Evidence map›Paper›PMID 37154991›Full record

ArticleHepatology international2024

Centrosome amplification-related signature correlated with immune microenvironment and treatment response predicts prognosis and improves diagnosis of hepatocellular carcinoma by integrating machine learning and single-cell analyses.

Yanli Liu, Min He, Xinrong Ke, Yuting Chen, Jie Zhu, Ziqing Tan, Jingqi Chen

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Article in Hepatology international, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
4.1field-weighted citation impact, top 6% of its field
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

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

14 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
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  6. Role of cell cycle-related geneWorld journal of clinical oncology · 2025
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  10. Nomograms should be noted.Hepatology international · 2024
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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

7 authors at 3 institutions in 1 country.

Yanli LiuGuangzhou Key Laboratory for Research and Development of Nano-Biomedical Technology for Diagnosis and Therapy & Guangdong Provincial Education Department Key Laboratory of Nano-Immunoregulation Tumour Microenvironment, Department of Oncology & Translational Medicine Center, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, 510260, People's Republic of China.
Min HeGuangzhou Key Laboratory for Research and Development of Nano-Biomedical Technology for Diagnosis and Therapy & Guangdong Provincial Education Department Key Laboratory of Nano-Immunoregulation Tumour Microenvironment, Department of Oncology & Translational Medicine Center, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, 510260, People's Republic of China.
Xinrong KeGuangzhou Key Laboratory for Research and Development of Nano-Biomedical Technology for Diagnosis and Therapy & Guangdong Provincial Education Department Key Laboratory of Nano-Immunoregulation Tumour Microenvironment, Department of Oncology & Translational Medicine Center, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, 510260, People's Republic of China.
Yuting ChenState Key Laboratory of Respiratory Disease, The Second Clinical Medical School, Guangzhou Medical University, Guangzhou, 510180, Guangdong, People's Republic of China.
Jie ZhuState Key Laboratory of Respiratory Disease, The Second Clinical Medical School, Guangzhou Medical University, Guangzhou, 510180, Guangdong, People's Republic of China.
Ziqing TanState Key Laboratory of Respiratory Disease, The Second Clinical Medical School, Guangzhou Medical University, Guangzhou, 510180, Guangdong, People's Republic of China.
Jingqi ChenGuangzhou Key Laboratory for Research and Development of Nano-Biomedical Technology for Diagnosis and Therapy & Guangdong Provincial Education Department Key Laboratory of Nano-Immunoregulation Tumour Microenvironment, Department of Oncology & Translational Medicine Center, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, 510260, People's Republic of China. chenjingqi2002@163.com.
Guangzhou Medical University · CNSecond Affiliated Hospital of Guangzhou Medical University · CNState Key Laboratory of Respiratory Disease · CN

Funding

National Natural Science Foundation of China 81172537National Natural Science Foundation of China 81272900National Natural Science Foundation of China 81772828
6 · The paper itself

Abstract

backgroundCentrosome amplification is a well-recognized oncogenic driver of tumor initiation and progression across a variety of malignancies and has been linked with tumor aggressiveness, metastasis, and adverse prognosis. Nevertheless, the significance of centrosome amplification in HCC is not well understood.

methodsThe TCGA dataset was downloaded for centrosome amplification-related signature construction using the LASSO-penalized Cox regression algorithm, while the ICGC dataset was obtained for signature validation. Single-cell RNA sequencing from GSE149614 was analyzed to profile gene expression and the liver tumor niche.

resultsA total of 134 centrosome amplification-related prognostic genes in HCC were detected and 6 key prognostic genes (SSX2IP, SPAG4, SAC3D1, NPM1, CSNK1D, and CEP55) among them were screened out to construct a signature with both high sensitivity and specificity in diagnosis and prognosis of HCC patients. The signature, as an independent factor, was associated with frequent recurrences, high mortality rates, advanced clinicopathologic features, and high vascular invasions. Moreover, the signature was intimately associated with cell cycle-related pathways and TP53 mutation profile, suggesting its underlying role in accelerating cell cycle progression and leading to liver cancer development. Meanwhile, the signature was also closely correlated with immunosuppressive cell infiltration and immune checkpoint expression, making it a vital immunosuppressive factor in the tumor microenvironment. Upon single-cell RNA sequencing, SSX2IP and SAC3D1 were found to be specially expressed in liver cancer stem-like cells, where they promoted cell cycle progression and hypoxia.

conclusionsThis study provided a direct molecular link of centrosome amplification with clinical characteristics, tumor microenvironment, and clinical drug-response, highlighting the critical role of centrosome amplification in liver cancer development and therapy resistance, thereby providing valuable insights into prognostic prediction and therapeutic response of HCC.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsCell Cycle ProteinsCentrosomeHumansMicrotubule-Associated ProteinsPrognosisSingle-Cell AnalysisTumor MicroenvironmentCell Cycle ProteinsMicrotubule-Associated ProteinsSSX2IP protein, humanCell cycleCentrosome amplificationDiagnosisDrug sensitivityHepatocellular carcinomaImmune checkpointLiver cancer stem cellPrognosisTP53Tumor microenvironment

Identifiers

PMID37154991
OpenAlexW4375858947

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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.