There is a lack of useful biomarkers for predicting the efficacy of anti-programmed death-1 (PD-1) therapy for advanced gastric and colorectal cancer. To address this issue, in this study we investigated the correlation between inflammatory marker expression and survival in patients with advanced gastric and colorectal cancer. Data for 111 patients with advanced gastric and colorectal cancer treated with anti-PD-1 regimens were retrospectively analyzed. Neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), platelet-to-lymphocyte ratio (PLR), and clinical characteristics of each patient were selected as the main variables. Overall response rate, disease control rate, and progression-free survival were primary endpoints, and overall survival and immune-related adverse events (irAEs) were secondary endpoints. The chi-squared test and Fisher's exact test were used to evaluate relationships between categorical variables. Uni- and multivariate Cox regression analyses were performed, and median progression-free survival and overall survival were estimated with the Kaplan-Meier method. The overall response rate and disease control rate of anti-PD-1therapy in advanced gastric and colorectal tumors were 12.61 and 66.66%, respectively. The patients with MLR < 0.31, NLR < 5, and PLR < 135 had a significantly higher disease control rate than those with MLR > 0.31, NLR > 5, and PLR > 135 ( < 0.05). The multivariate analysis revealed that MLR < 0.31, BMI > 18.5, and anti-PD-1 therapy in first-line were associated with prolonged PFS. MLR < 0.31 and BMI > 18.5 were associated with prolonged overall survival. The irAE rate differed significantly between PLR groups, and PLR < 135 was associated with an increased rate of irAEs ( = 0.028). These results indicate that the inflammatory markers NLR, MLR, and PLR have clinical utility for predicting survival or risk of irAEs in patients with advanced gastric cancer and colorectal cancer.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8005614PMC
http://dx.doi.org/10.3389/fcell.2021.638312DOI Listing

Publication Analysis

Top Keywords

advanced gastric
24
gastric colorectal
20
patients advanced
16
colorectal cancer
16
mlr 031
16
disease control
12
control rate
12
plr 135
12
inflammatory markers
8
survival
8

Similar Publications

scSMD: a deep learning method for accurate clustering of single cells based on auto-encoder.

BMC Bioinformatics

January 2025

Department of Surgery, Shanghai Key Laboratory of Gastric Neoplasms, Shanghai Institute of Digestive Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Background: Single-cell RNA sequencing (scRNA-seq) has transformed biological research by offering new insights into cellular heterogeneity, developmental processes, and disease mechanisms. As scRNA-seq technology advances, its role in modern biology has become increasingly vital. This study explores the application of deep learning to single-cell data clustering, with a particular focus on managing sparse, high-dimensional data.

View Article and Find Full Text PDF

Advances in Pharmacological Research on Icaritin: A Comprehensive Review.

Am J Chin Med

January 2025

Henan Key Laboratory of Digestive Organ Transplantation, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, P. R. China.

has been widely used in traditional Chinese medicine for several thousands of years. This plant is known for tonifying kidney Yang, strengthening muscles and bones, and dispelling wind and dampness. It is worth noting that icaritin, a prenylated flavonoid isolated from , has received increasing attention in recent years due to its wide range of pharmacological activities.

View Article and Find Full Text PDF

Assessing the Impacts of Drug Loading and Polymer Type on Dissolution Behavior and Diffusive Flux of GDC-6893 Amorphous Solid Dispersions.

J Pharm Sci

January 2025

Department of Synthetic Molecule Pharmaceutical Sciences, Genentech, Inc., 1 DNA Way, South San Francisco, CA 94080, USA. Electronic address:

It is desirable but remains challenging to develop high drug load amorphous solid dispersions (ASDs) without compromising their quality attributes and bio-performance. In this work, we investigated the impacts of formulation variables, such as drug loading (DL) and polymer type, on dissolution behavior, diffusive flux, and in vitro drug absorption of ASDs of a high T compound, GDC-6893. ASDs with two polymers (HPMCAS and PVPVA) and various DLs (20 - 80%) were produced by spray drying and their drug-polymer miscibility was evaluated using solid-state nuclear magnetic resonance (ssNMR).

View Article and Find Full Text PDF

Background: The COVID-19 pandemic has overloaded healthcare systems worldwide. Other diseases, such as neoplasms, including gastric cancer, remained prevalent and had their treatment compromised.

Aims: The aim of this study was to evaluate the impact of the COVID-19 pandemic on the treatment of gastric cancer and adherence to the recommended preoperative COVID-19 screening protocol.

View Article and Find Full Text PDF

Tumour heterogeneity and personalized treatment screening based on single-cell transcriptomics.

Comput Struct Biotechnol J

December 2024

School of Pharmaceutical Sciences (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong 518107, China.

According to global cancer statistics for the year 2022, based on updated estimates from the International Agency for Research on Cancer, there were approximately 20 million new cases of cancer in 2022 alongside 9.7 million related deaths. Lung, breast, colorectal, gastric, and liver cancers are the most common types of cancer.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!