ArticleCells2023
The Characteristics of Tumor Microenvironment Predict Survival and Response to Immunotherapy in Adrenocortical Carcinomas.
Article in Cells, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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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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.
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Who cites it
18 citing papers in PubMed, 14 citations in OpenAlex.
- EPB41L family serves as a prognostic biomarker for kidney renal clear cell carcinoma.Cell adhesion & migration · 2026Article
- Deep Learning-Based Multimodal Fusion of Whole-Slide Images and RNA Sequencing Identifies Survival-Relevant Glioblastoma Clusters.Cancer medicine · 2026Article
- Immunotherapy for Diffuse Midline Glioma: From Preclinical Modeling to Clinical Translation.Cancers · 2026Review
- Single-cell RNA sequencing reveals immune microenvironment heterogeneity in BRCA1-mutated and sporadic triple-negative breast cancer.Translational oncology · 2026Article
- Consensus machine learning identifies cell death gene signature for carotid artery stenosis diagnosis.iScience · 2026Article
- MicroRNAs-Are They Possible Markers of Allergic Diseases and Efficient Immunotherapy?International journal of molecular sciences · 2026Review
- Adrenal tumor microenvironment: hormone-immune crosstalk, molecular heterogeneity, and immunotherapeutic opportunities.Frontiers in immunology · 2026Review
- Single-cell landscape of melanoma reveals ETV5-driven C3 ID4Frontiers in immunology · 2026Article
- Research progress in the construction and application of immunotherapy resistance models.Cancer immunology, immunotherapy : CII · 2025Review
- Data Augmentation and Synthetic Data Generation in Rare Disease Research: A Scoping Review.Medical sciences (Basel, Switzerland) · 2025Article
- Checkpoint Blockade Efficacy in Uveal Melanoma Is Linked to Tumor Immunity, CD28, and CCL8.International journal of molecular sciences · 2025Article
- Unveiling the tumor microenvironment in colorectal cancer therapeutic resistance.Frontiers in cell and developmental biology · 2025Review
- Therapeutic strategies for adrenocortical carcinoma: integrating genomic insights, molecular targeting, and immunotherapy.Frontiers in immunology · 2025Review
- Identification of an immune-related eRNA prognostic signature for clear cell renal cell carcinoma.Aging · 2024Article
- Low expression of PRRG2 in kidney renal clear cell carcinoma: an immune infiltration-associated prognostic biomarker.Discover oncology · 2024Article
- Mechanoregulatory Cholesterol Oxidase-Functionalized Nanoscale Metal-Organic Framework Stimulates Pyroptosis and Reinvigorates T Cells.Small (Weinheim an der Bergstrasse, Germany) · 2023Article
- Identification of Molecular Subtypes and Prognostic Characteristics of Adrenocortical Carcinoma Based on Unsupervised Clustering.International journal of molecular sciences · 2023Article
- Association between High Interferon-Gamma Production in Avian Tuberculin-Stimulated Blood fromMicroorganisms · 2023Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Increasing evidence confirms that tumor microenvironment (TME) can influence tumor progression and treatment, but TME is still understudied in adrenocortical carcinoma (ACC). In this study, we first scored TME using the xCell algorithm, then defined genes associated with TME, and then used consensus unsupervised clustering analysis to construct TME-related subtypes. Meanwhile, weighted gene co-expression network analysis was used to identify modules correlated with TME-related subtypes. Ultimately, the LASSO-Cox approach was used to establish a TME-related signature. The results showed that TME-related scores in ACC may not correlate with clinical features but do promote a better overall survival. Patients were classified into two TME-related subtypes. Subtype 2 had more immune signaling features, higher expression of immune checkpoints and MHC molecules, no CTNNB1 mutations, higher infiltration of macrophages and endothelial cells, lower tumor immune dysfunction and exclusion scores, and higher immunophenoscore, suggesting that subtype 2 may be more sensitive to immunotherapy. 231 modular genes highly relevant to TME-related subtypes were identified, and a 7-gene TME-related signature that independently predicted patient prognosis was established. Our study revealed an integrated role of TME in ACC and helped to identify those patients who really responded to immunotherapy, while providing new strategies on risk management and prognosis prediction.
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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.