A pyroptosis-related signature in colorectal cancer: exploring its prognostic value and immunological characteristics

Background The heterogeneity of colorectal cancer (CRC) is the main cause of the disparity of drug sensitivity and the variability of prognosis. Pyroptosis is closely associated with the development and prognosis of various tumors, including CRC. Dividing CRC into distinct subgroups based on pyropto...

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Main Authors: Peicheng Jiang, Jin Fan, Shenglin Huang, Luying Liu, Minghua Bai, Quanquan Sun, Jinwen Shen, Na Zhang, Dong Liu, Ning Zhou, Yanru Feng, Jin Jiang, Ji Zhu
Format: Article
Language:English
Published: PeerJ Inc. 2023-12-01
Series:PeerJ
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Online Access:https://peerj.com/articles/16631.pdf
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author Peicheng Jiang
Jin Fan
Shenglin Huang
Luying Liu
Minghua Bai
Quanquan Sun
Jinwen Shen
Na Zhang
Dong Liu
Ning Zhou
Yanru Feng
Jin Jiang
Ji Zhu
author_facet Peicheng Jiang
Jin Fan
Shenglin Huang
Luying Liu
Minghua Bai
Quanquan Sun
Jinwen Shen
Na Zhang
Dong Liu
Ning Zhou
Yanru Feng
Jin Jiang
Ji Zhu
author_sort Peicheng Jiang
collection DOAJ
description Background The heterogeneity of colorectal cancer (CRC) is the main cause of the disparity of drug sensitivity and the variability of prognosis. Pyroptosis is closely associated with the development and prognosis of various tumors, including CRC. Dividing CRC into distinct subgroups based on pyroptosis is a worthwhile topic for improving the precision treatment and prognosis prediction of CRC. Methods We classified patients into two clusters using the consensus clustering based on the pyroptosis-related genes (PRGs). Next, the prognostic signature was developed with LASSO regression analysis using the screened genes from differentially expressed genes (DEGs) by univariate and multivariate Cox analyses. According to the pyroptosis-related score (PR score) calculated with the signature, patients belonged to two groups with distinct prognosis. Moreover, we assessed the immune profile to explore the relationship between the signature and immunological characteristics. Two single cell sequencing databases were adopted for further exploration of tumor immune microenvironment (TME). In addition, we applied our own cohort and Drugbank to explore the correlation of the signature and clinical therapies. We also studied the expression of key genes by immunohistochemistry. Results The signature performed well in predicting the prognosis of CRC as the high area under curve (AUC) value demonstrated. Patients with a higher PR score had poorer prognosis and higher expression of immune checkpoints but more abundant infiltration of immune cells. Combining with the indicator of therapeutic analysis, they might benefit more from immune checkpoint blockade (ICB) and neo-adjuvant chemoradiotherapy (nCRT). Conclusion In conclusion, our study is based on genomics and transcriptomics to investigate the role of PRGs in CRC. We have established a prognostic signature and integrated single-cell data to study the relationship between the signature with the TME in CRC. Its clinical application in reliable prediction of prognosis and personalized treatment was validated by public and own sequencing cohort. It provided a new insight for the personalized treatment of CRC.
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spelling doaj.art-29d4747e483e4e598c21c19e67eed43d2023-12-21T15:05:22ZengPeerJ Inc.PeerJ2167-83592023-12-0111e1663110.7717/peerj.16631A pyroptosis-related signature in colorectal cancer: exploring its prognostic value and immunological characteristicsPeicheng Jiang0Jin Fan1Shenglin Huang2Luying Liu3Minghua Bai4Quanquan Sun5Jinwen Shen6Na Zhang7Dong Liu8Ning Zhou9Yanru Feng10Jin Jiang11Ji Zhu12Department of Radiation Oncology, Zhejiang Cancer Hospital, Hangzhou, ChinaDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, ChinaFudan University Shanghai Cancer Center and Institutes of Biomedical Sciences Fudan University, Shanghai, ChinaDepartment of Radiation Oncology, Zhejiang Cancer Hospital, Hangzhou, ChinaDepartment of Radiation Oncology, Zhejiang Cancer Hospital, Hangzhou, ChinaDepartment of Radiation Oncology, Zhejiang Cancer Hospital, Hangzhou, ChinaDepartment of Radiation Oncology, Zhejiang Cancer Hospital, Hangzhou, ChinaDepartment of Radiation Oncology, Zhejiang Cancer Hospital, Hangzhou, ChinaDepartment of Radiation Oncology, Zhejiang Cancer Hospital, Hangzhou, ChinaDepartment of Radiation Oncology, Zhejiang Cancer Hospital, Hangzhou, ChinaDepartment of Radiation Oncology, Zhejiang Cancer Hospital, Hangzhou, ChinaDepartment of Radiation Oncology, The First Hospital of Jiaxing Affiliated to Jiaxing University, Jiaxing, ChinaDepartment of Radiation Oncology, Zhejiang Cancer Hospital, Hangzhou, ChinaBackground The heterogeneity of colorectal cancer (CRC) is the main cause of the disparity of drug sensitivity and the variability of prognosis. Pyroptosis is closely associated with the development and prognosis of various tumors, including CRC. Dividing CRC into distinct subgroups based on pyroptosis is a worthwhile topic for improving the precision treatment and prognosis prediction of CRC. Methods We classified patients into two clusters using the consensus clustering based on the pyroptosis-related genes (PRGs). Next, the prognostic signature was developed with LASSO regression analysis using the screened genes from differentially expressed genes (DEGs) by univariate and multivariate Cox analyses. According to the pyroptosis-related score (PR score) calculated with the signature, patients belonged to two groups with distinct prognosis. Moreover, we assessed the immune profile to explore the relationship between the signature and immunological characteristics. Two single cell sequencing databases were adopted for further exploration of tumor immune microenvironment (TME). In addition, we applied our own cohort and Drugbank to explore the correlation of the signature and clinical therapies. We also studied the expression of key genes by immunohistochemistry. Results The signature performed well in predicting the prognosis of CRC as the high area under curve (AUC) value demonstrated. Patients with a higher PR score had poorer prognosis and higher expression of immune checkpoints but more abundant infiltration of immune cells. Combining with the indicator of therapeutic analysis, they might benefit more from immune checkpoint blockade (ICB) and neo-adjuvant chemoradiotherapy (nCRT). Conclusion In conclusion, our study is based on genomics and transcriptomics to investigate the role of PRGs in CRC. We have established a prognostic signature and integrated single-cell data to study the relationship between the signature with the TME in CRC. Its clinical application in reliable prediction of prognosis and personalized treatment was validated by public and own sequencing cohort. It provided a new insight for the personalized treatment of CRC.https://peerj.com/articles/16631.pdfPyroptosisColorectal cancerPrognosisImmunological characteristicspersonalized treatment
spellingShingle Peicheng Jiang
Jin Fan
Shenglin Huang
Luying Liu
Minghua Bai
Quanquan Sun
Jinwen Shen
Na Zhang
Dong Liu
Ning Zhou
Yanru Feng
Jin Jiang
Ji Zhu
A pyroptosis-related signature in colorectal cancer: exploring its prognostic value and immunological characteristics
PeerJ
Pyroptosis
Colorectal cancer
Prognosis
Immunological characteristics
personalized treatment
title A pyroptosis-related signature in colorectal cancer: exploring its prognostic value and immunological characteristics
title_full A pyroptosis-related signature in colorectal cancer: exploring its prognostic value and immunological characteristics
title_fullStr A pyroptosis-related signature in colorectal cancer: exploring its prognostic value and immunological characteristics
title_full_unstemmed A pyroptosis-related signature in colorectal cancer: exploring its prognostic value and immunological characteristics
title_short A pyroptosis-related signature in colorectal cancer: exploring its prognostic value and immunological characteristics
title_sort pyroptosis related signature in colorectal cancer exploring its prognostic value and immunological characteristics
topic Pyroptosis
Colorectal cancer
Prognosis
Immunological characteristics
personalized treatment
url https://peerj.com/articles/16631.pdf
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