Evidence map›Paper›PMID 36092347›Full record

ArticleJournal of gastrointestinal oncology2022

Bioinformatics analysis of the prognostic and immunotherapeutic significance of NPRL2 in stomach adenocarcinoma.

Yilin Pi, Yuning Zhan, Jitao Song, Xin Jin, Jing Chen

Open access · diamondAbstract read
In one paragraph

Article in Journal of gastrointestinal oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.5field-weighted citation impact, top 17% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. eLife · 2025
    Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

Yilin Pi *Department of Gastroenterology, the Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Yuning Zhan *The Fourth Department of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, China.
Jitao SongDepartment of Gastroenterology, the Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Xin JinDepartment of Respiratory, the Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Jing ChenDepartment of Gastroenterology, the Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Harbin Medical University · CNSecond Affiliated Hospital of Harbin Medical University · CNFourth Affiliated Hospital of Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Stomach adenocarcinoma (STAD) is a major type of gastric cancer with high morbidity and mortality. Methods: Genomic expression and methylation were analysed based on data from the Human Protein Atlas, Gene Expression Omnibus and Oncomine database. Survival analyses were conducted with the Kaplan-Meier method, using data from The Cancer Genome Atlas database. Immune correlation analyses and prediction of response to immunotherapy were performed using the online Immune Cell Abundance Identifier. Co-expression analyses, functional clustering analyses and construction of a prognostic risk model were conducted in R, with the clinical covariates balanced by the inverse probability treatment weighting method. Results: Conclusions: The present study provided a comprehensive analysis of the role and potential mechanisms of NPRL2 in STAD, suggesting that NPRL2 is a potential biomarker for the survival and prediction of immunotherapy response in STAD.

Indexed as

biomarkerimmunotherapyNPRL2prognosisstomach adenocarcinoma (STAD)

Identifiers

PMID36092347
PMCPMC9459220
OpenAlexW4288062986

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.