Evidence map›Paper›PMID 35558081›Full record

ArticleFrontiers in immunology2022

Development of a Novel Immune-Related Gene Prognostic Index for Breast Cancer.

Yan Yao, Xinru Kong, Ruijuan Liu, Fei Xu, Gongxi Liu, Changgang Sun

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.0field-weighted citation impact, top 11% 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

14 citing papers in PubMed, 19 citations in OpenAlex.

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  9. Value of negatively correlated miR-205-5p/Cancer pathogenesis and therapy · 2023
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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 at 2 institutions in 1 country.

Yan YaoCollege of First Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China.
Xinru KongInnovative Institute of Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China.
Ruijuan LiuDepartment of Oncology, Weifang Traditional Chinese Hospital, Weifang, China.
Fei XuDepartment of Geriatric Medicine, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China.
Gongxi LiuDepartment of Oncology, Weifang Traditional Chinese Hospital, Weifang, China.
Changgang SunInnovative Institute of Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China.
Shandong University of Traditional Chinese Medicine · CNWeifang Chinese Medicine Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To construct an immune-related gene prognostic index (IRGPI) for breast cancer (BC) and investigate its prognostic specificity and the molecular and immune characteristics. Methods: BC hub genes were identified from The Cancer Genome Atlas and immune-related databases using weighted gene co-expression network analysis (WGCNA). IRGPI was constructed using univariate, LASSO, and multivariate regression analyses, and was validated with GSE58812 and GSE97342 in the Gene Expression Omnibus database (GEO). At the same time, we evaluated the predictive ability of IRGPI for different BC subtypes. Subsequently, the molecular and immune characteristics, clinical relevance, and benefits of immune checkpoint inhibitor treatment were analyzed for different IRGPI subgroups. Results: IRGPI consisted of six genes: SOCS3, TCF7L2, TSLP NPR3, ANO6, and HMGB3. The IRGPI 1-, 5-, and 10-years area under curve (AUC) values were 0.635, 0.752, and 0.753, respectively, indicating that IRGPI has good potential in predicting the long-term survival of BC patients, consistent with the results in the GEO cohort. IRGPI showed good predictive power in four different breast cancer subtypes: ER positive, PR positive, HER2 positive and triple-negative ( Conclusion: IRGPI can be used as an independent prognostic indicator of breast cancer, providing a method for monitoring the long-term treatment of BC.

Indexed as

Breast NeoplasmsFemaleHumansImmune Checkpoint InhibitorsPrognosisImmune Checkpoint Inhibitorsbreast cancerimmune checkpoint inhibitorimmune-related genesprognostic indexWGCNA

Identifiers

PMID35558081
PMCPMC9086776
OpenAlexW4285742345

What OpenQuestion holds

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Registered trials

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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.