Evidence map›Paper›PMID 33425760›Full record

ArticleFrontiers in oncology2020

HTRA3 Is a Prognostic Biomarker and Associated With Immune Infiltrates in Gastric Cancer.

Ce Ji, Li-Sha Sun, Fei Xing, Nan Niu, Hong-Li Gao, Jing-Wei Dai, Nan Zhou, Ben-Chun Jiang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 13% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. An Interpretable Omics-to-Image Transformer Framework for Cancer Prognosis Prediction.Computational and structural biotechnology journal · 2026
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  10. Whole-transcriptome bioinformatics revealedJournal of Taibah University Medical Sciences · 2022
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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

8 authors at 1 institution in 1 country.

Ce JiDepartment of General Surgery, Shengjing Hospital of China Medical University, Shenyang, China.
Li-Sha SunTumor Stem Cell and Transforming Medicine Laboratory, Shengjing Hospital of China Medical University, Benxi, China.
Fei XingTumor Stem Cell and Transforming Medicine Laboratory, Shengjing Hospital of China Medical University, Benxi, China.
Nan NiuTumor Stem Cell and Transforming Medicine Laboratory, Shengjing Hospital of China Medical University, Benxi, China.
Hong-Li GaoTumor Stem Cell and Transforming Medicine Laboratory, Shengjing Hospital of China Medical University, Benxi, China.
Jing-Wei DaiDepartment of Neurosurgery, Shengjing Hospital of China Medical University, Shenyang, China.
Nan ZhouDepartment of General Surgery, Shengjing Hospital of China Medical University, Shenyang, China.
Ben-Chun JiangDepartment of General Surgery, Shengjing Hospital of China Medical University, Shenyang, China.
China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

HtrA serine peptidase 3 (HTRA3) participates in multiple signal pathways and plays an important regulatory role in various malignancies; however, its role on prognosis and immune infiltrates in gastric cancer (GC) remains unclear. The study investigated HTRA3 expression in tumor tissues and its association with immune infiltrates, and determined its prognostic roles in GC patients. Patients with GC were collected from the cancer genome atlas (TCGA). We compared the expression of HTRA3 in GC and normal gastric mucosa tissues with Wilcoxon rank sum test. And logistic regression was used to evaluate the relationship between HTRA3 and clinicopathological characters. Gene ontology (GO) term analysis, Gene set enrichment analysis (GSEA), and single-sample Gene Set Enrichment Analysis (ssGSEA) was conducted to explain the enrichmental pathways and functions and quantify the extent of immune cells infiltration for HTRA3. Kaplan-Meier analysis and Cox regression were performed to evaluate the correlation between HTRA3 and survival rates. A nomogram, based on Cox multivariate analysis, was used to predict the impact of HTRA3 on prognosis. High HTRA3 expression was significantly correlated with tumor histological type, histological grade, clinical stage, T stage, and TP53 status (

Indexed as

bioinformaticsbiomarkergastric cancerHTRA3immune infiltrationprognosis

Identifiers

PMID33425760
PMCPMC7786138
OpenAlexW3118198358

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.