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ArticleNaunyn-Schmiedeberg's archives of pharmacology2026

Integrative single-cell transcriptomics and co-expression network analysis identify SIMALR as a prognostic immune-related lncRNA in breast cancer: in silico analysis and validation.

Fatemeh Balangi, Pouria Samadi, Fatemeh Maghool, Hamid Daneshvar, Maryam Tabatabaeian, Elham Amjadi, Farnaz Sedghy

Abstract readValidation Study
PubMed Publisher
In one paragraph

Article in Naunyn-Schmiedeberg's archives of pharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Fatemeh BalangiDepartment of Medical Immunology, Afzalipour Faculty of Medicine, Kerman University of Medical Sciences, Kerman, Iran.
Pouria SamadiPoursina Hakim Digestive Diseases Research Center, Isfahan University of Medical Sciences, Isfahan, Iran. pouriasamadi71@gmail.com.ORCID http://orcid.org/0000-0002-1162-4957
Fatemeh MaghoolPoursina Hakim Digestive Diseases Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Hamid DaneshvarDepartment of Medical Immunology, Afzalipour Faculty of Medicine, Kerman University of Medical Sciences, Kerman, Iran.
Maryam TabatabaeianBreast Surgeon, Anahid Clinic, Isfahan, Iran.
Elham AmjadiPoursina Hakim Digestive Diseases Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Farnaz SedghyDepartment of Medical Immunology, Afzalipour Faculty of Medicine, Kerman University of Medical Sciences, Kerman, Iran. fsedghy@gmail.com.ORCID http://orcid.org/0000-0001-7436-9116

Funding

Kerman University of Medical Sciences 403000323
6 · The paper itself

Abstract

This study aimed to identify and characterize irlncRNAs associated with prognosis and immune modulation in breast cancer. We integrated single-cell RNA sequencing, hdWGCNA, and bulk RNA-seq differential expression analysis results to identify candidate irlncRNAs. The top candidate, SIMALR, was further investigated using immune, survival, mutation analysis, and GSEA. RT-qPCR preliminary validation was performed on patient tissues. SIMALR was linked to favorable survival and enriched in immune pathways, including T-cell receptor signaling, Natural Killer (NK) cell cytotoxicity, and antigen processing. Pearson analysis showed co-expression of SIMALR-related genes (CD8A, CD4, TNF, LCP2, ITGB2) in key immune populations. High SIMALR As per standard instruction, "Statement of Significance" section should not be captured. Hence, the "Clinical significance" section was deleted. Please check and confirm if presented correctly; otherwise, please amend. expression in tumor cells is associated with enhanced secretion of Th1-attracting chemokines (CXCL9/10/11, CCL5), recruitment of CD8 + T cells, activated dendritic cells, and both M1/M2 macrophages. RT-qPCR confirmed higher SIMALR expression in tumors. Due to limited availability of clinical specimens, the RT-qPCR analysis was performed on paired tissue samples from six patients, and therefore the results should be considered a preliminary validation. SIMALR may contribute to anti-tumor immunity, highlighting its potential as a promising biomarker and therapeutic target in breast cancer.

Indexed as

Biomarkers, TumorBreast NeoplasmsRNA, Long NoncodingTranscriptomeFemaleGene Expression Regulation, NeoplasticHumansPrognosisSingle-Cell AnalysisSingle-Cell Gene Expression AnalysisBiomarkers, TumorRNA, Long NoncodingBreast cancerLong noncoding RNAPrognostic biomarkerSIMALRSingle-cell RNA sequencingWeighted gene co-expression network analysis

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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.