Unraveling the regulatory cell death pathways in gastric cancer: a multi-omics study

Gastric cancer (GC) is a prevalent form of cancer worldwide and has a high death rate, with less than 40% of patients surviving for 5 years. GC demonstrates a vital characteristic of evading regulatory cell death (RCD). However, the extent to which RCD patterns are clinically significant in GC has not been well investigated. The study created a regulatory cell death index (RCDI) signature by employing 101 machine-learning algorithms. These algorithms were based on the expression files of 1292 GC patients from 6 multicenter cohorts. RCDI is a reliable and robust determinant of the likelihood of surviving in general. Furthermore, the precision of RCDI surpasses that of the 20 signatures that have been previously disclosed. The presence of RCDI signature is closely linked to immunological characteristics, such as the infiltration of immune cells, the presence of immunotherapy markers, and the activation of immune-related functions. This suggests that there is a higher level of immune activity in cases with RCDI signature. Collectively, the use of RCDI has the potential to be a strong and encouraging method for enhancing the clinical results of individual individuals with GC.

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Publication Details

Journal
Frontiers in Pharmacology
Published
2024-09-09
DOI
https://doi.org/10.3389/fphar.2024.1447970
Citations
2
Primary Topic
Ferroptosis and cancer prognosis
Type
article
Field-Weighted Citation Impact
0.84
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article

Unraveling the regulatory cell death pathways in gastric cancer: a multi-omics study

Sirui Zhou, Yalu Sun, Yulan Zeng, Jiazheng Sun et al.
2 citations
Frontiers in Pharmacology
Ferroptosis and cancer prognosis
0.84
article

Unraveling the regulatory cell death pathways in gastric cancer: a multi-omics study

Sirui Zhou, Yalu Sun, Yulan Zeng, Jiazheng Sun, L. Vijaya Mohan Rao
article en
2 citations

Abstract

Gastric cancer (GC) is a prevalent form of cancer worldwide and has a high death rate, with less than 40% of patients surviving for 5 years. GC demonstrates a vital characteristic of evading regulatory cell death (RCD). However, the extent to which RCD patterns are clinically significant in GC has not been well investigated. The study created a regulatory cell death index (RCDI) signature by employing 101 machine-learning algorithms. These algorithms were based on the expression files of 1292 GC patients from 6 multicenter cohorts. RCDI is a reliable and robust determinant of the likelihood of surviving in general. Furthermore, the precision of RCDI surpasses that of the 20 signatures that have been previously disclosed. The presence of RCDI signature is closely linked to immunological characteristics, such as the infiltration of immune cells, the presence of immunotherapy markers, and the activation of immune-related functions. This suggests that there is a higher level of immune activity in cases with RCDI signature. Collectively, the use of RCDI has the potential to be a strong and encouraging method for enhancing the clinical results of individual individuals with GC.

Frontiers in PharmacologyVol. 15
Affiliated Hospital of Jining Medical University (CN), Huazhong University of Science and Technology (CN)
Good health and well-being
Openalex Percentile: Top 24%
Ferroptosis and cancer prognosis
0.84
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