Evidence map›Paper›PMID 37180657›Full record

ArticleTranslational cancer research2023

High expression of RTN4IP1 predicts adverse prognosis for patients with breast cancer.

Xiu Wang, Xinyu Li, Wenying Jiang

Open access · diamondAbstract read
In one paragraph

Article in Translational cancer research, 2023. 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
0.8field-weighted citation impact, top 28% 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, 5 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Xiu WangDepartment of Breast Surgery, The Third Affiliated Hospital of Soochow University, Changzhou, China.
Xinyu LiDepartment of Breast Surgery, The Third Affiliated Hospital of Soochow University, Changzhou, China.
Wenying JiangDepartment of Breast Surgery, The Third Affiliated Hospital of Soochow University, Changzhou, China.
Soochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: RTN4IP1 interacts with a membranous protein of endoplasmic reticulum (RTN4), this study was to explore the role RTN4IP1 involved in breast cancer (BC). Methods: After RNAseq data of The Cancer Genome Atlas Breast Invasive Carcinoma (TCGA-BRCA) project were downloaded, correlations between RTN4IP1 expression and clinicopathologic variables, as well as expression levels between cancerous samples and non-cancerous ones were tested. Differentially expressed genes (DEGs) and functional enrichment, gene set enrichment analysis (GSEA) and immune infiltration analysis were conduct for bioinformatics analysis. After logistic regression, Kaplan-Meier curve of disease-specific survival (DSS), univariate and multivariate COX analysis, a nomogram was established for prognosis. Results: RTN4IP1 expression was up-regulated in BC tissue, significantly associated with estrogen receptor (ER), progesterone receptor (PR) and human epidermal growth factor receptor 2 (HER2) status (P<0.001). The 771 DEGs linked RTN4IP1 to glutamine metabolism and mitoribosome-associated quality control. Functional enrichment pointed to DNA metabolic process, mitochondrial matrix and inner membrane, ATPase activity, cell cycle and cellular senescence; whereas GSEA indicated regulation of cellular cycle, G1_S DNA damage checkpoints, drug resistance and metastasis. Eosinophil cells, natural killer (NK) cells and Th 2 cells were found to be correlated with RTN4IP1 expression (R=-0.290, -0.277 and 0.266, respectively, P<0.001). RTN4IP1 Conclusions: Overexpressed in BC tissue, RTN4IP1 predicts adverse prognosis for patients with BC, especially in infiltrating ductal carcinoma, infiltrating lobular carcinoma, Stage II, Stages III&IV and luminal A subtype.

Indexed as

breast cancer (BC)mitochondriaprognosisRTN4IP1

Identifiers

PMID37180657
PMCPMC10174766
OpenAlexW4360989818

What OpenQuestion holds

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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.