A Novel pyroptosis-related signature for predicting prognosis and evaluating tumor immune microenvironment in ovarian cancer

Abstract Ovarian cancer (OV) is the most fatal gynecological malignant tumor worldwide, with high recurrence rates and great heterogeneity. Pyroptosis is a newly-acknowledged inflammatory form of cell death with an essential role in cancer progression, though studies focusing on prognostic patterns...

Full description

Saved in:
Bibliographic Details
Main Authors: Jiani Yang (Author), Chao Wang (Author), Yue Zhang (Author), Shanshan Cheng (Author), Yanna Xu (Author), Yu Wang (Author)
Format: Book
Published: BMC, 2023-09-01T00:00:00Z.
Subjects:
Online Access:Connect to this object online.
Tags: Add Tag
No Tags, Be the first to tag this record!

MARC

LEADER 00000 am a22000003u 4500
001 doaj_be786544dba0485082a80eae2c9110c8
042 |a dc 
100 1 0 |a Jiani Yang  |e author 
700 1 0 |a Chao Wang  |e author 
700 1 0 |a Yue Zhang  |e author 
700 1 0 |a Shanshan Cheng  |e author 
700 1 0 |a Yanna Xu  |e author 
700 1 0 |a Yu Wang  |e author 
245 0 0 |a A Novel pyroptosis-related signature for predicting prognosis and evaluating tumor immune microenvironment in ovarian cancer 
260 |b BMC,   |c 2023-09-01T00:00:00Z. 
500 |a 10.1186/s13048-023-01275-2 
500 |a 1757-2215 
520 |a Abstract Ovarian cancer (OV) is the most fatal gynecological malignant tumor worldwide, with high recurrence rates and great heterogeneity. Pyroptosis is a newly-acknowledged inflammatory form of cell death with an essential role in cancer progression, though studies focusing on prognostic patterns of pyroptosis in OV are still lacking. Our research filtered 106 potential pyroptosis-related genes (PRGs) among the 6406 differentially expressed genes (DEGs) between the 376 TCGA-OV samples and 180 normal controls. Through the LASSO-Cox analysis, the 6-gene prognostic signature, namely CITED2, EXOC6B, MIA2, NRAS, SETBP1, and TRPV46, was finally distinguished. Then, the K-M survival analysis and time-dependent ROC curves demonstrated the promising prognostic value of the 6-gene signature (p-value < 0.0001). Furthermore, based on the signature and corresponding clinical features, we constructed and validated a nomogram model for 1-year, 2-year, and 3-year OV survival, with reliable prognostic values in TCGA-OV (p-value < 0.001) and ICGC-OV cohort (p-value = 0.040). Pathway analysis enriched several critical pathways in cancer, refer to the pyroptosis-related signature, while the m6A analysis indicated greater m6A level in high-risk group. We assessed tumor immune microenvironment through the CIBERSORT algorithm, which demonstrated the upregulation of M1 Macrophages and activated DCs and high expression of key immune checkpoint molecules (CTLA4, PDCD1LG2, and HAVCR2) in high-risk group. Interestingly, the high-risk group exhibited poor sensitivity towards immunotherapy and better sensitivity towards chemotherapies, including Vinblastine, Docetaxel, and Sorafenib. Briefly, the pyroptosis-related signature was a promising tool to predict prognosis and evaluate immune responses, in order to assist decision-making for OV patients in the realm of precision medicine. 
546 |a EN 
690 |a Pyroptosis 
690 |a Ovarian cancer 
690 |a Tumor immune microenvironment 
690 |a Prognostic signature 
690 |a Gynecology and obstetrics 
690 |a RG1-991 
655 7 |a article  |2 local 
786 0 |n Journal of Ovarian Research, Vol 16, Iss 1, Pp 1-14 (2023) 
787 0 |n https://doi.org/10.1186/s13048-023-01275-2 
787 0 |n https://doaj.org/toc/1757-2215 
856 4 1 |u https://doaj.org/article/be786544dba0485082a80eae2c9110c8  |z Connect to this object online.