regulation by miR-107 controls replicative tumor cell fitness in mouse and human hepatocellular carcinoma

TIGIT drives the immunosuppressive environment by downregulation of metalloproteinases MMP2 and MMP14 in perihilar cholangiocarcinoma.

This study examines TIGIT's role in perihilar cholangiocarcinoma by showing its association with immunosuppressive markers and MMP2/MMP14 downregulation.

Differential modulation of miR-122 transcription by TGFbeta1/BMP6: implications for nonresolving inflammation and hepatocarcinogenesis

This study identifies miR-122 as a key regulator in inflammation-associated liver cancer, showing its differential modulation by TGFbeta1 and BMP6 and its link to chronic liver disease.

Uncovering novel roles of miR-122 in the pathophysiology of the liver: Potential interaction with NRF1 and E2F4 signaling

This study identifies miR-122's role in liver disease by showing its antagonistic effects on NRF1 and E2F4 and its impact on proteins linked to malignancy.

PD1+ T-cells correlate with Nerve Fiber Density as a prognostic biomarker in patients with resected perihilar cholangiocarcinoma.

The paper investigates the association between PD1+ T-cells and nerve fiber density (NFD) in resected perihilar cholangiocarcinoma (pCCA) patients, finding that high NFD correlates with improved overall survival.

DeepMed: A unified, modular pipeline for end-to-end deep learning in computational pathology

DeepMed provides a modular, scalable AI pipeline for predicting molecular and histopathological features from histopathology images, with public benchmark data.

Nerve fibers in the Tumor Microenvironment are co-localized with Tertiary Lymphoid Structures

The paper analyzes nerve fiber density and tertiary lymphoid structures in pancreatic cancer, finding that high nerve fiber density and TLS count correlate with improved survival.

Deep learning detects virus presence in cancer histology

This paper uses deep learning to detect the presence of HPV and EBV in cancer histology images, achieving high accuracy in predicting virus-associated tumors.