[HTML][HTML] Circulating immune cell dynamics as outcome predictors for immunotherapy in non-small cell lung cancer
AM Rubio, C Everaert, E Van Damme… - … for ImmunoTherapy of …, 2023 - ncbi.nlm.nih.gov
The use of immune checkpoint inhibitors (ICIs) continues to transform the therapeutic
landscape of non-small cell lung cancer (NSCLC), with these drugs now being evaluated at …
landscape of non-small cell lung cancer (NSCLC), with these drugs now being evaluated at …
Identification of prognostic nutritional index as a reliable prognostic indicator for advanced lung cancer patients receiving immune checkpoint inhibitors
X Yan, J Wang, J Mao, Y Wang, X Wang, M Yang… - Frontiers in …, 2023 - frontiersin.org
Background Prognostic nutritional index (PNI) has been identified as a reliable prognostic
factor for cancer adjuvant therapy. However, its prognostic value in lung cancer patients …
factor for cancer adjuvant therapy. However, its prognostic value in lung cancer patients …
The association between early changes in neutrophil-lymphocyte ratio and survival in patients treated with immunotherapy
Dynamic changes in the blood-based biomarkers could be used as a prognostic biomarker
in patients treated with immune checkpoint inhibitors (ICIs), although the data are limited …
in patients treated with immune checkpoint inhibitors (ICIs), although the data are limited …
Gene expressions and high lymphocyte count may predict durable clinical benefits in patients with advanced non-small-cell lung cancer treated with immune …
MT Mouritzen, M Ladekarl, H Hager, TB Mattesen… - Cancers, 2023 - mdpi.com
Simple Summary Despite the promising results not all patients with advanced non-small cell
lung cancer benefit from immunotherapy. Immunotherapy may cause severe adverse …
lung cancer benefit from immunotherapy. Immunotherapy may cause severe adverse …
Influence of treatment-related lymphopenia on the efficacy of immune checkpoint inhibitors in lung cancer: a meta-analysis
Y Zhang, C Huang, S Li - Frontiers in Oncology, 2023 - frontiersin.org
Background Treatment-related lymphopenia (TRL) is common in patients with lung cancer,
particularly in those with radiotherapy. However, the influence of TRL on the efficacy of …
particularly in those with radiotherapy. However, the influence of TRL on the efficacy of …
Splenic volume as a predictor of treatment response in patients with non-small cell lung cancer receiving immunotherapy
F Castagnoli, S Doran, J Lunn, A Minchom, M O'Brien… - PLoS …, 2022 - journals.plos.org
Introduction The spleen is a lymphoid organ and we hypothesize that clinical benefit to
immunotherapy may present with an increase in splenic volume during treatment. The …
immunotherapy may present with an increase in splenic volume during treatment. The …
[HTML][HTML] Longitudinal analysis of the gut microbiota during anti-PD-1 therapy reveals stable microbial features of response in melanoma patients
ADG Macandog, C Catozzi, M Capone, A Nabinejad… - Cell host & …, 2024 - cell.com
Immune checkpoint inhibitors (ICIs) improve outcomes in advanced melanoma, but many
patients are refractory or experience relapse. The gut microbiota modulates antitumor …
patients are refractory or experience relapse. The gut microbiota modulates antitumor …
Immunophenotyping of peripheral blood in NSCLC patients discriminates responders to immune checkpoint inhibitors
L Krizova, I Benesova, P Zemanova, J Spacek… - Journal of Cancer …, 2024 - Springer
Abstract Purpose Immune checkpoint inhibitors (ICIs) dramatically changed the prognosis of
patients with NSCLC. Unfortunately, a reliable predictive biomarker is still missing …
patients with NSCLC. Unfortunately, a reliable predictive biomarker is still missing …
Prognostic relevance of prognostic nutritional indices in gastric or gastro-esophageal junction cancer patients receiving immune checkpoint inhibitors: a systematic …
S Hou, D Song, R Hao, L Li, Y Zhang… - Frontiers in …, 2024 - pmc.ncbi.nlm.nih.gov
Background The Prognostic Nutritional Index (PNI) has become an important predictive tool
for assessing patients' nutritional status and immune competence. It is widely used in …
for assessing patients' nutritional status and immune competence. It is widely used in …
Hybridizing mechanistic modeling and deep learning for personalized survival prediction after immune checkpoint inhibitor immunotherapy
We present a study where predictive mechanistic modeling is combined with deep learning
methods to predict individual patient survival probabilities under immune checkpoint …
methods to predict individual patient survival probabilities under immune checkpoint …