ArticleBioengineered2020
Bioinformatics analysis to screen key prognostic genes in the breast cancer tumor microenvironment.
Article in Bioengineered, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 13 citations in OpenAlex.
- Glycosylated protein-related microenvironmental features in breast cancer are associated with patient prognosis.Mammalian genome : official journal of the International Mammalian Genome Society · 2025Article
- Identification of the prognostic immune subtype in copy-number high endometrial cancer.Journal of gynecologic oncology · 2024Article
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- Mdwgan-gp: data augmentation for gene expression data based on multiple discriminator WGAN-GP.BMC bioinformatics · 2023Article
- Tumor microenvironment: barrier or opportunity towards effective cancer therapy.Journal of biomedical science · 2022Review
- Activation of cytotoxic T lymphocytes by self-differentiated myeloid-derived dendritic cells for killing breast cancer cells expressing folate receptor alpha protein.Bioengineered · 2022Article
- Prognostic and Immune Implications of a Novel Pyroptosis-Related Five-Gene Signature in Breast Cancer.Frontiers in surgery · 2022Article
- Identification of a prognostic chemoresistance-related gene signature associated with immune microenvironment in breast cancer.Bioengineered · 2021Article
- Metabolism-related long non-coding RNAs (lncRNAs) as potential biomarkers for predicting risk of recurrence in breast cancer patients.Bioengineered · 2021Article
- Declined expressions of vast mitochondria-related genes represented by CYCS and transcription factor ESRRA in skeletal muscle aging.Bioengineered · 2021Article
- Identification of significant genes and therapeutic agents for breast cancer by integrated genomics.Bioengineered · 2021Article
- Immune cell infiltration landscape and immune marker molecular typing in preeclampsia.Bioengineered · 2021Article
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Increasing evidence has shown that the tumor microenvironment (TME) plays an important role in tumor occurrence and development and can also affect patient prognosis. In this study, we screened key prognostic genes in the breast cancer (BC) TME by analyzing the immune and stromal scores of tumor samples to detect differentially expressed genes (DEGs) and also constructed a TME-related prognostic model. First, we obtained mRNA-Seq and related clinical information for patients with BC from The Cancer Genome Atlas (TCGA) and calculated the stromal and immune scores of tumor tissues using the ESTIMATE algorithm. Next, we performed functional enrichment analysis and generated protein-protein interaction networks from the DEGs that were highly related to the TME. Finally, Cox proportional hazards regression analysis was performed on BC datasets from TCGA, and analyses were conducted on infiltrating immune cells and the human protein atlas. Together, these analyses indicated that the
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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.