Spatial architecture of the immune microenvironment orchestrates tumor immunity and therapeutic response

T Fu, LJ Dai, SY Wu, Y **ao, D Ma, YZ Jiang… - Journal of hematology & …, 2021 - Springer
Tumors are not only aggregates of malignant cells but also well-organized complex
ecosystems. The immunological components within tumors, termed the tumor immune …

Tumour budding in solid cancers

A Lugli, I Zlobec, MD Berger, R Kirsch… - Nature Reviews Clinical …, 2021 - nature.com
Tumour budding is an emerging prognostic biomarker in colorectal cancer (CRC) and other
solid cancers. Tumour buds are usually defined as isolated single cancer cells or clusters of …

Multistain deep learning for prediction of prognosis and therapy response in colorectal cancer

S Foersch, C Glasner, AC Woerl, M Eckstein… - Nature medicine, 2023 - nature.com
Although it has long been known that the immune cell composition has a strong prognostic
and predictive value in colorectal cancer (CRC), scoring systems such as the immunoscore …

Deep learning for whole slide image analysis: an overview

N Dimitriou, O Arandjelović, PD Caie - Frontiers in medicine, 2019 - frontiersin.org
The widespread adoption of whole slide imaging has increased the demand for effective
and efficient gigapixel image analysis. Deep learning is at the forefront of computer vision …

Deciphering the tumor immune microenvironment from a multidimensional omics perspective: insight into next-generation CAR-T cell immunotherapy and beyond

Z Zhou, J Wang, J Wang, S Yang, R Wang, G Zhang… - Molecular Cancer, 2024 - Springer
Tumor immune microenvironment (TIME) consists of intra-tumor immunological components
and plays a significant role in tumor initiation, progression, metastasis, and response to …

Multiplex immunofluorescence and single‐cell transcriptomic profiling reveal the spatial cell interaction networks in the non‐small cell lung cancer microenvironment

H Peng, X Wu, S Liu, M He, C **e… - Clinical and …, 2023 - Wiley Online Library
Background Conventional immunohistochemistry technologies were limited by the inability
to simultaneously detect multiple markers and the lack of identifying spatial relationships …

Comparator data characteristics and testing procedures for the clinical performance evaluation of continuous glucose monitoring systems

M Eichenlaub, S Pleus, M Rothenbühler… - Diabetes technology …, 2024 - liebertpub.com
Comparing the performance of different continuous glucose monitoring (CGM) systems is
challenging due to the lack of comprehensive guidelines for clinical study design. In …

Multi-scale integrative analyses identify THBS2+ cancer-associated fibroblasts as a key orchestrator promoting aggressiveness in early-stage lung adenocarcinoma

H Yang, B Sun, L Fan, W Ma, K Xu, SRR Hall… - …, 2022 - pmc.ncbi.nlm.nih.gov
Rationale: Subsets of patients with early-stage lung adenocarcinoma (LUAD) have a poor
post-surgical course after curative surgery. However, biomarkers stratifying this high-risk …

Precision medicine in digital pathology via image analysis and machine learning

PD Caie, N Dimitriou, O Arandjelović - Artificial Intelligence in Pathology, 2025 - Elsevier
In this chapter, we present the concept that digital pathology and artificial intelligence can
add value and speed to a pathologist's diagnosis while striving toward precision medicine …

Spatially variant immune infiltration scoring in human cancer tissues

M Allam, T Hu, J Lee, J Aldrich, SS Badve… - NPJ Precision …, 2022 - nature.com
The Immunoscore is a method to quantify the immune cell infiltration within cancers to
predict the disease prognosis. Previous immune profiling approaches relied on limited …