Evidence map›Paper›PMID 35663326›Full record

ArticleFrontiers in endocrinology2022

Survival-Associated Metabolic Genes and Risk Scoring System in HER2-Positive Breast Cancer.

Chundi Gao, Huayao Li, Chao Zhou, Cun Liu, Jing Zhuang, Lijuan Liu, Changgang Sun

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 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
–field-weighted citation impact
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.

  1. Article
  2. 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

7 authors.

Chundi GaoCollege of First Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China.
Huayao LiCollege of Basic Medical, Shandong University of Traditional Chinese Medicine, Jinan, China.
Chao ZhouDepartment of Oncology, Weifang Traditional Chinese Hospital, Weifang, China.
Cun LiuCollege of First Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China.
Jing ZhuangDepartment of Oncology, Weifang Traditional Chinese Hospital, Weifang, China.
Lijuan LiuDepartment of Oncology, Weifang Traditional Chinese Hospital, Weifang, China.
Changgang SunDepartment of Oncology, Weifang Traditional Chinese Hospital, Weifang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human epidermal growth factor receptor 2 (HER2)-positive breast cancer and triple-negative breast cancer have their own genetic, epigenetic, and protein expression profiles. In the present study, based on bioinformatics techniques, we explored the prognostic targets of HER2-positive breast cancer from metabonomics perspective and developed a new risk score system to evaluate the prognosis of patients. By identifying the differences between HER2 positive and normal control tissues, and between triple negative breast cancer and normal control tissues, we found a large number of differentially expressed metabolic genes in patients with HER2-positive breast cancer and triple-negative breast cancer. Importantly, in HER2-positive breast cancer, decreased expression of metabolism-related genes

Indexed as

Triple Negative Breast NeoplasmsBiomarkers, TumorHumansPrognosisRisk FactorsBiomarkers, TumorHER2-positive breast cancerlasso cox regression analysismetabonomicsprognostic risk scoring systemsurvival prediction

Identifiers

PMID35663326
PMCPMC9161264

What OpenQuestion holds

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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.