Evidence map›Paper›PMID 38680855›Full record

ArticleFrontiers in oncology2024

Nucleic acid-sensing-related gene signature in predicting prognosis and treatment efficiency of small cell lung cancer patients.

Qianshi Liu, Zhaoshen Li, Na Li, Junjie Liu, Hong Wu, Jie Chen

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PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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

6 authors.

Qianshi Liu *Department of Hepatobiliary Surgery, Affiliated Cancer Hospital of Guangxi Medical University, Nanning, China.
Zhaoshen Li *Department of Hepatobiliary Surgery, Affiliated Cancer Hospital of Guangxi Medical University, Nanning, China.
Na LiShenzhen Engineering Center for Translational Medicine of Precision Cancer Immunodiagnosis and Therapy, YuceBio Technology Co., Ltd, Shenzhen, China.
Junjie LiuDepartment of Hepatobiliary Surgery, Affiliated Cancer Hospital of Guangxi Medical University, Nanning, China.
Hong WuDepartment of Oncology and Cancer Institute, Sichuan Academy of Medical Sciences, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Jie ChenDepartment of Hepatobiliary Surgery, Affiliated Cancer Hospital of Guangxi Medical University, Nanning, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Nucleic acid-sensing (NAS) pathways could induce innate and adaptive immune responses. However, rare evidence exhibited how the core genes of the NAS pathways affected the immune response and prognosis of small cell lung cancer (SCLC) patients. Methods: We conducted a comprehensive bioinformatic analysis based on the RNA profiles of 114 SCLC patients, including 79 from cBioPortal, 21 from GSE30219, and 14 from our sequencing data. The multiplex immunohistochemistry (mIHC) was used to characterize the role of NAS related genes in the tumor microenvironment (TME) of SCLC. Results: A prognostic model (7NAS risk model) was constructed based on 7 NAS-related genes which was demonstrated as an independent prognostic index. The low-risk group was identified to have a better prognosis and an immune-activated microenvironment in both the public datasets and our dataset. Intriguingly, mIHC data showed that CD45 Conclusion: Conclusively, this study created a new risk model based on genes associated with NAS pathways which could predict the prognosis and response of treatment in patients with SCLC.

Indexed as

multiplex immunohistochemistrynucleic acid sensing-related genesprognostic signaturesmall cell lung cancertumor microenvironment

Identifiers

PMID38680855
PMCPMC11045993

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