ArticleJournal of Cancer2024
Multi-omics identification of GPCR gene features in lung adenocarcinoma based on multiple machine learning combinations.
Article in Journal of Cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed, 10 citations in OpenAlex.
- Multidimensional immune ecological subtyping identifies RUNX1 as a prognostic factor in uveal melanoma.Discover oncology · 2026Article
- GPCR signaling systems facilitate precision interventions for multi-oncology therapy.Frontiers in systems biology · 2026Review
- Integrated Multiomics Analysis Reveals a Migrasome-Related Signature for Prognosis and Immunotherapy Response in Lung Adenocarcinoma.Human mutation · 2026Article
- Comprehensive analysis of a machine learning prognostic model for the interaction between mitochondrial function and lactylation in lung adenocarcinoma.Discover oncology · 2025Article
- Leveraging Single-Cell Multi-Omics to Decode Tumor Microenvironment Diversity and Therapeutic Resistance.Pharmaceuticals (Basel, Switzerland) · 2025Review
- Integration of the bulk transcriptome and single-cell transcriptome reveals efferocytosis features in lung adenocarcinoma prognosis and immunotherapy by combining deep learning.Cancer cell international · 2024Article
- Genome-wide pan-GPCR cell libraries accelerate drug discovery.Acta pharmaceutica Sinica. B · 2024Review
- Multi‑omics identification of a signature based on malignant cell-associated ligand-receptor genes for lung adenocarcinoma.BMC cancer · 2024Article
- Implementation of multiomic mass spectrometry approaches for the evaluation of human health following environmental exposure.Molecular omics · 2024Review
- Identification of a novel immunogenic death-associated model for predicting the immune microenvironment in lung adenocarcinoma from single-cell and Bulk transcriptomes.Journal of Cancer · 2024Article
- Integrating multi-omics and machine learning survival frameworks to build a prognostic model based on immune function and cell death patterns in a lung adenocarcinoma cohort.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
9 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
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.