Evidence map›Paper›PMID 38175412›Full record

ArticleApplied biochemistry and biotechnology2024

PICALM as a Novel Prognostic Biomarker and Its Correlation with Immune Infiltration in Breast Cancer.

Naer A, Pengfei Lyu, Yue Yu, Meiling Liu, Shaohua Cheng, Meiyan Chen, Yunhong Liu, Xuchen Cao

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Article in Applied biochemistry and biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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8 authors.

Naer AThe First Department of Breast Cancer, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Huanhuxi Road, Hexi District, Tianjin, 300060, China.
Pengfei LyuDepartment of Breast Surgery, The First Affiliated Hospital of Hainan Medical University, Haikou, 570102, China.
Yue YuThe First Department of Breast Cancer, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Huanhuxi Road, Hexi District, Tianjin, 300060, China.
Meiling LiuDepartment of Thyroid and Breast Surgery, Shenzhen Bao'an District Songgang People's Hospital, No. 2 Shajiang Road, Shenzhen City, 518105, Guangdong Province, China.
Shaohua ChengDepartment of Thyroid and Breast Surgery, Shenzhen Bao'an District Songgang People's Hospital, No. 2 Shajiang Road, Shenzhen City, 518105, Guangdong Province, China.
Meiyan ChenDepartment of Thyroid and Breast Surgery, Shenzhen Bao'an District Songgang People's Hospital, No. 2 Shajiang Road, Shenzhen City, 518105, Guangdong Province, China.
Yunhong LiuDepartment of Thyroid and Breast Surgery, Shenzhen Bao'an District Songgang People's Hospital, No. 2 Shajiang Road, Shenzhen City, 518105, Guangdong Province, China.
Xuchen CaoThe First Department of Breast Cancer, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Huanhuxi Road, Hexi District, Tianjin, 300060, China. caoxuchen0328@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PICALM (phosphatidylinositol-binding clathrin assembly protein) mutations have been linked to a number of human disorders, including leukemia, Alzheimer's disease, and Parkinson's disease. Nevertheless, the effect of PICALM on cancer, particularly on prognosis and immune infiltration in individuals with BRCA, is unknown. We obtained the data of breast cancer patients from The Cancer Genome Atlas (TCGA) database, and analyzed the expression of PICALM in breast cancer, its impact on survival' and its role in tumor immune invasion. Finally, in vitro cellular experiments were performed to validate the results. Research has found that PICALM expression was shown to be downregulated in BRCA and to be substantially linked with clinical stage, histological type, PAM50, and age. PICALM downregulation was linked to a lower overall survival (OS) and disease-specific survival (DSS) in BRCA patients. A multivariate Cox analysis revealed that PICALM is an independent predictor of OS. The enriched pathways revealed by functional enrichment analysis included oxidative phosphorylation, angiogenesis, the TGF signaling pathway, and the IL-6/JAK/STAT3 signaling system. Furthermore, the amount of immune cell infiltration by B cells, eosinophils, mast cells, neutrophils, and T cells was positively linked with PICALM expression. Finally, we experimentally verified that low expression of PICALM can reduce proliferation, migration, and invasion in tumor cells. This evidence shows that PICALM expression impacts prognosis, immune infiltration, and pathway expression in breast cancer patients, and it might be a potential predictive biomarker for the disease.

Indexed as

Biomarkers, TumorBreast NeoplasmsMonomeric Clathrin Assembly ProteinsFemaleGene Expression Regulation, NeoplasticHumansMiddle AgedPrognosisBiomarkers, TumorMonomeric Clathrin Assembly ProteinsPICALM protein, humanBiomarkerBreast cancerImmune infiltrationMethylationNomogramPICALMPrognosis

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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.