ArticleOncology research2023
Elucidating the clinical and immunological value of m6A regulator-mediated methylation modification patterns in adrenocortical carcinoma.
Article in Oncology research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 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
30 citing papers in PubMed.
- COL1A1, ITGB1, THY1, and PDGFRA: key immune-related genes in uterine corpus endometrial carcinoma with prognostic and therapeutic implications.Hereditas · 2025Article
- COL1A1, COL1A2, CHN1, and FN1 Promote Tumorogenesis and Act as Markers of Diagnosis and Survival in Gastric Cancer Patients.Current pharmaceutical biotechnology · 2025Article
- Decoding hub gene networks and miRNA interplay in Wilms tumor pathogenesis and therapeutic sensitivity.American journal of translational research · 2025Article
- Comprehensive pan-cancer analysis of LAMA3: implications for prognosis and immunotherapy.American journal of translational research · 2025Article
- Unveiling the role of CXCL10 in pancreatic cancer progression: A novel prognostic indicator.Open medicine (Warsaw, Poland) · 2025Article
- Cadherin family genes in non-small cell lung cancer: implications for diagnosis, prognosis, and targeted therapy.American journal of translational research · 2025Article
- Examining the evidence for mutual modulation between m6A modification and circular RNAs: current knowledge and future prospects.Journal of experimental & clinical cancer research : CR · 2024Review
- Article
- MATN4 as a target gene of HIF-1α promotes the proliferation and metastasis of osteosarcoma.Aging · 2024Article
- Article
- Unveiling the cellular landscape: insights from single-cell RNA sequencing in multiple myeloma.Frontiers in immunology · 2024Article
- Next-generation sequencing uncovers crucial mutated genes and potential therapeutic targets in ovarian cancer patients.American journal of translational research · 2024Article
- Exploration of BRCA1 and BRCA2 mutations in gastric cancer patients through next generation sequencing: implications for diagnosis and therapy.American journal of translational research · 2024Article
- PIAS family gene expression: implications for prognosis, immunomodulation, and chemotherapy response.American journal of translational research · 2024Article
- Comprehensive analysis of the pituitary tumor-transforming gene (PTTG) family in lung adenocarcinoma: diagnostic, prognostic, and therapeutic implications.American journal of translational research · 2024Article
- Contemplating the prognostic and therapeutic potential of CD19: a comprehensive analysis across diverse cancer types.American journal of translational research · 2024Article
- Characterizing mitochondrial features in osteoarthritis through integrative multi-omics and machine learning analysis.Frontiers in immunology · 2024Article
- Detection of genomic variants in BRCA1 and BRCA2 across gastric cancer patients using next generation sequencing.American journal of translational research · 2024Article
- Exploring the molecular landscape of osteosarcoma through PTTG family genes using a detailed multi-level methodology.Frontiers in genetics · 2024Article
- Comprehending the cuproptosis and cancer-immunity cycle network: delving into the immune landscape and its predictive role in breast cancer immunotherapy responses and clinical endpoints.Frontiers in immunology · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
N6-methyladenosine methylation (m6A) is a common type of epigenetic alteration that prominently affects the prognosis of tumor patients. However, it is unknown how the m6A regulator affects the tumor microenvironment (TME) cell infiltration in adrenocortical carcinoma (ACC) and how it affects the prognosis of ACC patients yet. The m6A alteration patterns of 112 ACC patients were evaluated, furthermore, the association with immune infiltration cell features was investigated. The unsupervised clustering method was applied to typify the m6A alteration patterns of ACC patients. The principal component analysis (PCA) technique was taken to create the m6A score to assess the alteration pattern in specific malignancies. We found two independent patterns of m6A alteration in ACC patients. The TME cell infiltration features were significantly in accordance with phenotypes of tumor immune-inflamed and immune desert in both patterns. The m6Ascore also served as an independent predictive factor in ACC patients. The somatic copy number variation (CNV) and patients prognosis can be predicted by m6A alteration patterns. Moreover, the ACC patients with high m6A scores had better overall survival (OS) and higher efficiency in immune checkpoint blockade therapy. Our work demonstrated the significance of m6A alteration to the ACC patients immunotherapy. The individual m6A alteration patterns analysis might contribute to ACC patients prognosis prediction and immunotherapy choice.
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.