Association of preoperative and postoperative CA72‐4 with gastric cancer outcome

Zheng

et al. 2021

Preprint

Background Helicobacter pylori (HP) infection is one of the leading causes of gastric cancer (GC). However, the interaction between HP and the TME, and its carcinogenic mechanism remains unknown. Methods We screened 28 HP-related prognostic genes based on HP infection-related gene markers and HP infection sample datasets (GSE6143 and GSE60662). We then constructed an HPscore system by using the principal component analysis algorithm and successfully quantified the HP modification characteristics of a single GC sample. In addition, we comprehensively analysed the relationship between the HPscore and the clinical characteristics of patients with GC, the immune cell infiltration characteristics of the TME and stemness. Results We successfully identified 28 HP-related prognostic genes that accurately classified the GC population. There are significant differences in survival between different subgroups(high-, low-risk and cluster_1,2). Thereafter, we constructed the HPscore system to systematically evaluate the modification characteristics of the 28 HP-related prognostic genes, and the internal and external validation of the HPscore system suggested similar results: the overall survival rate in the high -HPscore group was poor, and immunological surveillance was reduced, whereas the low-HPscore group had a survival advantage, and was related to the inflammatory response. HPscore was also strongly correlated with the tumour stage, TME cell infiltration and stemness. Conclusions HP-modified characteristics play a crucial role in the TME and tumourigenesis. HPscore evaluation of a single tumour sample can help identify the TME characteristics and the carcinogenic mechanism of GC patients infected with HP, based on which personalised treatment can be administered.

Section: Discussionmentioning

confidence: 59%

Integrated Analysis of Helicobacter Pylori-Related Prognostic Gene Modification Patterns in the Tumour Microenvironment of Gastric Cancer

Zheng

et al. 2021

Preprint

“…As expected, the 28 genes were strongly associated with tumour immune-infiltrating cells. In addition, C3 (23), CSFR (24-26), CXCR6 (27-29), and CXCL3 (30) have been identified as immune-related factors, and their misexpression in GC affects prognosis (24,29,31,32). Our GO and KEGG analysis results also suggested that these genes are involved in immunoregulation and tumour progression pathways.…”

Section: Discussionmentioning

confidence: 59%

Integrated analysis of Helicobacter pylori-related prognostic gene modification patterns in the tumour microenvironment of gastric cancer

Zheng

Wang²,

Wang³

et al. 2022

Front. Surg.

BackgroundHelicobacter pylori (HP) infection is one of the leading causes of gastric cancer (GC). However, the interaction between HP and the TME, and its carcinogenic mechanism remains unknown.MethodsThe HP-related prognostic genes were identified based on HP infection-related gene markers and HP infection sample datasets by risk method and NMF algorithm. Principal component analysis (PCA) algorithm was used to constructed the HPscore system. The “limma” R package was employed to determine differentially expressed genes. In addition, the R packages, such as “xCell” and “GSVA”, was used to analyze the relationship between the HPscore and tumor microenvironment. Finally, quantitative real-time polymerase chain reaction (qRT-PCR) was conducted to verify the expression levels of 28 HP-related prognostic genes in tissues.ResultsWe successfully identified 28 HP-related prognostic genes that accurately classified the GC population. There are significant differences in survival between different subgroups (high-, low-risk and cluster_1,2). Thereafter, the HPscore system was constructed to evaluate the signatures of the 28 HP-related prognostic genes. The overall survival rate in the high-HPscore group was poor and immunological surveillance was reduced, whereas the low-HPscore group had a survival advantage and was related to the inflammatory response. HPscore was also strongly correlated with the tumour stage, TME cell infiltration and stemness. The qRT-PCR results showed that DOCK4 expression level of 28 HP-related prognostic genes was higher in gastric cancer tissues than in adjacent tissues.ConclusionsHP signatures play a crucial role in the TME and tumourigenesis. HPscore evaluation of a single tumour sample can help identify the TME characteristics and the carcinogenic mechanism of GC patients infected with HP, based on which personalized treatment can be administered.

“…Wakatsuki Ket al also reported that pN ≥ 14 and preoperative CA19-9 were independent risk factors for ERec (early recurrence within 12 months) after curative gastrectomy in pStage III GC [ 27 ]. A previous study of 1179 GC patients showed that pre- or postoperative CA72-4 was independently associated with shorter OS and RFS [ 28 ]. Consistent with previous findings, our study also suggested that lymph node metastasis was a risk factor for recurrence in GC patients.…”

Section: Discussionmentioning

confidence: 99%

CA19‑9 is a significant prognostic factor in stage III gastric cancer patients undergoing radical gastrectomy

Ma,

Zhou,

Guo

et al. 2024

BMC Surg

Background Due to the great heterogeneity of gastric cancer (GC), the prognosis of patients within a stage is very different. Therefore, it is necessary to identify the high risk factors for postoperative recurrence and metastasis and take appropriate therapeutic strategies to improve the prognosis of patients. In this study, we aimed to explore the prognostic significance of preoperative and postoperative serum carcinoembryonic antigen (CEA), carbohydrate antigen 19 − 9 (CA19-9) and carbohydrate antigen 72 − 4 (CA72-4) in patients with stage I, II and III GC who underwent radical gastrectomy. Methods A total of 580 patients who underwent curative surgical resection and had not received neoadjuvant chemotherapy were included in this study. The relationship between clinicopathological features and recurrence was analysed. Survival analysis was performed by Kaplan–Meier curve. Univariate and multivariate Cox regression analyses were performed to determine prognostic factors in GC patients. Results Among patients with stage III GC, the recurrence free survival (RFS) and overall survival (OS) of patients with CA19-9>35 U/mL were significantly lower than those with CA19-9 ≤ 35 U/mL; CA19-9 was always a significant independent marker. CEA and CA72-4 were sometime useful to predict RFS or OS alternatively in the pre- or postoperative period. The only other independent significant factors for prognosis in our study were lymph node metastases for RFS and postoperative adjuvant chemotherapy for OS. Conclusion Preoperative and postoperative CA19-9 values are independent risk factors for predicting prognosis in stage III GC after curative gastrectomy.