A Bioinformatics-based Study Investigating the Crrelation Between RGS22 Expression and Immune Cell Infiltration in Lung Adenocarcinoma

Fan Cuihua; Qiu Dongbiao; Zhang Jiandong

doi:doi:10.11648/j.sr.20261405.14

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A Bioinformatics-based Study Investigating the Crrelation Between RGS22 Expression and Immune Cell Infiltration in Lung Adenocarcinoma

Fan Cuihua^*

, Qiu Dongbiao

, Zhang Jiandong

Published in Science Research (Volume 14, Issue 5)

Received: 8 July 2026 Accepted: 24 August 2026 Published: 4 September 2026

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Abstract

Objective To investigate the correlation between regulator of G protein signaling 22 (RGS22) and immune cell infiltration in lung adenocarcinoma (LUAD) through bioinformatics analysis, it is to identify novel potential biomarkers for auxiliary diagnosis and therapy. Methods Gene expression data and relevant clinical data were downloaded from The Cancer Genome Atlas (TCGA) database to analyze the correlation between RGS22 expression and tumor immune cell infiltration in LUAD. In addition, external validation in an independent cohort was performed using public datasets from the Gene Expression Omnibus (GEO). Results The study found that RGS22 was downregulated in LUAD tumor tissues, which was associated with shorter overall survival in patients. This results were validated in both the TCGA cohort (n = 527, P = 0.004) and the GEO cohort (n = 398, P = 3.01×10^-6). The expression of RGS22 was positively correlated with the infiltration levels of various immune cells, including dendritic cells and CD4⁺ T cells. Therefore, these findings revealed that RGS22 influences the prognosis of LUAD by affecting the infiltration levels of immune cells. Conclusion RGS22 maybe become a new biomarker for the early diagnosis and prognosis of LUAD.

Published in	Science Research (Volume 14, Issue 5)
DOI	10.11648/j.sr.20261405.14
Page(s)	286-295
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2026. Published by Science Publishing Group

Keywords

Lung Adenocarcinoma, Regulator of G-Protein Signaling 22, Bioinformatics, Immune-infiltrating Cells, Prognosis, Biomarker

References

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APA Style

Cuihua, F., Dongbiao, Q., Jiandong, Z. (2026). A Bioinformatics-based Study Investigating the Crrelation Between RGS22 Expression and Immune Cell Infiltration in Lung Adenocarcinoma. Science Research, 14(5), 286-295. https://doi.org/10.11648/j.sr.20261405.14

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ACS Style

Cuihua, F.; Dongbiao, Q.; Jiandong, Z. A Bioinformatics-based Study Investigating the Crrelation Between RGS22 Expression and Immune Cell Infiltration in Lung Adenocarcinoma. Sci. Res. 2026, 14(5), 286-295. doi: 10.11648/j.sr.20261405.14

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AMA Style

Cuihua F, Dongbiao Q, Jiandong Z. A Bioinformatics-based Study Investigating the Crrelation Between RGS22 Expression and Immune Cell Infiltration in Lung Adenocarcinoma. Sci Res. 2026;14(5):286-295. doi: 10.11648/j.sr.20261405.14

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@article{10.11648/j.sr.20261405.14,
  author = {Fan Cuihua and Qiu Dongbiao and Zhang Jiandong},
  title = {A Bioinformatics-based Study Investigating the Crrelation Between RGS22 Expression and Immune Cell Infiltration in Lung Adenocarcinoma},
  journal = {Science Research},
  volume = {14},
  number = {5},
  pages = {286-295},
  doi = {10.11648/j.sr.20261405.14},
  url = {https://doi.org/10.11648/j.sr.20261405.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sr.20261405.14},
  abstract = {Objective To investigate the correlation between regulator of G protein signaling 22 (RGS22) and immune cell infiltration in lung adenocarcinoma (LUAD) through bioinformatics analysis, it is to identify novel potential biomarkers for auxiliary diagnosis and therapy. Methods Gene expression data and relevant clinical data were downloaded from The Cancer Genome Atlas (TCGA) database to analyze the correlation between RGS22 expression and tumor immune cell infiltration in LUAD. In addition, external validation in an independent cohort was performed using public datasets from the Gene Expression Omnibus (GEO). Results The study found that RGS22 was downregulated in LUAD tumor tissues, which was associated with shorter overall survival in patients. This results were validated in both the TCGA cohort (n = 527, P = 0.004) and the GEO cohort (n = 398, P = 3.01×10-6). The expression of RGS22 was positively correlated with the infiltration levels of various immune cells, including dendritic cells and CD4+ T cells. Therefore, these findings revealed that RGS22 influences the prognosis of LUAD by affecting the infiltration levels of immune cells. Conclusion RGS22 maybe become a new biomarker for the early diagnosis and prognosis of LUAD.},
 year = {2026}
}

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TY  - JOUR
T1  - A Bioinformatics-based Study Investigating the Crrelation Between RGS22 Expression and Immune Cell Infiltration in Lung Adenocarcinoma
AU  - Fan Cuihua
AU  - Qiu Dongbiao
AU  - Zhang Jiandong
Y1  - 2026/09/04
PY  - 2026
N1  - https://doi.org/10.11648/j.sr.20261405.14
DO  - 10.11648/j.sr.20261405.14
T2  - Science Research
JF  - Science Research
JO  - Science Research
SP  - 286
EP  - 295
PB  - Science Publishing Group
SN  - 2329-0927
UR  - https://doi.org/10.11648/j.sr.20261405.14
AB  - Objective To investigate the correlation between regulator of G protein signaling 22 (RGS22) and immune cell infiltration in lung adenocarcinoma (LUAD) through bioinformatics analysis, it is to identify novel potential biomarkers for auxiliary diagnosis and therapy. Methods Gene expression data and relevant clinical data were downloaded from The Cancer Genome Atlas (TCGA) database to analyze the correlation between RGS22 expression and tumor immune cell infiltration in LUAD. In addition, external validation in an independent cohort was performed using public datasets from the Gene Expression Omnibus (GEO). Results The study found that RGS22 was downregulated in LUAD tumor tissues, which was associated with shorter overall survival in patients. This results were validated in both the TCGA cohort (n = 527, P = 0.004) and the GEO cohort (n = 398, P = 3.01×10-6). The expression of RGS22 was positively correlated with the infiltration levels of various immune cells, including dendritic cells and CD4+ T cells. Therefore, these findings revealed that RGS22 influences the prognosis of LUAD by affecting the infiltration levels of immune cells. Conclusion RGS22 maybe become a new biomarker for the early diagnosis and prognosis of LUAD.
VL  - 14
IS  - 5
ER  -

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Author Information

Fan Cuihua

Department of Blood Transfusion, the First Affiliated Hospital of Fujian Medical University, Fuzhou, China;Department of Blood Transfusion, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China

Contact Email

http://orcid.org/0009-0008-5531-8565
Qiu Dongbiao

Department of Blood Transfusion, the First Affiliated Hospital of Fujian Medical University, Fuzhou, China;Department of Blood Transfusion, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China

Contact Email

http://orcid.org/0009-0005-1677-2325
Zhang Jiandong

The Center of Information, the First Affiliated Hospital of Fujian Medical University, Fuzhou, China;The Center of Information, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China

Contact Email

http://orcid.org/0009-0005-6685-4978

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APA Style

Cuihua, F., Dongbiao, Q., Jiandong, Z. (2026). A Bioinformatics-based Study Investigating the Crrelation Between RGS22 Expression and Immune Cell Infiltration in Lung Adenocarcinoma. Science Research, 14(5), 286-295. https://doi.org/10.11648/j.sr.20261405.14

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ACS Style

Cuihua, F.; Dongbiao, Q.; Jiandong, Z. A Bioinformatics-based Study Investigating the Crrelation Between RGS22 Expression and Immune Cell Infiltration in Lung Adenocarcinoma. Sci. Res. 2026, 14(5), 286-295. doi: 10.11648/j.sr.20261405.14

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AMA Style

Cuihua F, Dongbiao Q, Jiandong Z. A Bioinformatics-based Study Investigating the Crrelation Between RGS22 Expression and Immune Cell Infiltration in Lung Adenocarcinoma. Sci Res. 2026;14(5):286-295. doi: 10.11648/j.sr.20261405.14

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@article{10.11648/j.sr.20261405.14,
  author = {Fan Cuihua and Qiu Dongbiao and Zhang Jiandong},
  title = {A Bioinformatics-based Study Investigating the Crrelation Between RGS22 Expression and Immune Cell Infiltration in Lung Adenocarcinoma},
  journal = {Science Research},
  volume = {14},
  number = {5},
  pages = {286-295},
  doi = {10.11648/j.sr.20261405.14},
  url = {https://doi.org/10.11648/j.sr.20261405.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sr.20261405.14},
  abstract = {Objective To investigate the correlation between regulator of G protein signaling 22 (RGS22) and immune cell infiltration in lung adenocarcinoma (LUAD) through bioinformatics analysis, it is to identify novel potential biomarkers for auxiliary diagnosis and therapy. Methods Gene expression data and relevant clinical data were downloaded from The Cancer Genome Atlas (TCGA) database to analyze the correlation between RGS22 expression and tumor immune cell infiltration in LUAD. In addition, external validation in an independent cohort was performed using public datasets from the Gene Expression Omnibus (GEO). Results The study found that RGS22 was downregulated in LUAD tumor tissues, which was associated with shorter overall survival in patients. This results were validated in both the TCGA cohort (n = 527, P = 0.004) and the GEO cohort (n = 398, P = 3.01×10-6). The expression of RGS22 was positively correlated with the infiltration levels of various immune cells, including dendritic cells and CD4+ T cells. Therefore, these findings revealed that RGS22 influences the prognosis of LUAD by affecting the infiltration levels of immune cells. Conclusion RGS22 maybe become a new biomarker for the early diagnosis and prognosis of LUAD.},
 year = {2026}
}

Copy | Download

TY  - JOUR
T1  - A Bioinformatics-based Study Investigating the Crrelation Between RGS22 Expression and Immune Cell Infiltration in Lung Adenocarcinoma
AU  - Fan Cuihua
AU  - Qiu Dongbiao
AU  - Zhang Jiandong
Y1  - 2026/09/04
PY  - 2026
N1  - https://doi.org/10.11648/j.sr.20261405.14
DO  - 10.11648/j.sr.20261405.14
T2  - Science Research
JF  - Science Research
JO  - Science Research
SP  - 286
EP  - 295
PB  - Science Publishing Group
SN  - 2329-0927
UR  - https://doi.org/10.11648/j.sr.20261405.14
AB  - Objective To investigate the correlation between regulator of G protein signaling 22 (RGS22) and immune cell infiltration in lung adenocarcinoma (LUAD) through bioinformatics analysis, it is to identify novel potential biomarkers for auxiliary diagnosis and therapy. Methods Gene expression data and relevant clinical data were downloaded from The Cancer Genome Atlas (TCGA) database to analyze the correlation between RGS22 expression and tumor immune cell infiltration in LUAD. In addition, external validation in an independent cohort was performed using public datasets from the Gene Expression Omnibus (GEO). Results The study found that RGS22 was downregulated in LUAD tumor tissues, which was associated with shorter overall survival in patients. This results were validated in both the TCGA cohort (n = 527, P = 0.004) and the GEO cohort (n = 398, P = 3.01×10-6). The expression of RGS22 was positively correlated with the infiltration levels of various immune cells, including dendritic cells and CD4+ T cells. Therefore, these findings revealed that RGS22 influences the prognosis of LUAD by affecting the infiltration levels of immune cells. Conclusion RGS22 maybe become a new biomarker for the early diagnosis and prognosis of LUAD.
VL  - 14
IS  - 5
ER  -

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