Immunotherapy for non-small cell lung cancer

H Kagamu - Respiratory Investigation, 2024 - Elsevier
Immune checkpoint inhibitors (ICI) bind to programmed cell death-1 (PD-1)/PD-1 ligand-1
(PD-L1) and Cytotoxic T-lymphocyte antigen-4 (CTLA-4), which suppress T-cell function and …

Dynamic evaluation of blood immune cells predictive of response to immune checkpoint inhibitors in NSCLC by multicolor spectrum flow cytometry

W Ma, S Wei, S Long, EC Tian, B McLaughlin… - Frontiers in …, 2023 - frontiersin.org
Introduction Immune checkpoint inhibitors (ICIs) only benefit a subset of cancer patients,
underlining the need for predictive biomarkers for patient selection. Given the limitations of …

CD4, CD20 and PD-L1 as markers of recurrence in non-muscle-invasive bladder cancer

A Semeniuk-Wojtaś, M Modzelewska… - Cancers, 2023 - mdpi.com
Simple Summary BCG immunotherapy plays an important role in bladder cancer treatment.
Unfortunately, we do not know how exactly the tumor microenvironment influences cancer …

[PDF][PDF] Association between radiomics features of DCE-MRI and CD8+ and CD4+ TILs in advanced gastric cancer

H Huang, Z Li, Y Xia, Z Zhao, D Wang… - Pathology and …, 2023 - por-journal.com
Objective: The aim of this investigation was to explore the correlation between the levels of
tumor-infiltrating CD8+ and CD4+ T cells and the quantitative pharmacokinetic parameters …

The efficacy of neoadjuvant immunotherapy and lymphocyte subset predictors in locally advanced esophageal squamous cell carcinoma: A retrospective study

R Wang, S Wen, X Du, J Xia, B Hu, Y Zhang… - Cancer …, 2024 - Wiley Online Library
Background Despite the recognized therapeutic potential of programmed cell death protein
1/programmed death‐ligand 1 (PD‐1/PD‐L1) inhibitors in advanced esophageal squamous …

[HTML][HTML] Machine learning models based on quantitative dynamic contrast-enhanced MRI parameters assess the expression levels of CD3+, CD4+, and CD8+ tumor …

H Huang, Z Li, D Wang, Y Yang, H Jin, Z Lu - Frontiers in Oncology, 2024 - frontiersin.org
Objective To explore the effectiveness of machine learning classifiers based on dynamic
contrast-enhanced magnetic resonance imaging (DCE-MRI) in predicting the expression …

[HTML][HTML] Supervised clustering of peripheral immune cells associated with clinical response to checkpoint inhibitor therapy in patients with advanced melanoma

AH Kverneland, SU Thorsen, JS Granhøj… - Immuno-Oncology and …, 2023 - Elsevier
Background and purpose Immune therapy with checkpoint inhibitors (CPIs) is a highly
successful therapy in many cancers including metastatic melanoma. Still, many patients do …

Effects of CCT subunits on clinical prognosis and tumor microenvironment in thyroid cancer

Y Bai, X Shi - 2024 - researchsquare.com
To investigate the expression, clinical significance, mechanism of action, and tumor
microenvironment (TME) of eight subunits of the chaperonin-containing TCP1 complex …

[PDF][PDF] Kołaczy nska

A Semeniuk-Wojtas, M Modzelewska… - 2023 - ppm.edu.pl
Introduction: A tumor microenvironment plays an important role in bladder cancer
development and in treatment response. Purpose: The aim of the study was to assess how …

Radiomics Models of Dynamic Contrast-Enhanced MRI for Evaluation of the Expression Levels of CD3+, CD4+ & CD8+ Tumor-Infiltrating Lymphocytes in Advanced …

Z Li, D Wang, Y Yang, HY Jin, Z Lu - 2023 - researchsquare.com
Objective To explore the effectiveness of machine learning classifiers based on dynamic
contrast-enhanced magnetic resonance imaging (DCE-MRI) in predicting the expression …