ArticleCancer management and research2019
Transcriptional Characterization Of The Tumor Immune Microenvironment And Its Prognostic Value For Locally Advanced Lung Adenocarcinoma In A Chinese Population.
Article in Cancer management and research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
22 citing papers in PubMed, 27 citations in OpenAlex.
- Development and validation of prediction model for intrapulmonary metastasis in lung adenocarcinoma based on machine learning.Journal of thoracic disease · 2026Article
- APOBEC3C-Mediated NF-κB Activation Promotes Malignant Progression of Gliomas.Immunity, inflammation and disease · 2025Article
- Article
- The causal role of immune cells on lung cancer: a bi-directional Mendelian randomization (MR) study.Aging · 2024Article
- Exploration and Validation of Pancreatic Cancer Hub Genes Based on Weighted Gene Co-Expression Network Analysis and Immune Infiltration Score Analysis.Pharmacogenomics and personalized medicine · 2023Article
- Role of tumor-associated neutrophils in lung cancer (Review).Oncology letters · 2023Review
- Prognostic significance of pyroptosis-related factors in lung adenocarcinoma.Journal of thoracic disease · 2022Article
- Development and Validation of Lactate Metabolism-Related lncRNA Signature as a Prognostic Model for Lung Adenocarcinoma.Frontiers in endocrinology · 2022Article
- MCM4 is a novel prognostic biomarker and promotes cancer cell growth in glioma.Frontiers in oncology · 2022Article
- A robust CD8Frontiers in immunology · 2022Article
- A novel immune-related long non-coding RNA signature improves the prognosis prediction in the context of head and neck squamous cell carcinoma.Bioengineered · 2021Article
- Genetic and immune characteristics of multiple primary lung cancers and lung metastases.Thoracic cancer · 2021Article
- Development of an immune-related gene pairs signature for predicting clinical outcome in lung adenocarcinoma.Scientific reports · 2021Article
- Immunogenomic Gene Signature of Cell-Death Associated Genes with Prognostic Implications in Lung Cancer.Cancers · 2021Article
- EGFR DNA Methylation Correlates With EGFR Expression, Immune Cell Infiltration, and Overall Survival in Lung Adenocarcinoma.Frontiers in oncology · 2021Article
- Article
- Article
- Article
- Article
- Catenin Alpha-2 Mutation Changes the Immune Microenvironment in Lung Adenocarcinoma Patients Receiving Immune Checkpoint Inhibitors.Frontiers in pharmacology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveWe investigated the relationship of the transcriptional tumor immune microenvironment with prognosis of patients with locally advanced lung adenocarcinoma (LUAD). MATERIALS AND
methodsA targeted RNA-Seq approach was used to measure the abundance of 395 immune-related transcripts of 24 formalin-fixed paraffin embedded (FFPE) tumor specimens from our institution and transcription data of 85 matched LUAD samples from The Cancer Genome Atlas (TCGA). Gene set variation analysis (GSVA) was used to identify gene sets related to prognosis, and the microenvironment cell-population (MCP)-counter method was used to quantify infiltrated immune cells. Survival analysis with the log rank test was used to determine the relationships of different immune-related transcripts with prognosis. Cox proportional hazards models were also used to identify risk factors associated with poor prognosis.
resultsAmong our patients, GSVA and the log rank test demonstrated that enrichment of the antigen processing pathway (
conclusionWhen integrated with computational bioinformatics methods, targeted RNA-Seq from FFPE specimens provides profiles of the tumor immune microenvironment that have prognostic value for patients with locally advanced LUAD.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.