ArticleAging2021
Cell differentiation trajectory predicts patient potential immunotherapy response and prognosis in gastric cancer.
Article in Aging, 2021. 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
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
18 citing papers in PubMed.
- Single-cell RNA Sequencing Demonstrates the Heterogeneity of Different Molecular Subtypes in Gastric Cancer.Biochemical genetics · 2025Article
- Analysis of immune status and prognostic model incorporating lactic acid metabolism-associated genes.Cancer cell international · 2024Article
- The biological significance of cuproptosis-key gene MTF1 in pan-cancer and its inhibitory effects on ROS-mediated cell death of liver hepatocellular carcinoma.Discover oncology · 2023Article
- Nomogram established using risk factors of early gastric cancer for predicting the lymph node metastasis.World journal of gastrointestinal oncology · 2023Article
- Neoadjuvant PD-1 Inhibitor Plus Apatinib and Chemotherapy Versus Apatinib Plus Chemotherapy in Treating Patients With Locally Advanced Gastric Cancer: A Prospective, Cohort Study.Journal of gastric cancer · 2023Article
- Molecular typing and prognostic risk models for ovarian cancer: a study based on cell differentiation trajectory.Frontiers in cell and developmental biology · 2023Article
- Comprehensive Characterization of RNA-Binding Proteins in Colon Adenocarcinoma Identifies a Novel Prognostic Signature for Predicting Clinical Outcomes and Immunotherapy Responses Based on Machine Learning.Combinatorial chemistry & high throughput screening · 2023Article
- Hepatocellular carcinoma cell differentiation trajectory predicts immunotherapy, potential therapeutic drugs, and prognosis of patients.Open life sciences · 2023Article
- Identification of molecular classification and gene signature for predicting prognosis and immunotherapy response in HNSCC using cell differentiation trajectories.Scientific reports · 2022Article
- Single-cell characterization revealed hypoxia-induced metabolic reprogramming of gastric cancer.Heliyon · 2022Article
- Article
- Analysis of risk factors for sentinel lymph node metastasis in patients with endometrial cancer.American journal of translational research · 2022Article
- Applications and Achievements of Single-Cell Sequencing in Gastrointestinal Cancer.Frontiers in oncology · 2022Review
- Single-cell landscape reveals active cell subtypes and their interaction in the tumor microenvironment of gastric cancer.Theranostics · 2022Article
- Cell Differentiation Trajectory in Liver Cirrhosis Predicts Hepatocellular Carcinoma Prognosis and Reveals Potential Biomarkers for Progression of Liver Cirrhosis to Hepatocellular Carcinoma.Frontiers in genetics · 2022Article
- Identification of stem cell-related subtypes and risk scoring for gastric cancer based on stem genomic profiling.Stem cell research & therapy · 2021Article
- Colorectal Cancer Cell Differentiation Trajectory Predicts Patient Immunotherapy Response and Prognosis.Cancer control : journal of the Moffitt Cancer CenterArticle
- A Nomogram Combining Neutrophil-to-Lymphocyte Ratio and D-Dimer Predicts Chemosensitivity of Oxaliplatin-Based First-Line Chemotherapy in Patients with Unresectable Advanced Gastric Cancer.Technology in cancer research & treatmentArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The purpose of this study was to investigate the differentiation trajectory of gastric cancer (GC) cells and its clinical relevance and generate a prognostic risk scoring (RS) signature based on GC differentiation-related genes (GDRGs) to predict overall survival (OS). Integrated single-cell RNA sequencing (scRNA-seq) and bulk RNA-seq data from GC samples were used for analysis. The cell differentiation trajectory analysis identified three subsets with distinct differentiation states, of which subsets I/II were involved in metabolic disorders, subset II were also associated with hypoxia tolerance, and subset III were related to immune-related pathways. GC samples were divided into three GDRG-based molecular subtypes, and it was found that molecular typing based on cell differentiation successfully predicted patient OS, clinicopathological features, immune infiltration status, and immune checkpoint gene expression. An eight-GDRG-based prognostic RS signature was generated, and the OS of the high-risk group was significantly worse than that of the low-risk group. By integrating the GDRG-based RS signature with prognostic clinicopathological characteristics, a clinicopathologic-genomic nomogram was constructed, and this nomogram yielded strong predictive performance and high accuracy. The study highlights the implication of GC cell differentiation for predicting patient clinical outcome and potential immunotherapy response and proposes a promising treatment direction for GC.
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.