Integrative multi-omics analysis identifies ATAD1 as a potential regulator of metastasis in pancreatic cancer

Pancreatic cancer is one of the most invasive malignant tumors and remains a leading cause of cancer-related deaths, among which pancreatic ductal adenocarcinoma (PDAC) serves as the most common type of pancreatic cancer. Metastasis development is one of the critical reasons for the high mortality in PDAC. Previous studies usually used single or two omics integrated methods to discover biological processes and biomarkers related to the tumorigenesis and prognosis of PDAC. However, the molecular mechanisms of PDAC metastasis remain largely unknown. Therefore, we intended to integrate multi-omics data to explore the metastasis of PDAC. To identify genes or pathways that have potential roles in PDAC metastasis at different levels, we performed whole-exome sequencing (WES), RNA sequencing (RNA-Seq) and LC-MS/MS-based proteomics analysis on primary-derived (BxPC-3, CFPAC-1) and metastasis-derived (HPAF-II, SW1990, MIA PaCa-2) PDAC cell lines. Through multi-omics integrative analysis, we found that ATAD1 (ATPase Family AAA Domain Containing 1) knockdown significantly suppressed migration and invasion capacities of PDAC cells. Finally, analysis of the TCGA pancreatic adenocarcinoma (TCGA-PAAD) cohort further revealed that high ATAD1 expression was associated with significantly shorter overall survival (log-rank p = 0.012) and progressively increased from well- to poorly differentiated tumors, implicating ATAD1 as a potential regulator of metastatic propensity and dedifferentiation in pancreatic cancer.

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Journal
Scientific Reports
Published
2026-05-11
DOI
https://doi.org/10.1038/s41598-026-52051-3
Primary Topic
Protein Degradation and Inhibitors
Type
article
Field-Weighted Citation Impact
0.00

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article

Integrative multi-omics analysis identifies ATAD1 as a potential regulator of metastasis in pancreatic cancer

Zelin Feng, Guangbo Kang, He Huang, Feng Gao et al.
Scientific Reports
Protein Degradation and Inhibitors
article

Integrative multi-omics analysis identifies ATAD1 as a potential regulator of metastasis in pancreatic cancer

Zelin Feng, Guangbo Kang, He Huang, Feng Gao, Haibin Yuan, Yi Zhang
article en

Abstract

Pancreatic cancer is one of the most invasive malignant tumors and remains a leading cause of cancer-related deaths, among which pancreatic ductal adenocarcinoma (PDAC) serves as the most common type of pancreatic cancer. Metastasis development is one of the critical reasons for the high mortality in PDAC. Previous studies usually used single or two omics integrated methods to discover biological processes and biomarkers related to the tumorigenesis and prognosis of PDAC. However, the molecular mechanisms of PDAC metastasis remain largely unknown. Therefore, we intended to integrate multi-omics data to explore the metastasis of PDAC. To identify genes or pathways that have potential roles in PDAC metastasis at different levels, we performed whole-exome sequencing (WES), RNA sequencing (RNA-Seq) and LC-MS/MS-based proteomics analysis on primary-derived (BxPC-3, CFPAC-1) and metastasis-derived (HPAF-II, SW1990, MIA PaCa-2) PDAC cell lines. Through multi-omics integrative analysis, we found that ATAD1 (ATPase Family AAA Domain Containing 1) knockdown significantly suppressed migration and invasion capacities of PDAC cells. Finally, analysis of the TCGA pancreatic adenocarcinoma (TCGA-PAAD) cohort further revealed that high ATAD1 expression was associated with significantly shorter overall survival (log-rank p = 0.012) and progressively increased from well- to poorly differentiated tumors, implicating ATAD1 as a potential regulator of metastatic propensity and dedifferentiation in pancreatic cancer.

Scientific Reports
Ministry of Education of the People's Republic of China (CN), Tianjin University (CN), Tianjin Medical University General Hospital (CN), Tianjin Synthetic Material Research Institute (China) (CN)
National Natural Science Foundation of China
Good health and well-being
Openalex Percentile: Top 9%
Protein Degradation and Inhibitors
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