ArticleOncoTargets and therapy2020
Comprehensive Analysis of
Article in OncoTargets and therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05347524 (Detection of Peritoneal Metastasis of Gastric Cancer by Liquid Biopsy in Peripheral Blood), which is not on this map. Cited by 6 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.
Detection of Peritoneal Metastasis of Gastric Cancer by Liquid Biopsy in Peripheral Blood: A Prospective Study
Who cites it
6 citing papers in PubMed, 9 citations in OpenAlex.
- Genetic polymorphisms of theFrontiers in genetics · 2026Article
- Clinical applications and perspectives of circulating tumor DNA in gastric cancer.Cancer cell international · 2024Review
- A paediatric dysembryoplastic neuroepithelial tumour (DNET) with deregulated stem cell markers: a case report.Translational pediatrics · 2022Article
- The importance of CDC27 in cancer: molecular pathology and clinical aspects.Cancer cell international · 2021Review
- Cell-free DNA as a liquid biopsy for early detection of gastric cancer.Oncology letters · 2021Review
- Whole-exome sequencing identifies prognostic mutational signatures in gastric cancer.Annals of translational medicine · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionThe peritoneum is the most common metastatic site of gastric cancer and is associated with a dismal prognosis. However, there is no reliable biomarker for predicting peritoneal metastasis (PM). MATERIALS AND
methodsWhole-exome sequencing (WES) was performed on formalin-fixed, paraffin-embedded (FFPE) samples from 63 patients with stage I-III gastric cancer and circulating tumor DNA (ctDNA) samples from 10 patients with stage IV gastric cancer. Differentially expressed genes (DEGs) were identified between the PM and non-PM groups and analyzed by multiple bioinformatics analyses. Univariate and multivariate Cox regression analyses were used to identify the risk factors for PM and a risk score model was developed.
resultsThe number of mutant genes and the tumor mutation burden (TMB) in the PM group were higher than those in the non-PM group (p < 0.05). There was a significant positive correlation between the number of mutant genes and the TMB (R
conclusionThrough WES, we identified 49 DEGs relevant to PM in gastric cancer. CDC27 mutations were independently associated with PM by statistical and bioinformatics analyses. A risk score model was built and was demonstrated to effectively discriminate gastric cancer patients with and without PM.
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.