Evidence map›Paper›PMID 35261895›Full record

ArticleTranslational cancer research2022

A novel immune checkpoint-related gene signature for predicting overall survival and immune status in triple-negative breast cancer.

Jingyi Liu, Yuwei Ling, Ning Su, Yan Li, Siyuan Tian, Bingxin Hou, Shanquan Luo, Lina Zhao, Mei Shi

Open access · diamondAbstract read
In one paragraph

Article in Translational cancer research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.9field-weighted citation impact, top 22% 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

10 citing papers in PubMed, 11 citations in OpenAlex.

  1. Pan-cancer analysis reveals the prognostic and immunomodulatory potential of super-enhancer-induced ANGPT2 and experimental validation in colorectal cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
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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

9 authors at 3 institutions in 1 country.

Jingyi Liu *Department of Radiation Oncology, Xijing Hospital, The Fourth Military Medical University, Xi'an, China.
Yuwei Ling *Center for Thyroid and Breast Surgery, Department of General Surgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
Ning SuDepartment of Radiation Oncology, Xijing Hospital, The Fourth Military Medical University, Xi'an, China.
Yan LiDepartment of Radiation Oncology, Xijing Hospital, The Fourth Military Medical University, Xi'an, China.
Siyuan TianState Key Laboratory of Cancer Biology, Xijing Hospital of Digestive Diseases, The Fourth Military Medical University, Xi'an, China.
Bingxin HouDepartment of Radiation Oncology, Xijing Hospital, The Fourth Military Medical University, Xi'an, China.
Shanquan LuoDepartment of Radiation Oncology, Xijing Hospital, The Fourth Military Medical University, Xi'an, China.
Lina ZhaoDepartment of Radiation Oncology, Xijing Hospital, The Fourth Military Medical University, Xi'an, China.
Mei ShiDepartment of Radiation Oncology, Xijing Hospital, The Fourth Military Medical University, Xi'an, China.
Air Force Medical University · CNXijing Hospital · CNCapital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Triple-negative breast cancer (TNBC) is a highly aggressive subtype and only some of patients could benefit from the immunotherapy. The present study aims to investigate the expression pattern and prognostic value of immune checkpoint genes (ICGs) in TNBC and develop a novel ICGs-signature to predict the prognosis and immune status in TNBC. Methods: ICGs expression profiles and clinical characteristics of TNBC samples were obtained from The Cancer Genome Atlas (TCGA) and the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) database. The least absolute shrinkage and selection operator (LASSO) Cox regression analysis was employed to construct a multi-gene signature for predicting the prognostic outcome. The risk scores were calculated based on the coefficients of each ICG in LASSO-Cox regression model. The median score was considered as the cut-off value to divide the TNBC patients into a high-risk group and a low-risk group. The Kaplan-Meier survival curves were generated to further explore the association between the risk scores and prognostic outcomes. Finally, single sample gene set enrichment analysis (ssGSEA) was conducted to evaluate the immune status and immunophenoscore (IPS) score was used for the quantitative evaluation of tumor immunogenicity. Results: Conclusions: A novel ICGs-signature was developed and validated, which may be not only served as a robust prognostic marker, but also a potential indicator reflecting immunotherapy response.

Indexed as

Immune checkpoint-related genes (ICRGs)immune statusimmunotherapyoverall survival (OS)triple-negative breast cancer (TNBC)

Identifiers

PMID35261895
PMCPMC8841573
OpenAlexW4205391505

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.