ArticleImmunogenetics2020
Identification of immune-related gene signature predicting survival in the tumor microenvironment of lung adenocarcinoma.
Article in Immunogenetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.
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Who cites it
25 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Immune-related pan-cancer gene expression signatures of patient survival revealed by NanoString-based analyses.PloS one · 2023Pooled it
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- Sphingolipid metabolism-related genes B4GALNT1 and CERS4 as prognostic biomarkers in lung adenocarcinoma.PloS one · 2026Article
- Cervical cancer molecular subtype identification and prognosis classification by a metabolism-related gene expression.Translational cancer research · 2025Article
- The role of B cell immunity in lung adenocarcinoma.Genes and immunity · 2025Review
- The Current Roadmap of Lung Cancer Biology, Genomics and Racial Disparity.International journal of molecular sciences · 2025Review
- Potential role of hypobaric hypoxia environment in treating pan-cancer.Scientific reports · 2025Article
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- Cytochrome P450 F3 promotes colorectal cancer via inhibiting NRF2-mediated ferroptosis.Translational oncology · 2024Article
- Luteolin exerts anti-tumour immunity in hepatocellular carcinoma by accelerating CD8Journal of cellular and molecular medicine · 2024Article
- Neutrophil extracellular trap related risk score exhibits crucial prognostic value in skin cutaneous melanoma, associating with distinct immune characteristics.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2024Article
- SERPINC1, a new prognostic predictor of colon cancer, promote colon cancer progression through EMT.Cancer reports (Hoboken, N.J.) · 2024Article
- Establishment of a neutrophil extracellular trap-related prognostic signature for colorectal cancer liver metastasis and expression validation of CYP4F3.Clinical and experimental medicine · 2024Article
- Machine learning algorithms being an auxiliary tool to predict the overall survival of patients with renal cell carcinoma using the SEER database.Translational andrology and urology · 2024Article
- Identification of immune activation-related gene signature for predicting prognosis and immunotherapy efficacy in lung adenocarcinoma.Frontiers in immunology · 2023Article
- RASAL3 predicts overall survival and CD8+ T lymphocyte infiltration in lung adenocarcinoma.Journal of cellular and molecular medicine · 2022Article
- Aberrant Expression and Prognostic Potential of IL-37 in Human Lung Adenocarcinoma.Biomedicines · 2022Article
- Article
- The beginning of GPX2 and 30 years later.Free radical biology & medicine · 2022Review
- An immune-related nomogram model that predicts the overall survival of patients with lung adenocarcinoma.BMC pulmonary medicine · 2022Article
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The tumor microenvironment (TME) plays an essential role in the occurrence and progression of malignancy. The potential prognostic TME-related biomarkers of lung adenocarcinoma (LUAD) remained unclear, which were investigated in this research. The RNA-sequencing profiles and corresponding clinical parameters were extracted from TCGA and GEO databases, based on which the stromal and immune scores were calculated through the ESTIMATE algorithm. Overlapping differentially expressed genes between stromal and immune score group were analyzed by the LASSO and Random Forrest algorithms and validated in cases from our center. And a prognostic 8-gene signature was constructed using Cox regression. The infiltration of 22 hematopoietic cell phenotypes was assessed by the CIBERSORT algorithms. We found that female, elder patients, and solid predominant subtype had obviously higher stromal and immune scores. And patients with early stage LUAD received a prominently higher immune score. A high stromal or immune score meant a good prognosis. Subsequently, eight TME-related prognostic genes (ATAD5, CYP4F3, CYP4F12, ESPNL, FXYD2, GPX2, NLGN4Y, and SERPINC1) were identified by both LASSO regression and Radom Forest algorithms. High 8-gene signature group exhibited worse overall survival. Furthermore, B cell naïve, plasma cells, T cell follicular helper, and macrophages M1 were prominently more in high signature group. Nevertheless, fewer T cells CD4 memory resting, monocytes, and dendritic cell resting were identified in the high signature group. The composition of the tumor microenvironment significantly affected the prognosis of LUAD patients. We provided a new strategy for the exploration of prognostic TME-related biomarkers and immunotherapy.
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