Relationship between Serum PON-1，NDRG4 and SFRP4 Expression，Peripheral Blood Immune Cell Distribution，and Prognosis in Gastric Cancer Patients

Tian TIAN; Xiaodong YANG; Shujie GE

Article Contents

Article Navigation > Journal of Kunming Medical University > 2025 > Corrected proof

Tian TIAN, Xiaodong YANG, Shujie GE. Relationship between Serum PON-1，NDRG4 and SFRP4 Expression，Peripheral Blood Immune Cell Distribution，and Prognosis in Gastric Cancer Patients[J]. Journal of Kunming Medical University.

Citation:

PDF( 803 KB)

Relationship between Serum PON-1，NDRG4 and SFRP4 Expression，Peripheral Blood Immune Cell Distribution，and Prognosis in Gastric Cancer Patients

1.
Department of Laboratory Medicine，Lanshan District People’s Hospital，Rizhao Shandong 276806
2.
Department of Nuclear Medicine，The First Affiliated Hospital of Bengbu Medical University，Bengbu Anhui 233004，China

Received Date: 2025-07-08
Available Online: 2025-10-09

Abstract

Abstract

Objective To explore the intrinsic relationship between serum Paraoxonase-1 （PON-1）, N-Myc downstream-regulated gene 4 （NDRG4）, secreted frizzled-related protein 4 （SFRP4） expression levels, peripheral blood immune cell distribution, and prognosis in patients with gastric cancer. Methods Clinical data from 187 gastric cancer patients diagnosed and treated at Rizhao Lanshan District People's Hospital between April 2020 and August 2023 were selected as the case group, with 180 suspected patients from the same period serving as the control group. Fasting venous blood was collected from all study subjects, and enzyme-linked immunosorbent assay （ELISA） was utilized to measure serum PON-1, NDRG4, and SFRP4 expression levels. Flow cytometry was employed to detect the proportions of various immune cells in the peripheral blood of the case group, providing a comprehensive evaluation of peripheral blood immune cell distribution. Survival information was gathered through follow-up, and overall survival （OS） was recorded. The case group was divided into high and low expression groups based on the median serum biomarker expression, allowing for a comparison of immune status and prognostic differences between groups. The Kaplan-Meier method and Cox proportional hazards regression model were used to analyze the correlation between markers and prognosis, while Spearman analysis was employed to assess the association between indicators and survival prognosis. Results Compared to the control group, the case group showed no statistically significant differences in age, gender, and BMI （P > 0.05）, but exhibited increased expression of PON-1, SFRP4, and CD8+ T cells, alongside decreased expression of NDRG4, CD3+ T, CD4+ T, B lymphocytes, and NK cells （P < 0.05）. After grouping by median values, the PON-1 high expression group demonstrated a lower proportion of CD8+ T cells compared to the low expression group （P < 0.05）, while the NDRG4 high expression group had a higher proportion of CD4+ T cells than the low expression group （P < 0.05）. Additionally, the SFRP4 high expression group exhibited a lower proportion of CD4+ T and NK cells compared to the low expression group （P < 0.05）. Univariate Cox regression analysis revealed that age, PON-1, NDRG4, SFRP4 expression, and lymph node metastasis were associated with the prognosis of gastric cancer patients （P < 0.05）. Cox regression analysis indicated that NDRG4≥0.85ng/mL, lymph node metastasis, PON-1<120.56 pg/mL, SFRP4≥210.32 pg/mL, and age≥60 years were risk factors for mortality in gastric cancer patients （P < 0.05）. By the end of follow-up, 61 out of 187 gastric cancer patients had died, with a median survival of 14.5 months （3～24 months）. Kaplan-Meier analysis showed that the PON-1 high expression group had a median survival of 16.00 （12.75, 21.00） months, significantly longer than the low expression group’ s 15.00 （15.00, 16.00） months （P < 0.01）; the NDRG4 high expression group had a median survival of 12.00 （10.00, 14.00） months, significantly shorter than the low expression group's 17.50 （13.00, 20.00） months （P < 0.01）; the SFRP4 high expression group had a median survival of 9.00 （8.00, 12.00） months, significantly shorter than the low expression group's 19.00 （15.00, 22.00） months （P < 0.01）. Spearman analysis revealed that age, lymph node metastasis, NDRG4, and SFRP4 were positively correlated with survival prognosis （P < 0.05）, while PON-1 was negatively correlated （P < 0.05）. Conclusion Serum PON-1, NDRG4, and SFRP4 expression levels in gastric cancer patients are closely related to peripheral blood immune cell distribution, exhibit clear interrelationships, and critically impact patient prognosis, providing potential reference indicators for gastric cancer prognosis assessment.
- Gastric cancer,
- P-oxyphosphatase 1,
- Downstream regulatory gene 4 of N-Myc,
- Secretory crimpy-associated protein 4,
- Distribution of immune cells in peripheral blood,
- Prognosis

FullText(HTML)

References(20)

References

[1]	Guan W L, He Y, Xu R H. Gastric cancer treatment: Recent progress and future perspectives[J]. J Hematol Oncol, 2023, 6(1): 57-63.
[2]	Ajani J A, D'Amico T A, Bentrem D J, et al. 2022, NCCN clinical practice guidelines in oncology[J]. J Natl Compr Canc Netw, 2022, 20(2): 167-192. doi: 10.6004/jnccn.2022.0008
[3]	Yang W J, Zhao H P, Yu Y, et al. Updates on global epidemiology, risk and prognostic factors of gastric cancer[J]. World J Gastroenterol, 2023, 29(16): 2452-2468. doi: 10.3748/wjg.v29.i16.2452
[4]	杨为彬, 史经汉, 朱硕, 等. 卡瑞利珠单抗结合DSOX方案对晚期胃癌患者血清BARD1、TAP表达的影响[J]. 中国老年学杂志, 2024, 44(1): 31-34.
[5]	唐嘉黛, 杨静, 宋红莉, 等. 318例原发性胃癌转移及预后影响因素的相关分析[J]. 昆明医科大学学报, 2023, 44(2): 9-12.
[6]	中国抗癌协会胃癌专业委员会, 中国抗癌协会肿瘤胃肠病学专业委员会. 胃癌根治术标本的规范化外科处理中国专家共识(2022版)[J]. 中华胃肠外科杂志, 2022, 25(2): 93-103.
[7]	Amin M B, Edge S B, Greene F L, et al. AJCC cancer staging manual. 8th ed. new york[J]Springer, 2017;8(6): 517-535.
[8]	黄奕龙, 罗强, 黄爱茹. 胃癌患者血清中miR-373和miR-592的表达变化及意义[J]. 山东医药, 2022, 62(4): 82-85.
[9]	卢顺利, 李洪涛, 于建平, 等. 血清甲胎蛋白阳性胃癌患者临床病理特征与预后关系的研究[J]. 中国肿瘤临床, 2023, 50(1): 30-36.
[10]	Yasuda T, Wang Ya. Gastric cancer immunosuppressive microenvironment heterogeneity: Implications for therapy development[J]. Trends Cancer, 2024, 10(7): 627-642. doi: 10.1016/j.trecan.2024.03.008
[11]	Wu X, Chen L, Cheng J, et al. Effect of dietary salt intake on risk of gastric cancer: A systematic review and meta-analysis of case-control studies[J]. Nutrients, 2022, 14(20): 4260. doi: 10.3390/nu14204260
[12]	Conti C B, Agnesi S, Scaravaglio M, et al. Early gastric cancer: update on prevention, diagnosis and treatment[J]. Int J Environ Res Public Health, 2023, 20(3): 2149-2166.
[13]	Hou W, Zhao Y, Zhu H. Predictive biomarkers for immunotherapy in gastric cancer: Current status and emerging prospects[J]. Int J Mol Sci, 2023, 24(20): 15321-15331. doi: 10.3390/ijms242015321
[14]	Xia J Y, Aadam A A. Advances in screening and detection of gastric cancer[J]. J Surg Oncol, 2022, 125(7): 1104-1109. doi: 10.1002/jso.26844
[15]	Duan Y, Xu Y, Dou Y, et al. Helicobacter pylori and gastric cancer: Mechanisms and new perspectives[J]. J Hematol Oncol, 2025, 18(1): 10-13. doi: 10.1186/s13045-024-01654-2
[16]	Lordick F, Carneiro F, Cascinu S, et al. Esmo guidelines committee electronic address: Clinicalguidelines@esmo. org. gastric cancer: Esmo clinical practice guideline for diagnosis, treatment and follow-up[J]. Ann Oncol, 2022, 33(10): 1005-1020. doi: 10.1016/j.annonc.2022.07.004
[17]	Shah R, Khaitan P G, Pandita T K, et al. Gastric cancer in Jammu and Kashmir, India: A review of genetic perspectives[J]. J Cancer Res Ther, 2022, 18(4): 873-879. doi: 10.4103/jcrt.JCRT_12_19
[18]	Zeng Y, Jin R U. Molecular pathogenesis, targeted therapies, and future perspectives for gastric cancer[J]. Semin Cancer Biol, 2022, 86(Pt 3): 566-582.
[19]	谢欣媛, 牛晓辰, 孙建辉, 等. 胃腺癌患者铁死亡相关LncRNA预后模型的构建[J]. 昆明医科大学学报, 2025, 46(4): 36-38.
[20]	Rao X, Zhang C, Luo H, et al. Targeting gastric cancer stem cells to enhance treatment response[J]. Cells, 2022, 11(18): 2828-2835. doi: 10.3390/cells11182828

Relative Articles(20)

Relative Articles

[1]	Fusen XUE, Dawei CHEN, Jianghua SUN. Expression and Prognostic Value of miR-145-5p and FSCN1 in Gastric Cancer Tissues. Journal of Kunming Medical University, doi: 10.12259/j.issn.2095-610X.S20250913
[2]	Xiaoxiao FAN, Xuan ZENG, Pingping ZHOU, Xi LIU, Feifei ZHU, Yanji LUO, Yi WU. Relationship between the Platelet Autophagy-related Factor Expression and Peritoneal Metastasis of Gastric Cancer. Journal of Kunming Medical University, doi: 10.12259/j.issn.2095-610X.S20250715
[3]	Binbin MA, Shaoxiong ZHANG, Yongli GAO. Bioinformatics-based Investigation of the Prognostic Value of ESCRT-related Genes in Osteosarcoma Assessment. Journal of Kunming Medical University, doi: 10.12259/j.issn.2095-610X.S20250406
[4]	Yang LI, Wen JIANG, Rong LIU, Chaomin LIU, Longyu XU, Wenjing ZHANG. Bioinformatics-based Identification of Cuproptosis Genes Associated with Prognosis and Immune Microenvironment in Lung Cancer. Journal of Kunming Medical University, doi: 10.12259/j.issn.2095-610X.S20250405
[5]	Huanhuan LIN, Dongguang YANG, Yanping LI, Haiyun LI, Jinqiao HAN. Expression of PG Ⅰ/PG Ⅱ，NAP1L1，SERPINB5 in Serum of Gastric Cancer Patients and Cox Regression Analysis on Prognosis. Journal of Kunming Medical University, doi: 10.12259/j.issn.2095-610X.S20250806
[6]	Zhi XIE, Lang YANG, Xiaolong ZHANG. Explorations of the Clinical Pathology and Prognosis of Gastric Cancer Based on Systemic Immune Inflammation Index and Ferritin Expression. Journal of Kunming Medical University, doi: 10.12259/j.issn.2095-610X.S20250915
[7]	Ruiting ZHANG, Bin YAN, Zuyan LI, Jinmin SUN, Jin YAO. Relations between Peripheral Blood Blast Clearance Time and Albumin Level at Initial Diagnosis during Induction Chemotherapy and Genetic Mutations and Prognosis in Patients with Acute Myeloid Leukemia. Journal of Kunming Medical University, doi: 10.12259/j.issn.2095-610X.S20240817
[8]	Lizhu ZHAO, Ying DONG, Yue DENG, Lihua YANG. Correlation between Epithelial Cell Related Genes and Prognosis of Patients with Ovarian Cancer based on Single Cell Sequencing. Journal of Kunming Medical University, doi: 10.12259/j.issn.2095-610X.S20240402
[9]	Xinyi MEN, Jing ZHAO, Yongchun SHEN, Hui JI, Xiuxia WANG. The Relationship between Peripheral Blood Immunoglobulin，Erythrocyte Sedimentation Rate，Homocysteine and the Degree of Central Nervous System Vasculitis in Children and Their Influence on Prognosis. Journal of Kunming Medical University, doi: 10.12259/j.issn.2095-610X.S20241217
[10]	Huiqiong HE, Mengmei ZHANG, Ying YAN, Jing Lei, Yaying YANG, Kaipeng XIE. Diagnostic Value of MSCT Combined With MRI in T Staging of Gastric Cancer. Journal of Kunming Medical University, doi: 10.12259/j.issn.2095-610X.S20230227
[11]	Xiaohua LU, Hongxin YUAN. The Analysis of the Correlation between BTLA，CTLA-4 Gene Polymorphisms and the Efficacy and Prognosis of TACE Combined Targeted Therapy for Liver Cancer. Journal of Kunming Medical University, doi: 10.12259/j.issn.2095-610X.S20230927
[12]	Jiadai TANG, Jing YANG, Hongli SONG, Jiaojiao CHEN, Zhonghui MIAO, Lin XIE. Correlation of Metastatic and Prognostic Factors in 318 Cases of Primary Gastric Cancer. Journal of Kunming Medical University, doi: 10.12259/j.issn.2095-610X.S20230218
[13]	Jia-dai TANG, Lin XIE, Hong-li SONG, Jiao-jiao CHEN. Correlation between Metabolic Syndrome and the Occurrence and Development of Gastric Cancer. Journal of Kunming Medical University, doi: 10.12259/j.issn.2095-610X.S20211130
[14]	Cun Hong Li , Zhang Da Fu , Li Hua Xiu , Wang Na , Zhang Zhi Ping , Wang Guan Shun . . Journal of Kunming Medical University,
[15]	Lei Hai Feng . . Journal of Kunming Medical University,
[16]	Xu Jian Xin . . Journal of Kunming Medical University,
[17]	Song Ji . . Journal of Kunming Medical University,
[18]	Liu Jian Gang . . Journal of Kunming Medical University,
[19]	Xu Ben Feng . . Journal of Kunming Medical University,
[20]	. Expression and Clinical Significance of XAGE-1 Gene in Gastric Cancer. Journal of Kunming Medical University,