Evidence map›Paper›PMID 40386627›Full record

Article3 Biotech2025

AUNIP was a candidate marker for prognosis and immunology in pan-cancer.

Xiaorong Guo, Ting Liu, Nan Li, Li Jin

Abstract read
In one paragraph

Article in 3 Biotech, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

4 authors.

Xiaorong Guo *Department of Pathology, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150086 Heilongjiang China.ORCID 0009-0001-4727-2981
Ting LiuDepartment of Pathology, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Chaoyang District, Beijing, 100015 China.
Nan LiDepartment of Pathology, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, 150081 Heilongjiang China.
Li Jin *Cancer Center, Department of Pathology, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, Zhejiang China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

AUNIP (Aurora kinase A[Aurora-A] and ninein-interacting protein), is a key factor regulating the end-state of DNA cleavage. It has been reported that AUNIP affects the progression of some tumors; however, the molecular functions involved in AUNIP remain unknown. We employed some databases, such as TCGA, GTEx, TIMER, GEPIA2, cBioportal, and GSCALite, to study AUNIP gene expression, prognosis, gene variation, and drug sensitivity. The relationship between AUNIP and clinicopathological information was explored using Wilcoxon test. The association between AUNIP and TMB, MSI, immunocyte infiltration, and immune checkpoints were analyzed using Spearman correlation analysis. We employed GSEA to research the functional mechanisms involved in AUNIP for pan-cancer. Moreover, we conducted immunohistochemistry (IHC) to investigate AUNIP difference expression between liver hepatocellular carcinoma (LIHC) and normal tissues. The Chisq test was used to study the correlation of AUNIP with clinical characteristics. AUNIP was highly expressed in majority of tumors and IHC analysis demonstrated that AUNIP expression was higher in LIHC than normal tissues. AUNIP overexpression had adverse outcomes in adrenocortical carcinoma (ACC), brain lower grade glioma (LGG), LIHC, mesothelioma (MESO), and sarcoma (SARC). Furthermore, high AUNIP expression led to unfavorable prognosis in LIHC. AUNIP was associated with T stage, N stage, and clinicopathological analysis in several cancers and AUNIP expression had a correlation with histologic grade in LIHC by IHC. Mutation analysis showed that AUNIP was the highest frequency of genetic changes in cholangiocarcinoma (CHOL). AUNIP was negatively associated with 30 small-molecule drugs that inhibit tumor development. AUNIP expression had association with TMB, MSI, immune cell infiltration, and immune checkpoints for various tumors. GSEA results suggested that AUNIP mainly participated in the cell cycle, DNA replication, mismatch repair, and homologous recombination.Pan-cancer study considered AUNIP as a potential prognostic marker and high latent diagnostic biomarker.

Indexed as

AUNIPHepatocellular carcinomaImmunityPan-cancerPrognostic

Identifiers

PMID40386627
PMCPMC12085456

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