Potential predictive value of CD8A and PGF protein expression in gastric cancer patients treated with neoadjuvant immunotherapy
Year: 2025
Type: article
Abstract: BACKGROUND: Immunoneoadjuvant therapy has gained significant attention due to its remarkable advancements in cancer treatment. This study aimed to investigate the molecular mechanisms underlying immunoneoadjuvant therapy through a comprehensive multiomics analysis of samples from a registered clinical trial cohort. METHODS: Preoperative samples were collected from 16 patients, and postoperative samples were obtained from 12 among them. RNA sequencing (RNA-seq) and Olink proteomics were employed to identify key genes before and after neoadjuvant treatment. The weighted coexpression network was constructed using Weighted gene co-expression network analysis (WGCNA). Furthermore, the proportion of infiltrated immune cells was calculated using xCell based on normalized expression data derived from RNA-seq. RESULTS: T cells and B cells. The top two factors with the highest area under the Receiver Operating Characteristic (ROC) curve were CD8a molecule (CD8A) (1.000) and C-C motif chemokine ligand 20 (CCL20) (0.967). Additionally, the expression of placenta growth factor (PGF) and TNF receptor superfamily member 21 (TNFRSF21) proteins significantly increased in the T1 group compared to the T2 group. High expression of CD8A and PGF were associated with favorable and poor prognosis in gastric cancer patients, respectively. Immunoinfiltration analysis revealed a positive correlation between CD8A and dendritic cell (DC) levels, while a negative correlation was observed with myeloid-derived suppressor cell (MDSC) levels. CONCLUSIONS: Through multiomics analysis, we discovered that CD8A is linked to enhanced treatment response and tumor regression. In contrast, PGF appears to exert adverse effects on treatment outcomes, suggesting a complex interplay of factors influencing the efficacy of immunoneoadjuvant therapy in gastric cancer.
Source: BMC Cancer
Authors: Chengjuan Zhang, Tingjie Wang, Jing Yuan, Tao Wang, Bin Ma, Benling Xu, Ruihua Bai, Xiance Tang, Xiaojie Zhang, Minqing Wu, Tianqi Lei, Wenhao Xu, Yongjun Guo, Ning Li
Language: English
Subfield: Oncology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,390
OpenAlex ID: W4409390628
