Evidence map›Paper›PMID 31088422›Full record

ArticleBMC cancer2019

Clinical implications of a novel prognostic factor AIFM3 in breast cancer patients.

Ang Zheng, Lin Zhang, Xinyue Song, Yuying Wang, Minjie Wei, Feng Jin

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

16 citing papers in PubMed, 30 citations in OpenAlex.

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  5. International journal of molecular sciences · 2021
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  9. EZH2 is a potential prognostic predictor of glioma.Journal of cellular and molecular medicine · 2021
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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

6 authors at 4 institutions in 1 country.

Ang ZhengDepartment of Breast Surgery, the First Affiliated Hospital of China Medical University, 110001, No.155 Nanjing Road, Heping Districrt, Shenyang, Liaoning Province, People's Republic of China.
Lin ZhangDepartment of Surgery, Huamei Hospital, University of Chinese Academy of Sciences (Ningbo No.2 Hospital), 315000, No.41 Xibei Road, Haishu District, NingBo, Zhejiang Province, People's Republic of China.
Xinyue SongDepartment of Pharmacology, School of Pharmacy, China Medical University, 110122, No.77 Puhe Road, Shenbei New District, Shenyang, Liaoning Province, People's Republic of China.
Yuying WangDepartment of Breast Surgery, the First Affiliated Hospital of China Medical University, 110001, No.155 Nanjing Road, Heping Districrt, Shenyang, Liaoning Province, People's Republic of China.
Minjie WeiDepartment of Pharmacology, School of Pharmacy, China Medical University, 110122, No.77 Puhe Road, Shenbei New District, Shenyang, Liaoning Province, People's Republic of China.
Feng JinDepartment of Breast Surgery, the First Affiliated Hospital of China Medical University, 110001, No.155 Nanjing Road, Heping Districrt, Shenyang, Liaoning Province, People's Republic of China. jinfeng@cmu.edu.cn.ORCID http://orcid.org/0000-0002-5141-3986
China Medical University · CNFirst Hospital of China Medical University · CNLiaoning Cancer Hospital & Institute · CNNingbo No. 2 Hospital · CN

Funding

National Natural Science Foundation of China 81773163
6 · The paper itself

Abstract

backgroundIn a time of increasing concerns over personalized and precision treatment in breast cancer (BC), filtering prognostic factors attracts more attention. Apoptosis-Inducing Factor Mitochondrion-associated 3 (AIFM3) is widely expressed in various tissues and aberrantly expressed in several cancers. However, clinical implication of AIFM3 has not been reported in BC. The aim of the study is to investigate the crystal structure, clinical and prognostic implications of AIFM3 in BC.

methodsAIFM3 expression in 151 BC samples were assessed by immunohistochemistry (IHC). The Cancer Genome Atlas (TCGA) and Kaplan-Meier survival analysis were used to demonstrate expression and survival of AIFM3 signature. Gene Set Enrichment Analysis (GSEA) was performed to investigate the mechanisms related to AIFM3 expression in BC.

resultsAIFM3 was significantly more expressed in breast cancer tissues than in normal tissues. AIFM3 expression had a significant association with tumor size, lymph node metastasis, TNM stage and molecular typing. Higher AIFM3 expression was related to a shorter overall survival (OS) and disease-free survival (DFS). Lymph node metastasis and TNM stage were independent factors of AIFM3 expression. The study presented the crystal structure of AIFM3 successfully and predicted several binding sites when AIFM3 bonded to PTPN12 by Molecular Operating Environment software (MOE).

conclusionsAIFM3 might be a potential biomarker for predicting prognosis in BC, adding to growing evidence that AIFM3 might interact with PTPN12.

Indexed as

Up-RegulationAdultAgedAged, 80 and overApoptosis Inducing FactorBinding SitesBiomarkers, TumorBreast NeoplasmsDisease-Free SurvivalFemaleGene Expression Regulation, NeoplasticHumansKaplan-Meier EstimateLymphatic MetastasisMiddle AgedMitochondrial ProteinsAIFM3 protein, humanApoptosis Inducing FactorBiomarkers, TumorMitochondrial ProteinsProtein Tyrosine Phosphatase, Non-Receptor Type 12PTPN12 protein, humanAIFM3Breast cancerClinical implicationHomology modelingPrognosis

Identifiers

PMID31088422
PMCPMC6518782
OpenAlexW2946660789

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.