Evidence map›Paper›PMID 41020586›Full record

ArticleGenetics and molecular biology2025

Multi-omics analyses revealed three Golgi apparatus genes potentially associated with poor prognosis in colorectal cancer patients.

Peng Zhu, Shisi Shen, Xi Wang, Jie Li, Donge Tang, Yong Dai, Min Tang, Wei Zhang, Guoping Sun

Abstract read
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Article in Genetics and molecular biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Peng ZhuSouthern Medical University, Pingshan Hospital, Shenzhen Pingshan District People's Hospital, Shenzhen, China.
Shisi ShenChinese Academy of Medical Sciences and Peking Union Medical College, Peking Union Medical College Hospital, Departments of Obstetrics and Gynecology, Beijing, China.
Xi WangUniversity of Chinese Medicine, Shenzhen Traditional Chinese Medicine Hospital, The Fourth Clinical Medical College of Guangzhou, Shenzhen, China.
Jie LiPeking University Shenzhen Hospital, Department of Clinical Laboratory, Shenzhen, China.
Donge TangUniversity of Chinese Medicine, Shenzhen Traditional Chinese Medicine Hospital, The Fourth Clinical Medical College of Guangzhou, Shenzhen, China.
Yong DaiAnhui University of Science and Technology, School of Medicine, The First Affiliated Hospital, Huainan, China.
Min TangChongqing Medical University, Key Laboratory of Laboratory Medical Diagnostics designated by Chinese Ministry of Education, Chongqing, China.
Wei ZhangPeking University Shenzhen Hospital, Department of Clinical Laboratory, Shenzhen, China.ORCID http://orcid.org/0000-0002-4375-0368
Guoping SunSouthern Medical University, Pingshan Hospital, Shenzhen Pingshan District People's Hospital, Shenzhen, China.ORCID http://orcid.org/0009-0001-4433-4219

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The identification of novel functional biomarkers is crucial in recognizing high-risk colorectal cancer (CRC) patients. Despite this need, no prognostic biomarker has been implemented in clinical practice for CRC. To address this gap, we utilized integrated transcriptomic data from public databases alongside our original multi-omics data, including proteome and chromatin accessibility datasets. Bioinformatics studies on transcriptomic datasets from 487 CRC patients led us to identify three Golgi apparatus prognostic genes: NIPAL1, ZYG11B, and PARP10. We found that decreased expression of NIPAL1 and ZYG11B, as well as increased expression of PARP10, elevated the risk of CRC. These genes are potentially involved in cellular processes such as nucleotide excision repair and DNA replication. Additionally, our original multi-omics datasets, encompassing proteomic data and chromatin accessibility profiling from assay for transposase-accessible chromatin with sequencing (ATAC-Seq), identified alterations in protein levels of potential upstream transcription factors CDX2 and YY1 for three genes. Furthermore, chromatin accessibility at DNA binding regions corresponding to transcription factors such as SPI1 and JUND changed, potentially explaining the observed variations in mRNA levels for these genes. Our findings highlight the biological activities of these genes, including NIPAL1, PARP10, and ZYG11B, and their upstream regulators, offering a functional context for future in-depth mechanistic studies.

Identifiers

PMID41020586
PMCPMC12477754

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