Evidence map›Paper›PMID 38859852›Full record

ArticleAmerican journal of cancer research2024

RSAD2, a pyroptosis-related gene, predicts the prognosis and immunotherapy response for colorectal cancer.

Yunxiao Li, Qianqian Cui, Bin Zhou, Jiayu Zhang, Rong Guo, Yanyan Wang, Xinhua Xu

Abstract read
In one paragraph

Article in American journal of cancer research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Yunxiao LiDepartment of Oncology, The First College of Clinical Medical Science, China Three Gorges University/Yichang Central People's Hospital Yichang 443000, Hubei, China.
Qianqian CuiDepartment of Pharmacy, The First College of Clinical Medical Science, China Three Gorges University/Yichang Central People's Hospital Yichang 443000, Hubei, China.
Bin ZhouUnion Hospital, Tongji Medical College, Huazhong University of Science and Technology Wuhan 430000, Hubei, China.
Jiayu ZhangDepartment of Oncology, The First College of Clinical Medical Science, China Three Gorges University/Yichang Central People's Hospital Yichang 443000, Hubei, China.
Rong GuoDepartment of Oncology, The First College of Clinical Medical Science, China Three Gorges University/Yichang Central People's Hospital Yichang 443000, Hubei, China.
Yanyan WangDepartment of Pharmacy, The First College of Clinical Medical Science, China Three Gorges University/Yichang Central People's Hospital Yichang 443000, Hubei, China.
Xinhua XuDepartment of Oncology, The First College of Clinical Medical Science, China Three Gorges University/Yichang Central People's Hospital Yichang 443000, Hubei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer (CRC) is among the most prevalent malignant tumors, known for its high heterogeneity. Although many treatments and medications are available, the long-term survival rate of CRC patients is far from satisfactory. Pyroptosis is closely related to tumor progression. This study aimed to identify pyroptosis-related genes (PRGs) and candidate biomarkers to predict the prognosis of CRC patients. Used bioinformatics, we identified PRGs and subsequently screened 288 co-expression genes between pyroptosis-related modules and differentially expressed genes in CRC. Among these hub genes, we selected the top 24 for further analysis and found that Radical S-Adenosyl Methionine Domain Containing 2 (RSAD2) was a novel biomarker associated with the progression of CRC. We developed a risk model for RSAD2, which proved to be an independent prognostic indicator. The receiver operator characteristic analysis showed that the model had an acceptable prognostic value for patients with CRC. In addition, RSAD2 also affects the tumor immune microenvironment and prognosis of CRC. We further validated RSAD2 expression in CRC patients using RT-qPCR and the role of RSAD2 in pyroptosis. Taken together, this study comprehensively assessed the expression and prognostic value of RSAD2 in patients with CRC. These findings may offer a new direction for early CRC screening and development of future immunotherapy strategies.

Indexed as

Colorectal cancerprognosispyroptosisRSAD2tumor microenvironment

Identifiers

PMID38859852
PMCPMC11162672

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.