Evidence map›Paper›PMID 38833082›Full record

ArticleBiochemical genetics2025

Integrated Bioinformatic Analysis Reveals the Oncogenic, Survival, and Prognostic Characteristics of TPX2 in Hepatocellular Carcinoma.

Weibin Zhang, Jia Dong, Yunfei Wu, Xiangnan Liang, Lida Suo, Liming Wang

Abstract read
In one paragraph

Article in Biochemical genetics, 2025. 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

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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.

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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.

Weibin ZhangDepartment of Hepatobiliary Surgery, The Second Hospital of Dalian Medical University, Dalian, China.
Jia DongDepartment of Radiology, Jinzhou Maternity and Infant Hospital, Jinzhou, China.
Yunfei WuDepartment of General Surgery, Jinzhou Central Hospital, Jinzhou, China.
Xiangnan LiangDepartment of Hepatobiliary Surgery, The Second Hospital of Dalian Medical University, Dalian, China.
Lida SuoDepartment of Hepatobiliary Surgery, The Second Hospital of Dalian Medical University, Dalian, China.
Liming WangDepartment of Hepatobiliary Surgery, The Second Hospital of Dalian Medical University, Dalian, China. webean_zhang@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Targeting protein for Xenopus kinesin-like protein 2 (TPX2), a well-known mitotic protein, has been linked to carcinogenesis in several cancers. This study investigated the role of TPX2 in hepatocellular carcinoma (HCC) from various aspects using bioinformatic analyses. TPX2 expression and its prognostic value in pan-cancers were analyzed using SangerBox. TPX2 expression and its association with prognosis, immune infiltration, tumor mutations, and signaling pathways in HCC were analyzed using UALCAN, BoxKaplan-Meier Plotter, GEPIA, Human Protein Atlas, TIMER 2.0, and SangerBox. Genes co-expressed with TPX2 in HCC were analyzed using the HCCDB database, followed by functional enrichment using SangerBox. Clinical predictive models were established based on TPX2 and its co-expressed genes using the ACLBI database. TPX2 expression significantly increased in pan-cancers and was associated with survival in nearly half of the cancer types. High TPX2 expression has been linked to poor survival outcomes in patients with HCC. TPX2 expression was positively correlated with abundant infiltration of immune cells (including B cells, CD4 + /CD8 + T cells, macrophages, neutrophils, and dendritic cells), TP53 mutation, and carcinogenesis-related pathways, such as the PI3K/AKT/mTOR pathway, cellular response to hypoxia, and tumor proliferation signature. Nineteen genes were found to be co-expressed with TPX2 in HCC, and these genes showed close positive correlations and were mainly implicated in cell cycle-related functions. A prognostic model established using TPX2 and its expressed genes could stratify HCC patients into high- and low-risk groups, with a significantly shorter survival time in high-risk groups. The prognostic model performed well in predicting 1-, 3-, and 5-year survival of patients with HCC, with areas under the curve of 0.801, 0.725, and 0.711, respectively. TPX2 functions as an oncogene in HCC, and its high expression is detrimental to the survival of patients with HCC. Thus, TPX2 may be a prognostic biomarker and potential therapeutic target for HCC.

Indexed as

Biomarkers, TumorCarcinoma, HepatocellularCell Cycle ProteinsComputational BiologyLiver NeoplasmsMicrotubule-Associated ProteinsGene Expression Regulation, NeoplasticHumansPrognosisBiomarkers, TumorCell Cycle ProteinsMicrotubule-Associated ProteinsTPX2 protein, humanCo-expressionHepatocellular carcinomaImmune infiltrationPrognosisTP53 mutationTPX2

Identifiers

PMID38833082
PMCPMC12144067

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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.