Evidence map›Paper›PMID 38993569›Full record

ArticleInternational journal of biological sciences2024

A High Immune-Related Index with the Suppression of cGAS-STING Pathway is a Key Determinant to Herceptin Resistance in HER2+ Breast Cancer.

Ruizhao Cai, Qingshan Chen, Dechang Zhao, Yan Wang, Ling Zhou, Kaiming Zhang, Jialu Shan, Zhiling Li, Yuhong Chen, Hailiang Zhang and 4 more

Abstract read
In one paragraph

Article in International journal of biological sciences, 2024. 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
–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

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.

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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

14 authors.

Ruizhao CaiDepartment of Breast Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.
Qingshan ChenDepartment of Breast Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.
Dechang ZhaoDepartment of Breast Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.
Yan WangDepartment of Breast Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.
Ling ZhouState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Kaiming ZhangDepartment of Breast Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.
Jialu ShanState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Zhiling LiState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Yuhong ChenState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Hailiang ZhangState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Gongkan FengState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Xiaofeng ZhuState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Rong DengState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Jun TangDepartment of Breast Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Resistance to HER2-targeted therapy is the major cause of treatment failure in patients with HER2+ breast cancer (BC). Given the key role of immune microenvironment in tumor development, there is a lack of an ideal prognostic model that fully accounts for immune infiltration. In this study, WGCNA analysis was performed to discover the relationship between immune-related signaling and prognosis of HER2+ BC. After Herceptin-resistant BC cell lines established, transcriptional profiles of resistant cell line and RNA-sequencing data from GSE76360 cohort were analyzed for candidate genes. 85 samples of HER2+ BC from TCGA database were analyzed by the Cox regression, XGBoost and Lasso algorithm to generalize a credible immune-related prognostic index (IRPI). Correlations between the IRPI signature and tumor microenvironment were further analyzed by multiple algorithms, including single-cell RNA sequencing data analysis. Patients with high IRPI had suppressive tumor immune microenvironment and worse prognosis. The suppression of type I interferon signaling indicated by the IRPI in Herceptin-resistant HER2+ BC was validated. And we elucidated that the suppression of cGAS-STING pathway is the key determinant underlying immune escape in Herceptin-resistant BC with high IRPI. A combination of STING agonist and DS-8201 could serve as a new strategy for Herceptin-resistant HER2+ BC.

Indexed as

Breast NeoplasmsDrug Resistance, NeoplasmErb-b2 Receptor Tyrosine KinasesMembrane ProteinsNucleotidyltransferasesTrastuzumabTumor MicroenvironmentCell Line, TumorCyclic Guanosine Monophosphate-Adenosine Monophosphate SynthaseFemaleGene Expression Regulation, NeoplasticHumansPrognosisSignal TransductionSTING ProteincGAS protein, humanCyclic Guanosine Monophosphate-Adenosine Monophosphate SynthaseERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesMembrane ProteinsNucleotidyltransferasesSTING1 protein, humanSTING ProteinTrastuzumabHER2+ breast cancerHerceptin-resistanceprognostic signature

Identifiers

PMID38993569
PMCPMC11234227

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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.