ArticleAnnals of translational medicine2022
Screening of the novel immune-suppressive biomarkers of TMED family and whether knockdown of TMED2/3/4/9 inhibits cell migration and invasion in breast cancer.
Article in Annals of translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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.
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Who cites it
5 citing papers in PubMed, 7 citations in OpenAlex.
- Bidirectional mendelian randomization identifies plasma proteins associated with cervical cancer risk.Journal of the Egyptian National Cancer Institute · 2026Article
- Bioinformatic Approach to Identify Positive PrognosticInternational journal of molecular sciences · 2025Article
- Multi-Omics analysis and in vitro validation reveal diagnostic and therapeutic roles of novel hub genes in ovarian cancer.Hereditas · 2025Article
- Pan-cancer analysis of TMED2: unraveling potential immune characteristics and prognostic value in cancer therapy.Frontiers in immunology · 2025Article
- TMED2 Induces Cisplatin Resistance in Breast Cancer via Targeting the KEAP1-Nrf2 Pathway.Current medical science · 2023Article
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Transmembrane p24 trafficking protein (TMED) family members are implicated in several solid tumors, but their clinical relevance for breast cancer (BC) remains unclear. This study aimed to probe their prognostic values and relations with tumor immunity in BC. Methods: TMED family mRNA expression was assessed in five microarray datasets (GSE65212, GSE42568, GSE5364, GSE22820 and GSE45827) from Gene Expression Omnibus (GEO) database and invasive breast cancer (BRCA) cohort from The Cancer Genome Atlas (TCGA). Receiver operating characteristic (ROC) curve was performed to determine the predictive values of filtered members of the Results: BC tissues expressed Conclusions:
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