Up-regulation of S100P predicts the poor long-term survival and construction of prognostic signature for survival and immunotherapy in patients with pancreatic cancer.

Abstract

Pancreatic cancer is associated with a high mortality rate, and the prognosis is positively related to immune status. In this study, we constructed a prognostic signature from survival- and immune-related genes (IRGs) to guide treatment and assess prognosis of patients with pancreatic cancer. The transcriptomic data were obtained from The Cancer Genome Atlas (TCGA) database, and IRGs were extracted from the ImmPort database. Univariate and LASSO regression analysis were used to obtain survival-related IRGs. Finally, the prognostic signature was constructed using multivariate regression analysis. The laboratory experiments were conducted to verify the key IRG expression. Immune cells infiltration was analyzed using the CIBERSORT algorithm and TIMER database. Prognostic signature containing four IRGs (ADA2, TLR1, PTPN6, S100P) was constructed with good predictive performance; in particular, S100P played a significant role in the immune microenvironment, and tumorigenesis of pancreatic cancer. Moreover, we found that CD8+ T cell and activated CD4+ memory T cell tumor infiltration was lower in the high-risk group, while high-risk score correlated positively with higher tumor mutational burden, and the higher half inhibitory centration 50 of chemotherapeutic agents Docetaxel and Sunitinib. In summary, this study identified and constructed an immune-related prognostic signature that can predict overall survival, besides suggests that S100P was a novel immune-related biomarker. We hope that this signature will aid the identification of new biomarkers for the individualized immunotherapy of pancreatic cancer.

• Authors: Wenbo Zou, Lincheng Li, Zizheng Wang, Nan Jiang, Fei Wang, Minggen Hu, Rong Liu
• Journal: Bioengineered (Bioengineered) Vol. 12 Issue 1 Pg. 9006-9020 (12 2021) ISSN: 2165-5987 [Electronic] United States
• PMID: 34654352 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't)

Chemical References

• Biomarkers, Tumor
• Calcium-Binding Proteins
• Neoplasm Proteins
• S100P protein, human

Topics

• Aged
• Biomarkers, Tumor (genetics, metabolism)
• Calcium-Binding Proteins (genetics, metabolism)
• Female
• Follow-Up Studies
• Gene Expression Profiling
• Gene Expression Regulation, Neoplastic
• Humans
• Immunotherapy (mortality)
• Male
• Neoplasm Proteins (genetics, metabolism)
• Pancreatic Neoplasms (drug therapy, metabolism, mortality, pathology)
• Prognosis
• Survival Rate
• Transcriptome
• Tumor Microenvironment