B cells in breast cancer pathology

M Li, A Quintana, E Alberts, MS Hung, V Boulat… - Cancers, 2023 - mdpi.com
Simple Summary B cells in the tumour microenvironment and lymph nodes have affirmed
their role in breast cancer pathology. Multiplex imaging, single cell, and spatial …

The Emerging Role of Tertiary Lymphoid Structures in Breast Cancer: A Narrative Review

D Narvaez, J Nadal, A Nervo, MV Costanzo, C Paletta… - Cancers, 2024 - mdpi.com
Simple Summary This narrative review discusses the role of tertiary lymphoid structures
(TLSs) in breast cancer. TLSs are ectopic lymphoid formations that can develop in response …

Deep Learning Model for Predicting Immunotherapy Response in Advanced Non− Small Cell Lung Cancer

M Rakaee, M Tafavvoghi, B Ricciuti, JV Alessi… - JAMA …, 2024 - jamanetwork.com
Importance Only a small fraction of patients with advanced non− small cell lung cancer
(NSCLC) respond to immune checkpoint inhibitor (ICI) treatment. For optimal personalized …

[HTML][HTML] Machine learning-based immune phenotypes correlate with STK11/KEAP1 co-mutations and prognosis in resectable NSCLC: a sub-study of the TNM-I trial

M Rakaee, S Andersen, K Giannikou, EE Paulsen… - Annals of …, 2023 - Elsevier
Background We aim to implement an immune cell score model in routine clinical practice for
resected non-small-cell lung cancer (NSCLC) patients (NCT03299478). Molecular and …

Immunotherapy in non-small-cell lung cancer patients with driver alterations: A new strategy?

N Krzyżanowska, P Krawczyk, K Wojas-Krawczyk… - Cells, 2022 - mdpi.com
For many years, researchers have been trying to develop the most effective ways to fight
lung cancer, which is the cause of the largest number of cancer-related deaths among men …

Clinicopathological and prognostic value of tertiary lymphoid structures in lung cancer: a meta-analysis

L Ma, X Qin, A Yu, H Liu, D Pan, Y Gao, Z Wu… - Clinical and …, 2024 - Springer
Objective The purpose of this meta-analysis was to examine the clinicopathological and
prognostic significance of tertiary lymphocytic infiltrates in lung cancer. Method A systematic …

Developing a machine learning model for tumor cell quantification in standard histology images of lung cancer

S Kristoffersen - 2023 - munin.uit.no
Background Tumor purity estimation plays a crucial role in genomic profiling and is
traditionally carried out manually by pathologists. This manual approach has several …