ArticleAmerican journal of translational research2021
Article in American journal of translational research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed, 17 citations in OpenAlex.
- Single-cell analysis reveals that NRG1/3-ERBB4 signaling affects metabolic reprogramming and immune escape in Wilms tumor.Biology direct · 2026Article
- Role of MZB1 in disease pathogenesis: current insights and future directions.Clinical and experimental medicine · 2026Review
- Multi-omics integration identifies PGAP3 as a tumor-intrinsic factor associated with CD8Frontiers in molecular biosciences · 2026Article
- The molecular complexity of deep vein thrombosis was preliminarily explored based on the ceRNA network, scRNA-seq and AlphaFold 2.BMC medical genomics · 2025Article
- Multiomics Investigation of Exhausted T Cells in Glioblastoma Tumor Microenvironment:International journal of molecular sciences · 2025Article
- Radiogenomic correlation of hypoxia-related biomarkers in clear cell renal cell carcinoma.Journal of cancer research and clinical oncology · 2025Article
- Identifying endoplasmic reticulum stress-related genes as new diagnostic and prognostic biomarkers in clear cell renal cell carcinoma.Translational andrology and urology · 2024Article
- The exploration of mitochondrial-related features helps to reveal the prognosis and immunotherapy methods of colorectal cancer.Cancer reports (Hoboken, N.J.) · 2024Article
- The dysfunctional immune response in renal cell carcinoma correlates with changes in the metabolic landscape of ccRCC during disease progression.Cancer immunology, immunotherapy : CII · 2023Article
- Article
- Hypoxia-responsive PPARGC1A/BAMBI/ACSL5 axis promotes progression and resistance to lenvatinib in hepatocellular carcinoma.Oncogene · 2023Article
- Characterization of Infiltrating Immune Cells and Secretory or Membrane-Associated Proteins in KRAS Lung Adenocarcinoma.Journal of immunology research · 2023Article
- Association between PPARγ, PPARGC1A, and PPARGC1B genetic variants and susceptibility of gastric cancer in an Eastern Chinese population.BMC medical genomics · 2022Article
- Development and validation of a chromatin regulator prognostic signature in colon adenocarcinoma.Frontiers in genetics · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Growing evidence suggests that the tumor microenvironment (TME) plays crucial roles in tumor progression and treatment efficacy in clear cell renal cell carcinoma (ccRCC), which typically has a poor prognosis due to high relapse and metastasis rates. We comprehensively analyzed ccRCC RNA-sequencing data from The Cancer Genome Atlas (TCGA) database to identify candidate prognostic TME-related genes involved in ccRCC. We used the ESTIMATE and CIBERSORT algorithms to estimate the proportions of immune cells, stromal cells, and tumor-infiltrating immune cells (TICs) in the TME in ccRCC samples from 539 patients. By examining the intersection of the differentially expressed genes (DEGs) obtained by Cox regression analysis and protein-protein interaction network, we identified five overlapping DEGs (
Indexed as
Identifiers
34786042PMC8581857W3213317676What Socratic 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 Socratic graph.