Evidence map›Paper›PMID 39654888›Full record

ArticleFrontiers in immunology2024

IAPP blocks anti-breast cancer function of CD8

Dandan Guo, Zhijian Huang, Qianqian Wang, Wei Chen, Yu Huang, Xinhao Sun, Jian Chen, Shuying Feng

Abstract read
In one paragraph

Article in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

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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

4 citing papers in PubMed.

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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

8 authors.

Dandan Guo *Medical College, Henan University of Chinese Medicine, Zhengzhou, China.
Zhijian Huang *Department of Breast Surgical Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China.
Qianqian WangMedical College, Henan University of Chinese Medicine, Zhengzhou, China.
Wei ChenMedical College, Henan University of Chinese Medicine, Zhengzhou, China.
Yu HuangMedical College, Henan University of Chinese Medicine, Zhengzhou, China.
Xinhao SunDepartment of Thyroid and Breast Surgery, Ningde Municipal Hospital of Ningde Normal University, Ningde, China.
Jian ChenDepartment of Breast Surgical Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China.
Shuying FengMedical College, Henan University of Chinese Medicine, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Breast cancer (BRCA) is the most prevalent type of cancer worldwide. As a highly heterogeneous cancer, it has a high recurrence rate. Since its biological behavior can be regulated by immunity and cuprotosis, so exploring potential therapeutic target to mediate immunity and cuprotosis is of great significance for BRCA therapy. Methods: The immune-related genes and immune-cuprotosis-related deferentially expressed genes (ICR-DEGs) were identified by mining the TCGA database. Prognostic analysis, differential expression analysis, univariate and lasso regression analyses were used to determine their independent prognostic values. To evaluate the relationship between ICR-DEGs and immune scores, we constructed a prognostic risk model to evaluate immune checkpoints, and then the role of tumor immune microenvironment in BRCA was explored. Furthermore, anti-BRCA function and mechanism of islet amyloid poly-peptide (IAPP) mediated CD8 Results: All results suggested that immune-cuprotosis-related genes were a potential predictor of BRCA's response to immune checkpoint inhibitors and immunotherapy biomarkers. Thereby downregulation of IAPP reduced cuprotosis of CD8 Conclusion: Our research had clarified the function and mechanism of IAPP in CD8

Indexed as

Breast NeoplasmsCD8-Positive T-LymphocytesTumor MicroenvironmentAnimalsBiomarkers, TumorCell Line, TumorFemaleGene Expression Regulation, NeoplasticHumansMicePrognosisXenograft Model Antitumor AssaysBiomarkers, Tumorbiomarkersbreast cancercuprotosisIAPPICR-DEGs

Identifiers

PMID39654888
PMCPMC11625781

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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.