Evidence map›Paper›PMID 36531956›Full record

ArticleFrontiers in cell and developmental biology2022

Characteristics of Adenosine-to-Inosine RNA editing-based subtypes and novel risk score for the prognosis and drug sensitivity in stomach adenocarcinoma.

Jingjing Pan, Xinyuan Gu, Jing Luo, Xinye Qian, Qiang Gao, Tianjie Li, Longying Ye, Chenlu Li

Open access · goldAbstract read
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Article in Frontiers in cell and developmental biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Jingjing PanThe Affiliated Yueqing Hospital of Wenzhou Medical University, Wenzhou, China.
Xinyuan GuRenji College of Wenzhou Medical University, Wenzhou, China.
Jing LuoSchool of Clinical Medicine, Tsinghua University, Beijing, China.
Xinye QianSchool of Clinical Medicine, Tsinghua University, Beijing, China.
Qiang GaoSchool of Clinical Medicine, Tsinghua University, Beijing, China.
Tianjie LiSchool of Clinical Medicine, Tsinghua University, Beijing, China.
Longying YeThe First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Chenlu LiDepartment of Gastroenterology, Affiliated Yueqing Hospital, Wenzhou Medical University, Wenzhou, China.
Tsinghua University · CNWenzhou Medical University · CNFirst Affiliated Hospital of Wenzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stomach adenocarcinoma (STAD) is always characterized by high mortality and poor prognosis with drug resistance and recrudescence due to individual genetic heterogeneity. Adenosine-to-Inosine RNA editing (ATIRE) has been reported associated with multiple tumors but the potential connection between ATIRE-related signatures and STAD remains unclear. In this study, we comprehensively elevated the genetic characteristics of ATIRE in STAD patients and first screened five vital survival-related ATIRE sites to identify a novel ATIRE-Risk score. Based on the risk scores, we further divided the patients into two different subtypes with diverse clinical characteristics and immune landscapes including immune cell infiltration (ICI), tumor microenvironment (TME), and immune checkpoint expression analysis. The low-risk subgroups, associated with better survival prognosis, were characterized by activated immune-cells, higher immune scores in TME, and down-expression of immunotherapy checkpoints. Moreover, different expressional genes (DEGs) between the above subtypes were further identified and the activation of immune-related pathways were found in low-risk patients. The stratified survival analysis further indicated patients with low-risk and high-tumor mutation burden (TMB) exhibited the best prognosis outcomes, implying the role of TMB and ATIRE-Risk scores was synergistic for the prognosis of STAD. Interestingly, anti-tumor chemotherapeutic drugs all exhibited lower IC50 values in low-risk subgroups, suggesting these patients might obtain a better curative response from the combined chemotherapy of STAD. Finally, combined with classical clinical features and ATIRE-Risk scores, we successfully established a promising nomogram system to accurately predict the 1/3/5-years survival ratio of STAD and this model was also estimated with high diagnostic efficiency and stable C-index with calibration curves. These significant ATIRE sites are promising to be further explored and might serve as a novel therapeutic target for STAD treatment.

Indexed as

Adenosine-to-Inosinestomach adenocarcinomasurvival prognosistherapeutical sensitivitytumor microenvironment

Identifiers

PMID36531956
PMCPMC9751817
OpenAlexW4310496847

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