Evidence map›Paper›PMID 37750170›Full record

ArticleJournal of inflammation research2023

GBP5 Expression Predicted Prognosis of Immune Checkpoint Inhibitors in Small Cell Lung Cancer and Correlated with Tumor Immune Microenvironment.

Qin Tong, Deyu Li, Yan Yin, Lifang Cheng, Shuming Ouyang

Open access · goldAbstract read
In one paragraph

Article in Journal of inflammation research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.8field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. iScience · 2026
    Article
  3. Article
  4. Article
  5. Review
  6. Multifaceted Roles of Guanylate-Binding Proteins in Cancer.International journal of molecular sciences · 2025
    Review
  7. Article
  8. Article
  9. Review
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

5 authors at 3 institutions in 1 country.

Qin Tong *Department of Oncology, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, People's Republic of China.
Deyu Li *Department of Medical Oncology, Provincial Clinical College, Fujian Medical University, Fujian Provincial Hospital, Fuzhou, People's Republic of China.
Yan YinDepartment of Oncology, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, People's Republic of China.
Lifang ChengDepartment of Hematology, Shenzhen Samii Medical Center, Shenzhen, People's Republic of China.
Shuming OuyangGynecology & Obstetrics and Reproductive Medical Center, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, People's Republic of China.
University of South China · CNFujian Medical University · CNShenzhen Genoimmune Medical Institute · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The discovery and development of immune checkpoint inhibitors (ICIs) has significantly enhanced the arsenal of immunotherapy treatments available for cancer patients. The identification of biomarkers that are indicative of an individual's sensitivity to treatment with ICIs is useful for screening SCLC patients prior to commencement of any ICIs based immunotherapy. However, the relationship between GBP5 and the prognosis of SCLC immunotherapy is still unclear and requires further study. Methods: We downloaded two SCLC datasets, namely the George-SCLC and Jiang-SCLC cohorts. We used the TIDE algorithm to predict the efficacy of immunotherapy for SCLC patients. The QuanTIseq, MCPcounter, and EPIC algorithms are used to calculate the proportions of immune cells in SCLC patients. Additionally, we retrospectively collected 35 SCLC samples from the first affiliated hospital of the Hengyang Medical school. Results: Patients in each cohort were devided into two groups with high (GBP5-High) and low (GBP5-Low) expression of GBP5. In both cohorts, the GBP5-High population had a higher proportion of patients that responded well to immunotherapy (responders) (p < 0.05). In addition, both GBP5-High subgroups had significantly increased cytotoxicity, chemokines, antigen presenting, and TNF family related genes. We also determined that GBP5 was related to high-level infiltration of B cells, CD4+T cells, CD8+T cells and NK cells. Conclusion: In this study, we found that GBP5 has the potential to be used as a biomarker of ICIs efficacy for SCLC patients. GBP5 is related to the quantity of inflammatory molecules, a high level of immune infiltration, and a highly activated immune response pathway.

Indexed as

GBP5immune checkpoint inhibitorsprognosissmall cell lung cancertumor immune microenvironment

Identifiers

PMID37750170
PMCPMC10518156
OpenAlexW4386898096

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.